Date: 2019-12-26 01:22:33 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 17416 rows and 433 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] 17416 433
The density distribution for each sample is visualized as in one column in the following heatmap. The clustering is based on the distance which is the Kolmogorov-Smirnov statistic between two distributions.
library(ComplexHeatmap)
densityHeatmap(mat, ylab = "value", cluster_columns = TRUE, show_column_names = FALSE,
mc.cores = 4)
Folowing table shows the best k (number of partitions) for each combination
of top-value methods and partition methods. Clicking on the method name in
the table goes to the section for a single combination of methods.
The cola vignette explains the definition of the metrics used for determining the best number of partitions.
suggest_best_k(res_list)
| The best k | 1-PAC | Mean silhouette | Concordance | Optional k | ||
|---|---|---|---|---|---|---|
| MAD:pam | 2 | 0.981 | 0.958 | 0.981 | ** | |
| ATC:pam | 2 | 0.957 | 0.950 | 0.978 | ** | |
| ATC:skmeans | 5 | 0.949 | 0.907 | 0.962 | * | 2,3 |
| MAD:skmeans | 2 | 0.947 | 0.945 | 0.977 | * | |
| SD:skmeans | 2 | 0.943 | 0.946 | 0.978 | * | |
| ATC:NMF | 3 | 0.930 | 0.929 | 0.969 | * | 2 |
| MAD:NMF | 2 | 0.928 | 0.947 | 0.978 | * | |
| ATC:kmeans | 5 | 0.905 | 0.867 | 0.922 | * | 3 |
| SD:NMF | 3 | 0.900 | 0.885 | 0.955 | * | 2 |
| CV:NMF | 3 | 0.889 | 0.907 | 0.962 | ||
| SD:pam | 2 | 0.884 | 0.927 | 0.953 | ||
| SD:kmeans | 2 | 0.878 | 0.915 | 0.965 | ||
| MAD:kmeans | 2 | 0.865 | 0.910 | 0.964 | ||
| ATC:mclust | 4 | 0.846 | 0.845 | 0.933 | ||
| CV:skmeans | 2 | 0.812 | 0.895 | 0.955 | ||
| CV:kmeans | 3 | 0.804 | 0.832 | 0.930 | ||
| CV:mclust | 2 | 0.734 | 0.866 | 0.933 | ||
| SD:mclust | 2 | 0.482 | 0.744 | 0.877 | ||
| MAD:mclust | 2 | 0.451 | 0.714 | 0.868 | ||
| CV:pam | 2 | 0.402 | 0.753 | 0.876 | ||
| SD:hclust | 3 | 0.277 | 0.546 | 0.770 | ||
| CV:hclust | 4 | 0.250 | 0.521 | 0.766 | ||
| ATC:hclust | 2 | 0.201 | 0.725 | 0.845 | ||
| MAD:hclust | 3 | 0.170 | 0.533 | 0.701 |
**: 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 0.957 0.952 0.980 0.501 0.500 0.500
#> CV:NMF 2 0.786 0.895 0.950 0.498 0.501 0.501
#> MAD:NMF 2 0.928 0.947 0.978 0.501 0.499 0.499
#> ATC:NMF 2 1.000 0.974 0.989 0.500 0.501 0.501
#> SD:skmeans 2 0.943 0.946 0.978 0.501 0.499 0.499
#> CV:skmeans 2 0.812 0.895 0.955 0.501 0.499 0.499
#> MAD:skmeans 2 0.947 0.945 0.977 0.501 0.499 0.499
#> ATC:skmeans 2 1.000 0.976 0.991 0.502 0.499 0.499
#> SD:mclust 2 0.482 0.744 0.877 0.468 0.508 0.508
#> CV:mclust 2 0.734 0.866 0.933 0.467 0.534 0.534
#> MAD:mclust 2 0.451 0.714 0.868 0.464 0.506 0.506
#> ATC:mclust 2 0.310 0.538 0.795 0.463 0.529 0.529
#> SD:kmeans 2 0.878 0.915 0.965 0.500 0.499 0.499
#> CV:kmeans 2 0.552 0.869 0.915 0.480 0.499 0.499
#> MAD:kmeans 2 0.865 0.910 0.964 0.499 0.499 0.499
#> ATC:kmeans 2 0.507 0.870 0.906 0.490 0.499 0.499
#> SD:pam 2 0.884 0.927 0.953 0.460 0.537 0.537
#> CV:pam 2 0.402 0.753 0.876 0.479 0.503 0.503
#> MAD:pam 2 0.981 0.958 0.981 0.463 0.538 0.538
#> ATC:pam 2 0.957 0.950 0.978 0.472 0.528 0.528
#> SD:hclust 2 0.275 0.688 0.846 0.354 0.678 0.678
#> CV:hclust 2 0.361 0.765 0.878 0.285 0.754 0.754
#> MAD:hclust 2 0.236 0.611 0.820 0.397 0.575 0.575
#> ATC:hclust 2 0.201 0.725 0.845 0.446 0.531 0.531
get_stats(res_list, k = 3)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 3 0.900 0.885 0.955 0.260 0.758 0.563
#> CV:NMF 3 0.889 0.907 0.962 0.278 0.774 0.584
#> MAD:NMF 3 0.862 0.867 0.947 0.265 0.764 0.571
#> ATC:NMF 3 0.930 0.929 0.969 0.304 0.669 0.439
#> SD:skmeans 3 0.877 0.891 0.954 0.305 0.775 0.579
#> CV:skmeans 3 0.865 0.893 0.954 0.305 0.774 0.578
#> MAD:skmeans 3 0.878 0.908 0.961 0.301 0.788 0.600
#> ATC:skmeans 3 0.958 0.946 0.978 0.313 0.741 0.528
#> SD:mclust 3 0.566 0.690 0.861 0.364 0.784 0.594
#> CV:mclust 3 0.514 0.642 0.829 0.365 0.781 0.597
#> MAD:mclust 3 0.547 0.667 0.825 0.363 0.842 0.692
#> ATC:mclust 3 0.572 0.588 0.818 0.346 0.601 0.370
#> SD:kmeans 3 0.717 0.763 0.896 0.293 0.803 0.623
#> CV:kmeans 3 0.804 0.832 0.930 0.278 0.774 0.593
#> MAD:kmeans 3 0.690 0.757 0.881 0.301 0.793 0.606
#> ATC:kmeans 3 0.934 0.912 0.960 0.319 0.774 0.581
#> SD:pam 3 0.614 0.708 0.873 0.411 0.793 0.624
#> CV:pam 3 0.508 0.717 0.849 0.280 0.780 0.590
#> MAD:pam 3 0.836 0.876 0.944 0.363 0.827 0.680
#> ATC:pam 3 0.394 0.558 0.719 0.309 0.678 0.463
#> SD:hclust 3 0.277 0.546 0.770 0.616 0.666 0.533
#> CV:hclust 3 0.377 0.743 0.873 0.170 0.977 0.970
#> MAD:hclust 3 0.170 0.533 0.701 0.429 0.689 0.517
#> ATC:hclust 3 0.217 0.462 0.727 0.345 0.846 0.712
get_stats(res_list, k = 4)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 4 0.723 0.813 0.887 0.168 0.811 0.533
#> CV:NMF 4 0.689 0.703 0.847 0.148 0.844 0.597
#> MAD:NMF 4 0.668 0.767 0.850 0.164 0.820 0.548
#> ATC:NMF 4 0.704 0.686 0.871 0.127 0.824 0.556
#> SD:skmeans 4 0.729 0.691 0.829 0.125 0.879 0.673
#> CV:skmeans 4 0.690 0.651 0.787 0.121 0.883 0.685
#> MAD:skmeans 4 0.710 0.589 0.761 0.128 0.805 0.509
#> ATC:skmeans 4 0.849 0.878 0.933 0.127 0.853 0.605
#> SD:mclust 4 0.550 0.624 0.778 0.122 0.880 0.673
#> CV:mclust 4 0.457 0.583 0.755 0.114 0.770 0.454
#> MAD:mclust 4 0.501 0.630 0.756 0.125 0.869 0.660
#> ATC:mclust 4 0.846 0.845 0.933 0.149 0.808 0.530
#> SD:kmeans 4 0.681 0.669 0.789 0.129 0.843 0.598
#> CV:kmeans 4 0.648 0.729 0.848 0.164 0.820 0.573
#> MAD:kmeans 4 0.635 0.650 0.803 0.126 0.834 0.580
#> ATC:kmeans 4 0.744 0.606 0.836 0.129 0.854 0.616
#> SD:pam 4 0.886 0.877 0.944 0.104 0.877 0.677
#> CV:pam 4 0.554 0.725 0.847 0.102 0.938 0.827
#> MAD:pam 4 0.760 0.775 0.901 0.139 0.885 0.701
#> ATC:pam 4 0.674 0.705 0.851 0.168 0.801 0.516
#> SD:hclust 4 0.318 0.539 0.707 0.163 0.875 0.713
#> CV:hclust 4 0.250 0.521 0.766 0.591 0.714 0.614
#> MAD:hclust 4 0.286 0.290 0.672 0.163 0.892 0.757
#> ATC:hclust 4 0.309 0.484 0.702 0.135 0.822 0.582
get_stats(res_list, k = 5)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 5 0.781 0.786 0.890 0.0648 0.913 0.685
#> CV:NMF 5 0.701 0.733 0.845 0.0759 0.864 0.550
#> MAD:NMF 5 0.734 0.747 0.862 0.0649 0.909 0.673
#> ATC:NMF 5 0.622 0.541 0.746 0.0695 0.808 0.435
#> SD:skmeans 5 0.869 0.834 0.928 0.0862 0.859 0.541
#> CV:skmeans 5 0.815 0.773 0.900 0.0868 0.870 0.576
#> MAD:skmeans 5 0.844 0.833 0.924 0.0864 0.865 0.538
#> ATC:skmeans 5 0.949 0.907 0.962 0.0665 0.892 0.623
#> SD:mclust 5 0.558 0.449 0.712 0.0548 0.903 0.685
#> CV:mclust 5 0.527 0.464 0.673 0.0500 0.847 0.545
#> MAD:mclust 5 0.559 0.536 0.738 0.0460 0.925 0.761
#> ATC:mclust 5 0.819 0.860 0.922 0.0430 0.874 0.623
#> SD:kmeans 5 0.715 0.738 0.841 0.0741 0.877 0.592
#> CV:kmeans 5 0.691 0.735 0.831 0.0779 0.914 0.714
#> MAD:kmeans 5 0.694 0.719 0.834 0.0723 0.862 0.555
#> ATC:kmeans 5 0.905 0.867 0.922 0.0679 0.882 0.606
#> SD:pam 5 0.719 0.674 0.769 0.0708 0.890 0.647
#> CV:pam 5 0.619 0.734 0.843 0.0859 0.910 0.721
#> MAD:pam 5 0.797 0.775 0.897 0.0706 0.885 0.638
#> ATC:pam 5 0.786 0.761 0.877 0.0654 0.936 0.776
#> SD:hclust 5 0.403 0.544 0.676 0.0801 0.939 0.821
#> CV:hclust 5 0.344 0.521 0.704 0.1959 0.866 0.718
#> MAD:hclust 5 0.346 0.324 0.616 0.0805 0.747 0.459
#> ATC:hclust 5 0.396 0.486 0.662 0.0773 0.909 0.701
get_stats(res_list, k = 6)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 6 0.752 0.705 0.844 0.0376 0.937 0.735
#> CV:NMF 6 0.770 0.709 0.855 0.0469 0.874 0.506
#> MAD:NMF 6 0.712 0.640 0.807 0.0391 0.933 0.715
#> ATC:NMF 6 0.682 0.632 0.794 0.0393 0.877 0.527
#> SD:skmeans 6 0.815 0.691 0.806 0.0339 0.936 0.708
#> CV:skmeans 6 0.801 0.671 0.832 0.0364 0.930 0.687
#> MAD:skmeans 6 0.800 0.658 0.826 0.0337 0.957 0.801
#> ATC:skmeans 6 0.851 0.844 0.912 0.0482 0.898 0.575
#> SD:mclust 6 0.576 0.310 0.665 0.0174 0.901 0.668
#> CV:mclust 6 0.569 0.561 0.736 0.0448 0.838 0.478
#> MAD:mclust 6 0.630 0.617 0.728 0.0518 0.926 0.744
#> ATC:mclust 6 0.773 0.688 0.842 0.0402 0.963 0.865
#> SD:kmeans 6 0.708 0.597 0.769 0.0428 0.940 0.738
#> CV:kmeans 6 0.727 0.686 0.819 0.0517 0.907 0.634
#> MAD:kmeans 6 0.691 0.591 0.774 0.0427 0.954 0.794
#> ATC:kmeans 6 0.749 0.642 0.812 0.0544 0.936 0.726
#> SD:pam 6 0.730 0.685 0.847 0.0504 0.870 0.524
#> CV:pam 6 0.694 0.742 0.852 0.0817 0.905 0.652
#> MAD:pam 6 0.701 0.588 0.773 0.0421 0.935 0.744
#> ATC:pam 6 0.733 0.685 0.844 0.0505 0.868 0.528
#> SD:hclust 6 0.490 0.428 0.680 0.0556 0.980 0.933
#> CV:hclust 6 0.396 0.476 0.710 0.0900 0.944 0.848
#> MAD:hclust 6 0.402 0.369 0.620 0.0612 0.793 0.466
#> ATC:hclust 6 0.484 0.464 0.662 0.0600 0.938 0.755
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 17416 rows and 433 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 0.275 0.688 0.846 0.3535 0.678 0.678
#> 3 3 0.277 0.546 0.770 0.6163 0.666 0.533
#> 4 4 0.318 0.539 0.707 0.1631 0.875 0.713
#> 5 5 0.403 0.544 0.676 0.0801 0.939 0.821
#> 6 6 0.490 0.428 0.680 0.0556 0.980 0.933
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 1 0.3879 0.81429 0.924 0.076
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.8813 0.59486 0.700 0.300
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.2778 0.73754 0.048 0.952
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0376 0.82089 0.996 0.004
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.5294 0.80042 0.880 0.120
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.6438 0.76985 0.836 0.164
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.8207 0.67595 0.744 0.256
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 1 1.0000 -0.06686 0.504 0.496
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 1 1.0000 -0.03030 0.504 0.496
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.82001 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 1 0.6623 0.76379 0.828 0.172
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.8144 0.67191 0.748 0.252
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.9754 0.40981 0.408 0.592
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.8813 0.59486 0.700 0.300
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.82001 1.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.3114 0.82108 0.944 0.056
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0672 0.82211 0.992 0.008
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.9775 0.37572 0.412 0.588
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.6343 0.77719 0.840 0.160
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0938 0.82206 0.988 0.012
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#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.1414 0.73361 0.020 0.980
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.0000 0.72270 0.000 1.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.2236 0.82308 0.964 0.036
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.82001 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.1843 0.82284 0.972 0.028
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.1414 0.82257 0.980 0.020
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.1414 0.73361 0.020 0.980
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.82001 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.6048 0.71827 0.148 0.852
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.82001 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 1 0.8861 0.60203 0.696 0.304
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.1414 0.73344 0.020 0.980
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.1184 0.82294 0.984 0.016
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.82001 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.8327 0.65620 0.264 0.736
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.82001 1.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 1 0.9323 0.50784 0.652 0.348
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0376 0.82057 0.996 0.004
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.1184 0.73178 0.016 0.984
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.82001 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0938 0.82230 0.988 0.012
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.4022 0.81536 0.920 0.080
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.82001 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.9661 0.45811 0.392 0.608
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.0000 0.72270 0.000 1.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.82001 1.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.8909 0.59124 0.308 0.692
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.1414 0.82362 0.980 0.020
#> B013515B-3825-40E0-9854-04EC0AFE600D 1 0.9170 0.53973 0.668 0.332
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 1 0.9170 0.54838 0.668 0.332
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 1 0.9866 0.22917 0.568 0.432
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.1414 0.73361 0.020 0.980
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.9993 0.16848 0.484 0.516
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.82001 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.3431 0.81477 0.936 0.064
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0672 0.82092 0.992 0.008
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 1 0.9635 0.40415 0.612 0.388
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.9087 0.54656 0.676 0.324
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 1 0.7139 0.74980 0.804 0.196
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.4431 0.81137 0.908 0.092
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.82001 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 1 0.9044 0.57152 0.680 0.320
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.6309 -0.00884 0.500 0.500 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.9212 0.12322 0.472 0.372 0.156
#> B5567E00-32AA-48D8-8087-1088C22B0994 3 0.4605 0.74067 0.000 0.204 0.796
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.1267 0.77332 0.972 0.024 0.004
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.5618 0.70173 0.796 0.156 0.048
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.7344 0.57624 0.684 0.232 0.084
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.8597 0.37193 0.576 0.292 0.132
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.9777 0.23950 0.260 0.436 0.304
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.5036 0.46041 0.020 0.808 0.172
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0892 0.77495 0.980 0.020 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.4629 0.62198 0.188 0.808 0.004
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.8763 0.48497 0.312 0.552 0.136
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.5656 0.28747 0.004 0.712 0.284
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.9212 0.12322 0.472 0.372 0.156
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.1643 0.77847 0.956 0.044 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.4862 0.72043 0.820 0.160 0.020
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.1529 0.77971 0.960 0.040 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.6195 0.34090 0.020 0.704 0.276
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.7749 0.46229 0.616 0.312 0.072
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.1647 0.77912 0.960 0.036 0.004
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.6509 0.07895 0.472 0.524 0.004
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.9207 0.06512 0.456 0.392 0.152
#> C1323790-6C24-4E54-A266-AE66588C1DD5 1 0.9532 -0.00283 0.432 0.376 0.192
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.1163 0.77743 0.972 0.028 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.6498 0.04368 0.008 0.596 0.396
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0747 0.76706 0.984 0.016 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.8834 0.47527 0.316 0.544 0.140
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.8834 0.47527 0.316 0.544 0.140
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.8591 0.34688 0.572 0.300 0.128
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.6208 0.60383 0.136 0.776 0.088
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.8648 0.32204 0.548 0.332 0.120
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.1031 0.77727 0.976 0.024 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.1031 0.77727 0.976 0.024 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 1 0.9328 0.08803 0.460 0.372 0.168
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0592 0.76679 0.988 0.012 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 1 0.9412 0.12077 0.476 0.336 0.188
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.8773 0.29200 0.536 0.336 0.128
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.4539 0.73240 0.836 0.148 0.016
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.1031 0.77727 0.976 0.024 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0892 0.77647 0.980 0.020 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.2173 0.58777 0.048 0.944 0.008
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.3780 0.59147 0.064 0.892 0.044
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0747 0.77300 0.984 0.016 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.1289 0.78010 0.968 0.032 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0747 0.76706 0.984 0.016 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.1031 0.77780 0.976 0.024 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.9574 0.08870 0.196 0.412 0.392
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.3966 0.52978 0.024 0.876 0.100
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.6090 0.34786 0.020 0.716 0.264
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0892 0.77701 0.980 0.020 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.6260 0.18909 0.448 0.552 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.2165 0.77744 0.936 0.064 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.4261 0.48744 0.012 0.848 0.140
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.6057 0.61515 0.196 0.760 0.044
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.5028 0.72928 0.040 0.132 0.828
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 1 0.6260 0.23862 0.552 0.448 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.1411 0.77956 0.964 0.036 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0747 0.77682 0.984 0.016 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.6299 0.09350 0.476 0.524 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.1753 0.58643 0.048 0.952 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 1 0.8399 0.42339 0.608 0.256 0.136
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0592 0.76679 0.988 0.012 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.5597 0.42038 0.020 0.764 0.216
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.8847 0.39705 0.148 0.552 0.300
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.3832 0.52425 0.020 0.880 0.100
#> 481EF2B5-E610-4F19-80F2-22327EE33378 1 0.9374 0.05435 0.464 0.360 0.176
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.6793 0.14142 0.452 0.536 0.012
#> 164DD212-0839-4644-8FEE-E6A07A60803B 2 0.9771 0.23375 0.256 0.436 0.308
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.4702 0.68348 0.788 0.212 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 2 0.8763 0.48497 0.312 0.552 0.136
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.2173 0.58777 0.048 0.944 0.008
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 1 0.9374 0.05435 0.464 0.360 0.176
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.9162 0.15282 0.500 0.340 0.160
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.1289 0.77845 0.968 0.032 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.5804 0.60245 0.112 0.800 0.088
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.5016 0.69462 0.000 0.240 0.760
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.6910 0.33030 0.396 0.584 0.020
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 2 0.8927 0.33473 0.384 0.488 0.128
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.1031 0.77727 0.976 0.024 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.1411 0.77851 0.964 0.036 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.5948 0.41172 0.360 0.640 0.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.5036 0.46041 0.020 0.808 0.172
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 1 0.7739 0.46125 0.644 0.268 0.088
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.1163 0.77876 0.972 0.028 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.8457 0.34919 0.100 0.356 0.544
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0892 0.77702 0.980 0.020 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.8571 0.34591 0.112 0.340 0.548
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 1 0.7816 0.42623 0.628 0.288 0.084
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.3607 0.75393 0.880 0.112 0.008
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0424 0.77512 0.992 0.008 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.4475 0.49476 0.016 0.840 0.144
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 1 0.9558 0.01578 0.444 0.356 0.200
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 1 0.9213 -0.10643 0.452 0.396 0.152
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.4289 0.75240 0.868 0.092 0.040
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.6927 0.59265 0.700 0.240 0.060
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.1031 0.77727 0.976 0.024 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.0592 0.76989 0.988 0.012 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 3 0.4235 0.75223 0.000 0.176 0.824
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.5559 0.68872 0.780 0.192 0.028
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.5842 0.47564 0.036 0.768 0.196
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.5859 0.47199 0.656 0.344 0.000
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.6309 -0.00243 0.500 0.500 0.000
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.0237 0.74017 0.000 0.004 0.996
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 1 0.9213 0.05018 0.452 0.396 0.152
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.4504 0.61615 0.196 0.804 0.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 1 0.7489 0.55227 0.664 0.256 0.080
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.8361 0.34648 0.092 0.364 0.544
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 1 0.9292 0.16197 0.492 0.332 0.176
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.2584 0.77622 0.928 0.064 0.008
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0747 0.76706 0.984 0.016 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 2 0.9367 0.03600 0.168 0.428 0.404
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.3375 0.76461 0.892 0.100 0.008
#> B54317C9-8704-42A6-BE96-E12855874596 2 0.9228 0.25704 0.176 0.508 0.316
#> 759B6273-634D-4145-AA95-452D628BF100 2 0.6799 0.12800 0.456 0.532 0.012
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.4399 0.62181 0.188 0.812 0.000
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.1647 0.77990 0.960 0.036 0.004
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 1 0.9491 -0.05281 0.420 0.396 0.184
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 1 0.1031 0.77727 0.976 0.024 0.000
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.6598 0.24026 0.428 0.564 0.008
#> A6177818-114B-437B-9928-A6747A788109 1 0.0424 0.77512 0.992 0.008 0.000
#> E7064800-48FD-492A-A074-84A0B2452445 1 0.9374 0.05435 0.464 0.360 0.176
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.4128 0.49618 0.012 0.856 0.132
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0592 0.76679 0.988 0.012 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.5681 0.38964 0.016 0.748 0.236
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.4784 0.72433 0.004 0.200 0.796
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 1 0.3213 0.76833 0.900 0.092 0.008
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 1 0.1031 0.77727 0.976 0.024 0.000
#> EB235E9A-E453-4108-AD4F-31260F4340A6 1 0.7798 0.48056 0.624 0.296 0.080
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 1 0.3500 0.76114 0.880 0.116 0.004
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 2 0.9830 0.28167 0.316 0.420 0.264
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.0424 0.76843 0.992 0.008 0.000
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#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.4796 0.61280 0.220 0.780 0.000
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.6910 0.33030 0.396 0.584 0.020
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.6379 0.12652 0.008 0.624 0.368
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 2 0.7078 0.59505 0.200 0.712 0.088
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 2 0.9211 0.26087 0.176 0.512 0.312
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.2261 0.77677 0.932 0.068 0.000
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.1289 0.77314 0.968 0.032 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 3 0.2448 0.76673 0.000 0.076 0.924
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.0747 0.74815 0.000 0.016 0.984
#> 420503AA-3799-4816-BEEC-0B4D05988D38 3 0.5016 0.71166 0.000 0.240 0.760
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.3499 0.76218 0.900 0.072 0.028
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0424 0.77512 0.992 0.008 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.2173 0.58777 0.048 0.944 0.008
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0892 0.77702 0.980 0.020 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0424 0.76940 0.992 0.008 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.8847 0.39705 0.148 0.552 0.300
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 1 0.4605 0.70497 0.796 0.204 0.000
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 3 0.4178 0.75214 0.000 0.172 0.828
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.3349 0.61376 0.108 0.888 0.004
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.4605 0.61650 0.204 0.796 0.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.5637 0.69832 0.788 0.172 0.040
#> B232056E-59B2-4D05-983D-8740D6994A71 3 0.4452 0.74270 0.000 0.192 0.808
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 3 0.4178 0.75214 0.000 0.172 0.828
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.2793 0.58259 0.044 0.928 0.028
#> 000F8487-E841-4370-B958-85AB3A6D88F9 3 0.1753 0.75785 0.000 0.048 0.952
#> B822A426-98C1-4976-9FC2-16347992AD78 2 0.9808 0.27123 0.288 0.432 0.280
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.4702 0.61458 0.212 0.788 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0747 0.76706 0.984 0.016 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.6719 0.60841 0.160 0.744 0.096
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 2 0.9367 0.03600 0.168 0.428 0.404
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.6193 0.30017 0.016 0.692 0.292
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.3941 0.75353 0.000 0.156 0.844
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 1 0.6082 0.57943 0.692 0.296 0.012
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.3349 0.76347 0.888 0.108 0.004
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.6769 0.51877 0.320 0.652 0.028
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.5859 0.47199 0.656 0.344 0.000
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.4121 0.52746 0.024 0.868 0.108
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 1 0.6678 0.08892 0.512 0.480 0.008
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 3 0.2448 0.76677 0.000 0.076 0.924
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 1 0.9741 -0.07916 0.412 0.360 0.228
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.7078 0.59505 0.200 0.712 0.088
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.6314 0.38104 0.604 0.392 0.004
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.8246 0.39304 0.588 0.312 0.100
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 1 0.8848 0.20966 0.504 0.372 0.124
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0892 0.77647 0.980 0.020 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.5053 0.71796 0.812 0.164 0.024
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.5656 0.60141 0.712 0.284 0.004
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0747 0.77300 0.984 0.016 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.3340 0.75390 0.880 0.120 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.9252 0.14349 0.480 0.356 0.164
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.8016 0.56301 0.260 0.632 0.108
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.1289 0.78010 0.968 0.032 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.1031 0.77727 0.976 0.024 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.4683 0.62202 0.140 0.836 0.024
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.1031 0.77727 0.976 0.024 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.6357 0.54170 0.296 0.684 0.020
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.3532 0.75809 0.884 0.108 0.008
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.6172 0.55930 0.680 0.308 0.012
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.9268 0.10744 0.484 0.348 0.168
#> FAA38111-F046-4ACD-B787-764A17EAF548 1 0.6386 0.31812 0.584 0.412 0.004
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.6676 0.02006 0.476 0.516 0.008
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.3649 0.55901 0.036 0.896 0.068
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.4602 0.73242 0.832 0.152 0.016
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.6193 0.30017 0.016 0.692 0.292
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.5219 0.69954 0.788 0.196 0.016
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.2804 0.59479 0.060 0.924 0.016
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.1031 0.75105 0.000 0.024 0.976
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.3263 0.58616 0.048 0.912 0.040
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 1 0.9502 0.00901 0.436 0.376 0.188
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.7448 0.45230 0.616 0.332 0.052
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 1 0.6521 0.04192 0.500 0.496 0.004
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.7339 0.58561 0.224 0.688 0.088
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.9355 0.15650 0.492 0.320 0.188
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.6793 0.14142 0.452 0.536 0.012
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.1643 0.77995 0.956 0.044 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.9154 0.13365 0.148 0.384 0.468
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0592 0.77363 0.988 0.012 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.1525 0.77959 0.964 0.032 0.004
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.1289 0.77856 0.968 0.032 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.5541 0.34427 0.008 0.740 0.252
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.8859 0.19806 0.500 0.376 0.124
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.7061 0.46380 0.332 0.632 0.036
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.1163 0.77954 0.972 0.028 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 2 0.9952 0.20024 0.292 0.376 0.332
#> 5663C145-B465-4509-BA9A-1A40584952BD 3 0.3816 0.75328 0.000 0.148 0.852
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.3816 0.75328 0.000 0.148 0.852
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.3816 0.75328 0.000 0.148 0.852
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0237 0.74017 0.000 0.004 0.996
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.5397 0.59399 0.720 0.280 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.1163 0.77805 0.972 0.028 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.3043 0.76973 0.908 0.084 0.008
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.3213 0.76907 0.900 0.092 0.008
#> D316C207-8020-47A7-8C2D-753CF42223B5 3 0.4178 0.75214 0.000 0.172 0.828
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0237 0.77385 0.996 0.004 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 3 0.6483 0.49147 0.008 0.392 0.600
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.1031 0.77788 0.976 0.024 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.5428 0.60939 0.120 0.816 0.064
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.3038 0.77091 0.000 0.104 0.896
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.3112 0.76756 0.900 0.096 0.004
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0747 0.76706 0.984 0.016 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.8379 0.36935 0.096 0.352 0.552
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0424 0.76843 0.992 0.008 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.2806 0.56750 0.032 0.928 0.040
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.1031 0.77941 0.976 0.024 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.2261 0.76469 0.000 0.068 0.932
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0592 0.76679 0.988 0.012 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.4399 0.70456 0.812 0.188 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.6260 0.21370 0.552 0.448 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0592 0.76679 0.988 0.012 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.9367 0.03600 0.168 0.428 0.404
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0237 0.74017 0.000 0.004 0.996
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0747 0.77229 0.984 0.016 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.6434 0.09621 0.008 0.612 0.380
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.3267 0.76042 0.884 0.116 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.3780 0.59147 0.064 0.892 0.044
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.3375 0.58561 0.048 0.908 0.044
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.9058 0.39440 0.180 0.544 0.276
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 3 0.4235 0.75223 0.000 0.176 0.824
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.9946 0.17580 0.284 0.368 0.348
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0892 0.77647 0.980 0.020 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.4982 0.70547 0.828 0.136 0.036
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.1525 0.77937 0.964 0.032 0.004
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.6184 0.57752 0.108 0.780 0.112
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.9490 0.03320 0.444 0.368 0.188
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.5597 0.62103 0.216 0.764 0.020
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.5559 0.68872 0.780 0.192 0.028
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.1031 0.77727 0.976 0.024 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.2903 0.58781 0.048 0.924 0.028
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.661 0.23559 0.376 0.536 0.000 0.088
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.781 0.57617 0.396 0.132 0.024 0.448
#> B5567E00-32AA-48D8-8087-1088C22B0994 3 0.575 0.70580 0.000 0.124 0.712 0.164
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.412 0.66087 0.760 0.004 0.000 0.236
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.525 0.54565 0.708 0.044 0.000 0.248
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.662 0.26127 0.604 0.088 0.008 0.300
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.795 0.30936 0.424 0.112 0.040 0.424
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 4 0.896 0.64024 0.188 0.180 0.136 0.496
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.615 0.49605 0.004 0.688 0.132 0.176
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.330 0.72267 0.848 0.008 0.000 0.144
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.376 0.60749 0.076 0.852 0.000 0.072
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.866 0.41994 0.184 0.500 0.080 0.236
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.677 0.36725 0.000 0.604 0.236 0.160
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.781 0.57617 0.396 0.132 0.024 0.448
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.300 0.74820 0.892 0.044 0.000 0.064
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.529 0.59733 0.740 0.080 0.000 0.180
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.202 0.75137 0.936 0.040 0.000 0.024
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.706 0.37390 0.004 0.592 0.192 0.212
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.777 0.02640 0.540 0.140 0.032 0.288
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.326 0.73737 0.844 0.004 0.000 0.152
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.709 0.19393 0.368 0.512 0.004 0.116
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 4 0.839 0.60074 0.368 0.172 0.040 0.420
#> C1323790-6C24-4E54-A266-AE66588C1DD5 4 0.803 0.63796 0.356 0.136 0.036 0.472
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.141 0.75020 0.960 0.024 0.000 0.016
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.762 0.08789 0.000 0.460 0.316 0.224
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.384 0.65643 0.776 0.000 0.000 0.224
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.875 0.41821 0.200 0.488 0.080 0.232
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.875 0.41821 0.200 0.488 0.080 0.232
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.737 -0.34561 0.480 0.096 0.020 0.404
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.640 0.53669 0.072 0.696 0.040 0.192
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.781 -0.38900 0.460 0.144 0.020 0.376
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.130 0.74944 0.964 0.020 0.000 0.016
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.130 0.74944 0.964 0.020 0.000 0.016
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.792 0.59708 0.384 0.136 0.028 0.452
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.322 0.70180 0.836 0.000 0.000 0.164
#> 2A08011A-E15E-4754-B560-4637EF3A446B 4 0.821 0.58306 0.324 0.116 0.064 0.496
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.782 -0.42538 0.452 0.144 0.020 0.384
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.492 0.63161 0.760 0.056 0.000 0.184
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.130 0.74944 0.964 0.020 0.000 0.016
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#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.295 0.62975 0.020 0.900 0.012 0.068
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.270 0.75915 0.000 0.000 0.876 0.124
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.267 0.61966 0.000 0.904 0.024 0.072
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 4 0.804 0.63560 0.364 0.136 0.036 0.464
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.740 -0.05435 0.528 0.152 0.008 0.312
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.715 0.13569 0.404 0.476 0.004 0.116
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.794 0.36625 0.160 0.568 0.052 0.220
#> 8DBE419E-A360-4493-AC3B-C145887D9237 4 0.820 0.56004 0.392 0.120 0.052 0.436
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.755 0.04106 0.332 0.464 0.000 0.204
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.211 0.75146 0.932 0.024 0.000 0.044
#> 94491627-B82B-4986-9137-FF5B2D2E1336 4 0.886 0.39282 0.100 0.156 0.272 0.472
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.371 0.68872 0.804 0.004 0.000 0.192
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.309 0.73965 0.864 0.008 0.000 0.128
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.182 0.74936 0.944 0.020 0.000 0.036
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.679 0.38722 0.000 0.608 0.204 0.188
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.805 -0.43285 0.440 0.180 0.020 0.360
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.739 0.25129 0.224 0.560 0.008 0.208
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.222 0.75148 0.924 0.016 0.000 0.060
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 4 0.870 0.62765 0.188 0.148 0.136 0.528
#> 5663C145-B465-4509-BA9A-1A40584952BD 3 0.472 0.74847 0.000 0.092 0.792 0.116
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.472 0.74847 0.000 0.092 0.792 0.116
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.472 0.74847 0.000 0.092 0.792 0.116
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.215 0.73470 0.000 0.000 0.912 0.088
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.599 0.46456 0.644 0.284 0.000 0.072
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.162 0.75009 0.952 0.020 0.000 0.028
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.343 0.73228 0.860 0.028 0.000 0.112
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.350 0.72534 0.860 0.036 0.000 0.104
#> D316C207-8020-47A7-8C2D-753CF42223B5 3 0.490 0.75164 0.000 0.104 0.780 0.116
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.213 0.74676 0.920 0.004 0.000 0.076
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 3 0.739 0.45225 0.000 0.284 0.512 0.204
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.191 0.75360 0.940 0.020 0.000 0.040
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.538 0.54471 0.060 0.756 0.016 0.168
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.413 0.77820 0.000 0.052 0.824 0.124
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.428 0.71920 0.820 0.076 0.000 0.104
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.394 0.64352 0.764 0.000 0.000 0.236
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 4 0.853 0.12517 0.060 0.148 0.364 0.428
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.270 0.72486 0.876 0.000 0.000 0.124
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.296 0.61649 0.004 0.896 0.028 0.072
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.234 0.75523 0.920 0.020 0.000 0.060
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.385 0.75244 0.000 0.012 0.808 0.180
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.322 0.70180 0.836 0.000 0.000 0.164
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.550 0.60494 0.724 0.188 0.000 0.088
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.697 0.05110 0.436 0.452 0.000 0.112
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.336 0.69389 0.824 0.000 0.000 0.176
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 4 0.877 0.50845 0.112 0.176 0.200 0.512
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.215 0.73470 0.000 0.000 0.912 0.088
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.320 0.73021 0.856 0.008 0.000 0.136
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.757 0.13530 0.000 0.476 0.300 0.224
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.419 0.69355 0.824 0.064 0.000 0.112
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.354 0.61596 0.012 0.868 0.024 0.096
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.284 0.61905 0.000 0.896 0.028 0.076
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.886 0.31889 0.092 0.484 0.212 0.212
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 3 0.511 0.75745 0.000 0.104 0.764 0.132
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 4 0.884 0.61500 0.188 0.148 0.152 0.512
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.130 0.74932 0.964 0.020 0.000 0.016
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.473 0.65005 0.784 0.068 0.000 0.148
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.236 0.75490 0.920 0.024 0.000 0.056
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.659 0.50150 0.052 0.668 0.052 0.228
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.815 0.62818 0.364 0.132 0.044 0.460
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.579 0.55142 0.148 0.728 0.008 0.116
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.572 0.53515 0.696 0.084 0.000 0.220
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.130 0.74944 0.964 0.020 0.000 0.016
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.317 0.62434 0.008 0.884 0.020 0.088
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.712 0.22160 0.284 0.520 0.072 0.124 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.579 0.63624 0.276 0.060 0.636 0.016 0.012
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.524 0.65298 0.000 0.112 0.148 0.020 0.720
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.519 0.62763 0.700 0.004 0.132 0.164 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.519 0.48210 0.660 0.012 0.284 0.040 0.004
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.652 0.10756 0.512 0.052 0.380 0.048 0.008
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.718 0.42336 0.324 0.060 0.516 0.080 0.020
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.559 0.59751 0.080 0.100 0.720 0.000 0.100
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.626 0.46368 0.004 0.660 0.136 0.056 0.144
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.381 0.71547 0.812 0.000 0.096 0.092 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.357 0.50821 0.012 0.848 0.048 0.088 0.004
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.553 0.85362 0.096 0.224 0.004 0.668 0.008
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.668 0.38805 0.000 0.580 0.140 0.048 0.232
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.579 0.63624 0.276 0.060 0.636 0.016 0.012
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.361 0.73559 0.852 0.052 0.044 0.052 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.557 0.51875 0.652 0.040 0.264 0.044 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.267 0.74505 0.900 0.020 0.032 0.048 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.679 0.38226 0.000 0.572 0.164 0.048 0.216
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.715 -0.19207 0.436 0.088 0.416 0.032 0.028
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.396 0.72695 0.808 0.004 0.104 0.084 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.751 0.24994 0.284 0.492 0.136 0.084 0.004
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.636 0.64932 0.256 0.100 0.608 0.024 0.012
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.585 0.67247 0.244 0.064 0.656 0.016 0.020
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.198 0.74453 0.932 0.012 0.028 0.028 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.750 0.13414 0.000 0.436 0.148 0.076 0.340
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.488 0.62130 0.720 0.000 0.128 0.152 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.600 0.83493 0.124 0.232 0.004 0.628 0.012
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.600 0.83493 0.124 0.232 0.004 0.628 0.012
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.568 0.48239 0.364 0.024 0.576 0.028 0.008
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.610 0.49994 0.056 0.660 0.224 0.028 0.032
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.639 0.52018 0.344 0.068 0.548 0.032 0.008
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.189 0.74372 0.936 0.012 0.028 0.024 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.189 0.74402 0.936 0.012 0.028 0.024 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.578 0.65018 0.264 0.064 0.644 0.016 0.012
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.412 0.68145 0.788 0.000 0.096 0.116 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.678 0.62808 0.220 0.056 0.620 0.072 0.032
#> 333F9855-9462-46B8-87C8-E9B01572C101 3 0.636 0.54312 0.336 0.068 0.556 0.032 0.008
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.538 0.56216 0.676 0.036 0.244 0.044 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.189 0.74372 0.936 0.012 0.028 0.024 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.208 0.74457 0.928 0.016 0.024 0.032 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.236 0.55284 0.000 0.912 0.052 0.024 0.012
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.353 0.56190 0.000 0.840 0.108 0.040 0.012
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.436 0.65930 0.768 0.000 0.112 0.120 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.249 0.73988 0.896 0.000 0.068 0.036 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.508 0.60045 0.700 0.000 0.136 0.164 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.235 0.74723 0.916 0.020 0.032 0.032 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.586 0.52680 0.060 0.088 0.704 0.008 0.140
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.511 0.51129 0.000 0.756 0.084 0.068 0.092
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.677 0.39034 0.000 0.572 0.180 0.044 0.204
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.241 0.74924 0.900 0.000 0.068 0.032 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.684 0.27763 0.232 0.576 0.072 0.120 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.375 0.74017 0.840 0.036 0.084 0.040 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.558 0.48277 0.000 0.716 0.092 0.064 0.128
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.571 0.47839 0.056 0.656 0.244 0.044 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 5 0.479 0.57852 0.000 0.004 0.324 0.028 0.644
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.772 0.08689 0.352 0.408 0.124 0.116 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.380 0.73004 0.820 0.004 0.092 0.084 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.174 0.74880 0.940 0.004 0.028 0.028 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.698 0.24958 0.252 0.552 0.072 0.124 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.222 0.55067 0.000 0.920 0.044 0.024 0.012
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.595 0.38093 0.412 0.040 0.516 0.028 0.004
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.412 0.68145 0.788 0.000 0.096 0.116 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.636 0.41931 0.000 0.632 0.092 0.072 0.204
#> D6654189-0570-4603-8C92-3032F2CF7EF3 4 0.667 0.71351 0.020 0.236 0.008 0.572 0.164
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.510 0.50574 0.000 0.756 0.084 0.064 0.096
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.560 0.63804 0.252 0.052 0.664 0.024 0.008
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.775 0.09971 0.244 0.424 0.260 0.072 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.558 0.59285 0.076 0.100 0.720 0.000 0.104
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.640 0.52548 0.636 0.184 0.104 0.076 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.553 0.85362 0.096 0.224 0.004 0.668 0.008
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.236 0.55284 0.000 0.912 0.052 0.024 0.012
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.560 0.63804 0.252 0.052 0.664 0.024 0.008
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.575 0.58357 0.296 0.052 0.624 0.020 0.008
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.247 0.74322 0.908 0.012 0.040 0.040 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.547 0.52169 0.016 0.708 0.200 0.036 0.040
#> 6724AE7B-3398-441C-9B84-6177D83F767B 5 0.571 0.47020 0.000 0.060 0.380 0.012 0.548
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.729 0.34104 0.196 0.544 0.160 0.100 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.629 0.71576 0.192 0.188 0.008 0.604 0.008
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.189 0.74402 0.936 0.012 0.028 0.024 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.237 0.74683 0.916 0.028 0.028 0.028 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.664 0.38442 0.188 0.612 0.124 0.076 0.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.626 0.46368 0.004 0.660 0.136 0.056 0.144
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 1 0.768 0.15090 0.460 0.100 0.112 0.320 0.008
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.191 0.75203 0.932 0.004 0.036 0.028 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.617 0.22998 0.020 0.080 0.588 0.008 0.304
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.161 0.74835 0.948 0.012 0.024 0.016 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.688 0.14768 0.040 0.088 0.536 0.016 0.320
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 1 0.770 0.10982 0.452 0.104 0.108 0.328 0.008
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.444 0.65657 0.756 0.016 0.192 0.036 0.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.158 0.74278 0.944 0.000 0.028 0.028 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.560 0.49746 0.000 0.712 0.104 0.056 0.128
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 3 0.636 0.67851 0.216 0.064 0.648 0.048 0.024
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 3 0.916 -0.00539 0.272 0.152 0.280 0.256 0.040
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.482 0.60852 0.708 0.012 0.236 0.044 0.000
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#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.335 0.71972 0.844 0.000 0.064 0.092 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.331 0.55541 0.000 0.864 0.076 0.028 0.032
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.232 0.75355 0.916 0.016 0.044 0.024 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 5 0.399 0.68714 0.000 0.000 0.196 0.036 0.768
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.412 0.68145 0.788 0.000 0.096 0.116 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.584 0.56304 0.676 0.192 0.064 0.068 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.763 0.13270 0.340 0.424 0.148 0.088 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.420 0.67187 0.780 0.000 0.092 0.128 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.574 0.47318 0.032 0.092 0.704 0.012 0.160
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 5 0.348 0.64578 0.000 0.000 0.056 0.112 0.832
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.370 0.73000 0.832 0.008 0.072 0.088 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.744 0.17630 0.000 0.452 0.148 0.072 0.328
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.488 0.66036 0.748 0.056 0.164 0.032 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.353 0.56190 0.000 0.840 0.108 0.040 0.012
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.320 0.55288 0.000 0.872 0.064 0.028 0.036
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.717 0.73604 0.048 0.220 0.024 0.576 0.132
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.506 0.66808 0.000 0.076 0.056 0.112 0.756
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.669 0.57747 0.100 0.072 0.668 0.044 0.116
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.189 0.74398 0.936 0.012 0.024 0.028 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.511 0.61111 0.700 0.048 0.228 0.024 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.292 0.74945 0.884 0.016 0.064 0.036 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.600 0.47521 0.032 0.640 0.264 0.024 0.040
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.596 0.67443 0.240 0.068 0.652 0.024 0.016
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.575 0.50395 0.112 0.724 0.092 0.056 0.016
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.575 0.44419 0.616 0.044 0.300 0.040 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.189 0.74402 0.936 0.012 0.028 0.024 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.342 0.56094 0.008 0.860 0.088 0.024 0.020
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.709 0.29205 0.240 0.460 0.224 0.016 0.000 0.060
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 6 0.458 0.44703 0.232 0.016 0.032 0.008 0.004 0.708
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.577 0.64176 0.000 0.120 0.088 0.008 0.664 0.120
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.482 0.23223 0.596 0.004 0.356 0.028 0.000 0.016
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.569 0.16475 0.588 0.012 0.100 0.016 0.000 0.284
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.618 -0.18687 0.464 0.020 0.100 0.012 0.004 0.400
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 6 0.674 -0.19593 0.260 0.028 0.168 0.020 0.008 0.516
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 6 0.353 0.52307 0.048 0.024 0.020 0.000 0.064 0.844
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.625 0.51902 0.004 0.636 0.124 0.016 0.100 0.120
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.377 0.48716 0.760 0.000 0.204 0.024 0.000 0.012
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.321 0.60103 0.000 0.832 0.132 0.016 0.004 0.016
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.201 0.67813 0.032 0.036 0.012 0.920 0.000 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.656 0.42387 0.000 0.572 0.088 0.012 0.192 0.136
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 6 0.458 0.44703 0.232 0.016 0.032 0.008 0.004 0.708
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.380 0.56617 0.804 0.032 0.128 0.004 0.000 0.032
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.587 0.21353 0.584 0.016 0.120 0.016 0.000 0.264
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.261 0.59169 0.892 0.008 0.012 0.052 0.000 0.036
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.681 0.42640 0.000 0.548 0.116 0.012 0.184 0.140
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 6 0.712 -0.10052 0.372 0.056 0.120 0.008 0.024 0.420
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.420 0.50313 0.720 0.004 0.220 0.000 0.000 0.056
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.738 0.21789 0.248 0.448 0.176 0.016 0.000 0.112
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 6 0.576 0.42842 0.216 0.048 0.068 0.008 0.012 0.648
#> C1323790-6C24-4E54-A266-AE66588C1DD5 6 0.462 0.47958 0.208 0.016 0.032 0.008 0.012 0.724
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.171 0.60022 0.936 0.000 0.016 0.028 0.000 0.020
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.753 0.18145 0.000 0.420 0.148 0.020 0.280 0.132
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.404 0.21731 0.608 0.000 0.380 0.012 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.334 0.68589 0.056 0.060 0.020 0.852 0.000 0.012
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.334 0.68589 0.056 0.060 0.020 0.852 0.000 0.012
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 6 0.561 0.21051 0.276 0.004 0.120 0.008 0.004 0.588
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.609 0.58427 0.044 0.644 0.076 0.016 0.024 0.196
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 6 0.555 0.26868 0.296 0.028 0.080 0.004 0.000 0.592
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.154 0.60031 0.944 0.000 0.012 0.024 0.000 0.020
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.154 0.60083 0.944 0.000 0.016 0.016 0.000 0.024
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 6 0.460 0.45644 0.224 0.016 0.036 0.008 0.004 0.712
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.360 0.39444 0.704 0.000 0.288 0.000 0.000 0.008
#> 2A08011A-E15E-4754-B560-4637EF3A446B 6 0.590 0.22609 0.140 0.016 0.180 0.012 0.016 0.636
#> 333F9855-9462-46B8-87C8-E9B01572C101 6 0.537 0.29368 0.292 0.024 0.072 0.004 0.000 0.608
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.557 0.27387 0.612 0.016 0.112 0.008 0.000 0.252
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.154 0.60031 0.944 0.000 0.012 0.024 0.000 0.020
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.160 0.60130 0.944 0.004 0.012 0.020 0.000 0.020
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.216 0.64016 0.000 0.908 0.028 0.008 0.000 0.056
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.333 0.64267 0.000 0.836 0.056 0.004 0.008 0.096
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.385 0.31629 0.664 0.000 0.324 0.012 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.335 0.57411 0.828 0.000 0.100 0.008 0.000 0.064
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.407 0.17896 0.596 0.000 0.392 0.012 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.201 0.60476 0.924 0.004 0.024 0.016 0.000 0.032
#> 9BDFB73A-076E-418B-B84E-381341688002 6 0.410 0.51093 0.044 0.020 0.028 0.000 0.108 0.800
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.482 0.58856 0.000 0.756 0.084 0.016 0.068 0.076
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.676 0.42831 0.000 0.544 0.104 0.008 0.172 0.172
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.231 0.59245 0.888 0.000 0.092 0.004 0.000 0.016
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.683 0.37637 0.200 0.512 0.216 0.016 0.000 0.056
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.432 0.55324 0.768 0.024 0.128 0.004 0.000 0.076
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.535 0.55800 0.000 0.716 0.084 0.020 0.092 0.088
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.580 0.53724 0.036 0.612 0.092 0.012 0.000 0.248
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 5 0.469 0.51984 0.000 0.000 0.052 0.004 0.616 0.328
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.776 0.02489 0.320 0.348 0.188 0.024 0.000 0.120
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.406 0.51387 0.732 0.004 0.216 0.000 0.000 0.048
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.251 0.59985 0.884 0.004 0.088 0.008 0.000 0.016
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.694 0.34840 0.212 0.488 0.228 0.016 0.000 0.056
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.204 0.63904 0.000 0.916 0.028 0.008 0.000 0.048
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 6 0.548 -0.00997 0.356 0.004 0.080 0.008 0.004 0.548
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.360 0.39444 0.704 0.000 0.288 0.000 0.000 0.008
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.631 0.49283 0.000 0.632 0.108 0.036 0.144 0.080
#> D6654189-0570-4603-8C92-3032F2CF7EF3 4 0.455 0.55486 0.012 0.052 0.032 0.764 0.136 0.004
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.486 0.58336 0.000 0.756 0.080 0.020 0.068 0.076
#> 481EF2B5-E610-4F19-80F2-22327EE33378 6 0.487 0.41973 0.180 0.008 0.084 0.012 0.004 0.712
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.762 0.11966 0.180 0.368 0.196 0.004 0.000 0.252
#> 164DD212-0839-4644-8FEE-E6A07A60803B 6 0.352 0.52172 0.044 0.024 0.020 0.000 0.068 0.844
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.633 0.25937 0.608 0.156 0.128 0.012 0.000 0.096
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.201 0.67813 0.032 0.036 0.012 0.920 0.000 0.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.216 0.64016 0.000 0.908 0.028 0.008 0.000 0.056
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 6 0.487 0.41973 0.180 0.008 0.084 0.012 0.004 0.712
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 6 0.512 0.34835 0.224 0.008 0.080 0.012 0.004 0.672
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.220 0.59719 0.912 0.000 0.024 0.032 0.000 0.032
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.527 0.59845 0.008 0.688 0.056 0.012 0.032 0.204
#> 6724AE7B-3398-441C-9B84-6177D83F767B 5 0.515 0.40200 0.000 0.016 0.040 0.004 0.516 0.424
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.711 0.40639 0.168 0.508 0.172 0.012 0.000 0.140
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.424 0.61692 0.128 0.036 0.036 0.784 0.000 0.016
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.145 0.60027 0.948 0.000 0.012 0.016 0.000 0.024
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.231 0.60452 0.912 0.016 0.036 0.020 0.000 0.016
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.643 0.45316 0.144 0.580 0.168 0.004 0.000 0.104
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.625 0.51902 0.004 0.636 0.124 0.016 0.100 0.120
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.623 -0.11817 0.420 0.008 0.032 0.432 0.000 0.108
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.195 0.60710 0.924 0.000 0.036 0.020 0.000 0.020
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 6 0.442 0.29796 0.004 0.016 0.024 0.000 0.272 0.684
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.169 0.60219 0.924 0.000 0.064 0.000 0.000 0.012
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 6 0.536 0.21880 0.028 0.020 0.040 0.000 0.288 0.624
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.619 -0.06158 0.400 0.008 0.032 0.456 0.000 0.104
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.522 0.40158 0.668 0.012 0.128 0.008 0.000 0.184
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.251 0.58644 0.880 0.000 0.092 0.008 0.000 0.020
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.527 0.57021 0.000 0.720 0.084 0.016 0.096 0.084
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 6 0.543 0.41159 0.184 0.016 0.108 0.004 0.016 0.672
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 4 0.806 -0.20148 0.256 0.036 0.056 0.340 0.024 0.288
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.562 0.30489 0.624 0.008 0.128 0.020 0.000 0.220
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.606 -0.16242 0.456 0.020 0.112 0.008 0.000 0.404
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.118 0.60107 0.960 0.000 0.012 0.012 0.000 0.016
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.380 0.33993 0.676 0.000 0.312 0.012 0.000 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 5 0.577 0.67669 0.000 0.064 0.088 0.080 0.696 0.072
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.591 0.11201 0.548 0.020 0.116 0.008 0.000 0.308
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.609 0.52061 0.000 0.656 0.112 0.044 0.128 0.060
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.727 -0.08397 0.404 0.292 0.224 0.016 0.000 0.064
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.709 0.29205 0.240 0.460 0.224 0.016 0.000 0.060
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 5 0.423 0.62293 0.000 0.000 0.104 0.068 0.780 0.048
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 6 0.563 0.44007 0.212 0.048 0.060 0.008 0.012 0.660
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.300 0.59525 0.000 0.832 0.144 0.016 0.000 0.008
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 1 0.621 -0.23754 0.440 0.024 0.052 0.048 0.000 0.436
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 6 0.446 0.28535 0.004 0.016 0.024 0.000 0.280 0.676
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 6 0.611 0.18640 0.164 0.020 0.184 0.012 0.012 0.608
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.561 0.27313 0.600 0.012 0.268 0.012 0.000 0.108
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.401 0.23278 0.616 0.000 0.372 0.012 0.000 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 6 0.346 0.49484 0.012 0.020 0.016 0.000 0.128 0.824
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.434 0.51705 0.776 0.004 0.036 0.088 0.000 0.096
#> B54317C9-8704-42A6-BE96-E12855874596 6 0.521 0.43165 0.020 0.140 0.028 0.000 0.104 0.708
#> 759B6273-634D-4145-AA95-452D628BF100 2 0.764 0.10863 0.184 0.364 0.196 0.004 0.000 0.252
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.302 0.60144 0.000 0.836 0.136 0.012 0.000 0.016
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.432 0.56078 0.764 0.004 0.116 0.016 0.000 0.100
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 6 0.520 0.48913 0.180 0.048 0.040 0.008 0.016 0.708
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 1 0.118 0.60107 0.960 0.000 0.012 0.012 0.000 0.016
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.691 0.37978 0.204 0.520 0.196 0.028 0.000 0.052
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#> F6788A89-A4C8-4863-859E-A94E3D64C10E 6 0.346 0.49484 0.012 0.020 0.016 0.000 0.128 0.824
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 5 0.423 0.62293 0.000 0.000 0.104 0.068 0.780 0.048
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.354 0.53352 0.756 0.004 0.224 0.000 0.000 0.016
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.746 0.21939 0.000 0.436 0.148 0.020 0.272 0.124
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.508 0.44430 0.712 0.024 0.072 0.024 0.000 0.168
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.333 0.64267 0.000 0.836 0.056 0.004 0.008 0.096
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.304 0.63893 0.000 0.864 0.044 0.012 0.008 0.072
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.520 0.54961 0.020 0.056 0.044 0.744 0.112 0.024
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.581 0.67517 0.000 0.064 0.096 0.080 0.692 0.068
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 6 0.477 0.47525 0.076 0.004 0.068 0.004 0.092 0.756
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.145 0.60018 0.948 0.000 0.012 0.020 0.000 0.020
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.552 0.28226 0.624 0.012 0.088 0.020 0.000 0.256
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.264 0.59984 0.888 0.000 0.036 0.032 0.000 0.044
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.615 0.54554 0.028 0.612 0.076 0.012 0.032 0.240
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 6 0.473 0.47072 0.204 0.016 0.040 0.012 0.008 0.720
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.548 0.58331 0.100 0.700 0.124 0.004 0.012 0.060
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.591 0.11201 0.548 0.020 0.116 0.008 0.000 0.308
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.145 0.60027 0.948 0.000 0.012 0.016 0.000 0.024
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.328 0.64395 0.004 0.844 0.044 0.008 0.004 0.096
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 17416 rows and 433 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.878 0.915 0.965 0.4998 0.499 0.499
#> 3 3 0.717 0.763 0.896 0.2931 0.803 0.623
#> 4 4 0.681 0.669 0.789 0.1290 0.843 0.598
#> 5 5 0.715 0.738 0.841 0.0741 0.877 0.592
#> 6 6 0.708 0.597 0.769 0.0428 0.940 0.738
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.9323 0.47790 0.348 0.652
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.7602 0.72167 0.220 0.780
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0000 0.95876 0.000 1.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.96837 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0000 0.96837 1.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.0000 0.96837 1.000 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.9248 0.47165 0.660 0.340
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.0000 0.95876 0.000 1.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.95876 0.000 1.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.96837 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.95876 0.000 1.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.9661 0.37091 0.392 0.608
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.95876 0.000 1.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.0376 0.96477 0.996 0.004
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.96837 1.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.96837 1.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0000 0.96837 1.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.95876 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 2 0.9710 0.36649 0.400 0.600
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.96837 1.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0000 0.95876 0.000 1.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.9358 0.44629 0.648 0.352
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.7745 0.71281 0.228 0.772
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.96837 1.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.95876 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.96837 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 1.0000 -0.00479 0.504 0.496
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.0000 0.95876 0.000 1.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0000 0.96837 1.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.95876 0.000 1.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.1414 0.94997 0.980 0.020
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.96837 1.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.96837 1.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 2 0.8813 0.59299 0.300 0.700
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.96837 1.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.0000 0.95876 0.000 1.000
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.4815 0.86229 0.896 0.104
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.96837 1.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.96837 1.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.96837 1.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.95876 0.000 1.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.95876 0.000 1.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.96837 1.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.96837 1.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.96837 1.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.96837 1.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.0376 0.95577 0.004 0.996
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.95876 0.000 1.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.95876 0.000 1.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.96837 1.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.95876 0.000 1.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.96837 1.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.95876 0.000 1.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.95876 0.000 1.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 2 0.0000 0.95876 0.000 1.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0000 0.95876 0.000 1.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.96837 1.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.96837 1.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.0000 0.96837 1.000 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.95876 0.000 1.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 1 0.0000 0.96837 1.000 0.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.96837 1.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.95876 0.000 1.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.0000 0.95876 0.000 1.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.95876 0.000 1.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 2 0.8955 0.57067 0.312 0.688
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 1 0.7219 0.73252 0.800 0.200
#> 164DD212-0839-4644-8FEE-E6A07A60803B 2 0.0000 0.95876 0.000 1.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.0000 0.96837 1.000 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 1 0.0000 0.96837 1.000 0.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.95876 0.000 1.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 2 0.6801 0.77759 0.180 0.820
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.0000 0.96837 1.000 0.000
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0000 0.96837 1.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.95876 0.000 1.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 2 0.0000 0.95876 0.000 1.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.95876 0.000 1.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.0000 0.96837 1.000 0.000
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0000 0.96837 1.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0000 0.96837 1.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 1 0.8661 0.59290 0.712 0.288
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.95876 0.000 1.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 2 0.9944 0.18289 0.456 0.544
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0000 0.96837 1.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 2 0.2778 0.91928 0.048 0.952
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0000 0.96837 1.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 2 0.0000 0.95876 0.000 1.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 1 0.8861 0.55144 0.696 0.304
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0000 0.96837 1.000 0.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.96837 1.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0000 0.95876 0.000 1.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 2 0.9170 0.52728 0.332 0.668
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 2 0.2236 0.93033 0.036 0.964
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.0000 0.96837 1.000 0.000
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.0000 0.96837 1.000 0.000
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.0000 0.96837 1.000 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.0000 0.96837 1.000 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.0000 0.95876 0.000 1.000
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.0000 0.96837 1.000 0.000
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0000 0.95876 0.000 1.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.0000 0.96837 1.000 0.000
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.0000 0.96837 1.000 0.000
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 2 0.0000 0.95876 0.000 1.000
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 2 0.5737 0.82971 0.136 0.864
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 0.95876 0.000 1.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 2 0.8443 0.64472 0.272 0.728
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 2 0.0000 0.95876 0.000 1.000
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 2 0.5059 0.85770 0.112 0.888
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#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 2 0.0376 0.95577 0.004 0.996
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#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 2 0.5059 0.85602 0.112 0.888
#> 14003AA2-81B6-4143-98AD-124903BAE56B 1 0.0000 0.96837 1.000 0.000
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.0000 0.96837 1.000 0.000
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0000 0.95876 0.000 1.000
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.0000 0.95876 0.000 1.000
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.0000 0.95876 0.000 1.000
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 2 0.0000 0.95876 0.000 1.000
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 2 0.0000 0.95876 0.000 1.000
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.0000 0.96837 1.000 0.000
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0000 0.96837 1.000 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 2 0.0000 0.95876 0.000 1.000
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 2 0.0000 0.95876 0.000 1.000
#> 420503AA-3799-4816-BEEC-0B4D05988D38 2 0.0000 0.95876 0.000 1.000
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0000 0.96837 1.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.96837 1.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.0000 0.95876 0.000 1.000
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0000 0.96837 1.000 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0000 0.96837 1.000 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.0000 0.95876 0.000 1.000
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 1 0.0000 0.96837 1.000 0.000
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.0000 0.95876 0.000 1.000
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.95876 0.000 1.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.95876 0.000 1.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.0000 0.96837 1.000 0.000
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.0000 0.95876 0.000 1.000
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.0000 0.95876 0.000 1.000
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0000 0.95876 0.000 1.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 2 0.0000 0.95876 0.000 1.000
#> B822A426-98C1-4976-9FC2-16347992AD78 2 0.9323 0.49504 0.348 0.652
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.95876 0.000 1.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0000 0.96837 1.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.95876 0.000 1.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 2 0.0000 0.95876 0.000 1.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.0000 0.95876 0.000 1.000
#> E9894334-C852-4159-9FEB-40292B160CC1 2 0.0000 0.95876 0.000 1.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.9323 0.49530 0.348 0.652
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.0000 0.96837 1.000 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.0000 0.95876 0.000 1.000
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.0000 0.96837 1.000 0.000
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0000 0.95876 0.000 1.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 1 0.7139 0.74371 0.804 0.196
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 2 0.0000 0.95876 0.000 1.000
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 2 0.8327 0.65580 0.264 0.736
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.95876 0.000 1.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.0000 0.96837 1.000 0.000
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.5737 0.82332 0.864 0.136
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.7602 0.72156 0.220 0.780
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.96837 1.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.0000 0.96837 1.000 0.000
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.0000 0.96837 1.000 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.96837 1.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.0000 0.96837 1.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 2 0.7950 0.69274 0.240 0.760
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.0000 0.95876 0.000 1.000
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.96837 1.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.96837 1.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.95876 0.000 1.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.96837 1.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.95876 0.000 1.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.96837 1.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0000 0.96837 1.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0000 0.96837 1.000 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 1 0.7745 0.69588 0.772 0.228
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.0000 0.95876 0.000 1.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.95876 0.000 1.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0000 0.96837 1.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.95876 0.000 1.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.0672 0.96115 0.992 0.008
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.95876 0.000 1.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 2 0.0000 0.95876 0.000 1.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.95876 0.000 1.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 2 0.0376 0.95577 0.004 0.996
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 2 0.8016 0.68643 0.244 0.756
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.95876 0.000 1.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0000 0.95876 0.000 1.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 2 0.9635 0.39550 0.388 0.612
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.95876 0.000 1.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.96837 1.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.0000 0.95876 0.000 1.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.96837 1.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.96837 1.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.96837 1.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.95876 0.000 1.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 2 0.8207 0.66707 0.256 0.744
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.95876 0.000 1.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.96837 1.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.9795 0.27172 0.584 0.416
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 0.95876 0.000 1.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0000 0.95876 0.000 1.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0000 0.95876 0.000 1.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.0000 0.95876 0.000 1.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0000 0.96837 1.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.96837 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.96837 1.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.96837 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.95876 0.000 1.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.96837 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.95876 0.000 1.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.96837 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.95876 0.000 1.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0000 0.95876 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.96837 1.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.96837 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.0000 0.95876 0.000 1.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.96837 1.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.95876 0.000 1.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.96837 1.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.0000 0.95876 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.96837 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0000 0.96837 1.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0000 0.96837 1.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.96837 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.0000 0.95876 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.0000 0.95876 0.000 1.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.96837 1.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.95876 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.96837 1.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.95876 0.000 1.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.95876 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.0000 0.95876 0.000 1.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.95876 0.000 1.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.0000 0.95876 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.96837 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.96837 1.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.96837 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.95876 0.000 1.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.9775 0.27918 0.588 0.412
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.95876 0.000 1.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.96837 1.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.96837 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.95876 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.2689 0.8130 0.032 0.932 0.036
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.4068 0.7352 0.120 0.016 0.864
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.6267 0.1945 0.000 0.548 0.452
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.9319 1.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.4178 0.8130 0.828 0.000 0.172
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.6267 0.0713 0.452 0.000 0.548
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.1482 0.7933 0.020 0.012 0.968
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.1643 0.7959 0.000 0.044 0.956
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.8639 0.000 1.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.9319 1.000 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.8639 0.000 1.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.9355 0.2303 0.492 0.320 0.188
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.3340 0.7742 0.000 0.880 0.120
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.6905 0.1105 0.440 0.016 0.544
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9319 1.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.3412 0.8626 0.876 0.000 0.124
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.1529 0.9268 0.960 0.000 0.040
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.8639 0.000 1.000 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.4663 0.7061 0.156 0.016 0.828
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.9319 1.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.6225 0.2634 0.000 0.568 0.432
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.6543 0.4003 0.344 0.016 0.640
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0747 0.7987 0.000 0.016 0.984
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.1529 0.9268 0.960 0.000 0.040
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.3551 0.7737 0.000 0.868 0.132
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9319 1.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.8758 0.4353 0.588 0.220 0.192
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.6244 0.2824 0.000 0.560 0.440
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.6192 0.3681 0.580 0.000 0.420
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.4504 0.6750 0.000 0.804 0.196
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.6468 0.1365 0.444 0.004 0.552
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.1529 0.9268 0.960 0.000 0.040
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.1529 0.9268 0.960 0.000 0.040
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.0747 0.7987 0.000 0.016 0.984
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9319 1.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.1860 0.7932 0.000 0.052 0.948
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.6224 0.6066 0.688 0.016 0.296
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.3340 0.8664 0.880 0.000 0.120
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.9319 1.000 0.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.1529 0.9268 0.960 0.000 0.040
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.8639 0.000 1.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.8639 0.000 1.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.9319 1.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.9319 1.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.9319 1.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.1529 0.9268 0.960 0.000 0.040
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0747 0.7987 0.000 0.016 0.984
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.8639 0.000 1.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.4974 0.6243 0.000 0.764 0.236
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.9319 1.000 0.000 0.000
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#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.8639 0.000 1.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.6192 0.2298 0.000 0.420 0.580
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.1529 0.9268 0.960 0.000 0.040
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.9319 1.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.1964 0.7915 0.000 0.056 0.944
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.9319 1.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.8639 0.000 1.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.9319 1.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.1529 0.7889 0.000 0.040 0.960
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.9319 1.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0000 0.9319 1.000 0.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.1529 0.9268 0.960 0.000 0.040
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9319 1.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0747 0.7987 0.000 0.016 0.984
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.4235 0.6748 0.000 0.176 0.824
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.9319 1.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0237 0.8615 0.000 0.996 0.004
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.1529 0.9268 0.960 0.000 0.040
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.8639 0.000 1.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0424 0.8591 0.000 0.992 0.008
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 3 0.6309 -0.0689 0.000 0.496 0.504
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.6252 0.2407 0.000 0.556 0.444
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0747 0.7987 0.000 0.016 0.984
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.1529 0.9268 0.960 0.000 0.040
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.9319 1.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.1529 0.9268 0.960 0.000 0.040
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.6286 0.1274 0.000 0.536 0.464
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.3610 0.7512 0.096 0.016 0.888
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.8639 0.000 1.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.4235 0.8079 0.824 0.000 0.176
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.1529 0.9268 0.960 0.000 0.040
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.2066 0.8222 0.000 0.940 0.060
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0927 0.90383 0.016 0.976 0.000 0.008
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.4922 0.70294 0.012 0.004 0.700 0.284
#> B5567E00-32AA-48D8-8087-1088C22B0994 4 0.7512 0.55571 0.000 0.236 0.268 0.496
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.1792 0.79926 0.932 0.000 0.000 0.068
#> 0797DC35-6243-451D-9653-9649D390C0F4 3 0.6465 0.59829 0.080 0.000 0.556 0.364
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.5331 0.67379 0.024 0.000 0.644 0.332
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.4250 0.70735 0.000 0.000 0.724 0.276
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.0592 0.60954 0.000 0.000 0.984 0.016
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.2469 0.84540 0.000 0.892 0.000 0.108
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.2868 0.78954 0.864 0.000 0.000 0.136
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.91611 0.000 1.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.6064 -0.02340 0.240 0.068 0.012 0.680
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.6672 0.05431 0.000 0.504 0.088 0.408
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.5286 0.67964 0.016 0.004 0.652 0.328
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.7905 -0.25639 0.332 0.000 0.304 0.364
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.5112 0.67741 0.608 0.000 0.008 0.384
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.1716 0.88092 0.000 0.936 0.000 0.064
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.4770 0.70234 0.012 0.000 0.700 0.288
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 3 0.7187 0.41819 0.000 0.136 0.440 0.424
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.4988 0.69867 0.020 0.000 0.692 0.288
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.3610 0.69717 0.000 0.000 0.800 0.200
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.4978 0.68064 0.612 0.000 0.004 0.384
#> E773014C-98DE-4394-95F9-845E29F35A2B 4 0.6436 0.44206 0.000 0.292 0.100 0.608
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.8190 -0.46240 0.100 0.064 0.412 0.424
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.3525 0.27538 0.000 0.100 0.040 0.860
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.6098 0.65556 0.124 0.000 0.676 0.200
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.4883 0.50081 0.000 0.696 0.288 0.016
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.5630 0.65055 0.032 0.000 0.608 0.360
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.4746 0.69644 0.632 0.000 0.000 0.368
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.4991 0.67793 0.608 0.000 0.004 0.388
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.4193 0.70790 0.000 0.000 0.732 0.268
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.0921 0.58418 0.000 0.000 0.972 0.028
#> 333F9855-9462-46B8-87C8-E9B01572C101 3 0.6092 0.64323 0.028 0.016 0.592 0.364
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.7488 0.35233 0.436 0.000 0.180 0.384
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.3123 0.78510 0.844 0.000 0.000 0.156
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.4776 0.69042 0.624 0.000 0.000 0.376
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0469 0.91328 0.000 0.988 0.000 0.012
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0336 0.91451 0.000 0.992 0.000 0.008
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0188 0.80595 0.996 0.000 0.000 0.004
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.5125 0.67407 0.604 0.000 0.008 0.388
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.1211 0.62735 0.000 0.000 0.960 0.040
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.91611 0.000 1.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.3107 0.83549 0.000 0.884 0.036 0.080
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.2216 0.79635 0.908 0.000 0.000 0.092
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0188 0.91517 0.000 0.996 0.000 0.004
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.1474 0.80419 0.948 0.000 0.000 0.052
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.1716 0.88092 0.000 0.936 0.000 0.064
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.4328 0.60990 0.000 0.748 0.244 0.008
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.3801 0.22409 0.000 0.000 0.780 0.220
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.1637 0.87068 0.000 0.940 0.000 0.060
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.4462 0.69061 0.164 0.792 0.000 0.044
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.91611 0.000 1.000 0.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.1637 0.63883 0.000 0.000 0.940 0.060
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.4103 0.65067 0.000 0.744 0.000 0.256
#> D6654189-0570-4603-8C92-3032F2CF7EF3 4 0.6617 0.63471 0.000 0.128 0.264 0.608
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0469 0.91328 0.000 0.988 0.000 0.012
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0336 0.59276 0.000 0.000 0.992 0.008
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.2048 0.85644 0.064 0.928 0.000 0.008
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0336 0.59276 0.000 0.000 0.992 0.008
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.7912 0.42152 0.424 0.208 0.008 0.360
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.6722 -0.39680 0.392 0.064 0.012 0.532
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0469 0.91328 0.000 0.988 0.000 0.012
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.0469 0.60911 0.000 0.000 0.988 0.012
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.4560 0.70003 0.004 0.000 0.700 0.296
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.4817 0.68146 0.612 0.000 0.000 0.388
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.91611 0.000 1.000 0.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.4746 -0.20299 0.000 0.000 0.632 0.368
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0336 0.91353 0.000 0.992 0.000 0.008
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.6781 -0.46427 0.428 0.064 0.012 0.496
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.4746 0.69644 0.632 0.000 0.000 0.368
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.4643 0.70942 0.656 0.000 0.000 0.344
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.0817 0.90355 0.000 0.976 0.000 0.024
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.1716 0.88092 0.000 0.936 0.000 0.064
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.5971 -0.48927 0.040 0.000 0.428 0.532
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.2530 0.79345 0.888 0.000 0.000 0.112
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0000 0.59973 0.000 0.000 1.000 0.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.0469 0.58837 0.000 0.000 0.988 0.012
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.6003 -0.52537 0.040 0.000 0.456 0.504
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.2593 0.75644 0.904 0.000 0.080 0.016
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0469 0.91328 0.000 0.988 0.000 0.012
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 3 0.4635 0.70718 0.012 0.000 0.720 0.268
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 3 0.5408 0.56322 0.012 0.000 0.500 0.488
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.3681 0.77565 0.816 0.000 0.008 0.176
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 3 0.6337 0.61116 0.072 0.000 0.568 0.360
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.3486 0.77480 0.812 0.000 0.000 0.188
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.2647 0.79019 0.880 0.000 0.000 0.120
#> 7465251E-7BC8-4179-8950-4E41836CF36B 4 0.6790 0.59628 0.000 0.192 0.200 0.608
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.6709 0.53164 0.616 0.000 0.212 0.172
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0707 0.91087 0.000 0.980 0.000 0.020
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.6212 0.63407 0.560 0.060 0.000 0.380
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.3032 0.68921 0.868 0.124 0.000 0.008
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 4 0.5650 0.54730 0.000 0.024 0.432 0.544
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 3 0.2921 0.67655 0.000 0.000 0.860 0.140
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0188 0.91517 0.000 0.996 0.000 0.004
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 3 0.5349 0.65747 0.012 0.004 0.616 0.368
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.1867 0.51306 0.000 0.000 0.928 0.072
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 3 0.3873 0.70333 0.000 0.000 0.772 0.228
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.0188 0.80640 0.996 0.000 0.000 0.004
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.0336 0.59276 0.000 0.000 0.992 0.008
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.5112 0.67717 0.608 0.000 0.008 0.384
#> B54317C9-8704-42A6-BE96-E12855874596 3 0.0895 0.58443 0.000 0.004 0.976 0.020
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.0592 0.79791 0.984 0.000 0.016 0.000
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0188 0.91517 0.000 0.996 0.000 0.004
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.0336 0.80631 0.992 0.000 0.000 0.008
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 3 0.4737 0.70076 0.004 0.004 0.696 0.296
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 1 0.2814 0.79095 0.868 0.000 0.000 0.132
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.1474 0.87796 0.000 0.948 0.000 0.052
#> A6177818-114B-437B-9928-A6747A788109 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> E7064800-48FD-492A-A074-84A0B2452445 3 0.2868 0.67521 0.000 0.000 0.864 0.136
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.1716 0.88092 0.000 0.936 0.000 0.064
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.0469 0.91328 0.000 0.988 0.000 0.012
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.4250 0.06916 0.000 0.000 0.724 0.276
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 4 0.7717 -0.37863 0.224 0.000 0.388 0.388
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 1 0.2760 0.79143 0.872 0.000 0.000 0.128
#> EB235E9A-E453-4108-AD4F-31260F4340A6 3 0.5130 0.68006 0.016 0.000 0.652 0.332
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 1 0.4920 0.68967 0.628 0.000 0.004 0.368
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 3 0.4193 0.70790 0.000 0.000 0.732 0.268
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#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 1 0.0336 0.80553 0.992 0.000 0.000 0.008
#> 99D8A9E2-773C-4142-9A93-5F749961F712 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 3 0.0469 0.60911 0.000 0.000 0.988 0.012
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 4 0.7774 -0.35927 0.240 0.000 0.372 0.388
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 3 0.4193 0.12946 0.000 0.000 0.732 0.268
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 3 0.6396 0.60666 0.076 0.000 0.564 0.360
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 2 0.5072 0.63464 0.000 0.740 0.052 0.208
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 2 0.1362 0.89593 0.004 0.964 0.020 0.012
#> 14003AA2-81B6-4143-98AD-124903BAE56B 1 0.4746 0.69644 0.632 0.000 0.000 0.368
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0188 0.91517 0.000 0.996 0.000 0.004
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.0336 0.91353 0.000 0.992 0.000 0.008
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.2530 0.83828 0.000 0.888 0.000 0.112
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 3 0.5471 0.67881 0.000 0.048 0.684 0.268
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 3 0.4855 0.70489 0.000 0.020 0.712 0.268
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.4382 0.72750 0.704 0.000 0.000 0.296
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 4 0.6261 0.63030 0.000 0.080 0.312 0.608
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 4 0.5626 0.58684 0.000 0.028 0.384 0.588
#> 420503AA-3799-4816-BEEC-0B4D05988D38 4 0.6821 0.62916 0.000 0.152 0.256 0.592
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.1022 0.90207 0.000 0.968 0.000 0.032
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.1302 0.80394 0.956 0.000 0.000 0.044
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0707 0.80463 0.980 0.000 0.000 0.020
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 4 0.6757 0.59339 0.000 0.192 0.196 0.612
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 1 0.6576 0.62206 0.548 0.056 0.012 0.384
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 4 0.6656 0.63351 0.000 0.136 0.256 0.608
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.91611 0.000 1.000 0.000 0.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.91611 0.000 1.000 0.000 0.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 3 0.6983 0.54789 0.124 0.000 0.516 0.360
#> B232056E-59B2-4D05-983D-8740D6994A71 4 0.6790 0.59628 0.000 0.192 0.200 0.608
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 4 0.6637 0.63447 0.000 0.132 0.260 0.608
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0000 0.91611 0.000 1.000 0.000 0.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 4 0.6221 0.62872 0.000 0.076 0.316 0.608
#> B822A426-98C1-4976-9FC2-16347992AD78 3 0.4277 0.70677 0.000 0.000 0.720 0.280
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.91611 0.000 1.000 0.000 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0469 0.91328 0.000 0.988 0.000 0.012
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.0336 0.59276 0.000 0.000 0.992 0.008
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.1716 0.88092 0.000 0.936 0.000 0.064
#> E9894334-C852-4159-9FEB-40292B160CC1 4 0.6694 0.58107 0.000 0.092 0.392 0.516
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.1970 0.86075 0.060 0.932 0.000 0.008
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.5883 0.63502 0.572 0.000 0.040 0.388
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.1557 0.87313 0.000 0.944 0.000 0.056
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.7475 0.13465 0.192 0.476 0.000 0.332
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0336 0.91451 0.000 0.992 0.000 0.008
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.7985 -0.00512 0.016 0.464 0.196 0.324
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 4 0.6261 0.63030 0.000 0.080 0.312 0.608
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.4193 0.70790 0.000 0.000 0.732 0.268
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0336 0.91424 0.000 0.992 0.000 0.008
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.7243 0.60090 0.548 0.056 0.048 0.348
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 3 0.5473 0.67644 0.032 0.000 0.644 0.324
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 3 0.4635 0.70718 0.012 0.000 0.720 0.268
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.4746 0.69644 0.632 0.000 0.000 0.368
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 3 0.6310 0.61830 0.072 0.000 0.576 0.352
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.1211 0.78390 0.960 0.000 0.040 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.4746 0.69644 0.632 0.000 0.000 0.368
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.3610 0.76473 0.800 0.000 0.000 0.200
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 3 0.4372 0.70795 0.004 0.000 0.728 0.268
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.2714 0.81954 0.000 0.884 0.112 0.004
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.4713 0.70009 0.640 0.000 0.000 0.360
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.91611 0.000 1.000 0.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.2149 0.79969 0.912 0.000 0.000 0.088
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0188 0.91486 0.000 0.996 0.000 0.004
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.2530 0.73697 0.896 0.000 0.100 0.004
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.6495 0.59686 0.560 0.000 0.084 0.356
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.4331 0.46862 0.712 0.000 0.288 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.7486 0.14939 0.080 0.492 0.036 0.392
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.1174 0.90004 0.000 0.968 0.020 0.012
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0469 0.91328 0.000 0.988 0.000 0.012
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 3 0.6369 0.61410 0.076 0.000 0.572 0.352
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.1716 0.88092 0.000 0.936 0.000 0.064
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 3 0.7700 0.45486 0.152 0.012 0.440 0.396
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.91611 0.000 1.000 0.000 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.4746 -0.20263 0.000 0.000 0.632 0.368
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0188 0.91551 0.000 0.996 0.000 0.004
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.4193 0.70790 0.000 0.000 0.732 0.268
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 3 0.4776 0.70568 0.016 0.000 0.712 0.272
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0592 0.90909 0.000 0.984 0.000 0.016
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 3 0.6883 0.47923 0.000 0.212 0.596 0.192
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.3837 0.70316 0.000 0.000 0.776 0.224
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0707 0.90390 0.000 0.980 0.020 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0188 0.80648 0.996 0.000 0.000 0.004
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.3486 0.29947 0.000 0.000 0.812 0.188
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.2281 0.79525 0.904 0.000 0.000 0.096
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.4222 0.73918 0.728 0.000 0.000 0.272
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.2345 0.84996 0.000 0.900 0.000 0.100
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.5194 0.68158 0.012 0.004 0.652 0.332
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.1004 0.89929 0.000 0.972 0.024 0.004
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.2647 0.66841 0.000 0.000 0.880 0.120
#> 5663C145-B465-4509-BA9A-1A40584952BD 4 0.6637 0.63447 0.000 0.132 0.260 0.608
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 4 0.6637 0.63447 0.000 0.132 0.260 0.608
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 4 0.6637 0.63447 0.000 0.132 0.260 0.608
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 4 0.5650 0.54730 0.000 0.024 0.432 0.544
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.6566 0.62556 0.552 0.056 0.012 0.380
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.4761 0.69210 0.628 0.000 0.000 0.372
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.4746 0.69402 0.632 0.000 0.000 0.368
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.5112 0.67717 0.608 0.000 0.008 0.384
#> D316C207-8020-47A7-8C2D-753CF42223B5 4 0.6548 0.63448 0.000 0.116 0.276 0.608
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 4 0.6686 0.26078 0.000 0.388 0.092 0.520
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.91611 0.000 1.000 0.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 4 0.6261 0.63030 0.000 0.080 0.312 0.608
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.2921 0.78218 0.860 0.000 0.000 0.140
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.1022 0.56633 0.000 0.000 0.968 0.032
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0469 0.91328 0.000 0.988 0.000 0.012
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 4 0.4994 0.48385 0.000 0.000 0.480 0.520
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0188 0.80442 0.996 0.000 0.000 0.004
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.6388 0.64287 0.576 0.056 0.008 0.360
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0336 0.59707 0.000 0.000 0.992 0.008
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 4 0.5650 0.54730 0.000 0.024 0.432 0.544
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 4 0.5406 -0.03040 0.000 0.480 0.012 0.508
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.6586 0.58246 0.544 0.000 0.088 0.368
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.91611 0.000 1.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.4431 0.57388 0.000 0.696 0.000 0.304
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.4728 0.55810 0.000 0.032 0.216 0.752
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 4 0.6790 0.59628 0.000 0.192 0.200 0.608
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.59973 0.000 0.000 1.000 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.4746 0.69644 0.632 0.000 0.000 0.368
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.80635 1.000 0.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.4746 0.69644 0.632 0.000 0.000 0.368
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 3 0.6153 0.30013 0.000 0.328 0.604 0.068
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.4222 0.70784 0.000 0.000 0.728 0.272
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.91611 0.000 1.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 3 0.7732 0.35349 0.228 0.000 0.388 0.384
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.4978 0.68064 0.612 0.000 0.004 0.384
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0657 0.90974 0.000 0.984 0.004 0.012
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.1914 0.8634 0.000 0.928 0.008 0.056 0.008
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.3266 0.7980 0.000 0.004 0.796 0.200 0.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.2669 0.7859 0.000 0.104 0.020 0.000 0.876
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.3231 0.6655 0.800 0.000 0.000 0.196 0.004
#> 0797DC35-6243-451D-9653-9649D390C0F4 3 0.4974 0.2537 0.028 0.000 0.508 0.464 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.3461 0.7837 0.004 0.000 0.772 0.224 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.3177 0.7976 0.000 0.000 0.792 0.208 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.1041 0.8057 0.000 0.000 0.964 0.032 0.004
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.3932 0.5998 0.000 0.672 0.000 0.000 0.328
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.4397 0.4850 0.432 0.000 0.000 0.564 0.004
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0451 0.8835 0.000 0.988 0.000 0.008 0.004
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.2517 0.6639 0.000 0.004 0.008 0.884 0.104
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.3305 0.6355 0.000 0.224 0.000 0.000 0.776
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.3398 0.7862 0.000 0.004 0.780 0.216 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.8907 1.000 0.000 0.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.4528 0.6954 0.080 0.000 0.160 0.756 0.004
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.3967 0.7753 0.200 0.000 0.008 0.772 0.020
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.3684 0.6725 0.000 0.720 0.000 0.000 0.280
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.3231 0.8006 0.000 0.004 0.800 0.196 0.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.8907 1.000 0.000 0.000 0.000 0.000
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#> 10105BB3-3534-4B7F-8CDB-9702945C414A 5 0.2490 0.8505 0.000 0.004 0.020 0.080 0.896
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0703 0.8812 0.000 0.976 0.000 0.000 0.024
#> 000F8487-E841-4370-B958-85AB3A6D88F9 5 0.2236 0.8495 0.000 0.000 0.024 0.068 0.908
#> B822A426-98C1-4976-9FC2-16347992AD78 3 0.3177 0.7966 0.000 0.000 0.792 0.208 0.000
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0671 0.8829 0.000 0.980 0.000 0.016 0.004
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0000 0.8907 1.000 0.000 0.000 0.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.1648 0.8755 0.000 0.940 0.000 0.040 0.020
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.0703 0.7864 0.000 0.000 0.976 0.000 0.024
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.3684 0.6725 0.000 0.720 0.000 0.000 0.280
#> E9894334-C852-4159-9FEB-40292B160CC1 5 0.4482 0.7177 0.000 0.032 0.252 0.004 0.712
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.1770 0.8683 0.008 0.936 0.008 0.048 0.000
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.3527 0.7844 0.172 0.000 0.024 0.804 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.3431 0.7897 0.000 0.828 0.008 0.144 0.020
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.5709 0.1153 0.036 0.496 0.008 0.448 0.012
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.1544 0.8670 0.000 0.932 0.000 0.000 0.068
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.6552 0.1584 0.000 0.476 0.248 0.276 0.000
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 5 0.0703 0.8441 0.000 0.000 0.024 0.000 0.976
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.2806 0.8152 0.000 0.000 0.844 0.152 0.004
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.1697 0.8718 0.000 0.932 0.008 0.000 0.060
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 4 0.6833 0.2836 0.396 0.016 0.148 0.436 0.004
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 3 0.3550 0.7716 0.004 0.000 0.760 0.236 0.000
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 3 0.3196 0.8012 0.000 0.004 0.804 0.192 0.000
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.3534 0.7659 0.256 0.000 0.000 0.744 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 3 0.3579 0.7674 0.004 0.000 0.756 0.240 0.000
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.2193 0.8140 0.912 0.000 0.028 0.060 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 4 0.3635 0.7692 0.248 0.000 0.000 0.748 0.004
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.4517 -0.1843 0.556 0.000 0.008 0.436 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 3 0.3160 0.8031 0.000 0.004 0.808 0.188 0.000
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.2157 0.8651 0.000 0.920 0.036 0.040 0.004
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.8907 1.000 0.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 4 0.3684 0.7487 0.280 0.000 0.000 0.720 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0162 0.8832 0.000 0.996 0.000 0.000 0.004
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.4294 -0.2437 0.532 0.000 0.000 0.468 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.1673 0.8821 0.000 0.944 0.008 0.016 0.032
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.3849 0.6946 0.808 0.004 0.136 0.052 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 4 0.4843 0.7196 0.276 0.004 0.044 0.676 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.3878 0.6139 0.748 0.000 0.236 0.016 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.3414 0.6866 0.000 0.116 0.020 0.844 0.020
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.1800 0.8661 0.000 0.932 0.020 0.048 0.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.1544 0.8670 0.000 0.932 0.000 0.000 0.068
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 3 0.3676 0.7736 0.004 0.000 0.760 0.232 0.004
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.3707 0.6672 0.000 0.716 0.000 0.000 0.284
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.3570 0.7165 0.044 0.004 0.124 0.828 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0609 0.8818 0.000 0.980 0.000 0.000 0.020
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 5 0.4449 0.2990 0.000 0.000 0.484 0.004 0.512
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0771 0.8825 0.000 0.976 0.000 0.004 0.020
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.3196 0.8012 0.000 0.004 0.804 0.192 0.000
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 3 0.3196 0.8012 0.000 0.004 0.804 0.192 0.000
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.2952 0.8231 0.000 0.868 0.008 0.104 0.020
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 3 0.5121 0.6041 0.000 0.044 0.692 0.024 0.240
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.1502 0.8115 0.000 0.000 0.940 0.056 0.004
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.1041 0.8782 0.000 0.964 0.004 0.032 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0510 0.8814 0.984 0.000 0.000 0.016 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.3398 0.5534 0.000 0.000 0.780 0.004 0.216
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.3969 0.4065 0.692 0.000 0.000 0.304 0.004
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.8907 1.000 0.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.4227 0.5625 0.420 0.000 0.000 0.580 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.3774 0.6502 0.000 0.704 0.000 0.000 0.296
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.3521 0.7805 0.000 0.004 0.764 0.232 0.000
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.1124 0.8769 0.000 0.960 0.004 0.036 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.8907 1.000 0.000 0.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.1597 0.8098 0.000 0.000 0.940 0.048 0.012
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.2608 0.8497 0.000 0.004 0.020 0.088 0.888
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.2608 0.8497 0.000 0.004 0.020 0.088 0.888
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.2608 0.8497 0.000 0.004 0.020 0.088 0.888
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 5 0.5053 0.7404 0.000 0.000 0.216 0.096 0.688
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.3987 0.7688 0.160 0.012 0.008 0.800 0.020
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.3612 0.7577 0.268 0.000 0.000 0.732 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.3796 0.7311 0.300 0.000 0.000 0.700 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.3456 0.7839 0.184 0.000 0.016 0.800 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.2490 0.8505 0.000 0.004 0.020 0.080 0.896
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.8907 1.000 0.000 0.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.2471 0.7542 0.000 0.136 0.000 0.000 0.864
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.8907 1.000 0.000 0.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0963 0.8787 0.000 0.964 0.000 0.000 0.036
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.1493 0.8356 0.000 0.028 0.024 0.000 0.948
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.2972 0.7557 0.864 0.004 0.024 0.108 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0162 0.8898 0.996 0.000 0.000 0.000 0.004
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0963 0.7788 0.000 0.000 0.964 0.000 0.036
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.8907 1.000 0.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0963 0.8787 0.000 0.964 0.000 0.000 0.036
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0162 0.8890 0.996 0.000 0.000 0.004 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 5 0.4276 0.5434 0.000 0.000 0.380 0.004 0.616
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0162 0.8898 0.996 0.000 0.000 0.000 0.004
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.2878 0.7672 0.880 0.068 0.004 0.048 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 4 0.5401 0.6300 0.276 0.048 0.008 0.656 0.012
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0162 0.8898 0.996 0.000 0.000 0.000 0.004
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.1106 0.7933 0.000 0.000 0.964 0.012 0.024
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 5 0.5053 0.7404 0.000 0.000 0.216 0.096 0.688
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.8907 1.000 0.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.3210 0.6537 0.000 0.212 0.000 0.000 0.788
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.4242 0.7794 0.208 0.004 0.036 0.752 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0609 0.8819 0.000 0.980 0.000 0.020 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.4235 0.4073 0.000 0.576 0.000 0.000 0.424
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.2674 0.8258 0.000 0.000 0.004 0.140 0.856
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.2854 0.8452 0.000 0.028 0.008 0.084 0.880
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0510 0.7911 0.000 0.000 0.984 0.000 0.016
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.3480 0.7698 0.248 0.000 0.000 0.752 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.8907 1.000 0.000 0.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.3534 0.7659 0.256 0.000 0.000 0.744 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 3 0.5612 0.4738 0.000 0.088 0.624 0.008 0.280
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.3160 0.8031 0.000 0.004 0.808 0.188 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.1043 0.8787 0.000 0.960 0.000 0.000 0.040
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.4021 0.6772 0.052 0.000 0.168 0.780 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.3395 0.7745 0.236 0.000 0.000 0.764 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.1251 0.8756 0.000 0.956 0.008 0.036 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.3398 0.69558 0.000 0.740 0.252 0.008 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 6 0.2509 0.74320 0.000 0.000 0.036 0.088 0.000 0.876
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.2673 0.55931 0.000 0.132 0.012 0.000 0.852 0.004
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.3318 0.70377 0.796 0.000 0.032 0.172 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 6 0.4763 0.20214 0.004 0.000 0.040 0.440 0.000 0.516
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 6 0.3023 0.71608 0.000 0.000 0.032 0.140 0.000 0.828
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 6 0.2001 0.74832 0.000 0.000 0.004 0.092 0.004 0.900
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 6 0.0291 0.74763 0.000 0.000 0.004 0.004 0.000 0.992
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.3989 0.23421 0.000 0.468 0.004 0.000 0.528 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.3023 0.68639 0.212 0.000 0.004 0.784 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0146 0.79507 0.000 0.996 0.004 0.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.5004 0.19088 0.000 0.000 0.388 0.544 0.064 0.004
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.3547 0.48232 0.000 0.332 0.000 0.000 0.668 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 6 0.3045 0.73223 0.000 0.000 0.060 0.100 0.000 0.840
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0603 0.89180 0.980 0.000 0.016 0.004 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.4701 0.50495 0.024 0.000 0.036 0.680 0.004 0.256
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.4319 0.62125 0.108 0.000 0.168 0.724 0.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.3995 0.20011 0.000 0.480 0.004 0.000 0.516 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 6 0.3221 0.72906 0.000 0.000 0.096 0.076 0.000 0.828
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.89592 1.000 0.000 0.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 6 0.7327 0.06071 0.000 0.016 0.304 0.080 0.192 0.408
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 6 0.3017 0.73565 0.000 0.000 0.072 0.084 0.000 0.844
#> C1323790-6C24-4E54-A266-AE66588C1DD5 6 0.0937 0.75161 0.000 0.000 0.000 0.040 0.000 0.960
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.2260 0.72158 0.140 0.000 0.000 0.860 0.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.1858 0.56698 0.000 0.092 0.004 0.000 0.904 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0146 0.89583 0.996 0.000 0.004 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.5497 0.23118 0.004 0.000 0.380 0.512 0.004 0.100
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.5757 -0.01429 0.000 0.000 0.404 0.444 0.148 0.004
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 6 0.2846 0.74104 0.000 0.000 0.060 0.084 0.000 0.856
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 6 0.7388 0.04518 0.000 0.324 0.192 0.044 0.044 0.396
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 6 0.3125 0.71658 0.000 0.000 0.032 0.136 0.004 0.828
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.2260 0.72158 0.140 0.000 0.000 0.860 0.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.2219 0.72161 0.136 0.000 0.000 0.864 0.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 6 0.1663 0.74980 0.000 0.000 0.000 0.088 0.000 0.912
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0146 0.89583 0.996 0.000 0.004 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 6 0.1679 0.74846 0.000 0.000 0.012 0.016 0.036 0.936
#> 333F9855-9462-46B8-87C8-E9B01572C101 6 0.3757 0.69599 0.000 0.000 0.084 0.136 0.000 0.780
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.4112 0.58406 0.028 0.000 0.028 0.748 0.000 0.196
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.2912 0.69041 0.216 0.000 0.000 0.784 0.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.2260 0.72158 0.140 0.000 0.000 0.860 0.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.2146 0.73130 0.000 0.880 0.004 0.000 0.116 0.000
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#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0363 0.79568 0.000 0.988 0.012 0.000 0.000 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.1918 0.83331 0.904 0.000 0.008 0.088 0.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.1010 0.78608 0.000 0.960 0.036 0.000 0.004 0.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 6 0.2926 0.69197 0.000 0.000 0.124 0.004 0.028 0.844
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 5 0.3995 0.20011 0.000 0.480 0.004 0.000 0.516 0.000
#> E9894334-C852-4159-9FEB-40292B160CC1 5 0.5421 0.02226 0.000 0.004 0.316 0.000 0.556 0.124
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.4146 0.68099 0.008 0.716 0.248 0.012 0.000 0.016
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.2507 0.69970 0.056 0.000 0.016 0.892 0.000 0.036
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.4646 0.35097 0.000 0.500 0.460 0.040 0.000 0.000
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.5759 0.32165 0.008 0.508 0.336 0.148 0.000 0.000
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.2092 0.72175 0.000 0.876 0.000 0.000 0.124 0.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 6 0.7112 0.08026 0.000 0.244 0.276 0.084 0.000 0.396
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 5 0.1728 0.53652 0.000 0.004 0.064 0.000 0.924 0.008
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 6 0.1461 0.75382 0.000 0.000 0.016 0.044 0.000 0.940
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.3625 0.70240 0.000 0.796 0.044 0.004 0.152 0.004
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 3 0.7940 0.08717 0.212 0.020 0.344 0.168 0.000 0.256
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 6 0.2706 0.73867 0.000 0.000 0.036 0.104 0.000 0.860
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 6 0.2009 0.75030 0.000 0.000 0.024 0.068 0.000 0.908
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.2260 0.72158 0.140 0.000 0.000 0.860 0.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 6 0.3283 0.69827 0.000 0.000 0.036 0.160 0.000 0.804
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.4833 0.65391 0.724 0.000 0.140 0.044 0.000 0.092
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 4 0.2431 0.72175 0.132 0.000 0.008 0.860 0.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.5257 0.08060 0.524 0.000 0.104 0.372 0.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 6 0.2066 0.74985 0.000 0.000 0.024 0.072 0.000 0.904
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.4091 0.68914 0.000 0.732 0.212 0.000 0.004 0.052
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.89592 1.000 0.000 0.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 4 0.2513 0.72134 0.140 0.000 0.008 0.852 0.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.79437 0.000 1.000 0.000 0.000 0.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.3383 0.65052 0.268 0.000 0.004 0.728 0.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.2655 0.77756 0.000 0.876 0.060 0.004 0.060 0.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.6211 0.36712 0.564 0.000 0.116 0.076 0.000 0.244
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 4 0.6208 0.40773 0.084 0.000 0.104 0.564 0.000 0.248
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.4978 0.50945 0.652 0.000 0.056 0.028 0.000 0.264
#> FAA38111-F046-4ACD-B787-764A17EAF548 3 0.5545 -0.05892 0.000 0.116 0.460 0.420 0.000 0.004
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.4500 0.66392 0.000 0.700 0.224 0.008 0.000 0.068
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.1910 0.73553 0.000 0.892 0.000 0.000 0.108 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 6 0.3207 0.72202 0.004 0.000 0.044 0.124 0.000 0.828
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.3993 0.21170 0.000 0.476 0.004 0.000 0.520 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.3974 0.58867 0.004 0.000 0.108 0.772 0.000 0.116
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0547 0.78969 0.000 0.980 0.000 0.000 0.020 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 6 0.6249 -0.09910 0.000 0.000 0.328 0.004 0.320 0.348
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.1075 0.79432 0.000 0.952 0.048 0.000 0.000 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 6 0.1843 0.75030 0.000 0.000 0.004 0.080 0.004 0.912
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 6 0.2857 0.74122 0.000 0.000 0.072 0.072 0.000 0.856
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.4322 0.51569 0.000 0.600 0.372 0.028 0.000 0.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 6 0.4867 0.47903 0.000 0.032 0.028 0.004 0.288 0.648
#> 8DBE419E-A360-4493-AC3B-C145887D9237 6 0.1682 0.74766 0.000 0.000 0.052 0.020 0.000 0.928
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.3273 0.75100 0.000 0.800 0.180 0.008 0.004 0.008
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.2946 0.73252 0.812 0.000 0.012 0.176 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 6 0.5586 0.35085 0.000 0.000 0.300 0.004 0.152 0.544
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 4 0.4091 0.23120 0.472 0.000 0.008 0.520 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.89592 1.000 0.000 0.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.3076 0.67882 0.240 0.000 0.000 0.760 0.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.3866 0.21462 0.000 0.484 0.000 0.000 0.516 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 6 0.4273 0.62333 0.000 0.000 0.204 0.080 0.000 0.716
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.3517 0.72907 0.000 0.772 0.204 0.012 0.000 0.012
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0858 0.88658 0.968 0.000 0.028 0.004 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 6 0.0858 0.74994 0.000 0.000 0.004 0.028 0.000 0.968
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.3601 0.49013 0.000 0.008 0.160 0.040 0.792 0.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.3637 0.48702 0.000 0.008 0.164 0.040 0.788 0.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.3637 0.48702 0.000 0.008 0.164 0.040 0.788 0.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.5660 0.16825 0.000 0.000 0.456 0.036 0.444 0.064
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.4736 0.38881 0.060 0.000 0.352 0.588 0.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.2260 0.72158 0.140 0.000 0.000 0.860 0.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.2869 0.71885 0.148 0.000 0.020 0.832 0.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.2537 0.70568 0.068 0.000 0.016 0.888 0.000 0.028
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.3352 0.49531 0.000 0.008 0.148 0.032 0.812 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0260 0.89486 0.992 0.000 0.008 0.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.2597 0.55368 0.000 0.176 0.000 0.000 0.824 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.2218 0.81888 0.884 0.000 0.012 0.104 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.1219 0.77807 0.000 0.948 0.004 0.000 0.048 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.1542 0.54966 0.000 0.016 0.016 0.000 0.944 0.024
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.5116 0.63404 0.712 0.000 0.096 0.092 0.000 0.100
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0260 0.89500 0.992 0.000 0.008 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 6 0.3718 0.64353 0.000 0.000 0.164 0.004 0.052 0.780
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.89592 1.000 0.000 0.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0713 0.78685 0.000 0.972 0.000 0.000 0.028 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0547 0.89037 0.980 0.000 0.000 0.020 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 5 0.6097 -0.14118 0.000 0.000 0.344 0.004 0.420 0.232
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0146 0.89583 0.996 0.000 0.004 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.4488 0.60210 0.716 0.048 0.216 0.016 0.000 0.004
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 3 0.7763 -0.05554 0.152 0.048 0.372 0.332 0.000 0.096
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0146 0.89583 0.996 0.000 0.004 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 6 0.1693 0.73312 0.000 0.000 0.044 0.004 0.020 0.932
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.5660 0.16825 0.000 0.000 0.456 0.036 0.444 0.064
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0260 0.89486 0.992 0.000 0.008 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.3446 0.51218 0.000 0.308 0.000 0.000 0.692 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.3665 0.70503 0.092 0.000 0.040 0.820 0.000 0.048
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.1327 0.79259 0.000 0.936 0.064 0.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.3899 0.36492 0.000 0.404 0.004 0.000 0.592 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.5115 0.25395 0.000 0.000 0.356 0.080 0.560 0.004
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.3585 0.50658 0.000 0.012 0.140 0.036 0.808 0.004
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 6 0.2034 0.72534 0.000 0.000 0.060 0.004 0.024 0.912
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.2219 0.72149 0.136 0.000 0.000 0.864 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0777 0.88826 0.972 0.000 0.024 0.000 0.000 0.004
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.2260 0.72158 0.140 0.000 0.000 0.860 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 6 0.5864 0.12869 0.000 0.096 0.012 0.012 0.404 0.476
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 6 0.1983 0.75046 0.000 0.000 0.020 0.072 0.000 0.908
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.1219 0.77885 0.000 0.948 0.004 0.000 0.048 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.3436 0.60580 0.012 0.000 0.020 0.796 0.000 0.172
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.2048 0.71984 0.120 0.000 0.000 0.880 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.3539 0.72270 0.000 0.768 0.208 0.008 0.000 0.016
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17416 rows and 433 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.943 0.946 0.978 0.5015 0.499 0.499
#> 3 3 0.877 0.891 0.954 0.3051 0.775 0.579
#> 4 4 0.729 0.691 0.829 0.1251 0.879 0.673
#> 5 5 0.869 0.834 0.928 0.0862 0.859 0.541
#> 6 6 0.815 0.691 0.806 0.0339 0.936 0.708
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.9358 0.455 0.352 0.648
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.0000 0.981 0.000 1.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0000 0.981 0.000 1.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.973 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0000 0.973 1.000 0.000
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#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.973 1.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.9087 0.535 0.676 0.324
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 0.981 0.000 1.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0000 0.981 0.000 1.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0000 0.981 0.000 1.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.0000 0.981 0.000 1.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0000 0.973 1.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.973 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.973 1.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.973 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.981 0.000 1.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.973 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.981 0.000 1.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.973 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.981 0.000 1.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0000 0.981 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.973 1.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.973 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.0000 0.981 0.000 1.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.973 1.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.981 0.000 1.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.973 1.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.0000 0.981 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.973 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0000 0.973 1.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0000 0.973 1.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.973 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.0000 0.981 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.0000 0.981 0.000 1.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.973 1.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.981 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.973 1.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.981 0.000 1.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.981 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.0000 0.981 0.000 1.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.981 0.000 1.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.0000 0.981 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.973 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.973 1.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.973 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.981 0.000 1.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.8713 0.591 0.708 0.292
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.981 0.000 1.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.973 1.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.973 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.981 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.97334 0.000 1.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.0000 0.89493 0.000 0.000 1.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.5678 0.49175 0.000 0.684 0.316
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.96645 1.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.2356 0.90405 0.928 0.000 0.072
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.4931 0.65365 0.232 0.000 0.768
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.0000 0.89493 0.000 0.000 1.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.0000 0.89493 0.000 0.000 1.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.97334 0.000 1.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.96645 1.000 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.97334 0.000 1.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.0747 0.95891 0.016 0.984 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0237 0.97105 0.000 0.996 0.004
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.3941 0.75909 0.156 0.000 0.844
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.96645 1.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.2165 0.91166 0.936 0.000 0.064
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0000 0.96645 1.000 0.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.97334 0.000 1.000 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.0000 0.89493 0.000 0.000 1.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.96645 1.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0747 0.96231 0.000 0.984 0.016
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.0747 0.88531 0.016 0.000 0.984
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0000 0.89493 0.000 0.000 1.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.96645 1.000 0.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0237 0.97105 0.000 0.996 0.004
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.96645 1.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.1163 0.94611 0.028 0.972 0.000
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.0237 0.97105 0.000 0.996 0.004
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.6307 -0.02640 0.488 0.000 0.512
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.97334 0.000 1.000 0.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.4796 0.67995 0.220 0.000 0.780
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.96645 1.000 0.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.96645 1.000 0.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.0000 0.89493 0.000 0.000 1.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.96645 1.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.0000 0.89493 0.000 0.000 1.000
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.6442 0.26145 0.564 0.004 0.432
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.2356 0.90414 0.928 0.000 0.072
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.96645 1.000 0.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.96645 1.000 0.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.97334 0.000 1.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.97334 0.000 1.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.96645 1.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.96645 1.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.96645 1.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.96645 1.000 0.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0000 0.89493 0.000 0.000 1.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.97334 0.000 1.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0237 0.97105 0.000 0.996 0.004
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.96645 1.000 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.97334 0.000 1.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.96645 1.000 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.97334 0.000 1.000 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.2959 0.86946 0.000 0.900 0.100
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.89493 0.000 0.000 1.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0000 0.97334 0.000 1.000 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.96645 1.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.96645 1.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.5138 0.66387 0.748 0.252 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.97334 0.000 1.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.0000 0.89493 0.000 0.000 1.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.96645 1.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.97334 0.000 1.000 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.1411 0.94565 0.000 0.964 0.036
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.97334 0.000 1.000 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0000 0.89493 0.000 0.000 1.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.4842 0.67682 0.224 0.776 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0000 0.89493 0.000 0.000 1.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.5621 0.55910 0.692 0.308 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 1 0.5678 0.54154 0.684 0.316 0.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.97334 0.000 1.000 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.0000 0.89493 0.000 0.000 1.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.1163 0.87704 0.028 0.000 0.972
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0000 0.96645 1.000 0.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.97334 0.000 1.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.89493 0.000 0.000 1.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.97334 0.000 1.000 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.5363 0.61880 0.724 0.276 0.000
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0000 0.96645 1.000 0.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0000 0.96645 1.000 0.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.0000 0.97334 0.000 1.000 0.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.97334 0.000 1.000 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 3 0.5785 0.47681 0.332 0.000 0.668
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0000 0.96645 1.000 0.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0000 0.89493 0.000 0.000 1.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0000 0.96645 1.000 0.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.0000 0.89493 0.000 0.000 1.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 3 0.4974 0.65737 0.236 0.000 0.764
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0000 0.96645 1.000 0.000 0.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.96645 1.000 0.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0000 0.97334 0.000 1.000 0.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 3 0.0000 0.89493 0.000 0.000 1.000
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 3 0.0000 0.89493 0.000 0.000 1.000
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.0000 0.96645 1.000 0.000 0.000
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.4974 0.70455 0.764 0.000 0.236
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.0000 0.96645 1.000 0.000 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.0000 0.96645 1.000 0.000 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.0747 0.96231 0.000 0.984 0.016
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.4235 0.78934 0.824 0.000 0.176
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0000 0.97334 0.000 1.000 0.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.0000 0.96645 1.000 0.000 0.000
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.1643 0.92608 0.956 0.044 0.000
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.4504 0.72817 0.000 0.196 0.804
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 3 0.0000 0.89493 0.000 0.000 1.000
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 0.97334 0.000 1.000 0.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 3 0.0000 0.89493 0.000 0.000 1.000
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.0000 0.89493 0.000 0.000 1.000
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 3 0.0000 0.89493 0.000 0.000 1.000
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.0000 0.96645 1.000 0.000 0.000
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0000 0.96645 1.000 0.000 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.0000 0.89493 0.000 0.000 1.000
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.0000 0.96645 1.000 0.000 0.000
#> B54317C9-8704-42A6-BE96-E12855874596 3 0.4605 0.71851 0.000 0.204 0.796
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.0000 0.96645 1.000 0.000 0.000
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0000 0.97334 0.000 1.000 0.000
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.0000 0.96645 1.000 0.000 0.000
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 3 0.0000 0.89493 0.000 0.000 1.000
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 1 0.0000 0.96645 1.000 0.000 0.000
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.0000 0.97334 0.000 1.000 0.000
#> A6177818-114B-437B-9928-A6747A788109 1 0.0000 0.96645 1.000 0.000 0.000
#> E7064800-48FD-492A-A074-84A0B2452445 3 0.0000 0.89493 0.000 0.000 1.000
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.0000 0.97334 0.000 1.000 0.000
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0000 0.96645 1.000 0.000 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.0000 0.97334 0.000 1.000 0.000
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.0000 0.89493 0.000 0.000 1.000
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 1 0.0000 0.96645 1.000 0.000 0.000
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 1 0.0000 0.96645 1.000 0.000 0.000
#> EB235E9A-E453-4108-AD4F-31260F4340A6 3 0.0592 0.88781 0.012 0.000 0.988
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 1 0.0000 0.96645 1.000 0.000 0.000
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 3 0.0000 0.89493 0.000 0.000 1.000
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.0000 0.96645 1.000 0.000 0.000
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#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 3 0.0237 0.89294 0.000 0.004 0.996
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.0000 0.96645 1.000 0.000 0.000
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0000 0.96645 1.000 0.000 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 3 0.6307 0.13578 0.000 0.488 0.512
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.4605 0.71851 0.000 0.204 0.796
#> 420503AA-3799-4816-BEEC-0B4D05988D38 2 0.1411 0.94565 0.000 0.964 0.036
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0000 0.96645 1.000 0.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.96645 1.000 0.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.0000 0.97334 0.000 1.000 0.000
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0000 0.96645 1.000 0.000 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0000 0.96645 1.000 0.000 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.0237 0.97105 0.000 0.996 0.004
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 1 0.0000 0.96645 1.000 0.000 0.000
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.0747 0.96231 0.000 0.984 0.016
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.97334 0.000 1.000 0.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.97334 0.000 1.000 0.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.4931 0.71085 0.768 0.000 0.232
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.0237 0.97105 0.000 0.996 0.004
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.1529 0.94181 0.000 0.960 0.040
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0000 0.97334 0.000 1.000 0.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 2 0.6307 -0.06121 0.000 0.512 0.488
#> B822A426-98C1-4976-9FC2-16347992AD78 3 0.0000 0.89493 0.000 0.000 1.000
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.97334 0.000 1.000 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0000 0.96645 1.000 0.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.97334 0.000 1.000 0.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.0000 0.89493 0.000 0.000 1.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.0000 0.97334 0.000 1.000 0.000
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.4555 0.72337 0.000 0.200 0.800
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.0892 0.95393 0.020 0.980 0.000
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.0000 0.96645 1.000 0.000 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.0000 0.97334 0.000 1.000 0.000
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.1289 0.93780 0.968 0.032 0.000
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0000 0.97334 0.000 1.000 0.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.5988 0.40352 0.368 0.632 0.000
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 3 0.6307 0.13578 0.000 0.488 0.512
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.0000 0.89493 0.000 0.000 1.000
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.97334 0.000 1.000 0.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.0000 0.96645 1.000 0.000 0.000
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 3 0.4842 0.67437 0.224 0.000 0.776
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 3 0.0000 0.89493 0.000 0.000 1.000
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.96645 1.000 0.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.5785 0.52712 0.668 0.000 0.332
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.0000 0.96645 1.000 0.000 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.96645 1.000 0.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.0000 0.96645 1.000 0.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 3 0.0000 0.89493 0.000 0.000 1.000
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.5650 0.51456 0.000 0.688 0.312
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.96645 1.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.96645 1.000 0.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.97334 0.000 1.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.96645 1.000 0.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.97334 0.000 1.000 0.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.96645 1.000 0.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0000 0.96645 1.000 0.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.3816 0.81511 0.852 0.000 0.148
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.2066 0.90547 0.060 0.940 0.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.0000 0.97334 0.000 1.000 0.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.97334 0.000 1.000 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.5621 0.57685 0.692 0.000 0.308
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.97334 0.000 1.000 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.0892 0.94851 0.980 0.020 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.97334 0.000 1.000 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.89493 0.000 0.000 1.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.97334 0.000 1.000 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.0000 0.89493 0.000 0.000 1.000
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 3 0.0000 0.89493 0.000 0.000 1.000
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.97334 0.000 1.000 0.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0747 0.96231 0.000 0.984 0.016
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.0000 0.89493 0.000 0.000 1.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.97334 0.000 1.000 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.96645 1.000 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.89493 0.000 0.000 1.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.96645 1.000 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.96645 1.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.96645 1.000 0.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.97334 0.000 1.000 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.0424 0.89134 0.000 0.008 0.992
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.97334 0.000 1.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.96645 1.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.0000 0.89493 0.000 0.000 1.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.1529 0.94181 0.000 0.960 0.040
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.1411 0.94565 0.000 0.964 0.036
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.1411 0.94565 0.000 0.964 0.036
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.4504 0.72817 0.000 0.196 0.804
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0000 0.96645 1.000 0.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.96645 1.000 0.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.96645 1.000 0.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.96645 1.000 0.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.1860 0.92946 0.000 0.948 0.052
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.96645 1.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0237 0.97105 0.000 0.996 0.004
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.96645 1.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.97334 0.000 1.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.6286 0.20952 0.000 0.464 0.536
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.96645 1.000 0.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.96645 1.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.89493 0.000 0.000 1.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.96645 1.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.97334 0.000 1.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.96645 1.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.89493 0.000 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.96645 1.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0000 0.96645 1.000 0.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0000 0.96645 1.000 0.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.96645 1.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0000 0.89493 0.000 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.4504 0.72817 0.000 0.196 0.804
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.96645 1.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.97334 0.000 1.000 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.96645 1.000 0.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.97334 0.000 1.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.97334 0.000 1.000 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.1411 0.94572 0.000 0.964 0.036
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0424 0.96830 0.000 0.992 0.008
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.89493 0.000 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.96645 1.000 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.96645 1.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.96645 1.000 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.1643 0.93743 0.000 0.956 0.044
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.0000 0.89493 0.000 0.000 1.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.97334 0.000 1.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.4555 0.75769 0.800 0.000 0.200
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.96645 1.000 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.97334 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.9025 0.000 1.000 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.1302 0.7813 0.000 0.000 0.956 0.044
#> B5567E00-32AA-48D8-8087-1088C22B0994 4 0.5997 0.5527 0.000 0.048 0.376 0.576
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.2797 0.7838 0.900 0.000 0.032 0.068
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.4790 0.4746 0.000 0.000 0.620 0.380
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.0000 0.8114 0.000 0.000 1.000 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.0000 0.8114 0.000 0.000 1.000 0.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 4 0.4898 0.3611 0.000 0.416 0.000 0.584
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.4855 0.6969 0.600 0.000 0.000 0.400
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9025 0.000 1.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.0000 0.4839 0.000 0.000 0.000 1.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.4989 -0.0303 0.000 0.528 0.000 0.472
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.4776 0.4785 0.000 0.000 0.624 0.376
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.6680 0.6387 0.604 0.000 0.136 0.260
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.4855 0.6969 0.600 0.000 0.000 0.400
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.3688 0.6756 0.000 0.792 0.000 0.208
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.0000 0.8114 0.000 0.000 1.000 0.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 4 0.5339 0.4202 0.000 0.384 0.016 0.600
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.4776 0.4578 0.376 0.000 0.624 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0000 0.8114 0.000 0.000 1.000 0.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.4855 0.6969 0.600 0.000 0.000 0.400
#> E773014C-98DE-4394-95F9-845E29F35A2B 4 0.4855 0.3935 0.000 0.400 0.000 0.600
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.4225 0.5029 0.184 0.024 0.000 0.792
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.2345 0.5357 0.000 0.100 0.000 0.900
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.4776 0.4576 0.376 0.000 0.624 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.9025 0.000 1.000 0.000 0.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.5279 0.4442 0.012 0.000 0.588 0.400
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.4855 0.6969 0.600 0.000 0.000 0.400
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.4855 0.6969 0.600 0.000 0.000 0.400
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.0000 0.8114 0.000 0.000 1.000 0.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.0188 0.8080 0.000 0.000 0.996 0.004
#> 333F9855-9462-46B8-87C8-E9B01572C101 3 0.5467 0.4421 0.008 0.008 0.584 0.400
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.6805 0.5952 0.500 0.000 0.100 0.400
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.4855 0.6969 0.600 0.000 0.000 0.400
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.4855 0.6969 0.600 0.000 0.000 0.400
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.9025 0.000 1.000 0.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9025 0.000 1.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.8088 1.000 0.000 0.000 0.000
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#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 4 0.5138 0.4081 0.000 0.392 0.008 0.600
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.0000 0.8114 0.000 0.000 1.000 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.9025 0.000 1.000 0.000 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.8114 0.000 0.000 1.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.1792 0.7944 0.932 0.000 0.000 0.068
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.4855 0.6969 0.600 0.000 0.000 0.400
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.3764 0.6630 0.000 0.784 0.000 0.216
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.3550 0.7025 0.000 0.096 0.860 0.044
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.9025 0.000 1.000 0.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.0000 0.8114 0.000 0.000 1.000 0.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 4 0.6756 0.6243 0.000 0.148 0.252 0.600
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 4 0.6756 0.6243 0.000 0.148 0.252 0.600
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 4 0.6756 0.6243 0.000 0.148 0.252 0.600
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 4 0.4888 0.5100 0.000 0.000 0.412 0.588
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.5279 0.6873 0.588 0.012 0.000 0.400
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.4855 0.6969 0.600 0.000 0.000 0.400
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.4855 0.6969 0.600 0.000 0.000 0.400
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.4855 0.6969 0.600 0.000 0.000 0.400
#> D316C207-8020-47A7-8C2D-753CF42223B5 4 0.6617 0.6136 0.000 0.120 0.280 0.600
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 4 0.4888 0.3700 0.000 0.412 0.000 0.588
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.9025 0.000 1.000 0.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 4 0.5510 0.5571 0.000 0.024 0.376 0.600
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.8114 0.000 0.000 1.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.9025 0.000 1.000 0.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.4543 0.2235 0.000 0.000 0.676 0.324
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.1302 0.7756 0.956 0.044 0.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0592 0.7977 0.984 0.016 0.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0000 0.8114 0.000 0.000 1.000 0.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 4 0.4888 0.5100 0.000 0.000 0.412 0.588
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 4 0.4855 0.3935 0.000 0.400 0.000 0.600
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.4855 0.6969 0.600 0.000 0.000 0.400
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.9025 0.000 1.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 4 0.4855 0.3935 0.000 0.400 0.000 0.600
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.6756 0.6243 0.000 0.148 0.252 0.600
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 4 0.5016 0.4015 0.000 0.396 0.004 0.600
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.8114 0.000 0.000 1.000 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.4855 0.6969 0.600 0.000 0.000 0.400
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.8088 1.000 0.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.4855 0.6969 0.600 0.000 0.000 0.400
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 4 0.5279 0.3951 0.000 0.400 0.012 0.588
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.0000 0.8114 0.000 0.000 1.000 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.9025 0.000 1.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.7610 -0.4663 0.400 0.000 0.200 0.400
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.4855 0.6969 0.600 0.000 0.000 0.400
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.9025 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.9605 0.000 1.000 0.000 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.0162 0.9223 0.000 0.000 0.996 0.004 0.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.0880 0.8688 0.000 0.032 0.000 0.000 0.968
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.3913 0.5205 0.324 0.000 0.000 0.676 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.1121 0.8933 0.000 0.000 0.956 0.044 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.0162 0.9223 0.000 0.000 0.996 0.004 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.0703 0.8725 0.000 0.024 0.000 0.000 0.976
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.0290 0.9027 0.008 0.000 0.000 0.992 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9605 0.000 1.000 0.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.4030 0.4775 0.000 0.000 0.000 0.648 0.352
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.1341 0.8549 0.000 0.056 0.000 0.000 0.944
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.2329 0.8180 0.000 0.000 0.876 0.124 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.3196 0.7347 0.192 0.000 0.004 0.804 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0703 0.8984 0.024 0.000 0.000 0.976 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.3612 0.6431 0.000 0.268 0.000 0.000 0.732
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 5 0.0000 0.8774 0.000 0.000 0.000 0.000 1.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.3123 0.7475 0.184 0.000 0.812 0.004 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0162 0.9223 0.000 0.000 0.996 0.004 0.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.0290 0.9027 0.008 0.000 0.000 0.992 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.0000 0.8774 0.000 0.000 0.000 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 5 0.3210 0.6633 0.000 0.000 0.000 0.212 0.788
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 5 0.0404 0.8743 0.000 0.000 0.000 0.012 0.988
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0162 0.9582 0.000 0.996 0.000 0.000 0.004
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.4278 0.1696 0.000 0.000 0.548 0.452 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.0290 0.9027 0.008 0.000 0.000 0.992 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0290 0.9027 0.008 0.000 0.000 0.992 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.0162 0.9223 0.000 0.000 0.996 0.004 0.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.4211 0.4016 0.000 0.000 0.636 0.004 0.360
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.4302 0.0638 0.000 0.000 0.480 0.520 0.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.0162 0.8994 0.000 0.000 0.004 0.996 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.0404 0.9021 0.012 0.000 0.000 0.988 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0290 0.9027 0.008 0.000 0.000 0.992 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.9605 0.000 1.000 0.000 0.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9605 0.000 1.000 0.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.2377 0.8234 0.872 0.000 0.000 0.128 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.0290 0.9027 0.008 0.000 0.000 0.992 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.9605 0.000 1.000 0.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.1792 0.8358 0.000 0.084 0.000 0.000 0.916
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 4 0.1908 0.8516 0.092 0.000 0.000 0.908 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.9605 0.000 1.000 0.000 0.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 5 0.3730 0.6118 0.000 0.288 0.000 0.000 0.712
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.9605 0.000 1.000 0.000 0.000 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0000 0.9605 0.000 1.000 0.000 0.000 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.0609 0.9417 0.020 0.980 0.000 0.000 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.9605 0.000 1.000 0.000 0.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.0162 0.9223 0.000 0.000 0.996 0.004 0.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 5 0.0609 0.8740 0.000 0.020 0.000 0.000 0.980
#> D6654189-0570-4603-8C92-3032F2CF7EF3 5 0.0162 0.8773 0.000 0.000 0.000 0.004 0.996
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.9605 0.000 1.000 0.000 0.000 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.0510 0.9455 0.016 0.984 0.000 0.000 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.3336 0.6755 0.228 0.772 0.000 0.000 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.2074 0.8339 0.000 0.000 0.000 0.896 0.104
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.9605 0.000 1.000 0.000 0.000 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.0162 0.9223 0.000 0.000 0.996 0.004 0.000
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.0290 0.9027 0.008 0.000 0.000 0.992 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.9605 0.000 1.000 0.000 0.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.9605 0.000 1.000 0.000 0.000 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.1341 0.8718 0.000 0.000 0.000 0.944 0.056
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.0290 0.9027 0.008 0.000 0.000 0.992 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.0290 0.9027 0.008 0.000 0.000 0.992 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.0000 0.9605 0.000 1.000 0.000 0.000 0.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 5 0.1043 0.8645 0.000 0.040 0.000 0.000 0.960
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.2813 0.7702 0.000 0.000 0.000 0.832 0.168
#> A8AE6F61-125B-4103-9F45-3F4C86234826 4 0.0290 0.9027 0.008 0.000 0.000 0.992 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.1341 0.8718 0.000 0.000 0.000 0.944 0.056
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.3074 0.7199 0.000 0.804 0.000 0.000 0.196
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 3 0.0162 0.9223 0.000 0.000 0.996 0.004 0.000
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 4 0.3274 0.7052 0.000 0.000 0.000 0.780 0.220
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.4297 0.0934 0.528 0.000 0.000 0.472 0.000
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 4 0.1043 0.8828 0.000 0.000 0.040 0.960 0.000
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 4 0.0404 0.9021 0.012 0.000 0.000 0.988 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 4 0.3857 0.5465 0.312 0.000 0.000 0.688 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 5 0.0000 0.8774 0.000 0.000 0.000 0.000 1.000
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#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.2020 0.8317 0.000 0.000 0.900 0.000 0.100
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0162 0.9397 0.996 0.004 0.000 0.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.1197 0.9019 0.952 0.048 0.000 0.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 5 0.4359 0.3123 0.000 0.000 0.412 0.004 0.584
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.0609 0.8740 0.000 0.020 0.000 0.000 0.980
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.1121 0.8898 0.044 0.000 0.000 0.956 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.9605 0.000 1.000 0.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.0000 0.8774 0.000 0.000 0.000 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.0162 0.8773 0.000 0.000 0.000 0.004 0.996
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.0162 0.8773 0.000 0.000 0.000 0.004 0.996
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.9234 0.000 0.000 1.000 0.000 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0290 0.9027 0.008 0.000 0.000 0.992 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.9432 1.000 0.000 0.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.0290 0.9027 0.008 0.000 0.000 0.992 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.0794 0.8708 0.000 0.028 0.000 0.000 0.972
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.0162 0.9223 0.000 0.000 0.996 0.004 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0162 0.9582 0.000 0.996 0.000 0.000 0.004
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.0162 0.8994 0.000 0.000 0.004 0.996 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0290 0.9027 0.008 0.000 0.000 0.992 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.9605 0.000 1.000 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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0260 0.89119 0.000 0.992 0.008 0.000 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 6 0.0547 0.56863 0.000 0.000 0.020 0.000 0.000 0.980
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.0891 0.85050 0.000 0.024 0.008 0.000 0.968 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.1555 0.92088 0.940 0.000 0.012 0.040 0.000 0.008
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.5944 0.25848 0.156 0.000 0.012 0.472 0.000 0.360
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 6 0.2340 0.55572 0.000 0.000 0.000 0.148 0.000 0.852
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 6 0.0458 0.58256 0.000 0.000 0.000 0.016 0.000 0.984
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 6 0.2883 0.24628 0.000 0.000 0.212 0.000 0.000 0.788
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.0790 0.84996 0.000 0.032 0.000 0.000 0.968 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.1078 0.79078 0.016 0.000 0.012 0.964 0.000 0.008
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0363 0.89271 0.000 0.988 0.000 0.000 0.012 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.4941 0.41613 0.000 0.000 0.444 0.492 0.064 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.1007 0.84675 0.000 0.044 0.000 0.000 0.956 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 6 0.1501 0.57988 0.000 0.000 0.000 0.076 0.000 0.924
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.94979 1.000 0.000 0.000 0.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.4902 0.21523 0.036 0.000 0.012 0.500 0.000 0.452
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.3315 0.71253 0.040 0.000 0.156 0.804 0.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.1501 0.83137 0.000 0.076 0.000 0.000 0.924 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.4175 0.66570 0.012 0.000 0.524 0.000 0.000 0.464
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0508 0.94881 0.984 0.000 0.012 0.000 0.000 0.004
#> 82341457-7386-4C56-9DAF-A8F020055685 5 0.3589 0.75397 0.000 0.004 0.208 0.008 0.768 0.012
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 6 0.1765 0.54763 0.096 0.000 0.000 0.000 0.000 0.904
#> C1323790-6C24-4E54-A266-AE66588C1DD5 6 0.0937 0.55433 0.000 0.000 0.040 0.000 0.000 0.960
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.0458 0.79493 0.016 0.000 0.000 0.984 0.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.0146 0.84963 0.000 0.004 0.000 0.000 0.996 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0508 0.94881 0.984 0.000 0.012 0.000 0.000 0.004
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 3 0.6656 -0.27871 0.000 0.000 0.460 0.236 0.256 0.048
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 3 0.5392 -0.49677 0.000 0.000 0.448 0.112 0.440 0.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.3862 0.67680 0.000 0.000 0.524 0.000 0.000 0.476
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.3582 0.70379 0.000 0.732 0.000 0.000 0.252 0.016
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 6 0.2980 0.53628 0.000 0.000 0.012 0.180 0.000 0.808
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.0458 0.79493 0.016 0.000 0.000 0.984 0.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0458 0.79493 0.016 0.000 0.000 0.984 0.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 6 0.0790 0.56129 0.000 0.000 0.032 0.000 0.000 0.968
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0508 0.94881 0.984 0.000 0.012 0.000 0.000 0.004
#> 2A08011A-E15E-4754-B560-4637EF3A446B 6 0.3168 0.46323 0.000 0.000 0.016 0.000 0.192 0.792
#> 333F9855-9462-46B8-87C8-E9B01572C101 6 0.2996 0.52248 0.000 0.000 0.000 0.228 0.000 0.772
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.4076 0.38021 0.000 0.000 0.012 0.592 0.000 0.396
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.0458 0.79493 0.016 0.000 0.000 0.984 0.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0458 0.79493 0.016 0.000 0.000 0.984 0.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.2491 0.80908 0.000 0.836 0.000 0.000 0.164 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.1714 0.86383 0.000 0.908 0.000 0.000 0.092 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.3128 0.77123 0.812 0.000 0.012 0.168 0.000 0.008
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.94979 1.000 0.000 0.000 0.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0622 0.94730 0.980 0.000 0.012 0.000 0.000 0.008
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.0405 0.79223 0.008 0.000 0.000 0.988 0.000 0.004
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.3854 0.69212 0.000 0.000 0.536 0.000 0.000 0.464
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.1141 0.88300 0.000 0.948 0.000 0.000 0.052 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.1007 0.84675 0.000 0.044 0.000 0.000 0.956 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 4 0.1511 0.78444 0.032 0.000 0.012 0.944 0.000 0.012
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0260 0.89119 0.000 0.992 0.008 0.000 0.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.94979 1.000 0.000 0.000 0.000 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 5 0.1663 0.82294 0.000 0.088 0.000 0.000 0.912 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0713 0.88100 0.000 0.972 0.028 0.000 0.000 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.3979 0.68758 0.000 0.000 0.540 0.000 0.004 0.456
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.1714 0.84694 0.000 0.908 0.092 0.000 0.000 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0508 0.94881 0.984 0.000 0.012 0.000 0.000 0.004
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.94979 1.000 0.000 0.000 0.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.0806 0.88055 0.020 0.972 0.008 0.000 0.000 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0260 0.89286 0.000 0.992 0.000 0.000 0.008 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 6 0.3851 -0.55430 0.000 0.000 0.460 0.000 0.000 0.540
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0363 0.94958 0.988 0.000 0.012 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 5 0.0713 0.85043 0.000 0.028 0.000 0.000 0.972 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 5 0.3608 0.73613 0.000 0.000 0.272 0.012 0.716 0.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.1714 0.86381 0.000 0.908 0.000 0.000 0.092 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.3854 0.69212 0.000 0.000 0.536 0.000 0.000 0.464
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.0603 0.88478 0.016 0.980 0.004 0.000 0.000 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.3857 0.68893 0.000 0.000 0.532 0.000 0.000 0.468
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.4351 0.71719 0.120 0.756 0.104 0.020 0.000 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.4453 0.45231 0.000 0.000 0.444 0.528 0.028 0.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.1501 0.87226 0.000 0.924 0.000 0.000 0.076 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.3854 0.69212 0.000 0.000 0.536 0.000 0.000 0.464
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.3868 0.63638 0.000 0.000 0.504 0.000 0.000 0.496
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.0458 0.79493 0.016 0.000 0.000 0.984 0.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.1663 0.86659 0.000 0.912 0.000 0.000 0.088 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.3979 0.68758 0.000 0.000 0.540 0.000 0.004 0.456
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0260 0.89119 0.000 0.992 0.008 0.000 0.000 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.4444 0.46043 0.000 0.000 0.436 0.536 0.028 0.000
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.0458 0.79493 0.016 0.000 0.000 0.984 0.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.0458 0.79493 0.016 0.000 0.000 0.984 0.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.0260 0.89286 0.000 0.992 0.000 0.000 0.008 0.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 5 0.0865 0.84900 0.000 0.036 0.000 0.000 0.964 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.4606 0.51138 0.000 0.000 0.344 0.604 0.052 0.000
#> A8AE6F61-125B-4103-9F45-3F4C86234826 4 0.0547 0.79476 0.020 0.000 0.000 0.980 0.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.3854 0.69212 0.000 0.000 0.536 0.000 0.000 0.464
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0146 0.94885 0.996 0.000 0.000 0.004 0.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.3982 0.69049 0.000 0.000 0.536 0.000 0.004 0.460
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.4565 0.45689 0.000 0.000 0.432 0.532 0.036 0.000
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0000 0.94979 1.000 0.000 0.000 0.000 0.000 0.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.94979 1.000 0.000 0.000 0.000 0.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 5 0.3727 0.27923 0.000 0.388 0.000 0.000 0.612 0.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 6 0.0146 0.57872 0.000 0.000 0.000 0.004 0.000 0.996
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 4 0.5768 0.37918 0.000 0.000 0.440 0.452 0.064 0.044
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 4 0.5358 0.22387 0.408 0.000 0.012 0.504 0.000 0.076
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 6 0.3838 -0.02720 0.000 0.000 0.000 0.448 0.000 0.552
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 4 0.0632 0.79414 0.024 0.000 0.000 0.976 0.000 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 4 0.3946 0.64062 0.208 0.000 0.012 0.748 0.000 0.032
#> 7465251E-7BC8-4179-8950-4E41836CF36B 5 0.0603 0.84498 0.000 0.000 0.016 0.004 0.980 0.000
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 4 0.5856 0.20780 0.136 0.000 0.012 0.456 0.000 0.396
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.4847 0.17368 0.000 0.500 0.056 0.000 0.444 0.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 4 0.6696 0.41036 0.080 0.240 0.180 0.500 0.000 0.000
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.4097 0.00596 0.500 0.492 0.008 0.000 0.000 0.000
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.4542 0.34345 0.000 0.000 0.728 0.012 0.120 0.140
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 6 0.3789 -0.45024 0.000 0.000 0.416 0.000 0.000 0.584
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0260 0.89119 0.000 0.992 0.008 0.000 0.000 0.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 4 0.3868 0.00357 0.000 0.000 0.000 0.508 0.000 0.492
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.3854 0.69212 0.000 0.000 0.536 0.000 0.000 0.464
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 6 0.0000 0.57669 0.000 0.000 0.000 0.000 0.000 1.000
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.4182 0.60555 0.712 0.000 0.012 0.244 0.000 0.032
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0508 0.94881 0.984 0.000 0.012 0.000 0.000 0.004
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.3857 0.68893 0.000 0.000 0.532 0.000 0.000 0.468
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 4 0.0458 0.78776 0.000 0.000 0.000 0.984 0.000 0.016
#> B54317C9-8704-42A6-BE96-E12855874596 5 0.1225 0.83750 0.000 0.000 0.036 0.000 0.952 0.012
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.0146 0.94801 0.996 0.004 0.000 0.000 0.000 0.000
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0260 0.89119 0.000 0.992 0.008 0.000 0.000 0.000
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.2520 0.79805 0.844 0.000 0.000 0.152 0.000 0.004
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 6 0.1075 0.54646 0.000 0.000 0.048 0.000 0.000 0.952
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 4 0.0632 0.79414 0.024 0.000 0.000 0.976 0.000 0.000
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#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0260 0.94991 0.992 0.000 0.008 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.1075 0.88441 0.000 0.952 0.000 0.000 0.048 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0363 0.94958 0.988 0.000 0.012 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.4372 0.66220 0.000 0.000 0.544 0.000 0.024 0.432
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0508 0.94881 0.984 0.000 0.012 0.000 0.000 0.004
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.2006 0.85962 0.892 0.104 0.004 0.000 0.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.3528 0.81369 0.816 0.084 0.092 0.000 0.000 0.008
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0508 0.94881 0.984 0.000 0.012 0.000 0.000 0.004
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 6 0.3774 -0.42401 0.000 0.000 0.408 0.000 0.000 0.592
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.4582 0.34414 0.000 0.000 0.724 0.012 0.124 0.140
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.94979 1.000 0.000 0.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.0790 0.84996 0.000 0.032 0.000 0.000 0.968 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.0790 0.79215 0.032 0.000 0.000 0.968 0.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0713 0.89022 0.000 0.972 0.000 0.000 0.028 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.0405 0.84974 0.000 0.008 0.004 0.000 0.988 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.3819 0.70806 0.000 0.000 0.316 0.012 0.672 0.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.3368 0.76097 0.000 0.000 0.232 0.012 0.756 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.3857 0.68893 0.000 0.000 0.532 0.000 0.000 0.468
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0458 0.79493 0.016 0.000 0.000 0.984 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.94979 1.000 0.000 0.000 0.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.0458 0.79493 0.016 0.000 0.000 0.984 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.0865 0.84900 0.000 0.036 0.000 0.000 0.964 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 6 0.0865 0.55784 0.000 0.000 0.036 0.000 0.000 0.964
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.2697 0.78645 0.000 0.812 0.000 0.000 0.188 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.3684 0.43475 0.000 0.000 0.000 0.628 0.000 0.372
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0458 0.79493 0.016 0.000 0.000 0.984 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0291 0.89242 0.000 0.992 0.004 0.000 0.004 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17416 rows and 433 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.884 0.927 0.953 0.4598 0.537 0.537
#> 3 3 0.614 0.708 0.873 0.4109 0.793 0.624
#> 4 4 0.886 0.877 0.944 0.1045 0.877 0.677
#> 5 5 0.719 0.674 0.769 0.0708 0.890 0.647
#> 6 6 0.730 0.685 0.847 0.0504 0.870 0.524
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.7139 0.7933 0.196 0.804
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.3584 0.9487 0.932 0.068
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0000 0.9682 0.000 1.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.9409 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.3584 0.9487 0.932 0.068
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.3584 0.9487 0.932 0.068
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.3584 0.9487 0.932 0.068
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.0000 0.9682 0.000 1.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.9682 0.000 1.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.9409 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9682 0.000 1.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.3584 0.9487 0.932 0.068
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.9682 0.000 1.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.3584 0.9487 0.932 0.068
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9409 1.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0938 0.9429 0.988 0.012
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.3584 0.9487 0.932 0.068
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.9682 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.3584 0.9487 0.932 0.068
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.9409 1.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0376 0.9654 0.004 0.996
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.3584 0.9487 0.932 0.068
#> C1323790-6C24-4E54-A266-AE66588C1DD5 1 0.3584 0.9487 0.932 0.068
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.3584 0.9487 0.932 0.068
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.9682 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9409 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.8267 0.7190 0.740 0.260
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 1 0.3733 0.9465 0.928 0.072
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.3584 0.9487 0.932 0.068
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.9682 0.000 1.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.3584 0.9487 0.932 0.068
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.9409 1.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.3431 0.9486 0.936 0.064
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 1 0.3584 0.9487 0.932 0.068
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9409 1.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.9732 0.2937 0.404 0.596
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.3584 0.9487 0.932 0.068
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.3584 0.9487 0.932 0.068
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.9409 1.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.9409 1.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.9682 0.000 1.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9682 0.000 1.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.9409 1.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.9409 1.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.9409 1.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.3584 0.9487 0.932 0.068
#> 9BDFB73A-076E-418B-B84E-381341688002 1 0.6148 0.8744 0.848 0.152
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.9682 0.000 1.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.9682 0.000 1.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.9409 1.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.9682 0.000 1.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.9409 1.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.9682 0.000 1.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.9682 0.000 1.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 1 0.3733 0.9465 0.928 0.072
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.9661 0.3275 0.392 0.608
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.9409 1.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.9409 1.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.2603 0.9200 0.956 0.044
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.9682 0.000 1.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 1 0.3584 0.9487 0.932 0.068
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.9409 1.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.9682 0.000 1.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.0000 0.9682 0.000 1.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.9682 0.000 1.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 1 0.3584 0.9487 0.932 0.068
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.6048 0.8193 0.148 0.852
#> 164DD212-0839-4644-8FEE-E6A07A60803B 1 0.7299 0.8145 0.796 0.204
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.9881 0.3001 0.564 0.436
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 1 0.0938 0.9429 0.988 0.012
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.9682 0.000 1.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 1 0.3733 0.9465 0.928 0.072
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.3584 0.9487 0.932 0.068
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0000 0.9409 1.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.9682 0.000 1.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 2 0.0000 0.9682 0.000 1.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.9682 0.000 1.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.3584 0.9487 0.932 0.068
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0000 0.9409 1.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.1843 0.9452 0.972 0.028
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.7376 0.7820 0.208 0.792
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.9682 0.000 1.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 1 0.3584 0.9487 0.932 0.068
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0000 0.9409 1.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 1 0.3584 0.9487 0.932 0.068
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0000 0.9409 1.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 2 0.0000 0.9682 0.000 1.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 1 0.3584 0.9487 0.932 0.068
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.3584 0.9487 0.932 0.068
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.9409 1.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0000 0.9682 0.000 1.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 1 0.3584 0.9487 0.932 0.068
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 1 0.3584 0.9487 0.932 0.068
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.3584 0.9487 0.932 0.068
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.3584 0.9487 0.932 0.068
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.0000 0.9409 1.000 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.0000 0.9409 1.000 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.0000 0.9682 0.000 1.000
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.3584 0.9487 0.932 0.068
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0000 0.9682 0.000 1.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.0000 0.9409 1.000 0.000
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.9635 0.4658 0.388 0.612
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 1 0.7528 0.7982 0.784 0.216
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#> 3D6CE155-4E02-4739-A8C9-30981EA9B0B1 1 0.0000 0.9409 1.000 0.000
#> 0A3AB174-07D0-4396-A6C5-9ECEEBE8651C 1 0.0000 0.9409 1.000 0.000
#> 86ACC3DD-A9E8-4FDA-ACF9-33175CE06629 1 0.0000 0.9409 1.000 0.000
#> A3150223-5399-4CC6-90A7-6046F39FAC3E 2 0.0000 0.9682 0.000 1.000
#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 1 0.0000 0.9409 1.000 0.000
#> 99D8A9E2-773C-4142-9A93-5F749961F712 1 0.3584 0.9487 0.932 0.068
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 1 0.4815 0.9224 0.896 0.104
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 1 0.2778 0.9475 0.952 0.048
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 2 0.6048 0.8193 0.148 0.852
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 1 0.3584 0.9487 0.932 0.068
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 2 0.0000 0.9682 0.000 1.000
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 2 0.0000 0.9682 0.000 1.000
#> 14003AA2-81B6-4143-98AD-124903BAE56B 1 0.0000 0.9409 1.000 0.000
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.0000 0.9409 1.000 0.000
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0000 0.9682 0.000 1.000
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.1843 0.9459 0.028 0.972
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.0000 0.9682 0.000 1.000
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 2 0.5946 0.8244 0.144 0.856
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 1 0.8661 0.6895 0.712 0.288
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.0000 0.9409 1.000 0.000
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0000 0.9409 1.000 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 2 0.0000 0.9682 0.000 1.000
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 2 0.0000 0.9682 0.000 1.000
#> 420503AA-3799-4816-BEEC-0B4D05988D38 2 0.0000 0.9682 0.000 1.000
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0000 0.9409 1.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.9409 1.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.0000 0.9682 0.000 1.000
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0000 0.9409 1.000 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0000 0.9409 1.000 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.9248 0.4366 0.340 0.660
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 1 0.2603 0.9471 0.956 0.044
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.0000 0.9682 0.000 1.000
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.9682 0.000 1.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.9682 0.000 1.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.3431 0.9487 0.936 0.064
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.0000 0.9682 0.000 1.000
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.0000 0.9682 0.000 1.000
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0000 0.9682 0.000 1.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 2 0.0000 0.9682 0.000 1.000
#> B822A426-98C1-4976-9FC2-16347992AD78 1 0.3584 0.9487 0.932 0.068
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.9682 0.000 1.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0000 0.9409 1.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.9682 0.000 1.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 1 0.9522 0.5185 0.628 0.372
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.0000 0.9682 0.000 1.000
#> E9894334-C852-4159-9FEB-40292B160CC1 2 0.0000 0.9682 0.000 1.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.5629 0.8671 0.132 0.868
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.3584 0.9487 0.932 0.068
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 1 0.3733 0.9465 0.928 0.072
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.0000 0.9409 1.000 0.000
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0000 0.9682 0.000 1.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.5842 0.8289 0.140 0.860
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 2 0.0000 0.9682 0.000 1.000
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 1 0.3584 0.9487 0.932 0.068
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.9682 0.000 1.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.3584 0.9487 0.932 0.068
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.3584 0.9487 0.932 0.068
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.6048 0.8193 0.148 0.852
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.9409 1.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.3584 0.9487 0.932 0.068
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.3584 0.9487 0.932 0.068
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.9409 1.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.0000 0.9409 1.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.3584 0.9487 0.932 0.068
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.5629 0.8310 0.132 0.868
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.9409 1.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.3114 0.9482 0.944 0.056
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.9682 0.000 1.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.9409 1.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.9682 0.000 1.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.3584 0.9487 0.932 0.068
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.3584 0.9487 0.932 0.068
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.3584 0.9487 0.932 0.068
#> FAA38111-F046-4ACD-B787-764A17EAF548 1 0.3733 0.9465 0.928 0.072
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.2043 0.9423 0.032 0.968
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.9682 0.000 1.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.3584 0.9487 0.932 0.068
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.9682 0.000 1.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.3584 0.9487 0.932 0.068
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.9682 0.000 1.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 1 0.8713 0.6820 0.708 0.292
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.9682 0.000 1.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 1 0.7883 0.7591 0.764 0.236
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.3584 0.9487 0.932 0.068
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.2236 0.9387 0.036 0.964
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.1414 0.9530 0.020 0.980
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.3584 0.9487 0.932 0.068
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.9682 0.000 1.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.9409 1.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.0938 0.9592 0.012 0.988
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.9409 1.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.9409 1.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.9409 1.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.9682 0.000 1.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.7602 0.7863 0.780 0.220
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.9682 0.000 1.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.9409 1.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.3584 0.9487 0.932 0.068
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 0.9682 0.000 1.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.3114 0.9183 0.056 0.944
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.1184 0.9558 0.016 0.984
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.9993 -0.0783 0.484 0.516
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.3584 0.9487 0.932 0.068
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.1633 0.9447 0.976 0.024
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.9409 1.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.3584 0.9487 0.932 0.068
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.9682 0.000 1.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.9409 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.9682 0.000 1.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.9409 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.9682 0.000 1.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0000 0.9682 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.9409 1.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.9409 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.0376 0.9654 0.004 0.996
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.9409 1.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.9682 0.000 1.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.9409 1.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.0000 0.9682 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.9409 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0000 0.9409 1.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0000 0.9409 1.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9409 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 1 0.7528 0.7983 0.784 0.216
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 1 0.9775 0.4172 0.588 0.412
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.9409 1.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.9682 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.3584 0.9487 0.932 0.068
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.9682 0.000 1.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.9682 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 1 0.3584 0.9487 0.932 0.068
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.9682 0.000 1.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 1 0.3584 0.9487 0.932 0.068
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.9409 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.3584 0.9487 0.932 0.068
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.9409 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.9682 0.000 1.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.3584 0.9487 0.932 0.068
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.9682 0.000 1.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.3584 0.9487 0.932 0.068
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.3584 0.9487 0.932 0.068
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.4161 0.8920 0.084 0.916
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.6688 3.61e-01 0.408 0.580 0.012
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.0000 7.76e-01 0.000 0.000 1.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0000 9.05e-01 0.000 1.000 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.2796 8.14e-01 0.908 0.000 0.092
#> 0797DC35-6243-451D-9653-9649D390C0F4 3 0.0424 7.74e-01 0.008 0.000 0.992
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.0000 7.76e-01 0.000 0.000 1.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.0000 7.76e-01 0.000 0.000 1.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.6192 4.33e-01 0.000 0.580 0.420
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 9.05e-01 0.000 1.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.4974 6.38e-01 0.764 0.000 0.236
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 9.05e-01 0.000 1.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 3 0.6168 3.71e-01 0.412 0.000 0.588
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 9.05e-01 0.000 1.000 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.0000 7.76e-01 0.000 0.000 1.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 8.70e-01 1.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 3 0.6062 4.08e-01 0.384 0.000 0.616
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 3 0.6180 3.63e-01 0.416 0.000 0.584
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 9.05e-01 0.000 1.000 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.0000 7.76e-01 0.000 0.000 1.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.3412 7.85e-01 0.876 0.000 0.124
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.2711 8.56e-01 0.000 0.912 0.088
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.0000 7.76e-01 0.000 0.000 1.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0000 7.76e-01 0.000 0.000 1.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 3 0.6008 4.37e-01 0.372 0.000 0.628
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 9.05e-01 0.000 1.000 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 8.70e-01 1.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 3 0.1529 7.54e-01 0.000 0.040 0.960
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 3 0.4346 6.56e-01 0.000 0.184 0.816
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.0000 7.76e-01 0.000 0.000 1.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.3816 8.09e-01 0.000 0.852 0.148
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.0000 7.76e-01 0.000 0.000 1.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 3 0.6225 3.29e-01 0.432 0.000 0.568
#> 4AAD7B53-9AA9-404B-8888-13160458E476 3 0.6192 3.55e-01 0.420 0.000 0.580
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.0000 7.76e-01 0.000 0.000 1.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 8.70e-01 1.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.5621 3.60e-01 0.000 0.308 0.692
#> 333F9855-9462-46B8-87C8-E9B01572C101 3 0.0000 7.76e-01 0.000 0.000 1.000
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#> 090B1958-A944-4B50-8FA4-8F6313E2126F 3 0.0000 7.76e-01 0.000 0.000 1.000
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.4277 8.17e-01 0.016 0.852 0.132
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0892 8.94e-01 0.000 0.980 0.020
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.0000 7.76e-01 0.000 0.000 1.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.3816 8.09e-01 0.000 0.852 0.148
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0892 8.61e-01 0.980 0.000 0.020
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.6215 4.16e-01 0.000 0.572 0.428
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.5397 5.57e-01 0.720 0.000 0.280
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 8.70e-01 1.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.6045 2.42e-01 0.620 0.000 0.380
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 9.05e-01 0.000 1.000 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.3377 7.09e-01 0.012 0.092 0.896
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.7044 7.25e-01 0.108 0.724 0.168
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 8.70e-01 1.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.0000 7.76e-01 0.000 0.000 1.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 9.05e-01 0.000 1.000 0.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.1753 8.77e-01 0.000 0.952 0.048
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0747 8.94e-01 0.000 0.984 0.016
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.5733 3.63e-01 0.000 0.324 0.676
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 3 0.5905 4.69e-01 0.352 0.000 0.648
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 3 0.6225 3.29e-01 0.432 0.000 0.568
#> 56943BD9-EEDA-457A-9F18-ACC397978668 3 0.6225 3.29e-01 0.432 0.000 0.568
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 3 0.0424 7.74e-01 0.008 0.000 0.992
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 9.05e-01 0.000 1.000 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 8.70e-01 1.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 9.05e-01 0.000 1.000 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.3551 7.83e-01 0.868 0.000 0.132
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 9.05e-01 0.000 1.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0000 9.05e-01 0.000 1.000 0.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 8.70e-01 1.000 0.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.2066 8.37e-01 0.940 0.000 0.060
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.6225 4.11e-01 0.000 0.568 0.432
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 8.70e-01 1.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 9.05e-01 0.000 1.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 8.70e-01 1.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.6204 4.25e-01 0.000 0.576 0.424
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 8.70e-01 1.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0000 8.70e-01 1.000 0.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.2796 8.19e-01 0.908 0.000 0.092
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 8.70e-01 1.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.2878 7.15e-01 0.000 0.096 0.904
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.5178 5.16e-01 0.000 0.256 0.744
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 8.70e-01 1.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 9.05e-01 0.000 1.000 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 3 0.0000 7.76e-01 0.000 0.000 1.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.3686 8.15e-01 0.000 0.860 0.140
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 9.05e-01 0.000 1.000 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 3 0.0000 7.76e-01 0.000 0.000 1.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 9.05e-01 0.000 1.000 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 7.76e-01 0.000 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 3 0.6225 3.29e-01 0.432 0.000 0.568
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.4842 6.20e-01 0.776 0.000 0.224
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 3 0.6225 3.29e-01 0.432 0.000 0.568
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 9.05e-01 0.000 1.000 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.0000 7.76e-01 0.000 0.000 1.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 9.05e-01 0.000 1.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 3 0.0000 7.76e-01 0.000 0.000 1.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 3 0.6180 3.63e-01 0.416 0.000 0.584
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.5940 7.40e-01 0.036 0.760 0.204
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.4877 0.3733 0.408 0.592 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.0592 0.9390 0.000 0.000 0.016 0.984
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0000 0.9462 0.000 1.000 0.000 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.1867 0.8656 0.928 0.000 0.000 0.072
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.0000 0.9442 0.000 0.000 0.000 1.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.0336 0.9420 0.000 0.000 0.008 0.992
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.0000 0.9442 0.000 0.000 0.000 1.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.0895 0.9357 0.000 0.976 0.020 0.004
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.9462 0.000 1.000 0.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.4522 0.5643 0.680 0.000 0.000 0.320
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9462 0.000 1.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.1930 0.9042 0.004 0.004 0.056 0.936
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.9462 0.000 1.000 0.000 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.0592 0.9390 0.000 0.000 0.016 0.984
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9107 1.000 0.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.3975 0.6668 0.240 0.000 0.000 0.760
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0188 0.9441 0.004 0.000 0.000 0.996
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.9462 0.000 1.000 0.000 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.0592 0.9390 0.000 0.000 0.016 0.984
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.2345 0.8420 0.900 0.000 0.000 0.100
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0921 0.9287 0.000 0.972 0.000 0.028
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 4 0.0592 0.9390 0.000 0.000 0.016 0.984
#> C1323790-6C24-4E54-A266-AE66588C1DD5 4 0.0592 0.9393 0.000 0.000 0.016 0.984
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.0188 0.9441 0.004 0.000 0.000 0.996
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.1792 0.9040 0.000 0.932 0.068 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9107 1.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.3710 0.7211 0.000 0.192 0.004 0.804
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.2048 0.8948 0.000 0.008 0.064 0.928
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 4 0.0592 0.9390 0.000 0.000 0.016 0.984
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0779 0.9370 0.000 0.980 0.016 0.004
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.0000 0.9442 0.000 0.000 0.000 1.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.0188 0.9441 0.004 0.000 0.000 0.996
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0188 0.9441 0.004 0.000 0.000 0.996
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.0000 0.9442 0.000 0.000 0.000 1.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9107 1.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.5398 0.3220 0.000 0.580 0.016 0.404
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.0000 0.9442 0.000 0.000 0.000 1.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.0188 0.9441 0.004 0.000 0.000 0.996
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.4981 0.2033 0.536 0.000 0.000 0.464
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0188 0.9441 0.004 0.000 0.000 0.996
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.9462 0.000 1.000 0.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9462 0.000 1.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.2281 0.8457 0.904 0.000 0.000 0.096
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.3610 0.7212 0.800 0.000 0.000 0.200
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.9107 1.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.0188 0.9441 0.004 0.000 0.000 0.996
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.2363 0.9057 0.000 0.056 0.920 0.024
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.9462 0.000 1.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.9462 0.000 1.000 0.000 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 4 0.4072 0.6477 0.252 0.000 0.000 0.748
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.1706 0.9180 0.036 0.948 0.016 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.9107 1.000 0.000 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.9462 0.000 1.000 0.000 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.1474 0.9173 0.000 0.948 0.052 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0469 0.9133 0.000 0.000 0.988 0.012
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.4955 0.4665 0.000 0.648 0.008 0.344
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.4989 0.1586 0.528 0.000 0.000 0.472
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.9107 1.000 0.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.0000 0.9107 1.000 0.000 0.000 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.9462 0.000 1.000 0.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 4 0.0921 0.9333 0.000 0.000 0.028 0.972
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.9107 1.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.9462 0.000 1.000 0.000 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.2868 0.8434 0.000 0.864 0.136 0.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.9462 0.000 1.000 0.000 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.1867 0.9092 0.000 0.000 0.928 0.072
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.4614 0.7049 0.228 0.752 0.016 0.004
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.1867 0.9092 0.000 0.000 0.928 0.072
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 4 0.7940 0.0484 0.212 0.368 0.008 0.412
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.0376 0.9431 0.004 0.000 0.004 0.992
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.9462 0.000 1.000 0.000 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.2142 0.9100 0.016 0.000 0.928 0.056
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.0592 0.9390 0.000 0.000 0.016 0.984
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.0188 0.9441 0.004 0.000 0.000 0.996
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.9462 0.000 1.000 0.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.9100 0.000 0.000 1.000 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.1677 0.9199 0.012 0.948 0.040 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.0188 0.9441 0.004 0.000 0.000 0.996
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.0188 0.9441 0.004 0.000 0.000 0.996
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.0188 0.9441 0.004 0.000 0.000 0.996
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.1743 0.9089 0.056 0.940 0.004 0.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.9462 0.000 1.000 0.000 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.0000 0.9442 0.000 0.000 0.000 1.000
#> A8AE6F61-125B-4103-9F45-3F4C86234826 4 0.0188 0.9441 0.004 0.000 0.000 0.996
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.1867 0.9092 0.000 0.000 0.928 0.072
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.2011 0.8592 0.920 0.000 0.000 0.080
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.2197 0.8909 0.000 0.080 0.916 0.004
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.0000 0.9442 0.000 0.000 0.000 1.000
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 4 0.3224 0.8369 0.120 0.000 0.016 0.864
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.9107 1.000 0.000 0.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0000 0.9462 0.000 1.000 0.000 0.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 4 0.0000 0.9442 0.000 0.000 0.000 1.000
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 4 0.0000 0.9442 0.000 0.000 0.000 1.000
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 4 0.0592 0.9390 0.000 0.000 0.016 0.984
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 4 0.0000 0.9442 0.000 0.000 0.000 1.000
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 4 0.0188 0.9441 0.004 0.000 0.000 0.996
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 4 0.4679 0.4323 0.352 0.000 0.000 0.648
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.0592 0.9390 0.000 0.984 0.016 0.000
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 4 0.0000 0.9442 0.000 0.000 0.000 1.000
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0188 0.9447 0.000 0.996 0.004 0.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.3610 0.7212 0.800 0.000 0.000 0.200
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.0000 0.9107 1.000 0.000 0.000 0.000
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.0188 0.9103 0.000 0.004 0.996 0.000
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#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0779 0.9370 0.000 0.980 0.016 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.2561 0.57284 0.144 0.856 0.000 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.3508 0.69223 0.000 0.000 0.000 0.748 0.252
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.1410 0.85680 0.940 0.000 0.000 0.060 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.3452 0.69942 0.000 0.000 0.000 0.756 0.244
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 5 0.5604 -0.41685 0.000 0.456 0.072 0.000 0.472
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.3816 0.55658 0.696 0.000 0.000 0.304 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.3913 -0.16267 0.000 0.676 0.000 0.000 0.324
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.1948 0.82560 0.000 0.008 0.024 0.932 0.036
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.4003 0.64619 0.000 0.000 0.008 0.704 0.288
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.3395 0.64067 0.236 0.000 0.000 0.764 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0162 0.86381 0.004 0.000 0.000 0.996 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 2 0.6590 0.16550 0.000 0.464 0.000 0.248 0.288
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.1544 0.84886 0.932 0.000 0.000 0.068 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 5 0.6787 0.26050 0.000 0.332 0.000 0.288 0.380
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 2 0.7003 0.13289 0.000 0.432 0.012 0.268 0.288
#> C1323790-6C24-4E54-A266-AE66588C1DD5 4 0.2054 0.83240 0.000 0.000 0.028 0.920 0.052
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.4687 0.72782 0.000 0.288 0.040 0.000 0.672
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.4284 0.70162 0.040 0.000 0.000 0.736 0.224
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.2932 0.76667 0.000 0.000 0.032 0.864 0.104
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 4 0.4003 0.64735 0.000 0.008 0.000 0.704 0.288
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.3732 0.51429 0.000 0.792 0.000 0.032 0.176
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.0162 0.86381 0.004 0.000 0.000 0.996 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 4 0.4859 0.56808 0.000 0.008 0.024 0.636 0.332
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.0162 0.86423 0.000 0.000 0.000 0.996 0.004
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.4249 0.26387 0.568 0.000 0.000 0.432 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.3774 0.26134 0.000 0.704 0.000 0.000 0.296
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.2230 0.58467 0.000 0.884 0.000 0.000 0.116
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.1410 0.85523 0.940 0.000 0.000 0.060 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.3388 0.68184 0.792 0.000 0.000 0.200 0.008
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.6787 -0.00395 0.000 0.432 0.240 0.004 0.324
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 5 0.4283 0.68238 0.000 0.456 0.000 0.000 0.544
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 4 0.3534 0.63046 0.256 0.000 0.000 0.744 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0404 0.62690 0.000 0.988 0.000 0.000 0.012
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.3803 0.59462 0.000 0.804 0.056 0.000 0.140
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0290 0.71972 0.000 0.000 0.992 0.008 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.3037 0.59695 0.000 0.860 0.000 0.100 0.040
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.4297 0.11023 0.528 0.000 0.000 0.472 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.4182 0.19869 0.400 0.600 0.000 0.000 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0290 0.62517 0.000 0.992 0.000 0.000 0.008
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 4 0.6424 0.22991 0.000 0.000 0.212 0.500 0.288
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 5 0.4015 0.76871 0.000 0.348 0.000 0.000 0.652
#> D6654189-0570-4603-8C92-3032F2CF7EF3 5 0.5358 0.69055 0.000 0.248 0.104 0.000 0.648
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 5 0.4273 0.69389 0.000 0.448 0.000 0.000 0.552
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.4687 0.75771 0.000 0.000 0.672 0.040 0.288
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.5590 0.45124 0.156 0.640 0.000 0.000 0.204
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.4906 0.75561 0.000 0.008 0.664 0.036 0.292
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.7374 0.33798 0.136 0.492 0.000 0.288 0.084
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.2597 0.77841 0.004 0.120 0.004 0.872 0.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.3274 0.36115 0.000 0.780 0.000 0.000 0.220
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.7532 0.32770 0.004 0.308 0.368 0.028 0.292
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.3730 0.65437 0.000 0.000 0.000 0.712 0.288
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.2230 0.58828 0.000 0.884 0.000 0.000 0.116
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.71554 0.000 0.000 1.000 0.000 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.2965 0.62219 0.012 0.876 0.028 0.000 0.084
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.0162 0.86381 0.004 0.000 0.000 0.996 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.3085 0.58111 0.032 0.852 0.000 0.000 0.116
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> A8AE6F61-125B-4103-9F45-3F4C86234826 4 0.0162 0.86424 0.004 0.000 0.000 0.996 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.4687 0.75771 0.000 0.000 0.672 0.040 0.288
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.1410 0.85623 0.940 0.000 0.000 0.060 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.5114 0.71291 0.000 0.052 0.608 0.000 0.340
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 4 0.4616 0.62485 0.036 0.000 0.000 0.676 0.288
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 4 0.3730 0.65437 0.000 0.000 0.000 0.712 0.288
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 4 0.0162 0.86363 0.004 0.000 0.000 0.996 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 4 0.4015 0.43845 0.348 0.000 0.000 0.652 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 5 0.4118 0.76745 0.000 0.336 0.004 0.000 0.660
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 5 0.4262 0.69974 0.000 0.440 0.000 0.000 0.560
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.4725 0.63511 0.720 0.080 0.000 0.200 0.000
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.4088 0.38932 0.632 0.368 0.000 0.000 0.000
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.1341 0.69239 0.000 0.000 0.944 0.000 0.056
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 2 0.7046 0.11561 0.000 0.416 0.012 0.284 0.288
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 0.62523 0.000 1.000 0.000 0.000 0.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.4329 0.76403 0.000 0.000 0.716 0.032 0.252
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 4 0.5245 0.55574 0.000 0.000 0.080 0.640 0.280
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 4 0.4278 0.14870 0.452 0.000 0.000 0.548 0.000
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.4687 0.75771 0.000 0.000 0.672 0.040 0.288
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> B54317C9-8704-42A6-BE96-E12855874596 5 0.5822 0.67656 0.000 0.344 0.108 0.000 0.548
#> 759B6273-634D-4145-AA95-452D628BF100 2 0.6538 0.24777 0.248 0.480 0.000 0.000 0.272
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0000 0.62523 0.000 1.000 0.000 0.000 0.000
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 2 0.7237 0.06425 0.000 0.392 0.020 0.304 0.284
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 4 0.0510 0.85790 0.016 0.000 0.000 0.984 0.000
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.4570 0.34197 0.020 0.632 0.000 0.348 0.000
#> A6177818-114B-437B-9928-A6747A788109 1 0.2605 0.75130 0.852 0.148 0.000 0.000 0.000
#> E7064800-48FD-492A-A074-84A0B2452445 2 0.7603 -0.00683 0.004 0.444 0.212 0.052 0.288
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 5 0.4114 0.75374 0.000 0.376 0.000 0.000 0.624
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.0880 0.72553 0.000 0.000 0.968 0.032 0.000
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> EB235E9A-E453-4108-AD4F-31260F4340A6 4 0.0290 0.86201 0.000 0.000 0.008 0.992 0.000
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 2 0.6502 0.32774 0.000 0.460 0.020 0.112 0.408
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 4 0.1544 0.83474 0.000 0.000 0.000 0.932 0.068
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 4 0.4300 0.03422 0.476 0.000 0.000 0.524 0.000
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 3 0.1168 0.72812 0.000 0.000 0.960 0.032 0.008
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 3 0.4687 0.75771 0.000 0.000 0.672 0.040 0.288
#> 94128D59-A5BB-4460-A671-5E1571726C4D 4 0.5852 0.31360 0.000 0.292 0.008 0.596 0.104
#> 12BE2E3A-1B57-4EEE-B130-E70B6BE5A96B 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> 66600553-0E68-405C-81A3-4064DA18737D 5 0.4249 0.31879 0.000 0.000 0.432 0.000 0.568
#> C65B6272-DD2B-4075-963B-746F8904B395 5 0.4060 0.76125 0.000 0.360 0.000 0.000 0.640
#> EC7F0653-0AC0-47AF-A6A2-0475E149065F 4 0.3612 0.67556 0.000 0.000 0.000 0.732 0.268
#> 3EEB805B-3DC3-47AD-9D83-672D39333B8F 4 0.3636 0.67119 0.000 0.000 0.000 0.728 0.272
#> ECC99215-F4FB-40D3-A44D-549D681F0CAD 3 0.1341 0.69239 0.000 0.000 0.944 0.000 0.056
#> ED242FAE-14D1-4804-9C96-281197D485A4 4 0.4003 0.64658 0.000 0.000 0.008 0.704 0.288
#> 3BB9FC05-3230-4C65-9259-ED8FE65AD473 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> 57C51F55-9F3A-44F0-99DB-EE3557C04373 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 90F8EB31-A33C-4434-90FC-B6721774D68C 4 0.3684 0.66205 0.000 0.000 0.000 0.720 0.280
#> 6516F0BC-00E2-40E6-9B9D-420F0DA30FA5 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> 0CCE788F-74E5-4562-82EA-EB39912298E4 2 0.4304 -0.44469 0.000 0.516 0.000 0.000 0.484
#> 1B2E1531-7C1F-4BAF-BC45-42425B7B8891 5 0.5205 0.59436 0.000 0.104 0.224 0.000 0.672
#> 1CA3C03E-20A1-401E-BE97-12D0E506AFB8 4 0.6555 0.30293 0.268 0.000 0.000 0.476 0.256
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#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0162 0.62559 0.004 0.996 0.000 0.000 0.000
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.2144 0.61718 0.068 0.912 0.000 0.000 0.020
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 5 0.5851 0.60311 0.000 0.340 0.000 0.112 0.548
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 4 0.2897 0.80914 0.000 0.024 0.020 0.884 0.072
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 5 0.3932 0.49616 0.000 0.000 0.328 0.000 0.672
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.1341 0.69239 0.000 0.000 0.944 0.000 0.056
#> 420503AA-3799-4816-BEEC-0B4D05988D38 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.2966 0.72021 0.816 0.000 0.000 0.184 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.3109 0.48741 0.000 0.800 0.000 0.000 0.200
#> E1F863F8-90F0-402C-8433-95F522DDCE63 4 0.4045 0.39482 0.356 0.000 0.000 0.644 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.1478 0.85180 0.936 0.000 0.000 0.064 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 4 0.7862 -0.19062 0.000 0.228 0.076 0.376 0.320
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 4 0.1469 0.83868 0.036 0.016 0.000 0.948 0.000
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 5 0.3932 0.49616 0.000 0.000 0.328 0.000 0.672
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 5 0.4291 0.67140 0.000 0.464 0.000 0.000 0.536
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.2377 0.49909 0.000 0.872 0.000 0.000 0.128
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> B232056E-59B2-4D05-983D-8740D6994A71 5 0.5305 0.66382 0.000 0.196 0.132 0.000 0.672
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 5 0.3932 0.49616 0.000 0.000 0.328 0.000 0.672
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.2605 0.55932 0.000 0.852 0.000 0.000 0.148
#> 000F8487-E841-4370-B958-85AB3A6D88F9 3 0.2424 0.61320 0.000 0.000 0.868 0.000 0.132
#> B822A426-98C1-4976-9FC2-16347992AD78 4 0.3684 0.66205 0.000 0.000 0.000 0.720 0.280
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.1270 0.61168 0.000 0.948 0.000 0.000 0.052
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.2929 0.72496 0.820 0.000 0.000 0.180 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.1341 0.60513 0.000 0.944 0.000 0.000 0.056
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.4329 0.75249 0.000 0.000 0.672 0.016 0.312
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.0963 0.70996 0.000 0.000 0.964 0.000 0.036
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.3368 0.56829 0.156 0.820 0.000 0.000 0.024
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.5551 0.31120 0.000 0.612 0.000 0.104 0.284
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.4576 0.20819 0.376 0.608 0.000 0.016 0.000
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.3375 0.61197 0.048 0.860 0.000 0.020 0.072
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 5 0.4251 0.51298 0.000 0.012 0.316 0.000 0.672
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 4 0.4498 0.62787 0.000 0.000 0.032 0.688 0.280
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 4 0.6853 0.39724 0.044 0.136 0.000 0.532 0.288
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 4 0.2971 0.77215 0.000 0.000 0.008 0.836 0.156
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.5956 0.44817 0.000 0.564 0.000 0.140 0.296
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 197E34CA-EF43-495C-8AA4-858982333429 4 0.6640 0.32424 0.232 0.004 0.000 0.484 0.280
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.3480 0.62716 0.752 0.000 0.000 0.248 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 4 0.4086 0.64610 0.000 0.000 0.012 0.704 0.284
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.5776 0.24123 0.000 0.588 0.124 0.000 0.288
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.1544 0.61497 0.000 0.932 0.000 0.000 0.068
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.3949 0.50070 0.668 0.000 0.000 0.332 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 5 0.4297 0.62246 0.000 0.472 0.000 0.000 0.528
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 4 0.2488 0.79885 0.004 0.000 0.000 0.872 0.124
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 4 0.3730 0.65437 0.000 0.000 0.000 0.712 0.288
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.4538 0.16976 0.008 0.540 0.000 0.452 0.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.1430 0.62164 0.004 0.944 0.000 0.000 0.052
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 5 0.4262 0.69894 0.000 0.440 0.000 0.000 0.560
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.4150 -0.30495 0.000 0.612 0.000 0.000 0.388
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.71554 0.000 0.000 1.000 0.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.2863 0.60826 0.000 0.876 0.060 0.000 0.064
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 4 0.4347 0.66569 0.000 0.012 0.012 0.712 0.264
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 2 0.6835 0.18419 0.000 0.476 0.012 0.224 0.288
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.5256 0.12493 0.000 0.532 0.000 0.420 0.048
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 5 0.4151 0.76720 0.000 0.344 0.000 0.004 0.652
#> 8DBE419E-A360-4493-AC3B-C145887D9237 4 0.6204 0.34362 0.000 0.000 0.176 0.536 0.288
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.2873 0.58308 0.000 0.860 0.020 0.000 0.120
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0609 0.88287 0.980 0.000 0.000 0.020 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0404 0.71259 0.000 0.000 0.988 0.000 0.012
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.4201 0.30563 0.592 0.000 0.000 0.408 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.2966 0.70653 0.184 0.000 0.000 0.816 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> 73D9833A-5E24-47D9-B193-22A66A282669 2 0.6598 0.31362 0.008 0.508 0.012 0.124 0.348
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.2853 0.61914 0.052 0.876 0.000 0.000 0.072
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 4 0.6685 -0.00594 0.000 0.000 0.284 0.436 0.280
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.4210 0.35994 0.000 0.000 0.412 0.000 0.588
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.4249 0.32588 0.000 0.000 0.432 0.000 0.568
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.4210 0.36102 0.000 0.000 0.412 0.000 0.588
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.1341 0.69239 0.000 0.000 0.944 0.000 0.056
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.0955 0.84956 0.004 0.028 0.000 0.968 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.3949 0.49051 0.000 0.000 0.332 0.000 0.668
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.3480 0.64320 0.752 0.000 0.000 0.248 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.2707 0.58674 0.000 0.860 0.008 0.000 0.132
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.4088 0.43954 0.000 0.000 0.368 0.000 0.632
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.1043 0.87003 0.960 0.000 0.000 0.040 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.5245 0.70620 0.000 0.064 0.608 0.000 0.328
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.2561 0.55223 0.000 0.856 0.000 0.000 0.144
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0404 0.71060 0.000 0.000 0.988 0.000 0.012
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.1608 0.84575 0.928 0.072 0.000 0.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0609 0.88365 0.980 0.000 0.000 0.020 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.5618 0.72264 0.000 0.000 0.608 0.112 0.280
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.1341 0.69239 0.000 0.000 0.944 0.000 0.056
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.89499 1.000 0.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.3586 0.68002 0.000 0.000 0.000 0.736 0.264
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.2074 0.59497 0.000 0.896 0.000 0.000 0.104
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.4540 0.74887 0.000 0.320 0.024 0.000 0.656
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.2438 0.80157 0.000 0.000 0.040 0.900 0.060
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.4541 0.73189 0.000 0.288 0.032 0.000 0.680
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.6227 0.64457 0.000 0.000 0.536 0.184 0.280
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.5652 0.49158 0.660 0.052 0.000 0.044 0.244
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.3999 0.76996 0.000 0.344 0.000 0.000 0.656
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.4109 0.64168 0.000 0.000 0.012 0.700 0.288
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 5 0.4171 0.73056 0.000 0.396 0.000 0.000 0.604
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0000 0.86553 0.000 0.000 0.000 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.1928 0.63002 0.004 0.920 0.000 0.004 0.072
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.1267 0.72401 0.060 0.940 0.000 0.000 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 6 0.3706 0.48163 0.000 0.000 0.000 0.380 0.000 0.620
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.0000 0.80052 0.000 0.000 0.000 0.000 1.000 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.1141 0.86278 0.948 0.000 0.000 0.052 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.0000 0.88230 0.000 0.000 0.000 1.000 0.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.3860 -0.23332 0.000 0.000 0.000 0.528 0.000 0.472
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.2219 0.77704 0.000 0.000 0.000 0.864 0.000 0.136
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 6 0.2933 0.56880 0.000 0.004 0.000 0.000 0.200 0.796
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.0000 0.80052 0.000 0.000 0.000 0.000 1.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.3446 0.53903 0.692 0.000 0.000 0.308 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.2520 0.63695 0.000 0.844 0.004 0.000 0.152 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.2653 0.74238 0.000 0.012 0.144 0.844 0.000 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.0000 0.80052 0.000 0.000 0.000 0.000 1.000 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 6 0.3684 0.60174 0.000 0.000 0.000 0.372 0.000 0.628
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.89772 1.000 0.000 0.000 0.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.4003 0.67897 0.124 0.000 0.000 0.760 0.000 0.116
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0000 0.88230 0.000 0.000 0.000 1.000 0.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.0000 0.80052 0.000 0.000 0.000 0.000 1.000 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 6 0.5173 0.65136 0.000 0.160 0.000 0.224 0.000 0.616
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.1141 0.86204 0.948 0.000 0.000 0.052 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 5 0.4067 0.59895 0.000 0.000 0.000 0.144 0.752 0.104
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#> 420503AA-3799-4816-BEEC-0B4D05988D38 5 0.0000 0.80052 0.000 0.000 0.000 0.000 1.000 0.000
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.2664 0.71220 0.816 0.000 0.000 0.184 0.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.89772 1.000 0.000 0.000 0.000 0.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 5 0.2994 0.66320 0.000 0.208 0.000 0.000 0.788 0.004
#> E1F863F8-90F0-402C-8433-95F522DDCE63 4 0.3620 0.40787 0.352 0.000 0.000 0.648 0.000 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.1141 0.86204 0.948 0.000 0.000 0.052 0.000 0.000
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#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 4 0.3458 0.75541 0.032 0.028 0.000 0.824 0.000 0.116
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 3 0.3531 0.63078 0.000 0.000 0.672 0.000 0.328 0.000
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 5 0.3081 0.68516 0.000 0.220 0.004 0.000 0.776 0.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.2100 0.69511 0.000 0.884 0.004 0.000 0.112 0.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 4 0.1957 0.79514 0.000 0.000 0.000 0.888 0.000 0.112
#> B232056E-59B2-4D05-983D-8740D6994A71 5 0.3578 0.34923 0.000 0.000 0.340 0.000 0.660 0.000
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 3 0.3531 0.63078 0.000 0.000 0.672 0.000 0.328 0.000
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 5 0.2996 0.64575 0.000 0.228 0.000 0.000 0.772 0.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 3 0.5227 0.69330 0.000 0.000 0.612 0.000 0.188 0.200
#> B822A426-98C1-4976-9FC2-16347992AD78 6 0.3717 0.58575 0.000 0.000 0.000 0.384 0.000 0.616
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.3944 -0.05358 0.000 0.568 0.004 0.000 0.428 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.2664 0.71272 0.816 0.000 0.000 0.184 0.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0603 0.73470 0.000 0.980 0.004 0.000 0.016 0.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 6 0.1204 0.63613 0.000 0.000 0.056 0.000 0.000 0.944
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 5 0.0000 0.80052 0.000 0.000 0.000 0.000 1.000 0.000
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.3175 0.64511 0.000 0.000 0.744 0.000 0.000 0.256
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.3775 0.67595 0.128 0.780 0.000 0.000 0.092 0.000
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.0000 0.88230 0.000 0.000 0.000 1.000 0.000 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.0551 0.73306 0.000 0.984 0.004 0.004 0.000 0.008
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.0405 0.73355 0.008 0.988 0.004 0.000 0.000 0.000
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 5 0.0291 0.80064 0.000 0.004 0.004 0.000 0.992 0.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.4532 0.11076 0.000 0.500 0.000 0.000 0.468 0.032
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 3 0.4827 0.58123 0.000 0.000 0.620 0.000 0.296 0.084
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#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 5 0.0146 0.80069 0.000 0.000 0.004 0.000 0.996 0.000
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#> 197E34CA-EF43-495C-8AA4-858982333429 6 0.4990 0.64138 0.108 0.000 0.000 0.276 0.000 0.616
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 4 0.0000 0.88230 0.000 0.000 0.000 1.000 0.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.4771 0.52815 0.664 0.116 0.000 0.220 0.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 6 0.2664 0.69480 0.000 0.000 0.000 0.184 0.000 0.816
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 6 0.4084 0.33396 0.000 0.400 0.000 0.000 0.012 0.588
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.89772 1.000 0.000 0.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 4 0.0000 0.88230 0.000 0.000 0.000 1.000 0.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.3966 0.01130 0.000 0.552 0.004 0.000 0.444 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.3547 0.51239 0.668 0.000 0.000 0.332 0.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 5 0.2278 0.76719 0.000 0.128 0.004 0.000 0.868 0.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 4 0.3409 0.40733 0.000 0.000 0.000 0.700 0.000 0.300
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 4 0.0000 0.88230 0.000 0.000 0.000 1.000 0.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 6 0.3717 0.58575 0.000 0.000 0.000 0.384 0.000 0.616
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.2738 0.61499 0.004 0.820 0.000 0.176 0.000 0.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.3136 0.67360 0.000 0.796 0.000 0.000 0.188 0.016
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 5 0.3052 0.68741 0.000 0.216 0.004 0.000 0.780 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 4 0.2003 0.79199 0.000 0.000 0.000 0.884 0.000 0.116
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.0000 0.80052 0.000 0.000 0.000 0.000 1.000 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.0000 0.88230 0.000 0.000 0.000 1.000 0.000 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 5 0.3489 0.63587 0.000 0.288 0.004 0.000 0.708 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.3101 0.64943 0.000 0.000 0.756 0.000 0.000 0.244
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.3943 0.67171 0.000 0.776 0.076 0.000 0.140 0.008
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 6 0.4135 0.59970 0.000 0.000 0.000 0.300 0.032 0.668
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 6 0.4792 0.67786 0.000 0.132 0.000 0.200 0.000 0.668
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.4593 0.59279 0.000 0.756 0.004 0.080 0.044 0.116
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 5 0.0000 0.80052 0.000 0.000 0.000 0.000 1.000 0.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 6 0.2854 0.68274 0.000 0.000 0.000 0.208 0.000 0.792
#> A6C06064-8194-4DFB-9262-A30E63DB2514 5 0.4931 0.49147 0.000 0.216 0.000 0.000 0.648 0.136
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0547 0.88546 0.980 0.000 0.000 0.020 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.3266 0.63342 0.000 0.000 0.728 0.000 0.000 0.272
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.3774 0.29875 0.592 0.000 0.000 0.408 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.89772 1.000 0.000 0.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.2597 0.70139 0.176 0.000 0.000 0.824 0.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.0000 0.80052 0.000 0.000 0.000 0.000 1.000 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 6 0.5799 0.58419 0.004 0.132 0.000 0.072 0.144 0.648
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.3582 0.66134 0.000 0.768 0.000 0.000 0.196 0.036
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.89772 1.000 0.000 0.000 0.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 6 0.2854 0.69089 0.000 0.000 0.000 0.208 0.000 0.792
#> 5663C145-B465-4509-BA9A-1A40584952BD 3 0.3531 0.63078 0.000 0.000 0.672 0.000 0.328 0.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.3175 0.67669 0.000 0.000 0.744 0.000 0.256 0.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.3499 0.63709 0.000 0.000 0.680 0.000 0.320 0.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0937 0.71539 0.000 0.000 0.960 0.000 0.000 0.040
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.3769 0.42515 0.004 0.356 0.000 0.640 0.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.0000 0.88230 0.000 0.000 0.000 1.000 0.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.0000 0.88230 0.000 0.000 0.000 1.000 0.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.0000 0.88230 0.000 0.000 0.000 1.000 0.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 3 0.3531 0.63078 0.000 0.000 0.672 0.000 0.328 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.89772 1.000 0.000 0.000 0.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.0000 0.80052 0.000 0.000 0.000 0.000 1.000 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.3175 0.64008 0.744 0.000 0.000 0.256 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 5 0.3023 0.64095 0.000 0.232 0.000 0.000 0.768 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.3547 0.62678 0.000 0.000 0.668 0.000 0.332 0.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0146 0.89567 0.996 0.000 0.000 0.004 0.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0713 0.87988 0.972 0.000 0.000 0.028 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 6 0.2730 0.55640 0.000 0.192 0.000 0.000 0.000 0.808
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.89772 1.000 0.000 0.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 5 0.2883 0.66351 0.000 0.212 0.000 0.000 0.788 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.89772 1.000 0.000 0.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.2941 0.66930 0.000 0.000 0.780 0.000 0.000 0.220
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.89772 1.000 0.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 2 0.3838 0.22326 0.448 0.552 0.000 0.000 0.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.2946 0.73699 0.812 0.000 0.000 0.012 0.000 0.176
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.89772 1.000 0.000 0.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 6 0.0865 0.66428 0.000 0.000 0.000 0.036 0.000 0.964
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0937 0.71539 0.000 0.000 0.960 0.000 0.000 0.040
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.89772 1.000 0.000 0.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.0000 0.80052 0.000 0.000 0.000 0.000 1.000 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 6 0.3817 0.49458 0.000 0.000 0.000 0.432 0.000 0.568
#> B013515B-3825-40E0-9854-04EC0AFE600D 5 0.4855 0.49427 0.000 0.256 0.000 0.000 0.640 0.104
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.2848 0.65525 0.000 0.008 0.176 0.000 0.816 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.4646 0.43529 0.000 0.000 0.324 0.616 0.000 0.060
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.3076 0.56230 0.000 0.000 0.240 0.000 0.760 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 6 0.0260 0.65313 0.000 0.000 0.000 0.008 0.000 0.992
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0000 0.88230 0.000 0.000 0.000 1.000 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.5007 -0.07913 0.484 0.028 0.000 0.024 0.000 0.464
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.0000 0.88230 0.000 0.000 0.000 1.000 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.0363 0.79832 0.000 0.000 0.000 0.000 0.988 0.012
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 6 0.2969 0.70033 0.000 0.000 0.000 0.224 0.000 0.776
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 5 0.0508 0.79992 0.000 0.012 0.004 0.000 0.984 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.0000 0.88230 0.000 0.000 0.000 1.000 0.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0000 0.88230 0.000 0.000 0.000 1.000 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.4393 0.14487 0.000 0.524 0.000 0.000 0.452 0.024
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
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 17416 rows and 433 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.482 0.744 0.877 0.4683 0.508 0.508
#> 3 3 0.566 0.690 0.861 0.3636 0.784 0.594
#> 4 4 0.550 0.624 0.778 0.1222 0.880 0.673
#> 5 5 0.558 0.449 0.712 0.0548 0.903 0.685
#> 6 6 0.576 0.310 0.665 0.0174 0.901 0.668
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.9128 0.000 1.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.9580 0.5398 0.620 0.380
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0938 0.9100 0.012 0.988
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.8007 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.7453 0.7028 0.788 0.212
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.9129 0.6028 0.672 0.328
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.9427 0.5658 0.640 0.360
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 1 0.9922 0.4334 0.552 0.448
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.9128 0.000 1.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.8007 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9128 0.000 1.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.8608 0.5891 0.284 0.716
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.9128 0.000 1.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.9000 0.6156 0.684 0.316
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.8007 1.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.8007 1.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0000 0.8007 1.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.9128 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.9795 0.4878 0.584 0.416
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.8007 1.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.4298 0.8548 0.088 0.912
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.9909 0.4409 0.556 0.444
#> C1323790-6C24-4E54-A266-AE66588C1DD5 1 0.9922 0.4334 0.552 0.448
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0376 0.7998 0.996 0.004
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.9128 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.8007 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.8608 0.5891 0.284 0.716
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.8443 0.6124 0.272 0.728
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.9129 0.6028 0.672 0.328
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0672 0.9110 0.008 0.992
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.9129 0.6028 0.672 0.328
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.8007 1.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.8007 1.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 1 0.9922 0.4334 0.552 0.448
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.8007 1.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 1 0.9922 0.4334 0.552 0.448
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.9754 0.5009 0.592 0.408
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.8007 1.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.8007 1.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.8007 1.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.9128 0.000 1.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9128 0.000 1.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.8007 1.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.8007 1.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.8007 1.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.8007 1.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 1 0.9922 0.4334 0.552 0.448
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.9128 0.000 1.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0672 0.9110 0.008 0.992
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.8007 1.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.9128 0.000 1.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.8007 1.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.9128 0.000 1.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.3879 0.8671 0.076 0.924
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 1 0.9944 0.4142 0.544 0.456
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0000 0.9128 0.000 1.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.7815 0.6886 0.768 0.232
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.8007 1.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.0000 0.9128 0.000 1.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.9128 0.000 1.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 1 0.9922 0.4334 0.552 0.448
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.8007 1.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.9128 0.000 1.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.1184 0.9089 0.016 0.984
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.9128 0.000 1.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 1 0.9922 0.4334 0.552 0.448
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.0000 0.9128 0.000 1.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 1 0.9922 0.4334 0.552 0.448
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.2948 0.8863 0.052 0.948
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 2 0.8499 0.6049 0.276 0.724
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.9128 0.000 1.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 1 0.9922 0.4334 0.552 0.448
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.9866 0.4618 0.568 0.432
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0000 0.8007 1.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.9128 0.000 1.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 1 0.9922 0.4334 0.552 0.448
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.9128 0.000 1.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 2 0.8555 0.5972 0.280 0.720
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0000 0.8007 1.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0000 0.8007 1.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.0000 0.9128 0.000 1.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.9128 0.000 1.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 2 0.8608 0.5891 0.284 0.716
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0000 0.8007 1.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 1 0.9922 0.4334 0.552 0.448
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0000 0.8007 1.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 2 0.9996 -0.2596 0.488 0.512
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 2 0.8608 0.5891 0.284 0.716
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.1184 0.7966 0.984 0.016
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.8007 1.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0000 0.9128 0.000 1.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 1 0.9129 0.6028 0.672 0.328
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 2 0.8608 0.5891 0.284 0.716
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.7376 0.7055 0.792 0.208
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.6438 0.7324 0.836 0.164
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.0000 0.8007 1.000 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.0000 0.8007 1.000 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.1184 0.9089 0.016 0.984
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.5519 0.7517 0.872 0.128
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0000 0.9128 0.000 1.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 2 0.5294 0.8219 0.120 0.880
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#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 2 0.6048 0.7875 0.148 0.852
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#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 0.9128 0.000 1.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 1 0.9129 0.6028 0.672 0.328
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#> B54317C9-8704-42A6-BE96-E12855874596 2 0.3879 0.8671 0.076 0.924
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#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.0000 0.9128 0.000 1.000
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#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.0000 0.9128 0.000 1.000
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#> EB235E9A-E453-4108-AD4F-31260F4340A6 1 0.9129 0.6028 0.672 0.328
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 1 0.0000 0.8007 1.000 0.000
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 1 0.9922 0.4334 0.552 0.448
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.0000 0.8007 1.000 0.000
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 1 0.0000 0.8007 1.000 0.000
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 1 0.0000 0.8007 1.000 0.000
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 1 0.9944 0.4142 0.544 0.456
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 1 0.9922 0.4334 0.552 0.448
#> 94128D59-A5BB-4460-A671-5E1571726C4D 2 0.9635 0.1526 0.388 0.612
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#> C65B6272-DD2B-4075-963B-746F8904B395 2 0.0000 0.9128 0.000 1.000
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#> 3EEB805B-3DC3-47AD-9D83-672D39333B8F 1 0.9248 0.5897 0.660 0.340
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#> 0CCE788F-74E5-4562-82EA-EB39912298E4 2 0.0000 0.9128 0.000 1.000
#> 1B2E1531-7C1F-4BAF-BC45-42425B7B8891 2 0.1184 0.9089 0.016 0.984
#> 1CA3C03E-20A1-401E-BE97-12D0E506AFB8 1 0.0000 0.8007 1.000 0.000
#> C3C5472C-21A7-4F22-AEE7-514902873770 2 0.1184 0.9089 0.016 0.984
#> 63351C27-1DF5-45FD-A08F-6AD2B2AF8BBF 1 0.1184 0.7965 0.984 0.016
#> E6982FF2-C754-4998-8C38-83CAA07151B4 1 0.0000 0.8007 1.000 0.000
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#> F12BD7C5-699C-4F80-B02C-CFA9D8BBD99C 1 0.5629 0.7501 0.868 0.132
#> ED8A6EE1-399E-444C-BEA5-1B32AAF46334 2 0.0000 0.9128 0.000 1.000
#> F0E550CA-CB04-4202-9AEA-EAE1C295EB6E 1 0.0000 0.8007 1.000 0.000
#> 80F493DC-D202-4FB0-803B-3A4FA2C85824 1 0.9129 0.6028 0.672 0.328
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#> BB8A3F9E-830A-45E2-A1EC-50020C63A7C9 2 0.1184 0.9089 0.016 0.984
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#> 69D6650D-0188-4FA7-B934-3FC0D36F9CAA 2 0.0000 0.9128 0.000 1.000
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#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.8081 0.6766 0.752 0.248
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.9754 0.5000 0.592 0.408
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.7453 0.7115 0.212 0.788
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.0000 0.9128 0.000 1.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.9128 0.000 1.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.7602 0.6973 0.780 0.220
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.9128 0.000 1.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.9129 0.6028 0.672 0.328
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.9128 0.000 1.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 1 0.9922 0.4334 0.552 0.448
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.9128 0.000 1.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 1 0.9866 0.4618 0.568 0.432
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.9922 0.4334 0.552 0.448
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.9128 0.000 1.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.1184 0.9089 0.016 0.984
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.9922 0.4334 0.552 0.448
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.9128 0.000 1.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.8007 1.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.9988 -0.2140 0.480 0.520
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.8007 1.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.8007 1.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.8007 1.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.9128 0.000 1.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.9732 0.5060 0.596 0.404
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.9128 0.000 1.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.8007 1.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.9922 0.4334 0.552 0.448
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.1184 0.9089 0.016 0.984
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.1184 0.9089 0.016 0.984
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.1184 0.9089 0.016 0.984
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.4690 0.8452 0.100 0.900
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 2 0.8813 0.5471 0.300 0.700
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.8007 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.8007 1.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.8007 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.1184 0.9089 0.016 0.984
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.8007 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.9128 0.000 1.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.8007 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.9128 0.000 1.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.1184 0.9089 0.016 0.984
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.8007 1.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.8007 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 1 0.9944 0.4142 0.544 0.456
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.8007 1.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.9128 0.000 1.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.8007 1.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.4815 0.8412 0.104 0.896
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.8007 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 2 0.9635 0.3529 0.388 0.612
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.6623 0.7701 0.172 0.828
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.8007 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 1 0.9922 0.4334 0.552 0.448
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.4690 0.8452 0.100 0.900
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.8007 1.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.9128 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0938 0.7978 0.988 0.012
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.9128 0.000 1.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.9128 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.8443 0.6126 0.272 0.728
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.1184 0.9089 0.016 0.984
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 1 0.9922 0.4334 0.552 0.448
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.8007 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.8007 1.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.8007 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.1184 0.9089 0.016 0.984
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.9850 0.4686 0.572 0.428
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.9128 0.000 1.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.4562 0.7663 0.904 0.096
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.8007 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.9128 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0424 0.7824 0.000 0.992 0.008
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.4452 0.7049 0.192 0.000 0.808
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0747 0.7809 0.000 0.984 0.016
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.8934 1.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 3 0.6291 0.1051 0.468 0.000 0.532
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.5016 0.6128 0.240 0.000 0.760
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.1411 0.7939 0.036 0.000 0.964
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.0237 0.7977 0.004 0.000 0.996
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.7838 0.000 1.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.8934 1.000 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.7838 0.000 1.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.9601 0.2787 0.224 0.464 0.312
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.7838 0.000 1.000 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.4796 0.6733 0.220 0.000 0.780
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.1860 0.8572 0.948 0.000 0.052
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.1411 0.8742 0.964 0.000 0.036
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.3038 0.8117 0.896 0.000 0.104
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.7838 0.000 1.000 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.3816 0.7438 0.148 0.000 0.852
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0592 0.8881 0.988 0.000 0.012
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.7775 0.5518 0.076 0.620 0.304
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.4002 0.7344 0.160 0.000 0.840
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0237 0.7977 0.004 0.000 0.996
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.8934 1.000 0.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.7838 0.000 1.000 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.8934 1.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.9589 0.2783 0.220 0.464 0.316
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.9589 0.2783 0.220 0.464 0.316
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.1753 0.7909 0.048 0.000 0.952
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.5706 0.6131 0.000 0.680 0.320
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.4750 0.6786 0.216 0.000 0.784
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.8934 1.000 0.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.8934 1.000 0.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.0237 0.7977 0.004 0.000 0.996
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.8934 1.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.0424 0.7975 0.008 0.000 0.992
#> 333F9855-9462-46B8-87C8-E9B01572C101 3 0.5202 0.6720 0.220 0.008 0.772
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.2261 0.8486 0.932 0.000 0.068
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.8934 1.000 0.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.8934 1.000 0.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.7838 0.000 1.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.7838 0.000 1.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.8934 1.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.4121 0.7361 0.832 0.000 0.168
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.8934 1.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.8934 1.000 0.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0237 0.7977 0.004 0.000 0.996
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.7838 0.000 1.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.2537 0.7647 0.000 0.920 0.080
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.8934 1.000 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.7838 0.000 1.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0237 0.8915 0.996 0.000 0.004
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.7838 0.000 1.000 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.8043 0.4287 0.072 0.556 0.372
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0237 0.7977 0.004 0.000 0.996
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.5327 0.6688 0.000 0.728 0.272
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.4504 0.7293 0.804 0.000 0.196
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.8934 1.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.5098 0.6902 0.000 0.752 0.248
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.7838 0.000 1.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.0237 0.7977 0.004 0.000 0.996
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.8934 1.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.7838 0.000 1.000 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.5254 0.6799 0.000 0.736 0.264
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.7838 0.000 1.000 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0237 0.7977 0.004 0.000 0.996
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.4654 0.7078 0.000 0.792 0.208
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0237 0.7977 0.004 0.000 0.996
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.7937 0.4562 0.068 0.568 0.364
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 2 0.9601 0.2787 0.224 0.464 0.312
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.7838 0.000 1.000 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.0237 0.7977 0.004 0.000 0.996
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.0237 0.7977 0.004 0.000 0.996
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0000 0.8934 1.000 0.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.7838 0.000 1.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0237 0.7977 0.004 0.000 0.996
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.3879 0.7392 0.000 0.848 0.152
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 2 0.9601 0.2787 0.224 0.464 0.312
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0000 0.8934 1.000 0.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0000 0.8934 1.000 0.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.5178 0.6845 0.000 0.744 0.256
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.7838 0.000 1.000 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 2 0.9613 0.2781 0.228 0.464 0.308
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0000 0.8934 1.000 0.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0237 0.7977 0.004 0.000 0.996
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0000 0.8934 1.000 0.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.0237 0.7977 0.004 0.000 0.996
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 2 0.9623 0.2779 0.232 0.464 0.304
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 3 0.6126 0.3391 0.400 0.000 0.600
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.8934 1.000 0.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0000 0.7838 0.000 1.000 0.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 3 0.2959 0.7722 0.100 0.000 0.900
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 2 0.9615 0.2495 0.220 0.456 0.324
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.5926 0.4604 0.644 0.000 0.356
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.6295 0.0980 0.528 0.000 0.472
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.0000 0.8934 1.000 0.000 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.0000 0.8934 1.000 0.000 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.5254 0.6799 0.000 0.736 0.264
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.5254 0.6212 0.736 0.000 0.264
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0000 0.7838 0.000 1.000 0.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 2 0.7850 0.5281 0.076 0.608 0.316
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.5785 0.5956 0.000 0.668 0.332
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.6286 -0.2050 0.000 0.464 0.536
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 3 0.0424 0.7974 0.008 0.000 0.992
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 0.7838 0.000 1.000 0.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 3 0.5360 0.6709 0.220 0.012 0.768
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#> EEDFA1F7-26D8-426A-93F5-43CCF0B3CF59 2 0.0000 0.7838 0.000 1.000 0.000
#> 2C26486A-A737-4B2F-9D98-28A700081CDA 2 0.0000 0.7838 0.000 1.000 0.000
#> 458FCE33-422D-4C4C-A9CF-ABFED8B19D4A 2 0.0000 0.7838 0.000 1.000 0.000
#> A66FCDA9-6775-4052-94C4-12E173DF4084 1 0.9885 -0.1492 0.408 0.284 0.308
#> E3F52C71-F558-47C7-B956-BC79F98EFD5D 3 0.6286 -0.2050 0.000 0.464 0.536
#> 82C75B87-33D1-4317-AC48-7043A3D677EC 3 0.0237 0.7977 0.004 0.000 0.996
#> E4DB5591-7C73-4792-B86F-3B2FB59C66BD 2 0.0000 0.7838 0.000 1.000 0.000
#> FEF62FF9-F25E-49A7-B1E4-84099D13A309 2 0.8091 0.5071 0.088 0.592 0.320
#> 3D6CE155-4E02-4739-A8C9-30981EA9B0B1 1 0.0000 0.8934 1.000 0.000 0.000
#> 0A3AB174-07D0-4396-A6C5-9ECEEBE8651C 1 0.3752 0.7571 0.856 0.000 0.144
#> 86ACC3DD-A9E8-4FDA-ACF9-33175CE06629 1 0.0424 0.8899 0.992 0.000 0.008
#> A3150223-5399-4CC6-90A7-6046F39FAC3E 2 0.0000 0.7838 0.000 1.000 0.000
#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 1 0.0000 0.8934 1.000 0.000 0.000
#> 99D8A9E2-773C-4142-9A93-5F749961F712 1 0.0892 0.8848 0.980 0.000 0.020
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 3 0.0237 0.7977 0.004 0.000 0.996
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 1 0.6180 0.2727 0.584 0.000 0.416
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 3 0.0237 0.7977 0.004 0.000 0.996
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 3 0.6244 0.1779 0.440 0.000 0.560
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 2 0.0000 0.7838 0.000 1.000 0.000
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 2 0.6962 0.5748 0.036 0.648 0.316
#> 14003AA2-81B6-4143-98AD-124903BAE56B 1 0.0000 0.8934 1.000 0.000 0.000
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.5835 0.4308 0.660 0.000 0.340
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0000 0.7838 0.000 1.000 0.000
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.4121 0.7327 0.000 0.832 0.168
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.0000 0.7838 0.000 1.000 0.000
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 3 0.5756 0.6051 0.028 0.208 0.764
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 3 0.6372 0.6369 0.068 0.176 0.756
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.0000 0.8934 1.000 0.000 0.000
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0000 0.8934 1.000 0.000 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 2 0.5327 0.6720 0.000 0.728 0.272
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.6286 -0.2050 0.000 0.464 0.536
#> 420503AA-3799-4816-BEEC-0B4D05988D38 2 0.0237 0.7832 0.000 0.996 0.004
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0000 0.8934 1.000 0.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.1753 0.8600 0.952 0.000 0.048
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.0000 0.7838 0.000 1.000 0.000
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0000 0.8934 1.000 0.000 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0000 0.8934 1.000 0.000 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.8793 0.4439 0.140 0.552 0.308
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 2 0.9678 0.1580 0.216 0.420 0.364
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.5216 0.6830 0.000 0.740 0.260
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.7838 0.000 1.000 0.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.7838 0.000 1.000 0.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.6225 0.2643 0.568 0.000 0.432
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.5254 0.6799 0.000 0.736 0.264
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.5098 0.6910 0.000 0.752 0.248
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0000 0.7838 0.000 1.000 0.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 2 0.5216 0.6830 0.000 0.740 0.260
#> B822A426-98C1-4976-9FC2-16347992AD78 3 0.1411 0.7938 0.036 0.000 0.964
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.7838 0.000 1.000 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0000 0.8934 1.000 0.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.7838 0.000 1.000 0.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.0237 0.7977 0.004 0.000 0.996
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.0000 0.7838 0.000 1.000 0.000
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.6305 -0.2537 0.000 0.484 0.516
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.5216 0.6696 0.000 0.740 0.260
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.0424 0.8899 0.992 0.000 0.008
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.6632 0.6401 0.036 0.692 0.272
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.5650 0.6213 0.000 0.688 0.312
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0000 0.7838 0.000 1.000 0.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.9364 0.2339 0.172 0.456 0.372
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 2 0.5254 0.6799 0.000 0.736 0.264
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.0237 0.7977 0.004 0.000 0.996
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.4842 0.7043 0.000 0.776 0.224
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.6228 0.3478 0.624 0.004 0.372
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 3 0.4702 0.6829 0.212 0.000 0.788
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 3 0.4399 0.7088 0.188 0.000 0.812
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.8934 1.000 0.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.6286 0.1265 0.536 0.000 0.464
#> 197E34CA-EF43-495C-8AA4-858982333429 3 0.5431 0.5902 0.284 0.000 0.716
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.8934 1.000 0.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.5988 0.3643 0.632 0.000 0.368
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 3 0.2448 0.7822 0.076 0.000 0.924
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 3 0.7188 -0.2759 0.024 0.488 0.488
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.8934 1.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0592 0.8881 0.988 0.000 0.012
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.7838 0.000 1.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.8934 1.000 0.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.4121 0.7320 0.000 0.832 0.168
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 3 0.6154 0.3320 0.408 0.000 0.592
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 3 0.6309 0.0387 0.500 0.000 0.500
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 3 0.1289 0.7907 0.032 0.000 0.968
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.9561 0.2805 0.216 0.468 0.316
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.3941 0.7320 0.000 0.844 0.156
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.7838 0.000 1.000 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 3 0.5497 0.5758 0.292 0.000 0.708
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.7838 0.000 1.000 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 3 0.6753 0.3776 0.388 0.016 0.596
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.7838 0.000 1.000 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0237 0.7977 0.004 0.000 0.996
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.7838 0.000 1.000 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.1860 0.7898 0.052 0.000 0.948
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 3 0.4062 0.7309 0.164 0.000 0.836
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.5480 0.6748 0.004 0.732 0.264
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.5733 0.6078 0.000 0.676 0.324
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.0237 0.7977 0.004 0.000 0.996
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.1964 0.7576 0.000 0.944 0.056
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.8934 1.000 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0237 0.7977 0.004 0.000 0.996
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.8934 1.000 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0747 0.8840 0.984 0.000 0.016
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.8934 1.000 0.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.7838 0.000 1.000 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.5360 0.6722 0.220 0.012 0.768
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.2959 0.7501 0.000 0.900 0.100
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.5810 0.4405 0.664 0.000 0.336
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.0237 0.7977 0.004 0.000 0.996
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.5254 0.6799 0.000 0.736 0.264
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.5254 0.6799 0.000 0.736 0.264
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.5254 0.6799 0.000 0.736 0.264
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.6286 -0.2050 0.000 0.464 0.536
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 3 0.9989 0.0594 0.324 0.320 0.356
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.8934 1.000 0.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0424 0.8899 0.992 0.000 0.008
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.8934 1.000 0.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.5216 0.6830 0.000 0.740 0.260
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.3482 0.7772 0.872 0.000 0.128
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.7838 0.000 1.000 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.8934 1.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.7838 0.000 1.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.5254 0.6799 0.000 0.736 0.264
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.5785 0.4989 0.668 0.000 0.332
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.8934 1.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0237 0.7977 0.004 0.000 0.996
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0237 0.8915 0.996 0.000 0.004
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.7838 0.000 1.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.8934 1.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.6148 0.1604 0.004 0.356 0.640
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.8934 1.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 3 0.9956 0.0418 0.292 0.336 0.372
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.9702 0.1492 0.220 0.416 0.364
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.8934 1.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0237 0.7977 0.004 0.000 0.996
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.6286 -0.2050 0.000 0.464 0.536
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.4605 0.6904 0.796 0.000 0.204
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.7838 0.000 1.000 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.5968 0.3774 0.636 0.000 0.364
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.7838 0.000 1.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0237 0.7832 0.000 0.996 0.004
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.9589 0.2783 0.220 0.464 0.316
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.5254 0.6799 0.000 0.736 0.264
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0237 0.7977 0.004 0.000 0.996
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.8934 1.000 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.4291 0.7162 0.820 0.000 0.180
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.8934 1.000 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.5178 0.6833 0.000 0.744 0.256
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.0424 0.7976 0.008 0.000 0.992
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.7838 0.000 1.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.4452 0.7150 0.808 0.000 0.192
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.8934 1.000 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.5591 0.6334 0.000 0.696 0.304
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.4579 0.64585 0.000 0.768 0.032 0.200
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.3308 0.67912 0.092 0.000 0.872 0.036
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.5386 0.56067 0.000 0.708 0.056 0.236
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.4188 0.80345 0.824 0.000 0.064 0.112
#> 0797DC35-6243-451D-9653-9649D390C0F4 3 0.6448 0.41443 0.316 0.000 0.592 0.092
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.5850 0.53818 0.244 0.000 0.676 0.080
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.3239 0.69036 0.052 0.000 0.880 0.068
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.0707 0.68860 0.000 0.000 0.980 0.020
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0469 0.77256 0.000 0.988 0.000 0.012
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0188 0.84038 0.996 0.000 0.000 0.004
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0188 0.77378 0.000 0.996 0.000 0.004
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.5511 0.66638 0.084 0.000 0.196 0.720
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.1792 0.75623 0.000 0.932 0.000 0.068
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.3427 0.67622 0.112 0.000 0.860 0.028
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.3497 0.82905 0.860 0.000 0.036 0.104
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.6261 0.46987 0.608 0.000 0.312 0.080
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.4297 0.77187 0.820 0.000 0.096 0.084
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0469 0.77256 0.000 0.988 0.000 0.012
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.3667 0.68120 0.088 0.000 0.856 0.056
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#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.8129 -0.08342 0.372 0.008 0.352 0.268
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 3 0.3224 0.67381 0.120 0.000 0.864 0.016
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 3 0.3991 0.66428 0.120 0.000 0.832 0.048
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0188 0.84038 0.996 0.000 0.000 0.004
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 3 0.6919 0.27303 0.352 0.000 0.528 0.120
#> 197E34CA-EF43-495C-8AA4-858982333429 3 0.6034 0.56699 0.192 0.012 0.704 0.092
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0188 0.84038 0.996 0.000 0.000 0.004
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.6814 0.45607 0.584 0.000 0.276 0.140
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 3 0.3286 0.68809 0.080 0.000 0.876 0.044
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.8041 0.04930 0.004 0.380 0.320 0.296
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.2216 0.83322 0.908 0.000 0.000 0.092
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.4163 0.77922 0.828 0.000 0.096 0.076
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.77426 0.000 1.000 0.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0336 0.84032 0.992 0.000 0.000 0.008
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.5990 0.52059 0.000 0.688 0.124 0.188
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 3 0.5267 0.59807 0.184 0.000 0.740 0.076
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 3 0.5941 0.49202 0.276 0.000 0.652 0.072
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 3 0.3959 0.67770 0.068 0.000 0.840 0.092
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.6929 0.59637 0.068 0.032 0.300 0.600
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.7587 0.27858 0.000 0.476 0.232 0.292
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.77426 0.000 1.000 0.000 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 3 0.5596 0.56620 0.236 0.000 0.696 0.068
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0817 0.77136 0.000 0.976 0.000 0.024
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 3 0.6823 0.40088 0.200 0.000 0.604 0.196
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.77426 0.000 1.000 0.000 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.2760 0.63403 0.000 0.000 0.872 0.128
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.3219 0.67896 0.000 0.836 0.000 0.164
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.2722 0.69765 0.064 0.000 0.904 0.032
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 3 0.4333 0.64513 0.056 0.004 0.820 0.120
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 4 0.7710 0.40360 0.000 0.296 0.256 0.448
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.7844 0.07135 0.004 0.444 0.316 0.236
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.1059 0.69715 0.016 0.000 0.972 0.012
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.5354 0.60197 0.000 0.712 0.056 0.232
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.2266 0.83371 0.912 0.000 0.004 0.084
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.2760 0.63403 0.000 0.000 0.872 0.128
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0188 0.84038 0.996 0.000 0.000 0.004
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.4491 0.81300 0.800 0.000 0.060 0.140
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.1302 0.84207 0.956 0.000 0.000 0.044
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.1118 0.76471 0.000 0.964 0.000 0.036
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.7571 0.39776 0.092 0.128 0.636 0.144
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.7031 0.41351 0.000 0.552 0.152 0.296
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.5956 0.65155 0.680 0.000 0.220 0.100
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.1488 0.69417 0.012 0.000 0.956 0.032
#> 5663C145-B465-4509-BA9A-1A40584952BD 4 0.6042 0.66784 0.000 0.224 0.104 0.672
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 4 0.6010 0.67209 0.000 0.220 0.104 0.676
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 4 0.6010 0.67209 0.000 0.220 0.104 0.676
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 4 0.4454 0.60854 0.000 0.000 0.308 0.692
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.8453 -0.16700 0.360 0.020 0.300 0.320
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0188 0.84038 0.996 0.000 0.000 0.004
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.3587 0.80088 0.860 0.000 0.088 0.052
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.3474 0.80523 0.868 0.000 0.068 0.064
#> D316C207-8020-47A7-8C2D-753CF42223B5 4 0.6042 0.66784 0.000 0.224 0.104 0.672
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.3117 0.82654 0.880 0.000 0.028 0.092
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.1824 0.75679 0.000 0.936 0.004 0.060
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.1474 0.83975 0.948 0.000 0.000 0.052
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.4867 0.63919 0.000 0.736 0.032 0.232
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.6819 0.22966 0.000 0.540 0.112 0.348
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 3 0.6516 0.35561 0.332 0.000 0.576 0.092
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0921 0.84039 0.972 0.000 0.000 0.028
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.3610 0.58283 0.000 0.000 0.800 0.200
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.2466 0.83471 0.900 0.000 0.004 0.096
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.77426 0.000 1.000 0.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.1637 0.84004 0.940 0.000 0.000 0.060
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.3688 0.57151 0.000 0.000 0.792 0.208
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.1716 0.83711 0.936 0.000 0.000 0.064
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 3 0.9836 -0.19813 0.168 0.260 0.312 0.260
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 4 0.9704 0.23046 0.152 0.216 0.308 0.324
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.1557 0.83819 0.944 0.000 0.000 0.056
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.3161 0.65180 0.012 0.000 0.864 0.124
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 4 0.4454 0.60854 0.000 0.000 0.308 0.692
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.5077 0.73512 0.760 0.000 0.160 0.080
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.1389 0.76205 0.000 0.952 0.000 0.048
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 3 0.6395 -0.01257 0.460 0.000 0.476 0.064
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.2142 0.74757 0.000 0.928 0.016 0.056
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.3606 0.70026 0.000 0.844 0.024 0.132
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.5384 0.67205 0.076 0.000 0.196 0.728
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 4 0.5956 0.67324 0.000 0.220 0.100 0.680
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.1398 0.68711 0.004 0.000 0.956 0.040
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0188 0.84038 0.996 0.000 0.000 0.004
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.5250 0.70971 0.736 0.000 0.196 0.068
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.2319 0.82725 0.924 0.000 0.036 0.040
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.6794 0.36093 0.000 0.584 0.136 0.280
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.2089 0.69949 0.048 0.000 0.932 0.020
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.77426 0.000 1.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.6334 0.39561 0.592 0.000 0.328 0.080
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0188 0.84038 0.996 0.000 0.000 0.004
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.7734 0.19984 0.000 0.444 0.272 0.284
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.3064 0.713287 0.000 0.856 0.000 0.108 0.036
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.6345 0.577304 0.024 0.000 0.584 0.260 0.132
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.4758 0.022998 0.000 0.432 0.004 0.012 0.552
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.4003 0.418711 0.704 0.000 0.008 0.288 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.5508 0.321748 0.636 0.000 0.120 0.244 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.6616 0.289396 0.292 0.000 0.456 0.252 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.5690 0.607210 0.152 0.000 0.624 0.224 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.2354 0.719958 0.008 0.000 0.904 0.076 0.012
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0566 0.782760 0.000 0.984 0.000 0.012 0.004
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.4452 0.174029 0.500 0.000 0.000 0.496 0.004
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.784642 0.000 1.000 0.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 5 0.4403 0.430636 0.000 0.000 0.004 0.436 0.560
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.4491 0.456683 0.000 0.648 0.004 0.012 0.336
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.6108 0.562461 0.224 0.000 0.568 0.208 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.1732 0.503071 0.920 0.000 0.000 0.080 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.5435 0.287349 0.576 0.000 0.072 0.352 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.4387 0.128614 0.336 0.000 0.008 0.652 0.004
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0798 0.780744 0.000 0.976 0.000 0.008 0.016
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.6569 0.609020 0.180 0.000 0.584 0.204 0.032
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.3574 0.453502 0.804 0.000 0.028 0.168 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 5 0.7400 0.366626 0.000 0.200 0.044 0.340 0.416
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.7137 0.582788 0.116 0.000 0.560 0.212 0.112
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.2388 0.722666 0.028 0.000 0.900 0.072 0.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.4367 0.067670 0.372 0.000 0.008 0.620 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.4553 0.343609 0.000 0.604 0.004 0.008 0.384
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.2813 0.452393 0.832 0.000 0.000 0.168 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 5 0.5098 0.375608 0.012 0.000 0.016 0.480 0.492
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 5 0.4397 0.433213 0.000 0.000 0.004 0.432 0.564
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.5940 0.523803 0.292 0.000 0.568 0.140 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.7274 0.231450 0.000 0.476 0.056 0.308 0.160
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.5934 0.575461 0.176 0.000 0.592 0.232 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.4446 0.191532 0.520 0.000 0.000 0.476 0.004
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.4297 0.192050 0.528 0.000 0.000 0.472 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.3804 0.713060 0.044 0.000 0.796 0.160 0.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.3752 0.340695 0.708 0.000 0.000 0.292 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.1965 0.716392 0.024 0.000 0.924 0.052 0.000
#> 333F9855-9462-46B8-87C8-E9B01572C101 3 0.7381 0.462928 0.080 0.000 0.496 0.276 0.148
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.4857 0.362030 0.636 0.000 0.040 0.324 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.4452 0.174029 0.500 0.000 0.000 0.496 0.004
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.4448 0.183763 0.516 0.000 0.000 0.480 0.004
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0290 0.783542 0.000 0.992 0.000 0.008 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.784642 0.000 1.000 0.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.4452 0.174029 0.500 0.000 0.000 0.496 0.004
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.3791 0.454370 0.812 0.000 0.076 0.112 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.4341 0.245206 0.592 0.000 0.000 0.404 0.004
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.4451 -0.159042 0.492 0.000 0.004 0.504 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.3675 0.726370 0.068 0.000 0.828 0.100 0.004
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.784642 0.000 1.000 0.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.5229 0.252624 0.000 0.528 0.004 0.036 0.432
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.4397 0.225225 0.564 0.000 0.000 0.432 0.004
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0566 0.782136 0.000 0.984 0.000 0.012 0.004
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.1478 0.510387 0.936 0.000 0.000 0.064 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0290 0.782831 0.000 0.992 0.000 0.000 0.008
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.8003 0.134414 0.012 0.424 0.088 0.316 0.160
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0162 0.681247 0.000 0.000 0.996 0.000 0.004
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.6916 0.284263 0.000 0.504 0.032 0.300 0.164
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.4495 0.396562 0.736 0.000 0.064 0.200 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0451 0.516021 0.988 0.000 0.004 0.008 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.8153 0.188503 0.076 0.452 0.032 0.284 0.156
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.784642 0.000 1.000 0.000 0.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.1671 0.717129 0.000 0.000 0.924 0.076 0.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.2852 0.430666 0.828 0.000 0.000 0.172 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0510 0.780341 0.000 0.984 0.000 0.000 0.016
#> D6654189-0570-4603-8C92-3032F2CF7EF3 5 0.1041 0.601786 0.000 0.000 0.004 0.032 0.964
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.784642 0.000 1.000 0.000 0.000 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0510 0.695331 0.000 0.000 0.984 0.016 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.6913 0.298872 0.000 0.512 0.036 0.296 0.156
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0404 0.693322 0.000 0.000 0.988 0.012 0.000
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#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.3278 0.665135 0.000 0.824 0.000 0.020 0.156
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.5585 0.681345 0.072 0.000 0.696 0.184 0.048
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 3 0.7203 0.556668 0.092 0.000 0.548 0.216 0.144
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.7036 0.204750 0.000 0.476 0.024 0.280 0.220
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.8108 -0.065877 0.000 0.344 0.100 0.312 0.244
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.3810 0.720892 0.100 0.000 0.812 0.088 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.5491 0.529935 0.000 0.668 0.004 0.176 0.152
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0290 0.516109 0.992 0.000 0.000 0.008 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0290 0.679129 0.000 0.000 0.992 0.000 0.008
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.4440 0.197162 0.528 0.000 0.000 0.468 0.004
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.2843 0.470582 0.848 0.000 0.008 0.144 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.2424 0.472068 0.868 0.000 0.000 0.132 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.1270 0.763027 0.000 0.948 0.000 0.000 0.052
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.7095 0.524076 0.048 0.004 0.524 0.280 0.144
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.5939 0.467643 0.000 0.620 0.008 0.216 0.156
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.4125 0.401331 0.772 0.000 0.056 0.172 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.3485 0.725643 0.048 0.000 0.828 0.124 0.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.0671 0.601382 0.000 0.000 0.004 0.016 0.980
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.0955 0.601867 0.000 0.000 0.004 0.028 0.968
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.0955 0.601867 0.000 0.000 0.004 0.028 0.968
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 5 0.4171 0.353485 0.000 0.000 0.396 0.000 0.604
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.7941 -0.210503 0.400 0.028 0.052 0.364 0.156
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.3741 0.364176 0.732 0.000 0.000 0.264 0.004
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.4564 0.319654 0.612 0.000 0.016 0.372 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.4288 0.306971 0.612 0.000 0.004 0.384 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.0162 0.600008 0.000 0.000 0.004 0.000 0.996
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.1661 0.508737 0.940 0.000 0.024 0.036 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.4200 0.457795 0.000 0.672 0.004 0.004 0.320
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0609 0.513768 0.980 0.000 0.000 0.020 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.3771 0.649484 0.000 0.804 0.004 0.036 0.156
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.4769 0.133886 0.000 0.392 0.004 0.016 0.588
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.5446 0.290442 0.660 0.000 0.176 0.164 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.3969 0.333435 0.692 0.000 0.000 0.304 0.004
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0703 0.679569 0.000 0.000 0.976 0.000 0.024
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0609 0.516644 0.980 0.000 0.000 0.020 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.784642 0.000 1.000 0.000 0.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.2813 0.447892 0.832 0.000 0.000 0.168 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.2377 0.585035 0.000 0.000 0.872 0.000 0.128
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.3242 0.401811 0.784 0.000 0.000 0.216 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 4 0.9466 0.188421 0.260 0.176 0.092 0.324 0.148
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 4 0.9192 0.220114 0.268 0.160 0.064 0.352 0.156
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.3177 0.408340 0.792 0.000 0.000 0.208 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.3051 0.702074 0.000 0.000 0.864 0.060 0.076
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 5 0.4171 0.353485 0.000 0.000 0.396 0.000 0.604
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.3112 0.478151 0.856 0.000 0.044 0.100 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.4134 0.501441 0.000 0.704 0.004 0.008 0.284
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.5039 0.345745 0.676 0.000 0.080 0.244 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.1124 0.769981 0.000 0.960 0.000 0.036 0.004
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.2953 0.691800 0.000 0.844 0.000 0.012 0.144
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.4397 0.433213 0.000 0.000 0.004 0.432 0.564
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.1041 0.601786 0.000 0.000 0.004 0.032 0.964
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.1648 0.713134 0.020 0.000 0.940 0.040 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.4307 0.169687 0.504 0.000 0.000 0.496 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.3953 0.418958 0.784 0.000 0.048 0.168 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.4249 0.234337 0.568 0.000 0.000 0.432 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.7457 0.009419 0.000 0.396 0.064 0.156 0.384
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.5025 0.675563 0.172 0.000 0.704 0.124 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.784642 0.000 1.000 0.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.5161 0.216189 0.516 0.000 0.040 0.444 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.4307 0.174738 0.504 0.000 0.000 0.496 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.6838 0.276877 0.000 0.500 0.028 0.316 0.156
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.3192 0.59751 0.004 0.776 0.216 0.000 0.004 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 6 0.5327 0.59130 0.272 0.000 0.064 0.032 0.004 0.628
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.5504 0.27094 0.000 0.296 0.036 0.076 0.592 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.2964 0.10851 0.792 0.000 0.004 0.204 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.5345 0.29015 0.648 0.000 0.116 0.028 0.000 0.208
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 6 0.4787 0.30087 0.480 0.000 0.012 0.028 0.000 0.480
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 6 0.4359 0.60317 0.296 0.000 0.008 0.032 0.000 0.664
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 6 0.3437 0.65471 0.236 0.000 0.008 0.004 0.000 0.752
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0858 0.77829 0.000 0.968 0.004 0.028 0.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.3961 0.95097 0.440 0.000 0.004 0.556 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0260 0.78185 0.000 0.992 0.008 0.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 5 0.7565 0.08845 0.240 0.000 0.216 0.188 0.356 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.5123 0.15525 0.000 0.492 0.024 0.036 0.448 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 6 0.4658 0.57726 0.340 0.000 0.040 0.008 0.000 0.612
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.3564 0.17058 0.724 0.000 0.264 0.012 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.2872 0.29596 0.864 0.000 0.008 0.076 0.000 0.052
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.3774 -0.06633 0.664 0.000 0.008 0.328 0.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.1251 0.77499 0.000 0.956 0.008 0.024 0.012 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 6 0.4961 0.58964 0.284 0.000 0.068 0.008 0.004 0.636
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.4311 0.16838 0.668 0.000 0.296 0.012 0.000 0.024
#> 82341457-7386-4C56-9DAF-A8F020055685 3 0.8312 0.45236 0.244 0.072 0.400 0.068 0.192 0.024
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 6 0.5348 0.54044 0.288 0.000 0.112 0.004 0.004 0.592
#> C1323790-6C24-4E54-A266-AE66588C1DD5 6 0.3380 0.65479 0.244 0.000 0.004 0.004 0.000 0.748
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.3714 -0.18558 0.656 0.000 0.004 0.340 0.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.4596 0.15611 0.000 0.508 0.004 0.028 0.460 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.5458 -0.20839 0.572 0.000 0.232 0.196 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 5 0.7817 -0.08439 0.264 0.008 0.280 0.164 0.284 0.000
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 5 0.7567 0.09078 0.240 0.000 0.212 0.192 0.356 0.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 6 0.4467 0.47008 0.408 0.000 0.024 0.004 0.000 0.564
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.6460 -0.53796 0.240 0.408 0.336 0.004 0.008 0.004
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 6 0.4468 0.59410 0.316 0.000 0.012 0.028 0.000 0.644
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.3993 0.91138 0.476 0.000 0.004 0.520 0.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.4093 -0.74441 0.516 0.000 0.008 0.476 0.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 6 0.3534 0.65292 0.244 0.000 0.000 0.016 0.000 0.740
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.5911 -0.43135 0.464 0.000 0.240 0.296 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 6 0.5104 0.63411 0.236 0.000 0.032 0.072 0.000 0.660
#> 333F9855-9462-46B8-87C8-E9B01572C101 6 0.6124 0.47074 0.300 0.000 0.128 0.028 0.008 0.536
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.4977 0.17470 0.712 0.000 0.112 0.132 0.000 0.044
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.3961 0.95120 0.440 0.000 0.004 0.556 0.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.3975 0.94545 0.452 0.000 0.004 0.544 0.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0993 0.77664 0.000 0.964 0.024 0.012 0.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.78220 0.000 1.000 0.000 0.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 4 0.3828 0.94715 0.440 0.000 0.000 0.560 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.3243 0.25876 0.812 0.000 0.156 0.004 0.000 0.028
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.5478 -0.69770 0.452 0.000 0.124 0.424 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.3899 -0.54197 0.592 0.000 0.004 0.404 0.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 6 0.3584 0.65453 0.244 0.000 0.012 0.004 0.000 0.740
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0260 0.78185 0.000 0.992 0.008 0.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.6236 0.12733 0.000 0.340 0.076 0.084 0.500 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.3997 -0.84461 0.508 0.000 0.004 0.488 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0858 0.77376 0.000 0.968 0.028 0.000 0.004 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.2706 0.23421 0.852 0.000 0.124 0.024 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0891 0.77589 0.000 0.968 0.000 0.024 0.008 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 3 0.7893 0.73286 0.248 0.224 0.340 0.004 0.008 0.176
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 6 0.3859 0.43773 0.000 0.000 0.040 0.168 0.016 0.776
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.6313 -0.49869 0.240 0.428 0.320 0.004 0.008 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.4176 0.31070 0.772 0.000 0.128 0.024 0.000 0.076
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.3979 0.16458 0.708 0.000 0.264 0.020 0.000 0.008
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.6301 -0.57283 0.296 0.388 0.308 0.000 0.008 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0146 0.78229 0.000 0.996 0.004 0.000 0.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 6 0.3420 0.65520 0.240 0.000 0.012 0.000 0.000 0.748
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.5490 -0.17285 0.560 0.000 0.260 0.180 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0891 0.77625 0.000 0.968 0.000 0.024 0.008 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 5 0.0692 0.53605 0.000 0.000 0.004 0.020 0.976 0.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0260 0.78185 0.000 0.992 0.008 0.000 0.000 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 6 0.4245 0.59318 0.120 0.000 0.024 0.088 0.000 0.768
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.6485 -0.51323 0.236 0.420 0.324 0.000 0.008 0.012
#> 164DD212-0839-4644-8FEE-E6A07A60803B 6 0.2980 0.55423 0.040 0.000 0.024 0.072 0.000 0.864
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.6679 -0.69500 0.380 0.248 0.348 0.008 0.008 0.008
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 5 0.7565 0.08845 0.240 0.000 0.216 0.188 0.356 0.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0458 0.78023 0.000 0.984 0.000 0.016 0.000 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 6 0.3566 0.65518 0.236 0.000 0.020 0.000 0.000 0.744
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 6 0.4522 0.41187 0.424 0.000 0.020 0.008 0.000 0.548
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.3874 -0.43079 0.636 0.000 0.008 0.356 0.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0458 0.77894 0.000 0.984 0.016 0.000 0.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 6 0.3671 0.44687 0.000 0.000 0.040 0.168 0.008 0.784
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.4061 0.41324 0.012 0.664 0.316 0.000 0.008 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 5 0.7565 0.08845 0.240 0.000 0.216 0.188 0.356 0.000
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.3823 0.94540 0.436 0.000 0.000 0.564 0.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.3828 -0.60237 0.560 0.000 0.000 0.440 0.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.6158 -0.45949 0.236 0.444 0.312 0.000 0.008 0.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0632 0.77789 0.000 0.976 0.000 0.024 0.000 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 5 0.7608 0.02541 0.272 0.000 0.208 0.192 0.328 0.000
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#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 6 0.3983 0.65024 0.248 0.000 0.012 0.020 0.000 0.720
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 6 0.5418 0.53415 0.280 0.000 0.112 0.008 0.004 0.596
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.6814 -0.45864 0.236 0.448 0.272 0.016 0.028 0.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 3 0.8580 0.73831 0.240 0.268 0.316 0.044 0.032 0.100
#> 8DBE419E-A360-4493-AC3B-C145887D9237 6 0.3536 0.65398 0.252 0.000 0.004 0.008 0.000 0.736
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.3512 0.55122 0.000 0.740 0.248 0.000 0.008 0.004
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.3509 0.15835 0.744 0.000 0.240 0.016 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 6 0.3671 0.44687 0.000 0.000 0.040 0.168 0.008 0.784
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 4 0.3982 0.94426 0.460 0.000 0.004 0.536 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.3536 0.18930 0.736 0.000 0.252 0.004 0.000 0.008
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.4330 -0.22359 0.696 0.000 0.068 0.236 0.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.3956 0.49981 0.000 0.684 0.000 0.024 0.292 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 6 0.5978 0.47986 0.288 0.000 0.136 0.024 0.004 0.548
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.5311 0.19509 0.096 0.600 0.292 0.000 0.008 0.004
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.3629 0.20625 0.724 0.000 0.260 0.016 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 6 0.3534 0.65577 0.244 0.000 0.000 0.016 0.000 0.740
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.0692 0.53605 0.000 0.000 0.004 0.020 0.976 0.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.0692 0.53605 0.000 0.000 0.004 0.020 0.976 0.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.0692 0.53605 0.000 0.000 0.004 0.020 0.976 0.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 5 0.5882 0.38450 0.000 0.000 0.020 0.124 0.492 0.364
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.5191 -0.12393 0.620 0.028 0.308 0.032 0.008 0.004
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.3971 -0.73418 0.548 0.000 0.004 0.448 0.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.5184 -0.17649 0.644 0.000 0.108 0.232 0.000 0.016
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.4354 -0.24348 0.684 0.000 0.040 0.268 0.000 0.008
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.0547 0.53376 0.000 0.000 0.000 0.020 0.980 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.3541 0.16873 0.728 0.000 0.260 0.012 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.4381 0.21384 0.000 0.536 0.000 0.024 0.440 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.4085 0.11623 0.704 0.000 0.252 0.044 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.3007 0.70504 0.052 0.872 0.044 0.024 0.008 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.5235 0.38562 0.000 0.224 0.048 0.068 0.660 0.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.3594 0.33113 0.796 0.000 0.044 0.008 0.000 0.152
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.5868 -0.46389 0.472 0.000 0.224 0.304 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 6 0.2886 0.49206 0.000 0.000 0.016 0.144 0.004 0.836
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.3494 0.16421 0.736 0.000 0.252 0.012 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0146 0.78216 0.000 0.996 0.000 0.004 0.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.3394 -0.16216 0.752 0.000 0.012 0.236 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 6 0.4433 0.40252 0.000 0.000 0.040 0.168 0.048 0.744
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.5663 -0.26066 0.532 0.000 0.248 0.220 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.5982 -0.43764 0.524 0.136 0.320 0.004 0.004 0.012
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.5572 -0.37335 0.556 0.088 0.336 0.012 0.008 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.5712 -0.26878 0.520 0.000 0.260 0.220 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 6 0.5899 0.57418 0.164 0.000 0.024 0.140 0.032 0.640
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 5 0.5882 0.38450 0.000 0.000 0.020 0.124 0.492 0.364
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.3586 0.17163 0.720 0.000 0.268 0.012 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.4576 0.21359 0.000 0.532 0.004 0.028 0.436 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.2458 0.34441 0.892 0.000 0.016 0.024 0.000 0.068
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.1219 0.76080 0.000 0.948 0.048 0.000 0.004 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.1536 0.77304 0.000 0.944 0.012 0.024 0.020 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.7567 0.09078 0.240 0.000 0.212 0.192 0.356 0.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.1219 0.53277 0.000 0.000 0.004 0.048 0.948 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 6 0.4861 0.63724 0.236 0.000 0.024 0.064 0.000 0.676
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.3982 -0.61111 0.536 0.000 0.004 0.460 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.2313 0.29207 0.884 0.000 0.100 0.012 0.000 0.004
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.3737 -0.52709 0.608 0.000 0.000 0.392 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.8543 -0.45789 0.212 0.248 0.228 0.040 0.264 0.008
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 6 0.3736 0.64872 0.268 0.000 0.008 0.008 0.000 0.716
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0146 0.78229 0.000 0.996 0.004 0.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.4475 0.22227 0.748 0.000 0.116 0.112 0.000 0.024
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.4089 -0.65421 0.524 0.000 0.008 0.468 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.6335 -0.53051 0.240 0.412 0.336 0.000 0.008 0.004
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "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 17416 rows and 433 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.957 0.952 0.980 0.5009 0.500 0.500
#> 3 3 0.900 0.885 0.955 0.2597 0.758 0.563
#> 4 4 0.723 0.813 0.887 0.1678 0.811 0.533
#> 5 5 0.781 0.786 0.890 0.0648 0.913 0.685
#> 6 6 0.752 0.705 0.844 0.0376 0.937 0.735
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2
There is also optional best \(k\) = 2 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.1843 0.9510 0.028 0.972
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.6973 0.7718 0.188 0.812
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0000 0.9740 0.000 1.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.9852 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0000 0.9852 1.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.0000 0.9852 1.000 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.8386 0.6249 0.732 0.268
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.0000 0.9740 0.000 1.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.9740 0.000 1.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.9852 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9740 0.000 1.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.0000 0.9740 0.000 1.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.9740 0.000 1.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.0376 0.9816 0.996 0.004
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9852 1.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.9852 1.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0000 0.9852 1.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.9740 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.0938 0.9742 0.988 0.012
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.9852 1.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0000 0.9740 0.000 1.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.4815 0.8753 0.896 0.104
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.1633 0.9544 0.024 0.976
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.9852 1.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.9740 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9852 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.0000 0.9740 0.000 1.000
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.0000 0.9740 0.000 1.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0000 0.9852 1.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.9740 0.000 1.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.0000 0.9852 1.000 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.9852 1.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.9852 1.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 2 0.7950 0.6956 0.240 0.760
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9852 1.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.0000 0.9740 0.000 1.000
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.0000 0.9852 1.000 0.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.9852 1.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.9852 1.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.9852 1.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.9740 0.000 1.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9740 0.000 1.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.9852 1.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.9852 1.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.9852 1.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.9852 1.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.0000 0.9740 0.000 1.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.9740 0.000 1.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.9740 0.000 1.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.9852 1.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.9740 0.000 1.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.9852 1.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.9740 0.000 1.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.9740 0.000 1.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 2 0.0000 0.9740 0.000 1.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0000 0.9740 0.000 1.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.9852 1.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.9852 1.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.0000 0.9852 1.000 0.000
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#> EEDCFE8A-83E5-46AA-B68B-3FB583AD7773 1 0.0000 0.9852 1.000 0.000
#> 9F307D82-70A1-4EBE-AA49-660EECD22563 2 0.0000 0.9740 0.000 1.000
#> 535B17B1-D5E8-4FF6-AC93-049871EB14BB 2 0.0000 0.9740 0.000 1.000
#> 31821D8D-76B3-4A0A-9630-7996A5B74D9F 1 0.0000 0.9852 1.000 0.000
#> 93CEF7C9-5F0B-4422-A59A-54DFADA6EA9E 1 0.0000 0.9852 1.000 0.000
#> 85CDB5A9-CCA3-4EC4-BF62-9D942716D2D8 1 0.0000 0.9852 1.000 0.000
#> EC4209C8-C1AD-47FF-A6D8-771D18270EA1 2 0.1184 0.9611 0.016 0.984
#> 0B367451-F169-4F59-80BB-CF2D51799DE8 2 0.0000 0.9740 0.000 1.000
#> CECB1E03-6390-4532-8573-BB6453A99D55 2 0.0000 0.9740 0.000 1.000
#> BC33369C-A31C-4AC0-80C8-115C3EA0ACAA 1 0.0000 0.9852 1.000 0.000
#> CD8175A9-2AC3-440B-B1F4-F6E96DE38E40 2 0.0000 0.9740 0.000 1.000
#> D2AE6D2B-8720-4381-9CDA-8555C37230F5 2 0.1633 0.9543 0.024 0.976
#> A3DBF047-C112-47D2-B192-87B2FD3C8694 2 0.0000 0.9740 0.000 1.000
#> 79E4E984-163D-43D9-B289-50C0D64A79C2 1 0.0000 0.9852 1.000 0.000
#> FFA0A012-76C8-4AD5-985D-27CEBD96FBC3 1 0.0000 0.9852 1.000 0.000
#> 839A5A2D-0447-4D06-B910-8500BF600E3E 2 0.0000 0.9740 0.000 1.000
#> CE775B7C-06CA-490B-922C-73A1E3EF34CA 1 0.0000 0.9852 1.000 0.000
#> 5D52CC4F-7BCA-491E-AE85-0719B30D121E 1 0.0000 0.9852 1.000 0.000
#> 5F16D2A6-BDD1-40FE-A34D-9C65D067EFEC 2 0.0000 0.9740 0.000 1.000
#> B76BA504-E72D-4243-8401-D9F12757B57D 1 0.0000 0.9852 1.000 0.000
#> 287690D7-7F42-4861-A884-98D5A7A4D18F 2 0.0000 0.9740 0.000 1.000
#> D1D1649A-7437-4F25-B86E-786A25B0ECBE 1 0.0000 0.9852 1.000 0.000
#> DAF737C4-DF51-4C8C-B263-91B00B09D8FC 1 0.0000 0.9852 1.000 0.000
#> A30417A9-2D50-4723-842A-45463DB534AD 1 0.0000 0.9852 1.000 0.000
#> 0B840B00-AFF7-4D0E-9815-FA2A893294C6 1 0.0000 0.9852 1.000 0.000
#> 32FC134E-6424-4517-9B0C-B2E487542EC3 1 0.0000 0.9852 1.000 0.000
#> 85363C3B-1793-4B41-8015-C5450C1D5428 1 0.0000 0.9852 1.000 0.000
#> A8574381-5644-4F7A-BDD7-C579A6398B70 2 0.0000 0.9740 0.000 1.000
#> 85BCE632-72B2-475A-8FE0-F045051B3CE5 1 0.0000 0.9852 1.000 0.000
#> 9972E418-EFEC-4AA6-AA83-98D79D74DFB4 1 0.0000 0.9852 1.000 0.000
#> 3F9403BF-0B47-40E4-8709-9DB0D218E607 1 0.0000 0.9852 1.000 0.000
#> E9595675-4155-43BB-8E68-FC59D55C62E6 1 0.0000 0.9852 1.000 0.000
#> 4B6DDD8E-AB89-4C9D-8D48-AD81B8FB4A31 2 0.0000 0.9740 0.000 1.000
#> EEDFA1F7-26D8-426A-93F5-43CCF0B3CF59 2 0.0000 0.9740 0.000 1.000
#> 2C26486A-A737-4B2F-9D98-28A700081CDA 2 0.0000 0.9740 0.000 1.000
#> 458FCE33-422D-4C4C-A9CF-ABFED8B19D4A 2 0.0000 0.9740 0.000 1.000
#> A66FCDA9-6775-4052-94C4-12E173DF4084 1 0.0000 0.9852 1.000 0.000
#> E3F52C71-F558-47C7-B956-BC79F98EFD5D 2 0.0000 0.9740 0.000 1.000
#> 82C75B87-33D1-4317-AC48-7043A3D677EC 2 0.0000 0.9740 0.000 1.000
#> E4DB5591-7C73-4792-B86F-3B2FB59C66BD 2 0.0000 0.9740 0.000 1.000
#> FEF62FF9-F25E-49A7-B1E4-84099D13A309 2 0.0000 0.9740 0.000 1.000
#> 3D6CE155-4E02-4739-A8C9-30981EA9B0B1 1 0.0000 0.9852 1.000 0.000
#> 0A3AB174-07D0-4396-A6C5-9ECEEBE8651C 1 0.0000 0.9852 1.000 0.000
#> 86ACC3DD-A9E8-4FDA-ACF9-33175CE06629 1 0.0000 0.9852 1.000 0.000
#> A3150223-5399-4CC6-90A7-6046F39FAC3E 2 0.0000 0.9740 0.000 1.000
#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 1 0.0000 0.9852 1.000 0.000
#> 99D8A9E2-773C-4142-9A93-5F749961F712 1 0.0000 0.9852 1.000 0.000
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 2 0.0000 0.9740 0.000 1.000
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 1 0.0000 0.9852 1.000 0.000
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 2 0.0000 0.9740 0.000 1.000
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 1 0.0000 0.9852 1.000 0.000
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 2 0.0000 0.9740 0.000 1.000
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 2 0.0000 0.9740 0.000 1.000
#> 14003AA2-81B6-4143-98AD-124903BAE56B 1 0.0000 0.9852 1.000 0.000
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.0000 0.9852 1.000 0.000
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0000 0.9740 0.000 1.000
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.0000 0.9740 0.000 1.000
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.0000 0.9740 0.000 1.000
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 2 0.0000 0.9740 0.000 1.000
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 2 0.0000 0.9740 0.000 1.000
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.0000 0.9852 1.000 0.000
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0000 0.9852 1.000 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 2 0.0000 0.9740 0.000 1.000
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 2 0.0000 0.9740 0.000 1.000
#> 420503AA-3799-4816-BEEC-0B4D05988D38 2 0.0000 0.9740 0.000 1.000
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0000 0.9852 1.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.9852 1.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.0000 0.9740 0.000 1.000
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0000 0.9852 1.000 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0000 0.9852 1.000 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.0000 0.9740 0.000 1.000
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 1 0.0376 0.9816 0.996 0.004
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.0000 0.9740 0.000 1.000
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.9740 0.000 1.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.9740 0.000 1.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.0000 0.9852 1.000 0.000
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.0000 0.9740 0.000 1.000
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.0000 0.9740 0.000 1.000
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0000 0.9740 0.000 1.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 2 0.0000 0.9740 0.000 1.000
#> B822A426-98C1-4976-9FC2-16347992AD78 2 0.6148 0.8201 0.152 0.848
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.9740 0.000 1.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0000 0.9852 1.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.9740 0.000 1.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 2 0.0000 0.9740 0.000 1.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.0000 0.9740 0.000 1.000
#> E9894334-C852-4159-9FEB-40292B160CC1 2 0.0000 0.9740 0.000 1.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 1 0.9815 0.2658 0.580 0.420
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.0000 0.9852 1.000 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.0000 0.9740 0.000 1.000
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.0000 0.9852 1.000 0.000
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0000 0.9740 0.000 1.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 1 0.7139 0.7502 0.804 0.196
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 2 0.0000 0.9740 0.000 1.000
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 2 0.8608 0.6221 0.284 0.716
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.9740 0.000 1.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.0000 0.9852 1.000 0.000
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.0000 0.9852 1.000 0.000
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.1843 0.9508 0.028 0.972
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.9852 1.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.0000 0.9852 1.000 0.000
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.0000 0.9852 1.000 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.9852 1.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.0000 0.9852 1.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 2 0.6048 0.8248 0.148 0.852
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.0000 0.9740 0.000 1.000
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.9852 1.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.9852 1.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.9740 0.000 1.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.9852 1.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.9740 0.000 1.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.9852 1.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0000 0.9852 1.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0000 0.9852 1.000 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 1 0.9000 0.5333 0.684 0.316
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.1184 0.9611 0.016 0.984
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.9740 0.000 1.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0000 0.9852 1.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.9740 0.000 1.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.0000 0.9852 1.000 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.9740 0.000 1.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 2 0.0000 0.9740 0.000 1.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.9740 0.000 1.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 2 0.0000 0.9740 0.000 1.000
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 2 0.3114 0.9254 0.056 0.944
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.9740 0.000 1.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0000 0.9740 0.000 1.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 2 0.8661 0.6095 0.288 0.712
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.9740 0.000 1.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.9852 1.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.0000 0.9740 0.000 1.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.9852 1.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.9852 1.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.9852 1.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.9740 0.000 1.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 2 0.7950 0.6941 0.240 0.760
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.9740 0.000 1.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.9852 1.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 2 0.5737 0.8400 0.136 0.864
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 0.9740 0.000 1.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0000 0.9740 0.000 1.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0000 0.9740 0.000 1.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.0000 0.9740 0.000 1.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0000 0.9852 1.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.9852 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.9852 1.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.9852 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.9740 0.000 1.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.9852 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.9740 0.000 1.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.9852 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.9740 0.000 1.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0000 0.9740 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.9852 1.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.9852 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.0000 0.9740 0.000 1.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.9852 1.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.9740 0.000 1.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.9852 1.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.0000 0.9740 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.9852 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0000 0.9852 1.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0000 0.9852 1.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9852 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.0000 0.9740 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.0000 0.9740 0.000 1.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.9852 1.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.9740 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.9852 1.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.9740 0.000 1.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.9740 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.0000 0.9740 0.000 1.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.9740 0.000 1.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.0000 0.9740 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.9852 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.9852 1.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.9852 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.9740 0.000 1.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.0376 0.9816 0.996 0.004
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.9740 0.000 1.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.9852 1.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.9852 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.9740 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.95281 0.000 1.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.3619 0.82055 0.864 0.000 0.136
#> B5567E00-32AA-48D8-8087-1088C22B0994 3 0.1753 0.85327 0.000 0.048 0.952
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#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.95281 0.000 1.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.97363 1.000 0.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.95281 0.000 1.000 0.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.97363 1.000 0.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0000 0.97363 1.000 0.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0000 0.97363 1.000 0.000 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.0000 0.95281 0.000 1.000 0.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.0000 0.95281 0.000 1.000 0.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.95281 0.000 1.000 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0000 0.97363 1.000 0.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.95281 0.000 1.000 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.0000 0.97363 1.000 0.000 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.95281 0.000 1.000 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.88878 0.000 0.000 1.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.95281 0.000 1.000 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.4796 0.70659 0.220 0.000 0.780
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.0747 0.95945 0.984 0.000 0.016
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.95281 0.000 1.000 0.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.5810 0.46369 0.000 0.664 0.336
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.1643 0.93173 0.956 0.000 0.044
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.95281 0.000 1.000 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.97363 1.000 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.88878 0.000 0.000 1.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.97363 1.000 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.97363 1.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.97363 1.000 0.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.95281 0.000 1.000 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.0892 0.95518 0.980 0.020 0.000
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.95281 0.000 1.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.97363 1.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.0000 0.88878 0.000 0.000 1.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 3 0.0000 0.88878 0.000 0.000 1.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.0000 0.88878 0.000 0.000 1.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.0000 0.88878 0.000 0.000 1.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.88878 0.000 0.000 1.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.6244 0.18940 0.560 0.440 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.97363 1.000 0.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.97363 1.000 0.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.97363 1.000 0.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 3 0.0000 0.88878 0.000 0.000 1.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.97363 1.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.2356 0.88243 0.000 0.928 0.072
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.97363 1.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.95281 0.000 1.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.0000 0.88878 0.000 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.97363 1.000 0.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.97363 1.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.88878 0.000 0.000 1.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.97363 1.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.95281 0.000 1.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.97363 1.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.88878 0.000 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.97363 1.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.6140 0.34406 0.596 0.404 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.0000 0.95281 0.000 1.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.97363 1.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0000 0.88878 0.000 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.88878 0.000 0.000 1.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.97363 1.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.4555 0.71605 0.000 0.800 0.200
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.97363 1.000 0.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.95281 0.000 1.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.95281 0.000 1.000 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 3 0.0000 0.88878 0.000 0.000 1.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 3 0.6111 0.35383 0.000 0.396 0.604
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.88878 0.000 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.97363 1.000 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.97363 1.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.97363 1.000 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.6140 0.28992 0.000 0.596 0.404
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.0000 0.97363 1.000 0.000 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.95281 0.000 1.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.97363 1.000 0.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.97363 1.000 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.95281 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.9218 0.000 1.000 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.3725 0.8622 0.180 0.000 0.008 0.812
#> B5567E00-32AA-48D8-8087-1088C22B0994 3 0.4083 0.8341 0.000 0.068 0.832 0.100
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0188 0.9092 0.996 0.000 0.000 0.004
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.3266 0.7214 0.832 0.000 0.000 0.168
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.5320 0.5540 0.416 0.000 0.012 0.572
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.6705 0.3650 0.148 0.000 0.608 0.244
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.1488 0.8896 0.012 0.000 0.956 0.032
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.3074 0.8612 0.000 0.848 0.000 0.152
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.3569 0.8591 0.196 0.000 0.000 0.804
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9218 0.000 1.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.2053 0.7496 0.000 0.004 0.072 0.924
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.2376 0.8858 0.000 0.916 0.068 0.016
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.5080 0.5607 0.420 0.000 0.004 0.576
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9089 1.000 0.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.3688 0.8554 0.208 0.000 0.000 0.792
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.4500 0.7172 0.316 0.000 0.000 0.684
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.2589 0.8804 0.000 0.884 0.000 0.116
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.0188 0.9092 0.996 0.000 0.000 0.004
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0188 0.9092 0.996 0.000 0.000 0.004
#> 82341457-7386-4C56-9DAF-A8F020055685 4 0.3402 0.5629 0.000 0.004 0.164 0.832
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.1022 0.8834 0.968 0.032 0.000 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.4259 0.7450 0.056 0.000 0.816 0.128
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.3569 0.8591 0.196 0.000 0.000 0.804
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.7235 0.1917 0.000 0.480 0.372 0.148
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0188 0.9092 0.996 0.000 0.000 0.004
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.2483 0.8004 0.052 0.032 0.000 0.916
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.4655 0.2602 0.000 0.004 0.312 0.684
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0000 0.9089 1.000 0.000 0.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.1389 0.9101 0.000 0.952 0.000 0.048
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.4610 0.8354 0.236 0.000 0.020 0.744
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.3400 0.8613 0.180 0.000 0.000 0.820
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.3123 0.8584 0.156 0.000 0.000 0.844
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.7318 -0.0671 0.160 0.000 0.476 0.364
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0188 0.9092 0.996 0.000 0.000 0.004
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.0524 0.8946 0.004 0.000 0.988 0.008
#> 333F9855-9462-46B8-87C8-E9B01572C101 2 0.7824 -0.2262 0.268 0.404 0.000 0.328
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.3942 0.8391 0.236 0.000 0.000 0.764
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.3726 0.8532 0.212 0.000 0.000 0.788
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.3266 0.8606 0.168 0.000 0.000 0.832
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.9218 0.000 1.000 0.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9218 0.000 1.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 4 0.4941 0.5340 0.436 0.000 0.000 0.564
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.9089 1.000 0.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0188 0.9092 0.996 0.000 0.000 0.004
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.3311 0.8610 0.172 0.000 0.000 0.828
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.4331 0.5736 0.288 0.000 0.712 0.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.9218 0.000 1.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.3450 0.8539 0.000 0.836 0.008 0.156
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 4 0.4008 0.8330 0.244 0.000 0.000 0.756
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0188 0.9207 0.004 0.996 0.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.2345 0.8157 0.900 0.000 0.000 0.100
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.2149 0.8940 0.000 0.912 0.000 0.088
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.3123 0.7874 0.156 0.844 0.000 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.8957 0.000 0.000 1.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.2868 0.8723 0.000 0.864 0.000 0.136
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0188 0.9092 0.996 0.000 0.000 0.004
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0188 0.9092 0.996 0.000 0.000 0.004
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.0188 0.9207 0.004 0.996 0.000 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.9218 0.000 1.000 0.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 1 0.1940 0.8462 0.924 0.000 0.076 0.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.9089 1.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.2973 0.8658 0.000 0.856 0.000 0.144
#> D6654189-0570-4603-8C92-3032F2CF7EF3 3 0.3052 0.8498 0.000 0.004 0.860 0.136
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0592 0.9198 0.000 0.984 0.000 0.016
#> 481EF2B5-E610-4F19-80F2-22327EE33378 1 0.4985 0.0930 0.532 0.000 0.468 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.0188 0.9207 0.004 0.996 0.000 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0000 0.8957 0.000 0.000 1.000 0.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.1118 0.9015 0.036 0.964 0.000 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.1576 0.7598 0.004 0.048 0.000 0.948
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.9218 0.000 1.000 0.000 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 1 0.2921 0.7715 0.860 0.000 0.140 0.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.0188 0.9092 0.996 0.000 0.000 0.004
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.2973 0.8550 0.144 0.000 0.000 0.856
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.9218 0.000 1.000 0.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.8957 0.000 0.000 1.000 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0188 0.9207 0.004 0.996 0.000 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.1489 0.7980 0.044 0.004 0.000 0.952
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.3172 0.8594 0.160 0.000 0.000 0.840
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.3649 0.8566 0.204 0.000 0.000 0.796
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.2081 0.8952 0.000 0.916 0.000 0.084
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.3172 0.8563 0.000 0.840 0.000 0.160
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.0188 0.7573 0.000 0.000 0.004 0.996
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.4907 -0.0318 0.580 0.000 0.000 0.420
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0000 0.8957 0.000 0.000 1.000 0.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0336 0.9068 0.992 0.000 0.000 0.008
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.0000 0.8957 0.000 0.000 1.000 0.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.1284 0.7835 0.024 0.000 0.012 0.964
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0188 0.9092 0.996 0.000 0.000 0.004
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0188 0.9092 0.996 0.000 0.000 0.004
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.2149 0.8943 0.000 0.912 0.000 0.088
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#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0188 0.9207 0.004 0.996 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.3024 0.8635 0.000 0.852 0.000 0.148
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 3 0.2345 0.8720 0.000 0.000 0.900 0.100
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 3 0.5836 0.7273 0.000 0.112 0.700 0.188
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.8957 0.000 0.000 1.000 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.3219 0.8601 0.164 0.000 0.000 0.836
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0469 0.8999 0.988 0.012 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.3610 0.8579 0.200 0.000 0.000 0.800
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.4584 0.7242 0.000 0.696 0.004 0.300
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.4511 0.7077 0.784 0.000 0.176 0.040
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.1022 0.9152 0.000 0.968 0.000 0.032
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.3400 0.8613 0.180 0.000 0.000 0.820
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.3074 0.8574 0.152 0.000 0.000 0.848
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0707 0.9185 0.000 0.980 0.000 0.020
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0404 0.91787 0.000 0.988 0.000 0.000 0.012
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.0404 0.87648 0.000 0.000 0.000 0.988 0.012
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.3241 0.78859 0.000 0.024 0.144 0.000 0.832
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0162 0.89931 0.996 0.000 0.000 0.000 0.004
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.3730 0.63053 0.712 0.000 0.000 0.288 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.5705 0.51350 0.252 0.000 0.120 0.624 0.004
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.4691 0.57302 0.028 0.000 0.280 0.684 0.008
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 5 0.5800 0.41701 0.076 0.000 0.372 0.008 0.544
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.2852 0.79248 0.000 0.172 0.000 0.000 0.828
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.1943 0.86538 0.020 0.000 0.000 0.924 0.056
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0162 0.92022 0.000 0.996 0.000 0.000 0.004
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.4746 0.75136 0.000 0.060 0.028 0.760 0.152
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0609 0.91363 0.000 0.980 0.000 0.000 0.020
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.2297 0.84729 0.060 0.000 0.020 0.912 0.008
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0740 0.89434 0.980 0.008 0.000 0.004 0.008
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.2927 0.84463 0.060 0.000 0.000 0.872 0.068
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.4869 0.67189 0.192 0.000 0.000 0.712 0.096
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.3003 0.78500 0.000 0.188 0.000 0.000 0.812
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.1731 0.87977 0.940 0.000 0.008 0.040 0.012
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0162 0.89931 0.996 0.000 0.000 0.000 0.004
#> 82341457-7386-4C56-9DAF-A8F020055685 4 0.4737 0.72656 0.000 0.016 0.080 0.756 0.148
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.0566 0.89544 0.984 0.012 0.000 0.000 0.004
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.3010 0.70748 0.000 0.000 0.824 0.172 0.004
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.0162 0.87597 0.000 0.000 0.000 0.996 0.004
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.3535 0.80116 0.000 0.080 0.088 0.000 0.832
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0162 0.89931 0.996 0.000 0.000 0.000 0.004
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.4780 0.69133 0.000 0.060 0.000 0.692 0.248
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.5840 0.51975 0.000 0.000 0.232 0.604 0.164
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.1732 0.86150 0.920 0.000 0.000 0.080 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0510 0.91913 0.000 0.984 0.000 0.000 0.016
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.5418 0.14925 0.040 0.000 0.008 0.508 0.444
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.0404 0.87591 0.000 0.000 0.000 0.988 0.012
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0290 0.87616 0.000 0.000 0.000 0.992 0.008
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.1251 0.86769 0.008 0.000 0.036 0.956 0.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0162 0.89931 0.996 0.000 0.000 0.000 0.004
#> 2A08011A-E15E-4754-B560-4637EF3A446B 5 0.5028 0.42289 0.012 0.000 0.412 0.016 0.560
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.3599 0.76516 0.160 0.020 0.000 0.812 0.008
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.0865 0.87211 0.024 0.000 0.000 0.972 0.004
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.0451 0.87633 0.008 0.000 0.000 0.988 0.004
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0000 0.87604 0.000 0.000 0.000 1.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0162 0.92022 0.000 0.996 0.000 0.000 0.004
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.92050 0.000 1.000 0.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.4390 0.22603 0.568 0.000 0.000 0.428 0.004
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0162 0.89873 0.996 0.000 0.000 0.000 0.004
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0324 0.89900 0.992 0.000 0.000 0.004 0.004
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.0290 0.87636 0.000 0.000 0.000 0.992 0.008
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.3707 0.57256 0.284 0.000 0.716 0.000 0.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0290 0.91908 0.000 0.992 0.000 0.000 0.008
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.4138 0.48763 0.000 0.384 0.000 0.000 0.616
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 4 0.1502 0.85847 0.056 0.000 0.000 0.940 0.004
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0290 0.91872 0.000 0.992 0.000 0.000 0.008
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.2773 0.77436 0.836 0.000 0.000 0.164 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.1043 0.89987 0.000 0.960 0.000 0.000 0.040
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.3203 0.75287 0.168 0.820 0.000 0.000 0.012
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.86228 0.000 0.000 1.000 0.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.1628 0.89517 0.000 0.936 0.000 0.008 0.056
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.89948 1.000 0.000 0.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.89948 1.000 0.000 0.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.1697 0.87413 0.060 0.932 0.000 0.000 0.008
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0162 0.92022 0.000 0.996 0.000 0.000 0.004
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 1 0.2127 0.82751 0.892 0.000 0.108 0.000 0.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.89948 1.000 0.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 5 0.3876 0.61877 0.000 0.316 0.000 0.000 0.684
#> D6654189-0570-4603-8C92-3032F2CF7EF3 3 0.2877 0.76230 0.000 0.004 0.848 0.004 0.144
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0963 0.90344 0.000 0.964 0.000 0.000 0.036
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.3730 0.57782 0.288 0.000 0.712 0.000 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.0404 0.91806 0.000 0.988 0.000 0.000 0.012
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0162 0.86105 0.000 0.000 0.996 0.000 0.004
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.1768 0.86445 0.072 0.924 0.000 0.004 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.4170 0.76011 0.000 0.080 0.000 0.780 0.140
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0162 0.92022 0.000 0.996 0.000 0.000 0.004
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 1 0.1251 0.87907 0.956 0.000 0.036 0.000 0.008
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.2124 0.85040 0.900 0.000 0.004 0.096 0.000
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.0404 0.87591 0.000 0.000 0.000 0.988 0.012
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0162 0.92032 0.000 0.996 0.000 0.000 0.004
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.86228 0.000 0.000 1.000 0.000 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0992 0.90617 0.024 0.968 0.000 0.000 0.008
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.2605 0.81812 0.000 0.000 0.000 0.852 0.148
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.0404 0.87626 0.000 0.000 0.000 0.988 0.012
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.0324 0.87687 0.004 0.000 0.000 0.992 0.004
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.4030 0.40012 0.000 0.648 0.000 0.000 0.352
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 5 0.2852 0.79248 0.000 0.172 0.000 0.000 0.828
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.0566 0.87576 0.000 0.000 0.004 0.984 0.012
#> A8AE6F61-125B-4103-9F45-3F4C86234826 4 0.4238 0.37857 0.368 0.000 0.000 0.628 0.004
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0000 0.86228 0.000 0.000 1.000 0.000 0.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.1121 0.88274 0.956 0.000 0.000 0.044 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.0404 0.85514 0.000 0.000 0.988 0.000 0.012
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.2605 0.81903 0.000 0.000 0.000 0.852 0.148
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0000 0.89948 1.000 0.000 0.000 0.000 0.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0162 0.89873 0.996 0.000 0.000 0.000 0.004
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0963 0.90356 0.000 0.964 0.000 0.000 0.036
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 4 0.3509 0.75163 0.008 0.000 0.004 0.792 0.196
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 4 0.0404 0.87591 0.000 0.000 0.000 0.988 0.012
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.2813 0.78992 0.832 0.000 0.000 0.168 0.000
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 4 0.0703 0.87226 0.024 0.000 0.000 0.976 0.000
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 4 0.0162 0.87629 0.004 0.000 0.000 0.996 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 4 0.2179 0.83876 0.100 0.000 0.000 0.896 0.004
#> 7465251E-7BC8-4179-8950-4E41836CF36B 5 0.2900 0.79427 0.000 0.028 0.108 0.000 0.864
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.4538 0.19348 0.540 0.000 0.000 0.452 0.008
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0290 0.91908 0.000 0.992 0.000 0.000 0.008
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 2 0.2871 0.83541 0.000 0.872 0.000 0.040 0.088
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.3783 0.63765 0.252 0.740 0.000 0.000 0.008
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.0000 0.86228 0.000 0.000 1.000 0.000 0.000
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 1 0.1502 0.87045 0.940 0.000 0.056 0.000 0.004
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 0.92050 0.000 1.000 0.000 0.000 0.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 4 0.0404 0.87591 0.000 0.000 0.000 0.988 0.012
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.0000 0.86228 0.000 0.000 1.000 0.000 0.000
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 3 0.4361 0.66924 0.048 0.000 0.776 0.016 0.160
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.2890 0.78681 0.836 0.000 0.000 0.160 0.004
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0162 0.89931 0.996 0.000 0.000 0.000 0.004
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.0162 0.86105 0.000 0.000 0.996 0.000 0.004
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 4 0.0404 0.87576 0.000 0.000 0.000 0.988 0.012
#> B54317C9-8704-42A6-BE96-E12855874596 3 0.0703 0.85111 0.000 0.000 0.976 0.000 0.024
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.1484 0.86857 0.944 0.048 0.000 0.000 0.008
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0162 0.92032 0.000 0.996 0.000 0.000 0.004
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.3928 0.61106 0.700 0.000 0.000 0.296 0.004
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 3 0.4004 0.63470 0.004 0.000 0.748 0.232 0.016
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 4 0.0703 0.87207 0.024 0.000 0.000 0.976 0.000
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.2124 0.86016 0.004 0.900 0.000 0.000 0.096
#> A6177818-114B-437B-9928-A6747A788109 1 0.0867 0.89379 0.976 0.008 0.000 0.008 0.008
#> E7064800-48FD-492A-A074-84A0B2452445 1 0.1808 0.87243 0.936 0.000 0.044 0.012 0.008
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.0404 0.91755 0.000 0.988 0.000 0.000 0.012
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0000 0.89948 1.000 0.000 0.000 0.000 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.0290 0.91908 0.000 0.992 0.000 0.000 0.008
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.0000 0.86228 0.000 0.000 1.000 0.000 0.000
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 4 0.0162 0.87608 0.004 0.000 0.000 0.996 0.000
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 4 0.2358 0.82905 0.104 0.000 0.000 0.888 0.008
#> EB235E9A-E453-4108-AD4F-31260F4340A6 4 0.1877 0.86339 0.012 0.000 0.000 0.924 0.064
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 4 0.3274 0.70419 0.220 0.000 0.000 0.780 0.000
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 4 0.4506 0.62372 0.004 0.000 0.036 0.716 0.244
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.0162 0.89931 0.996 0.000 0.000 0.000 0.004
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 4 0.0955 0.87247 0.028 0.000 0.000 0.968 0.004
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 4 0.0000 0.87604 0.000 0.000 0.000 1.000 0.000
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 3 0.0000 0.86228 0.000 0.000 1.000 0.000 0.000
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 1 0.4030 0.41073 0.648 0.000 0.352 0.000 0.000
#> 94128D59-A5BB-4460-A671-5E1571726C4D 5 0.4361 0.66563 0.000 0.032 0.012 0.204 0.752
#> 12BE2E3A-1B57-4EEE-B130-E70B6BE5A96B 1 0.0162 0.89931 0.996 0.000 0.000 0.000 0.004
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#> 0A3AB174-07D0-4396-A6C5-9ECEEBE8651C 1 0.0162 0.89873 0.996 0.000 0.000 0.000 0.004
#> 86ACC3DD-A9E8-4FDA-ACF9-33175CE06629 4 0.6284 0.49045 0.188 0.000 0.000 0.524 0.288
#> A3150223-5399-4CC6-90A7-6046F39FAC3E 2 0.0000 0.92050 0.000 1.000 0.000 0.000 0.000
#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 1 0.2806 0.80139 0.844 0.000 0.000 0.152 0.004
#> 99D8A9E2-773C-4142-9A93-5F749961F712 1 0.0794 0.89197 0.972 0.000 0.000 0.028 0.000
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 3 0.3086 0.69774 0.000 0.000 0.816 0.180 0.004
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 5 0.4086 0.52769 0.012 0.000 0.000 0.284 0.704
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 5 0.4354 0.53931 0.008 0.000 0.368 0.000 0.624
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 4 0.1638 0.85196 0.064 0.000 0.000 0.932 0.004
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 2 0.0290 0.91908 0.000 0.992 0.000 0.000 0.008
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 2 0.1942 0.86496 0.068 0.920 0.000 0.000 0.012
#> 14003AA2-81B6-4143-98AD-124903BAE56B 4 0.0162 0.87597 0.000 0.000 0.000 0.996 0.004
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.0898 0.88713 0.972 0.020 0.000 0.000 0.008
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0404 0.91806 0.000 0.988 0.000 0.000 0.012
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.0963 0.90487 0.000 0.964 0.000 0.000 0.036
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 5 0.2852 0.79248 0.000 0.172 0.000 0.000 0.828
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 5 0.2699 0.74559 0.000 0.008 0.012 0.100 0.880
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 4 0.4743 0.74509 0.000 0.020 0.120 0.764 0.096
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.3949 0.55210 0.668 0.000 0.000 0.332 0.000
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0162 0.89931 0.996 0.000 0.000 0.000 0.004
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 5 0.2852 0.77178 0.000 0.000 0.172 0.000 0.828
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.0000 0.86228 0.000 0.000 1.000 0.000 0.000
#> 420503AA-3799-4816-BEEC-0B4D05988D38 5 0.3437 0.79675 0.000 0.048 0.120 0.000 0.832
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0000 0.89948 1.000 0.000 0.000 0.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.89948 1.000 0.000 0.000 0.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 5 0.3003 0.78502 0.000 0.188 0.000 0.000 0.812
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.1205 0.88455 0.956 0.000 0.000 0.040 0.004
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.4150 0.42235 0.612 0.000 0.000 0.388 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 3 0.4046 0.59669 0.000 0.008 0.696 0.000 0.296
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 2 0.0992 0.91089 0.000 0.968 0.000 0.008 0.024
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 5 0.3242 0.77624 0.000 0.012 0.172 0.000 0.816
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0162 0.92022 0.000 0.996 0.000 0.000 0.004
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.92050 0.000 1.000 0.000 0.000 0.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.4684 0.15507 0.536 0.000 0.008 0.452 0.004
#> B232056E-59B2-4D05-983D-8740D6994A71 5 0.2464 0.78946 0.000 0.016 0.096 0.000 0.888
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 5 0.2891 0.77003 0.000 0.000 0.176 0.000 0.824
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0290 0.91954 0.000 0.992 0.000 0.000 0.008
#> 000F8487-E841-4370-B958-85AB3A6D88F9 3 0.0000 0.86228 0.000 0.000 1.000 0.000 0.000
#> B822A426-98C1-4976-9FC2-16347992AD78 4 0.0693 0.87538 0.000 0.000 0.012 0.980 0.008
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.92050 0.000 1.000 0.000 0.000 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.1341 0.87481 0.944 0.000 0.000 0.056 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.92050 0.000 1.000 0.000 0.000 0.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.0162 0.86105 0.000 0.000 0.996 0.000 0.004
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 5 0.2891 0.79097 0.000 0.176 0.000 0.000 0.824
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.0000 0.86228 0.000 0.000 1.000 0.000 0.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.4522 0.22288 0.440 0.552 0.000 0.000 0.008
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.0290 0.87598 0.000 0.000 0.000 0.992 0.008
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.1792 0.87344 0.000 0.916 0.000 0.000 0.084
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.0510 0.91702 0.000 0.984 0.000 0.000 0.016
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0703 0.91226 0.000 0.976 0.000 0.000 0.024
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.3132 0.74737 0.008 0.820 0.000 0.000 0.172
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 5 0.3209 0.77137 0.000 0.008 0.180 0.000 0.812
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.2707 0.74620 0.000 0.000 0.860 0.132 0.008
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 5 0.3336 0.75444 0.000 0.228 0.000 0.000 0.772
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 2 0.4547 0.35101 0.400 0.588 0.000 0.000 0.012
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 5 0.3551 0.73760 0.056 0.000 0.008 0.096 0.840
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 5 0.3023 0.74634 0.008 0.000 0.028 0.096 0.868
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.0000 0.87604 0.000 0.000 0.000 1.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 4 0.4448 -0.00421 0.480 0.000 0.000 0.516 0.004
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.1282 0.87998 0.952 0.004 0.000 0.000 0.044
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 4 0.1410 0.86247 0.000 0.000 0.000 0.940 0.060
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.5071 0.45376 0.628 0.008 0.000 0.328 0.036
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.5363 0.61985 0.680 0.000 0.132 0.184 0.004
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.1442 0.90095 0.004 0.952 0.032 0.000 0.012
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.89948 1.000 0.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 4 0.0771 0.87390 0.020 0.000 0.000 0.976 0.004
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.92050 0.000 1.000 0.000 0.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.2130 0.84155 0.080 0.000 0.000 0.908 0.012
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0510 0.91830 0.000 0.984 0.000 0.000 0.016
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0162 0.89873 0.996 0.000 0.000 0.000 0.004
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.4850 0.61283 0.696 0.000 0.000 0.072 0.232
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0000 0.89948 1.000 0.000 0.000 0.000 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.4989 0.63316 0.000 0.708 0.000 0.168 0.124
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.0162 0.92022 0.000 0.996 0.000 0.000 0.004
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0162 0.92022 0.000 0.996 0.000 0.000 0.004
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.3969 0.56194 0.692 0.000 0.000 0.304 0.004
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.2813 0.79375 0.000 0.168 0.000 0.000 0.832
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.2891 0.74425 0.000 0.000 0.000 0.824 0.176
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.2230 0.81930 0.000 0.884 0.000 0.000 0.116
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.86228 0.000 0.000 1.000 0.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0579 0.91753 0.000 0.984 0.008 0.000 0.008
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 4 0.4009 0.74034 0.008 0.000 0.040 0.792 0.160
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.1588 0.88241 0.948 0.000 0.028 0.016 0.008
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0451 0.91992 0.000 0.988 0.000 0.004 0.008
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 5 0.2783 0.79821 0.000 0.116 0.012 0.004 0.868
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.4138 0.39941 0.616 0.000 0.384 0.000 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0162 0.92032 0.000 0.996 0.000 0.000 0.004
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0963 0.88864 0.964 0.000 0.000 0.036 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0162 0.86105 0.000 0.000 0.996 0.000 0.004
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 4 0.3766 0.61767 0.268 0.000 0.000 0.728 0.004
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.89948 1.000 0.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.3300 0.71524 0.204 0.000 0.000 0.792 0.004
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.3336 0.75632 0.000 0.228 0.000 0.000 0.772
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.6862 0.51230 0.600 0.068 0.004 0.164 0.164
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.1764 0.87116 0.064 0.928 0.000 0.000 0.008
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0290 0.89776 0.992 0.000 0.000 0.000 0.008
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.2338 0.77318 0.000 0.000 0.884 0.112 0.004
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.2966 0.76331 0.000 0.000 0.184 0.000 0.816
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.3661 0.53033 0.000 0.000 0.724 0.000 0.276
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.4150 0.44883 0.000 0.000 0.388 0.000 0.612
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.86228 0.000 0.000 1.000 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 2 0.3234 0.81846 0.000 0.852 0.000 0.064 0.084
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.0162 0.87597 0.000 0.000 0.000 0.996 0.004
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.1082 0.87275 0.028 0.000 0.000 0.964 0.008
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.0000 0.87604 0.000 0.000 0.000 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.2852 0.77178 0.000 0.000 0.172 0.000 0.828
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0162 0.89873 0.996 0.000 0.000 0.000 0.004
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.3424 0.74548 0.000 0.240 0.000 0.000 0.760
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.1908 0.85481 0.908 0.000 0.000 0.092 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0404 0.91806 0.000 0.988 0.000 0.000 0.012
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.2966 0.76593 0.000 0.000 0.184 0.000 0.816
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0290 0.89776 0.992 0.000 0.000 0.000 0.008
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0324 0.89900 0.992 0.000 0.000 0.004 0.004
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.86228 0.000 0.000 1.000 0.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0162 0.89931 0.996 0.000 0.000 0.000 0.004
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0162 0.92022 0.000 0.996 0.000 0.000 0.004
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0451 0.89817 0.988 0.000 0.000 0.008 0.004
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.86228 0.000 0.000 1.000 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0162 0.89931 0.996 0.000 0.000 0.000 0.004
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.4504 0.17159 0.564 0.428 0.000 0.000 0.008
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.0162 0.92032 0.000 0.996 0.000 0.000 0.004
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.89948 1.000 0.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.4425 0.30261 0.000 0.000 0.600 0.392 0.008
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.86228 0.000 0.000 1.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.89948 1.000 0.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.2930 0.79509 0.000 0.164 0.004 0.000 0.832
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.6557 0.11034 0.212 0.000 0.000 0.448 0.340
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0290 0.91872 0.000 0.992 0.000 0.000 0.008
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.2930 0.79509 0.000 0.164 0.004 0.000 0.832
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.3274 0.72109 0.000 0.000 0.220 0.000 0.780
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.2505 0.78964 0.000 0.020 0.092 0.000 0.888
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0162 0.86105 0.000 0.000 0.996 0.000 0.004
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0000 0.87604 0.000 0.000 0.000 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0613 0.89617 0.984 0.004 0.000 0.004 0.008
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.1211 0.87553 0.016 0.000 0.000 0.960 0.024
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 4 0.6204 0.36857 0.000 0.168 0.008 0.580 0.244
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.4941 0.67012 0.708 0.000 0.080 0.208 0.004
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0609 0.91453 0.000 0.980 0.000 0.000 0.020
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.0798 0.87617 0.008 0.000 0.000 0.976 0.016
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0290 0.87616 0.000 0.000 0.000 0.992 0.008
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 5 0.3816 0.65703 0.000 0.304 0.000 0.000 0.696
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0260 0.9037 0.000 0.992 0.000 0.000 0.000 0.008
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.3882 0.6110 0.000 0.000 0.012 0.716 0.012 0.260
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.0767 0.8449 0.000 0.004 0.012 0.000 0.976 0.008
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.1957 0.8348 0.888 0.000 0.000 0.000 0.000 0.112
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.3905 0.5071 0.316 0.000 0.000 0.668 0.000 0.016
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.4345 0.6570 0.040 0.000 0.036 0.756 0.004 0.164
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.3687 0.6730 0.016 0.000 0.032 0.788 0.000 0.164
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 5 0.6543 0.4776 0.032 0.000 0.180 0.016 0.520 0.252
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#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.4975 0.3738 0.000 0.000 0.312 0.000 0.596 0.092
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.8151 0.000 0.000 1.000 0.000 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 2 0.1262 0.8982 0.000 0.956 0.000 0.008 0.016 0.020
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.1007 0.7027 0.000 0.000 0.000 0.956 0.000 0.044
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.2948 0.6923 0.092 0.000 0.000 0.848 0.000 0.060
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.0458 0.7112 0.000 0.000 0.000 0.984 0.000 0.016
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.0692 0.8421 0.000 0.000 0.020 0.000 0.976 0.004
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0508 0.8705 0.984 0.000 0.000 0.004 0.000 0.012
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.1913 0.8148 0.000 0.080 0.000 0.000 0.908 0.012
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.4072 0.2564 0.448 0.000 0.000 0.544 0.000 0.008
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0146 0.9042 0.000 0.996 0.000 0.000 0.000 0.004
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.2527 0.8238 0.000 0.004 0.032 0.000 0.880 0.084
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0146 0.8715 0.996 0.000 0.000 0.004 0.000 0.000
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#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0458 0.8696 0.984 0.000 0.000 0.000 0.000 0.016
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0260 0.9049 0.000 0.992 0.000 0.000 0.008 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0291 0.8715 0.992 0.000 0.000 0.004 0.000 0.004
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.8151 0.000 0.000 1.000 0.000 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0547 0.8686 0.980 0.000 0.000 0.000 0.000 0.020
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.3885 0.6256 0.736 0.220 0.000 0.000 0.000 0.044
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.3791 0.7095 0.004 0.748 0.000 0.008 0.016 0.224
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0146 0.8711 0.996 0.000 0.000 0.000 0.000 0.004
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.3985 0.6359 0.000 0.000 0.760 0.140 0.000 0.100
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.8151 0.000 0.000 1.000 0.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0260 0.8714 0.992 0.000 0.000 0.000 0.000 0.008
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.0820 0.8432 0.000 0.016 0.000 0.000 0.972 0.012
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.6858 0.2881 0.172 0.000 0.000 0.504 0.200 0.124
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0291 0.9049 0.000 0.992 0.000 0.000 0.004 0.004
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.0508 0.8427 0.000 0.012 0.000 0.000 0.984 0.004
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.1913 0.8215 0.000 0.000 0.080 0.000 0.908 0.012
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.0508 0.8423 0.000 0.000 0.012 0.000 0.984 0.004
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.1204 0.7943 0.000 0.000 0.944 0.000 0.000 0.056
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0790 0.7014 0.000 0.000 0.000 0.968 0.000 0.032
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.1845 0.8444 0.916 0.008 0.000 0.004 0.000 0.072
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.3852 0.1660 0.012 0.000 0.000 0.664 0.000 0.324
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.6538 0.4750 0.000 0.148 0.000 0.096 0.540 0.216
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.5757 0.5564 0.120 0.000 0.036 0.628 0.008 0.208
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.1074 0.8981 0.000 0.960 0.000 0.000 0.028 0.012
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.2300 0.6972 0.000 0.000 0.000 0.856 0.000 0.144
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.1957 0.6384 0.000 0.000 0.000 0.888 0.000 0.112
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 5 0.3732 0.7264 0.000 0.144 0.000 0.000 0.780 0.076
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 17416 rows and 433 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 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 0.361 0.765 0.878 0.285 0.754 0.754
#> 3 3 0.377 0.743 0.873 0.170 0.977 0.970
#> 4 4 0.250 0.521 0.766 0.591 0.714 0.614
#> 5 5 0.344 0.521 0.704 0.196 0.866 0.718
#> 6 6 0.396 0.476 0.710 0.090 0.944 0.848
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 1 0.4431 0.8315 0.908 0.092
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.2948 0.8560 0.948 0.052
#> B5567E00-32AA-48D8-8087-1088C22B0994 1 0.9996 -0.2989 0.512 0.488
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.8748 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0376 0.8739 0.996 0.004
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.1633 0.8702 0.976 0.024
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.3114 0.8558 0.944 0.056
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 1 0.6438 0.7271 0.836 0.164
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 1 0.6148 0.7654 0.848 0.152
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.8748 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 1 0.6048 0.7784 0.852 0.148
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.7453 0.8322 0.212 0.788
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 1 0.9977 -0.1335 0.528 0.472
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.3274 0.8508 0.940 0.060
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.4022 0.8379 0.920 0.080
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.8748 1.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 2 0.9000 0.7943 0.316 0.684
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 1 0.8713 0.5167 0.708 0.292
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.4298 0.8405 0.912 0.088
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.8748 1.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 1 0.1633 0.8724 0.976 0.024
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.2603 0.8612 0.956 0.044
#> C1323790-6C24-4E54-A266-AE66588C1DD5 1 0.9608 0.0215 0.616 0.384
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.8748 1.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 1 0.8499 0.5264 0.724 0.276
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.8748 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.6801 0.7313 0.820 0.180
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 1 0.6801 0.7313 0.820 0.180
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0376 0.8746 0.996 0.004
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 1 0.2236 0.8703 0.964 0.036
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.1843 0.8697 0.972 0.028
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.8748 1.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0672 0.8744 0.992 0.008
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 1 0.5408 0.7862 0.876 0.124
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#> B03E342C-7DA6-4D7D-95F6-C6506B374627 1 0.6623 0.7803 0.828 0.172
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 1 0.4690 0.8383 0.900 0.100
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.8748 1.000 0.000
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#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 1 0.4939 0.8349 0.892 0.108
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 1 0.8499 0.5168 0.724 0.276
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#> DC33C2B1-27D4-4997-AAFD-633162F52895 1 0.5294 0.8052 0.880 0.120
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.3584 0.8458 0.932 0.068
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#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 1 0.6148 0.7652 0.848 0.152
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.7139 0.8293 0.196 0.804
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#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 1 0.4298 0.8416 0.912 0.088
#> 164DD212-0839-4644-8FEE-E6A07A60803B 1 0.8386 0.5005 0.732 0.268
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.0672 0.8751 0.992 0.008
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 2 0.7453 0.8322 0.212 0.788
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#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.0000 0.8748 1.000 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 1 0.4690 0.8261 0.900 0.100
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.5059 0.8106 0.888 0.112
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 1 0.3584 0.8608 0.932 0.068
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 1 0.3274 0.8507 0.940 0.060
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 1 1.0000 -0.4229 0.504 0.496
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 1 0.3733 0.8406 0.928 0.072
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 1 0.1843 0.8719 0.972 0.028
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.1633 0.8742 0.976 0.024
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.1843 0.8697 0.972 0.028
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 1 0.2603 0.8617 0.956 0.044
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.8748 1.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.2043 0.8670 0.968 0.032
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.3274 0.8569 0.940 0.060
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0672 0.8744 0.992 0.008
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.1633 0.8698 0.976 0.024
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.2948 0.8590 0.948 0.052
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 1 0.9460 0.4177 0.636 0.364
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.8748 1.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.8748 1.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 1 0.5519 0.8003 0.872 0.128
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.8748 1.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 1 0.2423 0.8704 0.960 0.040
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.8748 1.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.1843 0.8722 0.972 0.028
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 2 0.9661 0.7296 0.392 0.608
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.9754 0.6437 0.408 0.592
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 1 0.6048 0.8016 0.852 0.148
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 1 0.8207 0.6748 0.744 0.256
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0938 0.8742 0.988 0.012
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 1 0.8327 0.5576 0.736 0.264
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.0376 0.8739 0.996 0.004
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 1 0.6048 0.8064 0.852 0.148
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 2 0.7056 0.8420 0.192 0.808
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 1 0.8909 0.5495 0.692 0.308
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 1 0.3114 0.8577 0.944 0.056
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.4431 0.8510 0.908 0.092
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 1 0.1633 0.8738 0.976 0.024
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 1 0.2043 0.8707 0.968 0.032
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.9358 0.1668 0.648 0.352
#> A6C06064-8194-4DFB-9262-A30E63DB2514 1 0.4815 0.8393 0.896 0.104
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0672 0.8742 0.992 0.008
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.9933 0.6182 0.452 0.548
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.8748 1.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.8748 1.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.8748 1.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 1 0.7950 0.6807 0.760 0.240
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.2423 0.8641 0.960 0.040
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 1 0.5408 0.8037 0.876 0.124
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.8748 1.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.7056 0.6671 0.808 0.192
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.9988 0.4751 0.480 0.520
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.9988 0.4751 0.480 0.520
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.9988 0.4751 0.480 0.520
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.7056 0.8420 0.192 0.808
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.1633 0.8733 0.976 0.024
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.8748 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.1184 0.8737 0.984 0.016
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.8748 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 1 0.9850 -0.1157 0.572 0.428
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.8748 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 1 0.9732 0.0401 0.596 0.404
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.8748 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 1 0.8327 0.6519 0.736 0.264
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.8608 0.8157 0.284 0.716
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.2236 0.8730 0.964 0.036
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.8748 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.9393 0.7648 0.356 0.644
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.8748 1.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 1 0.7815 0.6953 0.768 0.232
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.8748 1.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.7056 0.8420 0.192 0.808
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.8748 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.4022 0.8379 0.920 0.080
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.1633 0.8732 0.976 0.024
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.8748 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 1 0.7219 0.6648 0.800 0.200
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.7056 0.8420 0.192 0.808
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.8748 1.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 1 0.8386 0.5378 0.732 0.268
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.2043 0.8682 0.968 0.032
#> B013515B-3825-40E0-9854-04EC0AFE600D 1 0.4690 0.8383 0.900 0.100
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 1 0.3274 0.8555 0.940 0.060
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 1 0.6048 0.7657 0.852 0.148
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 1 0.9286 0.2817 0.656 0.344
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.9944 0.6100 0.456 0.544
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.8748 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.2043 0.8716 0.968 0.032
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.8748 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 1 0.6438 0.7389 0.836 0.164
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.2603 0.8652 0.956 0.044
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 1 0.3274 0.8645 0.940 0.060
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0672 0.8744 0.992 0.008
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.8748 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 1 0.5294 0.8249 0.880 0.120
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 1 0.3797 8.33e-01 0.892 0.052 0.056
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.2845 8.50e-01 0.920 0.012 0.068
#> B5567E00-32AA-48D8-8087-1088C22B0994 3 0.7484 2.67e-01 0.460 0.036 0.504
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0237 8.73e-01 0.996 0.004 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0237 8.72e-01 0.996 0.000 0.004
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.1643 8.67e-01 0.956 0.000 0.044
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.2165 8.57e-01 0.936 0.000 0.064
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 1 0.4915 7.26e-01 0.804 0.012 0.184
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 1 0.4953 7.47e-01 0.808 0.016 0.176
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 8.73e-01 1.000 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 1 0.5423 7.79e-01 0.820 0.096 0.084
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.4652 7.48e-01 0.064 0.856 0.080
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 1 0.8070 -1.43e-01 0.472 0.064 0.464
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.3120 8.45e-01 0.908 0.012 0.080
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.3267 8.42e-01 0.912 0.044 0.044
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0237 8.73e-01 0.996 0.004 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 2 0.6443 5.94e-01 0.240 0.720 0.040
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 1 0.6984 4.88e-01 0.656 0.040 0.304
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.3459 8.41e-01 0.892 0.012 0.096
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 8.73e-01 1.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 1 0.1585 8.70e-01 0.964 0.008 0.028
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.2446 8.59e-01 0.936 0.012 0.052
#> C1323790-6C24-4E54-A266-AE66588C1DD5 1 0.6617 -3.64e-02 0.556 0.008 0.436
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 8.73e-01 1.000 0.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 1 0.6445 4.98e-01 0.672 0.020 0.308
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 8.73e-01 1.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.5884 7.40e-01 0.788 0.148 0.064
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 1 0.5884 7.40e-01 0.788 0.148 0.064
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0592 8.73e-01 0.988 0.000 0.012
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 1 0.2269 8.67e-01 0.944 0.016 0.040
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.1163 8.70e-01 0.972 0.000 0.028
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 8.73e-01 1.000 0.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0424 8.73e-01 0.992 0.008 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 1 0.4755 7.37e-01 0.808 0.008 0.184
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 8.73e-01 1.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 1 0.2066 8.59e-01 0.940 0.000 0.060
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.1647 8.71e-01 0.960 0.004 0.036
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.1643 8.67e-01 0.956 0.000 0.044
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 8.73e-01 1.000 0.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 8.73e-01 1.000 0.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 1 0.6148 7.59e-01 0.776 0.076 0.148
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 1 0.4253 8.35e-01 0.872 0.048 0.080
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 8.73e-01 1.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 8.73e-01 1.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 8.73e-01 1.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 8.73e-01 1.000 0.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.6359 5.30e-01 0.364 0.008 0.628
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 1 0.4995 8.16e-01 0.840 0.068 0.092
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 1 0.6313 4.94e-01 0.676 0.016 0.308
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 8.73e-01 1.000 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 1 0.4658 8.05e-01 0.856 0.068 0.076
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.2926 8.49e-01 0.924 0.036 0.040
#> 16463364-F250-4D42-B5C6-309333E40B83 1 0.7568 6.25e-01 0.680 0.108 0.212
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 1 0.4189 8.20e-01 0.876 0.056 0.068
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.2860 6.18e-01 0.084 0.004 0.912
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 1 0.4945 8.06e-01 0.840 0.104 0.056
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 8.73e-01 1.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 8.73e-01 1.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.4569 8.06e-01 0.860 0.068 0.072
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 1 0.6208 7.55e-01 0.772 0.076 0.152
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 1 0.5158 6.29e-01 0.764 0.004 0.232
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 8.73e-01 1.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 1 0.5331 7.33e-01 0.792 0.024 0.184
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.4316 7.35e-01 0.044 0.868 0.088
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 1 0.5851 7.76e-01 0.792 0.068 0.140
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.3193 6.27e-01 0.100 0.004 0.896
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 1 0.3983 8.39e-01 0.884 0.048 0.068
#> 164DD212-0839-4644-8FEE-E6A07A60803B 1 0.5928 5.11e-01 0.696 0.008 0.296
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.0475 8.73e-01 0.992 0.004 0.004
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 2 0.4652 7.48e-01 0.064 0.856 0.080
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 1 0.6231 7.52e-01 0.772 0.080 0.148
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.6075 5.77e-01 0.316 0.008 0.676
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.6451 -7.35e-02 0.560 0.004 0.436
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0000 8.73e-01 1.000 0.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 1 0.5304 8.02e-01 0.824 0.068 0.108
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.2772 6.15e-01 0.080 0.004 0.916
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 1 0.4379 8.18e-01 0.868 0.060 0.072
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.2434 8.65e-01 0.940 0.036 0.024
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0592 8.72e-01 0.988 0.012 0.000
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#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 8.73e-01 1.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 1 0.5580 6.17e-01 0.736 0.008 0.256
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.2772 6.15e-01 0.080 0.004 0.916
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 8.73e-01 1.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 1 0.6255 5.15e-01 0.684 0.016 0.300
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.1411 8.68e-01 0.964 0.000 0.036
#> B013515B-3825-40E0-9854-04EC0AFE600D 1 0.4253 8.35e-01 0.872 0.048 0.080
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 1 0.3377 8.38e-01 0.896 0.012 0.092
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 1 0.4796 7.02e-01 0.780 0.000 0.220
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 1 0.6264 2.86e-01 0.616 0.004 0.380
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.6275 5.47e-01 0.348 0.008 0.644
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 8.73e-01 1.000 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.1636 8.71e-01 0.964 0.016 0.020
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 8.73e-01 1.000 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 1 0.4912 7.24e-01 0.796 0.008 0.196
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.1860 8.65e-01 0.948 0.000 0.052
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 1 0.3554 8.52e-01 0.900 0.036 0.064
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0747 8.72e-01 0.984 0.000 0.016
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 8.73e-01 1.000 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 1 0.4652 8.23e-01 0.856 0.064 0.080
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 1 0.4866 0.21228 0.596 0.404 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.5866 0.40658 0.644 0.304 0.048 0.004
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.7381 0.05461 0.144 0.472 0.380 0.004
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.1022 0.74907 0.968 0.032 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.2868 0.70743 0.864 0.136 0.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.3382 0.71715 0.876 0.080 0.040 0.004
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.5256 0.49861 0.692 0.272 0.036 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 1 0.7146 0.15924 0.560 0.284 0.152 0.004
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.6740 0.56623 0.332 0.568 0.096 0.004
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0524 0.74506 0.988 0.008 0.004 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.5299 0.42080 0.388 0.600 0.008 0.004
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.1305 0.78307 0.036 0.000 0.004 0.960
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.7237 0.18104 0.124 0.552 0.312 0.012
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.6126 0.39049 0.632 0.300 0.064 0.004
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.4164 0.52428 0.736 0.264 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.1661 0.74541 0.944 0.052 0.004 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.4175 0.66523 0.200 0.016 0.000 0.784
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.6819 0.50048 0.208 0.604 0.188 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.5796 0.44038 0.672 0.268 0.056 0.004
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0657 0.75008 0.984 0.012 0.004 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 1 0.4587 0.60659 0.776 0.192 0.028 0.004
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.5521 0.46756 0.664 0.300 0.032 0.004
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.7584 -0.04975 0.348 0.204 0.448 0.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0657 0.74479 0.984 0.012 0.004 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.6995 0.47643 0.204 0.600 0.192 0.004
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.74716 1.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.7597 0.26804 0.588 0.236 0.040 0.136
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 1 0.7597 0.26804 0.588 0.236 0.040 0.136
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.2197 0.74077 0.928 0.048 0.024 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 1 0.4910 0.49673 0.704 0.276 0.020 0.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.4978 0.44121 0.664 0.324 0.012 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0657 0.74479 0.984 0.012 0.004 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0859 0.74692 0.980 0.008 0.004 0.008
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 1 0.7265 0.08566 0.528 0.288 0.184 0.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0188 0.74829 0.996 0.004 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 1 0.5742 0.25626 0.596 0.368 0.036 0.000
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.4957 0.44496 0.668 0.320 0.012 0.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.3382 0.71715 0.876 0.080 0.040 0.004
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0657 0.74479 0.984 0.012 0.004 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0376 0.74611 0.992 0.004 0.004 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.4420 0.62709 0.240 0.748 0.012 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 1 0.5404 -0.09452 0.512 0.476 0.012 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0524 0.74595 0.988 0.008 0.004 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0469 0.74907 0.988 0.012 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.74716 1.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.1042 0.74913 0.972 0.020 0.008 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.6115 0.56370 0.172 0.148 0.680 0.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.5723 0.46669 0.388 0.580 0.032 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.7282 0.49051 0.236 0.560 0.200 0.004
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0376 0.74637 0.992 0.004 0.004 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 1 0.5000 -0.14114 0.504 0.496 0.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.3610 0.61209 0.800 0.200 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.4882 0.55673 0.164 0.776 0.056 0.004
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 1 0.5143 0.03188 0.540 0.456 0.004 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0657 0.64823 0.004 0.012 0.984 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 1 0.6182 -0.04709 0.520 0.428 0.000 0.052
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0376 0.74734 0.992 0.004 0.004 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0188 0.74601 0.996 0.000 0.004 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.4981 0.00471 0.536 0.464 0.000 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.4319 0.62753 0.228 0.760 0.012 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 1 0.6262 0.33732 0.660 0.132 0.208 0.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0188 0.74829 0.996 0.004 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.6283 0.60162 0.264 0.644 0.088 0.004
#> D6654189-0570-4603-8C92-3032F2CF7EF3 4 0.1388 0.75744 0.000 0.028 0.012 0.960
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.4776 0.63322 0.244 0.732 0.024 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.1388 0.64825 0.012 0.028 0.960 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 1 0.4991 0.25757 0.608 0.388 0.004 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 1 0.7765 -0.13538 0.472 0.240 0.284 0.004
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.1576 0.74559 0.948 0.048 0.004 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.1305 0.78307 0.036 0.000 0.004 0.960
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.4086 0.61704 0.216 0.776 0.008 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.5849 0.57995 0.164 0.132 0.704 0.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.7082 0.03475 0.428 0.124 0.448 0.000
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0524 0.74506 0.988 0.008 0.004 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.6076 0.18829 0.480 0.484 0.028 0.008
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0524 0.64687 0.004 0.008 0.988 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 1 0.5155 -0.03677 0.528 0.468 0.004 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.4768 0.66004 0.804 0.132 0.024 0.040
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.1471 0.74280 0.960 0.024 0.004 0.012
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0524 0.75035 0.988 0.008 0.004 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 1 0.5339 0.31865 0.624 0.356 0.020 0.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.6512 0.54758 0.344 0.576 0.076 0.004
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 1 0.3764 0.67489 0.816 0.172 0.012 0.000
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0376 0.74611 0.992 0.004 0.004 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.1411 0.65293 0.020 0.020 0.960 0.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0188 0.74601 0.996 0.000 0.004 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.1489 0.64584 0.004 0.044 0.952 0.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 1 0.4570 0.63676 0.812 0.064 0.008 0.116
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.1557 0.74229 0.944 0.056 0.000 0.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.74716 1.000 0.000 0.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.6827 0.61045 0.304 0.568 0.128 0.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 1 0.6437 0.36044 0.624 0.280 0.092 0.004
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 1 0.4173 0.65694 0.804 0.172 0.020 0.004
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.0895 0.75080 0.976 0.020 0.004 0.000
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.1489 0.74846 0.952 0.044 0.004 0.000
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.0657 0.74479 0.984 0.012 0.004 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.0921 0.75063 0.972 0.028 0.000 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.7697 0.35583 0.236 0.488 0.272 0.004
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.2329 0.73629 0.916 0.072 0.012 0.000
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.5865 0.43421 0.412 0.552 0.036 0.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.4400 0.56665 0.744 0.248 0.004 0.004
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.4899 0.46473 0.688 0.300 0.008 0.004
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.0524 0.64687 0.004 0.008 0.988 0.000
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 1 0.5344 0.47430 0.668 0.300 0.032 0.000
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.5080 0.34811 0.420 0.576 0.000 0.004
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 2 0.6979 0.38327 0.428 0.488 0.064 0.020
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.1411 0.65293 0.020 0.020 0.960 0.000
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 1 0.6058 0.37583 0.624 0.308 0.068 0.000
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.0376 0.74734 0.992 0.004 0.004 0.000
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0000 0.74716 1.000 0.000 0.000 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.5708 0.59094 0.160 0.124 0.716 0.000
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.1545 0.74834 0.952 0.040 0.008 0.000
#> B54317C9-8704-42A6-BE96-E12855874596 1 0.7637 -0.24174 0.448 0.396 0.144 0.012
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.5028 0.22994 0.596 0.400 0.004 0.000
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.5080 0.34811 0.420 0.576 0.000 0.004
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.0895 0.75068 0.976 0.020 0.004 0.000
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 1 0.5594 0.48098 0.672 0.284 0.040 0.004
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 1 0.0376 0.74637 0.992 0.004 0.004 0.000
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 1 0.5155 -0.03677 0.528 0.468 0.004 0.000
#> A6177818-114B-437B-9928-A6747A788109 1 0.0000 0.74716 1.000 0.000 0.000 0.000
#> E7064800-48FD-492A-A074-84A0B2452445 3 0.6275 0.53281 0.204 0.136 0.660 0.000
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.4717 0.46985 0.112 0.800 0.084 0.004
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0188 0.74829 0.996 0.004 0.000 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.6896 0.59644 0.292 0.568 0.140 0.000
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.0524 0.64687 0.004 0.008 0.988 0.000
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 1 0.2365 0.74163 0.920 0.064 0.012 0.004
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 1 0.0469 0.74620 0.988 0.012 0.000 0.000
#> EB235E9A-E453-4108-AD4F-31260F4340A6 1 0.7080 0.25027 0.584 0.240 0.172 0.004
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 1 0.0592 0.74951 0.984 0.016 0.000 0.000
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 1 0.5150 0.61315 0.768 0.140 0.088 0.004
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.0000 0.74716 1.000 0.000 0.000 0.000
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 1 0.1004 0.75039 0.972 0.024 0.004 0.000
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 1 0.0188 0.74601 0.996 0.000 0.004 0.000
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 3 0.0524 0.64687 0.004 0.008 0.988 0.000
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 3 0.5560 0.59254 0.156 0.116 0.728 0.000
#> 94128D59-A5BB-4460-A671-5E1571726C4D 1 0.5268 0.37628 0.636 0.348 0.012 0.004
#> 12BE2E3A-1B57-4EEE-B130-E70B6BE5A96B 1 0.0188 0.74868 0.996 0.004 0.000 0.000
#> 66600553-0E68-405C-81A3-4064DA18737D 3 0.1489 0.64681 0.004 0.044 0.952 0.000
#> C65B6272-DD2B-4075-963B-746F8904B395 2 0.5497 0.60414 0.296 0.668 0.032 0.004
#> EC7F0653-0AC0-47AF-A6A2-0475E149065F 1 0.6211 0.39329 0.632 0.292 0.072 0.004
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#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.3610 0.61766 0.800 0.200 0.000 0.000
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.5080 0.34811 0.420 0.576 0.000 0.004
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 1 0.5155 -0.03677 0.528 0.468 0.004 0.000
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.6864 0.46570 0.188 0.616 0.192 0.004
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 1 0.5255 0.48800 0.696 0.272 0.028 0.004
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 1 0.7451 -0.11597 0.484 0.368 0.140 0.008
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.0188 0.74788 0.996 0.004 0.000 0.000
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0336 0.74955 0.992 0.008 0.000 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 3 0.7771 -0.07246 0.200 0.396 0.400 0.004
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.0524 0.64687 0.004 0.008 0.988 0.000
#> 420503AA-3799-4816-BEEC-0B4D05988D38 2 0.7114 0.48168 0.220 0.584 0.192 0.004
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0524 0.74994 0.988 0.004 0.008 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.74716 1.000 0.000 0.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.4599 0.62501 0.248 0.736 0.016 0.000
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0000 0.74716 1.000 0.000 0.000 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0188 0.74601 0.996 0.000 0.004 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 4 0.6556 0.44776 0.256 0.072 0.024 0.648
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 1 0.3450 0.68205 0.836 0.156 0.008 0.000
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.7882 0.20042 0.228 0.408 0.360 0.004
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.5060 0.36851 0.412 0.584 0.000 0.004
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.5080 0.34811 0.420 0.576 0.000 0.004
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.4444 0.66692 0.816 0.112 0.068 0.004
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.7721 0.35740 0.244 0.484 0.268 0.004
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.7788 0.14405 0.208 0.428 0.360 0.004
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.5321 0.60947 0.296 0.672 0.032 0.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 3 0.8057 0.07770 0.188 0.336 0.456 0.020
#> B822A426-98C1-4976-9FC2-16347992AD78 1 0.7724 -0.09241 0.480 0.284 0.232 0.004
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.5080 0.34811 0.420 0.576 0.000 0.004
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0188 0.74601 0.996 0.000 0.004 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.5454 0.24108 0.468 0.520 0.008 0.004
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.5708 0.59094 0.160 0.124 0.716 0.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.7109 0.51408 0.224 0.584 0.188 0.004
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.3539 0.53386 0.000 0.176 0.820 0.004
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 1 0.4008 0.59335 0.756 0.244 0.000 0.000
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.1576 0.74664 0.948 0.048 0.004 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 1 0.5465 0.21122 0.588 0.392 0.000 0.020
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.5388 -0.01988 0.532 0.456 0.000 0.012
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.6015 0.32427 0.452 0.512 0.032 0.004
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 1 0.4543 0.42173 0.676 0.324 0.000 0.000
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 3 0.6423 0.36959 0.060 0.396 0.540 0.004
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 1 0.5457 0.57842 0.748 0.132 0.116 0.004
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 1 0.5255 0.48800 0.696 0.272 0.028 0.004
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.4353 0.59367 0.756 0.232 0.012 0.000
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.5220 0.35514 0.632 0.352 0.016 0.000
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 1 0.4892 0.62956 0.780 0.152 0.064 0.004
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0779 0.74432 0.980 0.016 0.004 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.4267 0.63783 0.788 0.188 0.024 0.000
#> 197E34CA-EF43-495C-8AA4-858982333429 2 0.5600 0.28594 0.468 0.512 0.020 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.1229 0.74294 0.968 0.020 0.004 0.008
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.2530 0.71805 0.888 0.112 0.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.5712 0.41640 0.644 0.308 0.048 0.000
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.7707 0.45206 0.304 0.476 0.216 0.004
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0469 0.74907 0.988 0.012 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0779 0.74432 0.980 0.016 0.004 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.5531 0.31838 0.436 0.548 0.004 0.012
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0336 0.74665 0.992 0.008 0.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 1 0.5191 0.46337 0.684 0.292 0.020 0.004
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0895 0.75042 0.976 0.020 0.004 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.4836 0.45210 0.672 0.320 0.008 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 3 0.5560 0.59254 0.156 0.116 0.728 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.6215 0.57785 0.192 0.140 0.000 0.668
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 1 0.6197 -0.09408 0.508 0.440 0.000 0.052
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.4970 0.56827 0.172 0.768 0.056 0.004
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.2773 0.71697 0.880 0.116 0.004 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.7136 0.51475 0.228 0.580 0.188 0.004
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.1489 0.74828 0.952 0.044 0.004 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.4976 0.62616 0.260 0.716 0.020 0.004
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0524 0.64687 0.004 0.008 0.988 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.7449 0.48799 0.332 0.480 0.188 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 1 0.5754 0.40731 0.644 0.312 0.040 0.004
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.6005 -0.15776 0.500 0.460 0.040 0.000
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 1 0.4616 0.60192 0.760 0.216 0.020 0.004
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 1 0.5540 0.39248 0.648 0.320 0.028 0.004
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.7436 0.07684 0.364 0.176 0.460 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 1 0.5478 0.02491 0.540 0.444 0.016 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.2704 0.70680 0.876 0.124 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.5883 0.57724 0.172 0.128 0.700 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0188 0.74601 0.996 0.000 0.004 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0188 0.74829 0.996 0.004 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0657 0.74479 0.984 0.012 0.004 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.5512 0.54820 0.172 0.728 0.100 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.5005 0.62469 0.776 0.144 0.076 0.004
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 1 0.5168 -0.14315 0.504 0.492 0.004 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0817 0.75022 0.976 0.024 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.7097 0.23568 0.584 0.232 0.180 0.004
#> 5663C145-B465-4509-BA9A-1A40584952BD 3 0.7778 0.01502 0.212 0.340 0.444 0.004
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.7778 0.01502 0.212 0.340 0.444 0.004
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.7778 0.01502 0.212 0.340 0.444 0.004
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0524 0.64687 0.004 0.008 0.988 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.2777 0.72023 0.888 0.104 0.004 0.004
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0657 0.74479 0.984 0.012 0.004 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.2365 0.74051 0.920 0.064 0.012 0.004
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.1489 0.74762 0.952 0.044 0.004 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.7792 0.17112 0.212 0.436 0.348 0.004
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0188 0.74825 0.996 0.004 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.7609 0.27532 0.192 0.484 0.320 0.004
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.74716 1.000 0.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.7635 0.36795 0.396 0.456 0.132 0.016
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.4140 0.60854 0.024 0.160 0.812 0.004
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.3876 0.68892 0.836 0.124 0.040 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.74716 1.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.5665 0.60444 0.108 0.176 0.716 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0188 0.74868 0.996 0.004 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.4419 0.54077 0.176 0.792 0.028 0.004
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0188 0.74717 0.996 0.004 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0524 0.64687 0.004 0.008 0.988 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0188 0.74829 0.996 0.004 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.4331 0.48161 0.712 0.288 0.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.4277 0.63400 0.800 0.172 0.024 0.004
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.74716 1.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 1 0.7854 -0.16583 0.452 0.284 0.260 0.004
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0524 0.64687 0.004 0.008 0.988 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.1022 0.74938 0.968 0.032 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.7023 0.48297 0.212 0.596 0.188 0.004
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.4720 0.38137 0.672 0.324 0.004 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 1 0.5404 -0.09452 0.512 0.476 0.012 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.5721 0.48047 0.388 0.584 0.024 0.004
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.7506 0.46556 0.308 0.484 0.208 0.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.7697 0.35583 0.236 0.488 0.272 0.004
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.5944 0.57828 0.164 0.140 0.696 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0779 0.74432 0.980 0.016 0.004 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.2888 0.71343 0.872 0.124 0.004 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0376 0.74611 0.992 0.004 0.004 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.7331 0.38083 0.420 0.452 0.120 0.008
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.5773 0.33844 0.620 0.336 0.044 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 1 0.5800 0.04646 0.548 0.420 0.032 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.2489 0.73366 0.912 0.068 0.020 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0895 0.74646 0.976 0.020 0.004 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.5605 0.43614 0.408 0.572 0.008 0.012
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.5968 0.643178 0.372 0.512 0.000 0.000 0.116
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.7010 0.179163 0.480 0.212 0.024 0.000 0.284
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.4605 0.471142 0.036 0.032 0.172 0.000 0.760
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.1493 0.735026 0.948 0.028 0.000 0.000 0.024
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.3702 0.668094 0.820 0.096 0.000 0.000 0.084
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.4036 0.677959 0.816 0.052 0.024 0.000 0.108
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.6383 0.372360 0.588 0.176 0.020 0.000 0.216
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 1 0.8020 -0.089540 0.384 0.196 0.108 0.000 0.312
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.5698 0.503417 0.128 0.204 0.012 0.000 0.656
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.1117 0.736836 0.964 0.016 0.000 0.000 0.020
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.5091 0.648894 0.196 0.692 0.000 0.000 0.112
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.0963 0.814692 0.036 0.000 0.000 0.964 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.5611 0.507336 0.024 0.132 0.128 0.008 0.708
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.7285 0.176076 0.476 0.212 0.044 0.000 0.268
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.5342 0.151546 0.612 0.312 0.000 0.000 0.076
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.2359 0.724003 0.904 0.060 0.000 0.000 0.036
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.4218 0.707410 0.160 0.040 0.000 0.784 0.016
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.4978 0.590035 0.068 0.140 0.040 0.000 0.752
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.6821 0.291034 0.556 0.156 0.044 0.000 0.244
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0693 0.740077 0.980 0.012 0.000 0.000 0.008
#> 82341457-7386-4C56-9DAF-A8F020055685 1 0.5941 0.256263 0.592 0.180 0.000 0.000 0.228
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.6799 0.269630 0.520 0.228 0.020 0.000 0.232
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.8089 0.133452 0.236 0.128 0.416 0.000 0.220
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.1310 0.724709 0.956 0.024 0.000 0.000 0.020
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.4480 0.602353 0.052 0.112 0.044 0.000 0.792
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0290 0.737360 0.992 0.008 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.8146 -0.121509 0.384 0.160 0.004 0.128 0.324
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#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0451 0.735519 0.988 0.004 0.000 0.000 0.008
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.5329 0.704275 0.236 0.656 0.000 0.000 0.108
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.5897 0.623573 0.080 0.096 0.692 0.000 0.132
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 5 0.4980 0.594358 0.072 0.128 0.044 0.000 0.756
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.4444 0.556392 0.000 0.156 0.756 0.000 0.088
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 1 0.5400 0.318403 0.632 0.272 0.000 0.000 0.096
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.1997 0.737330 0.924 0.036 0.000 0.000 0.040
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.6378 0.588776 0.396 0.484 0.000 0.020 0.100
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.5704 0.670180 0.356 0.568 0.000 0.012 0.064
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 5 0.6659 -0.233742 0.228 0.376 0.000 0.000 0.396
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 1 0.5632 -0.190281 0.528 0.392 0.000 0.000 0.080
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 5 0.3983 0.100389 0.000 0.000 0.340 0.000 0.660
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 1 0.6360 0.480181 0.648 0.088 0.104 0.000 0.160
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 1 0.6417 0.000143 0.504 0.216 0.000 0.000 0.280
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.5717 0.237692 0.608 0.260 0.000 0.000 0.132
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.6410 0.181983 0.504 0.212 0.000 0.000 0.284
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 1 0.5956 0.508069 0.660 0.096 0.044 0.000 0.200
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.1485 0.722329 0.948 0.032 0.000 0.000 0.020
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.5391 0.538578 0.688 0.164 0.008 0.000 0.140
#> 197E34CA-EF43-495C-8AA4-858982333429 5 0.6492 0.183039 0.324 0.180 0.004 0.000 0.492
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.1854 0.719134 0.936 0.036 0.000 0.008 0.020
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.3710 0.627395 0.808 0.144 0.000 0.000 0.048
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.6981 0.238797 0.512 0.200 0.032 0.000 0.256
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.6835 0.403859 0.160 0.584 0.192 0.000 0.064
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0404 0.738479 0.988 0.012 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.1661 0.721954 0.940 0.036 0.000 0.000 0.024
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.5453 0.683612 0.208 0.672 0.000 0.008 0.112
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0703 0.736824 0.976 0.024 0.000 0.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 1 0.6407 -0.037476 0.512 0.244 0.000 0.000 0.244
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.1549 0.735972 0.944 0.040 0.000 0.000 0.016
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.6150 0.192366 0.560 0.236 0.000 0.000 0.204
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 3 0.5529 0.636690 0.092 0.148 0.712 0.000 0.048
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.6454 0.633551 0.128 0.172 0.000 0.632 0.068
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.6224 0.657208 0.316 0.556 0.000 0.016 0.112
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 5 0.5466 0.312270 0.052 0.424 0.004 0.000 0.520
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.3985 0.668646 0.804 0.120 0.004 0.000 0.072
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.5038 0.594934 0.076 0.128 0.044 0.000 0.752
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.2793 0.712677 0.876 0.088 0.000 0.000 0.036
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 5 0.6034 0.186093 0.116 0.428 0.000 0.000 0.456
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0510 0.700186 0.000 0.000 0.984 0.000 0.016
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.7636 0.399071 0.160 0.512 0.164 0.000 0.164
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 1 0.7010 0.170986 0.480 0.212 0.024 0.000 0.284
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 5 0.7213 0.007668 0.352 0.228 0.024 0.000 0.396
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 1 0.6003 0.245858 0.584 0.192 0.000 0.000 0.224
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 1 0.6601 -0.160902 0.460 0.248 0.000 0.000 0.292
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.7668 0.211706 0.308 0.136 0.448 0.000 0.108
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.6526 0.583365 0.324 0.464 0.000 0.000 0.212
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.3731 0.621131 0.800 0.160 0.000 0.000 0.040
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.6137 0.609302 0.088 0.104 0.672 0.000 0.136
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0324 0.735927 0.992 0.004 0.000 0.000 0.004
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0290 0.737675 0.992 0.008 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.1310 0.724709 0.956 0.024 0.000 0.000 0.020
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.5253 0.490177 0.036 0.304 0.020 0.000 0.640
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.5959 0.519633 0.680 0.112 0.060 0.000 0.148
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.5606 0.712543 0.296 0.600 0.000 0.000 0.104
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.1568 0.731065 0.944 0.036 0.000 0.000 0.020
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.7969 0.099731 0.436 0.148 0.152 0.000 0.264
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.5039 0.419148 0.080 0.000 0.244 0.000 0.676
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.5039 0.419148 0.080 0.000 0.244 0.000 0.676
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.5039 0.419148 0.080 0.000 0.244 0.000 0.676
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0510 0.700186 0.000 0.000 0.984 0.000 0.016
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.4044 0.637690 0.800 0.120 0.000 0.004 0.076
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.1399 0.730647 0.952 0.028 0.000 0.000 0.020
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.2869 0.724906 0.892 0.056 0.016 0.004 0.032
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.1992 0.735302 0.924 0.044 0.000 0.000 0.032
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.4212 0.528127 0.080 0.000 0.144 0.000 0.776
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0807 0.738057 0.976 0.012 0.000 0.000 0.012
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.4549 0.565856 0.052 0.040 0.124 0.000 0.784
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0162 0.737923 0.996 0.000 0.000 0.000 0.004
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.8174 0.076498 0.192 0.408 0.092 0.012 0.296
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.3895 0.547005 0.000 0.000 0.680 0.000 0.320
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.5021 0.574627 0.744 0.128 0.024 0.000 0.104
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0162 0.736813 0.996 0.004 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.6009 0.603004 0.056 0.076 0.652 0.000 0.216
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0451 0.738506 0.988 0.004 0.000 0.000 0.008
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.5152 0.089213 0.052 0.632 0.004 0.000 0.312
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0404 0.737384 0.988 0.012 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0510 0.700186 0.000 0.000 0.984 0.000 0.016
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0290 0.737321 0.992 0.008 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.5546 -0.002314 0.576 0.340 0.000 0.000 0.084
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.5680 0.340628 0.628 0.160 0.000 0.000 0.212
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0324 0.736525 0.992 0.004 0.000 0.000 0.004
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 5 0.8448 0.132217 0.292 0.168 0.228 0.000 0.312
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0510 0.700186 0.000 0.000 0.984 0.000 0.016
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.1872 0.725335 0.928 0.052 0.000 0.000 0.020
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.4375 0.602809 0.056 0.104 0.040 0.000 0.800
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.5886 0.313973 0.588 0.120 0.004 0.000 0.288
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.6402 0.619961 0.288 0.504 0.000 0.000 0.208
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.6114 0.359251 0.192 0.244 0.000 0.000 0.564
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.7947 0.350223 0.212 0.140 0.192 0.000 0.456
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.3922 0.593555 0.092 0.012 0.076 0.000 0.820
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.6115 0.610368 0.076 0.116 0.672 0.000 0.136
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.1485 0.722329 0.948 0.032 0.000 0.000 0.020
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.4480 0.611007 0.752 0.180 0.004 0.000 0.064
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0798 0.738683 0.976 0.008 0.000 0.000 0.016
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.6903 0.371630 0.232 0.164 0.040 0.004 0.560
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.7013 0.176241 0.492 0.204 0.028 0.000 0.276
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.6815 0.369161 0.328 0.360 0.000 0.000 0.312
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.3287 0.706752 0.864 0.052 0.016 0.000 0.068
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.1750 0.723222 0.936 0.036 0.000 0.000 0.028
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.7154 0.248942 0.236 0.384 0.004 0.012 0.364
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.5681 0.53651 0.296 0.580 0.000 0.000 0.076 0.048
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.7743 -0.53071 0.332 0.160 0.008 0.000 0.220 0.280
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.4030 0.54450 0.028 0.032 0.088 0.000 0.812 0.040
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.1616 0.72587 0.940 0.028 0.000 0.000 0.020 0.012
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.4384 0.60575 0.772 0.076 0.000 0.000 0.064 0.088
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.4603 0.61815 0.772 0.048 0.020 0.000 0.096 0.064
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.7245 -0.02591 0.488 0.152 0.012 0.000 0.176 0.172
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 6 0.8273 0.67643 0.208 0.124 0.076 0.000 0.220 0.372
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.5691 0.53568 0.076 0.208 0.004 0.000 0.640 0.072
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.1793 0.71696 0.928 0.012 0.000 0.000 0.012 0.048
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.4521 0.61206 0.128 0.748 0.000 0.000 0.092 0.032
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.0909 0.84900 0.020 0.000 0.000 0.968 0.000 0.012
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.4415 0.54008 0.008 0.128 0.052 0.008 0.776 0.028
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.8024 -0.53841 0.332 0.160 0.028 0.000 0.200 0.280
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.5961 0.18937 0.560 0.292 0.000 0.000 0.064 0.084
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.2755 0.70506 0.880 0.056 0.000 0.000 0.036 0.028
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.3795 0.74900 0.112 0.004 0.000 0.788 0.000 0.096
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.3883 0.62129 0.052 0.144 0.004 0.000 0.788 0.012
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.7508 -0.05639 0.488 0.152 0.040 0.000 0.192 0.128
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0653 0.72909 0.980 0.012 0.000 0.000 0.004 0.004
#> 82341457-7386-4C56-9DAF-A8F020055685 1 0.6649 0.13426 0.504 0.196 0.000 0.000 0.228 0.072
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.7679 -0.36721 0.392 0.176 0.012 0.000 0.176 0.244
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.8138 -0.31840 0.128 0.080 0.384 0.000 0.136 0.272
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.1584 0.70330 0.928 0.008 0.000 0.000 0.000 0.064
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.3281 0.62183 0.040 0.104 0.008 0.000 0.840 0.008
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0260 0.72572 0.992 0.008 0.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 6 0.8530 0.52888 0.204 0.120 0.000 0.108 0.244 0.324
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 6 0.8530 0.52888 0.204 0.120 0.000 0.108 0.244 0.324
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.3335 0.69084 0.856 0.064 0.020 0.000 0.028 0.032
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 1 0.6640 -0.10742 0.448 0.284 0.000 0.000 0.224 0.044
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.7162 -0.07420 0.460 0.180 0.000 0.000 0.180 0.180
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.1701 0.69934 0.920 0.008 0.000 0.000 0.000 0.072
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.1894 0.72096 0.928 0.016 0.000 0.004 0.012 0.040
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 6 0.8673 0.68765 0.232 0.132 0.128 0.000 0.200 0.308
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0405 0.72530 0.988 0.008 0.000 0.000 0.004 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 1 0.7454 -0.39350 0.360 0.168 0.000 0.000 0.292 0.180
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.7046 -0.02422 0.468 0.228 0.000 0.000 0.172 0.132
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.4603 0.61815 0.772 0.048 0.020 0.000 0.096 0.064
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.1701 0.69934 0.920 0.008 0.000 0.000 0.000 0.072
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.1605 0.72571 0.940 0.012 0.000 0.000 0.016 0.032
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.5531 -0.16349 0.028 0.484 0.000 0.000 0.424 0.064
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.5493 0.56422 0.200 0.624 0.000 0.000 0.156 0.020
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.1625 0.71118 0.928 0.012 0.000 0.000 0.000 0.060
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0508 0.72701 0.984 0.012 0.000 0.000 0.004 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0405 0.72551 0.988 0.004 0.000 0.000 0.000 0.008
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#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 5 0.3935 0.62040 0.052 0.140 0.004 0.000 0.788 0.016
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.5137 0.55403 0.000 0.076 0.708 0.000 0.100 0.116
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 1 0.5835 0.23507 0.556 0.312 0.000 0.000 0.080 0.052
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.2477 0.71621 0.896 0.024 0.000 0.000 0.032 0.048
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.6409 0.48437 0.296 0.520 0.000 0.004 0.064 0.116
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.5800 0.55150 0.272 0.580 0.000 0.000 0.040 0.108
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.6509 0.15396 0.148 0.436 0.000 0.000 0.364 0.052
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 1 0.6075 -0.19747 0.456 0.408 0.000 0.000 0.076 0.060
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 5 0.4122 0.31350 0.000 0.000 0.248 0.000 0.704 0.048
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 1 0.7239 0.19914 0.556 0.092 0.096 0.000 0.124 0.132
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 1 0.7060 -0.12168 0.412 0.224 0.000 0.000 0.280 0.084
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.5839 0.20651 0.548 0.304 0.000 0.000 0.120 0.028
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.7390 -0.26171 0.404 0.184 0.000 0.000 0.236 0.176
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 1 0.7040 0.22563 0.556 0.096 0.044 0.000 0.152 0.152
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.1858 0.69855 0.912 0.012 0.000 0.000 0.000 0.076
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.6266 0.26883 0.600 0.132 0.004 0.000 0.100 0.164
#> 197E34CA-EF43-495C-8AA4-858982333429 5 0.7119 0.05506 0.248 0.188 0.004 0.000 0.456 0.104
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.2678 0.67286 0.860 0.020 0.000 0.004 0.000 0.116
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.3988 0.62964 0.784 0.140 0.000 0.000 0.036 0.040
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.7832 -0.32986 0.400 0.164 0.024 0.000 0.200 0.212
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.7272 0.32769 0.092 0.524 0.176 0.000 0.048 0.160
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0508 0.72786 0.984 0.012 0.000 0.000 0.000 0.004
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.2019 0.69161 0.900 0.012 0.000 0.000 0.000 0.088
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.4045 0.62861 0.120 0.792 0.000 0.008 0.060 0.020
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.1074 0.72313 0.960 0.012 0.000 0.000 0.000 0.028
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 1 0.6984 -0.14268 0.416 0.268 0.000 0.000 0.244 0.072
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.1737 0.72198 0.932 0.040 0.000 0.000 0.020 0.008
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.6935 0.05014 0.476 0.228 0.000 0.000 0.192 0.104
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 3 0.5462 0.62579 0.072 0.072 0.704 0.000 0.024 0.128
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.6530 0.69557 0.088 0.116 0.000 0.600 0.028 0.168
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.6729 0.49983 0.240 0.500 0.000 0.000 0.088 0.172
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 5 0.5281 0.24462 0.024 0.436 0.000 0.000 0.492 0.048
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.4787 0.58273 0.736 0.108 0.000 0.000 0.056 0.100
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.3994 0.61987 0.056 0.140 0.004 0.000 0.784 0.016
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.3734 0.64904 0.796 0.064 0.000 0.004 0.004 0.132
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.5956 -0.12677 0.064 0.456 0.000 0.000 0.420 0.060
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0508 0.71875 0.000 0.000 0.984 0.000 0.012 0.004
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.7288 0.38167 0.076 0.544 0.160 0.000 0.112 0.108
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 1 0.7757 -0.51925 0.336 0.168 0.008 0.000 0.216 0.272
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 5 0.7651 -0.13165 0.280 0.220 0.020 0.000 0.376 0.104
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 1 0.6693 0.09653 0.484 0.232 0.000 0.000 0.220 0.064
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 1 0.7209 -0.22206 0.372 0.248 0.000 0.000 0.288 0.092
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.7688 -0.17085 0.272 0.100 0.444 0.000 0.068 0.116
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.6277 0.49290 0.248 0.532 0.000 0.000 0.176 0.044
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.4146 0.61846 0.780 0.124 0.000 0.000 0.040 0.056
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.5761 0.55740 0.020 0.052 0.652 0.000 0.080 0.196
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0508 0.72431 0.984 0.004 0.000 0.000 0.000 0.012
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0405 0.72675 0.988 0.008 0.000 0.000 0.000 0.004
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.1701 0.69934 0.920 0.008 0.000 0.000 0.000 0.072
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.4976 0.50330 0.024 0.300 0.004 0.000 0.632 0.040
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.6750 0.33284 0.600 0.108 0.052 0.000 0.120 0.120
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.5210 0.62300 0.220 0.664 0.000 0.000 0.068 0.048
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.1679 0.72135 0.936 0.036 0.000 0.000 0.016 0.012
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 6 0.8450 0.66554 0.284 0.096 0.132 0.000 0.168 0.320
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.5122 0.44823 0.060 0.008 0.140 0.000 0.716 0.076
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.5122 0.44823 0.060 0.008 0.140 0.000 0.716 0.076
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.5122 0.44823 0.060 0.008 0.140 0.000 0.716 0.076
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0508 0.71875 0.000 0.000 0.984 0.000 0.012 0.004
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.4581 0.59717 0.744 0.144 0.000 0.000 0.064 0.048
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.1829 0.70791 0.920 0.012 0.000 0.000 0.004 0.064
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.3552 0.68254 0.844 0.048 0.012 0.004 0.024 0.068
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.2555 0.71584 0.888 0.032 0.000 0.000 0.016 0.064
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.3634 0.55484 0.060 0.004 0.048 0.000 0.832 0.056
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0870 0.72761 0.972 0.012 0.000 0.000 0.012 0.004
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.3154 0.59177 0.040 0.024 0.048 0.000 0.868 0.020
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0551 0.72721 0.984 0.004 0.000 0.000 0.004 0.008
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.7933 -0.27274 0.048 0.368 0.076 0.008 0.180 0.320
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.4742 0.49921 0.000 0.004 0.612 0.000 0.328 0.056
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.5333 0.55218 0.716 0.120 0.028 0.000 0.084 0.052
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0291 0.72554 0.992 0.004 0.000 0.000 0.000 0.004
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.6211 0.57484 0.044 0.036 0.616 0.000 0.200 0.104
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0520 0.72681 0.984 0.008 0.000 0.000 0.008 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.4742 0.18953 0.012 0.644 0.000 0.000 0.292 0.052
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0520 0.72484 0.984 0.008 0.000 0.000 0.000 0.008
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0508 0.71875 0.000 0.000 0.984 0.000 0.012 0.004
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0260 0.72564 0.992 0.008 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.6201 0.06222 0.524 0.312 0.000 0.000 0.072 0.092
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.6180 0.25812 0.556 0.192 0.000 0.000 0.208 0.044
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0291 0.72419 0.992 0.004 0.000 0.000 0.004 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 6 0.8368 0.61159 0.108 0.112 0.196 0.000 0.208 0.376
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0508 0.71875 0.000 0.000 0.984 0.000 0.012 0.004
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.2015 0.71444 0.916 0.056 0.000 0.000 0.016 0.012
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.3234 0.62000 0.040 0.100 0.008 0.000 0.844 0.008
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.6817 0.09016 0.520 0.124 0.004 0.000 0.220 0.132
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.5493 0.56422 0.200 0.624 0.000 0.000 0.156 0.020
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.6259 0.42204 0.124 0.260 0.000 0.000 0.548 0.068
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.8294 0.03139 0.152 0.136 0.180 0.000 0.412 0.120
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.3397 0.58065 0.060 0.020 0.012 0.000 0.848 0.060
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.5822 0.55115 0.020 0.064 0.652 0.000 0.076 0.188
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.2060 0.69394 0.900 0.016 0.000 0.000 0.000 0.084
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.5188 0.55368 0.708 0.124 0.004 0.000 0.060 0.104
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.1483 0.72300 0.944 0.008 0.000 0.000 0.012 0.036
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.7103 0.11729 0.132 0.128 0.016 0.004 0.528 0.192
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.7857 -0.33586 0.380 0.180 0.020 0.000 0.232 0.188
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.7005 0.27729 0.220 0.408 0.000 0.000 0.296 0.076
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.3489 0.68199 0.844 0.040 0.008 0.000 0.060 0.048
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.2356 0.68536 0.884 0.016 0.000 0.000 0.004 0.096
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.7018 0.16218 0.160 0.396 0.000 0.000 0.344 0.100
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17416 rows and 433 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.552 0.869 0.915 0.4805 0.499 0.499
#> 3 3 0.804 0.832 0.930 0.2780 0.774 0.593
#> 4 4 0.648 0.729 0.848 0.1644 0.820 0.573
#> 5 5 0.691 0.735 0.831 0.0779 0.914 0.714
#> 6 6 0.727 0.686 0.819 0.0517 0.907 0.634
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 1 0.9129 0.50283 0.672 0.328
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 1.0000 0.30390 0.496 0.504
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.3114 0.89231 0.056 0.944
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.95577 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0000 0.95577 1.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.0000 0.95577 1.000 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 2 0.9866 0.48209 0.432 0.568
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.6712 0.86300 0.176 0.824
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.3733 0.89603 0.072 0.928
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#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.95577 1.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.3431 0.89487 0.064 0.936
#> 73D9833A-5E24-47D9-B193-22A66A282669 2 0.7139 0.84998 0.196 0.804
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.3733 0.89603 0.072 0.928
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.95577 1.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 2 0.9491 0.60931 0.368 0.632
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.3584 0.89606 0.068 0.932
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.3584 0.89606 0.068 0.932
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.3879 0.89664 0.076 0.924
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.4815 0.86496 0.104 0.896
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0000 0.95577 1.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.95577 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.95577 1.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.95577 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.3584 0.89606 0.068 0.932
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.95577 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.3431 0.89487 0.064 0.936
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.95577 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.3431 0.89487 0.064 0.936
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0000 0.86322 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.95577 1.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.95577 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.3879 0.87085 0.076 0.924
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.95577 1.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.3733 0.89603 0.072 0.928
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.95577 1.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.4815 0.86496 0.104 0.896
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.95577 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.5737 0.81993 0.864 0.136
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.5737 0.81993 0.864 0.136
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.95577 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.4815 0.86496 0.104 0.896
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.4815 0.86496 0.104 0.896
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.95577 1.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.3431 0.89487 0.064 0.936
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.95577 1.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.3733 0.89603 0.072 0.928
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.3733 0.89603 0.072 0.928
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.7528 0.83109 0.216 0.784
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.3879 0.89616 0.076 0.924
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.5178 0.85910 0.116 0.884
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.95577 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.95577 1.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.95577 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.3733 0.89603 0.072 0.928
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 2 0.9710 0.55687 0.400 0.600
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.8327 0.71455 0.264 0.736
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.95577 1.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.95577 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.3733 0.89603 0.072 0.928
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0424 0.8965 0.008 0.992 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.1482 0.9297 0.968 0.020 0.012
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.6026 0.4136 0.000 0.624 0.376
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.9456 1.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0237 0.9451 0.996 0.000 0.004
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.0592 0.9434 0.988 0.000 0.012
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.4399 0.7388 0.812 0.000 0.188
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.9030 0.1146 0.136 0.476 0.388
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.9017 0.000 1.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0592 0.9434 0.988 0.000 0.012
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9017 0.000 1.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.5219 0.7163 0.788 0.196 0.016
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.5785 0.5011 0.000 0.668 0.332
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.4702 0.7183 0.788 0.000 0.212
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9456 1.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0592 0.9434 0.988 0.000 0.012
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0592 0.9434 0.988 0.000 0.012
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.9017 0.000 1.000 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.8170 0.4134 0.624 0.120 0.256
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.9456 1.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0661 0.8940 0.004 0.988 0.008
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.1315 0.9310 0.972 0.020 0.008
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0000 0.8679 0.000 0.000 1.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0237 0.9451 0.996 0.000 0.004
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.9017 0.000 1.000 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9456 1.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.6333 0.4825 0.656 0.332 0.012
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.8230 0.4930 0.144 0.632 0.224
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0237 0.9451 0.996 0.000 0.004
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0237 0.8989 0.000 0.996 0.004
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.0592 0.9434 0.988 0.000 0.012
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.9456 1.000 0.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0592 0.9434 0.988 0.000 0.012
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.6095 0.3938 0.392 0.000 0.608
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9456 1.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.9674 0.2655 0.392 0.212 0.396
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.0592 0.9434 0.988 0.000 0.012
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0592 0.9434 0.988 0.000 0.012
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.9456 1.000 0.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0592 0.9434 0.988 0.000 0.012
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.9017 0.000 1.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9017 0.000 1.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.9456 1.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.9456 1.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.9456 1.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0592 0.9434 0.988 0.000 0.012
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0592 0.8757 0.000 0.012 0.988
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.9017 0.000 1.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.9017 0.000 1.000 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.9456 1.000 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.9017 0.000 1.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.9456 1.000 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.9017 0.000 1.000 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.9017 0.000 1.000 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0592 0.8757 0.000 0.012 0.988
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0592 0.8931 0.000 0.988 0.012
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.9456 1.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.9456 1.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.5785 0.4752 0.332 0.668 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.9017 0.000 1.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.6295 0.1868 0.472 0.000 0.528
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.9456 1.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.9017 0.000 1.000 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 3 0.6111 0.2516 0.000 0.396 0.604
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.9017 0.000 1.000 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0592 0.8757 0.000 0.012 0.988
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.1643 0.8642 0.044 0.956 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0592 0.8757 0.000 0.012 0.988
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.4504 0.7218 0.804 0.196 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 1 0.5020 0.7257 0.796 0.192 0.012
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.9017 0.000 1.000 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.0592 0.8757 0.000 0.012 0.988
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.2959 0.8552 0.900 0.000 0.100
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0592 0.9434 0.988 0.000 0.012
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.9017 0.000 1.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0592 0.8757 0.000 0.012 0.988
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.9017 0.000 1.000 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.0592 0.9434 0.988 0.000 0.012
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0592 0.9434 0.988 0.000 0.012
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0000 0.9456 1.000 0.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.0592 0.8929 0.012 0.988 0.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.9017 0.000 1.000 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 1 0.2749 0.8865 0.924 0.064 0.012
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0000 0.9456 1.000 0.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0592 0.8757 0.000 0.012 0.988
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0000 0.9456 1.000 0.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.0592 0.8757 0.000 0.012 0.988
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 1 0.0747 0.9415 0.984 0.000 0.016
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0000 0.9456 1.000 0.000 0.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.9456 1.000 0.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0000 0.9017 0.000 1.000 0.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 1 0.0747 0.9415 0.984 0.000 0.016
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 1 0.2066 0.9026 0.940 0.000 0.060
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.0237 0.9451 0.996 0.000 0.004
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.0592 0.9434 0.988 0.000 0.012
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.0000 0.9456 1.000 0.000 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.0424 0.9444 0.992 0.000 0.008
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.0000 0.9017 0.000 1.000 0.000
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.0592 0.9434 0.988 0.000 0.012
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0000 0.9017 0.000 1.000 0.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.5020 0.7257 0.796 0.192 0.012
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.5138 0.6389 0.748 0.252 0.000
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.0592 0.8757 0.000 0.012 0.988
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 1 0.9263 0.1851 0.528 0.252 0.220
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 0.9017 0.000 1.000 0.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 3 0.9491 0.2609 0.396 0.184 0.420
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.0592 0.8757 0.000 0.012 0.988
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 3 0.6570 0.5403 0.308 0.024 0.668
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.0000 0.9456 1.000 0.000 0.000
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0000 0.9456 1.000 0.000 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.0237 0.8707 0.000 0.004 0.996
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.0592 0.9434 0.988 0.000 0.012
#> B54317C9-8704-42A6-BE96-E12855874596 2 0.6045 0.4051 0.000 0.620 0.380
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.0000 0.9456 1.000 0.000 0.000
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0000 0.9017 0.000 1.000 0.000
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.0000 0.9456 1.000 0.000 0.000
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 1 0.1482 0.9297 0.968 0.020 0.012
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 1 0.0000 0.9456 1.000 0.000 0.000
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.1989 0.8573 0.048 0.948 0.004
#> A6177818-114B-437B-9928-A6747A788109 1 0.0000 0.9456 1.000 0.000 0.000
#> E7064800-48FD-492A-A074-84A0B2452445 3 0.4682 0.7180 0.192 0.004 0.804
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.0000 0.9017 0.000 1.000 0.000
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0000 0.9456 1.000 0.000 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.0000 0.9017 0.000 1.000 0.000
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.0592 0.8757 0.000 0.012 0.988
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 1 0.0592 0.9434 0.988 0.000 0.012
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#> 14003AA2-81B6-4143-98AD-124903BAE56B 1 0.0000 0.9456 1.000 0.000 0.000
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.0000 0.9456 1.000 0.000 0.000
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0000 0.9017 0.000 1.000 0.000
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.0000 0.9017 0.000 1.000 0.000
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.0000 0.9017 0.000 1.000 0.000
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 2 0.0237 0.8990 0.004 0.996 0.000
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 2 0.7186 0.5957 0.080 0.696 0.224
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.0000 0.9456 1.000 0.000 0.000
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0000 0.9456 1.000 0.000 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 2 0.6235 0.2697 0.000 0.564 0.436
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.0592 0.8757 0.000 0.012 0.988
#> 420503AA-3799-4816-BEEC-0B4D05988D38 2 0.5760 0.5080 0.000 0.672 0.328
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0000 0.9456 1.000 0.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.9456 1.000 0.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.0000 0.9017 0.000 1.000 0.000
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0000 0.9456 1.000 0.000 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0000 0.9456 1.000 0.000 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.5219 0.6658 0.196 0.788 0.016
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 1 0.5020 0.7257 0.796 0.192 0.012
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.5859 0.4784 0.000 0.656 0.344
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.9017 0.000 1.000 0.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.9017 0.000 1.000 0.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.1529 0.9240 0.960 0.000 0.040
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.0000 0.9017 0.000 1.000 0.000
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.6204 0.3005 0.000 0.576 0.424
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0000 0.9017 0.000 1.000 0.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 2 0.6309 0.0839 0.000 0.504 0.496
#> B822A426-98C1-4976-9FC2-16347992AD78 1 0.6308 -0.0460 0.508 0.000 0.492
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.9017 0.000 1.000 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0000 0.9456 1.000 0.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.9017 0.000 1.000 0.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.0592 0.8757 0.000 0.012 0.988
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.0000 0.9017 0.000 1.000 0.000
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.0592 0.8757 0.000 0.012 0.988
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.0592 0.8929 0.012 0.988 0.000
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.0592 0.9434 0.988 0.000 0.012
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.3377 0.8024 0.092 0.896 0.012
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.6779 0.1767 0.544 0.444 0.012
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0000 0.9017 0.000 1.000 0.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.5956 0.4777 0.324 0.672 0.004
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 3 0.5859 0.4018 0.000 0.344 0.656
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.6079 0.4033 0.388 0.000 0.612
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.9017 0.000 1.000 0.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.0000 0.9456 1.000 0.000 0.000
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.4409 0.7595 0.824 0.172 0.004
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.5619 0.5947 0.244 0.744 0.012
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0592 0.9434 0.988 0.000 0.012
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.0592 0.9434 0.988 0.000 0.012
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.4351 0.7651 0.828 0.168 0.004
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0592 0.9434 0.988 0.000 0.012
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.0424 0.9444 0.992 0.000 0.008
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.2116 0.9113 0.948 0.040 0.012
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.3482 0.7967 0.000 0.872 0.128
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.9456 1.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0592 0.9434 0.988 0.000 0.012
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.9017 0.000 1.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.9456 1.000 0.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.9017 0.000 1.000 0.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.9456 1.000 0.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0237 0.9451 0.996 0.000 0.004
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 3 0.5968 0.4130 0.364 0.000 0.636
#> FAA38111-F046-4ACD-B787-764A17EAF548 1 0.6617 0.3434 0.600 0.388 0.012
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.0592 0.8931 0.000 0.988 0.012
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.9017 0.000 1.000 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0592 0.9434 0.988 0.000 0.012
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.9017 0.000 1.000 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.1182 0.9360 0.976 0.012 0.012
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.9017 0.000 1.000 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0592 0.8757 0.000 0.012 0.988
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.1289 0.8796 0.000 0.968 0.032
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 1 0.7634 0.5100 0.668 0.100 0.232
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 2 0.7311 0.3182 0.384 0.580 0.036
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.1015 0.8880 0.008 0.980 0.012
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.2448 0.8234 0.076 0.924 0.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.0829 0.8734 0.004 0.012 0.984
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.9017 0.000 1.000 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.9456 1.000 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0592 0.8757 0.000 0.012 0.988
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.9456 1.000 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.9456 1.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.9456 1.000 0.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.9017 0.000 1.000 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.6793 0.1706 0.536 0.452 0.012
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.9017 0.000 1.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.9456 1.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.6295 0.0360 0.528 0.000 0.472
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.6386 0.3246 0.004 0.584 0.412
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.6252 0.2463 0.000 0.556 0.444
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.6386 0.3246 0.004 0.584 0.412
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0592 0.8757 0.000 0.012 0.988
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0592 0.9434 0.988 0.000 0.012
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0592 0.9434 0.988 0.000 0.012
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0592 0.9434 0.988 0.000 0.012
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0592 0.9434 0.988 0.000 0.012
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.6204 0.2999 0.000 0.576 0.424
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.9456 1.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.1289 0.8798 0.000 0.968 0.032
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.9456 1.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.1753 0.8664 0.000 0.952 0.048
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.0592 0.8757 0.000 0.012 0.988
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0424 0.9444 0.992 0.000 0.008
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.9456 1.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0592 0.8757 0.000 0.012 0.988
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.9456 1.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.9017 0.000 1.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.9456 1.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0592 0.8757 0.000 0.012 0.988
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.9456 1.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.4963 0.7157 0.792 0.200 0.008
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.4654 0.7052 0.792 0.208 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9456 1.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0000 0.8679 0.000 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0592 0.8757 0.000 0.012 0.988
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.9456 1.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.9017 0.000 1.000 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0237 0.9451 0.996 0.000 0.004
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.9017 0.000 1.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.9017 0.000 1.000 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 3 0.9377 0.3361 0.380 0.172 0.448
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0237 0.8990 0.004 0.996 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0592 0.8757 0.000 0.012 0.988
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0592 0.9434 0.988 0.000 0.012
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.9456 1.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0237 0.9451 0.996 0.000 0.004
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.9017 0.000 1.000 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.7188 0.4825 0.664 0.056 0.280
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.9017 0.000 1.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0592 0.9434 0.988 0.000 0.012
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0592 0.9434 0.988 0.000 0.012
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.9017 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.1284 0.82965 0.012 0.964 0.000 0.024
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.3329 0.71427 0.072 0.044 0.004 0.880
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.7441 0.48523 0.000 0.468 0.180 0.352
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0188 0.89554 0.996 0.000 0.000 0.004
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.4948 -0.08500 0.560 0.000 0.000 0.440
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.4643 0.57533 0.344 0.000 0.000 0.656
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.4576 0.67542 0.260 0.000 0.012 0.728
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 4 0.0844 0.66411 0.004 0.004 0.012 0.980
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.4164 0.75762 0.000 0.736 0.000 0.264
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.2589 0.83749 0.884 0.000 0.000 0.116
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0895 0.83404 0.000 0.976 0.004 0.020
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.3652 0.70847 0.064 0.060 0.008 0.868
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.6329 0.66447 0.000 0.616 0.092 0.292
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.6586 0.66481 0.156 0.016 0.156 0.672
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0336 0.89336 0.992 0.000 0.000 0.008
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.4040 0.64963 0.752 0.000 0.000 0.248
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.4817 0.48341 0.388 0.000 0.000 0.612
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.3123 0.80432 0.000 0.844 0.000 0.156
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.4872 0.72209 0.204 0.024 0.012 0.760
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.89548 1.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 4 0.2401 0.64784 0.000 0.092 0.004 0.904
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 4 0.6169 0.54100 0.376 0.048 0.004 0.572
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.4830 0.26663 0.000 0.000 0.608 0.392
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.2149 0.85891 0.912 0.000 0.000 0.088
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.4936 0.68650 0.000 0.652 0.008 0.340
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0188 0.89554 0.996 0.000 0.000 0.004
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.4312 0.68074 0.056 0.132 0.000 0.812
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.2597 0.66778 0.004 0.084 0.008 0.904
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.4643 0.30234 0.656 0.000 0.000 0.344
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.4655 0.63250 0.000 0.684 0.004 0.312
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.4356 0.64423 0.292 0.000 0.000 0.708
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.1557 0.87641 0.944 0.000 0.000 0.056
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.2760 0.82633 0.872 0.000 0.000 0.128
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.3601 0.70792 0.084 0.000 0.056 0.860
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0188 0.89554 0.996 0.000 0.000 0.004
#> 2A08011A-E15E-4754-B560-4637EF3A446B 4 0.3594 0.70362 0.108 0.024 0.008 0.860
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.5119 0.41838 0.440 0.004 0.000 0.556
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.4967 0.35140 0.452 0.000 0.000 0.548
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#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.4193 0.50057 0.732 0.000 0.000 0.268
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 3 0.6443 0.04455 0.072 0.000 0.528 0.400
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.4516 0.58687 0.012 0.252 0.000 0.736
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.2401 0.79402 0.000 0.904 0.004 0.092
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.1211 0.82964 0.000 0.960 0.000 0.040
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 4 0.4804 0.49063 0.384 0.000 0.000 0.616
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.4008 0.77045 0.000 0.756 0.000 0.244
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.3372 0.72434 0.096 0.036 0.000 0.868
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.2081 0.82087 0.000 0.916 0.000 0.084
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0336 0.92276 0.000 0.000 0.992 0.008
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.3142 0.80755 0.000 0.860 0.008 0.132
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 4 0.2522 0.70329 0.052 0.016 0.012 0.920
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 4 0.3584 0.72406 0.152 0.008 0.004 0.836
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.3625 0.79114 0.012 0.828 0.000 0.160
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.5143 0.54430 0.004 0.540 0.000 0.456
#> 8DBE419E-A360-4493-AC3B-C145887D9237 4 0.4866 0.28313 0.000 0.000 0.404 0.596
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0895 0.83404 0.000 0.976 0.004 0.020
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0188 0.89554 0.996 0.000 0.000 0.004
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0336 0.92276 0.000 0.000 0.992 0.008
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.1389 0.87966 0.952 0.000 0.000 0.048
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.89548 1.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.1557 0.87641 0.944 0.000 0.000 0.056
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.3249 0.80327 0.000 0.852 0.008 0.140
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.3508 0.69778 0.060 0.064 0.004 0.872
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.1004 0.83350 0.000 0.972 0.004 0.024
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0188 0.89554 0.996 0.000 0.000 0.004
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 4 0.4820 0.72071 0.168 0.000 0.060 0.772
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.7626 0.40820 0.000 0.412 0.204 0.384
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 4 0.7839 -0.36037 0.000 0.352 0.264 0.384
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.7626 0.40820 0.000 0.412 0.204 0.384
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0336 0.92276 0.000 0.000 0.992 0.008
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.3307 0.81302 0.868 0.028 0.000 0.104
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.2814 0.82263 0.868 0.000 0.000 0.132
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.2760 0.82518 0.872 0.000 0.000 0.128
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.2868 0.81710 0.864 0.000 0.000 0.136
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.7663 0.39418 0.000 0.408 0.212 0.380
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0188 0.89554 0.996 0.000 0.000 0.004
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.4922 0.76002 0.000 0.736 0.036 0.228
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.89548 1.000 0.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.1576 0.83188 0.000 0.948 0.004 0.048
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.3659 0.78569 0.000 0.024 0.840 0.136
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.2973 0.78240 0.856 0.000 0.000 0.144
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0188 0.89554 0.996 0.000 0.000 0.004
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0657 0.91384 0.000 0.004 0.984 0.012
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0188 0.89554 0.996 0.000 0.000 0.004
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.1211 0.82964 0.000 0.960 0.000 0.040
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.89548 1.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0336 0.92276 0.000 0.000 0.992 0.008
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0188 0.89554 0.996 0.000 0.000 0.004
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.6269 0.45377 0.632 0.272 0.000 0.096
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.5624 0.56601 0.720 0.108 0.000 0.172
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0188 0.89554 0.996 0.000 0.000 0.004
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 4 0.3074 0.61794 0.000 0.000 0.152 0.848
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0336 0.92276 0.000 0.000 0.992 0.008
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0188 0.89554 0.996 0.000 0.000 0.004
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.4697 0.72858 0.000 0.696 0.008 0.296
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.4925 0.42586 0.428 0.000 0.000 0.572
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0895 0.83404 0.000 0.976 0.004 0.020
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.4781 0.69981 0.000 0.660 0.004 0.336
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.5861 0.63409 0.140 0.024 0.096 0.740
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.5112 0.63880 0.000 0.608 0.008 0.384
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0469 0.92056 0.000 0.000 0.988 0.012
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.2921 0.81677 0.860 0.000 0.000 0.140
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0188 0.89554 0.996 0.000 0.000 0.004
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.2469 0.84402 0.892 0.000 0.000 0.108
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.5168 0.44764 0.000 0.500 0.004 0.496
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.4137 0.71330 0.208 0.000 0.012 0.780
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.1489 0.83576 0.000 0.952 0.004 0.044
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.4888 0.44407 0.412 0.000 0.000 0.588
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.3837 0.70938 0.776 0.000 0.000 0.224
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.3873 0.78672 0.000 0.772 0.000 0.228
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.1186 0.84448 0.008 0.964 0.000 0.008 0.020
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.3048 0.71391 0.004 0.000 0.000 0.820 0.176
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.5522 0.81696 0.000 0.212 0.084 0.024 0.680
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.86380 1.000 0.000 0.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.3210 0.68641 0.212 0.000 0.000 0.788 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.1270 0.77059 0.052 0.000 0.000 0.948 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.1648 0.77159 0.040 0.000 0.000 0.940 0.020
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 4 0.3074 0.70588 0.000 0.000 0.000 0.804 0.196
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.4329 0.80176 0.000 0.312 0.000 0.016 0.672
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.5010 0.69434 0.688 0.000 0.000 0.224 0.088
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.85818 0.000 1.000 0.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.4278 0.58217 0.000 0.000 0.000 0.548 0.452
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.4610 0.81506 0.000 0.296 0.020 0.008 0.676
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.3693 0.72075 0.008 0.000 0.124 0.824 0.044
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0798 0.85473 0.976 0.000 0.000 0.008 0.016
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.4708 0.04817 0.436 0.000 0.000 0.548 0.016
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.4946 0.64920 0.052 0.000 0.000 0.648 0.300
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.4182 0.68476 0.000 0.400 0.000 0.000 0.600
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.4036 0.74146 0.144 0.000 0.000 0.788 0.068
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.86380 1.000 0.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 4 0.3612 0.64207 0.000 0.000 0.000 0.732 0.268
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 4 0.3659 0.70866 0.220 0.000 0.000 0.768 0.012
#> C1323790-6C24-4E54-A266-AE66588C1DD5 4 0.4367 0.29517 0.000 0.000 0.416 0.580 0.004
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.4779 0.72180 0.716 0.000 0.000 0.200 0.084
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.4339 0.81200 0.000 0.296 0.000 0.020 0.684
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.86380 1.000 0.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.4283 0.58093 0.000 0.000 0.000 0.544 0.456
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.4291 0.57726 0.000 0.000 0.000 0.536 0.464
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 4 0.4242 0.35643 0.428 0.000 0.000 0.572 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.6521 0.05628 0.000 0.484 0.000 0.272 0.244
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.1697 0.77108 0.060 0.000 0.000 0.932 0.008
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.4412 0.75434 0.756 0.000 0.000 0.164 0.080
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.5312 0.65202 0.648 0.000 0.000 0.256 0.096
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.1041 0.76716 0.004 0.000 0.000 0.964 0.032
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.86380 1.000 0.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 4 0.4968 0.11302 0.028 0.000 0.000 0.516 0.456
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.3143 0.72719 0.204 0.000 0.000 0.796 0.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.2482 0.76167 0.084 0.000 0.000 0.892 0.024
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.4355 0.75667 0.760 0.000 0.000 0.164 0.076
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.5264 0.65606 0.652 0.000 0.000 0.256 0.092
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.85818 0.000 1.000 0.000 0.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0162 0.85708 0.000 0.996 0.000 0.000 0.004
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.4522 0.74693 0.744 0.000 0.000 0.176 0.080
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.86380 1.000 0.000 0.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.86380 1.000 0.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.5723 0.39747 0.520 0.000 0.000 0.392 0.088
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.1952 0.86117 0.000 0.000 0.912 0.084 0.004
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.85818 0.000 1.000 0.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.4425 0.81255 0.000 0.296 0.000 0.024 0.680
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.3183 0.79271 0.828 0.000 0.000 0.156 0.016
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0798 0.85079 0.000 0.976 0.000 0.008 0.016
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.1469 0.85214 0.948 0.000 0.000 0.036 0.016
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.3143 0.55898 0.000 0.796 0.000 0.000 0.204
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.1106 0.84779 0.000 0.964 0.000 0.012 0.024
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.94079 0.000 0.000 1.000 0.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.4989 0.35899 0.000 0.552 0.000 0.032 0.416
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.86380 1.000 0.000 0.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.86380 1.000 0.000 0.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.4089 0.56776 0.204 0.764 0.000 0.008 0.024
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.85818 0.000 1.000 0.000 0.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 4 0.3883 0.69148 0.244 0.000 0.004 0.744 0.008
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.86380 1.000 0.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 5 0.4015 0.76678 0.000 0.348 0.000 0.000 0.652
#> D6654189-0570-4603-8C92-3032F2CF7EF3 4 0.5216 0.54365 0.000 0.000 0.044 0.520 0.436
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0290 0.85482 0.000 0.992 0.000 0.000 0.008
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0000 0.94079 0.000 0.000 1.000 0.000 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.2532 0.75358 0.088 0.892 0.000 0.008 0.012
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.5086 0.24882 0.000 0.000 0.564 0.396 0.040
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.3257 0.77705 0.844 0.004 0.000 0.028 0.124
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.4287 0.58050 0.000 0.000 0.000 0.540 0.460
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.85818 0.000 1.000 0.000 0.000 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.1041 0.91839 0.000 0.000 0.964 0.032 0.004
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.2833 0.74397 0.140 0.000 0.004 0.852 0.004
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.5192 0.66609 0.664 0.000 0.000 0.244 0.092
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0324 0.85709 0.000 0.992 0.000 0.004 0.004
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.94079 0.000 0.000 1.000 0.000 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0898 0.84930 0.000 0.972 0.000 0.008 0.020
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.4273 0.58618 0.000 0.000 0.000 0.552 0.448
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.5651 0.62318 0.620 0.000 0.000 0.248 0.132
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.3970 0.77499 0.788 0.000 0.000 0.156 0.056
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.3670 0.63439 0.020 0.796 0.000 0.004 0.180
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 5 0.4288 0.79195 0.000 0.324 0.000 0.012 0.664
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.1830 0.77195 0.028 0.000 0.000 0.932 0.040
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.1444 0.85154 0.948 0.000 0.000 0.040 0.012
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#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.94079 0.000 0.000 1.000 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.3916 0.78255 0.804 0.000 0.000 0.104 0.092
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.5216 0.66136 0.660 0.000 0.000 0.248 0.092
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.4671 0.60719 0.640 0.000 0.000 0.332 0.028
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.4890 0.33030 0.524 0.000 0.000 0.452 0.024
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.5423 0.80163 0.000 0.168 0.112 0.020 0.700
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.86380 1.000 0.000 0.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.4539 0.79928 0.000 0.320 0.012 0.008 0.660
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.86380 1.000 0.000 0.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.1117 0.84541 0.000 0.964 0.000 0.016 0.020
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.4748 0.01320 0.000 0.000 0.492 0.016 0.492
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.3910 0.59310 0.720 0.000 0.000 0.272 0.008
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.86380 1.000 0.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.1205 0.91499 0.000 0.000 0.956 0.040 0.004
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.86380 1.000 0.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.85818 0.000 1.000 0.000 0.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.86380 1.000 0.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.94079 0.000 0.000 1.000 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.86380 1.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.6714 0.37608 0.496 0.296 0.000 0.012 0.196
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.4538 0.68779 0.752 0.008 0.000 0.060 0.180
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.86380 1.000 0.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 4 0.3123 0.71166 0.000 0.000 0.004 0.812 0.184
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.94079 0.000 0.000 1.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0162 0.86221 0.996 0.000 0.000 0.004 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.4339 0.81200 0.000 0.296 0.000 0.020 0.684
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.3055 0.74278 0.144 0.000 0.000 0.840 0.016
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0162 0.85708 0.000 0.996 0.000 0.000 0.004
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.4252 0.81608 0.000 0.280 0.000 0.020 0.700
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.6627 0.02401 0.120 0.000 0.024 0.388 0.468
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.4275 0.81585 0.000 0.284 0.000 0.020 0.696
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.1282 0.90843 0.000 0.000 0.952 0.044 0.004
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.5472 0.63574 0.632 0.000 0.000 0.260 0.108
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0451 0.85827 0.988 0.000 0.000 0.008 0.004
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.5010 0.69335 0.688 0.000 0.000 0.224 0.088
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.4865 0.80557 0.000 0.252 0.000 0.064 0.684
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.2054 0.77358 0.052 0.000 0.000 0.920 0.028
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.2377 0.72881 0.000 0.872 0.000 0.000 0.128
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.2209 0.76475 0.056 0.000 0.000 0.912 0.032
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.6254 0.39832 0.500 0.000 0.000 0.340 0.160
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.3182 0.72344 0.000 0.844 0.000 0.032 0.124
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.2213 0.86469 0.020 0.904 0.000 0.068 0.004 0.004
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 6 0.1890 0.76519 0.000 0.000 0.000 0.024 0.060 0.916
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.3005 0.87420 0.000 0.088 0.036 0.012 0.860 0.004
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.83996 1.000 0.000 0.000 0.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 6 0.3686 0.68319 0.136 0.000 0.000 0.060 0.008 0.796
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 6 0.0603 0.76492 0.004 0.000 0.000 0.016 0.000 0.980
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 6 0.0692 0.76476 0.000 0.000 0.000 0.020 0.004 0.976
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 6 0.2331 0.75265 0.000 0.000 0.000 0.032 0.080 0.888
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.2653 0.86644 0.000 0.144 0.000 0.012 0.844 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.5319 0.33882 0.368 0.000 0.000 0.520 0.000 0.112
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0260 0.89322 0.000 0.992 0.000 0.008 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.4882 0.45328 0.000 0.004 0.000 0.668 0.204 0.124
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.2754 0.87751 0.000 0.116 0.012 0.008 0.860 0.004
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 6 0.2231 0.76537 0.000 0.000 0.048 0.016 0.028 0.908
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.1410 0.80945 0.944 0.000 0.000 0.044 0.004 0.008
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 6 0.4632 0.48536 0.216 0.000 0.000 0.092 0.004 0.688
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.3753 0.50306 0.004 0.000 0.000 0.792 0.100 0.104
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.3230 0.81532 0.000 0.212 0.000 0.012 0.776 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 6 0.3051 0.75257 0.008 0.000 0.000 0.112 0.036 0.844
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.83996 1.000 0.000 0.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 6 0.3398 0.64290 0.000 0.000 0.000 0.008 0.252 0.740
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 6 0.2760 0.73370 0.116 0.000 0.000 0.024 0.004 0.856
#> C1323790-6C24-4E54-A266-AE66588C1DD5 6 0.2838 0.69165 0.000 0.000 0.188 0.000 0.004 0.808
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.5543 0.34143 0.364 0.000 0.000 0.516 0.008 0.112
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.2092 0.87464 0.000 0.124 0.000 0.000 0.876 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.83996 1.000 0.000 0.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.5422 0.39349 0.000 0.004 0.000 0.596 0.224 0.176
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.5500 0.37367 0.000 0.004 0.000 0.584 0.224 0.188
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 6 0.3073 0.70273 0.164 0.000 0.000 0.004 0.016 0.816
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 6 0.6138 0.09755 0.000 0.348 0.000 0.004 0.244 0.404
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 6 0.1728 0.74992 0.008 0.000 0.000 0.064 0.004 0.924
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.5488 0.17232 0.436 0.000 0.000 0.452 0.004 0.108
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.5320 0.36543 0.352 0.000 0.000 0.532 0.000 0.116
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 6 0.1003 0.76894 0.000 0.000 0.000 0.016 0.020 0.964
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.83996 1.000 0.000 0.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 6 0.3819 0.48838 0.000 0.000 0.000 0.012 0.316 0.672
#> 333F9855-9462-46B8-87C8-E9B01572C101 6 0.2680 0.73481 0.124 0.000 0.000 0.016 0.004 0.856
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 6 0.2356 0.72365 0.016 0.000 0.000 0.096 0.004 0.884
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.5489 0.14773 0.444 0.000 0.000 0.444 0.004 0.108
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.5368 0.32201 0.376 0.000 0.000 0.508 0.000 0.116
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.1003 0.88801 0.000 0.964 0.000 0.016 0.020 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0725 0.89187 0.000 0.976 0.000 0.012 0.012 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 4 0.5347 0.23585 0.412 0.000 0.000 0.480 0.000 0.108
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0146 0.83775 0.996 0.000 0.000 0.000 0.004 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.83996 1.000 0.000 0.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.6028 0.41682 0.276 0.000 0.000 0.468 0.004 0.252
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.2704 0.83478 0.000 0.000 0.844 0.000 0.016 0.140
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0717 0.89013 0.000 0.976 0.000 0.008 0.016 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.2531 0.87096 0.000 0.132 0.000 0.012 0.856 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.5003 0.33220 0.608 0.000 0.000 0.288 0.000 0.104
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.1267 0.88180 0.000 0.940 0.000 0.060 0.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.2405 0.76338 0.880 0.000 0.000 0.100 0.004 0.016
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.3629 0.51253 0.000 0.712 0.000 0.012 0.276 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.2828 0.84391 0.000 0.868 0.000 0.080 0.012 0.040
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0260 0.95097 0.000 0.000 0.992 0.008 0.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 4 0.6425 -0.04069 0.000 0.328 0.000 0.440 0.204 0.028
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0146 0.83775 0.996 0.000 0.000 0.000 0.004 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.83996 1.000 0.000 0.000 0.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.3342 0.78905 0.092 0.836 0.000 0.060 0.008 0.004
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0806 0.89216 0.000 0.972 0.000 0.020 0.008 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 6 0.2809 0.73164 0.128 0.000 0.000 0.004 0.020 0.848
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.83996 1.000 0.000 0.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 5 0.2877 0.85184 0.000 0.168 0.000 0.012 0.820 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 4 0.6453 0.26031 0.000 0.004 0.044 0.500 0.296 0.156
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.1151 0.88220 0.000 0.956 0.000 0.012 0.032 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0520 0.94962 0.000 0.000 0.984 0.008 0.008 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.2781 0.83270 0.064 0.876 0.000 0.048 0.008 0.004
#> 164DD212-0839-4644-8FEE-E6A07A60803B 6 0.4085 0.61926 0.000 0.000 0.232 0.000 0.052 0.716
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.4963 0.60496 0.748 0.056 0.000 0.048 0.112 0.036
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.4722 0.46344 0.000 0.004 0.000 0.688 0.192 0.116
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0909 0.89134 0.000 0.968 0.000 0.020 0.012 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.1719 0.91783 0.000 0.000 0.924 0.000 0.016 0.060
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 6 0.3101 0.73540 0.056 0.000 0.000 0.068 0.020 0.856
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.5476 0.34609 0.364 0.000 0.000 0.516 0.004 0.116
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0972 0.89277 0.000 0.964 0.000 0.028 0.008 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0146 0.95059 0.000 0.000 0.996 0.004 0.000 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.1644 0.87540 0.000 0.920 0.000 0.076 0.000 0.004
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.4787 0.45036 0.000 0.004 0.000 0.672 0.220 0.104
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.5096 0.43471 0.292 0.000 0.000 0.596 0.000 0.112
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.5603 0.11122 0.520 0.000 0.000 0.336 0.004 0.140
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.3790 0.70391 0.024 0.752 0.000 0.004 0.216 0.004
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 5 0.2730 0.86207 0.000 0.152 0.000 0.012 0.836 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 6 0.3565 0.55551 0.004 0.000 0.000 0.276 0.004 0.716
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.2909 0.71005 0.836 0.000 0.000 0.136 0.000 0.028
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0260 0.95097 0.000 0.000 0.992 0.008 0.000 0.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0000 0.83996 1.000 0.000 0.000 0.000 0.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.2376 0.87781 0.000 0.000 0.884 0.012 0.096 0.008
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.3961 0.49514 0.004 0.000 0.000 0.768 0.080 0.148
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.3459 0.55932 0.768 0.000 0.000 0.004 0.016 0.212
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.83996 1.000 0.000 0.000 0.000 0.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 5 0.3802 0.67349 0.000 0.312 0.000 0.012 0.676 0.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 6 0.1610 0.74881 0.000 0.000 0.000 0.084 0.000 0.916
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 6 0.3103 0.65174 0.000 0.000 0.000 0.208 0.008 0.784
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 6 0.5902 0.14007 0.304 0.000 0.000 0.184 0.008 0.504
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 6 0.2504 0.70340 0.004 0.000 0.000 0.136 0.004 0.856
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.5355 -0.10165 0.468 0.000 0.000 0.424 0.000 0.108
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.5490 0.16000 0.540 0.000 0.000 0.328 0.004 0.128
#> 7465251E-7BC8-4179-8950-4E41836CF36B 5 0.2346 0.87511 0.000 0.124 0.000 0.000 0.868 0.008
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 6 0.3719 0.56501 0.024 0.000 0.000 0.248 0.000 0.728
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.2070 0.83633 0.000 0.892 0.000 0.008 0.100 0.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 4 0.5636 0.48500 0.144 0.048 0.000 0.688 0.084 0.036
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.5317 0.27414 0.580 0.328 0.000 0.076 0.004 0.012
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.0260 0.95097 0.000 0.000 0.992 0.008 0.000 0.000
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#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.5540 0.36962 0.348 0.000 0.000 0.520 0.004 0.128
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.6187 -0.14085 0.400 0.000 0.000 0.276 0.004 0.320
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 6 0.5762 0.15376 0.188 0.000 0.000 0.284 0.004 0.524
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.3361 0.86445 0.000 0.072 0.052 0.016 0.848 0.012
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.83996 1.000 0.000 0.000 0.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.2766 0.87236 0.000 0.140 0.008 0.008 0.844 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.83996 1.000 0.000 0.000 0.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.2094 0.87396 0.000 0.912 0.004 0.060 0.004 0.020
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.4034 0.45626 0.000 0.000 0.336 0.012 0.648 0.004
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.4513 0.25632 0.572 0.000 0.000 0.028 0.004 0.396
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.83996 1.000 0.000 0.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.2425 0.88358 0.000 0.000 0.880 0.012 0.008 0.100
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.83996 1.000 0.000 0.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0622 0.89064 0.000 0.980 0.000 0.012 0.008 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.83996 1.000 0.000 0.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0260 0.95097 0.000 0.000 0.992 0.008 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.83996 1.000 0.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 4 0.7029 0.30477 0.252 0.256 0.000 0.428 0.056 0.008
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.4831 0.52896 0.708 0.016 0.000 0.008 0.188 0.080
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.83996 1.000 0.000 0.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 6 0.3052 0.73826 0.000 0.000 0.004 0.068 0.080 0.848
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0260 0.95097 0.000 0.000 0.992 0.008 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.83996 1.000 0.000 0.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.2446 0.87298 0.000 0.124 0.000 0.012 0.864 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 6 0.3755 0.67136 0.032 0.000 0.000 0.172 0.016 0.780
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0508 0.89314 0.000 0.984 0.000 0.004 0.012 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.3210 0.86896 0.000 0.124 0.000 0.032 0.832 0.012
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.5648 -0.00147 0.064 0.000 0.016 0.012 0.464 0.444
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.2346 0.87511 0.000 0.124 0.000 0.000 0.868 0.008
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.2278 0.85354 0.000 0.000 0.868 0.000 0.004 0.128
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.5324 0.38200 0.340 0.000 0.000 0.540 0.000 0.120
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0717 0.82771 0.976 0.000 0.000 0.008 0.016 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.5319 0.33882 0.368 0.000 0.000 0.520 0.000 0.112
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.3113 0.86168 0.000 0.100 0.000 0.008 0.844 0.048
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 6 0.1036 0.77155 0.004 0.000 0.000 0.008 0.024 0.964
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.2668 0.76664 0.000 0.828 0.000 0.004 0.168 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 6 0.3586 0.53145 0.004 0.000 0.000 0.280 0.004 0.712
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.5076 0.47460 0.248 0.000 0.000 0.620 0.000 0.132
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.4095 0.79827 0.000 0.792 0.000 0.088 0.048 0.072
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "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 17416 rows and 433 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.812 0.895 0.955 0.5014 0.499 0.499
#> 3 3 0.865 0.893 0.954 0.3049 0.774 0.578
#> 4 4 0.690 0.651 0.787 0.1214 0.883 0.685
#> 5 5 0.815 0.773 0.900 0.0868 0.870 0.576
#> 6 6 0.801 0.671 0.832 0.0364 0.930 0.687
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 1 0.9710 0.3811 0.600 0.400
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.8861 0.5778 0.304 0.696
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0000 0.9481 0.000 1.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.9549 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0000 0.9549 1.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.0000 0.9549 1.000 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.9970 0.0323 0.532 0.468
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.0000 0.9481 0.000 1.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.9481 0.000 1.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.9549 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9481 0.000 1.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.9427 0.4751 0.640 0.360
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.9481 0.000 1.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.8861 0.5822 0.696 0.304
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9549 1.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.9549 1.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0000 0.9549 1.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.9481 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 2 0.8016 0.7001 0.244 0.756
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.9549 1.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0000 0.9481 0.000 1.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.0000 0.9549 1.000 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.3879 0.8911 0.076 0.924
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.9549 1.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.9481 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9549 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.9686 0.3912 0.604 0.396
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.0000 0.9481 0.000 1.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0000 0.9549 1.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.1184 0.9369 0.016 0.984
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.0000 0.9549 1.000 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.9549 1.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.9549 1.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 2 0.9580 0.4469 0.380 0.620
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9549 1.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.7219 0.7599 0.200 0.800
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.0000 0.9549 1.000 0.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.9549 1.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.9549 1.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.9549 1.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.9481 0.000 1.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9481 0.000 1.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.9549 1.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.9549 1.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.9549 1.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.9549 1.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.1843 0.9296 0.028 0.972
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.9481 0.000 1.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.9481 0.000 1.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.9549 1.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.9481 0.000 1.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.9549 1.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.9481 0.000 1.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.9481 0.000 1.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 2 0.0000 0.9481 0.000 1.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0938 0.9399 0.012 0.988
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.9549 1.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.9549 1.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.7219 0.7479 0.800 0.200
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.9481 0.000 1.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 1 0.9608 0.3206 0.616 0.384
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.9549 1.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.9481 0.000 1.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.0000 0.9481 0.000 1.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.9481 0.000 1.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 2 0.7219 0.7599 0.200 0.800
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 1 0.9686 0.3912 0.604 0.396
#> 164DD212-0839-4644-8FEE-E6A07A60803B 2 0.3274 0.9048 0.060 0.940
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.7139 0.7532 0.804 0.196
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 1 0.7219 0.7479 0.800 0.200
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.9481 0.000 1.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 2 0.0000 0.9481 0.000 1.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.0000 0.9549 1.000 0.000
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0000 0.9549 1.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.9481 0.000 1.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 2 0.0000 0.9481 0.000 1.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.9481 0.000 1.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.0376 0.9517 0.996 0.004
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0000 0.9549 1.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0000 0.9549 1.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 1 0.9491 0.4574 0.632 0.368
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.9481 0.000 1.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 2 0.9710 0.3988 0.400 0.600
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0000 0.9549 1.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 2 0.2423 0.9207 0.040 0.960
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0000 0.9549 1.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 2 0.0000 0.9481 0.000 1.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 1 0.0000 0.9549 1.000 0.000
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#> 9972E418-EFEC-4AA6-AA83-98D79D74DFB4 1 0.0000 0.9549 1.000 0.000
#> 3F9403BF-0B47-40E4-8709-9DB0D218E607 1 0.0000 0.9549 1.000 0.000
#> E9595675-4155-43BB-8E68-FC59D55C62E6 1 0.0000 0.9549 1.000 0.000
#> 4B6DDD8E-AB89-4C9D-8D48-AD81B8FB4A31 2 0.0000 0.9481 0.000 1.000
#> EEDFA1F7-26D8-426A-93F5-43CCF0B3CF59 2 0.0000 0.9481 0.000 1.000
#> 2C26486A-A737-4B2F-9D98-28A700081CDA 2 0.0000 0.9481 0.000 1.000
#> 458FCE33-422D-4C4C-A9CF-ABFED8B19D4A 2 0.0000 0.9481 0.000 1.000
#> A66FCDA9-6775-4052-94C4-12E173DF4084 1 0.0000 0.9549 1.000 0.000
#> E3F52C71-F558-47C7-B956-BC79F98EFD5D 2 0.0000 0.9481 0.000 1.000
#> 82C75B87-33D1-4317-AC48-7043A3D677EC 2 0.2043 0.9267 0.032 0.968
#> E4DB5591-7C73-4792-B86F-3B2FB59C66BD 2 0.0000 0.9481 0.000 1.000
#> FEF62FF9-F25E-49A7-B1E4-84099D13A309 2 0.0000 0.9481 0.000 1.000
#> 3D6CE155-4E02-4739-A8C9-30981EA9B0B1 1 0.0000 0.9549 1.000 0.000
#> 0A3AB174-07D0-4396-A6C5-9ECEEBE8651C 1 0.0000 0.9549 1.000 0.000
#> 86ACC3DD-A9E8-4FDA-ACF9-33175CE06629 1 0.0000 0.9549 1.000 0.000
#> A3150223-5399-4CC6-90A7-6046F39FAC3E 2 0.0000 0.9481 0.000 1.000
#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 1 0.0000 0.9549 1.000 0.000
#> 99D8A9E2-773C-4142-9A93-5F749961F712 1 0.0000 0.9549 1.000 0.000
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 2 0.0000 0.9481 0.000 1.000
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 1 0.0000 0.9549 1.000 0.000
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 2 0.1843 0.9296 0.028 0.972
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 1 0.0000 0.9549 1.000 0.000
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 2 0.0000 0.9481 0.000 1.000
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 2 0.9710 0.2872 0.400 0.600
#> 14003AA2-81B6-4143-98AD-124903BAE56B 1 0.0000 0.9549 1.000 0.000
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.0000 0.9549 1.000 0.000
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.8144 0.6389 0.252 0.748
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.9970 0.0532 0.468 0.532
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.0000 0.9481 0.000 1.000
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 2 0.0000 0.9481 0.000 1.000
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 2 0.0000 0.9481 0.000 1.000
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.0000 0.9549 1.000 0.000
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0000 0.9549 1.000 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 2 0.0000 0.9481 0.000 1.000
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 2 0.0000 0.9481 0.000 1.000
#> 420503AA-3799-4816-BEEC-0B4D05988D38 2 0.0000 0.9481 0.000 1.000
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0000 0.9549 1.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.9549 1.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.0000 0.9481 0.000 1.000
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0000 0.9549 1.000 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0000 0.9549 1.000 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.0376 0.9455 0.004 0.996
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 1 0.5178 0.8472 0.884 0.116
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.0000 0.9481 0.000 1.000
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.9481 0.000 1.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.9481 0.000 1.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.0000 0.9549 1.000 0.000
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.0000 0.9481 0.000 1.000
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.0000 0.9481 0.000 1.000
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0000 0.9481 0.000 1.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 2 0.0000 0.9481 0.000 1.000
#> B822A426-98C1-4976-9FC2-16347992AD78 2 0.8555 0.6436 0.280 0.720
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.9481 0.000 1.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0000 0.9549 1.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.9481 0.000 1.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 2 0.0000 0.9481 0.000 1.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.0000 0.9481 0.000 1.000
#> E9894334-C852-4159-9FEB-40292B160CC1 2 0.0000 0.9481 0.000 1.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 1 0.6887 0.7685 0.816 0.184
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.0000 0.9549 1.000 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 1 0.9963 0.1948 0.536 0.464
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.7219 0.7479 0.800 0.200
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0000 0.9481 0.000 1.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 1 0.7219 0.7479 0.800 0.200
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 2 0.0000 0.9481 0.000 1.000
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 2 0.9580 0.4469 0.380 0.620
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.9481 0.000 1.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.0376 0.9517 0.996 0.004
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 2 0.9710 0.3988 0.400 0.600
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.0000 0.9481 0.000 1.000
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.9549 1.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.0000 0.9549 1.000 0.000
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.0376 0.9515 0.996 0.004
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.9549 1.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.0000 0.9549 1.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 2 0.9661 0.4184 0.392 0.608
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.0000 0.9481 0.000 1.000
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.9549 1.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.9549 1.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.9481 0.000 1.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.9549 1.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.9481 0.000 1.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.9549 1.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0000 0.9549 1.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0000 0.9549 1.000 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 1 0.9710 0.3811 0.600 0.400
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.2236 0.9208 0.036 0.964
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.9481 0.000 1.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0000 0.9549 1.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.9481 0.000 1.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.1414 0.9374 0.980 0.020
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.9481 0.000 1.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 2 0.0000 0.9481 0.000 1.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.9481 0.000 1.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 2 0.9000 0.5801 0.316 0.684
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 2 0.7056 0.7698 0.192 0.808
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 1 0.9209 0.5253 0.664 0.336
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0000 0.9481 0.000 1.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 2 0.2948 0.9113 0.052 0.948
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.9481 0.000 1.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.9549 1.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.0000 0.9481 0.000 1.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.9549 1.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.9549 1.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.9549 1.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.9481 0.000 1.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 2 0.1414 0.9355 0.020 0.980
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.9481 0.000 1.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.9549 1.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 2 0.9815 0.3462 0.420 0.580
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 0.9481 0.000 1.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0000 0.9481 0.000 1.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0000 0.9481 0.000 1.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.0000 0.9481 0.000 1.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0000 0.9549 1.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.9549 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.9549 1.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.9549 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.9481 0.000 1.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.9549 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.9481 0.000 1.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.9549 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.9481 0.000 1.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0000 0.9481 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.9549 1.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.9549 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.0000 0.9481 0.000 1.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.9549 1.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.9481 0.000 1.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.9549 1.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.0000 0.9481 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.9549 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.7219 0.7479 0.800 0.200
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.7219 0.7479 0.800 0.200
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9549 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.0000 0.9481 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.0000 0.9481 0.000 1.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.9549 1.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.9481 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.9549 1.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.9481 0.000 1.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.9481 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.7219 0.7599 0.200 0.800
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.9481 0.000 1.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.1414 0.9351 0.020 0.980
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.9549 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.9549 1.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.9549 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.9481 0.000 1.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 2 0.9710 0.3988 0.400 0.600
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.9481 0.000 1.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.9549 1.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.9549 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.9481 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.9709 0.000 1.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.0000 0.9024 0.000 0.000 1.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 3 0.6111 0.4025 0.000 0.396 0.604
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.9684 1.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0000 0.9684 1.000 0.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.4750 0.7019 0.216 0.000 0.784
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.1289 0.8854 0.032 0.000 0.968
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.0000 0.9024 0.000 0.000 1.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.9709 0.000 1.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.9684 1.000 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9709 0.000 1.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 3 0.1964 0.8708 0.000 0.056 0.944
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.6302 -0.0234 0.000 0.520 0.480
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.0592 0.8960 0.012 0.000 0.988
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9684 1.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.9684 1.000 0.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0000 0.9684 1.000 0.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.9709 0.000 1.000 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.4346 0.7718 0.184 0.000 0.816
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.9684 1.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 3 0.6192 0.2849 0.000 0.420 0.580
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.2261 0.9024 0.932 0.068 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0000 0.9024 0.000 0.000 1.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.9684 1.000 0.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.9709 0.000 1.000 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9684 1.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.6308 0.0583 0.508 0.492 0.000
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 3 0.1860 0.8734 0.000 0.052 0.948
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0000 0.9684 1.000 0.000 0.000
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#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.9709 0.000 1.000 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.0000 0.9024 0.000 0.000 1.000
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.9709 0.000 1.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.9684 1.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.0000 0.9024 0.000 0.000 1.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 3 0.5859 0.5185 0.000 0.344 0.656
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.5621 0.5861 0.000 0.308 0.692
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.5835 0.5265 0.000 0.340 0.660
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.9024 0.000 0.000 1.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0237 0.9647 0.996 0.004 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.9684 1.000 0.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.9684 1.000 0.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.9684 1.000 0.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 3 0.3116 0.8338 0.000 0.108 0.892
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.9684 1.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0592 0.9598 0.000 0.988 0.012
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.9684 1.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.6095 0.2950 0.000 0.608 0.392
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.0000 0.9024 0.000 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.4555 0.7419 0.800 0.000 0.200
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.9684 1.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.9024 0.000 0.000 1.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.9684 1.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.9709 0.000 1.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.9684 1.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.9024 0.000 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.9684 1.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.4842 0.7052 0.776 0.224 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.6026 0.4102 0.624 0.376 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9684 1.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0000 0.9024 0.000 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.9024 0.000 0.000 1.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.9684 1.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.9709 0.000 1.000 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0592 0.9570 0.988 0.000 0.012
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.9709 0.000 1.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.9709 0.000 1.000 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 3 0.0000 0.9024 0.000 0.000 1.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.9709 0.000 1.000 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.9024 0.000 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.9684 1.000 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.9684 1.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.9684 1.000 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0592 0.9598 0.000 0.988 0.012
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.0892 0.8924 0.020 0.000 0.980
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.9709 0.000 1.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.9684 1.000 0.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.9684 1.000 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.9709 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.5112 0.47563 0.436 0.004 0.560 0.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 4 0.6797 0.54986 0.000 0.356 0.108 0.536
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.4164 0.75509 0.736 0.000 0.000 0.264
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.4679 0.55915 0.352 0.000 0.648 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.4776 0.53300 0.376 0.000 0.624 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.3031 0.78469 0.040 0.028 0.904 0.028
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 3 0.5546 0.58758 0.268 0.052 0.680 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 4 0.6270 0.52952 0.000 0.404 0.060 0.536
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.1637 0.71091 0.940 0.000 0.000 0.060
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.3088 0.73638 0.008 0.000 0.864 0.128
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 82341457-7386-4C56-9DAF-A8F020055685 4 0.6953 0.50600 0.000 0.128 0.336 0.536
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 4 0.7886 -0.42032 0.228 0.300 0.008 0.464
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.3907 0.55497 0.232 0.768 0.000 0.000
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 3 0.4734 0.72154 0.096 0.024 0.816 0.064
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.4989 -0.28650 0.528 0.000 0.000 0.472
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.3688 0.68921 0.208 0.000 0.792 0.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 2A08011A-E15E-4754-B560-4637EF3A446B 4 0.7269 0.38185 0.200 0.000 0.264 0.536
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.4406 0.76240 0.700 0.000 0.000 0.300
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.3528 0.59724 0.808 0.000 0.192 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0336 0.69297 0.992 0.000 0.000 0.008
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.4406 0.28632 0.000 0.700 0.000 0.300
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.3074 0.73411 0.848 0.000 0.000 0.152
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.4907 0.77077 0.580 0.000 0.000 0.420
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.3801 0.50662 0.000 0.780 0.000 0.220
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.1474 0.78350 0.000 0.948 0.000 0.052
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0469 0.82574 0.000 0.988 0.000 0.012
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.3649 0.66297 0.000 0.000 0.796 0.204
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> D6654189-0570-4603-8C92-3032F2CF7EF3 3 0.3791 0.60457 0.000 0.200 0.796 0.004
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.1637 0.77912 0.000 0.940 0.000 0.060
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.0188 0.83185 0.000 0.996 0.000 0.004
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.6378 0.36435 0.108 0.628 0.000 0.264
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 1 0.6969 0.16895 0.584 0.192 0.224 0.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.4746 0.03202 0.000 0.632 0.000 0.368
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.4452 0.70800 0.156 0.000 0.796 0.048
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.2530 0.58466 0.888 0.112 0.000 0.000
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.2814 0.73235 0.868 0.000 0.000 0.132
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.4981 0.36893 0.464 0.000 0.000 0.536
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.4955 0.77338 0.556 0.000 0.000 0.444
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.0921 0.81364 0.000 0.000 0.972 0.028
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 3 0.4989 0.44293 0.472 0.000 0.528 0.000
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 3 0.4981 0.45160 0.464 0.000 0.536 0.000
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 1 0.7226 -0.38496 0.468 0.000 0.388 0.144
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.3266 0.73745 0.832 0.000 0.000 0.168
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.1557 0.70908 0.944 0.000 0.000 0.056
#> 7465251E-7BC8-4179-8950-4E41836CF36B 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 2 0.7169 0.20562 0.332 0.516 0.000 0.152
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.4193 0.49940 0.000 0.732 0.000 0.268
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 3 0.3172 0.70849 0.000 0.000 0.840 0.160
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 4 0.6270 0.38641 0.404 0.000 0.060 0.536
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.4713 0.76575 0.640 0.000 0.000 0.360
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> B54317C9-8704-42A6-BE96-E12855874596 3 0.6074 0.40963 0.000 0.228 0.668 0.104
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0000 0.83498 0.000 1.000 0.000 0.000
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#> 3F9403BF-0B47-40E4-8709-9DB0D218E607 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> E9595675-4155-43BB-8E68-FC59D55C62E6 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 4B6DDD8E-AB89-4C9D-8D48-AD81B8FB4A31 4 0.7216 0.56747 0.000 0.284 0.180 0.536
#> EEDFA1F7-26D8-426A-93F5-43CCF0B3CF59 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 2C26486A-A737-4B2F-9D98-28A700081CDA 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 458FCE33-422D-4C4C-A9CF-ABFED8B19D4A 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> A66FCDA9-6775-4052-94C4-12E173DF4084 1 0.3123 0.72747 0.844 0.000 0.000 0.156
#> E3F52C71-F558-47C7-B956-BC79F98EFD5D 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> 82C75B87-33D1-4317-AC48-7043A3D677EC 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> E4DB5591-7C73-4792-B86F-3B2FB59C66BD 2 0.0188 0.83210 0.000 0.996 0.000 0.004
#> FEF62FF9-F25E-49A7-B1E4-84099D13A309 3 0.3933 0.60072 0.000 0.200 0.792 0.008
#> 3D6CE155-4E02-4739-A8C9-30981EA9B0B1 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 0A3AB174-07D0-4396-A6C5-9ECEEBE8651C 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 86ACC3DD-A9E8-4FDA-ACF9-33175CE06629 1 0.4500 0.76156 0.684 0.000 0.000 0.316
#> A3150223-5399-4CC6-90A7-6046F39FAC3E 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 1 0.4040 0.74957 0.752 0.000 0.000 0.248
#> 99D8A9E2-773C-4142-9A93-5F749961F712 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 1 0.4830 -0.08824 0.608 0.000 0.000 0.392
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 3 0.4907 0.01111 0.000 0.000 0.580 0.420
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 2 0.4981 -0.32390 0.000 0.536 0.000 0.464
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 14003AA2-81B6-4143-98AD-124903BAE56B 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 4 0.7118 0.54382 0.000 0.156 0.308 0.536
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 3 0.7164 0.41396 0.240 0.204 0.556 0.000
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 4 0.4981 0.31556 0.000 0.000 0.464 0.536
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> 420503AA-3799-4816-BEEC-0B4D05988D38 4 0.6762 0.54986 0.000 0.360 0.104 0.536
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 4 0.4985 0.48787 0.000 0.468 0.000 0.532
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.4977 0.77350 0.540 0.000 0.000 0.460
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.7765 0.25413 0.244 0.528 0.212 0.016
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 2 0.5619 0.50733 0.124 0.724 0.000 0.152
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 4 0.6564 0.54108 0.000 0.380 0.084 0.536
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.4008 0.46867 0.756 0.000 0.244 0.000
#> B232056E-59B2-4D05-983D-8740D6994A71 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 4 0.6564 0.45779 0.000 0.084 0.380 0.536
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0592 0.82244 0.000 0.984 0.000 0.016
#> 000F8487-E841-4370-B958-85AB3A6D88F9 3 0.7706 -0.20091 0.000 0.300 0.448 0.252
#> B822A426-98C1-4976-9FC2-16347992AD78 3 0.0188 0.83429 0.004 0.000 0.996 0.000
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.3444 0.60836 0.000 0.816 0.000 0.184
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.0921 0.81150 0.028 0.972 0.000 0.000
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.1489 0.79371 0.044 0.952 0.000 0.004
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.0469 0.82457 0.000 0.988 0.000 0.012
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 4 0.4981 0.31556 0.000 0.000 0.464 0.536
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.4522 0.22586 0.000 0.680 0.000 0.320
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 4 0.7260 -0.64504 0.388 0.148 0.000 0.464
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 4 0.4706 0.42436 0.140 0.000 0.072 0.788
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 4 0.5576 0.35063 0.000 0.020 0.444 0.536
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.4103 0.75565 0.744 0.000 0.000 0.256
#> 197E34CA-EF43-495C-8AA4-858982333429 4 0.0336 0.26073 0.008 0.000 0.000 0.992
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.4661 0.76123 0.652 0.000 0.000 0.348
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 3 0.3893 0.69521 0.196 0.000 0.796 0.008
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.4985 0.08663 0.000 0.532 0.468 0.000
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.2345 0.72481 0.900 0.000 0.000 0.100
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.4040 0.53218 0.248 0.752 0.000 0.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.2408 0.72274 0.000 0.896 0.000 0.104
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.7335 -0.26511 0.488 0.000 0.168 0.344
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.4998 -0.39533 0.000 0.512 0.000 0.488
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 4 0.7251 0.57603 0.000 0.192 0.272 0.536
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.4830 0.51698 0.392 0.000 0.608 0.000
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 4 0.5581 0.31994 0.020 0.000 0.448 0.532
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.4977 0.77340 0.540 0.000 0.000 0.460
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.2530 0.72504 0.888 0.000 0.000 0.112
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.1211 0.70394 0.960 0.000 0.000 0.040
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.3610 0.58673 0.000 0.000 0.800 0.200
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.0469 0.83010 0.012 0.000 0.988 0.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 4 0.7172 0.56512 0.000 0.296 0.168 0.536
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 4 0.7229 0.56695 0.000 0.280 0.184 0.536
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 4 0.7188 0.56582 0.000 0.292 0.172 0.536
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.6396 0.72280 0.548 0.072 0.000 0.380
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.1211 0.70367 0.960 0.000 0.000 0.040
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0469 0.69481 0.988 0.000 0.000 0.012
#> D316C207-8020-47A7-8C2D-753CF42223B5 4 0.6831 0.49441 0.000 0.112 0.352 0.536
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 4 0.5147 0.49867 0.000 0.460 0.004 0.536
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 3 0.4999 0.00705 0.000 0.492 0.508 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 4 0.4981 0.31556 0.000 0.000 0.464 0.536
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.7309 0.66433 0.528 0.000 0.200 0.272
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.1389 0.79188 0.000 0.952 0.000 0.048
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 2 0.7775 -0.27286 0.376 0.384 0.000 0.240
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.7513 0.01746 0.296 0.488 0.000 0.216
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.5070 0.07661 0.580 0.000 0.004 0.416
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.4981 0.31556 0.000 0.000 0.464 0.536
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.83629 0.000 0.000 1.000 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.4981 0.77350 0.536 0.000 0.000 0.464
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 4 0.4981 0.49571 0.000 0.464 0.000 0.536
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.3172 0.72917 0.160 0.000 0.840 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.83498 0.000 1.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.69005 1.000 0.000 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 4 0.4992 0.47064 0.000 0.476 0.000 0.524
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.89954 0.000 1.000 0.000 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.6605 0.18198 0.000 0.000 0.432 0.348 0.220
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.0451 0.84295 0.000 0.004 0.008 0.000 0.988
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.3636 0.61161 0.728 0.000 0.000 0.272 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.4380 0.39746 0.000 0.000 0.616 0.376 0.008
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#> 420503AA-3799-4816-BEEC-0B4D05988D38 5 0.0451 0.84375 0.000 0.008 0.004 0.000 0.988
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 5 0.4045 0.46391 0.000 0.356 0.000 0.000 0.644
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0162 0.92619 0.996 0.000 0.000 0.004 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0290 0.92401 0.992 0.000 0.000 0.008 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 4 0.5221 0.34361 0.000 0.036 0.008 0.584 0.372
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 2 0.4538 0.42962 0.348 0.636 0.000 0.012 0.004
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 5 0.0451 0.84375 0.000 0.008 0.004 0.000 0.988
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.89954 0.000 1.000 0.000 0.000 0.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.89954 0.000 1.000 0.000 0.000 0.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 4 0.3430 0.65496 0.004 0.000 0.220 0.776 0.000
#> B232056E-59B2-4D05-983D-8740D6994A71 5 0.0404 0.84421 0.000 0.012 0.000 0.000 0.988
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 5 0.0404 0.84165 0.000 0.000 0.012 0.000 0.988
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0703 0.88556 0.000 0.976 0.000 0.000 0.024
#> 000F8487-E841-4370-B958-85AB3A6D88F9 5 0.1942 0.80786 0.000 0.012 0.068 0.000 0.920
#> B822A426-98C1-4976-9FC2-16347992AD78 3 0.0451 0.88983 0.000 0.000 0.988 0.008 0.004
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.89954 0.000 1.000 0.000 0.000 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0162 0.92628 0.996 0.000 0.000 0.004 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.89954 0.000 1.000 0.000 0.000 0.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.0000 0.89446 0.000 0.000 1.000 0.000 0.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 5 0.0404 0.84421 0.000 0.012 0.000 0.000 0.988
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.0000 0.89446 0.000 0.000 1.000 0.000 0.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.0290 0.89451 0.008 0.992 0.000 0.000 0.000
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.0290 0.86201 0.008 0.000 0.000 0.992 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.0566 0.89188 0.000 0.984 0.000 0.012 0.004
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.0162 0.89754 0.000 0.996 0.000 0.000 0.004
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0794 0.88292 0.000 0.972 0.000 0.000 0.028
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.0324 0.89651 0.004 0.992 0.000 0.000 0.004
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 5 0.0404 0.84165 0.000 0.000 0.012 0.000 0.988
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.0000 0.89446 0.000 0.000 1.000 0.000 0.000
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 5 0.3730 0.53626 0.000 0.288 0.000 0.000 0.712
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 5 0.4277 0.68765 0.076 0.000 0.000 0.156 0.768
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 5 0.0162 0.84147 0.000 0.000 0.004 0.000 0.996
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.0609 0.86322 0.020 0.000 0.000 0.980 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.2843 0.79460 0.848 0.000 0.000 0.144 0.008
#> 197E34CA-EF43-495C-8AA4-858982333429 5 0.4219 0.33494 0.416 0.000 0.000 0.000 0.584
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 4 0.0404 0.86262 0.012 0.000 0.000 0.988 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.4452 -0.08219 0.500 0.000 0.000 0.496 0.004
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 3 0.3544 0.72108 0.004 0.000 0.788 0.200 0.008
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.4304 0.04677 0.000 0.516 0.484 0.000 0.000
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 4 0.0510 0.86318 0.016 0.000 0.000 0.984 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.89954 0.000 1.000 0.000 0.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.3395 0.67605 0.236 0.000 0.000 0.764 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0510 0.89049 0.000 0.984 0.000 0.000 0.016
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 3 0.0000 0.89446 0.000 0.000 1.000 0.000 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.4367 0.21710 0.000 0.416 0.000 0.580 0.004
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.0162 0.89754 0.000 0.996 0.000 0.000 0.004
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0794 0.88240 0.000 0.972 0.000 0.000 0.028
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 4 0.0290 0.86201 0.008 0.000 0.000 0.992 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.0404 0.84421 0.000 0.012 0.000 0.000 0.988
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.0451 0.85734 0.000 0.000 0.004 0.988 0.008
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.4088 0.35459 0.000 0.632 0.000 0.000 0.368
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.89446 0.000 0.000 1.000 0.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 5 0.5304 0.52813 0.000 0.292 0.080 0.000 0.628
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.5058 0.36737 0.000 0.000 0.576 0.384 0.040
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 5 0.5114 0.46730 0.000 0.000 0.340 0.052 0.608
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.3109 0.69016 0.000 0.800 0.000 0.000 0.200
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 5 0.0404 0.84421 0.000 0.012 0.000 0.000 0.988
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.0000 0.89446 0.000 0.000 1.000 0.000 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.89954 0.000 1.000 0.000 0.000 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0703 0.91260 0.976 0.000 0.000 0.024 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.89446 0.000 0.000 1.000 0.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 4 0.4256 0.23259 0.436 0.000 0.000 0.564 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.1410 0.84590 0.060 0.000 0.000 0.940 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.3210 0.69174 0.000 0.212 0.000 0.000 0.788
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.2482 0.81329 0.000 0.024 0.892 0.000 0.084
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.89954 0.000 1.000 0.000 0.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.0579 0.88767 0.000 0.000 0.984 0.008 0.008
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.0404 0.84165 0.000 0.000 0.012 0.000 0.988
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.0404 0.84165 0.000 0.000 0.012 0.000 0.988
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.0404 0.84165 0.000 0.000 0.012 0.000 0.988
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.89446 0.000 0.000 1.000 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.4084 0.46608 0.668 0.000 0.000 0.328 0.004
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.0510 0.86318 0.016 0.000 0.000 0.984 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.3480 0.64990 0.248 0.000 0.000 0.752 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.1197 0.85129 0.048 0.000 0.000 0.952 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.0404 0.84165 0.000 0.000 0.012 0.000 0.988
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.0404 0.84421 0.000 0.012 0.000 0.000 0.988
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.4256 0.20025 0.000 0.564 0.436 0.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.3210 0.69302 0.000 0.000 0.212 0.000 0.788
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.3109 0.72962 0.800 0.000 0.200 0.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.89446 0.000 0.000 1.000 0.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.89954 0.000 1.000 0.000 0.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.89446 0.000 0.000 1.000 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 2 0.6138 0.09474 0.420 0.464 0.000 0.112 0.004
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.5080 0.43552 0.628 0.316 0.000 0.000 0.056
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0000 0.89446 0.000 0.000 1.000 0.000 0.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.89446 0.000 0.000 1.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.0404 0.84421 0.000 0.012 0.000 0.000 0.988
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.4777 0.52910 0.052 0.000 0.000 0.680 0.268
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.89954 0.000 1.000 0.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.0404 0.84421 0.000 0.012 0.000 0.000 0.988
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.4192 0.39246 0.000 0.000 0.404 0.000 0.596
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.0404 0.84421 0.000 0.012 0.000 0.000 0.988
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.89446 0.000 0.000 1.000 0.000 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0290 0.86193 0.008 0.000 0.000 0.992 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.92866 1.000 0.000 0.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.0703 0.86259 0.024 0.000 0.000 0.976 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.0404 0.84421 0.000 0.012 0.000 0.000 0.988
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.2612 0.80296 0.000 0.000 0.868 0.124 0.008
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0963 0.87557 0.000 0.964 0.000 0.000 0.036
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.0451 0.86167 0.008 0.000 0.000 0.988 0.004
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0162 0.86042 0.004 0.000 0.000 0.996 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 5 0.4192 0.36003 0.000 0.404 0.000 0.000 0.596
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0146 0.9112 0.000 0.996 0.000 0.000 0.000 0.004
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.5358 -0.1126 0.000 0.000 0.072 0.596 0.028 0.304
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.0000 0.8278 0.000 0.000 0.000 0.000 1.000 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.9049 1.000 0.000 0.000 0.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.5133 0.3630 0.336 0.000 0.000 0.564 0.000 0.100
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.1219 0.4114 0.000 0.000 0.048 0.948 0.000 0.004
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.3668 0.0413 0.000 0.000 0.328 0.668 0.000 0.004
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 5 0.5275 0.4025 0.000 0.000 0.064 0.388 0.532 0.016
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.0146 0.8267 0.000 0.004 0.000 0.000 0.996 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.4258 0.5488 0.016 0.000 0.000 0.516 0.000 0.468
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0146 0.9112 0.000 0.996 0.000 0.000 0.000 0.004
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 6 0.2488 0.5785 0.000 0.000 0.008 0.004 0.124 0.864
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.0000 0.8278 0.000 0.000 0.000 0.000 1.000 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.3706 0.5556 0.000 0.000 0.620 0.380 0.000 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0260 0.9002 0.992 0.000 0.000 0.000 0.000 0.008
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.1320 0.4406 0.036 0.000 0.000 0.948 0.000 0.016
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 6 0.0260 0.5210 0.000 0.000 0.000 0.008 0.000 0.992
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.1714 0.7779 0.000 0.092 0.000 0.000 0.908 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.3338 0.7237 0.012 0.000 0.800 0.008 0.004 0.176
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0146 0.9031 0.996 0.000 0.000 0.004 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 5 0.3834 0.6243 0.000 0.000 0.000 0.084 0.772 0.144
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.4093 0.3888 0.584 0.012 0.000 0.404 0.000 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.1267 0.8768 0.000 0.000 0.940 0.060 0.000 0.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.4256 0.5491 0.016 0.000 0.000 0.520 0.000 0.464
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.0000 0.8278 0.000 0.000 0.000 0.000 1.000 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9049 1.000 0.000 0.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 6 0.3939 0.5513 0.000 0.180 0.000 0.000 0.068 0.752
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 6 0.3863 0.5184 0.000 0.000 0.028 0.000 0.260 0.712
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.1321 0.8744 0.952 0.000 0.004 0.020 0.000 0.024
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#> F8DA4628-F7C4-4627-9374-45D10E349CBF 5 0.0000 0.8278 0.000 0.000 0.000 0.000 1.000 0.000
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.9109 0.000 1.000 0.000 0.000 0.000 0.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0146 0.9112 0.000 0.996 0.000 0.000 0.000 0.004
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 4 0.5267 0.3784 0.000 0.000 0.236 0.600 0.000 0.164
#> B232056E-59B2-4D05-983D-8740D6994A71 5 0.0000 0.8278 0.000 0.000 0.000 0.000 1.000 0.000
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 5 0.0000 0.8278 0.000 0.000 0.000 0.000 1.000 0.000
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0937 0.8892 0.000 0.960 0.000 0.000 0.040 0.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 5 0.1616 0.7985 0.000 0.020 0.048 0.000 0.932 0.000
#> B822A426-98C1-4976-9FC2-16347992AD78 3 0.2402 0.8258 0.000 0.000 0.868 0.120 0.000 0.012
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0146 0.9112 0.000 0.996 0.000 0.000 0.000 0.004
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.3647 0.3914 0.640 0.000 0.000 0.360 0.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.9109 0.000 1.000 0.000 0.000 0.000 0.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.0000 0.9078 0.000 0.000 1.000 0.000 0.000 0.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 5 0.0146 0.8267 0.000 0.004 0.000 0.000 0.996 0.000
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.0000 0.9078 0.000 0.000 1.000 0.000 0.000 0.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.0146 0.9112 0.000 0.996 0.000 0.000 0.000 0.004
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.3684 0.5549 0.000 0.000 0.000 0.628 0.000 0.372
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 6 0.3868 -0.0473 0.000 0.496 0.000 0.000 0.000 0.504
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.0937 0.8870 0.000 0.960 0.000 0.000 0.000 0.040
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.1387 0.8683 0.000 0.932 0.000 0.000 0.068 0.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.0405 0.9079 0.000 0.988 0.000 0.000 0.008 0.004
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 5 0.0000 0.8278 0.000 0.000 0.000 0.000 1.000 0.000
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.0458 0.8992 0.000 0.000 0.984 0.000 0.000 0.016
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 5 0.3515 0.4472 0.000 0.324 0.000 0.000 0.676 0.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.0146 0.9025 0.996 0.004 0.000 0.000 0.000 0.000
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 5 0.4496 0.6282 0.076 0.000 0.000 0.208 0.708 0.008
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 5 0.1820 0.8013 0.000 0.000 0.012 0.044 0.928 0.016
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.4179 0.5464 0.012 0.000 0.000 0.516 0.000 0.472
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 4 0.1141 0.4121 0.052 0.000 0.000 0.948 0.000 0.000
#> 197E34CA-EF43-495C-8AA4-858982333429 5 0.3961 0.2551 0.440 0.000 0.000 0.004 0.556 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 4 0.4179 0.5464 0.012 0.000 0.000 0.516 0.000 0.472
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 6 0.3830 0.3170 0.376 0.000 0.000 0.004 0.000 0.620
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 4 0.4107 -0.3042 0.000 0.000 0.452 0.540 0.004 0.004
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 3 0.3756 0.3187 0.000 0.400 0.600 0.000 0.000 0.000
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.9049 1.000 0.000 0.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 4 0.4179 0.5464 0.012 0.000 0.000 0.516 0.000 0.472
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0146 0.9112 0.000 0.996 0.000 0.000 0.000 0.004
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.4584 0.5467 0.036 0.000 0.000 0.512 0.000 0.452
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.1327 0.8676 0.000 0.936 0.000 0.000 0.064 0.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0260 0.9014 0.992 0.000 0.000 0.008 0.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0000 0.9049 1.000 0.000 0.000 0.000 0.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 3 0.0000 0.9078 0.000 0.000 1.000 0.000 0.000 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 6 0.3076 0.5184 0.000 0.240 0.000 0.000 0.000 0.760
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.0632 0.8996 0.000 0.976 0.000 0.000 0.000 0.024
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0865 0.8899 0.000 0.964 0.000 0.000 0.036 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 4 0.3578 0.5349 0.000 0.000 0.000 0.660 0.000 0.340
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.0146 0.8267 0.000 0.004 0.000 0.000 0.996 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 6 0.0363 0.5208 0.000 0.000 0.000 0.012 0.000 0.988
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.3647 0.4074 0.000 0.640 0.000 0.000 0.360 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.9078 0.000 0.000 1.000 0.000 0.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 5 0.5046 0.5414 0.000 0.256 0.124 0.000 0.620 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 4 0.5479 0.0267 0.000 0.000 0.276 0.592 0.016 0.116
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 5 0.4742 0.4989 0.000 0.000 0.328 0.004 0.612 0.056
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.2933 0.7074 0.000 0.796 0.000 0.000 0.200 0.004
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 5 0.0000 0.8278 0.000 0.000 0.000 0.000 1.000 0.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.0000 0.9078 0.000 0.000 1.000 0.000 0.000 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.9109 0.000 1.000 0.000 0.000 0.000 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.2841 0.7331 0.824 0.000 0.000 0.164 0.000 0.012
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0363 0.9024 0.000 0.000 0.988 0.012 0.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 4 0.5633 0.4896 0.196 0.000 0.000 0.532 0.000 0.272
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.9049 1.000 0.000 0.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.4331 0.5478 0.020 0.000 0.000 0.516 0.000 0.464
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.2416 0.7289 0.000 0.156 0.000 0.000 0.844 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.1453 0.8776 0.000 0.008 0.944 0.000 0.008 0.040
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.9109 0.000 1.000 0.000 0.000 0.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.9049 1.000 0.000 0.000 0.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.3864 0.4205 0.000 0.000 0.520 0.480 0.000 0.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.0000 0.8278 0.000 0.000 0.000 0.000 1.000 0.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.0000 0.8278 0.000 0.000 0.000 0.000 1.000 0.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.0000 0.8278 0.000 0.000 0.000 0.000 1.000 0.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.9078 0.000 0.000 1.000 0.000 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 6 0.5319 0.1494 0.420 0.000 0.000 0.104 0.000 0.476
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.4177 0.5471 0.012 0.000 0.000 0.520 0.000 0.468
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.5382 0.5233 0.148 0.000 0.000 0.564 0.000 0.288
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.3320 0.5396 0.016 0.000 0.000 0.772 0.000 0.212
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.0000 0.8278 0.000 0.000 0.000 0.000 1.000 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.9049 1.000 0.000 0.000 0.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.0000 0.8278 0.000 0.000 0.000 0.000 1.000 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0146 0.9031 0.996 0.000 0.000 0.004 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.3756 0.4369 0.000 0.644 0.352 0.000 0.004 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.2854 0.6871 0.000 0.000 0.208 0.000 0.792 0.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.2980 0.6950 0.800 0.000 0.192 0.008 0.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.9049 1.000 0.000 0.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.9078 0.000 0.000 1.000 0.000 0.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.9049 1.000 0.000 0.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.9109 0.000 1.000 0.000 0.000 0.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.9049 1.000 0.000 0.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.9078 0.000 0.000 1.000 0.000 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.9049 1.000 0.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 6 0.6034 0.1883 0.252 0.348 0.000 0.000 0.000 0.400
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.4853 0.4735 0.644 0.248 0.000 0.000 0.108 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9049 1.000 0.000 0.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.1341 0.8853 0.000 0.000 0.948 0.028 0.000 0.024
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.9078 0.000 0.000 1.000 0.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.9049 1.000 0.000 0.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.0000 0.8278 0.000 0.000 0.000 0.000 1.000 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 6 0.5462 -0.4743 0.012 0.000 0.000 0.440 0.084 0.464
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.9109 0.000 1.000 0.000 0.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.0000 0.8278 0.000 0.000 0.000 0.000 1.000 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.3774 0.3949 0.000 0.000 0.408 0.000 0.592 0.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.0000 0.8278 0.000 0.000 0.000 0.000 1.000 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.9078 0.000 0.000 1.000 0.000 0.000 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.3991 0.5445 0.004 0.000 0.000 0.524 0.000 0.472
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.9049 1.000 0.000 0.000 0.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.4258 0.5488 0.016 0.000 0.000 0.516 0.000 0.468
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.0000 0.8278 0.000 0.000 0.000 0.000 1.000 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.3868 -0.3943 0.000 0.000 0.496 0.504 0.000 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.1910 0.8265 0.000 0.892 0.000 0.000 0.108 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.1765 0.4965 0.000 0.000 0.000 0.904 0.000 0.096
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.3995 0.5389 0.004 0.000 0.000 0.516 0.000 0.480
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 5 0.3774 0.3485 0.000 0.408 0.000 0.000 0.592 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 17416 rows and 433 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 0.402 0.753 0.876 0.4792 0.503 0.503
#> 3 3 0.508 0.717 0.849 0.2800 0.780 0.590
#> 4 4 0.554 0.725 0.847 0.1024 0.938 0.827
#> 5 5 0.619 0.734 0.843 0.0859 0.910 0.721
#> 6 6 0.694 0.742 0.852 0.0817 0.905 0.652
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 1 0.0000 0.89225 1.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.7219 0.81582 0.200 0.800
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0000 0.80979 0.000 1.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.89225 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 2 0.9491 0.60408 0.368 0.632
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 2 0.7219 0.81582 0.200 0.800
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 2 0.7219 0.81582 0.200 0.800
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.0000 0.80979 0.000 1.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.80979 0.000 1.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.89225 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 1 0.7815 0.67928 0.768 0.232
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.6801 0.81949 0.180 0.820
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.80979 0.000 1.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 2 0.7219 0.81582 0.200 0.800
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.89225 1.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.9993 -0.20592 0.516 0.484
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.6801 0.69189 0.820 0.180
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.80979 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 2 0.9833 0.48324 0.424 0.576
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.89225 1.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.2603 0.81703 0.044 0.956
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.9993 -0.21949 0.516 0.484
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.7219 0.81582 0.200 0.800
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.89225 1.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.80979 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.89225 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.3114 0.81830 0.056 0.944
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.7883 0.78839 0.236 0.764
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.1184 0.88025 0.984 0.016
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.5294 0.82117 0.120 0.880
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 2 0.7219 0.81582 0.200 0.800
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.89225 1.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.89225 1.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 2 0.7219 0.81582 0.200 0.800
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.89225 1.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.7219 0.81582 0.200 0.800
#> 333F9855-9462-46B8-87C8-E9B01572C101 2 0.7219 0.81582 0.200 0.800
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 2 0.8909 0.70341 0.308 0.692
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.89225 1.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.89225 1.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.80979 0.000 1.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.9393 0.33120 0.356 0.644
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.89225 1.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.89225 1.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.89225 1.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.89225 1.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.7219 0.81582 0.200 0.800
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.9988 -0.09984 0.480 0.520
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.80979 0.000 1.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.89225 1.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 1 0.9775 0.41085 0.588 0.412
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.89225 1.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.80979 0.000 1.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.9686 0.52653 0.396 0.604
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 2 0.7139 0.81716 0.196 0.804
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 1 0.8608 0.54194 0.716 0.284
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.2778 0.85044 0.952 0.048
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.89225 1.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.1633 0.87347 0.976 0.024
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 1 0.7674 0.68652 0.776 0.224
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 2 0.7602 0.80216 0.220 0.780
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.89225 1.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.80979 0.000 1.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.0000 0.80979 0.000 1.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 1.0000 -0.16047 0.496 0.504
#> 481EF2B5-E610-4F19-80F2-22327EE33378 2 0.7219 0.81582 0.200 0.800
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 1 0.0672 0.88631 0.992 0.008
#> 164DD212-0839-4644-8FEE-E6A07A60803B 2 0.7219 0.81582 0.200 0.800
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.0000 0.89225 1.000 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 2 0.9954 0.37919 0.460 0.540
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0376 0.80890 0.004 0.996
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 2 0.7219 0.81582 0.200 0.800
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 2 0.7376 0.81098 0.208 0.792
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0000 0.89225 1.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.80979 0.000 1.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 2 0.7139 0.81716 0.196 0.804
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.9460 0.58475 0.364 0.636
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.9866 0.00208 0.568 0.432
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0000 0.89225 1.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0000 0.89225 1.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 1 0.0376 0.88930 0.996 0.004
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0376 0.80908 0.004 0.996
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 2 0.7376 0.81089 0.208 0.792
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0000 0.89225 1.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 2 0.7139 0.81716 0.196 0.804
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0000 0.89225 1.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 2 0.0000 0.80979 0.000 1.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 2 0.7219 0.81582 0.200 0.800
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0000 0.89225 1.000 0.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.89225 1.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0000 0.80979 0.000 1.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 2 0.7219 0.81582 0.200 0.800
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 2 0.7453 0.80814 0.212 0.788
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.3114 0.84509 0.944 0.056
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.9996 -0.22044 0.512 0.488
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.0000 0.89225 1.000 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.0000 0.89225 1.000 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.0000 0.80979 0.000 1.000
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 2 0.7528 0.80521 0.216 0.784
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.9129 0.41669 0.328 0.672
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.0000 0.89225 1.000 0.000
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.0000 0.89225 1.000 0.000
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 2 0.7139 0.81716 0.196 0.804
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 2 0.7299 0.81363 0.204 0.796
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 1 0.7453 0.69182 0.788 0.212
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 2 0.6801 0.81955 0.180 0.820
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 2 0.7139 0.81716 0.196 0.804
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 2 0.7139 0.81716 0.196 0.804
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.0000 0.89225 1.000 0.000
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0000 0.89225 1.000 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 2 0.7139 0.81716 0.196 0.804
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.9993 -0.20592 0.516 0.484
#> B54317C9-8704-42A6-BE96-E12855874596 2 0.0000 0.80979 0.000 1.000
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.0000 0.89225 1.000 0.000
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 1 0.7745 0.68338 0.772 0.228
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.0000 0.89225 1.000 0.000
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 2 0.9850 0.47241 0.428 0.572
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 1 0.0000 0.89225 1.000 0.000
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 1 0.0000 0.89225 1.000 0.000
#> A6177818-114B-437B-9928-A6747A788109 1 0.0000 0.89225 1.000 0.000
#> E7064800-48FD-492A-A074-84A0B2452445 2 0.9087 0.67924 0.324 0.676
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.0000 0.80979 0.000 1.000
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0000 0.89225 1.000 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.0000 0.80979 0.000 1.000
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 2 0.7139 0.81716 0.196 0.804
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 2 0.8144 0.77246 0.252 0.748
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 1 0.0000 0.89225 1.000 0.000
#> EB235E9A-E453-4108-AD4F-31260F4340A6 2 0.7219 0.81582 0.200 0.800
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 1 0.0000 0.89225 1.000 0.000
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 2 0.6801 0.81953 0.180 0.820
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.0000 0.89225 1.000 0.000
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 1 0.9833 0.03509 0.576 0.424
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 1 0.0000 0.89225 1.000 0.000
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 2 0.7139 0.81716 0.196 0.804
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 2 0.7219 0.81582 0.200 0.800
#> 94128D59-A5BB-4460-A671-5E1571726C4D 2 0.7299 0.81359 0.204 0.796
#> 12BE2E3A-1B57-4EEE-B130-E70B6BE5A96B 1 0.0000 0.89225 1.000 0.000
#> 66600553-0E68-405C-81A3-4064DA18737D 2 0.0000 0.80979 0.000 1.000
#> C65B6272-DD2B-4075-963B-746F8904B395 2 0.0000 0.80979 0.000 1.000
#> EC7F0653-0AC0-47AF-A6A2-0475E149065F 2 0.9000 0.68895 0.316 0.684
#> 3EEB805B-3DC3-47AD-9D83-672D39333B8F 2 0.7219 0.81582 0.200 0.800
#> ECC99215-F4FB-40D3-A44D-549D681F0CAD 2 0.7139 0.81716 0.196 0.804
#> ED242FAE-14D1-4804-9C96-281197D485A4 2 0.7745 0.79634 0.228 0.772
#> 3BB9FC05-3230-4C65-9259-ED8FE65AD473 1 0.0000 0.89225 1.000 0.000
#> 57C51F55-9F3A-44F0-99DB-EE3557C04373 2 0.9732 0.53348 0.404 0.596
#> 90F8EB31-A33C-4434-90FC-B6721774D68C 2 0.7219 0.81582 0.200 0.800
#> 6516F0BC-00E2-40E6-9B9D-420F0DA30FA5 1 0.0000 0.89225 1.000 0.000
#> 0CCE788F-74E5-4562-82EA-EB39912298E4 2 0.0000 0.80979 0.000 1.000
#> 1B2E1531-7C1F-4BAF-BC45-42425B7B8891 2 0.0000 0.80979 0.000 1.000
#> 1CA3C03E-20A1-401E-BE97-12D0E506AFB8 1 0.9993 -0.20592 0.516 0.484
#> C3C5472C-21A7-4F22-AEE7-514902873770 2 0.0000 0.80979 0.000 1.000
#> 63351C27-1DF5-45FD-A08F-6AD2B2AF8BBF 1 0.0000 0.89225 1.000 0.000
#> E6982FF2-C754-4998-8C38-83CAA07151B4 1 0.0000 0.89225 1.000 0.000
#> 2F3FD524-6F59-46C0-99FA-6CAA0C423061 2 0.8955 0.69924 0.312 0.688
#> 1956427F-FBE0-46C9-BCB2-28CFFB4E3169 2 0.7139 0.81716 0.196 0.804
#> F12BD7C5-699C-4F80-B02C-CFA9D8BBD99C 1 0.6247 0.71834 0.844 0.156
#> ED8A6EE1-399E-444C-BEA5-1B32AAF46334 1 0.9833 0.38847 0.576 0.424
#> F0E550CA-CB04-4202-9AEA-EAE1C295EB6E 1 0.0000 0.89225 1.000 0.000
#> 80F493DC-D202-4FB0-803B-3A4FA2C85824 2 0.7139 0.81716 0.196 0.804
#> 54539B90-4EEC-4579-89F4-5EFC4FB4CC51 2 0.8813 0.71486 0.300 0.700
#> BB8A3F9E-830A-45E2-A1EC-50020C63A7C9 2 0.0000 0.80979 0.000 1.000
#> B387E79E-742F-418B-8AAB-0C721218A7D2 2 0.0000 0.80979 0.000 1.000
#> 69D6650D-0188-4FA7-B934-3FC0D36F9CAA 1 0.9909 0.27821 0.556 0.444
#> 910A82C8-4FE3-42E3-AF3E-FB94908018B2 1 0.0000 0.89225 1.000 0.000
#> 4EF67F08-BF9C-42F3-938B-CDED571BCFF4 1 0.8861 0.60714 0.696 0.304
#> 285269A3-BAD7-4958-BE76-66521529881D 2 0.0000 0.80979 0.000 1.000
#> 1FF8E3DD-9E9D-4E23-882E-EA767E9F93A2 1 0.7299 0.69601 0.796 0.204
#> 919FFB8D-D3B1-470C-8E2F-045104ACED68 2 0.6148 0.82102 0.152 0.848
#> 10974801-C0A4-4D01-8E2F-F82490B6AA72 2 0.0000 0.80979 0.000 1.000
#> 357E9DB4-908A-4C67-BB04-4CE59579D3AA 1 0.0000 0.89225 1.000 0.000
#> 991BFA60-A438-4FC6-8500-3468784AEA6F 1 0.0000 0.89225 1.000 0.000
#> ADEF764D-7434-45FD-AFB6-58E81FE2D70F 2 0.9686 0.54726 0.396 0.604
#> 52B1C8A2-40C3-47F1-83FA-6B746652E5C6 2 0.7139 0.81716 0.196 0.804
#> 10E7FFA0-F8BE-43AB-B81C-D4C9E8D5423B 2 0.0672 0.80821 0.008 0.992
#> 89FB0BFA-6EF2-4915-BA5D-AE6DCBF464A9 1 0.0000 0.89225 1.000 0.000
#> 7FAB3A0E-7932-4B51-A6A6-22F2AA46290C 2 0.7139 0.81716 0.196 0.804
#> 816CFF9B-C10E-4265-844E-7D02F46F7EE5 2 0.7453 0.79618 0.212 0.788
#> 0842E242-D75E-427C-A2C1-6B3310A83A04 1 0.0000 0.89225 1.000 0.000
#> FED748B7-70A5-41CC-94BE-8799D115932C 2 0.7139 0.81716 0.196 0.804
#> C315C9E4-6A99-4169-AFC7-8CF13B656F51 2 0.0000 0.80979 0.000 1.000
#> 441495A8-8EFE-4259-8275-4061546E08E8 1 0.0000 0.89225 1.000 0.000
#> 4F64614A-FDDC-4728-8A72-22FCCD04F8F8 1 0.0000 0.89225 1.000 0.000
#> D5CBD424-4EA8-4A2E-889E-64EB7D20CD1F 1 0.0000 0.89225 1.000 0.000
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#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 2 0.7139 0.81716 0.196 0.804
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.80979 0.000 1.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 2 0.7219 0.81582 0.200 0.800
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 2 0.9580 0.57350 0.380 0.620
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 1 0.7139 0.68909 0.804 0.196
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.7219 0.81582 0.200 0.800
#> 8DBE419E-A360-4493-AC3B-C145887D9237 2 0.7139 0.81716 0.196 0.804
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0376 0.81014 0.004 0.996
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.89225 1.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.7139 0.81716 0.196 0.804
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.89225 1.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.89225 1.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.89225 1.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.80979 0.000 1.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.9815 0.04189 0.580 0.420
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.8443 0.65215 0.272 0.728
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.89225 1.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 2 0.7219 0.81582 0.200 0.800
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.7219 0.81582 0.200 0.800
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.6887 0.81907 0.184 0.816
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.7219 0.81582 0.200 0.800
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.7139 0.81716 0.196 0.804
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0000 0.89225 1.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.89225 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 2 0.9552 0.59013 0.376 0.624
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.89225 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.80979 0.000 1.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.89225 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.80979 0.000 1.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.89225 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.80979 0.000 1.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0000 0.80979 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.9358 0.28297 0.648 0.352
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.89225 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.7056 0.81793 0.192 0.808
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.89225 1.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.80979 0.000 1.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.89225 1.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.1184 0.81302 0.016 0.984
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.89225 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0000 0.89225 1.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0000 0.89225 1.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.89225 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.0000 0.80979 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.7139 0.81716 0.196 0.804
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.89225 1.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.80979 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.89225 1.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.9998 -0.14218 0.492 0.508
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.80979 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.9460 0.60965 0.364 0.636
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.4431 0.82054 0.092 0.908
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.7139 0.81716 0.196 0.804
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.89225 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.89225 1.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.89225 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.80979 0.000 1.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 2 0.7219 0.81582 0.200 0.800
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 1 0.8555 0.63579 0.720 0.280
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 2 0.7219 0.81582 0.200 0.800
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.89225 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.9896 0.19289 0.440 0.560
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 1 0.4346 0.71894 0.816 0.184 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.5431 0.75584 0.284 0.000 0.716
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.4291 0.73299 0.000 0.820 0.180
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.91167 1.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 3 0.5948 0.66923 0.360 0.000 0.640
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.5431 0.75584 0.284 0.000 0.716
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.5431 0.75584 0.284 0.000 0.716
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.5623 0.54528 0.004 0.280 0.716
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.83644 0.000 1.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.91167 1.000 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.4887 0.67185 0.228 0.772 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 3 0.6053 0.76215 0.260 0.020 0.720
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.4291 0.73299 0.000 0.820 0.180
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.5431 0.75584 0.284 0.000 0.716
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.91167 1.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 3 0.6267 0.49546 0.452 0.000 0.548
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.4842 0.58732 0.776 0.000 0.224
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.83644 0.000 1.000 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.6783 0.60322 0.396 0.016 0.588
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.91167 1.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 3 0.7221 0.70796 0.136 0.148 0.716
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.6235 0.53583 0.436 0.000 0.564
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.1411 0.69638 0.036 0.000 0.964
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.91167 1.000 0.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0892 0.83199 0.000 0.980 0.020
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.91167 1.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 3 0.7223 0.71168 0.140 0.144 0.716
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 3 0.5560 0.74262 0.300 0.000 0.700
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.2261 0.83883 0.932 0.000 0.068
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 3 0.7031 0.75041 0.196 0.088 0.716
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.5431 0.75584 0.284 0.000 0.716
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.91167 1.000 0.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.91167 1.000 0.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.5431 0.75584 0.284 0.000 0.716
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.91167 1.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.5884 0.75908 0.272 0.012 0.716
#> 333F9855-9462-46B8-87C8-E9B01572C101 3 0.5431 0.75584 0.284 0.000 0.716
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 3 0.5882 0.68826 0.348 0.000 0.652
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.91167 1.000 0.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.91167 1.000 0.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.83644 0.000 1.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0237 0.83568 0.000 0.996 0.004
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.91167 1.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.91167 1.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.91167 1.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.91167 1.000 0.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0000 0.67464 0.000 0.000 1.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0237 0.83541 0.004 0.996 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.4178 0.73966 0.000 0.828 0.172
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.91167 1.000 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.8688 0.42459 0.196 0.596 0.208
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.91167 1.000 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.83644 0.000 1.000 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 3 0.8280 0.63168 0.344 0.092 0.564
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.67464 0.000 0.000 1.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 1 0.9787 -0.19091 0.428 0.252 0.320
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0747 0.89609 0.984 0.000 0.016
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.91167 1.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.3116 0.80247 0.892 0.108 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.83644 0.000 1.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.5465 0.75309 0.288 0.000 0.712
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.91167 1.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.83644 0.000 1.000 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 3 0.5363 0.54652 0.000 0.276 0.724
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.83644 0.000 1.000 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0000 0.67464 0.000 0.000 1.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 1 0.0747 0.89739 0.984 0.016 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.4555 0.76538 0.200 0.000 0.800
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.0000 0.91167 1.000 0.000 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 1 0.6308 -0.33334 0.508 0.000 0.492
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.83644 0.000 1.000 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.0000 0.67464 0.000 0.000 1.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.5621 0.73569 0.308 0.000 0.692
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0000 0.91167 1.000 0.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 3 0.6513 0.18212 0.004 0.476 0.520
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.67464 0.000 0.000 1.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 3 0.9674 0.48501 0.336 0.224 0.440
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.6305 -0.31978 0.516 0.000 0.484
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0000 0.91167 1.000 0.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0000 0.91167 1.000 0.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 1 0.0237 0.90763 0.996 0.004 0.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.83644 0.000 1.000 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 3 0.5431 0.75584 0.284 0.000 0.716
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0000 0.91167 1.000 0.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0000 0.67464 0.000 0.000 1.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0000 0.91167 1.000 0.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.6204 -0.24161 0.000 0.424 0.576
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 3 0.5431 0.75584 0.284 0.000 0.716
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0000 0.91167 1.000 0.000 0.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.91167 1.000 0.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0000 0.83644 0.000 1.000 0.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 3 0.5431 0.75584 0.284 0.000 0.716
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 3 0.5465 0.75302 0.288 0.000 0.712
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.3752 0.72820 0.856 0.000 0.144
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 3 0.6267 0.49546 0.452 0.000 0.548
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.0000 0.91167 1.000 0.000 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.0000 0.91167 1.000 0.000 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.1129 0.83140 0.004 0.976 0.020
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 3 0.5465 0.75291 0.288 0.000 0.712
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 3 0.9357 0.27737 0.168 0.392 0.440
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.0000 0.91167 1.000 0.000 0.000
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.0000 0.91167 1.000 0.000 0.000
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.0000 0.67464 0.000 0.000 1.000
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 3 0.5465 0.75320 0.288 0.000 0.712
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.7396 0.12889 0.480 0.488 0.032
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 2 0.8482 0.43747 0.184 0.616 0.200
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.0000 0.67464 0.000 0.000 1.000
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 3 0.5431 0.75584 0.284 0.000 0.716
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.0000 0.91167 1.000 0.000 0.000
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0000 0.91167 1.000 0.000 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.0000 0.67464 0.000 0.000 1.000
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 3 0.6267 0.49546 0.452 0.000 0.548
#> B54317C9-8704-42A6-BE96-E12855874596 3 0.5623 0.54528 0.004 0.280 0.716
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.0000 0.91167 1.000 0.000 0.000
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#> 3D6CE155-4E02-4739-A8C9-30981EA9B0B1 1 0.0000 0.91167 1.000 0.000 0.000
#> 0A3AB174-07D0-4396-A6C5-9ECEEBE8651C 1 0.0000 0.91167 1.000 0.000 0.000
#> 86ACC3DD-A9E8-4FDA-ACF9-33175CE06629 1 0.2537 0.81935 0.920 0.000 0.080
#> A3150223-5399-4CC6-90A7-6046F39FAC3E 2 0.9151 0.36662 0.228 0.544 0.228
#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 1 0.0000 0.91167 1.000 0.000 0.000
#> 99D8A9E2-773C-4142-9A93-5F749961F712 1 0.0000 0.91167 1.000 0.000 0.000
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 3 0.5696 0.68631 0.064 0.136 0.800
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 3 0.5465 0.75302 0.288 0.000 0.712
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 3 0.0000 0.67464 0.000 0.000 1.000
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 3 0.5431 0.75584 0.284 0.000 0.716
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 2 0.2878 0.79961 0.000 0.904 0.096
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 1 0.5560 0.45639 0.700 0.300 0.000
#> 14003AA2-81B6-4143-98AD-124903BAE56B 1 0.0000 0.91167 1.000 0.000 0.000
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.0000 0.91167 1.000 0.000 0.000
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 1 0.6045 0.28629 0.620 0.380 0.000
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 1 0.4399 0.71363 0.812 0.188 0.000
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.0000 0.83644 0.000 1.000 0.000
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 3 0.5623 0.54528 0.004 0.280 0.716
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 3 0.5623 0.54528 0.004 0.280 0.716
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.0000 0.91167 1.000 0.000 0.000
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0000 0.91167 1.000 0.000 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 2 0.4521 0.73046 0.004 0.816 0.180
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.0000 0.67464 0.000 0.000 1.000
#> 420503AA-3799-4816-BEEC-0B4D05988D38 2 0.4291 0.73299 0.000 0.820 0.180
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0000 0.91167 1.000 0.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.91167 1.000 0.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.0000 0.83644 0.000 1.000 0.000
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0000 0.91167 1.000 0.000 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0000 0.91167 1.000 0.000 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 3 0.5431 0.75584 0.284 0.000 0.716
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 1 0.4062 0.70199 0.836 0.000 0.164
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.8392 0.44897 0.200 0.624 0.176
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.83644 0.000 1.000 0.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.5443 0.56227 0.004 0.736 0.260
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 3 0.5431 0.75584 0.284 0.000 0.716
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.2682 0.79494 0.076 0.920 0.004
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.4521 0.73046 0.004 0.816 0.180
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0000 0.83644 0.000 1.000 0.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 3 0.5431 0.53900 0.000 0.284 0.716
#> B822A426-98C1-4976-9FC2-16347992AD78 3 0.5431 0.75584 0.284 0.000 0.716
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.3482 0.76182 0.128 0.872 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0000 0.91167 1.000 0.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 3 0.6308 0.13502 0.000 0.492 0.508
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.0000 0.67464 0.000 0.000 1.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.0592 0.83391 0.000 0.988 0.012
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.4605 0.39608 0.000 0.204 0.796
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 1 0.0000 0.91167 1.000 0.000 0.000
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 3 0.6111 0.61333 0.396 0.000 0.604
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 3 0.8379 0.61301 0.352 0.096 0.552
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.3116 0.78666 0.892 0.108 0.000
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0000 0.83644 0.000 1.000 0.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 1 0.1905 0.87731 0.956 0.028 0.016
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 3 0.5722 0.52852 0.004 0.292 0.704
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.5431 0.75584 0.284 0.000 0.716
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.3377 0.80065 0.012 0.896 0.092
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.6026 0.10263 0.624 0.000 0.376
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 3 0.6045 0.63809 0.380 0.000 0.620
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 3 0.5884 0.55848 0.012 0.272 0.716
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.91167 1.000 0.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 3 0.6252 0.51434 0.444 0.000 0.556
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.7764 0.37418 0.604 0.328 0.068
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.91167 1.000 0.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.0000 0.91167 1.000 0.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 3 0.5431 0.75584 0.284 0.000 0.716
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 3 0.3879 0.61765 0.000 0.152 0.848
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.91167 1.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.91167 1.000 0.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0237 0.83568 0.000 0.996 0.004
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.91167 1.000 0.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.5621 0.47147 0.000 0.692 0.308
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.1964 0.85366 0.944 0.000 0.056
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.1753 0.86280 0.952 0.000 0.048
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 3 0.4555 0.72322 0.200 0.000 0.800
#> FAA38111-F046-4ACD-B787-764A17EAF548 3 0.9072 0.55499 0.260 0.192 0.548
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.7217 0.63863 0.152 0.716 0.132
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.83644 0.000 1.000 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 3 0.5431 0.75584 0.284 0.000 0.716
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.83644 0.000 1.000 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 3 0.8578 0.50652 0.396 0.100 0.504
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.83644 0.000 1.000 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.67464 0.000 0.000 1.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.3412 0.78306 0.000 0.876 0.124
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.5431 0.75584 0.284 0.000 0.716
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 3 0.7758 0.70739 0.280 0.084 0.636
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 1 0.8111 0.29964 0.624 0.112 0.264
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 3 0.9198 0.54139 0.200 0.268 0.532
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.4555 0.76538 0.200 0.000 0.800
#> A6C06064-8194-4DFB-9262-A30E63DB2514 3 0.6286 0.21213 0.000 0.464 0.536
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.91167 1.000 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.67464 0.000 0.000 1.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.91167 1.000 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.91167 1.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.91167 1.000 0.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.83644 0.000 1.000 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.6822 0.41557 0.480 0.012 0.508
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 3 0.8838 0.59869 0.200 0.220 0.580
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.91167 1.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.5431 0.75584 0.284 0.000 0.716
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.8437 0.44196 0.200 0.620 0.180
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.8263 0.47315 0.188 0.636 0.176
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.8392 0.44871 0.200 0.624 0.176
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.67464 0.000 0.000 1.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0000 0.91167 1.000 0.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.91167 1.000 0.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 3 0.5988 0.65969 0.368 0.000 0.632
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0424 0.90441 0.992 0.000 0.008
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.4521 0.73046 0.004 0.816 0.180
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.91167 1.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0592 0.83391 0.000 0.988 0.012
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.91167 1.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.3116 0.79233 0.000 0.892 0.108
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.4504 0.72072 0.000 0.804 0.196
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.4605 0.62854 0.796 0.000 0.204
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.91167 1.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.4682 0.76392 0.192 0.004 0.804
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.91167 1.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.83644 0.000 1.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.91167 1.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.67464 0.000 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.91167 1.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0424 0.90511 0.992 0.008 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0000 0.91167 1.000 0.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.91167 1.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.4733 0.60895 0.004 0.196 0.800
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.67464 0.000 0.000 1.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.91167 1.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0424 0.83483 0.000 0.992 0.008
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0747 0.89852 0.984 0.016 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.9753 -0.15350 0.228 0.400 0.372
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0237 0.83568 0.004 0.996 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 3 0.5926 0.67520 0.356 0.000 0.644
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.3973 0.77427 0.088 0.880 0.032
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.67464 0.000 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.91167 1.000 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.91167 1.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.91167 1.000 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 3 0.5706 0.48332 0.000 0.320 0.680
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.5431 0.75584 0.284 0.000 0.716
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.6083 0.69233 0.168 0.772 0.060
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 3 0.5431 0.75584 0.284 0.000 0.716
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.91167 1.000 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.2066 0.80696 0.060 0.940 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 1 0.6851 0.31685 0.568 0.300 0.000 0.132
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.3444 0.80800 0.184 0.000 0.000 0.816
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.4406 0.56991 0.000 0.700 0.000 0.300
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.90063 1.000 0.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.4661 0.67523 0.348 0.000 0.000 0.652
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.3486 0.80776 0.188 0.000 0.000 0.812
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.3400 0.80826 0.180 0.000 0.000 0.820
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 4 0.3626 0.65928 0.004 0.184 0.000 0.812
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0592 0.75306 0.000 0.984 0.000 0.016
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.1211 0.88692 0.960 0.000 0.000 0.040
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.3444 0.63749 0.184 0.816 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.2342 0.78038 0.080 0.008 0.000 0.912
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.4382 0.57409 0.000 0.704 0.000 0.296
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.3444 0.80800 0.184 0.000 0.000 0.816
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.1389 0.88195 0.952 0.000 0.000 0.048
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.4961 0.48487 0.448 0.000 0.000 0.552
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.4454 0.57502 0.692 0.000 0.000 0.308
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0707 0.75361 0.000 0.980 0.000 0.020
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.5228 0.69156 0.268 0.036 0.000 0.696
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.90063 1.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 4 0.4070 0.71836 0.044 0.132 0.000 0.824
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 4 0.4804 0.54490 0.384 0.000 0.000 0.616
#> C1323790-6C24-4E54-A266-AE66588C1DD5 4 0.4332 0.71178 0.040 0.000 0.160 0.800
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.1211 0.88692 0.960 0.000 0.000 0.040
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.1211 0.75131 0.000 0.960 0.000 0.040
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.90063 1.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.3818 0.73525 0.048 0.108 0.000 0.844
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#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 4 0.3444 0.80800 0.184 0.000 0.000 0.816
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 4 0.3570 0.66599 0.000 0.092 0.048 0.860
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.90063 1.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.1867 0.87479 0.928 0.000 0.000 0.072
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.2011 0.73155 0.000 0.920 0.000 0.080
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.1557 0.88196 0.944 0.000 0.000 0.056
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.4103 0.57063 0.000 0.744 0.000 0.256
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.1637 0.85425 0.940 0.000 0.000 0.060
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.1389 0.86457 0.952 0.000 0.000 0.048
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 4 0.6690 0.65900 0.192 0.000 0.188 0.620
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.4149 0.63428 0.168 0.028 0.000 0.804
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.5783 0.62514 0.120 0.708 0.000 0.172
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.75466 0.000 1.000 0.000 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 4 0.2647 0.79508 0.120 0.000 0.000 0.880
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0592 0.75306 0.000 0.984 0.000 0.016
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.5898 0.49351 0.316 0.056 0.000 0.628
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.75466 0.000 1.000 0.000 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.95347 0.000 0.000 1.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.3919 0.69595 0.000 0.840 0.056 0.104
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 4 0.3569 0.80644 0.196 0.000 0.000 0.804
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 4 0.3649 0.75953 0.204 0.000 0.000 0.796
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 1 0.6946 0.30176 0.588 0.200 0.000 0.212
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 4 0.7105 0.53581 0.184 0.256 0.000 0.560
#> 8DBE419E-A360-4493-AC3B-C145887D9237 4 0.3400 0.80797 0.180 0.000 0.000 0.820
#> A6C06064-8194-4DFB-9262-A30E63DB2514 4 0.4992 0.02225 0.000 0.476 0.000 0.524
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.90063 1.000 0.000 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 4 0.3610 0.66318 0.000 0.000 0.200 0.800
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.90063 1.000 0.000 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.90063 1.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.1389 0.88565 0.952 0.000 0.000 0.048
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.75466 0.000 1.000 0.000 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.5750 0.40263 0.440 0.028 0.000 0.532
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 4 0.4898 0.60482 0.104 0.116 0.000 0.780
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.1389 0.88195 0.952 0.000 0.000 0.048
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 4 0.3444 0.80800 0.184 0.000 0.000 0.816
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.7336 0.24210 0.196 0.520 0.000 0.284
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.7484 0.34101 0.160 0.540 0.012 0.288
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.7309 0.25313 0.200 0.528 0.000 0.272
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.95347 0.000 0.000 1.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0469 0.89830 0.988 0.000 0.000 0.012
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.1211 0.88692 0.960 0.000 0.000 0.040
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.4679 0.67194 0.352 0.000 0.000 0.648
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0336 0.89683 0.992 0.000 0.000 0.008
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.4431 0.56619 0.000 0.696 0.000 0.304
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.1302 0.88440 0.956 0.000 0.000 0.044
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.1792 0.74256 0.000 0.932 0.000 0.068
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.90063 1.000 0.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.4454 0.63314 0.000 0.692 0.000 0.308
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.5343 0.51809 0.000 0.656 0.028 0.316
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.4661 0.41564 0.652 0.000 0.000 0.348
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.90063 1.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 4 0.3585 0.80696 0.164 0.004 0.004 0.828
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.1389 0.88331 0.952 0.000 0.000 0.048
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.1637 0.74000 0.000 0.940 0.000 0.060
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.90063 1.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.95347 0.000 0.000 1.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.1302 0.88440 0.956 0.000 0.000 0.044
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.3300 0.79789 0.848 0.008 0.000 0.144
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0000 0.90063 1.000 0.000 0.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.90063 1.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 4 0.2814 0.68826 0.000 0.132 0.000 0.868
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.95347 0.000 0.000 1.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.1389 0.88195 0.952 0.000 0.000 0.048
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0707 0.75292 0.000 0.980 0.000 0.020
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.2494 0.86542 0.916 0.036 0.000 0.048
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.7613 0.22795 0.212 0.448 0.000 0.340
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0804 0.75472 0.008 0.980 0.000 0.012
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.4661 0.67439 0.348 0.000 0.000 0.652
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.3972 0.71023 0.080 0.840 0.000 0.080
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 4 0.3444 0.67546 0.000 0.000 0.184 0.816
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.1211 0.88692 0.960 0.000 0.000 0.040
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.1389 0.88195 0.952 0.000 0.000 0.048
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.1211 0.88692 0.960 0.000 0.000 0.040
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 4 0.4134 0.55585 0.000 0.260 0.000 0.740
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.3486 0.80776 0.188 0.000 0.000 0.812
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.4405 0.65425 0.152 0.800 0.000 0.048
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.3123 0.80474 0.156 0.000 0.000 0.844
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.1211 0.88692 0.960 0.000 0.000 0.040
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.3370 0.71818 0.048 0.872 0.000 0.080
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.2488 0.6253 0.124 0.872 0.000 0.004 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.2930 0.8027 0.164 0.000 0.000 0.832 0.004
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.0162 0.8178 0.000 0.000 0.000 0.004 0.996
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0162 0.9067 0.996 0.000 0.000 0.004 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.3983 0.7008 0.340 0.000 0.000 0.660 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.2929 0.8017 0.180 0.000 0.000 0.820 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.2813 0.8034 0.168 0.000 0.000 0.832 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 4 0.3419 0.7101 0.016 0.000 0.000 0.804 0.180
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.0404 0.8185 0.000 0.012 0.000 0.000 0.988
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.3435 0.8090 0.820 0.020 0.000 0.156 0.004
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.2690 0.6920 0.000 0.844 0.000 0.000 0.156
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.1498 0.7489 0.016 0.024 0.000 0.952 0.008
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.0162 0.8178 0.000 0.000 0.000 0.004 0.996
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.2970 0.8029 0.168 0.000 0.000 0.828 0.004
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.1282 0.8953 0.952 0.044 0.000 0.004 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.4182 0.6122 0.400 0.000 0.000 0.600 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.5122 0.4077 0.556 0.032 0.000 0.408 0.004
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.0162 0.8183 0.000 0.004 0.000 0.000 0.996
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.6236 0.4744 0.148 0.284 0.000 0.560 0.008
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.9073 1.000 0.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 4 0.3368 0.7308 0.024 0.000 0.000 0.820 0.156
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 4 0.4991 0.6745 0.320 0.040 0.000 0.636 0.004
#> C1323790-6C24-4E54-A266-AE66588C1DD5 4 0.3478 0.7328 0.032 0.000 0.136 0.828 0.004
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.3394 0.8130 0.824 0.020 0.000 0.152 0.004
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.0162 0.8183 0.000 0.004 0.000 0.000 0.996
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9073 1.000 0.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.3948 0.7636 0.056 0.024 0.000 0.824 0.096
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.3675 0.7926 0.216 0.004 0.000 0.772 0.008
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.2329 0.7789 0.876 0.000 0.000 0.124 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 4 0.3934 0.7906 0.124 0.000 0.000 0.800 0.076
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.3074 0.7987 0.196 0.000 0.000 0.804 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0324 0.9064 0.992 0.004 0.000 0.004 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.3435 0.8090 0.820 0.020 0.000 0.156 0.004
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.2890 0.8023 0.160 0.000 0.000 0.836 0.004
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0162 0.9075 0.996 0.004 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 4 0.2930 0.8024 0.164 0.000 0.000 0.832 0.004
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.3219 0.8028 0.136 0.020 0.000 0.840 0.004
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.3242 0.7933 0.216 0.000 0.000 0.784 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.3435 0.8090 0.820 0.020 0.000 0.156 0.004
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.3394 0.8126 0.824 0.020 0.000 0.152 0.004
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 5 0.3274 0.6909 0.000 0.220 0.000 0.000 0.780
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.2329 0.7081 0.000 0.876 0.000 0.000 0.124
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.3340 0.8110 0.824 0.016 0.000 0.156 0.004
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0162 0.9075 0.996 0.004 0.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0162 0.9067 0.996 0.000 0.000 0.004 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0613 0.9047 0.984 0.008 0.000 0.004 0.004
#> 9BDFB73A-076E-418B-B84E-381341688002 4 0.3039 0.6871 0.000 0.000 0.192 0.808 0.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.4045 0.3724 0.000 0.644 0.000 0.000 0.356
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.0162 0.8178 0.000 0.000 0.000 0.004 0.996
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.3183 0.8132 0.828 0.016 0.000 0.156 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0771 0.7035 0.000 0.976 0.000 0.004 0.020
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0162 0.9067 0.996 0.000 0.000 0.004 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 5 0.2773 0.7246 0.000 0.164 0.000 0.000 0.836
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.5725 0.0446 0.044 0.516 0.000 0.420 0.020
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.9364 0.000 0.000 1.000 0.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.2953 0.6488 0.100 0.868 0.000 0.004 0.028
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0162 0.9067 0.996 0.000 0.000 0.004 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.9073 1.000 0.000 0.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.4434 0.0137 0.460 0.536 0.000 0.004 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.3424 0.5598 0.000 0.760 0.000 0.000 0.240
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 4 0.3210 0.7938 0.212 0.000 0.000 0.788 0.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0162 0.9075 0.996 0.004 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 5 0.2648 0.7346 0.000 0.152 0.000 0.000 0.848
#> D6654189-0570-4603-8C92-3032F2CF7EF3 4 0.3039 0.6956 0.000 0.000 0.000 0.808 0.192
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 5 0.4300 0.1324 0.000 0.476 0.000 0.000 0.524
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0000 0.9364 0.000 0.000 1.000 0.000 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 1 0.4567 0.4883 0.628 0.356 0.000 0.012 0.004
#> 164DD212-0839-4644-8FEE-E6A07A60803B 4 0.2929 0.8019 0.152 0.000 0.000 0.840 0.008
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.0671 0.9059 0.980 0.016 0.000 0.004 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.4802 0.5887 0.212 0.068 0.000 0.716 0.004
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 5 0.3424 0.6562 0.000 0.240 0.000 0.000 0.760
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.5120 0.6102 0.000 0.212 0.684 0.104 0.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.3430 0.7931 0.220 0.004 0.000 0.776 0.000
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.3435 0.8090 0.820 0.020 0.000 0.156 0.004
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.2068 0.7158 0.000 0.904 0.000 0.004 0.092
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.9364 0.000 0.000 1.000 0.000 0.000
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#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.1197 0.8063 0.000 0.048 0.000 0.000 0.952
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.6851 0.3658 0.356 0.248 0.000 0.392 0.004
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.4658 0.1925 0.000 0.576 0.000 0.408 0.016
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.1282 0.8953 0.952 0.044 0.000 0.004 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 4 0.2890 0.8023 0.160 0.000 0.000 0.836 0.004
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.3548 0.5901 0.188 0.004 0.000 0.012 0.796
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.3732 0.6407 0.144 0.024 0.000 0.016 0.816
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.3427 0.5860 0.192 0.000 0.000 0.012 0.796
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.9364 0.000 0.000 1.000 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0671 0.9060 0.980 0.016 0.000 0.004 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.3394 0.8120 0.824 0.020 0.000 0.152 0.004
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.3949 0.7118 0.332 0.000 0.000 0.668 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0609 0.8973 0.980 0.000 0.000 0.020 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.0404 0.8160 0.000 0.000 0.000 0.012 0.988
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.1282 0.8953 0.952 0.044 0.000 0.004 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.0609 0.8170 0.000 0.020 0.000 0.000 0.980
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0162 0.9067 0.996 0.000 0.000 0.004 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.5664 0.2713 0.000 0.560 0.000 0.092 0.348
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.1310 0.8055 0.000 0.000 0.024 0.020 0.956
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.4735 0.4906 0.672 0.044 0.000 0.284 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0162 0.9067 0.996 0.000 0.000 0.004 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 4 0.3831 0.7964 0.116 0.020 0.004 0.828 0.032
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.1205 0.8969 0.956 0.040 0.000 0.004 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.2690 0.6891 0.000 0.844 0.000 0.000 0.156
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0162 0.9075 0.996 0.004 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.9364 0.000 0.000 1.000 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.1282 0.8953 0.952 0.044 0.000 0.004 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.3934 0.6785 0.740 0.244 0.000 0.016 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0162 0.9067 0.996 0.000 0.000 0.004 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9073 1.000 0.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 4 0.1331 0.7381 0.000 0.008 0.000 0.952 0.040
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.9364 0.000 0.000 1.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.1282 0.8953 0.952 0.044 0.000 0.004 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.0162 0.8183 0.000 0.004 0.000 0.000 0.996
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.4404 0.6511 0.716 0.252 0.000 0.028 0.004
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.2390 0.7163 0.020 0.896 0.000 0.000 0.084
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.0579 0.8177 0.008 0.008 0.000 0.000 0.984
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.5145 0.6889 0.332 0.000 0.000 0.612 0.056
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.1928 0.7538 0.072 0.004 0.000 0.004 0.920
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 4 0.2813 0.7005 0.000 0.000 0.168 0.832 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.3435 0.8090 0.820 0.020 0.000 0.156 0.004
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.1408 0.8960 0.948 0.044 0.000 0.008 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.3435 0.8090 0.820 0.020 0.000 0.156 0.004
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 4 0.3452 0.6544 0.000 0.000 0.000 0.756 0.244
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.2966 0.8022 0.184 0.000 0.000 0.816 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.3210 0.6468 0.000 0.788 0.000 0.000 0.212
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.1768 0.7850 0.072 0.004 0.000 0.924 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.3435 0.8090 0.820 0.020 0.000 0.156 0.004
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 5 0.5524 0.4454 0.060 0.320 0.000 0.012 0.608
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.2476 0.7036 0.092 0.880 0.000 0.004 0.000 0.024
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 6 0.1588 0.8160 0.072 0.000 0.000 0.004 0.000 0.924
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.0000 0.8402 0.000 0.000 0.000 0.000 1.000 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0993 0.9113 0.964 0.000 0.000 0.012 0.000 0.024
#> 0797DC35-6243-451D-9653-9649D390C0F4 6 0.3508 0.6973 0.292 0.000 0.000 0.004 0.000 0.704
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 6 0.2320 0.8093 0.132 0.000 0.000 0.004 0.000 0.864
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 6 0.2212 0.8150 0.112 0.000 0.000 0.008 0.000 0.880
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 6 0.2431 0.7684 0.008 0.000 0.000 0.000 0.132 0.860
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.0520 0.8396 0.000 0.008 0.000 0.000 0.984 0.008
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.0363 0.7899 0.012 0.000 0.000 0.988 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.2003 0.7647 0.000 0.884 0.000 0.000 0.116 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 6 0.3014 0.7437 0.012 0.000 0.000 0.184 0.000 0.804
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.0146 0.8403 0.000 0.000 0.000 0.000 0.996 0.004
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 6 0.1588 0.8164 0.072 0.000 0.000 0.004 0.000 0.924
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.1546 0.8947 0.944 0.020 0.000 0.016 0.000 0.020
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 6 0.3819 0.6557 0.316 0.000 0.000 0.012 0.000 0.672
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0363 0.7820 0.012 0.000 0.000 0.988 0.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.0000 0.8402 0.000 0.000 0.000 0.000 1.000 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.6482 0.4757 0.092 0.188 0.000 0.552 0.000 0.168
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0622 0.9147 0.980 0.000 0.000 0.008 0.000 0.012
#> 82341457-7386-4C56-9DAF-A8F020055685 6 0.2178 0.7714 0.000 0.000 0.000 0.000 0.132 0.868
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 6 0.3659 0.7100 0.224 0.012 0.000 0.012 0.000 0.752
#> C1323790-6C24-4E54-A266-AE66588C1DD5 6 0.1333 0.7849 0.008 0.000 0.048 0.000 0.000 0.944
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.0363 0.7920 0.012 0.000 0.000 0.988 0.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.0000 0.8402 0.000 0.000 0.000 0.000 1.000 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0508 0.9149 0.984 0.000 0.000 0.004 0.000 0.012
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 6 0.2377 0.8009 0.024 0.008 0.000 0.000 0.076 0.892
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 6 0.5560 0.5375 0.172 0.000 0.000 0.236 0.008 0.584
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.2653 0.7897 0.844 0.000 0.000 0.012 0.000 0.144
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 6 0.2703 0.8147 0.064 0.000 0.000 0.008 0.052 0.876
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 6 0.2778 0.7933 0.168 0.000 0.000 0.008 0.000 0.824
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.3098 0.7591 0.812 0.000 0.000 0.164 0.000 0.024
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0260 0.7908 0.008 0.000 0.000 0.992 0.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 6 0.1007 0.8106 0.044 0.000 0.000 0.000 0.000 0.956
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0508 0.9132 0.984 0.004 0.000 0.012 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 6 0.1814 0.8158 0.100 0.000 0.000 0.000 0.000 0.900
#> 333F9855-9462-46B8-87C8-E9B01572C101 6 0.5677 0.2798 0.124 0.008 0.000 0.388 0.000 0.480
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 6 0.2300 0.8090 0.144 0.000 0.000 0.000 0.000 0.856
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.0547 0.7919 0.020 0.000 0.000 0.980 0.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0363 0.7919 0.012 0.000 0.000 0.988 0.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 5 0.3101 0.6679 0.000 0.244 0.000 0.000 0.756 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.1765 0.7728 0.000 0.904 0.000 0.000 0.096 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 4 0.3531 0.5476 0.328 0.000 0.000 0.672 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0291 0.9116 0.992 0.004 0.000 0.004 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0993 0.9113 0.964 0.000 0.000 0.012 0.000 0.024
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.3301 0.7139 0.188 0.000 0.000 0.788 0.000 0.024
#> 9BDFB73A-076E-418B-B84E-381341688002 6 0.2300 0.7452 0.000 0.000 0.144 0.000 0.000 0.856
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.3198 0.6260 0.000 0.740 0.000 0.000 0.260 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.0000 0.8402 0.000 0.000 0.000 0.000 1.000 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 4 0.3647 0.4895 0.360 0.000 0.000 0.640 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0405 0.7612 0.000 0.988 0.000 0.000 0.004 0.008
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0993 0.9113 0.964 0.000 0.000 0.012 0.000 0.024
#> 16463364-F250-4D42-B5C6-309333E40B83 5 0.2664 0.7011 0.000 0.184 0.000 0.000 0.816 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 6 0.4513 0.3391 0.028 0.396 0.000 0.004 0.000 0.572
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.9248 0.000 0.000 1.000 0.000 0.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.4687 0.6312 0.080 0.756 0.000 0.116 0.016 0.032
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0777 0.9126 0.972 0.000 0.000 0.004 0.000 0.024
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0363 0.9145 0.988 0.000 0.000 0.000 0.000 0.012
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.4521 0.2087 0.524 0.448 0.000 0.004 0.000 0.024
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.2871 0.6809 0.000 0.804 0.000 0.000 0.192 0.004
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 6 0.2772 0.7884 0.180 0.000 0.000 0.004 0.000 0.816
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0291 0.9116 0.992 0.004 0.000 0.004 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 5 0.2697 0.7013 0.000 0.188 0.000 0.000 0.812 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 6 0.2631 0.7518 0.000 0.000 0.000 0.000 0.180 0.820
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.3756 0.3732 0.000 0.600 0.000 0.000 0.400 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0000 0.9248 0.000 0.000 1.000 0.000 0.000 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 1 0.4936 0.5331 0.632 0.288 0.000 0.012 0.000 0.068
#> 164DD212-0839-4644-8FEE-E6A07A60803B 6 0.0806 0.8019 0.020 0.000 0.000 0.000 0.008 0.972
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.1448 0.9120 0.948 0.012 0.000 0.016 0.000 0.024
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.1180 0.7832 0.012 0.012 0.000 0.960 0.000 0.016
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 5 0.3175 0.6348 0.000 0.256 0.000 0.000 0.744 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.4873 0.6758 0.004 0.164 0.688 0.004 0.000 0.140
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 6 0.3248 0.7710 0.224 0.004 0.000 0.004 0.000 0.768
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.0260 0.7908 0.008 0.000 0.000 0.992 0.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.2389 0.7627 0.000 0.888 0.000 0.000 0.060 0.052
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.9248 0.000 0.000 1.000 0.000 0.000 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.1858 0.7375 0.000 0.904 0.000 0.004 0.000 0.092
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.4316 0.5676 0.312 0.000 0.000 0.648 0.000 0.040
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.0790 0.7911 0.032 0.000 0.000 0.968 0.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.4456 0.2549 0.448 0.000 0.000 0.524 0.000 0.028
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 1 0.3288 0.8322 0.844 0.060 0.000 0.012 0.004 0.080
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 5 0.0000 0.8402 0.000 0.000 0.000 0.000 1.000 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.2573 0.7553 0.112 0.000 0.000 0.864 0.000 0.024
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.2250 0.8540 0.888 0.000 0.000 0.092 0.000 0.020
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0000 0.9248 0.000 0.000 1.000 0.000 0.000 0.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0458 0.9147 0.984 0.000 0.000 0.000 0.000 0.016
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.4456 0.7317 0.000 0.000 0.708 0.000 0.180 0.112
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.0405 0.7892 0.008 0.000 0.000 0.988 0.000 0.004
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0891 0.9137 0.968 0.000 0.000 0.008 0.000 0.024
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0806 0.9137 0.972 0.000 0.000 0.008 0.000 0.020
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 5 0.1075 0.8218 0.000 0.048 0.000 0.000 0.952 0.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 6 0.2791 0.7986 0.032 0.000 0.000 0.096 0.008 0.864
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 6 0.4043 0.7731 0.128 0.000 0.000 0.116 0.000 0.756
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.3240 0.6120 0.752 0.000 0.000 0.004 0.000 0.244
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 4 0.5676 0.4292 0.272 0.000 0.000 0.524 0.000 0.204
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.2632 0.7511 0.832 0.000 0.000 0.164 0.000 0.004
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#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 6 0.4122 0.2186 0.000 0.472 0.000 0.004 0.004 0.520
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.1434 0.8916 0.948 0.024 0.000 0.008 0.000 0.020
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 6 0.1141 0.8123 0.052 0.000 0.000 0.000 0.000 0.948
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.3451 0.6365 0.156 0.000 0.000 0.012 0.804 0.028
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.3766 0.7136 0.080 0.016 0.000 0.008 0.816 0.080
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.3488 0.6317 0.160 0.000 0.000 0.012 0.800 0.028
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.9248 0.000 0.000 1.000 0.000 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.2137 0.8941 0.912 0.012 0.000 0.048 0.000 0.028
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.0363 0.7918 0.012 0.000 0.000 0.988 0.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 6 0.3426 0.7144 0.276 0.000 0.000 0.004 0.000 0.720
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.1265 0.9020 0.948 0.000 0.000 0.008 0.000 0.044
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.0458 0.8366 0.000 0.000 0.000 0.000 0.984 0.016
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.1434 0.8916 0.948 0.024 0.000 0.008 0.000 0.020
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.0146 0.8400 0.000 0.004 0.000 0.000 0.996 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0993 0.9113 0.964 0.000 0.000 0.012 0.000 0.024
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.5667 0.0682 0.000 0.472 0.000 0.000 0.368 0.160
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.1285 0.8135 0.000 0.000 0.004 0.000 0.944 0.052
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.3878 0.5220 0.668 0.008 0.000 0.004 0.000 0.320
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0993 0.9113 0.964 0.000 0.000 0.012 0.000 0.024
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 6 0.1881 0.7940 0.020 0.008 0.004 0.000 0.040 0.928
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.1350 0.8943 0.952 0.020 0.000 0.008 0.000 0.020
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.1957 0.7589 0.000 0.888 0.000 0.000 0.112 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0436 0.9129 0.988 0.004 0.000 0.004 0.000 0.004
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.9248 0.000 0.000 1.000 0.000 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.1434 0.8916 0.948 0.024 0.000 0.008 0.000 0.020
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.3812 0.7220 0.780 0.168 0.000 0.028 0.000 0.024
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0993 0.9113 0.964 0.000 0.000 0.012 0.000 0.024
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0870 0.9151 0.972 0.004 0.000 0.012 0.000 0.012
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 6 0.1779 0.7863 0.000 0.000 0.000 0.064 0.016 0.920
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.9248 0.000 0.000 1.000 0.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.1434 0.8916 0.948 0.024 0.000 0.008 0.000 0.020
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.0000 0.8402 0.000 0.000 0.000 0.000 1.000 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.5191 0.6471 0.136 0.152 0.000 0.680 0.000 0.032
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.1563 0.7755 0.012 0.932 0.000 0.000 0.056 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.0146 0.8400 0.000 0.000 0.000 0.000 0.996 0.004
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 6 0.4811 0.6770 0.272 0.000 0.000 0.012 0.064 0.652
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.1668 0.7851 0.060 0.000 0.000 0.008 0.928 0.004
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 6 0.1863 0.7621 0.000 0.000 0.104 0.000 0.000 0.896
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0260 0.7908 0.008 0.000 0.000 0.992 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.1871 0.8980 0.928 0.024 0.000 0.016 0.000 0.032
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.0260 0.7908 0.008 0.000 0.000 0.992 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 6 0.2933 0.7280 0.000 0.000 0.000 0.004 0.200 0.796
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 6 0.2442 0.8117 0.144 0.000 0.000 0.004 0.000 0.852
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.2597 0.7342 0.000 0.824 0.000 0.000 0.176 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 6 0.2554 0.8077 0.048 0.000 0.000 0.076 0.000 0.876
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0260 0.7908 0.008 0.000 0.000 0.992 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 5 0.5424 0.5143 0.016 0.272 0.000 0.012 0.620 0.080
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 17416 rows and 433 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 0.734 0.866 0.933 0.4668 0.534 0.534
#> 3 3 0.514 0.642 0.829 0.3652 0.781 0.597
#> 4 4 0.457 0.583 0.755 0.1138 0.770 0.454
#> 5 5 0.527 0.464 0.673 0.0500 0.847 0.545
#> 6 6 0.569 0.561 0.736 0.0448 0.838 0.478
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0938 0.9292 0.012 0.988
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.8555 0.6592 0.280 0.720
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0938 0.9292 0.012 0.988
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0672 0.9396 0.992 0.008
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.3114 0.9030 0.944 0.056
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 2 0.6712 0.8003 0.176 0.824
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 2 0.4939 0.8746 0.108 0.892
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.1843 0.9264 0.028 0.972
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0938 0.9292 0.012 0.988
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0672 0.9396 0.992 0.008
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0938 0.9292 0.012 0.988
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.8443 0.6666 0.272 0.728
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0938 0.9292 0.012 0.988
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 2 0.5294 0.8602 0.120 0.880
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.5294 0.8455 0.880 0.120
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0672 0.9396 0.992 0.008
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 2 0.9983 0.1875 0.476 0.524
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0938 0.9292 0.012 0.988
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 2 0.3114 0.9187 0.056 0.944
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.9385 1.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.2043 0.9255 0.032 0.968
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 2 0.5946 0.8411 0.144 0.856
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.1843 0.9238 0.028 0.972
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0672 0.9396 0.992 0.008
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0938 0.9292 0.012 0.988
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9385 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.7745 0.7383 0.228 0.772
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.8016 0.7157 0.244 0.756
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.8661 0.6001 0.712 0.288
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0938 0.9292 0.012 0.988
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 2 1.0000 0.1264 0.496 0.504
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0672 0.9396 0.992 0.008
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0672 0.9396 0.992 0.008
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 2 0.2948 0.9142 0.052 0.948
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9385 1.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.3431 0.9082 0.064 0.936
#> 333F9855-9462-46B8-87C8-E9B01572C101 2 0.9795 0.3684 0.416 0.584
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.7528 0.7163 0.784 0.216
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0672 0.9396 0.992 0.008
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0672 0.9396 0.992 0.008
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0938 0.9292 0.012 0.988
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0938 0.9292 0.012 0.988
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0672 0.9396 0.992 0.008
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.9385 1.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.9385 1.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0672 0.9396 0.992 0.008
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.1843 0.9238 0.028 0.972
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0938 0.9292 0.012 0.988
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0938 0.9292 0.012 0.988
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0672 0.9396 0.992 0.008
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0938 0.9292 0.012 0.988
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0938 0.9382 0.988 0.012
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0938 0.9292 0.012 0.988
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.1184 0.9289 0.016 0.984
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 2 0.1843 0.9238 0.028 0.972
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.1633 0.9272 0.024 0.976
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.9358 0.4648 0.648 0.352
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.9385 1.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.0938 0.9292 0.012 0.988
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0938 0.9292 0.012 0.988
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 2 0.1843 0.9238 0.028 0.972
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.9385 1.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0938 0.9292 0.012 0.988
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.5946 0.8347 0.144 0.856
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0938 0.9292 0.012 0.988
#> 481EF2B5-E610-4F19-80F2-22327EE33378 2 0.1843 0.9238 0.028 0.972
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.0938 0.9292 0.012 0.988
#> 164DD212-0839-4644-8FEE-E6A07A60803B 2 0.1843 0.9238 0.028 0.972
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.2948 0.9151 0.052 0.948
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 2 0.8608 0.6470 0.284 0.716
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0938 0.9292 0.012 0.988
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 2 0.1843 0.9238 0.028 0.972
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 2 0.2043 0.9227 0.032 0.968
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0672 0.9396 0.992 0.008
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0938 0.9292 0.012 0.988
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#> A3DBF047-C112-47D2-B192-87B2FD3C8694 2 0.1633 0.9242 0.024 0.976
#> 79E4E984-163D-43D9-B289-50C0D64A79C2 1 0.0000 0.9385 1.000 0.000
#> FFA0A012-76C8-4AD5-985D-27CEBD96FBC3 2 0.9944 0.2564 0.456 0.544
#> 839A5A2D-0447-4D06-B910-8500BF600E3E 2 0.0938 0.9292 0.012 0.988
#> CE775B7C-06CA-490B-922C-73A1E3EF34CA 1 0.9944 0.0769 0.544 0.456
#> 5D52CC4F-7BCA-491E-AE85-0719B30D121E 2 0.8713 0.6333 0.292 0.708
#> 5F16D2A6-BDD1-40FE-A34D-9C65D067EFEC 2 0.5842 0.8389 0.140 0.860
#> B76BA504-E72D-4243-8401-D9F12757B57D 1 0.0672 0.9396 0.992 0.008
#> 287690D7-7F42-4861-A884-98D5A7A4D18F 2 0.1843 0.9265 0.028 0.972
#> D1D1649A-7437-4F25-B86E-786A25B0ECBE 1 0.0000 0.9385 1.000 0.000
#> DAF737C4-DF51-4C8C-B263-91B00B09D8FC 1 0.3431 0.9047 0.936 0.064
#> A30417A9-2D50-4723-842A-45463DB534AD 2 0.9775 0.3725 0.412 0.588
#> 0B840B00-AFF7-4D0E-9815-FA2A893294C6 1 0.0376 0.9394 0.996 0.004
#> 32FC134E-6424-4517-9B0C-B2E487542EC3 1 0.9209 0.4530 0.664 0.336
#> 85363C3B-1793-4B41-8015-C5450C1D5428 1 0.0672 0.9396 0.992 0.008
#> A8574381-5644-4F7A-BDD7-C579A6398B70 2 0.0938 0.9292 0.012 0.988
#> 85BCE632-72B2-475A-8FE0-F045051B3CE5 1 0.0000 0.9385 1.000 0.000
#> 9972E418-EFEC-4AA6-AA83-98D79D74DFB4 1 0.0672 0.9396 0.992 0.008
#> 3F9403BF-0B47-40E4-8709-9DB0D218E607 1 0.9710 0.2832 0.600 0.400
#> E9595675-4155-43BB-8E68-FC59D55C62E6 1 0.0672 0.9396 0.992 0.008
#> 4B6DDD8E-AB89-4C9D-8D48-AD81B8FB4A31 2 0.0938 0.9292 0.012 0.988
#> EEDFA1F7-26D8-426A-93F5-43CCF0B3CF59 2 0.0938 0.9292 0.012 0.988
#> 2C26486A-A737-4B2F-9D98-28A700081CDA 2 0.0938 0.9292 0.012 0.988
#> 458FCE33-422D-4C4C-A9CF-ABFED8B19D4A 2 0.0938 0.9292 0.012 0.988
#> A66FCDA9-6775-4052-94C4-12E173DF4084 1 0.8499 0.5951 0.724 0.276
#> E3F52C71-F558-47C7-B956-BC79F98EFD5D 2 0.1633 0.9242 0.024 0.976
#> 82C75B87-33D1-4317-AC48-7043A3D677EC 2 0.1633 0.9242 0.024 0.976
#> E4DB5591-7C73-4792-B86F-3B2FB59C66BD 2 0.0938 0.9292 0.012 0.988
#> FEF62FF9-F25E-49A7-B1E4-84099D13A309 2 0.5519 0.8541 0.128 0.872
#> 3D6CE155-4E02-4739-A8C9-30981EA9B0B1 1 0.0000 0.9385 1.000 0.000
#> 0A3AB174-07D0-4396-A6C5-9ECEEBE8651C 1 0.0000 0.9385 1.000 0.000
#> 86ACC3DD-A9E8-4FDA-ACF9-33175CE06629 1 0.0672 0.9396 0.992 0.008
#> A3150223-5399-4CC6-90A7-6046F39FAC3E 2 0.0938 0.9292 0.012 0.988
#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 1 0.0672 0.9396 0.992 0.008
#> 99D8A9E2-773C-4142-9A93-5F749961F712 1 0.0000 0.9385 1.000 0.000
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 2 0.1843 0.9238 0.028 0.972
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 1 0.9998 -0.0919 0.508 0.492
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 2 0.1633 0.9242 0.024 0.976
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 1 0.4431 0.8757 0.908 0.092
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 2 0.0938 0.9292 0.012 0.988
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 2 0.0938 0.9292 0.012 0.988
#> 14003AA2-81B6-4143-98AD-124903BAE56B 1 0.0672 0.9396 0.992 0.008
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.1184 0.9345 0.984 0.016
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0938 0.9292 0.012 0.988
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.0938 0.9292 0.012 0.988
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.0938 0.9292 0.012 0.988
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 2 0.1184 0.9289 0.016 0.984
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 2 0.8386 0.6787 0.268 0.732
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.0672 0.9396 0.992 0.008
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0000 0.9385 1.000 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 2 0.0672 0.9277 0.008 0.992
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 2 0.1633 0.9242 0.024 0.976
#> 420503AA-3799-4816-BEEC-0B4D05988D38 2 0.0938 0.9292 0.012 0.988
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0000 0.9385 1.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.9385 1.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.0938 0.9292 0.012 0.988
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0376 0.9394 0.996 0.004
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0376 0.9394 0.996 0.004
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.8499 0.6656 0.276 0.724
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 2 0.2423 0.9210 0.040 0.960
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.0938 0.9292 0.012 0.988
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0938 0.9292 0.012 0.988
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0938 0.9292 0.012 0.988
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 2 0.4431 0.8843 0.092 0.908
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.0938 0.9292 0.012 0.988
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.0672 0.9277 0.008 0.992
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0938 0.9292 0.012 0.988
#> 000F8487-E841-4370-B958-85AB3A6D88F9 2 0.0938 0.9292 0.012 0.988
#> B822A426-98C1-4976-9FC2-16347992AD78 2 0.3431 0.9063 0.064 0.936
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0938 0.9292 0.012 0.988
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0376 0.9394 0.996 0.004
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0938 0.9292 0.012 0.988
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 2 0.1843 0.9238 0.028 0.972
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.0938 0.9292 0.012 0.988
#> E9894334-C852-4159-9FEB-40292B160CC1 2 0.1633 0.9242 0.024 0.976
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.0938 0.9292 0.012 0.988
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.0938 0.9387 0.988 0.012
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.4431 0.8823 0.092 0.908
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.1843 0.9258 0.028 0.972
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0938 0.9292 0.012 0.988
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.1414 0.9283 0.020 0.980
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 2 0.0000 0.9241 0.000 1.000
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 2 0.1843 0.9238 0.028 0.972
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0938 0.9292 0.012 0.988
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 2 0.8081 0.7126 0.248 0.752
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 2 0.9896 0.3062 0.440 0.560
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.2043 0.9255 0.032 0.968
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0938 0.9387 0.988 0.012
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.5059 0.8514 0.888 0.112
#> 197E34CA-EF43-495C-8AA4-858982333429 2 0.9170 0.5661 0.332 0.668
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0938 0.9387 0.988 0.012
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.7453 0.7148 0.788 0.212
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 2 0.4298 0.8921 0.088 0.912
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.1633 0.9256 0.024 0.976
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.9385 1.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0672 0.9396 0.992 0.008
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0938 0.9292 0.012 0.988
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0672 0.9396 0.992 0.008
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0938 0.9292 0.012 0.988
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.2603 0.9122 0.956 0.044
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 1.0000 -0.1052 0.504 0.496
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 2 0.1843 0.9238 0.028 0.972
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.8081 0.7098 0.248 0.752
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.1414 0.9274 0.020 0.980
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0938 0.9292 0.012 0.988
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.4161 0.8802 0.916 0.084
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0938 0.9292 0.012 0.988
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 2 0.9866 0.3322 0.432 0.568
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0938 0.9292 0.012 0.988
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 2 0.1843 0.9238 0.028 0.972
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0376 0.9258 0.004 0.996
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 2 0.8081 0.7072 0.248 0.752
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 2 0.1843 0.9264 0.028 0.972
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0938 0.9292 0.012 0.988
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0938 0.9292 0.012 0.988
#> 8DBE419E-A360-4493-AC3B-C145887D9237 2 0.1843 0.9238 0.028 0.972
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0938 0.9292 0.012 0.988
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0672 0.9396 0.992 0.008
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.1843 0.9238 0.028 0.972
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0672 0.9396 0.992 0.008
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.9385 1.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0672 0.9396 0.992 0.008
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0938 0.9292 0.012 0.988
#> 73D9833A-5E24-47D9-B193-22A66A282669 2 0.2423 0.9249 0.040 0.960
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0938 0.9292 0.012 0.988
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0376 0.9394 0.996 0.004
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 2 0.2043 0.9227 0.032 0.968
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0938 0.9292 0.012 0.988
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0938 0.9292 0.012 0.988
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0938 0.9292 0.012 0.988
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.1843 0.9238 0.028 0.972
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 2 0.8813 0.6255 0.300 0.700
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0672 0.9396 0.992 0.008
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.3274 0.9047 0.940 0.060
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0672 0.9396 0.992 0.008
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0938 0.9292 0.012 0.988
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.9385 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0938 0.9292 0.012 0.988
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.9385 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0938 0.9292 0.012 0.988
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.1184 0.9238 0.016 0.984
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.9661 0.3628 0.608 0.392
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.9385 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.1633 0.9242 0.024 0.976
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0376 0.9394 0.996 0.004
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0938 0.9292 0.012 0.988
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0672 0.9396 0.992 0.008
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.1843 0.9238 0.028 0.972
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.9385 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 2 0.8443 0.6755 0.272 0.728
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.2948 0.9157 0.052 0.948
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9385 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.3733 0.8970 0.072 0.928
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.1843 0.9238 0.028 0.972
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0376 0.9394 0.996 0.004
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0938 0.9292 0.012 0.988
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 2 0.9977 0.2060 0.472 0.528
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0938 0.9292 0.012 0.988
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0938 0.9292 0.012 0.988
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.1843 0.9238 0.028 0.972
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0938 0.9292 0.012 0.988
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.1843 0.9238 0.028 0.972
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0938 0.9387 0.988 0.012
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.2603 0.9113 0.956 0.044
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0672 0.9396 0.992 0.008
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0938 0.9292 0.012 0.988
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 2 0.2603 0.9177 0.044 0.956
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0938 0.9292 0.012 0.988
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.6887 0.7664 0.816 0.184
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0938 0.9387 0.988 0.012
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0938 0.9292 0.012 0.988
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.5178 0.51530 0.000 0.744 0.256
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.9687 0.47312 0.248 0.296 0.456
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.2711 0.74779 0.000 0.912 0.088
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0829 0.86877 0.984 0.012 0.004
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.9669 -0.23976 0.408 0.212 0.380
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.7180 0.63303 0.196 0.096 0.708
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.7339 0.60554 0.088 0.224 0.688
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.7710 0.44943 0.056 0.368 0.576
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0237 0.81897 0.000 0.996 0.004
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.87293 1.000 0.000 0.000
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#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.81835 0.000 1.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.87293 1.000 0.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.81835 0.000 1.000 0.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.7228 0.59000 0.708 0.188 0.104
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 3 0.9247 0.54931 0.276 0.200 0.524
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 3 0.1267 0.66697 0.004 0.024 0.972
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.9669 -0.32835 0.212 0.408 0.380
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.5497 0.45806 0.000 0.708 0.292
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0237 0.81897 0.000 0.996 0.004
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.8191 0.00382 0.528 0.076 0.396
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0237 0.81897 0.000 0.996 0.004
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 3 0.9698 0.48084 0.256 0.288 0.456
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0237 0.81897 0.000 0.996 0.004
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.1753 0.66625 0.000 0.048 0.952
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.5754 0.46815 0.004 0.700 0.296
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.9243 0.53196 0.208 0.264 0.528
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 3 0.7995 0.53080 0.088 0.304 0.608
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.5678 0.40780 0.000 0.684 0.316
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.5845 0.45089 0.004 0.688 0.308
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.1411 0.66805 0.000 0.036 0.964
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0592 0.81611 0.000 0.988 0.012
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.87293 1.000 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.1753 0.66625 0.000 0.048 0.952
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.87293 1.000 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0237 0.87284 0.996 0.000 0.004
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.87293 1.000 0.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0237 0.81897 0.000 0.996 0.004
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.8212 0.53595 0.104 0.296 0.600
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.1860 0.78715 0.000 0.948 0.052
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0237 0.87284 0.996 0.000 0.004
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.3888 0.67604 0.048 0.064 0.888
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.1163 0.80792 0.000 0.972 0.028
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.1964 0.78792 0.000 0.944 0.056
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.1289 0.80713 0.000 0.968 0.032
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.1753 0.66625 0.000 0.048 0.952
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 3 0.9880 0.40570 0.268 0.332 0.400
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0892 0.86761 0.980 0.000 0.020
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.5956 0.66271 0.768 0.188 0.044
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0592 0.87055 0.988 0.000 0.012
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.1964 0.78341 0.000 0.944 0.056
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0237 0.87284 0.996 0.000 0.004
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0747 0.81266 0.000 0.984 0.016
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0237 0.87284 0.996 0.000 0.004
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.3715 0.71817 0.004 0.868 0.128
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.6307 -0.05352 0.000 0.488 0.512
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.7736 0.29482 0.548 0.052 0.400
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0237 0.87284 0.996 0.000 0.004
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.3192 0.62351 0.000 0.112 0.888
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.87293 1.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0237 0.81897 0.000 0.996 0.004
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0237 0.87284 0.996 0.000 0.004
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.1753 0.66625 0.000 0.048 0.952
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0237 0.87284 0.996 0.000 0.004
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 2 0.9827 -0.36563 0.244 0.384 0.372
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.8518 -0.15910 0.092 0.472 0.436
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0237 0.87284 0.996 0.000 0.004
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.7558 0.63248 0.124 0.188 0.688
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.1753 0.66625 0.000 0.048 0.952
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.87293 1.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0747 0.81266 0.000 0.984 0.016
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 3 0.9148 0.55779 0.236 0.220 0.544
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.81835 0.000 1.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0237 0.81897 0.000 0.996 0.004
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 3 0.4556 0.67515 0.080 0.060 0.860
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0424 0.81726 0.000 0.992 0.008
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.1753 0.66625 0.000 0.048 0.952
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.1643 0.85863 0.956 0.000 0.044
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.4379 0.79803 0.868 0.060 0.072
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.87293 1.000 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.2261 0.78146 0.000 0.932 0.068
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.6835 0.63570 0.088 0.180 0.732
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.81835 0.000 1.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.6292 0.62111 0.740 0.216 0.044
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.2261 0.84344 0.932 0.000 0.068
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.3267 0.72346 0.000 0.884 0.116
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.4716 0.69347 0.000 0.764 0.040 0.196
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.3810 0.64578 0.000 0.092 0.060 0.848
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.5926 0.64267 0.000 0.692 0.192 0.116
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 4 0.4356 0.38156 0.292 0.000 0.000 0.708
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.3994 0.65194 0.056 0.008 0.088 0.848
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.4828 0.50802 0.008 0.008 0.268 0.716
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.4767 0.54317 0.000 0.020 0.256 0.724
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 4 0.5766 0.56216 0.000 0.104 0.192 0.704
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.2197 0.80914 0.000 0.916 0.004 0.080
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.5000 0.27240 0.504 0.000 0.000 0.496
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.1837 0.82101 0.000 0.944 0.028 0.028
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.6394 0.27805 0.000 0.088 0.316 0.596
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.5820 0.65111 0.000 0.700 0.192 0.108
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.5292 -0.07310 0.000 0.008 0.480 0.512
#> C8041089-E148-4B33-BBB7-9298B81A8832 4 0.5112 0.11615 0.436 0.004 0.000 0.560
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.3607 0.63379 0.096 0.008 0.032 0.864
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.6103 0.41253 0.076 0.004 0.264 0.656
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0657 0.81816 0.000 0.984 0.004 0.012
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.4590 0.62618 0.000 0.060 0.148 0.792
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.5004 0.40916 0.604 0.000 0.004 0.392
#> 82341457-7386-4C56-9DAF-A8F020055685 4 0.5309 0.58975 0.000 0.164 0.092 0.744
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 4 0.4817 0.63658 0.000 0.128 0.088 0.784
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.2831 0.78852 0.000 0.004 0.876 0.120
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.4655 0.33240 0.312 0.000 0.004 0.684
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.4844 0.73292 0.000 0.784 0.108 0.108
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.75242 1.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.6546 0.40601 0.000 0.172 0.192 0.636
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.6074 0.40661 0.000 0.104 0.228 0.668
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 4 0.4791 0.64033 0.080 0.000 0.136 0.784
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.5982 0.31691 0.000 0.524 0.040 0.436
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.4336 0.65566 0.064 0.008 0.100 0.828
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.4998 0.29556 0.512 0.000 0.000 0.488
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.4992 -0.19598 0.476 0.000 0.000 0.524
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.5620 0.58411 0.000 0.084 0.208 0.708
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.75242 1.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 4 0.5234 0.61244 0.000 0.096 0.152 0.752
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.5869 0.65792 0.052 0.108 0.084 0.756
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.5670 0.59156 0.128 0.000 0.152 0.720
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.4977 0.36775 0.540 0.000 0.000 0.460
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.5000 -0.25945 0.496 0.000 0.000 0.504
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0524 0.81794 0.000 0.988 0.004 0.008
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.1624 0.82045 0.000 0.952 0.028 0.020
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 4 0.5000 -0.26143 0.496 0.000 0.000 0.504
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.2814 0.68671 0.868 0.000 0.000 0.132
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.75242 1.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.4454 0.34159 0.308 0.000 0.000 0.692
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.3945 0.69147 0.000 0.004 0.780 0.216
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.1837 0.82101 0.000 0.944 0.028 0.028
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.5462 0.68913 0.000 0.736 0.152 0.112
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.3942 0.65640 0.764 0.000 0.000 0.236
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.1837 0.82101 0.000 0.944 0.028 0.028
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 4 0.4955 -0.07304 0.444 0.000 0.000 0.556
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0376 0.81679 0.000 0.992 0.004 0.004
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.6508 0.43026 0.000 0.568 0.088 0.344
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0921 0.81594 0.000 0.000 0.972 0.028
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.5853 0.26846 0.000 0.508 0.032 0.460
#> EED135AF-363B-4669-9270-3ADA652F5F7E 4 0.7118 0.41796 0.156 0.000 0.308 0.536
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0188 0.75246 0.996 0.000 0.000 0.004
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.5417 0.57832 0.000 0.676 0.040 0.284
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0592 0.82105 0.000 0.984 0.000 0.016
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 4 0.5158 -0.03357 0.000 0.004 0.472 0.524
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.75242 1.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.1661 0.81675 0.000 0.944 0.004 0.052
#> D6654189-0570-4603-8C92-3032F2CF7EF3 3 0.6750 0.21737 0.000 0.092 0.472 0.436
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0779 0.82024 0.000 0.980 0.004 0.016
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.1022 0.81733 0.000 0.000 0.968 0.032
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.6016 0.25831 0.000 0.544 0.044 0.412
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.2593 0.80000 0.000 0.004 0.892 0.104
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 4 0.4423 0.60544 0.000 0.176 0.036 0.788
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.6371 0.30595 0.000 0.092 0.300 0.608
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0524 0.81794 0.000 0.988 0.004 0.008
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.4889 0.44450 0.000 0.004 0.636 0.360
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.5158 -0.06190 0.000 0.004 0.472 0.524
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.5000 0.27013 0.504 0.000 0.000 0.496
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.1733 0.82074 0.000 0.948 0.028 0.024
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.1389 0.82023 0.000 0.000 0.952 0.048
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.5712 0.57565 0.000 0.644 0.048 0.308
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.5051 0.54693 0.000 0.100 0.132 0.768
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.4972 -0.13445 0.456 0.000 0.000 0.544
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.5000 0.27934 0.504 0.000 0.000 0.496
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.5578 0.52884 0.000 0.648 0.040 0.312
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.1824 0.81264 0.000 0.936 0.004 0.060
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.3060 0.66792 0.016 0.008 0.088 0.888
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.4008 0.64936 0.756 0.000 0.000 0.244
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0921 0.81594 0.000 0.000 0.972 0.028
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.3024 0.72042 0.852 0.000 0.000 0.148
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.1474 0.82048 0.000 0.000 0.948 0.052
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.5521 0.44725 0.052 0.004 0.240 0.704
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 4 0.4775 0.58840 0.140 0.000 0.076 0.784
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#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0921 0.81594 0.000 0.000 0.972 0.028
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.3942 0.64134 0.764 0.000 0.000 0.236
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.4844 0.73326 0.000 0.784 0.108 0.108
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.3383 0.66622 0.016 0.012 0.100 0.872
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.1837 0.82101 0.000 0.944 0.028 0.028
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.2412 0.80571 0.000 0.908 0.008 0.084
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.5285 -0.02965 0.000 0.008 0.468 0.524
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.5676 0.68134 0.000 0.720 0.136 0.144
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.2401 0.80542 0.000 0.004 0.904 0.092
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.4898 -0.01794 0.416 0.000 0.000 0.584
#> 002A3E61-7200-4B45-9704-6A9360233390 4 0.3710 0.54694 0.192 0.000 0.004 0.804
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.4961 -0.09369 0.448 0.000 0.000 0.552
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.6140 0.63545 0.000 0.652 0.096 0.252
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.4516 0.53460 0.000 0.012 0.252 0.736
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.1936 0.82168 0.000 0.940 0.028 0.032
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.5170 0.56822 0.184 0.060 0.004 0.752
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.4564 0.28918 0.328 0.000 0.000 0.672
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.6158 0.55901 0.000 0.640 0.088 0.272
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.3805 0.527544 0.000 0.784 0.008 0.016 0.192
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.5180 0.325394 0.000 0.020 0.012 0.492 0.476
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.4497 0.099538 0.000 0.424 0.008 0.000 0.568
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 4 0.4901 0.413609 0.216 0.000 0.000 0.700 0.084
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.3163 0.580646 0.008 0.004 0.020 0.860 0.108
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.5420 0.423772 0.000 0.000 0.076 0.592 0.332
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.5658 0.369273 0.000 0.000 0.080 0.512 0.408
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 5 0.5770 -0.271999 0.000 0.024 0.040 0.456 0.480
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.4192 0.384304 0.000 0.596 0.000 0.000 0.404
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.3366 0.321073 0.232 0.000 0.000 0.768 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0290 0.744144 0.000 0.992 0.000 0.000 0.008
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 5 0.6649 0.209473 0.000 0.020 0.156 0.304 0.520
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.4489 0.107243 0.000 0.420 0.008 0.000 0.572
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.6358 0.353872 0.000 0.000 0.180 0.492 0.328
#> C8041089-E148-4B33-BBB7-9298B81A8832 4 0.5171 0.431163 0.268 0.008 0.000 0.664 0.060
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.3908 0.569561 0.016 0.004 0.004 0.776 0.200
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.6204 0.233512 0.008 0.000 0.168 0.580 0.244
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.3336 0.650324 0.000 0.772 0.000 0.000 0.228
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.5627 0.352119 0.000 0.024 0.032 0.508 0.436
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.4249 0.397040 0.568 0.000 0.000 0.432 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 5 0.6089 -0.086034 0.000 0.088 0.012 0.400 0.500
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 4 0.6598 0.381467 0.000 0.112 0.032 0.520 0.336
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.3910 0.697021 0.000 0.000 0.772 0.032 0.196
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.2377 0.466187 0.128 0.000 0.000 0.872 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.4273 0.035444 0.000 0.448 0.000 0.000 0.552
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.825933 1.000 0.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 5 0.6807 0.048452 0.000 0.052 0.096 0.360 0.492
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 5 0.6651 0.213539 0.000 0.020 0.160 0.296 0.524
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 4 0.4903 0.480001 0.012 0.000 0.036 0.680 0.272
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 5 0.7041 0.274032 0.000 0.300 0.012 0.272 0.416
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.4655 0.540014 0.012 0.000 0.032 0.712 0.244
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.3452 0.301600 0.244 0.000 0.000 0.756 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.3336 0.328870 0.228 0.000 0.000 0.772 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.6021 0.290752 0.000 0.020 0.064 0.472 0.444
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.825933 1.000 0.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 4 0.6024 0.280241 0.000 0.020 0.064 0.460 0.456
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.6084 0.458528 0.008 0.080 0.016 0.592 0.304
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.5021 0.494579 0.020 0.000 0.048 0.704 0.228
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.3508 0.293121 0.252 0.000 0.000 0.748 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.3424 0.306259 0.240 0.000 0.000 0.760 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.3039 0.677570 0.000 0.808 0.000 0.000 0.192
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0162 0.745995 0.000 0.996 0.000 0.000 0.004
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 4 0.3336 0.328870 0.228 0.000 0.000 0.772 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.2230 0.752921 0.884 0.000 0.000 0.116 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.825933 1.000 0.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.3355 0.397744 0.184 0.000 0.000 0.804 0.012
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.6556 0.157348 0.000 0.000 0.476 0.264 0.260
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.745726 0.000 1.000 0.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.4256 0.076084 0.000 0.436 0.000 0.000 0.564
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.4192 0.467617 0.596 0.000 0.000 0.404 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.745726 0.000 1.000 0.000 0.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 4 0.4323 0.185606 0.332 0.012 0.000 0.656 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.3366 0.644303 0.000 0.768 0.000 0.000 0.232
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 5 0.6862 0.328460 0.000 0.352 0.012 0.200 0.436
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0404 0.829995 0.000 0.000 0.988 0.000 0.012
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.6395 -0.137973 0.000 0.504 0.012 0.128 0.356
#> EED135AF-363B-4669-9270-3ADA652F5F7E 4 0.5416 0.506000 0.024 0.000 0.068 0.680 0.228
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.825933 1.000 0.000 0.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.6297 0.093524 0.000 0.568 0.020 0.120 0.292
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.2377 0.709872 0.000 0.872 0.000 0.000 0.128
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 4 0.6150 0.296753 0.000 0.000 0.132 0.464 0.404
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.825933 1.000 0.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.3913 0.535896 0.000 0.676 0.000 0.000 0.324
#> D6654189-0570-4603-8C92-3032F2CF7EF3 5 0.5401 -0.057766 0.000 0.020 0.340 0.036 0.604
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.2852 0.688888 0.000 0.828 0.000 0.000 0.172
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0771 0.835194 0.000 0.000 0.976 0.004 0.020
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.6682 -0.021339 0.000 0.508 0.012 0.200 0.280
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.4325 0.644060 0.000 0.000 0.724 0.036 0.240
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 4 0.6386 0.362251 0.000 0.128 0.012 0.508 0.352
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 5 0.6675 0.198778 0.000 0.020 0.156 0.312 0.512
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.3039 0.677570 0.000 0.808 0.000 0.000 0.192
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.6805 -0.122687 0.000 0.000 0.372 0.316 0.312
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.6196 0.325076 0.000 0.000 0.152 0.508 0.340
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.3452 0.298621 0.244 0.000 0.000 0.756 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0290 0.745862 0.000 0.992 0.000 0.000 0.008
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0693 0.835209 0.000 0.000 0.980 0.012 0.008
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.5181 0.343096 0.000 0.676 0.012 0.060 0.252
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 5 0.5888 -0.065621 0.004 0.032 0.036 0.376 0.552
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.3430 0.341076 0.220 0.000 0.000 0.776 0.004
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.3452 0.294068 0.244 0.000 0.000 0.756 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.6508 0.044423 0.000 0.540 0.012 0.180 0.268
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.4161 0.405550 0.000 0.608 0.000 0.000 0.392
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.4444 0.476482 0.000 0.000 0.012 0.624 0.364
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.4256 0.409196 0.564 0.000 0.000 0.436 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0771 0.835194 0.000 0.000 0.976 0.004 0.020
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.2852 0.741107 0.828 0.000 0.000 0.172 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.1809 0.820100 0.000 0.000 0.928 0.012 0.060
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 5 0.6373 0.006679 0.000 0.000 0.164 0.412 0.424
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 4 0.4623 0.551775 0.028 0.000 0.024 0.736 0.212
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.825933 1.000 0.000 0.000 0.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.3074 0.675903 0.000 0.804 0.000 0.000 0.196
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 4 0.4920 0.439493 0.000 0.000 0.032 0.584 0.384
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 4 0.4917 0.404743 0.000 0.000 0.028 0.556 0.416
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 4 0.3454 0.579497 0.036 0.000 0.016 0.848 0.100
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 4 0.1872 0.579006 0.020 0.000 0.000 0.928 0.052
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 4 0.4074 0.134383 0.364 0.000 0.000 0.636 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 4 0.3430 0.341518 0.220 0.000 0.000 0.776 0.004
#> 7465251E-7BC8-4179-8950-4E41836CF36B 5 0.4273 0.047325 0.000 0.448 0.000 0.000 0.552
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 4 0.2983 0.565895 0.032 0.004 0.000 0.868 0.096
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0000 0.745726 0.000 1.000 0.000 0.000 0.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 4 0.6972 0.257262 0.004 0.180 0.016 0.456 0.344
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 4 0.7090 0.200009 0.000 0.224 0.020 0.432 0.324
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.0162 0.828064 0.000 0.000 0.996 0.000 0.004
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 4 0.5546 0.336229 0.000 0.008 0.048 0.488 0.456
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0609 0.739741 0.000 0.980 0.000 0.000 0.020
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 5 0.5907 -0.192376 0.000 0.020 0.056 0.428 0.496
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.0162 0.828064 0.000 0.000 0.996 0.000 0.004
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 4 0.6232 0.347852 0.000 0.000 0.152 0.492 0.356
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.4171 0.480324 0.604 0.000 0.000 0.396 0.000
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0162 0.826025 0.996 0.000 0.000 0.004 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.1012 0.836051 0.000 0.000 0.968 0.012 0.020
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 4 0.3593 0.562536 0.088 0.000 0.000 0.828 0.084
#> B54317C9-8704-42A6-BE96-E12855874596 5 0.8083 0.434019 0.000 0.180 0.188 0.192 0.440
#> 759B6273-634D-4145-AA95-452D628BF100 4 0.6541 0.467123 0.180 0.000 0.012 0.532 0.276
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0609 0.739741 0.000 0.980 0.000 0.000 0.020
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.4310 0.512449 0.604 0.000 0.000 0.392 0.004
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 4 0.5253 0.337943 0.000 0.024 0.012 0.500 0.464
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 4 0.4268 -0.118765 0.444 0.000 0.000 0.556 0.000
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.7035 -0.248525 0.000 0.400 0.012 0.248 0.340
#> A6177818-114B-437B-9928-A6747A788109 1 0.0000 0.825933 1.000 0.000 0.000 0.000 0.000
#> E7064800-48FD-492A-A074-84A0B2452445 4 0.6604 0.275228 0.000 0.000 0.224 0.440 0.336
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 5 0.4297 -0.075457 0.000 0.472 0.000 0.000 0.528
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0000 0.825933 1.000 0.000 0.000 0.000 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.1270 0.739126 0.000 0.948 0.000 0.000 0.052
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.0162 0.828064 0.000 0.000 0.996 0.000 0.004
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 4 0.1970 0.576955 0.012 0.000 0.004 0.924 0.060
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 4 0.3109 0.378145 0.200 0.000 0.000 0.800 0.000
#> EB235E9A-E453-4108-AD4F-31260F4340A6 5 0.6771 0.006778 0.000 0.020 0.148 0.396 0.436
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 4 0.3209 0.406789 0.180 0.000 0.000 0.812 0.008
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 4 0.5594 0.335510 0.000 0.000 0.072 0.492 0.436
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.0000 0.825933 1.000 0.000 0.000 0.000 0.000
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 4 0.3989 0.579120 0.024 0.012 0.000 0.784 0.180
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#> 458FCE33-422D-4C4C-A9CF-ABFED8B19D4A 2 0.0290 0.744144 0.000 0.992 0.000 0.000 0.008
#> A66FCDA9-6775-4052-94C4-12E173DF4084 4 0.3914 0.558217 0.016 0.000 0.012 0.780 0.192
#> E3F52C71-F558-47C7-B956-BC79F98EFD5D 3 0.0912 0.836022 0.000 0.000 0.972 0.012 0.016
#> 82C75B87-33D1-4317-AC48-7043A3D677EC 3 0.0912 0.836022 0.000 0.000 0.972 0.012 0.016
#> E4DB5591-7C73-4792-B86F-3B2FB59C66BD 2 0.3143 0.561455 0.000 0.796 0.000 0.000 0.204
#> FEF62FF9-F25E-49A7-B1E4-84099D13A309 5 0.6786 0.197817 0.000 0.020 0.172 0.312 0.496
#> 3D6CE155-4E02-4739-A8C9-30981EA9B0B1 1 0.3999 0.552823 0.656 0.000 0.000 0.344 0.000
#> 0A3AB174-07D0-4396-A6C5-9ECEEBE8651C 1 0.0404 0.824967 0.988 0.000 0.000 0.012 0.000
#> 86ACC3DD-A9E8-4FDA-ACF9-33175CE06629 4 0.4384 0.355605 0.228 0.000 0.000 0.728 0.044
#> A3150223-5399-4CC6-90A7-6046F39FAC3E 2 0.0290 0.744144 0.000 0.992 0.000 0.000 0.008
#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 1 0.4287 0.349248 0.540 0.000 0.000 0.460 0.000
#> 99D8A9E2-773C-4142-9A93-5F749961F712 1 0.3563 0.728971 0.780 0.000 0.000 0.208 0.012
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 3 0.4840 0.543528 0.000 0.000 0.688 0.064 0.248
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 4 0.4269 0.520418 0.000 0.000 0.016 0.684 0.300
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 3 0.4141 0.663829 0.000 0.000 0.736 0.028 0.236
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 4 0.3023 0.562187 0.012 0.012 0.004 0.868 0.104
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 5 0.4658 0.093342 0.000 0.432 0.004 0.008 0.556
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 2 0.6263 0.076792 0.000 0.556 0.012 0.132 0.300
#> 14003AA2-81B6-4143-98AD-124903BAE56B 4 0.3534 0.287455 0.256 0.000 0.000 0.744 0.000
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.4304 0.255810 0.516 0.000 0.000 0.484 0.000
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0290 0.744144 0.000 0.992 0.000 0.000 0.008
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.4076 0.504716 0.000 0.768 0.012 0.020 0.200
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.4171 0.421889 0.000 0.604 0.000 0.000 0.396
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 5 0.6500 0.039210 0.000 0.128 0.016 0.364 0.492
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 5 0.6786 0.235681 0.000 0.024 0.172 0.288 0.516
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 4 0.4349 0.468962 0.176 0.000 0.000 0.756 0.068
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.3480 0.685784 0.752 0.000 0.000 0.248 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 5 0.5204 0.122244 0.000 0.392 0.048 0.000 0.560
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.0912 0.836022 0.000 0.000 0.972 0.012 0.016
#> 420503AA-3799-4816-BEEC-0B4D05988D38 5 0.4590 0.100458 0.000 0.420 0.012 0.000 0.568
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.3282 0.756576 0.804 0.000 0.000 0.188 0.008
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.825933 1.000 0.000 0.000 0.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.3109 0.673680 0.000 0.800 0.000 0.000 0.200
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.4161 0.468731 0.608 0.000 0.000 0.392 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.2966 0.739035 0.816 0.000 0.000 0.184 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 5 0.6722 0.228354 0.000 0.020 0.172 0.292 0.516
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 4 0.6352 0.329958 0.000 0.116 0.012 0.480 0.392
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 5 0.4481 0.116563 0.000 0.416 0.008 0.000 0.576
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0609 0.745050 0.000 0.980 0.000 0.000 0.020
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0290 0.744144 0.000 0.992 0.000 0.000 0.008
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 4 0.5421 0.461981 0.000 0.000 0.096 0.628 0.276
#> B232056E-59B2-4D05-983D-8740D6994A71 5 0.4718 0.070512 0.000 0.444 0.000 0.016 0.540
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 5 0.4958 0.122471 0.000 0.400 0.032 0.000 0.568
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.2891 0.686732 0.000 0.824 0.000 0.000 0.176
#> 000F8487-E841-4370-B958-85AB3A6D88F9 5 0.6640 -0.035705 0.000 0.152 0.416 0.012 0.420
#> B822A426-98C1-4976-9FC2-16347992AD78 4 0.5769 0.340730 0.000 0.016 0.052 0.504 0.428
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0290 0.744144 0.000 0.992 0.000 0.000 0.008
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.1608 0.812225 0.928 0.000 0.000 0.072 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0162 0.745950 0.000 0.996 0.000 0.000 0.004
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.1012 0.836051 0.000 0.000 0.968 0.012 0.020
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.4150 0.413064 0.000 0.612 0.000 0.000 0.388
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.1195 0.835015 0.000 0.000 0.960 0.012 0.028
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.7110 -0.249042 0.000 0.380 0.012 0.316 0.292
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.1399 0.572765 0.028 0.000 0.000 0.952 0.020
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 5 0.8170 0.230345 0.000 0.148 0.168 0.320 0.364
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.6870 -0.138952 0.000 0.464 0.012 0.224 0.300
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0510 0.745486 0.000 0.984 0.000 0.000 0.016
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 4 0.6690 0.280252 0.000 0.152 0.016 0.464 0.368
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 5 0.6081 0.056199 0.000 0.376 0.128 0.000 0.496
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 4 0.5906 0.341425 0.000 0.000 0.104 0.492 0.404
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.4431 0.453563 0.000 0.732 0.000 0.052 0.216
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 4 0.6254 0.399536 0.000 0.096 0.020 0.532 0.352
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 4 0.4802 0.515467 0.008 0.004 0.020 0.664 0.304
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 4 0.5269 0.306449 0.000 0.020 0.016 0.484 0.480
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.4168 0.405740 0.200 0.000 0.000 0.756 0.044
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 4 0.3983 0.548189 0.012 0.008 0.008 0.780 0.192
#> 197E34CA-EF43-495C-8AA4-858982333429 4 0.5920 0.434777 0.008 0.052 0.016 0.556 0.368
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 4 0.4558 0.384266 0.216 0.000 0.000 0.724 0.060
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 4 0.3883 0.570461 0.028 0.000 0.012 0.800 0.160
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 4 0.5399 0.361035 0.000 0.016 0.028 0.516 0.440
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 5 0.7874 0.295844 0.000 0.144 0.168 0.220 0.468
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.825933 1.000 0.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 4 0.1774 0.559292 0.052 0.000 0.000 0.932 0.016
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0162 0.745079 0.000 0.996 0.000 0.000 0.004
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.3395 0.316873 0.236 0.000 0.000 0.764 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0963 0.736191 0.000 0.964 0.000 0.000 0.036
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 4 0.3805 0.558406 0.016 0.008 0.000 0.784 0.192
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 4 0.5081 0.517634 0.008 0.008 0.032 0.664 0.288
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 4 0.6685 0.094461 0.000 0.000 0.376 0.388 0.236
#> FAA38111-F046-4ACD-B787-764A17EAF548 5 0.7097 0.234243 0.000 0.044 0.168 0.288 0.500
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.3711 0.579144 0.000 0.820 0.012 0.032 0.136
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.3003 0.680103 0.000 0.812 0.000 0.000 0.188
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 4 0.3840 0.559757 0.012 0.000 0.008 0.772 0.208
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.3210 0.664856 0.000 0.788 0.000 0.000 0.212
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.5563 0.406787 0.004 0.028 0.020 0.552 0.396
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.3074 0.675903 0.000 0.804 0.000 0.000 0.196
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0162 0.828064 0.000 0.000 0.996 0.000 0.004
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 5 0.5057 0.075585 0.000 0.412 0.028 0.004 0.556
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 4 0.5343 0.341810 0.000 0.020 0.020 0.504 0.456
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 4 0.5631 0.316314 0.000 0.020 0.036 0.484 0.460
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.5946 0.083834 0.000 0.580 0.008 0.108 0.304
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 5 0.6789 0.240669 0.000 0.212 0.012 0.292 0.484
#> 8DBE419E-A360-4493-AC3B-C145887D9237 4 0.6452 0.331070 0.000 0.000 0.196 0.476 0.328
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.1668 0.717439 0.000 0.940 0.000 0.032 0.028
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 4 0.3508 0.285686 0.252 0.000 0.000 0.748 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0898 0.836079 0.000 0.000 0.972 0.008 0.020
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 4 0.3707 0.250264 0.284 0.000 0.000 0.716 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0880 0.822216 0.968 0.000 0.000 0.032 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.4030 0.142425 0.352 0.000 0.000 0.648 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.4256 0.327227 0.000 0.564 0.000 0.000 0.436
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.5626 0.337195 0.000 0.020 0.036 0.496 0.448
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.4460 0.565738 0.000 0.748 0.016 0.032 0.204
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.1965 0.802261 0.904 0.000 0.000 0.096 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 4 0.5895 0.354614 0.000 0.000 0.104 0.500 0.396
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.4481 0.116563 0.000 0.416 0.008 0.000 0.576
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.5919 0.214064 0.000 0.316 0.112 0.004 0.568
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.4930 0.155325 0.000 0.388 0.032 0.000 0.580
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0162 0.828064 0.000 0.000 0.996 0.000 0.004
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.6088 0.456251 0.008 0.088 0.012 0.588 0.304
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.3336 0.327870 0.228 0.000 0.000 0.772 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.2299 0.571410 0.032 0.004 0.000 0.912 0.052
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.3210 0.346911 0.212 0.000 0.000 0.788 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.5154 0.168670 0.000 0.372 0.048 0.000 0.580
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0510 0.824830 0.984 0.000 0.000 0.016 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.4268 0.047614 0.000 0.444 0.000 0.000 0.556
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.2127 0.794340 0.892 0.000 0.000 0.108 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 5 0.7198 0.180671 0.000 0.344 0.248 0.020 0.388
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.5839 0.423931 0.000 0.248 0.612 0.004 0.136
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 4 0.4887 0.468869 0.004 0.000 0.044 0.668 0.284
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0404 0.826105 0.988 0.000 0.000 0.012 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.3391 0.722758 0.000 0.000 0.800 0.012 0.188
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.4126 0.482444 0.620 0.000 0.000 0.380 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.3210 0.669866 0.000 0.788 0.000 0.000 0.212
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.3452 0.672353 0.756 0.000 0.000 0.244 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0162 0.828064 0.000 0.000 0.996 0.000 0.004
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.825933 1.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 4 0.6794 0.295220 0.000 0.204 0.012 0.476 0.308
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 4 0.6621 0.353899 0.000 0.116 0.028 0.496 0.360
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0963 0.823983 0.964 0.000 0.000 0.036 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.6169 0.256524 0.000 0.020 0.524 0.084 0.372
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0162 0.828064 0.000 0.000 0.996 0.000 0.004
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.4218 0.555386 0.660 0.000 0.000 0.332 0.008
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.4278 0.022061 0.000 0.452 0.000 0.000 0.548
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.4855 0.523415 0.004 0.004 0.036 0.680 0.276
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.745726 0.000 1.000 0.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.4306 -0.071594 0.000 0.492 0.000 0.000 0.508
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.5807 0.330943 0.000 0.000 0.092 0.484 0.424
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.4528 0.063156 0.000 0.444 0.000 0.008 0.548
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.2909 0.769122 0.000 0.000 0.848 0.012 0.140
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.5183 0.430357 0.200 0.000 0.004 0.692 0.104
#> 002A3E61-7200-4B45-9704-6A9360233390 4 0.3994 0.566769 0.140 0.000 0.000 0.792 0.068
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.3452 0.299478 0.244 0.000 0.000 0.756 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.4841 0.140825 0.000 0.416 0.000 0.024 0.560
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.5605 0.375397 0.000 0.000 0.076 0.520 0.404
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.745726 0.000 1.000 0.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.4104 0.531680 0.032 0.016 0.000 0.788 0.164
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.5114 0.564054 0.120 0.000 0.016 0.728 0.136
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.7008 -0.318139 0.000 0.400 0.012 0.236 0.352
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
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#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.4074 0.32673 0.000 0.704 0.000 0.012 0.020 0.264
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.3586 0.51565 0.000 0.720 0.000 0.012 0.268 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 6 0.3239 0.63124 0.008 0.000 0.000 0.152 0.024 0.816
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.3989 0.47869 0.000 0.696 0.000 0.012 0.280 0.012
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 6 0.2788 0.70246 0.004 0.008 0.000 0.056 0.056 0.876
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#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.2420 0.79057 0.000 0.000 0.884 0.040 0.076 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 5 0.7054 0.76187 0.000 0.268 0.116 0.004 0.464 0.148
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 6 0.1348 0.71401 0.004 0.016 0.004 0.004 0.016 0.956
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 6 0.1456 0.71397 0.012 0.020 0.004 0.008 0.004 0.952
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 6 0.4930 0.01776 0.000 0.472 0.004 0.016 0.024 0.484
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 6 0.3595 0.58506 0.004 0.180 0.000 0.000 0.036 0.780
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#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.2357 0.63831 0.000 0.888 0.004 0.004 0.012 0.092
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 4 0.4600 0.69707 0.132 0.000 0.000 0.744 0.040 0.084
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0508 0.80616 0.000 0.000 0.984 0.000 0.012 0.004
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 4 0.4188 0.59022 0.236 0.000 0.000 0.712 0.004 0.048
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.1984 0.75016 0.912 0.000 0.000 0.056 0.000 0.032
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.4518 0.56894 0.264 0.000 0.000 0.672 0.004 0.060
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.5439 0.60114 0.000 0.408 0.000 0.000 0.472 0.120
#> 73D9833A-5E24-47D9-B193-22A66A282669 6 0.1312 0.71344 0.012 0.020 0.004 0.008 0.000 0.956
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.3834 0.52393 0.000 0.772 0.000 0.008 0.048 0.172
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.3073 0.66161 0.788 0.000 0.000 0.204 0.000 0.008
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 6 0.2224 0.70793 0.012 0.000 0.064 0.000 0.020 0.904
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.6362 0.81403 0.000 0.284 0.044 0.000 0.504 0.168
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.6943 0.76737 0.000 0.256 0.120 0.000 0.472 0.152
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.6504 0.79692 0.000 0.276 0.048 0.000 0.488 0.188
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.2420 0.79057 0.000 0.000 0.884 0.040 0.076 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 6 0.4045 0.66613 0.008 0.020 0.000 0.120 0.060 0.792
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.3375 0.71291 0.088 0.000 0.000 0.828 0.008 0.076
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.4697 0.29521 0.028 0.000 0.000 0.500 0.008 0.464
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.3464 0.71961 0.084 0.000 0.000 0.808 0.000 0.108
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.6555 0.81693 0.000 0.284 0.068 0.000 0.496 0.152
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.2048 0.73416 0.880 0.000 0.000 0.120 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.5876 0.81515 0.000 0.288 0.024 0.000 0.548 0.140
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0692 0.77354 0.976 0.000 0.000 0.020 0.004 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 3 0.7895 -0.46912 0.000 0.264 0.284 0.008 0.240 0.204
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.5715 0.16833 0.000 0.196 0.584 0.000 0.204 0.016
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 6 0.3925 0.63407 0.012 0.000 0.028 0.160 0.016 0.784
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0363 0.77733 0.988 0.000 0.000 0.012 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.3098 0.70465 0.000 0.000 0.836 0.004 0.040 0.120
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.4751 0.09569 0.500 0.000 0.000 0.452 0.000 0.048
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.3695 0.50250 0.000 0.712 0.000 0.016 0.272 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.3230 0.68276 0.792 0.000 0.000 0.192 0.008 0.008
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.2420 0.79057 0.000 0.000 0.884 0.040 0.076 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.77783 1.000 0.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 6 0.4267 0.61764 0.000 0.208 0.000 0.052 0.012 0.728
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 6 0.3700 0.70186 0.016 0.100 0.000 0.040 0.020 0.824
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.2100 0.73942 0.884 0.000 0.000 0.112 0.004 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.5862 0.27056 0.000 0.008 0.508 0.004 0.144 0.336
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.2420 0.79057 0.000 0.000 0.884 0.040 0.076 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.5214 0.38450 0.596 0.000 0.000 0.288 0.004 0.112
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.5964 0.72585 0.000 0.360 0.020 0.000 0.484 0.136
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 6 0.3120 0.67986 0.016 0.000 0.008 0.076 0.040 0.860
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0146 0.71245 0.000 0.996 0.000 0.000 0.004 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.6206 -0.44847 0.000 0.448 0.000 0.012 0.316 0.224
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 6 0.2617 0.70485 0.012 0.000 0.080 0.008 0.016 0.884
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.6367 0.65280 0.000 0.348 0.016 0.000 0.400 0.236
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.2697 0.66672 0.000 0.000 0.812 0.000 0.000 0.188
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.6460 0.59625 0.112 0.000 0.000 0.524 0.092 0.272
#> 002A3E61-7200-4B45-9704-6A9360233390 6 0.6591 -0.27915 0.164 0.000 0.004 0.392 0.040 0.400
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.3572 0.71337 0.100 0.000 0.000 0.812 0.008 0.080
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 6 0.6497 -0.52147 0.000 0.276 0.020 0.000 0.312 0.392
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 6 0.1409 0.71206 0.012 0.000 0.032 0.008 0.000 0.948
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0405 0.71338 0.000 0.988 0.000 0.000 0.004 0.008
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.4553 0.24138 0.008 0.008 0.000 0.500 0.008 0.476
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 6 0.6409 -0.21911 0.080 0.000 0.000 0.376 0.092 0.452
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 6 0.4766 0.23611 0.000 0.328 0.004 0.004 0.048 0.616
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 17416 rows and 433 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.786 0.895 0.950 0.4981 0.501 0.501
#> 3 3 0.889 0.907 0.962 0.2781 0.774 0.584
#> 4 4 0.689 0.703 0.847 0.1480 0.844 0.597
#> 5 5 0.701 0.733 0.845 0.0759 0.864 0.550
#> 6 6 0.770 0.709 0.855 0.0469 0.874 0.506
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0672 0.9278 0.008 0.992
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.7453 0.7794 0.212 0.788
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0000 0.9317 0.000 1.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.9643 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0000 0.9643 1.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.0000 0.9643 1.000 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 2 0.9996 0.1850 0.488 0.512
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.4298 0.8954 0.088 0.912
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.9317 0.000 1.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.9643 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9317 0.000 1.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.9775 0.3324 0.588 0.412
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.9317 0.000 1.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 2 0.9129 0.5810 0.328 0.672
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9643 1.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.9643 1.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0000 0.9643 1.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.9317 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.5629 0.8169 0.868 0.132
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.9643 1.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0000 0.9317 0.000 1.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.9996 -0.0048 0.512 0.488
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.5294 0.8733 0.120 0.880
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.9643 1.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.9317 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9643 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.9833 0.2230 0.424 0.576
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.1633 0.9231 0.024 0.976
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0000 0.9643 1.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.9317 0.000 1.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.0000 0.9643 1.000 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.9643 1.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.9643 1.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 2 0.9686 0.4530 0.396 0.604
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9643 1.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.7219 0.7902 0.200 0.800
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.0376 0.9607 0.996 0.004
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.9643 1.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.9643 1.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.9643 1.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.9317 0.000 1.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9317 0.000 1.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.9643 1.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.9643 1.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.9643 1.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.9643 1.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.4690 0.8887 0.100 0.900
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.9317 0.000 1.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.9317 0.000 1.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.9643 1.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.9317 0.000 1.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.9643 1.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.9317 0.000 1.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.9317 0.000 1.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 2 0.4562 0.8913 0.096 0.904
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0376 0.9298 0.004 0.996
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.9643 1.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.9643 1.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.7950 0.7011 0.760 0.240
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.9317 0.000 1.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 1 0.8955 0.4874 0.688 0.312
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.9643 1.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.9317 0.000 1.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.0000 0.9317 0.000 1.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.9317 0.000 1.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 2 0.7299 0.7856 0.204 0.796
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.9963 0.0797 0.464 0.536
#> 164DD212-0839-4644-8FEE-E6A07A60803B 2 0.5737 0.8590 0.136 0.864
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.7745 0.7188 0.772 0.228
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 1 0.6973 0.7709 0.812 0.188
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.9317 0.000 1.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 2 0.4562 0.8913 0.096 0.904
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.0000 0.9643 1.000 0.000
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0000 0.9643 1.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.9317 0.000 1.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 2 0.4562 0.8913 0.096 0.904
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.9317 0.000 1.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.4298 0.8815 0.912 0.088
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0000 0.9643 1.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0000 0.9643 1.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.0000 0.9317 0.000 1.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.9317 0.000 1.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 2 0.9552 0.4996 0.376 0.624
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0000 0.9643 1.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 2 0.4690 0.8887 0.100 0.900
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0000 0.9643 1.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 2 0.4562 0.8913 0.096 0.904
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 1 0.0000 0.9643 1.000 0.000
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0000 0.9643 1.000 0.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.9643 1.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0000 0.9317 0.000 1.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 1 0.0000 0.9643 1.000 0.000
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 1 0.9754 0.2092 0.592 0.408
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.0000 0.9643 1.000 0.000
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.0000 0.9643 1.000 0.000
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.0000 0.9643 1.000 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.0000 0.9643 1.000 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.0000 0.9317 0.000 1.000
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.0000 0.9643 1.000 0.000
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0000 0.9317 0.000 1.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.7219 0.7564 0.800 0.200
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.9170 0.5371 0.668 0.332
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 2 0.4562 0.8913 0.096 0.904
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 2 0.5178 0.8767 0.116 0.884
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 0.9317 0.000 1.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 2 0.9358 0.5510 0.352 0.648
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 2 0.4562 0.8913 0.096 0.904
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 2 0.5519 0.8664 0.128 0.872
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.0000 0.9643 1.000 0.000
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0000 0.9643 1.000 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 2 0.5294 0.8733 0.120 0.880
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.0000 0.9643 1.000 0.000
#> B54317C9-8704-42A6-BE96-E12855874596 2 0.0000 0.9317 0.000 1.000
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.0000 0.9643 1.000 0.000
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0000 0.9317 0.000 1.000
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.0000 0.9643 1.000 0.000
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 2 0.1414 0.9246 0.020 0.980
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 1 0.0000 0.9643 1.000 0.000
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.0000 0.9317 0.000 1.000
#> A6177818-114B-437B-9928-A6747A788109 1 0.0000 0.9643 1.000 0.000
#> E7064800-48FD-492A-A074-84A0B2452445 2 0.9460 0.5267 0.364 0.636
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.0000 0.9317 0.000 1.000
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0000 0.9643 1.000 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.0000 0.9317 0.000 1.000
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 2 0.4562 0.8913 0.096 0.904
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 1 0.0000 0.9643 1.000 0.000
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 1 0.0000 0.9643 1.000 0.000
#> EB235E9A-E453-4108-AD4F-31260F4340A6 1 0.0000 0.9643 1.000 0.000
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 1 0.0000 0.9643 1.000 0.000
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 2 0.5737 0.8590 0.136 0.864
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.0000 0.9643 1.000 0.000
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 1 0.0000 0.9643 1.000 0.000
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 1 0.0000 0.9643 1.000 0.000
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 2 0.4562 0.8913 0.096 0.904
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 2 0.7950 0.7396 0.240 0.760
#> 94128D59-A5BB-4460-A671-5E1571726C4D 2 0.5408 0.8682 0.124 0.876
#> 12BE2E3A-1B57-4EEE-B130-E70B6BE5A96B 1 0.0000 0.9643 1.000 0.000
#> 66600553-0E68-405C-81A3-4064DA18737D 2 0.0000 0.9317 0.000 1.000
#> C65B6272-DD2B-4075-963B-746F8904B395 2 0.0000 0.9317 0.000 1.000
#> EC7F0653-0AC0-47AF-A6A2-0475E149065F 2 0.8909 0.6280 0.308 0.692
#> 3EEB805B-3DC3-47AD-9D83-672D39333B8F 1 0.9754 0.3583 0.592 0.408
#> ECC99215-F4FB-40D3-A44D-549D681F0CAD 2 0.4562 0.8913 0.096 0.904
#> ED242FAE-14D1-4804-9C96-281197D485A4 2 0.0376 0.9304 0.004 0.996
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#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.9317 0.000 1.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 2 0.4562 0.8913 0.096 0.904
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.0000 0.9317 0.000 1.000
#> E9894334-C852-4159-9FEB-40292B160CC1 2 0.0000 0.9317 0.000 1.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.1843 0.9166 0.028 0.972
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.0000 0.9643 1.000 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.0000 0.9317 0.000 1.000
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.7299 0.7514 0.796 0.204
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0000 0.9317 0.000 1.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 1 0.8443 0.6508 0.728 0.272
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 2 0.0000 0.9317 0.000 1.000
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 2 0.9775 0.4137 0.412 0.588
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.9317 0.000 1.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.4562 0.8710 0.904 0.096
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 2 0.9833 0.3827 0.424 0.576
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.0938 0.9276 0.012 0.988
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.9643 1.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.0000 0.9643 1.000 0.000
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.0376 0.9607 0.996 0.004
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.9643 1.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.0000 0.9643 1.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 2 0.8713 0.6620 0.292 0.708
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.0000 0.9317 0.000 1.000
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.9643 1.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.9643 1.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.9317 0.000 1.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.9643 1.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.9317 0.000 1.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.9643 1.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0000 0.9643 1.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0000 0.9643 1.000 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 1 0.8499 0.6431 0.724 0.276
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 1 0.9896 0.2667 0.560 0.440
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.9317 0.000 1.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0000 0.9643 1.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.9317 0.000 1.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.0000 0.9643 1.000 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.9317 0.000 1.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 2 0.4562 0.8913 0.096 0.904
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.9317 0.000 1.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 2 0.8813 0.6480 0.300 0.700
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 2 0.7219 0.7902 0.200 0.800
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.9317 0.000 1.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0000 0.9317 0.000 1.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 2 0.4939 0.8830 0.108 0.892
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.9317 0.000 1.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.9643 1.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.4562 0.8913 0.096 0.904
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.9643 1.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.9643 1.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.9643 1.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.9317 0.000 1.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 2 0.5408 0.8702 0.124 0.876
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.9317 0.000 1.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.9643 1.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 2 0.9248 0.5750 0.340 0.660
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 0.9317 0.000 1.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0000 0.9317 0.000 1.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0000 0.9317 0.000 1.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.4562 0.8913 0.096 0.904
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.3584 0.8995 0.932 0.068
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.9643 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.9643 1.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.9643 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.9317 0.000 1.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.9643 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.9317 0.000 1.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.9643 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.9317 0.000 1.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0000 0.9317 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.9643 1.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.9643 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.3274 0.9082 0.060 0.940
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.9643 1.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.9317 0.000 1.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.9643 1.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.4562 0.8913 0.096 0.904
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.9643 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.7219 0.7564 0.800 0.200
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.9732 0.3684 0.596 0.404
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9643 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.4562 0.8913 0.096 0.904
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.4562 0.8913 0.096 0.904
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.9643 1.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.9317 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.9643 1.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.9317 0.000 1.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.9317 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.4815 0.8859 0.104 0.896
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.9317 0.000 1.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.4562 0.8913 0.096 0.904
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.9643 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.9643 1.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.9643 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.9317 0.000 1.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 2 0.9710 0.4432 0.400 0.600
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.9317 0.000 1.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.9643 1.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.9643 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.9317 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.9550 0.000 1.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.0475 0.9643 0.992 0.004 0.004
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.1753 0.9099 0.000 0.952 0.048
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.9707 1.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0000 0.9707 1.000 0.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.4887 0.6966 0.772 0.000 0.228
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.4452 0.7725 0.192 0.000 0.808
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.8937 0.3443 0.308 0.540 0.152
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.9550 0.000 1.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.9707 1.000 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9550 0.000 1.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.4968 0.7465 0.800 0.188 0.012
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.9550 0.000 1.000 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.6307 0.0397 0.512 0.000 0.488
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9707 1.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.9707 1.000 0.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0000 0.9707 1.000 0.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.9550 0.000 1.000 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.0000 0.9707 1.000 0.000 0.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.9707 1.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 3 0.0237 0.9279 0.000 0.004 0.996
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.3686 0.8189 0.860 0.140 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0000 0.9306 0.000 0.000 1.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.9707 1.000 0.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.9550 0.000 1.000 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9707 1.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.6126 0.3353 0.400 0.600 0.000
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 3 0.0424 0.9254 0.000 0.008 0.992
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0000 0.9707 1.000 0.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.9550 0.000 1.000 0.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.0000 0.9707 1.000 0.000 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.9707 1.000 0.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.9707 1.000 0.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.3619 0.8268 0.136 0.000 0.864
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9707 1.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.4399 0.7772 0.188 0.000 0.812
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.2448 0.8952 0.924 0.076 0.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.4452 0.7536 0.808 0.000 0.192
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.9707 1.000 0.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.9707 1.000 0.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.9550 0.000 1.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9550 0.000 1.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.9707 1.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.9707 1.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.9707 1.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.9707 1.000 0.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0000 0.9306 0.000 0.000 1.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.9550 0.000 1.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.9550 0.000 1.000 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.9707 1.000 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.9550 0.000 1.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.9707 1.000 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.9550 0.000 1.000 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.9550 0.000 1.000 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.9306 0.000 0.000 1.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0000 0.9550 0.000 1.000 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.9707 1.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.9707 1.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.0000 0.9550 0.000 1.000 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.9550 0.000 1.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.4931 0.7204 0.232 0.000 0.768
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.9707 1.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.9550 0.000 1.000 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.5678 0.5147 0.000 0.684 0.316
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.9550 0.000 1.000 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0000 0.9306 0.000 0.000 1.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.0000 0.9550 0.000 1.000 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0000 0.9306 0.000 0.000 1.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.0000 0.9550 0.000 1.000 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 1 0.4504 0.7466 0.804 0.196 0.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.9550 0.000 1.000 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.0000 0.9306 0.000 0.000 1.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.0000 0.9707 1.000 0.000 0.000
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0000 0.9707 1.000 0.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.9550 0.000 1.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.9306 0.000 0.000 1.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.9550 0.000 1.000 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.3038 0.8639 0.896 0.104 0.000
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0000 0.9707 1.000 0.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0000 0.9707 1.000 0.000 0.000
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#> BC33369C-A31C-4AC0-80C8-115C3EA0ACAA 1 0.0000 0.9707 1.000 0.000 0.000
#> CD8175A9-2AC3-440B-B1F4-F6E96DE38E40 3 0.5016 0.7088 0.240 0.000 0.760
#> D2AE6D2B-8720-4381-9CDA-8555C37230F5 3 0.0000 0.9306 0.000 0.000 1.000
#> A3DBF047-C112-47D2-B192-87B2FD3C8694 3 0.0000 0.9306 0.000 0.000 1.000
#> 79E4E984-163D-43D9-B289-50C0D64A79C2 1 0.0000 0.9707 1.000 0.000 0.000
#> FFA0A012-76C8-4AD5-985D-27CEBD96FBC3 1 0.6308 0.0150 0.508 0.492 0.000
#> 839A5A2D-0447-4D06-B910-8500BF600E3E 2 0.0000 0.9550 0.000 1.000 0.000
#> CE775B7C-06CA-490B-922C-73A1E3EF34CA 1 0.0000 0.9707 1.000 0.000 0.000
#> 5D52CC4F-7BCA-491E-AE85-0719B30D121E 1 0.0000 0.9707 1.000 0.000 0.000
#> 5F16D2A6-BDD1-40FE-A34D-9C65D067EFEC 3 0.0000 0.9306 0.000 0.000 1.000
#> B76BA504-E72D-4243-8401-D9F12757B57D 1 0.0000 0.9707 1.000 0.000 0.000
#> 287690D7-7F42-4861-A884-98D5A7A4D18F 2 0.0000 0.9550 0.000 1.000 0.000
#> D1D1649A-7437-4F25-B86E-786A25B0ECBE 1 0.0000 0.9707 1.000 0.000 0.000
#> DAF737C4-DF51-4C8C-B263-91B00B09D8FC 1 0.0000 0.9707 1.000 0.000 0.000
#> A30417A9-2D50-4723-842A-45463DB534AD 1 0.0000 0.9707 1.000 0.000 0.000
#> 0B840B00-AFF7-4D0E-9815-FA2A893294C6 1 0.0000 0.9707 1.000 0.000 0.000
#> 32FC134E-6424-4517-9B0C-B2E487542EC3 1 0.0000 0.9707 1.000 0.000 0.000
#> 85363C3B-1793-4B41-8015-C5450C1D5428 1 0.0000 0.9707 1.000 0.000 0.000
#> A8574381-5644-4F7A-BDD7-C579A6398B70 2 0.0000 0.9550 0.000 1.000 0.000
#> 85BCE632-72B2-475A-8FE0-F045051B3CE5 1 0.0000 0.9707 1.000 0.000 0.000
#> 9972E418-EFEC-4AA6-AA83-98D79D74DFB4 1 0.0000 0.9707 1.000 0.000 0.000
#> 3F9403BF-0B47-40E4-8709-9DB0D218E607 1 0.0000 0.9707 1.000 0.000 0.000
#> E9595675-4155-43BB-8E68-FC59D55C62E6 1 0.0000 0.9707 1.000 0.000 0.000
#> 4B6DDD8E-AB89-4C9D-8D48-AD81B8FB4A31 3 0.1289 0.9082 0.000 0.032 0.968
#> EEDFA1F7-26D8-426A-93F5-43CCF0B3CF59 2 0.0000 0.9550 0.000 1.000 0.000
#> 2C26486A-A737-4B2F-9D98-28A700081CDA 2 0.0000 0.9550 0.000 1.000 0.000
#> 458FCE33-422D-4C4C-A9CF-ABFED8B19D4A 2 0.0000 0.9550 0.000 1.000 0.000
#> A66FCDA9-6775-4052-94C4-12E173DF4084 1 0.0000 0.9707 1.000 0.000 0.000
#> E3F52C71-F558-47C7-B956-BC79F98EFD5D 3 0.0000 0.9306 0.000 0.000 1.000
#> 82C75B87-33D1-4317-AC48-7043A3D677EC 3 0.0000 0.9306 0.000 0.000 1.000
#> E4DB5591-7C73-4792-B86F-3B2FB59C66BD 2 0.0000 0.9550 0.000 1.000 0.000
#> FEF62FF9-F25E-49A7-B1E4-84099D13A309 3 0.5706 0.5251 0.000 0.320 0.680
#> 3D6CE155-4E02-4739-A8C9-30981EA9B0B1 1 0.0000 0.9707 1.000 0.000 0.000
#> 0A3AB174-07D0-4396-A6C5-9ECEEBE8651C 1 0.0000 0.9707 1.000 0.000 0.000
#> 86ACC3DD-A9E8-4FDA-ACF9-33175CE06629 1 0.0000 0.9707 1.000 0.000 0.000
#> A3150223-5399-4CC6-90A7-6046F39FAC3E 2 0.0000 0.9550 0.000 1.000 0.000
#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 1 0.0000 0.9707 1.000 0.000 0.000
#> 99D8A9E2-773C-4142-9A93-5F749961F712 1 0.0000 0.9707 1.000 0.000 0.000
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 3 0.0000 0.9306 0.000 0.000 1.000
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 1 0.0000 0.9707 1.000 0.000 0.000
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 3 0.0000 0.9306 0.000 0.000 1.000
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 1 0.0000 0.9707 1.000 0.000 0.000
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 2 0.0000 0.9550 0.000 1.000 0.000
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 2 0.0000 0.9550 0.000 1.000 0.000
#> 14003AA2-81B6-4143-98AD-124903BAE56B 1 0.0000 0.9707 1.000 0.000 0.000
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.0000 0.9707 1.000 0.000 0.000
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0000 0.9550 0.000 1.000 0.000
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.0000 0.9550 0.000 1.000 0.000
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.0000 0.9550 0.000 1.000 0.000
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 2 0.3879 0.7938 0.000 0.848 0.152
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 2 0.6045 0.3860 0.380 0.620 0.000
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.0000 0.9707 1.000 0.000 0.000
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0000 0.9707 1.000 0.000 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 3 0.0000 0.9306 0.000 0.000 1.000
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.0000 0.9306 0.000 0.000 1.000
#> 420503AA-3799-4816-BEEC-0B4D05988D38 3 0.2448 0.8682 0.000 0.076 0.924
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0000 0.9707 1.000 0.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.9707 1.000 0.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.0000 0.9550 0.000 1.000 0.000
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0000 0.9707 1.000 0.000 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0000 0.9707 1.000 0.000 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.6302 0.0507 0.000 0.520 0.480
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 2 0.0000 0.9550 0.000 1.000 0.000
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 3 0.1860 0.8914 0.000 0.052 0.948
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.9550 0.000 1.000 0.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.9550 0.000 1.000 0.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.0000 0.9707 1.000 0.000 0.000
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.0000 0.9550 0.000 1.000 0.000
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 3 0.0000 0.9306 0.000 0.000 1.000
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0000 0.9550 0.000 1.000 0.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 3 0.6280 0.1575 0.000 0.460 0.540
#> B822A426-98C1-4976-9FC2-16347992AD78 3 0.0237 0.9281 0.004 0.000 0.996
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.9550 0.000 1.000 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0000 0.9707 1.000 0.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.9550 0.000 1.000 0.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.0000 0.9306 0.000 0.000 1.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.0000 0.9550 0.000 1.000 0.000
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.0000 0.9306 0.000 0.000 1.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.0000 0.9550 0.000 1.000 0.000
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.0000 0.9707 1.000 0.000 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.0000 0.9550 0.000 1.000 0.000
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.0000 0.9550 0.000 1.000 0.000
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0000 0.9550 0.000 1.000 0.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.0000 0.9550 0.000 1.000 0.000
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 3 0.0000 0.9306 0.000 0.000 1.000
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.4555 0.7626 0.200 0.000 0.800
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.9550 0.000 1.000 0.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 2 0.6267 0.1795 0.452 0.548 0.000
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.0000 0.9707 1.000 0.000 0.000
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.8408 0.4843 0.244 0.612 0.144
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.9707 1.000 0.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.0000 0.9707 1.000 0.000 0.000
#> 197E34CA-EF43-495C-8AA4-858982333429 2 0.6168 0.3052 0.412 0.588 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.9707 1.000 0.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.0000 0.9707 1.000 0.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.0237 0.9672 0.996 0.000 0.004
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.6008 0.3841 0.000 0.628 0.372
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.9707 1.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.9707 1.000 0.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.9550 0.000 1.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.9707 1.000 0.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.9550 0.000 1.000 0.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.9707 1.000 0.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0000 0.9707 1.000 0.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0000 0.9707 1.000 0.000 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.6244 0.2177 0.440 0.560 0.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.0000 0.9550 0.000 1.000 0.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.9550 0.000 1.000 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0000 0.9707 1.000 0.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.9550 0.000 1.000 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.0000 0.9707 1.000 0.000 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.9550 0.000 1.000 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.9306 0.000 0.000 1.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.9550 0.000 1.000 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 1 0.4346 0.7521 0.816 0.000 0.184
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.5471 0.7761 0.812 0.128 0.060
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.9550 0.000 1.000 0.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.1411 0.9220 0.000 0.964 0.036
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.0000 0.9306 0.000 0.000 1.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.9550 0.000 1.000 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.9707 1.000 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.9306 0.000 0.000 1.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.9707 1.000 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.9707 1.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.9707 1.000 0.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.9550 0.000 1.000 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.5237 0.7930 0.824 0.120 0.056
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.9550 0.000 1.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.9707 1.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.0000 0.9306 0.000 0.000 1.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 3 0.4842 0.6938 0.000 0.224 0.776
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.4291 0.7551 0.000 0.180 0.820
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.3412 0.8223 0.000 0.124 0.876
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.9306 0.000 0.000 1.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.4121 0.7851 0.832 0.168 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.9707 1.000 0.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.9707 1.000 0.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.9707 1.000 0.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 3 0.0000 0.9306 0.000 0.000 1.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.9707 1.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.9550 0.000 1.000 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.9707 1.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.9550 0.000 1.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.0000 0.9306 0.000 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0237 0.9673 0.996 0.000 0.004
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.9707 1.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.9306 0.000 0.000 1.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.9707 1.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.9550 0.000 1.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.9707 1.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.9306 0.000 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.9707 1.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.5529 0.5757 0.704 0.296 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.0000 0.9550 0.000 1.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9707 1.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0000 0.9306 0.000 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.9306 0.000 0.000 1.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.9707 1.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.9550 0.000 1.000 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.9707 1.000 0.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.9550 0.000 1.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.9550 0.000 1.000 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 3 0.0000 0.9306 0.000 0.000 1.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.9550 0.000 1.000 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.9306 0.000 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.9707 1.000 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.9707 1.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.9707 1.000 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.9550 0.000 1.000 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.6244 0.2848 0.440 0.000 0.560
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.9550 0.000 1.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.9707 1.000 0.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.9707 1.000 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.9550 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.3688 0.70544 0.208 0.000 0.000 0.792
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.4995 0.75398 0.000 0.720 0.032 0.248
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.4776 0.37008 0.376 0.000 0.624 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.5126 0.18470 0.444 0.000 0.552 0.004
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 4 0.8620 -0.17331 0.044 0.268 0.244 0.444
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.4040 0.78060 0.000 0.752 0.000 0.248
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.4961 0.49292 0.448 0.000 0.000 0.552
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.5061 0.59493 0.048 0.004 0.196 0.752
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.4040 0.78060 0.000 0.752 0.000 0.248
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.4761 0.41217 0.372 0.000 0.628 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0336 0.85387 0.992 0.008 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.4941 0.51560 0.436 0.000 0.000 0.564
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.4040 0.71097 0.248 0.000 0.000 0.752
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.4040 0.78060 0.000 0.752 0.000 0.248
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 4 0.4730 -0.05558 0.000 0.000 0.364 0.636
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.3801 0.55533 0.780 0.220 0.000 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.4989 0.43587 0.472 0.000 0.000 0.528
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.4040 0.78060 0.000 0.752 0.000 0.248
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.4134 0.55753 0.000 0.260 0.000 0.740
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.4008 0.52253 0.000 0.000 0.244 0.756
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.2760 0.83897 0.000 0.872 0.000 0.128
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.7156 0.09493 0.492 0.000 0.140 0.368
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.4998 -0.33239 0.512 0.000 0.000 0.488
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.4817 0.58789 0.388 0.000 0.000 0.612
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.5440 0.68229 0.160 0.000 0.736 0.104
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.7091 0.57156 0.188 0.000 0.564 0.248
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.4955 0.18048 0.556 0.444 0.000 0.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.6915 0.24501 0.592 0.000 0.196 0.212
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.4222 0.43194 0.728 0.000 0.000 0.272
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.4040 0.71097 0.248 0.000 0.000 0.752
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 4 0.4585 0.65183 0.332 0.000 0.000 0.668
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.4040 0.71097 0.248 0.000 0.000 0.752
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.4040 0.78060 0.000 0.752 0.000 0.248
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.2469 0.74308 0.892 0.000 0.000 0.108
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0921 0.86914 0.000 0.972 0.000 0.028
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.3764 0.68095 0.000 0.784 0.000 0.216
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.4746 0.39921 0.368 0.000 0.632 0.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.3907 0.79011 0.000 0.768 0.000 0.232
#> D6654189-0570-4603-8C92-3032F2CF7EF3 4 0.4656 0.59718 0.000 0.160 0.056 0.784
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.5256 0.65726 0.072 0.172 0.004 0.752
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0469 0.87294 0.000 0.988 0.000 0.012
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.4961 0.49292 0.448 0.000 0.000 0.552
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.4756 0.64457 0.052 0.176 0.000 0.772
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.4040 0.71097 0.248 0.000 0.000 0.752
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.4624 0.22805 0.660 0.000 0.000 0.340
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.3486 0.81209 0.000 0.812 0.000 0.188
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.4040 0.78060 0.000 0.752 0.000 0.248
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.0000 0.56171 0.000 0.000 0.000 1.000
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.3311 0.79628 0.000 0.000 0.828 0.172
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.4040 0.71097 0.248 0.000 0.000 0.752
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.4040 0.78060 0.000 0.752 0.000 0.248
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 4 0.4222 0.69916 0.272 0.000 0.000 0.728
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 4 0.3400 0.69841 0.180 0.000 0.000 0.820
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.4907 -0.09049 0.580 0.000 0.000 0.420
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.4382 0.36690 0.704 0.000 0.000 0.296
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 4 0.4624 0.64383 0.340 0.000 0.000 0.660
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.5026 0.72233 0.000 0.672 0.016 0.312
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.3569 0.59988 0.804 0.000 0.000 0.196
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 4 0.4941 0.29266 0.000 0.436 0.000 0.564
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.2814 0.77859 0.000 0.868 0.000 0.132
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 3 0.4244 0.78932 0.032 0.000 0.800 0.168
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 4 0.0000 0.56171 0.000 0.000 0.000 1.000
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 3 0.1743 0.83908 0.004 0.000 0.940 0.056
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 4 0.4040 0.71097 0.248 0.000 0.000 0.752
#> B54317C9-8704-42A6-BE96-E12855874596 2 0.6957 0.14788 0.000 0.472 0.416 0.112
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 3 0.5543 0.29902 0.020 0.000 0.556 0.424
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> A6177818-114B-437B-9928-A6747A788109 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> E7064800-48FD-492A-A074-84A0B2452445 1 0.4040 0.54070 0.752 0.000 0.248 0.000
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.3074 0.83023 0.000 0.848 0.000 0.152
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.0817 0.86993 0.000 0.976 0.000 0.024
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 4 0.4996 0.40335 0.484 0.000 0.000 0.516
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 4 0.4961 0.49292 0.448 0.000 0.000 0.552
#> EB235E9A-E453-4108-AD4F-31260F4340A6 4 0.4188 0.71088 0.244 0.000 0.004 0.752
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 1 0.1022 0.83239 0.968 0.000 0.000 0.032
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 3 0.5323 0.40662 0.352 0.000 0.628 0.020
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 1 0.0817 0.84058 0.976 0.000 0.000 0.024
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 1 0.3837 0.54428 0.776 0.000 0.000 0.224
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 3 0.0336 0.84973 0.008 0.000 0.992 0.000
#> 94128D59-A5BB-4460-A671-5E1571726C4D 2 0.6922 0.57546 0.168 0.584 0.000 0.248
#> 12BE2E3A-1B57-4EEE-B130-E70B6BE5A96B 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 66600553-0E68-405C-81A3-4064DA18737D 3 0.0188 0.85304 0.000 0.000 0.996 0.004
#> C65B6272-DD2B-4075-963B-746F8904B395 2 0.4040 0.78060 0.000 0.752 0.000 0.248
#> EC7F0653-0AC0-47AF-A6A2-0475E149065F 1 0.7417 0.02326 0.508 0.000 0.284 0.208
#> 3EEB805B-3DC3-47AD-9D83-672D39333B8F 2 0.7176 0.21816 0.252 0.552 0.000 0.196
#> ECC99215-F4FB-40D3-A44D-549D681F0CAD 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> ED242FAE-14D1-4804-9C96-281197D485A4 3 0.6111 0.54614 0.000 0.256 0.652 0.092
#> 3BB9FC05-3230-4C65-9259-ED8FE65AD473 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 57C51F55-9F3A-44F0-99DB-EE3557C04373 4 0.4955 0.50082 0.444 0.000 0.000 0.556
#> 90F8EB31-A33C-4434-90FC-B6721774D68C 3 0.3528 0.66558 0.192 0.000 0.808 0.000
#> 6516F0BC-00E2-40E6-9B9D-420F0DA30FA5 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 0CCE788F-74E5-4562-82EA-EB39912298E4 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 1B2E1531-7C1F-4BAF-BC45-42425B7B8891 3 0.4103 0.75375 0.000 0.000 0.744 0.256
#> 1CA3C03E-20A1-401E-BE97-12D0E506AFB8 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> C3C5472C-21A7-4F22-AEE7-514902873770 3 0.4040 0.75741 0.000 0.000 0.752 0.248
#> 63351C27-1DF5-45FD-A08F-6AD2B2AF8BBF 1 0.4888 -0.05952 0.588 0.000 0.000 0.412
#> E6982FF2-C754-4998-8C38-83CAA07151B4 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 2F3FD524-6F59-46C0-99FA-6CAA0C423061 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 1956427F-FBE0-46C9-BCB2-28CFFB4E3169 3 0.1474 0.82055 0.052 0.000 0.948 0.000
#> F12BD7C5-699C-4F80-B02C-CFA9D8BBD99C 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> ED8A6EE1-399E-444C-BEA5-1B32AAF46334 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> F0E550CA-CB04-4202-9AEA-EAE1C295EB6E 4 0.4040 0.71097 0.248 0.000 0.000 0.752
#> 80F493DC-D202-4FB0-803B-3A4FA2C85824 4 0.1637 0.50436 0.000 0.000 0.060 0.940
#> 54539B90-4EEC-4579-89F4-5EFC4FB4CC51 4 0.4250 0.69665 0.276 0.000 0.000 0.724
#> BB8A3F9E-830A-45E2-A1EC-50020C63A7C9 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> B387E79E-742F-418B-8AAB-0C721218A7D2 3 0.4040 0.75741 0.000 0.000 0.752 0.248
#> 69D6650D-0188-4FA7-B934-3FC0D36F9CAA 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 910A82C8-4FE3-42E3-AF3E-FB94908018B2 1 0.0000 0.86226 1.000 0.000 0.000 0.000
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#> B822A426-98C1-4976-9FC2-16347992AD78 3 0.2282 0.80644 0.024 0.000 0.924 0.052
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.4040 0.78060 0.000 0.752 0.000 0.248
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.4790 0.59830 0.380 0.000 0.000 0.620
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.4977 0.00536 0.000 0.540 0.000 0.460
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.2408 0.78705 0.000 0.896 0.000 0.104
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.1637 0.86047 0.000 0.940 0.000 0.060
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.0188 0.87302 0.000 0.996 0.000 0.004
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 3 0.4040 0.75741 0.000 0.000 0.752 0.248
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.3610 0.65821 0.200 0.000 0.800 0.000
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.4040 0.78060 0.000 0.752 0.000 0.248
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.5000 -0.03703 0.504 0.496 0.000 0.000
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.4040 0.53332 0.752 0.000 0.000 0.248
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.6955 0.60831 0.008 0.604 0.140 0.248
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.4040 0.71097 0.248 0.000 0.000 0.752
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.4939 0.52942 0.740 0.040 0.000 0.220
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 4 0.4040 0.71097 0.248 0.000 0.000 0.752
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 4 0.4040 0.71097 0.248 0.000 0.000 0.752
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.0657 0.84928 0.984 0.000 0.012 0.004
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.4933 0.20673 0.000 0.568 0.432 0.000
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 4 0.4961 0.49292 0.448 0.000 0.000 0.552
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.4955 0.50073 0.444 0.000 0.000 0.556
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.1474 0.86279 0.000 0.948 0.000 0.052
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0336 0.85429 0.992 0.000 0.000 0.008
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.3942 0.55813 0.764 0.000 0.236 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.4040 0.56818 0.000 0.248 0.000 0.752
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 4 0.4661 0.63470 0.348 0.000 0.000 0.652
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.4040 0.78060 0.000 0.752 0.000 0.248
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.4961 0.49292 0.448 0.000 0.000 0.552
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.4040 0.78060 0.000 0.752 0.000 0.248
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0336 0.87153 0.000 0.992 0.008 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 4 0.5883 0.51904 0.300 0.000 0.060 0.640
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.9688 -0.22954 0.328 0.164 0.316 0.192
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.1022 0.86782 0.000 0.968 0.000 0.032
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.4706 0.76466 0.000 0.732 0.020 0.248
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.2530 0.76674 0.112 0.000 0.888 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.3907 0.52682 0.768 0.000 0.000 0.232
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.4040 0.78060 0.000 0.752 0.000 0.248
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.7928 0.33093 0.588 0.188 0.156 0.068
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 3 0.4961 0.58633 0.000 0.000 0.552 0.448
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.4961 0.58633 0.000 0.000 0.552 0.448
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.4961 0.58633 0.000 0.000 0.552 0.448
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.4932 0.59459 0.032 0.240 0.000 0.728
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.5000 -0.36847 0.500 0.000 0.000 0.500
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.1118 0.82848 0.964 0.000 0.000 0.036
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.4967 -0.20995 0.548 0.000 0.000 0.452
#> D316C207-8020-47A7-8C2D-753CF42223B5 3 0.4040 0.75741 0.000 0.000 0.752 0.248
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.4040 0.78060 0.000 0.752 0.000 0.248
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.4040 0.75741 0.000 0.000 0.752 0.248
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0188 0.85859 0.996 0.000 0.004 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 2 0.6757 0.31275 0.308 0.572 0.000 0.120
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 4 0.4643 0.38164 0.000 0.000 0.344 0.656
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.4072 0.77848 0.000 0.748 0.000 0.252
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0188 0.85836 0.996 0.000 0.000 0.004
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.87470 0.000 1.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.4040 0.78060 0.000 0.752 0.000 0.248
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 3 0.3311 0.79635 0.000 0.000 0.828 0.172
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.4866 0.63672 0.000 0.596 0.000 0.404
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.85385 0.000 0.000 1.000 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.4040 0.71097 0.248 0.000 0.000 0.752
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.86226 1.000 0.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.4933 0.52198 0.432 0.000 0.000 0.568
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 4 0.4985 -0.43668 0.000 0.468 0.000 0.532
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.4839 0.57431 0.756 0.000 0.200 0.044
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.1637 0.86060 0.000 0.940 0.000 0.060
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.4967 0.48406 0.452 0.000 0.000 0.548
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.4040 0.71097 0.248 0.000 0.000 0.752
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.2081 0.85433 0.000 0.916 0.000 0.084
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.1544 0.85523 0.000 0.932 0.000 0.000 0.068
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.2280 0.72456 0.000 0.000 0.000 0.880 0.120
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.3210 0.76427 0.000 0.212 0.000 0.000 0.788
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0290 0.88250 0.992 0.000 0.000 0.008 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.3210 0.77223 0.788 0.000 0.000 0.212 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.6157 0.34401 0.220 0.000 0.560 0.220 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 5 0.6835 0.13126 0.336 0.000 0.008 0.220 0.436
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 5 0.4064 0.74185 0.000 0.092 0.000 0.116 0.792
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.3210 0.76427 0.000 0.212 0.000 0.000 0.788
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.2230 0.75810 0.116 0.000 0.000 0.884 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0162 0.88796 0.000 0.996 0.000 0.000 0.004
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.3210 0.71745 0.000 0.000 0.000 0.788 0.212
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.3305 0.75664 0.000 0.224 0.000 0.000 0.776
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.3410 0.74109 0.092 0.000 0.840 0.068 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.2522 0.78208 0.880 0.108 0.000 0.000 0.012
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.2389 0.75762 0.116 0.000 0.000 0.880 0.004
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.3210 0.71745 0.000 0.000 0.000 0.788 0.212
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.3210 0.76427 0.000 0.212 0.000 0.000 0.788
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.0000 0.88420 1.000 0.000 0.000 0.000 0.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.88420 1.000 0.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 5 0.5824 0.27443 0.000 0.004 0.084 0.392 0.520
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.2179 0.77688 0.888 0.112 0.000 0.000 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0000 0.87373 0.000 0.000 1.000 0.000 0.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.2561 0.74262 0.144 0.000 0.000 0.856 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.3210 0.76427 0.000 0.212 0.000 0.000 0.788
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.88420 1.000 0.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.3883 0.71140 0.000 0.036 0.000 0.780 0.184
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.3630 0.71735 0.000 0.000 0.016 0.780 0.204
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.1671 0.85933 0.924 0.000 0.000 0.076 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.3816 0.49365 0.000 0.696 0.000 0.000 0.304
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 5 0.5256 0.54662 0.116 0.000 0.000 0.212 0.672
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.3074 0.69199 0.196 0.000 0.000 0.804 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.2074 0.76209 0.104 0.000 0.000 0.896 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 5 0.6121 0.34998 0.132 0.000 0.004 0.320 0.544
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.88420 1.000 0.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 5 0.4337 0.68718 0.008 0.004 0.052 0.156 0.780
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.3652 0.77438 0.784 0.012 0.000 0.200 0.004
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.6731 0.13645 0.304 0.000 0.280 0.416 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.3999 0.44110 0.344 0.000 0.000 0.656 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0000 0.76714 0.000 0.000 0.000 1.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0162 0.88709 0.000 0.996 0.000 0.000 0.004
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.88896 0.000 1.000 0.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 4 0.4042 0.73264 0.032 0.000 0.000 0.756 0.212
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.88420 1.000 0.000 0.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.2074 0.84393 0.896 0.000 0.000 0.104 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.0794 0.76895 0.000 0.000 0.000 0.972 0.028
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0000 0.87373 0.000 0.000 1.000 0.000 0.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.88896 0.000 1.000 0.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.3210 0.76427 0.000 0.212 0.000 0.000 0.788
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.3274 0.76381 0.780 0.000 0.000 0.220 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.88896 0.000 1.000 0.000 0.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.3399 0.69762 0.812 0.000 0.000 0.168 0.020
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.88896 0.000 1.000 0.000 0.000 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.88896 0.000 1.000 0.000 0.000 0.000
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#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.1908 0.81903 0.908 0.000 0.092 0.000 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.3696 0.70981 0.000 0.016 0.000 0.772 0.212
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.1792 0.84451 0.000 0.916 0.000 0.000 0.084
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.88896 0.000 1.000 0.000 0.000 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 4 0.3906 0.76257 0.068 0.000 0.000 0.800 0.132
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.3210 0.76427 0.000 0.212 0.000 0.000 0.788
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.2280 0.75876 0.120 0.000 0.000 0.880 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 5 0.3949 0.64324 0.000 0.332 0.000 0.000 0.668
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.87373 0.000 0.000 1.000 0.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.3081 0.74133 0.000 0.832 0.156 0.000 0.012
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 4 0.3966 0.42588 0.000 0.000 0.000 0.664 0.336
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 5 0.4333 0.50758 0.352 0.000 0.004 0.004 0.640
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.2516 0.79317 0.000 0.860 0.000 0.000 0.140
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 5 0.3944 0.76758 0.000 0.160 0.000 0.052 0.788
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.4300 0.15688 0.524 0.000 0.476 0.000 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.88896 0.000 1.000 0.000 0.000 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.88420 1.000 0.000 0.000 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.87373 0.000 0.000 1.000 0.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 4 0.4210 0.25514 0.412 0.000 0.000 0.588 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.88420 1.000 0.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.3274 0.76381 0.780 0.000 0.000 0.220 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.3837 0.67475 0.000 0.308 0.000 0.000 0.692
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.6230 0.04791 0.516 0.080 0.012 0.008 0.384
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0162 0.88754 0.004 0.996 0.000 0.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.88420 1.000 0.000 0.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.5090 0.52651 0.104 0.000 0.688 0.208 0.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.4501 0.62910 0.000 0.000 0.128 0.116 0.756
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.4545 0.62556 0.000 0.000 0.132 0.116 0.752
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.4501 0.62910 0.000 0.000 0.128 0.116 0.756
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.87373 0.000 0.000 1.000 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.4836 0.66676 0.000 0.096 0.000 0.716 0.188
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.3003 0.70060 0.188 0.000 0.000 0.812 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.3480 0.72909 0.752 0.000 0.000 0.248 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.3274 0.66539 0.220 0.000 0.000 0.780 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.3210 0.66421 0.000 0.000 0.212 0.000 0.788
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.88420 1.000 0.000 0.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.3274 0.75932 0.000 0.220 0.000 0.000 0.780
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0963 0.87429 0.964 0.000 0.000 0.036 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0162 0.88796 0.000 0.996 0.000 0.000 0.004
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.3816 0.57028 0.000 0.000 0.304 0.000 0.696
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.1197 0.84812 0.952 0.000 0.048 0.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.1121 0.87118 0.956 0.000 0.000 0.044 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.87373 0.000 0.000 1.000 0.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.88420 1.000 0.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.88896 0.000 1.000 0.000 0.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.88420 1.000 0.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.87373 0.000 0.000 1.000 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.88420 1.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 2 0.4111 0.73454 0.120 0.788 0.000 0.000 0.092
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.3641 0.76045 0.000 0.820 0.000 0.060 0.120
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.88420 1.000 0.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 4 0.4923 0.52891 0.000 0.000 0.252 0.680 0.068
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.87373 0.000 0.000 1.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.88420 1.000 0.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.3210 0.76427 0.000 0.212 0.000 0.000 0.788
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.3994 0.76691 0.772 0.000 0.000 0.188 0.040
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.88896 0.000 1.000 0.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.3143 0.76553 0.000 0.204 0.000 0.000 0.796
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.4297 0.24442 0.000 0.000 0.472 0.000 0.528
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.3210 0.76427 0.000 0.212 0.000 0.000 0.788
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.87373 0.000 0.000 1.000 0.000 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0000 0.76714 0.000 0.000 0.000 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.88420 1.000 0.000 0.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.3657 0.77178 0.116 0.000 0.000 0.820 0.064
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.4307 0.71673 0.000 0.128 0.000 0.100 0.772
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.3578 0.77371 0.784 0.000 0.008 0.204 0.004
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.3452 0.61218 0.000 0.756 0.000 0.000 0.244
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.2471 0.74844 0.136 0.000 0.000 0.864 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.2230 0.75248 0.000 0.000 0.000 0.884 0.116
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.4744 0.10641 0.000 0.572 0.000 0.020 0.408
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0436 0.88278 0.004 0.988 0.000 0.004 0.004 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 6 0.1958 0.65020 0.000 0.000 0.000 0.004 0.100 0.896
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.0458 0.77244 0.000 0.016 0.000 0.000 0.984 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0291 0.91115 0.992 0.000 0.000 0.004 0.000 0.004
#> 0797DC35-6243-451D-9653-9649D390C0F4 6 0.3309 0.67419 0.280 0.000 0.000 0.000 0.000 0.720
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 6 0.0405 0.72283 0.008 0.000 0.000 0.004 0.000 0.988
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 6 0.0260 0.72190 0.008 0.000 0.000 0.000 0.000 0.992
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 5 0.3446 0.59312 0.000 0.000 0.000 0.000 0.692 0.308
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.2088 0.74858 0.000 0.028 0.000 0.000 0.904 0.068
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.3999 -0.17304 0.004 0.000 0.000 0.500 0.000 0.496
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0146 0.88613 0.000 0.996 0.000 0.000 0.004 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.0146 0.84122 0.000 0.004 0.000 0.996 0.000 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.4169 0.01777 0.000 0.456 0.000 0.000 0.532 0.012
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 6 0.3758 0.27296 0.000 0.000 0.324 0.000 0.008 0.668
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0717 0.90143 0.976 0.016 0.000 0.008 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 6 0.0508 0.71577 0.004 0.000 0.000 0.000 0.012 0.984
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0000 0.84105 0.000 0.000 0.000 1.000 0.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.4308 0.63977 0.000 0.120 0.000 0.000 0.728 0.152
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.0436 0.90837 0.988 0.000 0.000 0.004 0.004 0.004
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0260 0.90994 0.992 0.000 0.000 0.000 0.000 0.008
#> 82341457-7386-4C56-9DAF-A8F020055685 6 0.3874 0.19048 0.000 0.000 0.000 0.008 0.356 0.636
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.3259 0.69233 0.772 0.216 0.000 0.000 0.000 0.012
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0363 0.85392 0.000 0.000 0.988 0.000 0.000 0.012
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 6 0.3863 0.63377 0.028 0.000 0.000 0.260 0.000 0.712
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.0458 0.77244 0.000 0.016 0.000 0.000 0.984 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0146 0.91224 0.996 0.000 0.000 0.000 0.000 0.004
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.0922 0.83735 0.000 0.024 0.000 0.968 0.004 0.004
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.0717 0.83753 0.000 0.000 0.016 0.976 0.008 0.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.3810 0.00976 0.572 0.000 0.000 0.000 0.000 0.428
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.5763 0.33261 0.000 0.500 0.000 0.000 0.208 0.292
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 6 0.3894 0.59316 0.020 0.000 0.000 0.004 0.268 0.708
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 6 0.3989 0.65259 0.044 0.000 0.000 0.236 0.000 0.720
#> 4AAD7B53-9AA9-404B-8888-13160458E476 6 0.3619 0.57371 0.004 0.000 0.000 0.316 0.000 0.680
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 6 0.0146 0.72022 0.004 0.000 0.000 0.000 0.000 0.996
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.91370 1.000 0.000 0.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 5 0.2558 0.67463 0.004 0.000 0.000 0.000 0.840 0.156
#> 333F9855-9462-46B8-87C8-E9B01572C101 6 0.1003 0.72756 0.028 0.004 0.000 0.000 0.004 0.964
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 6 0.1155 0.73223 0.036 0.000 0.004 0.004 0.000 0.956
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 6 0.4444 0.69495 0.184 0.000 0.000 0.108 0.000 0.708
#> 4571A92E-A240-4A6D-BC50-8971BD299287 6 0.3330 0.60964 0.000 0.000 0.000 0.284 0.000 0.716
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0458 0.88446 0.000 0.984 0.000 0.000 0.016 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0363 0.88520 0.000 0.988 0.000 0.000 0.012 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 4 0.0622 0.84021 0.012 0.000 0.000 0.980 0.000 0.008
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.91370 1.000 0.000 0.000 0.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.3126 0.59398 0.752 0.000 0.000 0.000 0.000 0.248
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 6 0.3966 0.33653 0.000 0.000 0.000 0.444 0.004 0.552
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0713 0.84312 0.028 0.000 0.972 0.000 0.000 0.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0260 0.88600 0.000 0.992 0.000 0.000 0.008 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.3558 0.63090 0.000 0.016 0.000 0.000 0.736 0.248
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 6 0.3508 0.66086 0.292 0.000 0.000 0.004 0.000 0.704
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0260 0.88561 0.000 0.992 0.000 0.000 0.008 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.2982 0.75100 0.820 0.012 0.000 0.164 0.004 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.1007 0.87033 0.000 0.956 0.000 0.000 0.044 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0665 0.88253 0.008 0.980 0.000 0.000 0.008 0.004
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.86005 0.000 0.000 1.000 0.000 0.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 4 0.3189 0.59915 0.000 0.236 0.000 0.760 0.004 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.1957 0.81060 0.888 0.000 0.000 0.000 0.000 0.112
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0146 0.91221 0.996 0.000 0.000 0.000 0.000 0.004
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.0508 0.88047 0.012 0.984 0.000 0.000 0.004 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0146 0.88618 0.000 0.996 0.000 0.000 0.004 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.4757 0.01150 0.468 0.000 0.484 0.000 0.000 0.048
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.91370 1.000 0.000 0.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 5 0.0547 0.77150 0.000 0.020 0.000 0.000 0.980 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 4 0.0260 0.84055 0.000 0.008 0.000 0.992 0.000 0.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.1007 0.87004 0.000 0.956 0.000 0.000 0.044 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0000 0.86005 0.000 0.000 1.000 0.000 0.000 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.0363 0.88271 0.012 0.988 0.000 0.000 0.000 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.1333 0.82820 0.000 0.000 0.944 0.000 0.008 0.048
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.3152 0.72687 0.000 0.792 0.000 0.004 0.196 0.008
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.0146 0.84122 0.000 0.004 0.000 0.996 0.000 0.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0363 0.88489 0.000 0.988 0.000 0.000 0.012 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.2738 0.71011 0.176 0.000 0.820 0.000 0.004 0.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.2740 0.78648 0.852 0.000 0.028 0.000 0.000 0.120
#> B945DBB3-D95A-463A-918D-057F55D29418 6 0.3555 0.61600 0.008 0.000 0.000 0.280 0.000 0.712
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0146 0.88564 0.000 0.996 0.000 0.000 0.004 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.86005 0.000 0.000 1.000 0.000 0.000 0.000
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#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 6 0.3797 0.39872 0.000 0.000 0.000 0.292 0.016 0.692
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.0458 0.77244 0.000 0.016 0.000 0.000 0.984 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.6062 0.36420 0.068 0.000 0.000 0.556 0.092 0.284
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 5 0.3854 0.14852 0.000 0.464 0.000 0.000 0.536 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.86005 0.000 0.000 1.000 0.000 0.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.5799 -0.06817 0.000 0.448 0.184 0.000 0.368 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 6 0.0458 0.71330 0.000 0.000 0.000 0.000 0.016 0.984
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.4067 0.15093 0.548 0.008 0.000 0.000 0.444 0.000
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.2933 0.72453 0.000 0.796 0.000 0.000 0.200 0.004
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 5 0.3398 0.63231 0.000 0.008 0.000 0.000 0.740 0.252
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.3023 0.62537 0.232 0.000 0.768 0.000 0.000 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.1753 0.84301 0.000 0.912 0.000 0.000 0.084 0.004
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0146 0.91165 0.996 0.000 0.000 0.004 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.86005 0.000 0.000 1.000 0.000 0.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 6 0.3426 0.67772 0.276 0.000 0.000 0.004 0.000 0.720
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.91370 1.000 0.000 0.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 6 0.3867 0.61306 0.328 0.000 0.000 0.012 0.000 0.660
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.2491 0.69084 0.000 0.164 0.000 0.000 0.836 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.6141 0.23861 0.524 0.020 0.012 0.008 0.340 0.096
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0260 0.88561 0.000 0.992 0.000 0.000 0.008 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.91370 1.000 0.000 0.000 0.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 6 0.0291 0.71864 0.004 0.000 0.000 0.000 0.004 0.992
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.3219 0.65000 0.000 0.000 0.012 0.192 0.792 0.004
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.3309 0.64861 0.000 0.000 0.016 0.192 0.788 0.004
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.3309 0.64861 0.000 0.000 0.016 0.192 0.788 0.004
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.86005 0.000 0.000 1.000 0.000 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.2149 0.78810 0.004 0.104 0.000 0.888 0.000 0.004
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 6 0.3888 0.64094 0.032 0.000 0.000 0.252 0.000 0.716
#> 56943BD9-EEDA-457A-9F18-ACC397978668 6 0.3426 0.67772 0.276 0.000 0.000 0.004 0.000 0.720
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 6 0.1010 0.73227 0.036 0.000 0.000 0.004 0.000 0.960
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.0653 0.77003 0.000 0.004 0.012 0.004 0.980 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.91370 1.000 0.000 0.000 0.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.0458 0.77244 0.000 0.016 0.000 0.000 0.984 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.3446 0.45428 0.692 0.000 0.000 0.000 0.000 0.308
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0291 0.88413 0.000 0.992 0.004 0.000 0.004 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.2941 0.63002 0.000 0.000 0.220 0.000 0.780 0.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0146 0.91175 0.996 0.000 0.004 0.000 0.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.2340 0.76284 0.852 0.000 0.000 0.000 0.000 0.148
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.86005 0.000 0.000 1.000 0.000 0.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.91370 1.000 0.000 0.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0146 0.88618 0.000 0.996 0.000 0.000 0.004 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0363 0.90811 0.988 0.000 0.000 0.000 0.000 0.012
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.86005 0.000 0.000 1.000 0.000 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.91370 1.000 0.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 2 0.5351 0.14295 0.100 0.524 0.000 0.372 0.004 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.5842 0.25164 0.000 0.448 0.000 0.000 0.196 0.356
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.91370 1.000 0.000 0.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.6181 0.46181 0.000 0.000 0.528 0.164 0.036 0.272
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.86005 0.000 0.000 1.000 0.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.91370 1.000 0.000 0.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.0458 0.77244 0.000 0.016 0.000 0.000 0.984 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.4886 0.49262 0.640 0.000 0.000 0.008 0.276 0.076
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0260 0.88600 0.000 0.992 0.000 0.000 0.008 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.0520 0.77020 0.000 0.008 0.000 0.008 0.984 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.3789 0.31717 0.000 0.000 0.416 0.000 0.584 0.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.0508 0.77145 0.000 0.012 0.000 0.004 0.984 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.86005 0.000 0.000 1.000 0.000 0.000 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 6 0.3330 0.60768 0.000 0.000 0.000 0.284 0.000 0.716
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0436 0.90827 0.988 0.004 0.000 0.004 0.004 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.1950 0.81509 0.024 0.000 0.000 0.912 0.000 0.064
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.5306 0.55486 0.000 0.004 0.000 0.132 0.596 0.268
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 6 0.0820 0.72327 0.016 0.000 0.000 0.000 0.012 0.972
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.3012 0.72639 0.000 0.796 0.000 0.000 0.196 0.008
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 6 0.0520 0.72377 0.008 0.000 0.000 0.008 0.000 0.984
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.1531 0.81456 0.000 0.000 0.000 0.928 0.004 0.068
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 5 0.5008 0.46387 0.000 0.308 0.000 0.084 0.604 0.004
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17416 rows and 433 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 0.236 0.611 0.820 0.3966 0.575 0.575
#> 3 3 0.170 0.533 0.701 0.4289 0.689 0.517
#> 4 4 0.286 0.290 0.672 0.1625 0.892 0.757
#> 5 5 0.346 0.324 0.616 0.0805 0.747 0.459
#> 6 6 0.402 0.369 0.620 0.0612 0.793 0.466
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 1 0.6247 0.7265 0.844 0.156
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.9580 0.3468 0.620 0.380
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.3879 0.7089 0.076 0.924
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.7876 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.3584 0.7854 0.932 0.068
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.5946 0.7461 0.856 0.144
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.7815 0.6625 0.768 0.232
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.9970 0.2760 0.468 0.532
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.8016 0.6738 0.244 0.756
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.7876 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 1 0.9608 0.3083 0.616 0.384
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.9491 0.3438 0.632 0.368
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.8144 0.6675 0.252 0.748
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.9552 0.3592 0.624 0.376
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.7876 1.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.4161 0.7776 0.916 0.084
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0938 0.7900 0.988 0.012
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.4815 0.7119 0.104 0.896
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.7602 0.6792 0.780 0.220
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.1414 0.7900 0.980 0.020
#> 82341457-7386-4C56-9DAF-A8F020055685 1 0.8144 0.6219 0.748 0.252
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.9922 0.0914 0.552 0.448
#> C1323790-6C24-4E54-A266-AE66588C1DD5 1 0.9661 0.3098 0.608 0.392
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.7876 1.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.4022 0.7094 0.080 0.920
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.7876 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.9358 0.3966 0.648 0.352
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 1 0.9635 0.2812 0.612 0.388
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.6438 0.7318 0.836 0.164
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 1 0.9795 0.2213 0.584 0.416
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.9491 0.3891 0.632 0.368
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.7876 1.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.7876 1.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 1 0.9580 0.3483 0.620 0.380
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.7876 1.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 1 0.9754 0.2524 0.592 0.408
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.9522 0.3779 0.628 0.372
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.3584 0.7827 0.932 0.068
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.7876 1.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.7876 1.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.9996 0.2236 0.488 0.512
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.9933 0.3527 0.452 0.548
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.7876 1.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0376 0.7885 0.996 0.004
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.7876 1.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.2043 0.7902 0.968 0.032
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.9922 0.3419 0.448 0.552
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.9922 0.3600 0.448 0.552
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.6623 0.7029 0.172 0.828
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.7876 1.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 1 0.8081 0.6258 0.752 0.248
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#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.7876 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.1633 0.7855 0.976 0.024
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0672 0.7896 0.992 0.008
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 1 0.9944 0.0394 0.544 0.456
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.9686 0.3007 0.604 0.396
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 1 0.9460 0.3829 0.636 0.364
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.5059 0.7652 0.888 0.112
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.7876 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.9970 0.2902 0.468 0.532
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 1 0.6204 0.23076 0.576 0.424 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.8827 0.38549 0.384 0.496 0.120
#> B5567E00-32AA-48D8-8087-1088C22B0994 3 0.6225 0.66095 0.000 0.432 0.568
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.5740 0.67085 0.804 0.100 0.096
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.5461 0.66429 0.768 0.216 0.016
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.7504 0.53823 0.628 0.312 0.060
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.8477 0.29523 0.524 0.380 0.096
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.9355 0.47314 0.252 0.516 0.232
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.7683 0.01194 0.064 0.608 0.328
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.5096 0.68959 0.836 0.080 0.084
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.4750 0.59809 0.216 0.784 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.8501 0.37614 0.368 0.532 0.100
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.7477 0.15649 0.068 0.648 0.284
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 2 0.8836 0.37419 0.388 0.492 0.120
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.1964 0.75635 0.944 0.056 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.6224 0.67784 0.728 0.240 0.032
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.3112 0.74248 0.900 0.096 0.004
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 3 0.6683 0.54527 0.008 0.492 0.500
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.7395 0.31072 0.580 0.380 0.040
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.3752 0.75800 0.884 0.096 0.020
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.6432 0.29869 0.428 0.568 0.004
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 2 0.8872 0.51307 0.324 0.536 0.140
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.8754 0.40567 0.376 0.508 0.116
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.1031 0.75315 0.976 0.024 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 3 0.6936 0.58471 0.016 0.460 0.524
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.5339 0.66953 0.824 0.080 0.096
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.9001 0.36682 0.332 0.520 0.148
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.8604 0.41759 0.348 0.540 0.112
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.6819 0.44498 0.644 0.328 0.028
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.8332 0.57370 0.316 0.580 0.104
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 2 0.9131 0.31238 0.396 0.460 0.144
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.1031 0.75315 0.976 0.024 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.1411 0.75439 0.964 0.036 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 2 0.8618 0.38044 0.388 0.508 0.104
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.5085 0.67738 0.836 0.072 0.092
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.9405 0.35216 0.324 0.484 0.192
#> 333F9855-9462-46B8-87C8-E9B01572C101 2 0.8998 0.32822 0.396 0.472 0.132
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.6141 0.68684 0.736 0.232 0.032
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.1031 0.75315 0.976 0.024 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.1289 0.75322 0.968 0.032 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.4859 0.54019 0.116 0.840 0.044
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.6634 0.54091 0.144 0.752 0.104
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.5339 0.66953 0.824 0.080 0.096
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.1411 0.75694 0.964 0.036 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.5500 0.66248 0.816 0.084 0.100
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.3267 0.74428 0.884 0.116 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.9489 0.44984 0.252 0.496 0.252
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.6317 0.51662 0.124 0.772 0.104
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.7681 -0.33022 0.048 0.540 0.412
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.5004 0.69188 0.840 0.072 0.088
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.6180 0.31490 0.416 0.584 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.4137 0.75560 0.872 0.096 0.032
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.7493 0.30703 0.092 0.676 0.232
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.6897 0.57175 0.292 0.668 0.040
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.5335 0.77367 0.008 0.232 0.760
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 1 0.6359 0.31226 0.592 0.404 0.004
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.3670 0.75894 0.888 0.092 0.020
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.1163 0.75549 0.972 0.028 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.6192 0.24388 0.580 0.420 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.3918 0.56710 0.140 0.856 0.004
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 1 0.7844 0.44547 0.624 0.292 0.084
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.5085 0.67738 0.836 0.072 0.092
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.7569 0.29539 0.092 0.668 0.240
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.9480 0.32182 0.236 0.496 0.268
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.6519 0.47085 0.108 0.760 0.132
#> 481EF2B5-E610-4F19-80F2-22327EE33378 1 0.8130 0.14738 0.528 0.400 0.072
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 1 0.6516 0.09362 0.516 0.480 0.004
#> 164DD212-0839-4644-8FEE-E6A07A60803B 2 0.8957 0.22528 0.152 0.536 0.312
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.4796 0.66954 0.780 0.220 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 2 0.8501 0.37614 0.368 0.532 0.100
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.4708 0.54656 0.120 0.844 0.036
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 1 0.8130 0.14738 0.528 0.400 0.072
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.7919 0.25045 0.556 0.380 0.064
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.1753 0.75675 0.952 0.048 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.6955 0.57516 0.172 0.728 0.100
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.6294 0.75560 0.020 0.288 0.692
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.6625 0.53163 0.316 0.660 0.024
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 2 0.8496 0.28432 0.416 0.492 0.092
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.1289 0.75322 0.968 0.032 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.1163 0.75531 0.972 0.028 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.6386 0.33624 0.412 0.584 0.004
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.7705 -0.00343 0.064 0.604 0.332
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 1 0.7285 0.44516 0.632 0.320 0.048
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0983 0.75164 0.980 0.016 0.004
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 2 0.9355 0.20686 0.180 0.480 0.340
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.1031 0.75060 0.976 0.024 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 2 0.9623 0.38601 0.232 0.464 0.304
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 1 0.7186 0.43259 0.624 0.336 0.040
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.3941 0.73021 0.844 0.156 0.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0747 0.75186 0.984 0.016 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.7337 0.03989 0.056 0.644 0.300
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 2 0.9333 0.43155 0.268 0.516 0.216
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 1 0.7552 0.31055 0.596 0.352 0.052
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.4228 0.73418 0.844 0.148 0.008
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.7868 0.12606 0.524 0.420 0.056
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.1031 0.75315 0.976 0.024 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.5263 0.67963 0.828 0.084 0.088
#> 7465251E-7BC8-4179-8950-4E41836CF36B 3 0.5560 0.78392 0.000 0.300 0.700
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.6556 0.61848 0.692 0.276 0.032
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.7542 0.42154 0.120 0.688 0.192
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.5058 0.63054 0.756 0.244 0.000
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.6192 0.24490 0.580 0.420 0.000
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.3267 0.71028 0.000 0.116 0.884
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 2 0.8872 0.51307 0.324 0.536 0.140
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.4654 0.59484 0.208 0.792 0.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 1 0.7263 0.33233 0.592 0.372 0.036
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.6307 0.71009 0.012 0.328 0.660
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 2 0.9268 0.38213 0.348 0.484 0.168
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.5497 0.72188 0.804 0.148 0.048
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.5339 0.66953 0.824 0.080 0.096
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 2 0.9474 0.41187 0.232 0.496 0.272
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.4047 0.74041 0.848 0.148 0.004
#> B54317C9-8704-42A6-BE96-E12855874596 2 0.9330 0.46224 0.240 0.520 0.240
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.6509 0.12325 0.524 0.472 0.004
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.5455 0.59787 0.204 0.776 0.020
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.4293 0.72287 0.832 0.164 0.004
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 2 0.8752 0.52189 0.320 0.548 0.132
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 1 0.1031 0.75315 0.976 0.024 0.000
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.6467 0.40429 0.388 0.604 0.008
#> A6177818-114B-437B-9928-A6747A788109 1 0.0747 0.75186 0.984 0.016 0.000
#> E7064800-48FD-492A-A074-84A0B2452445 1 0.8130 0.14738 0.528 0.400 0.072
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.7344 0.27481 0.080 0.680 0.240
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.5085 0.67738 0.836 0.072 0.092
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.7433 0.20365 0.072 0.660 0.268
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.6541 0.73888 0.024 0.304 0.672
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 1 0.5541 0.65902 0.740 0.252 0.008
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 1 0.1031 0.75315 0.976 0.024 0.000
#> EB235E9A-E453-4108-AD4F-31260F4340A6 1 0.8334 -0.08214 0.480 0.440 0.080
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 1 0.4629 0.70557 0.808 0.188 0.004
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 2 0.8890 0.50298 0.328 0.532 0.140
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.4232 0.70659 0.872 0.044 0.084
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 1 0.4784 0.69614 0.796 0.200 0.004
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 1 0.1031 0.75315 0.976 0.024 0.000
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 3 0.5896 0.74509 0.008 0.292 0.700
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 1 0.8130 0.14738 0.528 0.400 0.072
#> 94128D59-A5BB-4460-A671-5E1571726C4D 2 0.9120 0.46666 0.340 0.504 0.156
#> 12BE2E3A-1B57-4EEE-B130-E70B6BE5A96B 1 0.4146 0.70837 0.876 0.044 0.080
#> 66600553-0E68-405C-81A3-4064DA18737D 3 0.4974 0.78716 0.000 0.236 0.764
#> C65B6272-DD2B-4075-963B-746F8904B395 2 0.6488 0.40739 0.084 0.756 0.160
#> EC7F0653-0AC0-47AF-A6A2-0475E149065F 1 0.5158 0.65968 0.764 0.232 0.004
#> 3EEB805B-3DC3-47AD-9D83-672D39333B8F 1 0.5158 0.65968 0.764 0.232 0.004
#> ECC99215-F4FB-40D3-A44D-549D681F0CAD 3 0.3267 0.71028 0.000 0.116 0.884
#> ED242FAE-14D1-4804-9C96-281197D485A4 1 0.5158 0.65968 0.764 0.232 0.004
#> 3BB9FC05-3230-4C65-9259-ED8FE65AD473 1 0.1411 0.75680 0.964 0.036 0.000
#> 57C51F55-9F3A-44F0-99DB-EE3557C04373 1 0.4682 0.70885 0.804 0.192 0.004
#> 90F8EB31-A33C-4434-90FC-B6721774D68C 2 0.8730 0.37658 0.388 0.500 0.112
#> 6516F0BC-00E2-40E6-9B9D-420F0DA30FA5 1 0.1989 0.75870 0.948 0.048 0.004
#> 0CCE788F-74E5-4562-82EA-EB39912298E4 2 0.6455 0.52198 0.128 0.764 0.108
#> 1B2E1531-7C1F-4BAF-BC45-42425B7B8891 3 0.5560 0.78392 0.000 0.300 0.700
#> 1CA3C03E-20A1-401E-BE97-12D0E506AFB8 1 0.6264 0.67528 0.724 0.244 0.032
#> C3C5472C-21A7-4F22-AEE7-514902873770 3 0.5591 0.78407 0.000 0.304 0.696
#> 63351C27-1DF5-45FD-A08F-6AD2B2AF8BBF 1 0.3619 0.72982 0.864 0.136 0.000
#> E6982FF2-C754-4998-8C38-83CAA07151B4 1 0.0424 0.75082 0.992 0.008 0.000
#> 2F3FD524-6F59-46C0-99FA-6CAA0C423061 1 0.6369 0.54544 0.668 0.316 0.016
#> 1956427F-FBE0-46C9-BCB2-28CFFB4E3169 1 0.8149 0.12190 0.520 0.408 0.072
#> F12BD7C5-699C-4F80-B02C-CFA9D8BBD99C 1 0.4409 0.71247 0.824 0.172 0.004
#> ED8A6EE1-399E-444C-BEA5-1B32AAF46334 2 0.5356 0.59355 0.196 0.784 0.020
#> F0E550CA-CB04-4202-9AEA-EAE1C295EB6E 1 0.1289 0.75322 0.968 0.032 0.000
#> 80F493DC-D202-4FB0-803B-3A4FA2C85824 1 0.6033 0.50003 0.660 0.336 0.004
#> 54539B90-4EEC-4579-89F4-5EFC4FB4CC51 1 0.6295 0.67715 0.728 0.236 0.036
#> BB8A3F9E-830A-45E2-A1EC-50020C63A7C9 2 0.7794 -0.13716 0.060 0.572 0.368
#> B387E79E-742F-418B-8AAB-0C721218A7D2 3 0.6033 0.76249 0.004 0.336 0.660
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#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.6659 -0.48716 0.008 0.532 0.460
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.5698 0.77688 0.012 0.252 0.736
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 1 0.5948 0.44703 0.640 0.360 0.000
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.4589 0.72679 0.820 0.172 0.008
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.6521 0.50390 0.340 0.644 0.016
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.5058 0.63054 0.756 0.244 0.000
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.7458 0.39996 0.112 0.692 0.196
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 1 0.6952 0.03347 0.504 0.480 0.016
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 3 0.4504 0.77467 0.000 0.196 0.804
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 2 0.9437 0.50249 0.300 0.492 0.208
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.8396 0.48112 0.180 0.624 0.196
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.6225 0.22752 0.568 0.432 0.000
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.7175 0.41837 0.592 0.376 0.032
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 1 0.7487 0.03005 0.500 0.464 0.036
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.1289 0.75322 0.968 0.032 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.6597 0.54341 0.664 0.312 0.024
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.6247 0.46080 0.620 0.376 0.004
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.5096 0.68959 0.836 0.080 0.084
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.3267 0.74729 0.884 0.116 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 2 0.9088 0.33567 0.396 0.464 0.140
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.7417 0.53993 0.312 0.632 0.056
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.1832 0.75850 0.956 0.036 0.008
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.1031 0.75315 0.976 0.024 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.6448 0.53783 0.132 0.764 0.104
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.1031 0.75315 0.976 0.024 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.7291 0.48942 0.356 0.604 0.040
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.3644 0.74274 0.872 0.124 0.004
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.5785 0.51585 0.668 0.332 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.7919 0.25045 0.556 0.380 0.064
#> FAA38111-F046-4ACD-B787-764A17EAF548 1 0.6416 0.36889 0.616 0.376 0.008
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.6931 0.16205 0.456 0.528 0.016
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.6526 0.52003 0.128 0.760 0.112
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.6836 0.66586 0.704 0.240 0.056
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.6664 -0.49438 0.008 0.528 0.464
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.5621 0.55891 0.692 0.308 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.5153 0.44110 0.068 0.832 0.100
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.4575 0.75944 0.004 0.184 0.812
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.6659 0.48091 0.116 0.752 0.132
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 2 0.9118 0.43683 0.352 0.496 0.152
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.7072 0.06775 0.504 0.476 0.020
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.6822 0.14315 0.480 0.508 0.012
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.8339 0.46494 0.168 0.628 0.204
#> 8DBE419E-A360-4493-AC3B-C145887D9237 2 0.9408 0.29039 0.200 0.492 0.308
#> A6C06064-8194-4DFB-9262-A30E63DB2514 1 0.6823 0.03912 0.504 0.484 0.012
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.2165 0.75475 0.936 0.064 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.7777 0.49813 0.052 0.416 0.532
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.5174 0.67349 0.832 0.076 0.092
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.2845 0.76045 0.920 0.068 0.012
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.1031 0.75315 0.976 0.024 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.7063 -0.48383 0.020 0.516 0.464
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.7392 0.01871 0.500 0.468 0.032
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.6798 0.33396 0.400 0.584 0.016
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.1753 0.75737 0.952 0.048 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 2 0.9510 0.40295 0.264 0.492 0.244
#> 5663C145-B465-4509-BA9A-1A40584952BD 3 0.5254 0.77992 0.000 0.264 0.736
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.5254 0.77992 0.000 0.264 0.736
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.5254 0.77992 0.000 0.264 0.736
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.3267 0.71028 0.000 0.116 0.884
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.6140 0.30162 0.596 0.404 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.1031 0.75315 0.976 0.024 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.5119 0.73760 0.816 0.152 0.032
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.4351 0.71268 0.828 0.168 0.004
#> D316C207-8020-47A7-8C2D-753CF42223B5 3 0.5497 0.78714 0.000 0.292 0.708
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0592 0.75272 0.988 0.012 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 3 0.6381 0.75082 0.012 0.340 0.648
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0892 0.75443 0.980 0.020 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.6902 0.57839 0.168 0.732 0.100
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.5431 0.78923 0.000 0.284 0.716
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.3412 0.74292 0.876 0.124 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.5500 0.66248 0.816 0.084 0.100
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.7389 0.55986 0.036 0.408 0.556
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.4357 0.71151 0.868 0.052 0.080
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.5067 0.53813 0.116 0.832 0.052
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.3028 0.74888 0.920 0.048 0.032
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.5156 0.77375 0.008 0.216 0.776
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.5085 0.67738 0.836 0.072 0.092
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.3551 0.73868 0.868 0.132 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.6763 0.22831 0.552 0.436 0.012
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.5085 0.67738 0.836 0.072 0.092
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.9452 0.41908 0.232 0.500 0.268
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.3267 0.71028 0.000 0.116 0.884
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.4281 0.71842 0.872 0.056 0.072
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 3 0.6952 0.54344 0.016 0.480 0.504
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.5291 0.61188 0.732 0.268 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.6634 0.54091 0.144 0.752 0.104
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.7113 0.44351 0.112 0.720 0.168
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.9326 0.31377 0.284 0.512 0.204
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 3 0.5560 0.78392 0.000 0.300 0.700
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.9487 0.40397 0.260 0.496 0.244
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.1289 0.75322 0.968 0.032 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.3682 0.74372 0.876 0.116 0.008
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.3120 0.76034 0.908 0.080 0.012
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.8464 0.59074 0.280 0.592 0.128
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 2 0.8765 0.39399 0.380 0.504 0.116
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.6556 0.59345 0.276 0.692 0.032
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.6556 0.61848 0.692 0.276 0.032
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.1289 0.75322 0.968 0.032 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.4914 0.45527 0.068 0.844 0.088
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.626 -0.07375 0.436 0.508 0.000 0.056
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.930 -0.09362 0.344 0.364 0.180 0.112
#> B5567E00-32AA-48D8-8087-1088C22B0994 3 0.552 0.50713 0.000 0.316 0.648 0.036
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.516 0.14492 0.592 0.008 0.000 0.400
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.571 0.39009 0.744 0.160 0.024 0.072
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.800 -0.01636 0.580 0.192 0.068 0.160
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.907 -0.41611 0.460 0.248 0.112 0.180
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.950 0.04798 0.228 0.352 0.304 0.116
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.636 -0.03223 0.016 0.548 0.400 0.036
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.463 0.33064 0.720 0.012 0.000 0.268
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.250 0.49542 0.044 0.916 0.000 0.040
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.739 0.22728 0.136 0.500 0.008 0.356
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.564 0.14840 0.008 0.636 0.332 0.024
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 2 0.928 -0.09921 0.348 0.364 0.176 0.112
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.258 0.54770 0.912 0.052 0.000 0.036
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.650 0.30509 0.680 0.148 0.016 0.156
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.403 0.50849 0.836 0.092 0.000 0.072
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 3 0.587 0.42628 0.000 0.384 0.576 0.040
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.814 -0.12050 0.540 0.272 0.076 0.112
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.483 0.46747 0.776 0.040 0.008 0.176
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.659 0.20342 0.292 0.616 0.012 0.080
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 2 0.935 0.00173 0.292 0.396 0.196 0.116
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.938 -0.08505 0.336 0.360 0.184 0.120
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.168 0.54872 0.948 0.012 0.000 0.040
#> E773014C-98DE-4394-95F9-845E29F35A2B 3 0.606 0.44510 0.004 0.364 0.588 0.044
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.482 0.16633 0.612 0.000 0.000 0.388
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.768 0.15052 0.108 0.456 0.028 0.408
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.768 0.24939 0.120 0.512 0.028 0.340
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.754 0.04403 0.600 0.232 0.048 0.120
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.834 0.23887 0.244 0.532 0.152 0.072
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.950 -0.38323 0.360 0.320 0.180 0.140
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.168 0.54872 0.948 0.012 0.000 0.040
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.200 0.54848 0.936 0.020 0.000 0.044
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 2 0.931 -0.10341 0.348 0.360 0.176 0.116
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.462 0.23308 0.660 0.000 0.000 0.340
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.992 -0.53455 0.216 0.300 0.212 0.272
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.940 -0.36029 0.356 0.340 0.176 0.128
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.641 0.33440 0.688 0.144 0.016 0.152
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.168 0.54872 0.948 0.012 0.000 0.040
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.198 0.54858 0.936 0.016 0.000 0.048
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.364 0.48880 0.020 0.868 0.088 0.024
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.482 0.47986 0.040 0.800 0.136 0.024
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.483 0.16289 0.608 0.000 0.000 0.392
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.241 0.54630 0.920 0.036 0.000 0.044
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.489 0.12719 0.588 0.000 0.000 0.412
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.413 0.51957 0.844 0.084 0.012 0.060
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.946 0.03020 0.232 0.332 0.328 0.108
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.411 0.46262 0.016 0.836 0.120 0.028
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 3 0.634 0.25919 0.012 0.464 0.488 0.036
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.402 0.37664 0.772 0.004 0.000 0.224
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.554 0.29402 0.256 0.688 0.000 0.056
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.435 0.51826 0.824 0.084 0.004 0.088
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.574 0.26880 0.016 0.676 0.276 0.032
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.697 0.35999 0.192 0.664 0.064 0.080
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.356 0.60096 0.004 0.036 0.864 0.096
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.662 -0.13456 0.456 0.472 0.004 0.068
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.461 0.47338 0.788 0.032 0.008 0.172
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.231 0.54985 0.924 0.032 0.000 0.044
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.626 -0.08401 0.436 0.508 0.000 0.056
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.263 0.50737 0.020 0.920 0.036 0.024
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 1 0.839 -0.08603 0.560 0.164 0.164 0.112
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.462 0.23308 0.660 0.000 0.000 0.340
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.607 0.25623 0.020 0.656 0.284 0.040
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.832 0.14167 0.040 0.464 0.172 0.324
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.485 0.42533 0.016 0.788 0.156 0.040
#> 481EF2B5-E610-4F19-80F2-22327EE33378 1 0.906 -0.26587 0.472 0.236 0.160 0.132
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.740 -0.10628 0.396 0.480 0.016 0.108
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.881 0.19303 0.128 0.288 0.472 0.112
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#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.166 0.53857 0.944 0.004 0.000 0.052
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 3 0.457 0.60584 0.004 0.200 0.772 0.024
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.202 0.55219 0.936 0.024 0.000 0.040
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.567 0.48718 0.072 0.752 0.148 0.028
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.344 0.63272 0.000 0.136 0.848 0.016
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.420 0.51704 0.832 0.096 0.004 0.068
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.487 0.13671 0.596 0.000 0.000 0.404
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.630 0.51710 0.028 0.160 0.708 0.104
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.458 0.33281 0.728 0.012 0.000 0.260
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.377 0.48479 0.020 0.860 0.096 0.024
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.350 0.52092 0.860 0.036 0.000 0.104
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.320 0.59846 0.004 0.024 0.880 0.092
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.462 0.23308 0.660 0.000 0.000 0.340
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.459 0.47492 0.792 0.148 0.000 0.060
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.728 -0.22788 0.432 0.436 0.004 0.128
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.466 0.22374 0.652 0.000 0.000 0.348
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.942 -0.06294 0.208 0.332 0.348 0.112
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.353 0.52574 0.000 0.000 0.808 0.192
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.458 0.37366 0.748 0.020 0.000 0.232
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 3 0.604 0.41465 0.004 0.384 0.572 0.040
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.625 0.28777 0.680 0.216 0.012 0.092
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.482 0.47986 0.040 0.800 0.136 0.024
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.581 0.37011 0.016 0.716 0.204 0.064
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.885 0.16481 0.096 0.424 0.136 0.344
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 3 0.456 0.62129 0.000 0.140 0.796 0.064
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.986 -0.23174 0.192 0.276 0.316 0.216
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.189 0.54754 0.940 0.016 0.000 0.044
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.406 0.50991 0.844 0.092 0.008 0.056
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.344 0.54554 0.868 0.048 0.000 0.084
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.826 0.28604 0.204 0.552 0.172 0.072
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 2 0.934 -0.13144 0.348 0.356 0.176 0.120
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.528 0.46595 0.124 0.784 0.040 0.052
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.704 0.18368 0.636 0.196 0.024 0.144
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.189 0.54754 0.940 0.016 0.000 0.044
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.525 0.43823 0.012 0.772 0.132 0.084
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.716 0.04111 0.140 0.424 0.000 0.388 0.048
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.611 0.29791 0.008 0.168 0.136 0.660 0.028
#> B5567E00-32AA-48D8-8087-1088C22B0994 3 0.544 0.43003 0.004 0.328 0.616 0.024 0.028
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.301 0.67373 0.856 0.008 0.000 0.124 0.012
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.482 0.31636 0.220 0.048 0.004 0.720 0.008
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.596 0.33026 0.240 0.048 0.052 0.652 0.008
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.739 0.33030 0.228 0.096 0.076 0.568 0.032
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 4 0.721 0.05760 0.008 0.204 0.244 0.512 0.032
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.606 0.20952 0.004 0.548 0.360 0.072 0.016
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.422 0.63439 0.716 0.000 0.000 0.260 0.024
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.368 0.56410 0.004 0.828 0.000 0.096 0.072
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 5 0.505 0.81242 0.040 0.244 0.004 0.016 0.696
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.525 0.38214 0.004 0.648 0.288 0.056 0.004
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.607 0.30120 0.008 0.168 0.132 0.664 0.028
#> C8041089-E148-4B33-BBB7-9298B81A8832 4 0.518 -0.16468 0.448 0.032 0.000 0.516 0.004
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.528 0.23830 0.308 0.032 0.012 0.640 0.008
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.646 -0.05015 0.336 0.036 0.000 0.536 0.092
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 3 0.576 0.30792 0.004 0.392 0.544 0.040 0.020
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.624 0.42539 0.104 0.124 0.048 0.692 0.032
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.489 0.40390 0.532 0.012 0.000 0.448 0.008
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.674 0.28089 0.044 0.484 0.012 0.396 0.064
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 4 0.653 0.20801 0.004 0.204 0.148 0.608 0.036
#> C1323790-6C24-4E54-A266-AE66588C1DD5 4 0.621 0.28729 0.008 0.180 0.136 0.648 0.028
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.464 -0.17501 0.452 0.000 0.000 0.536 0.012
#> E773014C-98DE-4394-95F9-845E29F35A2B 3 0.515 0.34038 0.004 0.400 0.568 0.016 0.012
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.208 0.67972 0.908 0.000 0.000 0.084 0.008
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 5 0.614 0.77496 0.112 0.232 0.024 0.004 0.628
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 5 0.557 0.80754 0.040 0.264 0.024 0.012 0.660
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 4 0.372 0.41598 0.060 0.056 0.012 0.852 0.020
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.718 0.31598 0.020 0.436 0.124 0.396 0.024
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.665 0.34287 0.036 0.144 0.136 0.648 0.036
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.464 -0.17501 0.452 0.000 0.000 0.536 0.012
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.480 -0.16627 0.440 0.000 0.000 0.540 0.020
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.620 0.30424 0.012 0.180 0.132 0.652 0.024
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.275 0.70153 0.856 0.000 0.000 0.136 0.008
#> 2A08011A-E15E-4754-B560-4637EF3A446B 4 0.877 0.09621 0.236 0.116 0.164 0.428 0.056
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.644 0.32720 0.020 0.168 0.132 0.648 0.032
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.538 0.21360 0.332 0.032 0.012 0.616 0.008
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.464 -0.17501 0.452 0.000 0.000 0.536 0.012
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.481 -0.18697 0.452 0.000 0.000 0.528 0.020
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.309 0.62009 0.000 0.868 0.064 0.064 0.004
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.444 0.61955 0.004 0.796 0.088 0.092 0.020
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.202 0.67784 0.912 0.000 0.000 0.080 0.008
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 4 0.466 -0.15431 0.432 0.008 0.000 0.556 0.004
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.214 0.65577 0.912 0.000 0.000 0.068 0.020
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.495 0.07836 0.336 0.008 0.000 0.628 0.028
#> 9BDFB73A-076E-418B-B84E-381341688002 4 0.718 0.05162 0.012 0.192 0.264 0.508 0.024
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.415 0.60433 0.008 0.824 0.084 0.056 0.028
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.569 -0.08199 0.004 0.480 0.456 0.056 0.004
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.425 0.59425 0.672 0.000 0.000 0.316 0.012
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.589 0.40233 0.028 0.596 0.000 0.312 0.064
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 4 0.566 -0.09092 0.420 0.056 0.004 0.516 0.004
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.482 0.47823 0.004 0.716 0.232 0.032 0.016
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.608 0.47284 0.004 0.580 0.048 0.328 0.040
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.621 0.54715 0.036 0.036 0.688 0.092 0.148
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 4 0.691 0.21746 0.104 0.344 0.000 0.496 0.056
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.479 0.41736 0.540 0.008 0.000 0.444 0.008
#> B0245553-F100-4235-BFC2-AB908C42E401 4 0.479 -0.22092 0.464 0.012 0.000 0.520 0.004
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.736 0.06325 0.168 0.428 0.000 0.352 0.052
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.341 0.61428 0.004 0.864 0.040 0.068 0.024
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 4 0.671 0.35160 0.144 0.040 0.084 0.660 0.072
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.275 0.70153 0.856 0.000 0.000 0.136 0.008
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.515 0.47091 0.008 0.700 0.236 0.032 0.024
#> D6654189-0570-4603-8C92-3032F2CF7EF3 5 0.627 0.71523 0.004 0.240 0.160 0.008 0.588
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.415 0.58354 0.008 0.816 0.112 0.040 0.024
#> 481EF2B5-E610-4F19-80F2-22327EE33378 4 0.505 0.39782 0.020 0.056 0.068 0.780 0.076
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 4 0.487 0.24854 0.016 0.292 0.008 0.672 0.012
#> 164DD212-0839-4644-8FEE-E6A07A60803B 4 0.793 -0.28661 0.008 0.164 0.344 0.400 0.084
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 4 0.675 0.22497 0.260 0.196 0.000 0.524 0.020
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 5 0.505 0.81242 0.040 0.244 0.004 0.016 0.696
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.295 0.62115 0.000 0.876 0.056 0.064 0.004
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 4 0.505 0.39782 0.020 0.056 0.068 0.780 0.076
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.560 0.39346 0.056 0.056 0.060 0.752 0.076
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.467 -0.11499 0.416 0.000 0.000 0.568 0.016
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.510 0.61408 0.004 0.732 0.084 0.164 0.016
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.598 0.57458 0.020 0.052 0.708 0.108 0.112
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.523 0.48760 0.000 0.632 0.020 0.316 0.032
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 5 0.619 0.72547 0.056 0.236 0.000 0.080 0.628
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.481 -0.18785 0.452 0.000 0.000 0.528 0.020
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.503 -0.12960 0.424 0.008 0.000 0.548 0.020
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.581 0.36999 0.020 0.528 0.000 0.400 0.052
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.607 0.19756 0.004 0.544 0.364 0.072 0.016
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.810 0.12476 0.144 0.108 0.012 0.412 0.324
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.466 0.31174 0.508 0.000 0.000 0.480 0.012
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 4 0.785 -0.24748 0.012 0.140 0.360 0.408 0.080
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.452 0.40555 0.552 0.000 0.000 0.440 0.008
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 4 0.752 -0.09269 0.008 0.200 0.332 0.424 0.036
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.787 0.14444 0.136 0.112 0.004 0.428 0.320
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 4 0.529 0.20213 0.284 0.040 0.004 0.656 0.016
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 4 0.471 -0.27053 0.488 0.008 0.000 0.500 0.004
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.550 0.30270 0.004 0.612 0.316 0.064 0.004
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 4 0.830 0.05794 0.112 0.156 0.228 0.472 0.032
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 5 0.849 0.03038 0.148 0.136 0.020 0.336 0.360
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 4 0.448 0.15151 0.308 0.012 0.000 0.672 0.008
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 4 0.556 0.43800 0.068 0.116 0.076 0.732 0.008
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 4 0.464 -0.18228 0.456 0.000 0.000 0.532 0.012
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.219 0.68115 0.900 0.000 0.000 0.092 0.008
#> 7465251E-7BC8-4179-8950-4E41836CF36B 3 0.455 0.57185 0.020 0.132 0.776 0.000 0.072
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 4 0.536 0.31931 0.248 0.044 0.020 0.680 0.008
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.517 0.52623 0.008 0.736 0.172 0.036 0.048
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 4 0.701 0.22749 0.220 0.224 0.000 0.520 0.036
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.719 0.02470 0.144 0.420 0.000 0.388 0.048
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.545 0.39783 0.044 0.016 0.652 0.008 0.280
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 4 0.653 0.20801 0.004 0.204 0.148 0.608 0.036
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.357 0.56482 0.004 0.836 0.000 0.088 0.072
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 4 0.512 0.43676 0.064 0.096 0.048 0.772 0.020
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.678 0.51566 0.024 0.032 0.612 0.196 0.136
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 4 0.806 0.24009 0.148 0.148 0.132 0.532 0.040
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.521 0.41096 0.588 0.016 0.012 0.376 0.008
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.202 0.67784 0.912 0.000 0.000 0.080 0.008
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 4 0.726 -0.01966 0.012 0.192 0.288 0.484 0.024
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 4 0.587 0.08678 0.304 0.016 0.000 0.596 0.084
#> B54317C9-8704-42A6-BE96-E12855874596 4 0.740 -0.01148 0.008 0.240 0.248 0.472 0.032
#> 759B6273-634D-4145-AA95-452D628BF100 4 0.494 0.26806 0.020 0.288 0.008 0.672 0.012
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.373 0.58835 0.000 0.828 0.008 0.100 0.064
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 4 0.496 0.21857 0.288 0.040 0.000 0.664 0.008
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 4 0.670 0.18142 0.012 0.212 0.144 0.600 0.032
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 4 0.464 -0.18228 0.456 0.000 0.000 0.532 0.012
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.652 0.39515 0.048 0.600 0.008 0.260 0.084
#> A6177818-114B-437B-9928-A6747A788109 4 0.471 -0.27053 0.488 0.008 0.000 0.500 0.004
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cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.689 0.15437 0.336 0.448 0.112 0.008 0.000 0.096
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 6 0.607 0.63556 0.216 0.112 0.008 0.000 0.060 0.604
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.524 0.46488 0.000 0.244 0.024 0.012 0.656 0.064
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.487 -0.55827 0.484 0.000 0.472 0.016 0.000 0.028
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.588 0.35286 0.544 0.032 0.084 0.008 0.000 0.332
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.669 0.13999 0.440 0.032 0.160 0.000 0.016 0.352
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 6 0.774 0.20462 0.328 0.068 0.172 0.004 0.048 0.380
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 6 0.671 0.59715 0.112 0.128 0.008 0.008 0.168 0.576
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.578 0.06381 0.004 0.472 0.012 0.004 0.416 0.092
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.451 -0.00865 0.664 0.000 0.288 0.028 0.000 0.020
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.224 0.63237 0.004 0.908 0.060 0.020 0.004 0.004
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.175 0.68824 0.000 0.084 0.000 0.912 0.000 0.004
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.505 0.30365 0.000 0.592 0.012 0.000 0.332 0.064
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 6 0.602 0.63359 0.216 0.112 0.008 0.000 0.056 0.608
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.341 0.50046 0.836 0.032 0.044 0.000 0.000 0.088
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.608 0.38926 0.528 0.028 0.164 0.000 0.000 0.280
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.457 0.47231 0.772 0.032 0.028 0.108 0.000 0.060
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.554 0.36875 0.000 0.312 0.016 0.012 0.584 0.076
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 6 0.664 0.35993 0.344 0.076 0.056 0.008 0.020 0.496
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.485 0.34932 0.656 0.000 0.220 0.000 0.000 0.124
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.770 0.22842 0.204 0.464 0.104 0.056 0.000 0.172
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 6 0.665 0.62616 0.200 0.156 0.004 0.004 0.084 0.552
#> C1323790-6C24-4E54-A266-AE66588C1DD5 6 0.595 0.64514 0.208 0.104 0.004 0.000 0.068 0.616
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.136 0.50224 0.952 0.000 0.016 0.012 0.000 0.020
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.485 0.40406 0.000 0.304 0.020 0.004 0.636 0.036
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.400 -0.58806 0.504 0.000 0.492 0.004 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.373 0.66078 0.000 0.092 0.092 0.804 0.000 0.012
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.247 0.68532 0.000 0.104 0.012 0.876 0.000 0.008
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 6 0.568 0.19124 0.400 0.028 0.080 0.000 0.000 0.492
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.801 -0.03312 0.148 0.384 0.040 0.012 0.108 0.308
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 6 0.672 0.62708 0.208 0.080 0.040 0.008 0.076 0.588
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.127 0.50116 0.956 0.000 0.016 0.012 0.000 0.016
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.180 0.50341 0.932 0.000 0.024 0.024 0.000 0.020
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 6 0.612 0.63573 0.220 0.104 0.008 0.000 0.068 0.600
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.396 -0.45700 0.560 0.000 0.436 0.000 0.000 0.004
#> 2A08011A-E15E-4754-B560-4637EF3A446B 6 0.786 0.39926 0.096 0.068 0.248 0.008 0.124 0.456
#> 333F9855-9462-46B8-87C8-E9B01572C101 6 0.674 0.63459 0.208 0.100 0.028 0.008 0.076 0.580
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.601 0.41076 0.544 0.028 0.160 0.000 0.000 0.268
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.127 0.50116 0.956 0.000 0.016 0.012 0.000 0.016
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.154 0.49854 0.944 0.000 0.016 0.024 0.000 0.016
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.310 0.61282 0.000 0.848 0.012 0.004 0.108 0.028
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.362 0.61390 0.008 0.816 0.008 0.004 0.128 0.036
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.400 -0.59316 0.500 0.000 0.496 0.004 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.334 0.50549 0.824 0.004 0.064 0.000 0.000 0.108
#> E55AB18D-4929-4551-8561-F04399C6E13D 3 0.399 0.55631 0.476 0.000 0.520 0.004 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.406 0.51455 0.796 0.008 0.056 0.028 0.000 0.112
#> 9BDFB73A-076E-418B-B84E-381341688002 6 0.677 0.59666 0.128 0.116 0.016 0.000 0.180 0.560
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.336 0.59657 0.000 0.816 0.004 0.012 0.148 0.020
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.557 0.17819 0.004 0.404 0.012 0.004 0.504 0.072
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.378 0.16070 0.732 0.000 0.244 0.008 0.000 0.016
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.617 0.47143 0.176 0.628 0.100 0.012 0.004 0.080
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.469 0.50584 0.736 0.036 0.120 0.000 0.000 0.108
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.476 0.40528 0.000 0.652 0.008 0.008 0.288 0.044
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.659 0.40648 0.080 0.576 0.064 0.004 0.036 0.240
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 5 0.643 0.44419 0.000 0.012 0.128 0.036 0.488 0.336
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 1 0.777 -0.07271 0.348 0.340 0.104 0.036 0.000 0.172
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.480 0.34085 0.660 0.000 0.224 0.000 0.000 0.116
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.271 0.49711 0.876 0.008 0.056 0.000 0.000 0.060
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.684 0.18630 0.336 0.460 0.108 0.012 0.000 0.084
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.293 0.62911 0.000 0.872 0.028 0.004 0.068 0.028
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 6 0.651 0.20689 0.352 0.020 0.080 0.012 0.036 0.500
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.396 -0.45700 0.560 0.000 0.436 0.000 0.000 0.004
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.445 0.41022 0.000 0.656 0.008 0.012 0.308 0.016
#> D6654189-0570-4603-8C92-3032F2CF7EF3 4 0.531 0.59853 0.000 0.084 0.084 0.712 0.108 0.012
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.364 0.55778 0.000 0.780 0.008 0.008 0.188 0.016
#> 481EF2B5-E610-4F19-80F2-22327EE33378 6 0.567 0.46688 0.252 0.024 0.076 0.012 0.008 0.628
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 6 0.748 0.34029 0.232 0.280 0.120 0.004 0.000 0.364
#> 164DD212-0839-4644-8FEE-E6A07A60803B 6 0.592 0.42218 0.024 0.092 0.008 0.024 0.220 0.632
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.636 0.37668 0.596 0.184 0.084 0.012 0.000 0.124
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.175 0.68824 0.000 0.084 0.000 0.912 0.000 0.004
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.308 0.61738 0.000 0.852 0.012 0.004 0.100 0.032
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 6 0.567 0.46688 0.252 0.024 0.076 0.012 0.008 0.628
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 6 0.579 0.39652 0.288 0.024 0.072 0.012 0.008 0.596
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.251 0.51743 0.892 0.000 0.028 0.020 0.000 0.060
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.456 0.59219 0.004 0.720 0.004 0.000 0.108 0.164
#> 6724AE7B-3398-441C-9B84-6177D83F767B 5 0.595 0.42762 0.000 0.020 0.068 0.028 0.528 0.356
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.611 0.50214 0.108 0.656 0.068 0.012 0.016 0.140
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.375 0.66582 0.064 0.096 0.008 0.816 0.000 0.016
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.154 0.49729 0.944 0.000 0.016 0.024 0.000 0.016
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.238 0.51457 0.908 0.012 0.020 0.020 0.000 0.040
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.674 0.35274 0.188 0.548 0.116 0.008 0.000 0.140
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.578 0.05443 0.004 0.468 0.012 0.004 0.420 0.092
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.757 0.18047 0.340 0.044 0.064 0.408 0.008 0.136
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.242 0.46638 0.892 0.000 0.068 0.008 0.000 0.032
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 6 0.635 0.42038 0.048 0.080 0.028 0.012 0.224 0.608
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.240 0.40739 0.872 0.000 0.112 0.000 0.000 0.016
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 6 0.740 0.51234 0.104 0.124 0.028 0.008 0.244 0.492
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.738 0.17461 0.344 0.048 0.060 0.408 0.000 0.140
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.506 0.46986 0.632 0.024 0.060 0.000 0.000 0.284
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.259 0.47844 0.880 0.004 0.052 0.000 0.000 0.064
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.500 0.19534 0.000 0.548 0.004 0.000 0.384 0.064
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 6 0.750 0.58589 0.120 0.084 0.128 0.000 0.144 0.524
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 4 0.759 0.27806 0.280 0.060 0.064 0.468 0.012 0.116
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.503 0.48644 0.656 0.008 0.120 0.000 0.000 0.216
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 6 0.655 0.40633 0.348 0.076 0.056 0.000 0.028 0.492
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.109 0.49892 0.964 0.000 0.012 0.012 0.000 0.012
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.410 -0.58180 0.504 0.000 0.488 0.008 0.000 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 5 0.376 0.58241 0.000 0.052 0.076 0.020 0.828 0.024
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.644 0.25545 0.484 0.040 0.152 0.000 0.004 0.320
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.422 0.50920 0.000 0.724 0.012 0.032 0.228 0.004
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.656 0.31866 0.556 0.224 0.112 0.008 0.000 0.100
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.687 0.14758 0.340 0.448 0.108 0.008 0.000 0.096
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 5 0.728 0.29076 0.000 0.000 0.256 0.124 0.404 0.216
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 6 0.665 0.62616 0.200 0.156 0.004 0.004 0.084 0.552
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.220 0.63347 0.004 0.912 0.052 0.024 0.004 0.004
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 1 0.673 -0.21656 0.420 0.068 0.072 0.008 0.016 0.416
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 6 0.608 -0.29502 0.000 0.012 0.076 0.036 0.412 0.464
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 6 0.764 0.57786 0.176 0.084 0.132 0.008 0.084 0.516
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.571 0.22152 0.576 0.012 0.264 0.004 0.000 0.144
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.400 -0.59316 0.500 0.000 0.496 0.004 0.000 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 6 0.666 0.56584 0.108 0.112 0.016 0.000 0.196 0.568
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.520 0.46952 0.708 0.004 0.064 0.100 0.000 0.124
#> B54317C9-8704-42A6-BE96-E12855874596 6 0.708 0.55999 0.112 0.160 0.008 0.008 0.188 0.524
#> 759B6273-634D-4145-AA95-452D628BF100 6 0.752 0.34340 0.232 0.276 0.128 0.004 0.000 0.360
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.238 0.63931 0.000 0.908 0.040 0.020 0.016 0.016
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.559 0.47749 0.608 0.032 0.088 0.004 0.000 0.268
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 6 0.659 0.61787 0.188 0.168 0.012 0.000 0.072 0.560
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 1 0.118 0.50084 0.960 0.000 0.012 0.012 0.000 0.016
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.641 0.45270 0.176 0.624 0.092 0.056 0.004 0.048
#> A6177818-114B-437B-9928-A6747A788109 1 0.259 0.47844 0.880 0.004 0.052 0.000 0.000 0.064
#> E7064800-48FD-492A-A074-84A0B2452445 6 0.567 0.46688 0.252 0.024 0.076 0.012 0.008 0.628
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.459 0.43932 0.000 0.668 0.008 0.004 0.276 0.044
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.396 -0.45700 0.560 0.000 0.436 0.000 0.000 0.004
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.500 0.33479 0.000 0.608 0.012 0.000 0.316 0.064
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 5 0.604 0.39930 0.000 0.024 0.068 0.028 0.516 0.364
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 1 0.632 0.38802 0.556 0.048 0.112 0.008 0.004 0.272
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 1 0.118 0.49787 0.960 0.000 0.016 0.012 0.000 0.012
#> EB235E9A-E453-4108-AD4F-31260F4340A6 6 0.688 0.51673 0.292 0.112 0.032 0.016 0.032 0.516
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 1 0.536 0.46694 0.620 0.024 0.096 0.000 0.000 0.260
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 6 0.647 0.64824 0.180 0.116 0.020 0.000 0.088 0.596
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.421 -0.16987 0.636 0.000 0.336 0.000 0.000 0.028
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 1 0.543 0.44520 0.612 0.028 0.092 0.000 0.000 0.268
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 1 0.109 0.49892 0.964 0.000 0.012 0.012 0.000 0.012
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 5 0.605 0.36732 0.000 0.012 0.072 0.036 0.464 0.416
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 6 0.567 0.46688 0.252 0.024 0.076 0.012 0.008 0.628
#> 94128D59-A5BB-4460-A671-5E1571726C4D 6 0.694 0.63204 0.184 0.144 0.020 0.004 0.096 0.552
#> 12BE2E3A-1B57-4EEE-B130-E70B6BE5A96B 1 0.420 -0.15649 0.640 0.000 0.332 0.000 0.000 0.028
#> 66600553-0E68-405C-81A3-4064DA18737D 5 0.395 0.60162 0.000 0.048 0.044 0.020 0.820 0.068
#> C65B6272-DD2B-4075-963B-746F8904B395 2 0.390 0.51940 0.000 0.744 0.008 0.008 0.224 0.016
#> EC7F0653-0AC0-47AF-A6A2-0475E149065F 1 0.688 0.31456 0.544 0.144 0.112 0.016 0.000 0.184
#> 3EEB805B-3DC3-47AD-9D83-672D39333B8F 1 0.688 0.31456 0.544 0.144 0.112 0.016 0.000 0.184
#> ECC99215-F4FB-40D3-A44D-549D681F0CAD 5 0.728 0.29076 0.000 0.000 0.256 0.124 0.404 0.216
#> ED242FAE-14D1-4804-9C96-281197D485A4 1 0.688 0.31456 0.544 0.144 0.112 0.016 0.000 0.184
#> 3BB9FC05-3230-4C65-9259-ED8FE65AD473 1 0.313 0.49055 0.852 0.020 0.044 0.000 0.000 0.084
#> 57C51F55-9F3A-44F0-99DB-EE3557C04373 1 0.538 0.48344 0.684 0.012 0.072 0.052 0.000 0.180
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#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.424 -0.41230 0.572 0.000 0.412 0.012 0.000 0.004
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.470 0.37225 0.680 0.000 0.192 0.000 0.000 0.128
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.154 0.50731 0.944 0.000 0.024 0.012 0.000 0.020
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.499 0.29960 0.000 0.368 0.016 0.004 0.576 0.036
#> 73D9833A-5E24-47D9-B193-22A66A282669 6 0.751 0.46534 0.268 0.176 0.084 0.012 0.016 0.444
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.735 -0.12578 0.132 0.392 0.108 0.004 0.012 0.352
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.334 0.49942 0.840 0.024 0.052 0.000 0.000 0.084
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 6 0.746 0.55869 0.116 0.076 0.124 0.000 0.160 0.524
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.604 0.51114 0.000 0.036 0.132 0.076 0.660 0.096
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.604 0.51114 0.000 0.036 0.132 0.076 0.660 0.096
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.604 0.51114 0.000 0.036 0.132 0.076 0.660 0.096
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 5 0.728 0.29076 0.000 0.000 0.256 0.124 0.404 0.216
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.797 -0.00510 0.368 0.292 0.116 0.048 0.000 0.176
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.127 0.50116 0.956 0.000 0.016 0.012 0.000 0.016
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.555 0.47923 0.644 0.016 0.152 0.012 0.000 0.176
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.455 0.49085 0.696 0.008 0.072 0.000 0.000 0.224
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.342 0.58919 0.000 0.052 0.076 0.012 0.844 0.016
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.263 0.46264 0.872 0.000 0.068 0.000 0.000 0.060
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.369 0.58437 0.000 0.136 0.016 0.000 0.800 0.048
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.178 0.50655 0.932 0.004 0.036 0.004 0.000 0.024
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.505 0.55565 0.004 0.680 0.012 0.004 0.092 0.208
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.254 0.61315 0.000 0.068 0.016 0.000 0.888 0.028
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.476 0.51327 0.712 0.024 0.092 0.000 0.000 0.172
#> 1F120308-A696-4411-9470-F6546EA5DE04 3 0.400 0.55042 0.484 0.000 0.512 0.004 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 6 0.588 -0.09164 0.000 0.036 0.036 0.028 0.408 0.492
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.453 -0.12731 0.624 0.004 0.332 0.000 0.000 0.040
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.325 0.60969 0.000 0.840 0.012 0.004 0.108 0.036
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.369 0.45814 0.820 0.020 0.104 0.008 0.000 0.048
#> E9093C51-69E0-407D-9D11-226C83DC61BD 5 0.642 0.45904 0.000 0.012 0.144 0.036 0.520 0.288
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.396 -0.45700 0.560 0.000 0.436 0.000 0.000 0.004
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.543 0.46943 0.692 0.100 0.108 0.004 0.000 0.096
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.764 -0.03973 0.348 0.344 0.160 0.020 0.000 0.128
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.397 -0.47619 0.552 0.000 0.444 0.000 0.000 0.004
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 6 0.663 0.56931 0.108 0.112 0.016 0.000 0.192 0.572
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 5 0.728 0.29076 0.000 0.000 0.256 0.124 0.404 0.216
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.454 0.04308 0.664 0.008 0.280 0.000 0.000 0.048
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.507 0.36627 0.000 0.328 0.020 0.004 0.604 0.044
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.593 0.24435 0.556 0.044 0.076 0.008 0.000 0.316
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.362 0.61390 0.008 0.816 0.008 0.004 0.128 0.036
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.571 0.44966 0.000 0.636 0.040 0.032 0.240 0.052
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.528 0.56867 0.000 0.076 0.036 0.708 0.152 0.028
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.376 0.58241 0.000 0.052 0.076 0.020 0.828 0.024
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 6 0.743 0.55935 0.116 0.076 0.120 0.000 0.160 0.528
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.153 0.49433 0.944 0.000 0.016 0.028 0.000 0.012
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.474 0.46637 0.696 0.024 0.064 0.000 0.000 0.216
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.391 0.51939 0.816 0.016 0.068 0.024 0.000 0.076
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.792 0.07421 0.116 0.400 0.036 0.012 0.132 0.304
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 6 0.621 0.63898 0.224 0.108 0.004 0.004 0.068 0.592
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.564 0.60799 0.060 0.716 0.080 0.016 0.032 0.096
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.644 0.25545 0.484 0.040 0.152 0.000 0.004 0.320
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.154 0.49729 0.944 0.000 0.016 0.024 0.000 0.016
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.576 0.55124 0.004 0.672 0.064 0.016 0.160 0.084
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "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 17416 rows and 433 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.865 0.910 0.964 0.4991 0.499 0.499
#> 3 3 0.690 0.757 0.881 0.3011 0.793 0.606
#> 4 4 0.635 0.650 0.803 0.1257 0.834 0.580
#> 5 5 0.694 0.719 0.834 0.0723 0.862 0.555
#> 6 6 0.691 0.591 0.774 0.0427 0.954 0.794
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.9635 0.3562 0.388 0.612
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.8081 0.6759 0.248 0.752
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0000 0.9606 0.000 1.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.9614 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0000 0.9614 1.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.0000 0.9614 1.000 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.9833 0.2594 0.576 0.424
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.0000 0.9606 0.000 1.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.9606 0.000 1.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.9614 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9606 0.000 1.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.6801 0.7687 0.820 0.180
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.9606 0.000 1.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.0000 0.9614 1.000 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9614 1.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.9614 1.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0000 0.9614 1.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.9606 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 2 0.9775 0.3154 0.412 0.588
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.9614 1.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0000 0.9606 0.000 1.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.9866 0.2348 0.568 0.432
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.8327 0.6498 0.264 0.736
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.9614 1.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.9606 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9614 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.9977 0.0973 0.528 0.472
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.0000 0.9606 0.000 1.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0000 0.9614 1.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.9606 0.000 1.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.7745 0.6927 0.772 0.228
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.9614 1.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.9614 1.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 2 0.8144 0.6697 0.252 0.748
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9614 1.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.0000 0.9606 0.000 1.000
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.9522 0.4038 0.628 0.372
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.9614 1.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.9614 1.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.9614 1.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.9606 0.000 1.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9606 0.000 1.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.9614 1.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.9614 1.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.9614 1.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.9614 1.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.0000 0.9606 0.000 1.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.9606 0.000 1.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.9606 0.000 1.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.9614 1.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.9606 0.000 1.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.9614 1.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.9606 0.000 1.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.9606 0.000 1.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 2 0.0000 0.9606 0.000 1.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0000 0.9606 0.000 1.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.9614 1.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.9614 1.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.0000 0.9614 1.000 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.9606 0.000 1.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 1 0.0000 0.9614 1.000 0.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.9614 1.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.9606 0.000 1.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.0000 0.9606 0.000 1.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.9606 0.000 1.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 2 0.8608 0.6178 0.284 0.716
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 1 0.6623 0.7720 0.828 0.172
#> 164DD212-0839-4644-8FEE-E6A07A60803B 2 0.0000 0.9606 0.000 1.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.0000 0.9614 1.000 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 1 0.0000 0.9614 1.000 0.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.9606 0.000 1.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 2 0.8555 0.6222 0.280 0.720
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.0000 0.9614 1.000 0.000
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0000 0.9614 1.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.9606 0.000 1.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 2 0.0000 0.9606 0.000 1.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.9606 0.000 1.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.0000 0.9614 1.000 0.000
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0000 0.9614 1.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0000 0.9614 1.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 1 0.7376 0.7276 0.792 0.208
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.9606 0.000 1.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 1 0.9922 0.1819 0.552 0.448
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0000 0.9614 1.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 2 0.4690 0.8659 0.100 0.900
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#> 2093B791-606A-4F18-8E0B-F8607DCB8256 2 0.0000 0.9606 0.000 1.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 1 0.9954 0.1403 0.540 0.460
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0000 0.9614 1.000 0.000
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#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0000 0.9606 0.000 1.000
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#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0000 0.9606 0.000 1.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.0000 0.9614 1.000 0.000
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.0000 0.9614 1.000 0.000
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 2 0.0000 0.9606 0.000 1.000
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 2 0.7056 0.7567 0.192 0.808
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 0.9606 0.000 1.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 2 0.7950 0.6883 0.240 0.760
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 2 0.0000 0.9606 0.000 1.000
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#> B54317C9-8704-42A6-BE96-E12855874596 2 0.0000 0.9606 0.000 1.000
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.0000 0.9614 1.000 0.000
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0000 0.9606 0.000 1.000
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#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 2 0.0000 0.9606 0.000 1.000
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#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 1 0.0000 0.9614 1.000 0.000
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 1 0.0000 0.9614 1.000 0.000
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 2 0.0000 0.9606 0.000 1.000
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 2 0.8909 0.5728 0.308 0.692
#> 94128D59-A5BB-4460-A671-5E1571726C4D 2 0.0000 0.9606 0.000 1.000
#> 12BE2E3A-1B57-4EEE-B130-E70B6BE5A96B 1 0.0000 0.9614 1.000 0.000
#> 66600553-0E68-405C-81A3-4064DA18737D 2 0.0000 0.9606 0.000 1.000
#> C65B6272-DD2B-4075-963B-746F8904B395 2 0.0000 0.9606 0.000 1.000
#> EC7F0653-0AC0-47AF-A6A2-0475E149065F 1 0.0000 0.9614 1.000 0.000
#> 3EEB805B-3DC3-47AD-9D83-672D39333B8F 1 0.7674 0.6990 0.776 0.224
#> ECC99215-F4FB-40D3-A44D-549D681F0CAD 2 0.0000 0.9606 0.000 1.000
#> ED242FAE-14D1-4804-9C96-281197D485A4 2 0.9491 0.4339 0.368 0.632
#> 3BB9FC05-3230-4C65-9259-ED8FE65AD473 1 0.0000 0.9614 1.000 0.000
#> 57C51F55-9F3A-44F0-99DB-EE3557C04373 1 0.0000 0.9614 1.000 0.000
#> 90F8EB31-A33C-4434-90FC-B6721774D68C 2 0.8608 0.6148 0.284 0.716
#> 6516F0BC-00E2-40E6-9B9D-420F0DA30FA5 1 0.0000 0.9614 1.000 0.000
#> 0CCE788F-74E5-4562-82EA-EB39912298E4 2 0.0000 0.9606 0.000 1.000
#> 1B2E1531-7C1F-4BAF-BC45-42425B7B8891 2 0.0000 0.9606 0.000 1.000
#> 1CA3C03E-20A1-401E-BE97-12D0E506AFB8 1 0.0000 0.9614 1.000 0.000
#> C3C5472C-21A7-4F22-AEE7-514902873770 2 0.0000 0.9606 0.000 1.000
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#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 1 0.7674 0.6990 0.776 0.224
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 2 0.0000 0.9606 0.000 1.000
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 2 0.8207 0.6631 0.256 0.744
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.9606 0.000 1.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.0000 0.9614 1.000 0.000
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.9580 0.3826 0.620 0.380
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.9393 0.4654 0.356 0.644
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.9614 1.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.0000 0.9614 1.000 0.000
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.0000 0.9614 1.000 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.9614 1.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.0000 0.9614 1.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 2 0.8386 0.6434 0.268 0.732
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.0000 0.9606 0.000 1.000
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.9614 1.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.9614 1.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.9606 0.000 1.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.9614 1.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.9606 0.000 1.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.9614 1.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0000 0.9614 1.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0000 0.9614 1.000 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 1 0.2603 0.9210 0.956 0.044
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.1633 0.9399 0.024 0.976
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.9606 0.000 1.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0000 0.9614 1.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.9606 0.000 1.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.0672 0.9543 0.992 0.008
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.9606 0.000 1.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 2 0.0000 0.9606 0.000 1.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.9606 0.000 1.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 2 0.0000 0.9606 0.000 1.000
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 2 0.9358 0.4737 0.352 0.648
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.9606 0.000 1.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0000 0.9606 0.000 1.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.9881 0.2219 0.564 0.436
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.9606 0.000 1.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.9614 1.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.0000 0.9606 0.000 1.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.9614 1.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.9614 1.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.9614 1.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.9606 0.000 1.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 2 0.9209 0.5099 0.336 0.664
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.9606 0.000 1.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.9614 1.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.9754 0.3067 0.592 0.408
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 0.9606 0.000 1.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0000 0.9606 0.000 1.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0000 0.9606 0.000 1.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.0000 0.9606 0.000 1.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0000 0.9614 1.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.9614 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.9614 1.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.9614 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.9606 0.000 1.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.9614 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.9606 0.000 1.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.9614 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.9606 0.000 1.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0000 0.9606 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.9614 1.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.9614 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.0000 0.9606 0.000 1.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.9614 1.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.9606 0.000 1.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.9614 1.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.0000 0.9606 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.9614 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0000 0.9614 1.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0000 0.9614 1.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9614 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.0000 0.9606 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.0000 0.9606 0.000 1.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.9614 1.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.9606 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.9614 1.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.9606 0.000 1.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.9606 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.0000 0.9606 0.000 1.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.9606 0.000 1.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.0000 0.9606 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.9614 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.9614 1.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.9614 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.9606 0.000 1.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.9954 0.1402 0.540 0.460
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.9606 0.000 1.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.9614 1.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.9614 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.9606 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.5939 0.63947 0.140 0.788 0.072
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.3713 0.75462 0.076 0.032 0.892
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.5988 0.54225 0.000 0.632 0.368
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.91486 1.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.5926 0.51878 0.644 0.000 0.356
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.6126 0.27158 0.400 0.000 0.600
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.1647 0.77653 0.036 0.004 0.960
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.2165 0.77081 0.000 0.064 0.936
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0424 0.83666 0.000 0.992 0.008
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.91486 1.000 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0237 0.83760 0.000 0.996 0.004
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.8105 0.44983 0.580 0.336 0.084
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.4291 0.74519 0.000 0.820 0.180
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.6359 0.25814 0.404 0.004 0.592
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.1411 0.91997 0.964 0.000 0.036
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.4399 0.75441 0.812 0.000 0.188
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.2261 0.91658 0.932 0.000 0.068
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0424 0.83666 0.000 0.992 0.008
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.4521 0.69895 0.180 0.004 0.816
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.91486 1.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.5397 0.65264 0.000 0.720 0.280
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.5365 0.60403 0.252 0.004 0.744
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0237 0.78311 0.000 0.004 0.996
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.2261 0.91658 0.932 0.000 0.068
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.2959 0.79255 0.000 0.900 0.100
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.91486 1.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.8350 0.47369 0.628 0.176 0.196
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.5058 0.69719 0.000 0.756 0.244
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.6215 0.20617 0.428 0.000 0.572
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.5948 0.37337 0.000 0.640 0.360
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.6033 0.44673 0.336 0.004 0.660
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.2261 0.91658 0.932 0.000 0.068
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.2261 0.91658 0.932 0.000 0.068
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.0237 0.78311 0.000 0.004 0.996
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.91486 1.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.2550 0.76889 0.012 0.056 0.932
#> 333F9855-9462-46B8-87C8-E9B01572C101 3 0.7268 0.07760 0.448 0.028 0.524
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.2261 0.91658 0.932 0.000 0.068
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0892 0.91876 0.980 0.000 0.020
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.2261 0.91658 0.932 0.000 0.068
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0237 0.83760 0.000 0.996 0.004
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0237 0.83760 0.000 0.996 0.004
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.91486 1.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.1289 0.91975 0.968 0.000 0.032
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.91486 1.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.2261 0.91658 0.932 0.000 0.068
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0237 0.78311 0.000 0.004 0.996
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0237 0.83760 0.000 0.996 0.004
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.4555 0.72726 0.000 0.800 0.200
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.91486 1.000 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0237 0.83760 0.000 0.996 0.004
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.1411 0.91997 0.964 0.000 0.036
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0424 0.83666 0.000 0.992 0.008
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 3 0.6180 0.32646 0.000 0.416 0.584
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.2261 0.76610 0.000 0.068 0.932
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.2356 0.78434 0.000 0.928 0.072
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.91486 1.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.1163 0.91939 0.972 0.000 0.028
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.6318 0.74425 0.760 0.172 0.068
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0237 0.83760 0.000 0.996 0.004
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.0829 0.78325 0.012 0.004 0.984
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.91486 1.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0237 0.83519 0.000 0.996 0.004
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.5835 0.57858 0.000 0.660 0.340
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0237 0.83760 0.000 0.996 0.004
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0475 0.78329 0.004 0.004 0.992
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.9192 0.19547 0.180 0.520 0.300
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.2165 0.77081 0.000 0.064 0.936
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.6372 0.73703 0.756 0.176 0.068
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 1 0.6093 0.76311 0.776 0.156 0.068
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0237 0.83760 0.000 0.996 0.004
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.1182 0.78333 0.012 0.012 0.976
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.5760 0.45298 0.328 0.000 0.672
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.2261 0.91658 0.932 0.000 0.068
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0237 0.83760 0.000 0.996 0.004
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.2261 0.76610 0.000 0.068 0.932
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0424 0.83540 0.000 0.992 0.008
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.6208 0.75257 0.768 0.164 0.068
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.2261 0.91658 0.932 0.000 0.068
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.2261 0.91658 0.932 0.000 0.068
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.6662 0.56563 0.192 0.736 0.072
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0237 0.83519 0.000 0.996 0.004
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 3 0.6129 0.47733 0.324 0.008 0.668
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.1529 0.92015 0.960 0.000 0.040
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0237 0.78311 0.000 0.004 0.996
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.1163 0.91939 0.972 0.000 0.028
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.2261 0.76610 0.000 0.068 0.932
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#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.2261 0.91658 0.932 0.000 0.068
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.4291 0.68762 0.000 0.820 0.180
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.1909 0.85334 0.048 0.940 0.004 0.008
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.3024 0.65173 0.000 0.000 0.148 0.852
#> B5567E00-32AA-48D8-8087-1088C22B0994 3 0.3873 0.76910 0.000 0.228 0.772 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.2081 0.77513 0.916 0.000 0.000 0.084
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.2125 0.57557 0.076 0.000 0.004 0.920
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.2179 0.64113 0.012 0.000 0.064 0.924
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.3801 0.64755 0.000 0.000 0.220 0.780
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 4 0.4948 0.47776 0.000 0.000 0.440 0.560
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.3486 0.73057 0.000 0.812 0.188 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.2921 0.77121 0.860 0.000 0.000 0.140
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0188 0.89516 0.000 0.996 0.004 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.8784 -0.29996 0.320 0.124 0.104 0.452
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 3 0.4605 0.62317 0.000 0.336 0.664 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.2179 0.64113 0.012 0.000 0.064 0.924
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.1557 0.78441 0.944 0.000 0.000 0.056
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.4817 -0.08896 0.388 0.000 0.000 0.612
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.4961 0.62066 0.552 0.000 0.000 0.448
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.2868 0.79484 0.000 0.864 0.136 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.2973 0.65165 0.000 0.000 0.144 0.856
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 4 0.7381 0.08550 0.000 0.328 0.180 0.492
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 4 0.4214 0.64961 0.016 0.000 0.204 0.780
#> C1323790-6C24-4E54-A266-AE66588C1DD5 4 0.3975 0.64115 0.000 0.000 0.240 0.760
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.4933 0.63783 0.568 0.000 0.000 0.432
#> E773014C-98DE-4394-95F9-845E29F35A2B 3 0.4643 0.59976 0.000 0.344 0.656 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.6375 0.38496 0.204 0.080 0.028 0.688
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 3 0.7546 0.15061 0.000 0.188 0.408 0.404
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 4 0.5744 0.61437 0.108 0.000 0.184 0.708
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.5857 0.34938 0.000 0.636 0.056 0.308
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.2546 0.63653 0.028 0.000 0.060 0.912
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.4916 0.64387 0.576 0.000 0.000 0.424
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.4925 0.64102 0.572 0.000 0.000 0.428
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.3907 0.64426 0.000 0.000 0.232 0.768
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 4 0.4977 0.45100 0.000 0.000 0.460 0.540
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.2877 0.63457 0.008 0.028 0.060 0.904
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.4955 0.62473 0.556 0.000 0.000 0.444
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.4134 0.73844 0.740 0.000 0.000 0.260
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.4925 0.64102 0.572 0.000 0.000 0.428
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.1118 0.88355 0.000 0.964 0.036 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0707 0.89041 0.000 0.980 0.020 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0592 0.78569 0.984 0.000 0.000 0.016
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.4948 0.62902 0.560 0.000 0.000 0.440
#> 9BDFB73A-076E-418B-B84E-381341688002 4 0.4543 0.59063 0.000 0.000 0.324 0.676
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.89604 0.000 1.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.4072 0.61792 0.000 0.748 0.252 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.1302 0.78541 0.956 0.000 0.000 0.044
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0188 0.89516 0.000 0.996 0.004 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.2281 0.78073 0.904 0.000 0.000 0.096
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.2081 0.84659 0.000 0.916 0.084 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.6984 0.28935 0.000 0.580 0.184 0.236
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.4855 -0.18691 0.000 0.000 0.600 0.400
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.2888 0.77256 0.000 0.872 0.004 0.124
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0469 0.78542 0.988 0.000 0.000 0.012
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.6751 0.37664 0.272 0.592 0.000 0.136
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.89604 0.000 1.000 0.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 4 0.4713 0.56041 0.000 0.000 0.360 0.640
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.3400 0.74016 0.000 0.820 0.180 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 3 0.3688 0.77632 0.000 0.208 0.792 0.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.1022 0.88549 0.000 0.968 0.032 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 4 0.4948 0.47776 0.000 0.000 0.440 0.560
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.3947 0.75064 0.076 0.848 0.004 0.072
#> 164DD212-0839-4644-8FEE-E6A07A60803B 4 0.4955 0.47293 0.000 0.000 0.444 0.556
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 4 0.7751 -0.31164 0.344 0.240 0.000 0.416
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.7828 -0.43509 0.400 0.124 0.028 0.448
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.1118 0.88355 0.000 0.964 0.036 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 4 0.4888 0.50887 0.000 0.000 0.412 0.588
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.3972 0.65068 0.008 0.000 0.204 0.788
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.4925 0.64102 0.572 0.000 0.000 0.428
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.89604 0.000 1.000 0.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.3569 0.37593 0.000 0.000 0.804 0.196
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0376 0.89331 0.000 0.992 0.004 0.004
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.7828 -0.43509 0.400 0.124 0.028 0.448
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.4925 0.64102 0.572 0.000 0.000 0.428
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.4888 0.65249 0.588 0.000 0.000 0.412
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.2300 0.83187 0.016 0.920 0.000 0.064
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.3444 0.73585 0.000 0.816 0.184 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.2915 0.56793 0.028 0.000 0.080 0.892
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.4134 0.73961 0.740 0.000 0.000 0.260
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 4 0.4948 0.47776 0.000 0.000 0.440 0.560
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.1118 0.78581 0.964 0.000 0.000 0.036
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 4 0.4961 0.46747 0.000 0.000 0.448 0.552
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.1733 0.60213 0.028 0.000 0.024 0.948
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.2704 0.73960 0.876 0.000 0.000 0.124
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.1022 0.78599 0.968 0.000 0.000 0.032
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.1118 0.88355 0.000 0.964 0.036 0.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 4 0.3873 0.64543 0.000 0.000 0.228 0.772
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 4 0.0817 0.61211 0.000 0.000 0.024 0.976
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.3400 0.75941 0.820 0.000 0.000 0.180
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 4 0.2983 0.61378 0.068 0.000 0.040 0.892
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.4277 0.73080 0.720 0.000 0.000 0.280
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.2469 0.77262 0.892 0.000 0.000 0.108
#> 7465251E-7BC8-4179-8950-4E41836CF36B 3 0.4072 0.74089 0.000 0.252 0.748 0.000
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.4382 0.59404 0.704 0.000 0.000 0.296
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.1211 0.88530 0.000 0.960 0.040 0.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.7050 0.51507 0.460 0.104 0.004 0.432
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.5189 0.34786 0.616 0.372 0.000 0.012
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.3156 0.64861 0.000 0.048 0.884 0.068
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 4 0.4605 0.58018 0.000 0.000 0.336 0.664
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0188 0.89516 0.000 0.996 0.004 0.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 4 0.1743 0.63926 0.000 0.004 0.056 0.940
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 4 0.4998 0.40824 0.000 0.000 0.488 0.512
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 4 0.4277 0.61914 0.000 0.000 0.280 0.720
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 4 0.4955 0.47293 0.000 0.000 0.444 0.556
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.4955 0.62625 0.556 0.000 0.000 0.444
#> B54317C9-8704-42A6-BE96-E12855874596 4 0.5151 0.44169 0.000 0.004 0.464 0.532
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.2469 0.74011 0.892 0.000 0.000 0.108
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0188 0.89516 0.000 0.996 0.004 0.000
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.1389 0.78690 0.952 0.000 0.000 0.048
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 4 0.3726 0.64903 0.000 0.000 0.212 0.788
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 1 0.4008 0.74225 0.756 0.000 0.000 0.244
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.3591 0.71023 0.000 0.824 0.008 0.168
#> A6177818-114B-437B-9928-A6747A788109 1 0.1118 0.78581 0.964 0.000 0.000 0.036
#> E7064800-48FD-492A-A074-84A0B2452445 4 0.4535 0.61184 0.004 0.000 0.292 0.704
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.2973 0.78503 0.000 0.856 0.144 0.000
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.1389 0.87751 0.000 0.952 0.048 0.000
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.4134 0.22692 0.000 0.000 0.740 0.260
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 4 0.3649 0.33624 0.204 0.000 0.000 0.796
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 1 0.4164 0.73823 0.736 0.000 0.000 0.264
#> EB235E9A-E453-4108-AD4F-31260F4340A6 4 0.2342 0.64437 0.008 0.000 0.080 0.912
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 1 0.4933 0.63783 0.568 0.000 0.000 0.432
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 4 0.3907 0.64426 0.000 0.000 0.232 0.768
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 1 0.5000 0.54172 0.500 0.000 0.000 0.500
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 1 0.4277 0.72745 0.720 0.000 0.000 0.280
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 3 0.4955 -0.29217 0.000 0.000 0.556 0.444
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 4 0.4948 0.47776 0.000 0.000 0.440 0.560
#> 94128D59-A5BB-4460-A671-5E1571726C4D 4 0.4898 0.60684 0.000 0.104 0.116 0.780
#> 12BE2E3A-1B57-4EEE-B130-E70B6BE5A96B 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> 66600553-0E68-405C-81A3-4064DA18737D 3 0.3764 0.77469 0.000 0.216 0.784 0.000
#> C65B6272-DD2B-4075-963B-746F8904B395 2 0.2081 0.84659 0.000 0.916 0.084 0.000
#> EC7F0653-0AC0-47AF-A6A2-0475E149065F 4 0.1211 0.60606 0.000 0.040 0.000 0.960
#> 3EEB805B-3DC3-47AD-9D83-672D39333B8F 4 0.2830 0.63069 0.000 0.040 0.060 0.900
#> ECC99215-F4FB-40D3-A44D-549D681F0CAD 3 0.3156 0.64861 0.000 0.048 0.884 0.068
#> ED242FAE-14D1-4804-9C96-281197D485A4 4 0.2224 0.62066 0.000 0.040 0.032 0.928
#> 3BB9FC05-3230-4C65-9259-ED8FE65AD473 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> 57C51F55-9F3A-44F0-99DB-EE3557C04373 1 0.4955 0.62625 0.556 0.000 0.000 0.444
#> 90F8EB31-A33C-4434-90FC-B6721774D68C 4 0.2675 0.64634 0.000 0.008 0.100 0.892
#> 6516F0BC-00E2-40E6-9B9D-420F0DA30FA5 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> 0CCE788F-74E5-4562-82EA-EB39912298E4 2 0.1474 0.87281 0.000 0.948 0.052 0.000
#> 1B2E1531-7C1F-4BAF-BC45-42425B7B8891 3 0.3764 0.77374 0.000 0.216 0.784 0.000
#> 1CA3C03E-20A1-401E-BE97-12D0E506AFB8 1 0.4008 0.65557 0.756 0.000 0.000 0.244
#> C3C5472C-21A7-4F22-AEE7-514902873770 3 0.4123 0.77370 0.000 0.220 0.772 0.008
#> 63351C27-1DF5-45FD-A08F-6AD2B2AF8BBF 1 0.4804 0.66303 0.616 0.000 0.000 0.384
#> E6982FF2-C754-4998-8C38-83CAA07151B4 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> 2F3FD524-6F59-46C0-99FA-6CAA0C423061 4 0.3056 0.61038 0.072 0.000 0.040 0.888
#> 1956427F-FBE0-46C9-BCB2-28CFFB4E3169 4 0.4643 0.57464 0.000 0.000 0.344 0.656
#> F12BD7C5-699C-4F80-B02C-CFA9D8BBD99C 1 0.0592 0.78569 0.984 0.000 0.000 0.016
#> ED8A6EE1-399E-444C-BEA5-1B32AAF46334 2 0.0000 0.89604 0.000 1.000 0.000 0.000
#> F0E550CA-CB04-4202-9AEA-EAE1C295EB6E 1 0.4925 0.64102 0.572 0.000 0.000 0.428
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#> F8DA4628-F7C4-4627-9374-45D10E349CBF 3 0.3764 0.77374 0.000 0.216 0.784 0.000
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.89604 0.000 1.000 0.000 0.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0188 0.89516 0.000 0.996 0.004 0.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 4 0.4543 0.27759 0.324 0.000 0.000 0.676
#> B232056E-59B2-4D05-983D-8740D6994A71 3 0.3975 0.74931 0.000 0.240 0.760 0.000
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 3 0.3764 0.77374 0.000 0.216 0.784 0.000
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0000 0.89604 0.000 1.000 0.000 0.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 3 0.3356 0.77885 0.000 0.176 0.824 0.000
#> B822A426-98C1-4976-9FC2-16347992AD78 4 0.3764 0.64834 0.000 0.000 0.216 0.784
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.89604 0.000 1.000 0.000 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0469 0.89482 0.000 0.988 0.012 0.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 4 0.4955 0.47293 0.000 0.000 0.444 0.556
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.2149 0.84317 0.000 0.912 0.088 0.000
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.1978 0.70505 0.000 0.068 0.928 0.004
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.2076 0.84493 0.056 0.932 0.008 0.004
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.4989 0.58844 0.528 0.000 0.000 0.472
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.3498 0.72055 0.000 0.832 0.008 0.160
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.7323 0.48279 0.456 0.156 0.000 0.388
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0817 0.88892 0.000 0.976 0.024 0.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 4 0.6360 0.32947 0.008 0.352 0.056 0.584
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 3 0.3528 0.78100 0.000 0.192 0.808 0.000
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 4 0.3942 0.64319 0.000 0.000 0.236 0.764
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.89604 0.000 1.000 0.000 0.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 4 0.6678 -0.38869 0.412 0.088 0.000 0.500
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 4 0.3617 0.64185 0.064 0.000 0.076 0.860
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 4 0.3528 0.65122 0.000 0.000 0.192 0.808
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.4916 0.64387 0.576 0.000 0.000 0.424
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 4 0.3398 0.62181 0.068 0.000 0.060 0.872
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.0707 0.77388 0.980 0.000 0.000 0.020
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.4843 0.65328 0.604 0.000 0.000 0.396
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.4382 0.71160 0.704 0.000 0.000 0.296
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 4 0.3907 0.64426 0.000 0.000 0.232 0.768
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.5235 0.54457 0.000 0.716 0.236 0.048
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.4877 0.65259 0.592 0.000 0.000 0.408
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.89604 0.000 1.000 0.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.3873 0.74654 0.772 0.000 0.000 0.228
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.89604 0.000 1.000 0.000 0.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.3528 0.70335 0.808 0.000 0.000 0.192
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.5000 0.50350 0.504 0.000 0.000 0.496
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.3958 0.61102 0.816 0.000 0.024 0.160
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.7674 -0.07352 0.220 0.288 0.004 0.488
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.3991 0.73456 0.000 0.832 0.048 0.120
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.1022 0.88549 0.000 0.968 0.032 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 4 0.4731 0.61016 0.160 0.000 0.060 0.780
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.2814 0.79951 0.000 0.868 0.132 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.3009 0.56444 0.056 0.052 0.000 0.892
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.89604 0.000 1.000 0.000 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.3942 0.28670 0.000 0.000 0.764 0.236
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0188 0.89534 0.000 0.996 0.004 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 4 0.3907 0.64426 0.000 0.000 0.232 0.768
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 4 0.3024 0.65176 0.000 0.000 0.148 0.852
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.1398 0.86870 0.000 0.956 0.004 0.040
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 4 0.7210 -0.00427 0.000 0.404 0.140 0.456
#> 8DBE419E-A360-4493-AC3B-C145887D9237 4 0.3873 0.64595 0.000 0.000 0.228 0.772
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.1743 0.84824 0.000 0.940 0.056 0.004
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.3219 0.76254 0.836 0.000 0.000 0.164
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.4790 -0.13272 0.000 0.000 0.620 0.380
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.1637 0.78149 0.940 0.000 0.000 0.060
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.4543 0.69977 0.676 0.000 0.000 0.324
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.3219 0.75962 0.000 0.836 0.164 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.1970 0.63945 0.000 0.008 0.060 0.932
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.1890 0.84438 0.000 0.936 0.056 0.008
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.1118 0.78581 0.964 0.000 0.000 0.036
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 4 0.4679 0.56753 0.000 0.000 0.352 0.648
#> 5663C145-B465-4509-BA9A-1A40584952BD 3 0.3726 0.77431 0.000 0.212 0.788 0.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.3726 0.77431 0.000 0.212 0.788 0.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.3726 0.77431 0.000 0.212 0.788 0.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.3156 0.64861 0.000 0.048 0.884 0.068
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.6887 0.50243 0.452 0.104 0.000 0.444
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.4907 0.64629 0.580 0.000 0.000 0.420
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.4925 0.64102 0.572 0.000 0.000 0.428
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.4955 0.62424 0.556 0.000 0.000 0.444
#> D316C207-8020-47A7-8C2D-753CF42223B5 3 0.3726 0.77595 0.000 0.212 0.788 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 3 0.4406 0.67973 0.000 0.300 0.700 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.1474 0.78493 0.948 0.000 0.000 0.052
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.1109 0.88668 0.000 0.968 0.028 0.004
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.3569 0.78073 0.000 0.196 0.804 0.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.4040 0.73095 0.752 0.000 0.000 0.248
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 4 0.4972 0.45695 0.000 0.000 0.456 0.544
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.1118 0.88355 0.000 0.964 0.036 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.2011 0.56609 0.000 0.000 0.920 0.080
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.1118 0.78581 0.964 0.000 0.000 0.036
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.6602 0.59466 0.552 0.092 0.000 0.356
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 4 0.4955 0.47293 0.000 0.000 0.444 0.556
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.3156 0.64861 0.000 0.048 0.884 0.068
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.78416 1.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 3 0.4972 0.30018 0.000 0.456 0.544 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.5000 0.51909 0.504 0.000 0.000 0.496
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.89604 0.000 1.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.3873 0.66743 0.000 0.772 0.228 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 3 0.5816 0.67157 0.000 0.144 0.708 0.148
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 3 0.4040 0.74373 0.000 0.248 0.752 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 4 0.4948 0.47776 0.000 0.000 0.440 0.560
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.4925 0.64102 0.572 0.000 0.000 0.428
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0592 0.78569 0.984 0.000 0.000 0.016
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.4925 0.64102 0.572 0.000 0.000 0.428
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 4 0.7468 0.14163 0.000 0.320 0.196 0.484
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.3873 0.64551 0.000 0.000 0.228 0.772
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.89604 0.000 1.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.3975 0.25586 0.240 0.000 0.000 0.760
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.4933 0.63783 0.568 0.000 0.000 0.432
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0779 0.88539 0.000 0.980 0.016 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.1893 0.8506 0.000 0.928 0.000 0.048 0.024
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.2929 0.7878 0.000 0.000 0.820 0.180 0.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.1831 0.8433 0.000 0.076 0.004 0.000 0.920
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.3395 0.5878 0.764 0.000 0.000 0.236 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 3 0.4499 0.4122 0.004 0.000 0.584 0.408 0.004
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.3461 0.7472 0.000 0.000 0.772 0.224 0.004
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.2563 0.8215 0.000 0.000 0.872 0.120 0.008
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.1211 0.8211 0.000 0.000 0.960 0.024 0.016
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.4235 0.3132 0.000 0.576 0.000 0.000 0.424
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.4304 -0.3082 0.516 0.000 0.000 0.484 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0290 0.8744 0.000 0.992 0.000 0.008 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.2178 0.6861 0.008 0.024 0.000 0.920 0.048
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.2813 0.7659 0.000 0.168 0.000 0.000 0.832
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.3521 0.7380 0.000 0.000 0.764 0.232 0.004
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.2286 0.7965 0.888 0.000 0.004 0.108 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.6146 0.6218 0.212 0.000 0.172 0.604 0.012
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.3656 0.7463 0.196 0.000 0.000 0.784 0.020
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.4138 0.4117 0.000 0.616 0.000 0.000 0.384
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.3209 0.7887 0.000 0.000 0.812 0.180 0.008
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.8633 1.000 0.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 4 0.7867 -0.2632 0.000 0.088 0.352 0.368 0.192
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.2798 0.8139 0.000 0.000 0.852 0.140 0.008
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.1121 0.8268 0.000 0.000 0.956 0.044 0.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.3715 0.7244 0.260 0.000 0.004 0.736 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.1851 0.8371 0.000 0.088 0.000 0.000 0.912
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.8633 1.000 0.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.4178 0.6316 0.124 0.020 0.016 0.812 0.028
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.3940 0.4777 0.000 0.024 0.000 0.756 0.220
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.2692 0.8281 0.016 0.000 0.884 0.092 0.008
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.5257 0.4793 0.000 0.648 0.284 0.060 0.008
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.3690 0.7412 0.000 0.000 0.764 0.224 0.012
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.3861 0.7052 0.284 0.000 0.004 0.712 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.3534 0.7281 0.256 0.000 0.000 0.744 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.2329 0.8218 0.000 0.000 0.876 0.124 0.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.8633 1.000 0.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.2293 0.8074 0.000 0.000 0.900 0.016 0.084
#> 333F9855-9462-46B8-87C8-E9B01572C101 3 0.3550 0.7334 0.000 0.000 0.760 0.236 0.004
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.4149 0.7465 0.188 0.000 0.040 0.768 0.004
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.4383 0.4891 0.424 0.000 0.004 0.572 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.3814 0.7129 0.276 0.000 0.004 0.720 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0880 0.8671 0.000 0.968 0.000 0.000 0.032
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0609 0.8712 0.000 0.980 0.000 0.000 0.020
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.8633 1.000 0.000 0.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.1877 0.8257 0.924 0.000 0.012 0.064 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.8633 1.000 0.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.3266 0.7486 0.200 0.000 0.004 0.796 0.000
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#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 3 0.2424 0.8189 0.000 0.000 0.868 0.132 0.000
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.4323 0.6876 0.000 0.760 0.196 0.024 0.020
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.8633 1.000 0.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 4 0.3969 0.6874 0.304 0.000 0.004 0.692 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0404 0.8733 0.000 0.988 0.000 0.000 0.012
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.4449 0.3313 0.484 0.000 0.004 0.512 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.1082 0.8705 0.000 0.964 0.000 0.028 0.008
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.5520 0.5025 0.660 0.000 0.224 0.108 0.008
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 4 0.5059 0.7087 0.232 0.000 0.076 0.688 0.004
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.3697 0.6953 0.796 0.000 0.180 0.016 0.008
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.2965 0.6854 0.000 0.084 0.012 0.876 0.028
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.3661 0.7639 0.000 0.836 0.096 0.056 0.012
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0880 0.8671 0.000 0.968 0.000 0.000 0.032
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 3 0.4540 0.7668 0.076 0.000 0.768 0.144 0.012
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.4138 0.4117 0.000 0.616 0.000 0.000 0.384
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.3806 0.6915 0.040 0.000 0.152 0.804 0.004
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0162 0.8743 0.000 0.996 0.000 0.000 0.004
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.4781 0.0767 0.000 0.000 0.552 0.020 0.428
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0798 0.8745 0.000 0.976 0.000 0.008 0.016
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.2513 0.8228 0.000 0.000 0.876 0.116 0.008
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 3 0.3171 0.7894 0.000 0.000 0.816 0.176 0.008
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.2848 0.8091 0.000 0.868 0.000 0.104 0.028
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 3 0.6178 0.3800 0.000 0.128 0.572 0.012 0.288
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.1408 0.8274 0.000 0.000 0.948 0.044 0.008
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0740 0.8731 0.000 0.980 0.008 0.008 0.004
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.3884 0.4812 0.708 0.000 0.004 0.288 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.4508 0.3530 0.000 0.000 0.648 0.020 0.332
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.2648 0.7157 0.848 0.000 0.000 0.152 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.8633 1.000 0.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.4383 0.4989 0.424 0.000 0.004 0.572 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.4182 0.3729 0.000 0.600 0.000 0.000 0.400
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.3918 0.7404 0.000 0.008 0.752 0.232 0.008
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0798 0.8719 0.000 0.976 0.000 0.016 0.008
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.2286 0.7965 0.888 0.000 0.004 0.108 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.0955 0.8237 0.000 0.000 0.968 0.028 0.004
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.2708 0.8527 0.000 0.044 0.000 0.072 0.884
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.2770 0.8522 0.000 0.044 0.000 0.076 0.880
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.2770 0.8522 0.000 0.044 0.000 0.076 0.880
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 5 0.5581 0.6901 0.000 0.008 0.220 0.116 0.656
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.3794 0.7354 0.112 0.036 0.000 0.828 0.024
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.3884 0.7049 0.288 0.000 0.004 0.708 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.3766 0.7204 0.268 0.000 0.004 0.728 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.3997 0.7472 0.188 0.000 0.032 0.776 0.004
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.1818 0.8559 0.000 0.044 0.000 0.024 0.932
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.8633 1.000 0.000 0.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.1965 0.8319 0.000 0.096 0.000 0.000 0.904
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.2338 0.7924 0.884 0.000 0.004 0.112 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0963 0.8680 0.000 0.964 0.000 0.000 0.036
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.1364 0.8549 0.000 0.036 0.012 0.000 0.952
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.4001 0.6371 0.764 0.000 0.024 0.208 0.004
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.8633 1.000 0.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.1205 0.8022 0.000 0.000 0.956 0.004 0.040
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.8633 1.000 0.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0703 0.8699 0.000 0.976 0.000 0.000 0.024
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0510 0.8573 0.984 0.000 0.000 0.016 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 5 0.4229 0.6471 0.000 0.000 0.276 0.020 0.704
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.8633 1.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.2994 0.7972 0.864 0.016 0.004 0.112 0.004
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 4 0.5751 0.6323 0.244 0.064 0.012 0.660 0.020
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.8633 1.000 0.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.1300 0.8124 0.000 0.000 0.956 0.016 0.028
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 5 0.5581 0.6901 0.000 0.008 0.220 0.116 0.656
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.8633 1.000 0.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.2891 0.7570 0.000 0.176 0.000 0.000 0.824
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.4712 0.7284 0.216 0.000 0.060 0.720 0.004
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0162 0.8745 0.000 0.996 0.000 0.000 0.004
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.4249 0.2867 0.000 0.568 0.000 0.000 0.432
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.3530 0.7843 0.000 0.012 0.000 0.204 0.784
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.2863 0.8520 0.000 0.060 0.000 0.064 0.876
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0912 0.8183 0.000 0.000 0.972 0.016 0.012
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.3661 0.7120 0.276 0.000 0.000 0.724 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.1981 0.8238 0.920 0.000 0.016 0.064 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.3790 0.7158 0.272 0.000 0.004 0.724 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 3 0.5620 0.4458 0.000 0.116 0.612 0.000 0.272
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.2329 0.8218 0.000 0.000 0.876 0.124 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.8744 0.000 1.000 0.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.4510 0.6802 0.056 0.000 0.172 0.760 0.012
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.3534 0.7272 0.256 0.000 0.000 0.744 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.1393 0.8651 0.000 0.956 0.012 0.024 0.008
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.3672 0.7584 0.000 0.776 0.168 0.056 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 6 0.1434 0.7514 0.000 0.000 0.012 0.048 0.000 0.940
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.1398 0.5511 0.000 0.052 0.008 0.000 0.940 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.4168 0.5152 0.696 0.000 0.048 0.256 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 6 0.4995 0.1836 0.008 0.000 0.052 0.412 0.000 0.528
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 6 0.2930 0.7081 0.000 0.000 0.036 0.124 0.000 0.840
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 6 0.1644 0.7506 0.000 0.000 0.028 0.040 0.000 0.932
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 6 0.0972 0.7464 0.000 0.000 0.028 0.000 0.008 0.964
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.3817 0.3924 0.000 0.432 0.000 0.000 0.568 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.3967 0.5170 0.356 0.000 0.012 0.632 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.8371 0.000 1.000 0.000 0.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.5057 0.3338 0.000 0.016 0.404 0.544 0.012 0.024
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.3240 0.5389 0.000 0.244 0.004 0.000 0.752 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 6 0.3083 0.7019 0.000 0.000 0.040 0.132 0.000 0.828
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.2745 0.7761 0.860 0.000 0.020 0.112 0.000 0.008
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.6288 0.5060 0.156 0.000 0.056 0.544 0.000 0.244
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.4643 0.6356 0.116 0.000 0.156 0.716 0.000 0.012
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.3843 0.3521 0.000 0.452 0.000 0.000 0.548 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 6 0.3424 0.7011 0.000 0.000 0.096 0.092 0.000 0.812
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0146 0.8320 0.996 0.000 0.004 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 6 0.7416 -0.1128 0.000 0.024 0.368 0.108 0.128 0.372
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 6 0.2407 0.7444 0.004 0.000 0.048 0.056 0.000 0.892
#> C1323790-6C24-4E54-A266-AE66588C1DD5 6 0.0603 0.7528 0.000 0.000 0.004 0.016 0.000 0.980
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.2805 0.6775 0.184 0.000 0.004 0.812 0.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.1204 0.5546 0.000 0.056 0.000 0.000 0.944 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0363 0.8311 0.988 0.000 0.012 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 3 0.6827 -0.2433 0.056 0.012 0.412 0.396 0.004 0.120
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.6200 0.1292 0.000 0.016 0.416 0.440 0.108 0.020
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 6 0.2965 0.7354 0.000 0.000 0.072 0.080 0.000 0.848
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 6 0.6439 0.0897 0.000 0.368 0.112 0.056 0.004 0.460
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 6 0.3045 0.7112 0.000 0.000 0.060 0.100 0.000 0.840
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.2871 0.6735 0.192 0.000 0.004 0.804 0.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.2805 0.6775 0.184 0.000 0.004 0.812 0.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 6 0.1007 0.7529 0.000 0.000 0.000 0.044 0.000 0.956
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0363 0.8311 0.988 0.000 0.012 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 6 0.2325 0.7423 0.000 0.000 0.048 0.008 0.044 0.900
#> 333F9855-9462-46B8-87C8-E9B01572C101 6 0.3316 0.6931 0.000 0.000 0.052 0.136 0.000 0.812
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.4823 0.6624 0.084 0.000 0.052 0.728 0.000 0.136
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.3468 0.5905 0.284 0.000 0.004 0.712 0.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.2871 0.6735 0.192 0.000 0.004 0.804 0.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.2003 0.7684 0.000 0.884 0.000 0.000 0.116 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0713 0.8286 0.000 0.972 0.000 0.000 0.028 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0725 0.8283 0.976 0.000 0.012 0.012 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.2589 0.7976 0.888 0.000 0.028 0.060 0.000 0.024
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0508 0.8303 0.984 0.000 0.012 0.004 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.2595 0.6993 0.084 0.000 0.020 0.880 0.000 0.016
#> 9BDFB73A-076E-418B-B84E-381341688002 6 0.1434 0.7459 0.000 0.000 0.048 0.012 0.000 0.940
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0363 0.8349 0.000 0.988 0.000 0.000 0.012 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.4246 0.4213 0.000 0.408 0.008 0.000 0.576 0.008
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 4 0.4165 0.2808 0.452 0.000 0.012 0.536 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.3332 0.7789 0.000 0.808 0.144 0.048 0.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.3725 0.4982 0.676 0.000 0.008 0.316 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 5 0.3868 0.2667 0.000 0.492 0.000 0.000 0.508 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 6 0.6605 0.0355 0.000 0.372 0.164 0.052 0.000 0.412
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 6 0.6084 -0.0843 0.000 0.000 0.344 0.004 0.228 0.424
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.4855 0.5842 0.000 0.616 0.316 0.060 0.000 0.008
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.1036 0.8210 0.964 0.000 0.008 0.024 0.000 0.004
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.1923 0.8050 0.916 0.000 0.016 0.064 0.000 0.004
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.6096 0.5396 0.076 0.584 0.228 0.112 0.000 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0405 0.8376 0.000 0.988 0.008 0.000 0.004 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 6 0.2664 0.7254 0.000 0.000 0.136 0.016 0.000 0.848
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.8321 1.000 0.000 0.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 5 0.3838 0.3713 0.000 0.448 0.000 0.000 0.552 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 5 0.3189 0.3479 0.000 0.000 0.236 0.004 0.760 0.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.1204 0.8147 0.000 0.944 0.000 0.000 0.056 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 6 0.3620 0.5218 0.000 0.000 0.352 0.000 0.000 0.648
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.5124 0.6971 0.016 0.696 0.192 0.068 0.000 0.028
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#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0260 0.8359 0.000 0.992 0.000 0.000 0.008 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.3563 0.5142 0.336 0.000 0.000 0.664 0.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.2369 0.8256 0.000 0.904 0.048 0.008 0.032 0.008
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.6847 0.3394 0.484 0.000 0.108 0.152 0.000 0.256
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 4 0.5509 0.5621 0.060 0.000 0.100 0.656 0.000 0.184
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.4650 0.6516 0.728 0.000 0.068 0.036 0.000 0.168
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.5038 0.3381 0.000 0.048 0.372 0.564 0.000 0.016
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.6399 0.4255 0.000 0.528 0.160 0.060 0.000 0.252
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.1765 0.7867 0.000 0.904 0.000 0.000 0.096 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 6 0.3348 0.7132 0.016 0.000 0.064 0.084 0.000 0.836
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.3843 0.3521 0.000 0.452 0.000 0.000 0.548 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.3612 0.6216 0.000 0.000 0.104 0.796 0.000 0.100
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0363 0.8349 0.000 0.988 0.000 0.000 0.012 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.6106 0.3074 0.000 0.000 0.376 0.000 0.300 0.324
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0622 0.8376 0.000 0.980 0.008 0.000 0.012 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 6 0.1649 0.7527 0.000 0.000 0.016 0.040 0.008 0.936
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 6 0.3176 0.7178 0.000 0.000 0.084 0.084 0.000 0.832
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.4626 0.6079 0.000 0.652 0.272 0.076 0.000 0.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 6 0.5460 0.2802 0.000 0.104 0.012 0.000 0.324 0.560
#> 8DBE419E-A360-4493-AC3B-C145887D9237 6 0.1633 0.7551 0.000 0.000 0.044 0.024 0.000 0.932
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.3648 0.7862 0.000 0.812 0.124 0.044 0.004 0.016
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.4002 0.2405 0.588 0.000 0.008 0.404 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 6 0.5896 -0.0259 0.000 0.000 0.344 0.000 0.212 0.444
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.3819 0.4326 0.672 0.000 0.012 0.316 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.8321 1.000 0.000 0.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.3584 0.5594 0.308 0.000 0.004 0.688 0.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.3828 0.3838 0.000 0.440 0.000 0.000 0.560 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 6 0.4183 0.6343 0.000 0.000 0.152 0.108 0.000 0.740
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.4079 0.7689 0.000 0.780 0.140 0.056 0.004 0.020
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.3092 0.7697 0.840 0.000 0.028 0.120 0.000 0.012
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 6 0.0972 0.7498 0.000 0.000 0.028 0.008 0.000 0.964
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.2624 0.4429 0.000 0.000 0.148 0.004 0.844 0.004
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.2595 0.4304 0.000 0.000 0.160 0.004 0.836 0.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.2737 0.4294 0.000 0.000 0.160 0.004 0.832 0.004
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.4939 0.4498 0.000 0.000 0.496 0.000 0.440 0.064
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.4664 0.5193 0.024 0.016 0.264 0.680 0.000 0.016
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.2871 0.6735 0.192 0.000 0.004 0.804 0.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.3175 0.6834 0.164 0.000 0.028 0.808 0.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.3908 0.6905 0.092 0.000 0.028 0.800 0.000 0.080
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.1958 0.4857 0.000 0.000 0.100 0.000 0.896 0.004
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0951 0.8256 0.968 0.000 0.020 0.008 0.000 0.004
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.1765 0.5538 0.000 0.096 0.000 0.000 0.904 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.3445 0.6038 0.732 0.000 0.008 0.260 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.1501 0.8032 0.000 0.924 0.000 0.000 0.076 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.0964 0.5342 0.000 0.012 0.016 0.000 0.968 0.004
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.5943 0.5358 0.612 0.000 0.080 0.200 0.000 0.108
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0363 0.8311 0.988 0.000 0.012 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 6 0.3141 0.6557 0.000 0.000 0.200 0.000 0.012 0.788
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0146 0.8317 0.996 0.000 0.000 0.004 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.1267 0.8128 0.000 0.940 0.000 0.000 0.060 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.2191 0.7729 0.876 0.000 0.004 0.120 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 5 0.5807 -0.4316 0.000 0.000 0.376 0.000 0.440 0.184
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0363 0.8311 0.988 0.000 0.012 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.5152 0.6270 0.680 0.008 0.148 0.152 0.000 0.012
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 4 0.7888 0.2850 0.156 0.064 0.280 0.404 0.000 0.096
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0260 0.8316 0.992 0.000 0.008 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 6 0.2214 0.7246 0.000 0.000 0.092 0.004 0.012 0.892
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.4939 0.4498 0.000 0.000 0.496 0.000 0.440 0.064
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.1138 0.8225 0.960 0.000 0.024 0.012 0.000 0.004
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.3175 0.5388 0.000 0.256 0.000 0.000 0.744 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.3889 0.6663 0.048 0.000 0.072 0.808 0.000 0.072
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0551 0.8378 0.000 0.984 0.008 0.004 0.004 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.3817 0.3924 0.000 0.432 0.000 0.000 0.568 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.5609 -0.0615 0.000 0.008 0.416 0.112 0.464 0.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.2243 0.4816 0.000 0.004 0.112 0.004 0.880 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 6 0.2264 0.7290 0.000 0.000 0.096 0.004 0.012 0.888
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.2805 0.6775 0.184 0.000 0.004 0.812 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.2838 0.7909 0.872 0.000 0.032 0.072 0.000 0.024
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.2838 0.6755 0.188 0.000 0.004 0.808 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 6 0.5595 0.1697 0.000 0.088 0.012 0.004 0.396 0.500
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 6 0.1124 0.7531 0.000 0.000 0.008 0.036 0.000 0.956
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0363 0.8349 0.000 0.988 0.000 0.000 0.012 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.4533 0.6124 0.028 0.000 0.056 0.724 0.000 0.192
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.2632 0.6855 0.164 0.000 0.004 0.832 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.3943 0.7728 0.000 0.784 0.144 0.056 0.004 0.012
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "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 17416 rows and 433 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.947 0.945 0.977 0.5014 0.499 0.499
#> 3 3 0.878 0.908 0.961 0.3011 0.788 0.600
#> 4 4 0.710 0.589 0.761 0.1282 0.805 0.509
#> 5 5 0.844 0.833 0.924 0.0864 0.865 0.538
#> 6 6 0.800 0.658 0.826 0.0337 0.957 0.801
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.9710 0.3248 0.400 0.600
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.0000 0.9842 0.000 1.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0000 0.9842 0.000 1.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.9690 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0000 0.9690 1.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.0000 0.9690 1.000 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.9635 0.3927 0.612 0.388
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.0000 0.9842 0.000 1.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.9842 0.000 1.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.9690 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9842 0.000 1.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.2948 0.9229 0.948 0.052
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.9842 0.000 1.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.0000 0.9690 1.000 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9690 1.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.9690 1.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0000 0.9690 1.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.9842 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 2 0.7950 0.6777 0.240 0.760
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.9690 1.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0000 0.9842 0.000 1.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.9608 0.4042 0.616 0.384
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.0000 0.9842 0.000 1.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.9690 1.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.9842 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9690 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.8144 0.6746 0.748 0.252
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.0000 0.9842 0.000 1.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0000 0.9690 1.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.9842 0.000 1.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.1633 0.9484 0.976 0.024
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.9690 1.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.9690 1.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 2 0.0000 0.9842 0.000 1.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9690 1.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.0000 0.9842 0.000 1.000
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.5946 0.8257 0.856 0.144
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.9690 1.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.9690 1.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.9690 1.000 0.000
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#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.1414 0.9663 0.020 0.980
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.9842 0.000 1.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.0000 0.9842 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.9690 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.9690 1.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.9690 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.9842 0.000 1.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.9993 0.0945 0.516 0.484
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.9842 0.000 1.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.9690 1.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.9690 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.9842 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.970 0.000 1.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.0000 0.935 0.000 0.000 1.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.2878 0.884 0.000 0.904 0.096
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.960 1.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.1289 0.933 0.968 0.000 0.032
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.3116 0.845 0.108 0.000 0.892
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.0000 0.935 0.000 0.000 1.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.0000 0.935 0.000 0.000 1.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.970 0.000 1.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.960 1.000 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.970 0.000 1.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.5397 0.605 0.280 0.720 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.970 0.000 1.000 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.3116 0.845 0.108 0.000 0.892
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.960 1.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.1289 0.933 0.968 0.000 0.032
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0000 0.960 1.000 0.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.970 0.000 1.000 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.0000 0.935 0.000 0.000 1.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.960 1.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0000 0.970 0.000 1.000 0.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.0000 0.935 0.000 0.000 1.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0000 0.935 0.000 0.000 1.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.960 1.000 0.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.970 0.000 1.000 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.960 1.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.4931 0.680 0.232 0.768 0.000
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.0000 0.970 0.000 1.000 0.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.2261 0.884 0.068 0.000 0.932
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.970 0.000 1.000 0.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.5591 0.552 0.304 0.000 0.696
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.960 1.000 0.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.960 1.000 0.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.0000 0.935 0.000 0.000 1.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.960 1.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.0000 0.935 0.000 0.000 1.000
#> 333F9855-9462-46B8-87C8-E9B01572C101 3 0.8037 0.381 0.352 0.076 0.572
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.960 1.000 0.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.960 1.000 0.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.960 1.000 0.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.970 0.000 1.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.970 0.000 1.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.960 1.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.960 1.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.960 1.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.960 1.000 0.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0000 0.935 0.000 0.000 1.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.970 0.000 1.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.970 0.000 1.000 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.960 1.000 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.970 0.000 1.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.960 1.000 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.970 0.000 1.000 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.6215 0.234 0.000 0.572 0.428
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.935 0.000 0.000 1.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0000 0.970 0.000 1.000 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.960 1.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.960 1.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.1753 0.914 0.952 0.048 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.970 0.000 1.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.0000 0.935 0.000 0.000 1.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.960 1.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.970 0.000 1.000 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.0000 0.970 0.000 1.000 0.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.970 0.000 1.000 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0000 0.935 0.000 0.000 1.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.5431 0.597 0.284 0.716 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0000 0.935 0.000 0.000 1.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.6008 0.411 0.628 0.372 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 1 0.6026 0.401 0.624 0.376 0.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.970 0.000 1.000 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.0000 0.935 0.000 0.000 1.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.0000 0.935 0.000 0.000 1.000
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0000 0.960 1.000 0.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.970 0.000 1.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.935 0.000 0.000 1.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.970 0.000 1.000 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.6079 0.370 0.612 0.388 0.000
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0000 0.960 1.000 0.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0000 0.960 1.000 0.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.0000 0.970 0.000 1.000 0.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.970 0.000 1.000 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 3 0.6252 0.189 0.444 0.000 0.556
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0000 0.960 1.000 0.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0000 0.935 0.000 0.000 1.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0000 0.960 1.000 0.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.0000 0.935 0.000 0.000 1.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 3 0.6026 0.387 0.376 0.000 0.624
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0000 0.960 1.000 0.000 0.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.960 1.000 0.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0000 0.970 0.000 1.000 0.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 3 0.0000 0.935 0.000 0.000 1.000
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 3 0.0000 0.935 0.000 0.000 1.000
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.0000 0.960 1.000 0.000 0.000
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.4974 0.689 0.764 0.000 0.236
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.0000 0.960 1.000 0.000 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.0000 0.960 1.000 0.000 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.0000 0.970 0.000 1.000 0.000
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.0237 0.957 0.996 0.000 0.004
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0000 0.970 0.000 1.000 0.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.0000 0.960 1.000 0.000 0.000
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.1753 0.914 0.952 0.048 0.000
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.4555 0.736 0.000 0.200 0.800
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 3 0.0000 0.935 0.000 0.000 1.000
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 0.970 0.000 1.000 0.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 3 0.0592 0.927 0.000 0.012 0.988
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.0000 0.935 0.000 0.000 1.000
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 3 0.0000 0.935 0.000 0.000 1.000
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.0000 0.960 1.000 0.000 0.000
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0000 0.960 1.000 0.000 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.0000 0.935 0.000 0.000 1.000
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.0000 0.960 1.000 0.000 0.000
#> B54317C9-8704-42A6-BE96-E12855874596 3 0.4931 0.688 0.000 0.232 0.768
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.0000 0.960 1.000 0.000 0.000
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0000 0.970 0.000 1.000 0.000
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.0000 0.960 1.000 0.000 0.000
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 3 0.0000 0.935 0.000 0.000 1.000
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 1 0.0000 0.960 1.000 0.000 0.000
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.0000 0.970 0.000 1.000 0.000
#> A6177818-114B-437B-9928-A6747A788109 1 0.0000 0.960 1.000 0.000 0.000
#> E7064800-48FD-492A-A074-84A0B2452445 3 0.0000 0.935 0.000 0.000 1.000
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.0000 0.970 0.000 1.000 0.000
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0000 0.960 1.000 0.000 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.0000 0.970 0.000 1.000 0.000
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.0000 0.935 0.000 0.000 1.000
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 1 0.0000 0.960 1.000 0.000 0.000
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 1 0.0000 0.960 1.000 0.000 0.000
#> EB235E9A-E453-4108-AD4F-31260F4340A6 3 0.1163 0.916 0.028 0.000 0.972
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 1 0.0000 0.960 1.000 0.000 0.000
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 3 0.0000 0.935 0.000 0.000 1.000
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.0000 0.960 1.000 0.000 0.000
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 1 0.0000 0.960 1.000 0.000 0.000
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 1 0.0000 0.960 1.000 0.000 0.000
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 3 0.0000 0.935 0.000 0.000 1.000
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 3 0.0000 0.935 0.000 0.000 1.000
#> 94128D59-A5BB-4460-A671-5E1571726C4D 3 0.5835 0.482 0.000 0.340 0.660
#> 12BE2E3A-1B57-4EEE-B130-E70B6BE5A96B 1 0.0000 0.960 1.000 0.000 0.000
#> 66600553-0E68-405C-81A3-4064DA18737D 2 0.3482 0.850 0.000 0.872 0.128
#> C65B6272-DD2B-4075-963B-746F8904B395 2 0.0000 0.970 0.000 1.000 0.000
#> EC7F0653-0AC0-47AF-A6A2-0475E149065F 1 0.5706 0.515 0.680 0.000 0.320
#> 3EEB805B-3DC3-47AD-9D83-672D39333B8F 3 0.3038 0.849 0.104 0.000 0.896
#> ECC99215-F4FB-40D3-A44D-549D681F0CAD 3 0.4555 0.736 0.000 0.200 0.800
#> ED242FAE-14D1-4804-9C96-281197D485A4 3 0.3112 0.859 0.004 0.096 0.900
#> 3BB9FC05-3230-4C65-9259-ED8FE65AD473 1 0.0000 0.960 1.000 0.000 0.000
#> 57C51F55-9F3A-44F0-99DB-EE3557C04373 1 0.0000 0.960 1.000 0.000 0.000
#> 90F8EB31-A33C-4434-90FC-B6721774D68C 3 0.0000 0.935 0.000 0.000 1.000
#> 6516F0BC-00E2-40E6-9B9D-420F0DA30FA5 1 0.0000 0.960 1.000 0.000 0.000
#> 0CCE788F-74E5-4562-82EA-EB39912298E4 2 0.0000 0.970 0.000 1.000 0.000
#> 1B2E1531-7C1F-4BAF-BC45-42425B7B8891 2 0.0000 0.970 0.000 1.000 0.000
#> 1CA3C03E-20A1-401E-BE97-12D0E506AFB8 1 0.0000 0.960 1.000 0.000 0.000
#> C3C5472C-21A7-4F22-AEE7-514902873770 2 0.3340 0.859 0.000 0.880 0.120
#> 63351C27-1DF5-45FD-A08F-6AD2B2AF8BBF 1 0.0000 0.960 1.000 0.000 0.000
#> E6982FF2-C754-4998-8C38-83CAA07151B4 1 0.0000 0.960 1.000 0.000 0.000
#> 2F3FD524-6F59-46C0-99FA-6CAA0C423061 1 0.4555 0.744 0.800 0.000 0.200
#> 1956427F-FBE0-46C9-BCB2-28CFFB4E3169 3 0.0000 0.935 0.000 0.000 1.000
#> F12BD7C5-699C-4F80-B02C-CFA9D8BBD99C 1 0.0000 0.960 1.000 0.000 0.000
#> ED8A6EE1-399E-444C-BEA5-1B32AAF46334 2 0.0000 0.970 0.000 1.000 0.000
#> F0E550CA-CB04-4202-9AEA-EAE1C295EB6E 1 0.0000 0.960 1.000 0.000 0.000
#> 80F493DC-D202-4FB0-803B-3A4FA2C85824 1 0.6204 0.273 0.576 0.000 0.424
#> 54539B90-4EEC-4579-89F4-5EFC4FB4CC51 1 0.3816 0.811 0.852 0.000 0.148
#> BB8A3F9E-830A-45E2-A1EC-50020C63A7C9 2 0.3038 0.875 0.000 0.896 0.104
#> B387E79E-742F-418B-8AAB-0C721218A7D2 2 0.3482 0.850 0.000 0.872 0.128
#> 69D6650D-0188-4FA7-B934-3FC0D36F9CAA 2 0.0000 0.970 0.000 1.000 0.000
#> 910A82C8-4FE3-42E3-AF3E-FB94908018B2 1 0.0000 0.960 1.000 0.000 0.000
#> 4EF67F08-BF9C-42F3-938B-CDED571BCFF4 2 0.0000 0.970 0.000 1.000 0.000
#> 285269A3-BAD7-4958-BE76-66521529881D 3 0.0000 0.935 0.000 0.000 1.000
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#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 3 0.6095 0.347 0.392 0.000 0.608
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 3 0.0000 0.935 0.000 0.000 1.000
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.960 1.000 0.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.6026 0.405 0.624 0.000 0.376
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.0000 0.960 1.000 0.000 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.960 1.000 0.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.0000 0.960 1.000 0.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 3 0.0000 0.935 0.000 0.000 1.000
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 3 0.6235 0.232 0.000 0.436 0.564
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.960 1.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.960 1.000 0.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.970 0.000 1.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.960 1.000 0.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.970 0.000 1.000 0.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.960 1.000 0.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0000 0.960 1.000 0.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.5733 0.506 0.676 0.000 0.324
#> FAA38111-F046-4ACD-B787-764A17EAF548 1 0.5291 0.638 0.732 0.268 0.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.0000 0.970 0.000 1.000 0.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.970 0.000 1.000 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.6045 0.395 0.620 0.000 0.380
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.970 0.000 1.000 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.4654 0.726 0.792 0.208 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.970 0.000 1.000 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.935 0.000 0.000 1.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.970 0.000 1.000 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.0000 0.935 0.000 0.000 1.000
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 3 0.0000 0.935 0.000 0.000 1.000
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.970 0.000 1.000 0.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0000 0.970 0.000 1.000 0.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.0000 0.935 0.000 0.000 1.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0237 0.966 0.000 0.996 0.004
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.960 1.000 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.935 0.000 0.000 1.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.960 1.000 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.960 1.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.960 1.000 0.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.970 0.000 1.000 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.1643 0.903 0.000 0.044 0.956
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.970 0.000 1.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.960 1.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.0000 0.935 0.000 0.000 1.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 0.970 0.000 1.000 0.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0000 0.970 0.000 1.000 0.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0000 0.970 0.000 1.000 0.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.4555 0.736 0.000 0.200 0.800
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0000 0.960 1.000 0.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.960 1.000 0.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.960 1.000 0.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.960 1.000 0.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.970 0.000 1.000 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.960 1.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.970 0.000 1.000 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.960 1.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.970 0.000 1.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.3482 0.850 0.000 0.872 0.128
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.960 1.000 0.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.960 1.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.935 0.000 0.000 1.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.960 1.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.970 0.000 1.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.960 1.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.935 0.000 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.960 1.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0000 0.960 1.000 0.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0000 0.960 1.000 0.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.960 1.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0000 0.935 0.000 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.4555 0.736 0.000 0.200 0.800
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.960 1.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.970 0.000 1.000 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.960 1.000 0.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.970 0.000 1.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.970 0.000 1.000 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.0000 0.970 0.000 1.000 0.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.970 0.000 1.000 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.935 0.000 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.960 1.000 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.960 1.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.960 1.000 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0892 0.954 0.000 0.980 0.020
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.0000 0.935 0.000 0.000 1.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.970 0.000 1.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.4235 0.776 0.824 0.000 0.176
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.960 1.000 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.970 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.81670 0.000 1.000 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.4994 0.71503 0.000 0.000 0.520 0.480
#> B5567E00-32AA-48D8-8087-1088C22B0994 3 0.4605 -0.12578 0.000 0.336 0.664 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.90970 1.000 0.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.2281 0.80662 0.904 0.000 0.000 0.096
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.5132 -0.25982 0.068 0.000 0.184 0.748
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.4994 0.71503 0.000 0.000 0.520 0.480
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.4994 0.71503 0.000 0.000 0.520 0.480
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.4804 0.64183 0.000 0.616 0.384 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.4994 0.48397 0.480 0.000 0.000 0.520
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.81670 0.000 1.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.4994 0.24408 0.000 0.000 0.480 0.520
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.4817 0.63874 0.000 0.612 0.388 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.1716 0.04032 0.000 0.000 0.064 0.936
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.90970 1.000 0.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.4304 0.42078 0.716 0.000 0.000 0.284
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.4994 0.48397 0.480 0.000 0.000 0.520
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.4164 0.71807 0.000 0.736 0.264 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.4994 0.71503 0.000 0.000 0.520 0.480
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.90970 1.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.4994 0.56244 0.000 0.520 0.480 0.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 4 0.7592 -0.40577 0.268 0.000 0.252 0.480
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.4994 0.71503 0.000 0.000 0.520 0.480
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.4994 0.48397 0.480 0.000 0.000 0.520
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.4925 0.60572 0.000 0.572 0.428 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.90970 1.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 3 0.8162 -0.05792 0.336 0.044 0.480 0.140
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 3 0.7566 -0.28246 0.000 0.292 0.480 0.228
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 4 0.7558 -0.36296 0.296 0.000 0.224 0.480
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.81670 0.000 1.000 0.000 0.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.5250 -0.09622 0.196 0.000 0.068 0.736
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.4994 0.48397 0.480 0.000 0.000 0.520
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.4994 0.48397 0.480 0.000 0.000 0.520
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.4994 0.71503 0.000 0.000 0.520 0.480
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.90970 1.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.4994 0.71503 0.000 0.000 0.520 0.480
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.0469 0.14773 0.000 0.000 0.012 0.988
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.4994 0.48397 0.480 0.000 0.000 0.520
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.4994 0.48397 0.480 0.000 0.000 0.520
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.4994 0.48397 0.480 0.000 0.000 0.520
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.81670 0.000 1.000 0.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.81670 0.000 1.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.90970 1.000 0.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.90970 1.000 0.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.90970 1.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.4994 0.48397 0.480 0.000 0.000 0.520
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.4994 0.71503 0.000 0.000 0.520 0.480
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.81670 0.000 1.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.4830 0.63565 0.000 0.608 0.392 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.3444 0.62539 0.816 0.000 0.000 0.184
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.81670 0.000 1.000 0.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.90970 1.000 0.000 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.4164 0.71807 0.000 0.736 0.264 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.4564 0.35171 0.000 0.672 0.328 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.4994 0.71503 0.000 0.000 0.520 0.480
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0000 0.81670 0.000 1.000 0.000 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.90970 1.000 0.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.90970 1.000 0.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.7345 0.07103 0.348 0.484 0.000 0.168
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.81670 0.000 1.000 0.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.4994 0.71503 0.000 0.000 0.520 0.480
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.90970 1.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.4643 0.66941 0.000 0.656 0.344 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 3 0.4999 -0.53198 0.000 0.492 0.508 0.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.81670 0.000 1.000 0.000 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.4994 0.71503 0.000 0.000 0.520 0.480
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.1716 0.76399 0.064 0.936 0.000 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.4994 0.71503 0.000 0.000 0.520 0.480
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 4 0.7521 0.35749 0.220 0.292 0.000 0.488
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.7336 0.43474 0.284 0.000 0.196 0.520
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.81670 0.000 1.000 0.000 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.4994 0.71503 0.000 0.000 0.520 0.480
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.5406 0.70325 0.012 0.000 0.508 0.480
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.4994 0.48397 0.480 0.000 0.000 0.520
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.81670 0.000 1.000 0.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.4994 0.71503 0.000 0.000 0.520 0.480
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.81670 0.000 1.000 0.000 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.7377 0.42909 0.264 0.000 0.216 0.520
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.4994 0.48397 0.480 0.000 0.000 0.520
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.4994 0.48397 0.480 0.000 0.000 0.520
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.0000 0.81670 0.000 1.000 0.000 0.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.4761 0.65043 0.000 0.628 0.372 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.4994 0.24408 0.000 0.000 0.480 0.520
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#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0000 0.90970 1.000 0.000 0.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.90970 1.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.4994 0.71503 0.000 0.000 0.520 0.480
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.47458 0.000 0.000 1.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.90970 1.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.4898 0.61607 0.000 0.584 0.416 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.4994 0.48397 0.480 0.000 0.000 0.520
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.81670 0.000 1.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.4925 0.60637 0.000 0.572 0.428 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.5000 0.54127 0.000 0.504 0.496 0.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.4994 0.56244 0.000 0.520 0.480 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.4994 0.71503 0.000 0.000 0.520 0.480
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.4994 0.48397 0.480 0.000 0.000 0.520
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.90970 1.000 0.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.4994 0.48397 0.480 0.000 0.000 0.520
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.5212 0.60619 0.000 0.572 0.420 0.008
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.4994 0.71503 0.000 0.000 0.520 0.480
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.81670 0.000 1.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.4624 0.45797 0.340 0.000 0.000 0.660
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.4994 0.48397 0.480 0.000 0.000 0.520
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.81670 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 9.61e-01 0.000 1.000 0.000 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.0162 9.28e-01 0.000 0.000 0.996 0.000 0.004
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.0703 8.99e-01 0.000 0.024 0.000 0.000 0.976
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.1544 8.71e-01 0.932 0.000 0.000 0.068 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.4655 4.82e-02 0.512 0.000 0.012 0.476 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.0579 9.21e-01 0.008 0.000 0.984 0.008 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.0290 9.25e-01 0.008 0.000 0.992 0.000 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.0162 9.28e-01 0.000 0.000 0.996 0.000 0.004
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.0794 8.98e-01 0.000 0.028 0.000 0.000 0.972
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.1043 8.73e-01 0.040 0.000 0.000 0.960 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 9.61e-01 0.000 1.000 0.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.1792 8.36e-01 0.000 0.000 0.000 0.916 0.084
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.0703 8.99e-01 0.000 0.024 0.000 0.000 0.976
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.4015 4.47e-01 0.000 0.000 0.652 0.348 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0324 9.21e-01 0.992 0.000 0.004 0.000 0.004
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.4182 4.44e-01 0.352 0.000 0.004 0.644 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0290 8.88e-01 0.008 0.000 0.000 0.992 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.2471 8.28e-01 0.000 0.136 0.000 0.000 0.864
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.0000 9.28e-01 0.000 0.000 1.000 0.000 0.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 9.21e-01 1.000 0.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 5 0.0451 8.99e-01 0.000 0.004 0.000 0.008 0.988
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.1638 8.73e-01 0.064 0.000 0.932 0.000 0.004
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0162 9.28e-01 0.000 0.000 0.996 0.000 0.004
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.0290 8.88e-01 0.008 0.000 0.000 0.992 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.0703 8.99e-01 0.000 0.024 0.000 0.000 0.976
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 9.21e-01 1.000 0.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 5 0.5035 5.53e-01 0.076 0.000 0.000 0.252 0.672
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 5 0.2179 8.23e-01 0.000 0.000 0.000 0.112 0.888
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.0000 9.28e-01 0.000 0.000 1.000 0.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0404 9.54e-01 0.000 0.988 0.000 0.000 0.012
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.5931 4.77e-01 0.200 0.000 0.596 0.204 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.0290 8.88e-01 0.008 0.000 0.000 0.992 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0290 8.88e-01 0.008 0.000 0.000 0.992 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.0162 9.28e-01 0.000 0.000 0.996 0.000 0.004
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 9.21e-01 1.000 0.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.4264 3.65e-01 0.004 0.000 0.620 0.000 0.376
#> 333F9855-9462-46B8-87C8-E9B01572C101 3 0.4268 1.88e-01 0.000 0.000 0.556 0.444 0.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.0703 8.82e-01 0.024 0.000 0.000 0.976 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.0290 8.88e-01 0.008 0.000 0.000 0.992 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0290 8.88e-01 0.008 0.000 0.000 0.992 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0290 9.56e-01 0.000 0.992 0.000 0.000 0.008
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 9.61e-01 0.000 1.000 0.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 9.21e-01 1.000 0.000 0.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0324 9.21e-01 0.992 0.000 0.004 0.000 0.004
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 9.21e-01 1.000 0.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.0290 8.88e-01 0.008 0.000 0.000 0.992 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0162 9.28e-01 0.000 0.000 0.996 0.000 0.004
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 9.61e-01 0.000 1.000 0.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.0703 8.99e-01 0.000 0.024 0.000 0.000 0.976
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 4 0.3949 4.98e-01 0.332 0.000 0.000 0.668 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 9.61e-01 0.000 1.000 0.000 0.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0162 9.21e-01 0.996 0.000 0.000 0.000 0.004
#> 16463364-F250-4D42-B5C6-309333E40B83 5 0.2929 7.85e-01 0.000 0.180 0.000 0.000 0.820
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0162 9.58e-01 0.000 0.996 0.004 0.000 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0162 9.28e-01 0.000 0.000 0.996 0.000 0.004
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0000 9.61e-01 0.000 1.000 0.000 0.000 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 9.21e-01 1.000 0.000 0.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0324 9.21e-01 0.992 0.000 0.004 0.000 0.004
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.2674 8.12e-01 0.140 0.856 0.000 0.000 0.004
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 9.61e-01 0.000 1.000 0.000 0.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.0000 9.28e-01 0.000 0.000 1.000 0.000 0.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 9.21e-01 1.000 0.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 5 0.1608 8.76e-01 0.000 0.072 0.000 0.000 0.928
#> D6654189-0570-4603-8C92-3032F2CF7EF3 5 0.0451 8.99e-01 0.000 0.004 0.000 0.008 0.988
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 9.61e-01 0.000 1.000 0.000 0.000 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0000 9.28e-01 0.000 0.000 1.000 0.000 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.1831 8.84e-01 0.076 0.920 0.000 0.000 0.004
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0162 9.28e-01 0.000 0.000 0.996 0.000 0.004
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.4982 6.43e-01 0.200 0.700 0.000 0.100 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.0609 8.77e-01 0.000 0.000 0.000 0.980 0.020
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 9.61e-01 0.000 1.000 0.000 0.000 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.0000 9.28e-01 0.000 0.000 1.000 0.000 0.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.0000 9.28e-01 0.000 0.000 1.000 0.000 0.000
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.0290 8.88e-01 0.008 0.000 0.000 0.992 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0162 9.59e-01 0.000 0.996 0.000 0.000 0.004
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0162 9.28e-01 0.000 0.000 0.996 0.000 0.004
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 9.61e-01 0.000 1.000 0.000 0.000 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.0609 8.77e-01 0.000 0.000 0.000 0.980 0.020
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.0290 8.88e-01 0.008 0.000 0.000 0.992 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.0290 8.88e-01 0.008 0.000 0.000 0.992 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.0000 9.61e-01 0.000 1.000 0.000 0.000 0.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 5 0.0963 8.95e-01 0.000 0.036 0.000 0.000 0.964
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.2329 8.01e-01 0.000 0.000 0.000 0.876 0.124
#> A8AE6F61-125B-4103-9F45-3F4C86234826 4 0.0290 8.88e-01 0.008 0.000 0.000 0.992 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0162 9.28e-01 0.000 0.000 0.996 0.000 0.004
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0865 9.06e-01 0.972 0.000 0.000 0.024 0.004
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.0290 9.26e-01 0.000 0.000 0.992 0.000 0.008
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.0703 8.75e-01 0.000 0.000 0.000 0.976 0.024
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0324 9.21e-01 0.992 0.000 0.004 0.000 0.004
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0324 9.21e-01 0.992 0.000 0.004 0.000 0.004
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.2377 8.31e-01 0.000 0.872 0.000 0.000 0.128
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 3 0.0324 9.27e-01 0.004 0.000 0.992 0.000 0.004
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 4 0.3508 6.36e-01 0.000 0.000 0.000 0.748 0.252
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.4135 4.74e-01 0.656 0.000 0.004 0.340 0.000
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 4 0.2864 7.85e-01 0.012 0.000 0.136 0.852 0.000
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 4 0.0290 8.88e-01 0.008 0.000 0.000 0.992 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 4 0.4268 2.00e-01 0.444 0.000 0.000 0.556 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 5 0.0162 9.00e-01 0.000 0.004 0.000 0.000 0.996
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.4150 3.63e-01 0.612 0.000 0.000 0.388 0.000
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.3074 7.27e-01 0.000 0.804 0.000 0.000 0.196
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 4 0.3266 7.26e-01 0.200 0.004 0.000 0.796 0.000
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.4595 4.88e-02 0.488 0.504 0.004 0.000 0.004
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 5 0.4446 3.60e-01 0.000 0.000 0.400 0.008 0.592
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 3 0.0000 9.28e-01 0.000 0.000 1.000 0.000 0.000
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 9.61e-01 0.000 1.000 0.000 0.000 0.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 4 0.4150 3.48e-01 0.000 0.000 0.388 0.612 0.000
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.0162 9.28e-01 0.000 0.000 0.996 0.000 0.004
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 3 0.0451 9.24e-01 0.008 0.000 0.988 0.000 0.004
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.1908 8.47e-01 0.908 0.000 0.000 0.092 0.000
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0000 9.21e-01 1.000 0.000 0.000 0.000 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.0162 9.28e-01 0.000 0.000 0.996 0.000 0.004
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 4 0.0290 8.88e-01 0.008 0.000 0.000 0.992 0.000
#> B54317C9-8704-42A6-BE96-E12855874596 5 0.1965 8.49e-01 0.000 0.000 0.096 0.000 0.904
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.0324 9.21e-01 0.992 0.000 0.004 0.000 0.004
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0000 9.61e-01 0.000 1.000 0.000 0.000 0.000
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.2339 8.40e-01 0.892 0.000 0.004 0.100 0.004
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 3 0.0000 9.28e-01 0.000 0.000 1.000 0.000 0.000
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 4 0.1121 8.71e-01 0.044 0.000 0.000 0.956 0.000
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.0609 9.45e-01 0.000 0.980 0.000 0.000 0.020
#> A6177818-114B-437B-9928-A6747A788109 1 0.0324 9.21e-01 0.992 0.000 0.004 0.000 0.004
#> E7064800-48FD-492A-A074-84A0B2452445 3 0.0000 9.28e-01 0.000 0.000 1.000 0.000 0.000
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 5 0.2813 7.98e-01 0.000 0.168 0.000 0.000 0.832
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0000 9.21e-01 1.000 0.000 0.000 0.000 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 5 0.2732 8.07e-01 0.000 0.160 0.000 0.000 0.840
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.0162 9.28e-01 0.000 0.000 0.996 0.000 0.004
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 4 0.0290 8.88e-01 0.008 0.000 0.000 0.992 0.000
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 4 0.0290 8.88e-01 0.008 0.000 0.000 0.992 0.000
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#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0324 9.21e-01 0.992 0.000 0.004 0.000 0.004
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.0290 8.88e-01 0.008 0.000 0.000 0.992 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.0771 8.95e-01 0.000 0.004 0.020 0.000 0.976
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.0000 9.28e-01 0.000 0.000 1.000 0.000 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 9.61e-01 0.000 1.000 0.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.0579 8.83e-01 0.008 0.000 0.008 0.984 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0290 8.88e-01 0.008 0.000 0.000 0.992 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 9.61e-01 0.000 1.000 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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0547 0.90146 0.000 0.980 0.000 0.000 0.000 0.020
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.3464 0.47590 0.000 0.000 0.688 0.000 0.000 0.312
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.4122 0.79135 0.000 0.004 0.004 0.000 0.520 0.472
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.3014 0.83683 0.832 0.000 0.000 0.036 0.000 0.132
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.5783 0.32944 0.280 0.000 0.000 0.500 0.000 0.220
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 6 0.5532 0.26417 0.000 0.000 0.384 0.136 0.000 0.480
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.4258 0.04288 0.000 0.000 0.516 0.016 0.000 0.468
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.2730 0.60459 0.000 0.000 0.808 0.000 0.000 0.192
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.4336 0.79059 0.000 0.020 0.000 0.000 0.504 0.476
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.3041 0.68563 0.040 0.000 0.000 0.832 0.000 0.128
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0260 0.90676 0.000 0.992 0.000 0.000 0.000 0.008
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.4534 0.38077 0.000 0.000 0.000 0.492 0.476 0.032
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.4093 0.79226 0.000 0.008 0.000 0.000 0.516 0.476
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.6075 -0.00337 0.008 0.000 0.472 0.224 0.000 0.296
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0291 0.89262 0.992 0.000 0.000 0.004 0.000 0.004
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.5054 0.35869 0.084 0.000 0.000 0.548 0.000 0.368
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.3455 0.68760 0.036 0.000 0.000 0.816 0.132 0.016
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.4472 0.78762 0.000 0.028 0.000 0.000 0.496 0.476
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.2020 0.66721 0.008 0.000 0.896 0.000 0.000 0.096
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.1267 0.88918 0.940 0.000 0.000 0.000 0.000 0.060
#> 82341457-7386-4C56-9DAF-A8F020055685 5 0.2762 0.63889 0.000 0.000 0.000 0.000 0.804 0.196
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.5241 0.28363 0.120 0.000 0.568 0.000 0.000 0.312
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.3309 0.50689 0.000 0.000 0.720 0.000 0.000 0.280
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.0858 0.74992 0.028 0.000 0.000 0.968 0.000 0.004
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.4093 0.79226 0.000 0.008 0.000 0.000 0.516 0.476
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.2135 0.86034 0.872 0.000 0.000 0.000 0.000 0.128
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 5 0.5386 0.00205 0.036 0.000 0.000 0.104 0.648 0.212
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 5 0.3483 0.13088 0.000 0.000 0.000 0.236 0.748 0.016
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.1649 0.67357 0.032 0.000 0.932 0.000 0.000 0.036
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.3052 0.75893 0.000 0.780 0.000 0.000 0.004 0.216
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 6 0.6012 0.31483 0.012 0.000 0.344 0.172 0.000 0.472
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.0858 0.74992 0.028 0.000 0.000 0.968 0.000 0.004
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0858 0.74992 0.028 0.000 0.000 0.968 0.000 0.004
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.3390 0.49714 0.000 0.000 0.704 0.000 0.000 0.296
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.2092 0.86264 0.876 0.000 0.000 0.000 0.000 0.124
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.5235 0.06017 0.000 0.000 0.520 0.000 0.100 0.380
#> 333F9855-9462-46B8-87C8-E9B01572C101 3 0.6228 -0.19071 0.004 0.000 0.372 0.328 0.000 0.296
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.3652 0.52070 0.004 0.000 0.000 0.672 0.000 0.324
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.0858 0.74992 0.028 0.000 0.000 0.968 0.000 0.004
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0858 0.74992 0.028 0.000 0.000 0.968 0.000 0.004
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.2146 0.85421 0.000 0.880 0.000 0.000 0.004 0.116
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.1075 0.89962 0.000 0.952 0.000 0.000 0.000 0.048
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.2278 0.85902 0.868 0.000 0.000 0.004 0.000 0.128
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0603 0.88892 0.980 0.000 0.000 0.004 0.000 0.016
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.2278 0.85902 0.868 0.000 0.000 0.004 0.000 0.128
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.0363 0.74114 0.000 0.000 0.000 0.988 0.000 0.012
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0632 0.68998 0.000 0.000 0.976 0.000 0.000 0.024
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0713 0.90507 0.000 0.972 0.000 0.000 0.000 0.028
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.4181 0.79200 0.000 0.012 0.000 0.000 0.512 0.476
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 4 0.4583 0.57226 0.176 0.000 0.000 0.696 0.000 0.128
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0363 0.90439 0.000 0.988 0.000 0.000 0.000 0.012
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0291 0.89423 0.992 0.000 0.000 0.004 0.000 0.004
#> 16463364-F250-4D42-B5C6-309333E40B83 5 0.4756 0.77562 0.000 0.048 0.000 0.000 0.488 0.464
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0363 0.90400 0.000 0.988 0.012 0.000 0.000 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0508 0.68601 0.000 0.000 0.984 0.000 0.012 0.004
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0806 0.89865 0.000 0.972 0.000 0.000 0.008 0.020
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.1765 0.87645 0.904 0.000 0.000 0.000 0.000 0.096
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0291 0.89262 0.992 0.000 0.000 0.004 0.000 0.004
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.1003 0.89439 0.016 0.964 0.000 0.000 0.000 0.020
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0146 0.90711 0.000 0.996 0.000 0.000 0.000 0.004
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.0632 0.68851 0.000 0.000 0.976 0.000 0.000 0.024
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.1141 0.89101 0.948 0.000 0.000 0.000 0.000 0.052
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 5 0.4336 0.79059 0.000 0.020 0.000 0.000 0.504 0.476
#> D6654189-0570-4603-8C92-3032F2CF7EF3 5 0.2631 0.63347 0.000 0.000 0.000 0.000 0.820 0.180
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.1082 0.90121 0.000 0.956 0.000 0.000 0.004 0.040
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0363 0.68975 0.000 0.000 0.988 0.000 0.000 0.012
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.0363 0.90358 0.012 0.988 0.000 0.000 0.000 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0363 0.69097 0.000 0.000 0.988 0.000 0.000 0.012
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.6051 0.48305 0.184 0.596 0.000 0.180 0.024 0.016
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.4534 0.38529 0.000 0.000 0.000 0.496 0.472 0.032
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.1082 0.90121 0.000 0.956 0.000 0.000 0.004 0.040
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.0458 0.68911 0.000 0.000 0.984 0.000 0.000 0.016
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.1141 0.68528 0.000 0.000 0.948 0.000 0.000 0.052
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.0858 0.74992 0.028 0.000 0.000 0.968 0.000 0.004
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.1327 0.89163 0.000 0.936 0.000 0.000 0.000 0.064
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0508 0.68601 0.000 0.000 0.984 0.000 0.012 0.004
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0363 0.90439 0.000 0.988 0.000 0.000 0.000 0.012
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.4534 0.38529 0.000 0.000 0.000 0.496 0.472 0.032
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.0858 0.74992 0.028 0.000 0.000 0.968 0.000 0.004
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.1075 0.74870 0.048 0.000 0.000 0.952 0.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.0146 0.90711 0.000 0.996 0.000 0.000 0.000 0.004
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 5 0.4406 0.78923 0.000 0.024 0.000 0.000 0.500 0.476
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.4086 0.41145 0.000 0.000 0.000 0.528 0.464 0.008
#> A8AE6F61-125B-4103-9F45-3F4C86234826 4 0.1141 0.74800 0.052 0.000 0.000 0.948 0.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0000 0.68988 0.000 0.000 1.000 0.000 0.000 0.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0458 0.89097 0.984 0.000 0.000 0.016 0.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.0520 0.68633 0.000 0.000 0.984 0.000 0.008 0.008
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.4179 0.40257 0.000 0.000 0.000 0.516 0.472 0.012
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0748 0.88711 0.976 0.000 0.004 0.004 0.000 0.016
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0291 0.89262 0.992 0.000 0.000 0.004 0.000 0.004
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.6106 -0.31993 0.000 0.376 0.000 0.000 0.324 0.300
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 3 0.3923 0.23372 0.000 0.000 0.580 0.000 0.004 0.416
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 5 0.4751 -0.40999 0.000 0.000 0.000 0.452 0.500 0.048
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 4 0.5486 0.25801 0.372 0.000 0.000 0.496 0.000 0.132
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 4 0.4780 0.13869 0.004 0.000 0.040 0.484 0.000 0.472
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 4 0.1007 0.74923 0.044 0.000 0.000 0.956 0.000 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 4 0.5425 0.41746 0.284 0.000 0.000 0.560 0.000 0.156
#> 7465251E-7BC8-4179-8950-4E41836CF36B 5 0.3860 0.79127 0.000 0.000 0.000 0.000 0.528 0.472
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 4 0.5789 0.31729 0.216 0.000 0.000 0.496 0.000 0.288
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.3123 0.82048 0.000 0.832 0.000 0.000 0.056 0.112
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 4 0.6897 0.45237 0.188 0.080 0.000 0.548 0.156 0.028
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.3979 0.14439 0.456 0.540 0.000 0.000 0.000 0.004
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.4774 0.17116 0.000 0.000 0.528 0.000 0.420 0.052
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 3 0.1327 0.68151 0.000 0.000 0.936 0.000 0.000 0.064
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0547 0.90146 0.000 0.980 0.000 0.000 0.000 0.020
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 4 0.5563 -0.02297 0.000 0.000 0.332 0.528 0.004 0.136
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.0291 0.68883 0.000 0.000 0.992 0.000 0.004 0.004
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 3 0.4107 0.12272 0.004 0.000 0.540 0.000 0.004 0.452
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.5283 0.45692 0.588 0.000 0.000 0.264 0.000 0.148
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.2135 0.86034 0.872 0.000 0.000 0.000 0.000 0.128
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.0146 0.69068 0.000 0.000 0.996 0.000 0.000 0.004
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 4 0.0260 0.74140 0.000 0.000 0.000 0.992 0.000 0.008
#> B54317C9-8704-42A6-BE96-E12855874596 6 0.5540 -0.71935 0.000 0.004 0.116 0.000 0.412 0.468
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.0748 0.88761 0.976 0.004 0.000 0.004 0.000 0.016
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0363 0.90439 0.000 0.988 0.000 0.000 0.000 0.012
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.4210 0.50282 0.672 0.000 0.000 0.288 0.000 0.040
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 3 0.3244 0.53559 0.000 0.000 0.732 0.000 0.000 0.268
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 4 0.1387 0.74439 0.068 0.000 0.000 0.932 0.000 0.000
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.4078 0.59882 0.000 0.656 0.000 0.000 0.320 0.024
#> A6177818-114B-437B-9928-A6747A788109 1 0.0405 0.89151 0.988 0.000 0.000 0.004 0.000 0.008
#> E7064800-48FD-492A-A074-84A0B2452445 3 0.0458 0.68911 0.000 0.000 0.984 0.000 0.000 0.016
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 5 0.4534 0.78611 0.000 0.032 0.000 0.000 0.492 0.476
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.1204 0.89018 0.944 0.000 0.000 0.000 0.000 0.056
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 5 0.4534 0.78611 0.000 0.032 0.000 0.000 0.492 0.476
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.0405 0.68792 0.000 0.000 0.988 0.000 0.008 0.004
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 4 0.1007 0.73376 0.000 0.000 0.000 0.956 0.000 0.044
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 4 0.1075 0.74870 0.048 0.000 0.000 0.952 0.000 0.000
#> EB235E9A-E453-4108-AD4F-31260F4340A6 3 0.4649 -0.04347 0.000 0.000 0.492 0.040 0.000 0.468
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 4 0.3307 0.69080 0.108 0.000 0.000 0.820 0.000 0.072
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 3 0.2823 0.59353 0.000 0.000 0.796 0.000 0.000 0.204
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.1075 0.89178 0.952 0.000 0.000 0.000 0.000 0.048
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 4 0.1970 0.72373 0.028 0.000 0.000 0.912 0.000 0.060
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 4 0.0790 0.75004 0.032 0.000 0.000 0.968 0.000 0.000
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 3 0.0405 0.68778 0.000 0.000 0.988 0.000 0.008 0.004
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#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0508 0.74638 0.012 0.000 0.000 0.984 0.000 0.004
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0603 0.88892 0.980 0.000 0.000 0.004 0.000 0.016
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.0858 0.74992 0.028 0.000 0.000 0.968 0.000 0.004
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.4124 0.79159 0.000 0.004 0.004 0.000 0.516 0.476
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.3409 0.49546 0.000 0.000 0.700 0.000 0.000 0.300
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.1007 0.90153 0.000 0.956 0.000 0.000 0.000 0.044
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.3652 0.51806 0.004 0.000 0.000 0.672 0.000 0.324
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0858 0.74992 0.028 0.000 0.000 0.968 0.000 0.004
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0291 0.90732 0.000 0.992 0.000 0.000 0.004 0.004
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17416 rows and 433 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.981 0.958 0.981 0.4634 0.538 0.538
#> 3 3 0.836 0.876 0.944 0.3631 0.827 0.680
#> 4 4 0.760 0.775 0.901 0.1387 0.885 0.701
#> 5 5 0.797 0.775 0.897 0.0706 0.885 0.638
#> 6 6 0.701 0.588 0.773 0.0421 0.935 0.744
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.2236 0.952 0.036 0.964
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.0000 0.984 1.000 0.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0000 0.976 0.000 1.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.984 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0000 0.984 1.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.0000 0.984 1.000 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.0000 0.984 1.000 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.0000 0.976 0.000 1.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.976 0.000 1.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.984 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.976 0.000 1.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.0000 0.984 1.000 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.976 0.000 1.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.0000 0.984 1.000 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.984 1.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.984 1.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0000 0.984 1.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.976 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.0000 0.984 1.000 0.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.984 1.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.6801 0.787 0.180 0.820
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.0000 0.984 1.000 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 1 0.0000 0.984 1.000 0.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.984 1.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.976 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.984 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.9286 0.469 0.656 0.344
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 1 0.0000 0.984 1.000 0.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0000 0.984 1.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.1184 0.966 0.016 0.984
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.0000 0.984 1.000 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.984 1.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.984 1.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 1 0.0000 0.984 1.000 0.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.984 1.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.9000 0.558 0.316 0.684
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.0000 0.984 1.000 0.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.984 1.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.984 1.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.984 1.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.976 0.000 1.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.976 0.000 1.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.984 1.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.984 1.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.984 1.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.984 1.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 1 0.0672 0.977 0.992 0.008
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.976 0.000 1.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.976 0.000 1.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.984 1.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.2043 0.955 0.032 0.968
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.984 1.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.976 0.000 1.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.976 0.000 1.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 1 0.0000 0.984 1.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 1 0.8081 0.667 0.752 0.248
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.984 1.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.984 1.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.0000 0.984 1.000 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.976 0.000 1.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 1 0.0000 0.984 1.000 0.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.984 1.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.976 0.000 1.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.0000 0.976 0.000 1.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.976 0.000 1.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 1 0.0000 0.984 1.000 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.4562 0.895 0.096 0.904
#> 164DD212-0839-4644-8FEE-E6A07A60803B 1 0.9460 0.437 0.636 0.364
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.9358 0.449 0.648 0.352
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 1 0.0000 0.984 1.000 0.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.976 0.000 1.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 1 0.0000 0.984 1.000 0.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.0000 0.984 1.000 0.000
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0000 0.984 1.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.976 0.000 1.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 2 0.0000 0.976 0.000 1.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.976 0.000 1.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.0000 0.984 1.000 0.000
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0000 0.984 1.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0000 0.984 1.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.2236 0.952 0.036 0.964
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.976 0.000 1.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 1 0.0000 0.984 1.000 0.000
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0000 0.984 1.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 1 0.0000 0.984 1.000 0.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0000 0.984 1.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 2 0.0000 0.976 0.000 1.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 1 0.0000 0.984 1.000 0.000
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0000 0.984 1.000 0.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.984 1.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0000 0.976 0.000 1.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 1 0.0000 0.984 1.000 0.000
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 1 0.0000 0.984 1.000 0.000
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.0000 0.984 1.000 0.000
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.0000 0.984 1.000 0.000
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.0000 0.984 1.000 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.0000 0.984 1.000 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.0000 0.976 0.000 1.000
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.0000 0.984 1.000 0.000
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0000 0.976 0.000 1.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 1 0.0000 0.984 1.000 0.000
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.9427 0.460 0.360 0.640
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 1 0.2236 0.951 0.964 0.036
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 1 0.0000 0.984 1.000 0.000
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 0.976 0.000 1.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 1 0.0000 0.984 1.000 0.000
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 1 0.0000 0.984 1.000 0.000
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 1 0.7219 0.746 0.800 0.200
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.0000 0.984 1.000 0.000
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0000 0.984 1.000 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 1 0.0000 0.984 1.000 0.000
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.0000 0.984 1.000 0.000
#> B54317C9-8704-42A6-BE96-E12855874596 2 0.0000 0.976 0.000 1.000
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.0376 0.980 0.996 0.004
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0000 0.976 0.000 1.000
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.0000 0.984 1.000 0.000
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 1 0.0000 0.984 1.000 0.000
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 1 0.0000 0.984 1.000 0.000
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 1 0.0000 0.984 1.000 0.000
#> A6177818-114B-437B-9928-A6747A788109 1 0.0000 0.984 1.000 0.000
#> E7064800-48FD-492A-A074-84A0B2452445 1 0.0000 0.984 1.000 0.000
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.0000 0.976 0.000 1.000
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0000 0.984 1.000 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.0000 0.976 0.000 1.000
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 1 0.2423 0.948 0.960 0.040
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 1 0.0000 0.984 1.000 0.000
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 1 0.0000 0.984 1.000 0.000
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#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0000 0.984 1.000 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0000 0.984 1.000 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.9393 0.455 0.356 0.644
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 1 0.0000 0.984 1.000 0.000
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.0000 0.976 0.000 1.000
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.976 0.000 1.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.976 0.000 1.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.0000 0.984 1.000 0.000
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.0000 0.976 0.000 1.000
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.0000 0.976 0.000 1.000
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0000 0.976 0.000 1.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 2 0.0000 0.976 0.000 1.000
#> B822A426-98C1-4976-9FC2-16347992AD78 1 0.0000 0.984 1.000 0.000
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.976 0.000 1.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0000 0.984 1.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.976 0.000 1.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 1 0.9129 0.522 0.672 0.328
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.0000 0.976 0.000 1.000
#> E9894334-C852-4159-9FEB-40292B160CC1 2 0.0000 0.976 0.000 1.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.2236 0.952 0.036 0.964
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.0000 0.984 1.000 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 1 0.0000 0.984 1.000 0.000
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.0000 0.984 1.000 0.000
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0000 0.976 0.000 1.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.2236 0.952 0.036 0.964
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 2 0.0000 0.976 0.000 1.000
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 1 0.0000 0.984 1.000 0.000
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.976 0.000 1.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.0000 0.984 1.000 0.000
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.0000 0.984 1.000 0.000
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.2236 0.952 0.036 0.964
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.984 1.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.0000 0.984 1.000 0.000
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.0000 0.984 1.000 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.984 1.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.0000 0.984 1.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.0000 0.984 1.000 0.000
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 1 0.9087 0.519 0.676 0.324
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.984 1.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.984 1.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.976 0.000 1.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.984 1.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.976 0.000 1.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.984 1.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0000 0.984 1.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0000 0.984 1.000 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 1 0.0000 0.984 1.000 0.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.2236 0.952 0.036 0.964
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.976 0.000 1.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0000 0.984 1.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.976 0.000 1.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.0000 0.984 1.000 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.976 0.000 1.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 1 0.6048 0.829 0.852 0.148
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.976 0.000 1.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 2 0.9970 0.135 0.468 0.532
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.0000 0.984 1.000 0.000
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.4431 0.899 0.092 0.908
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0938 0.969 0.012 0.988
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.0000 0.984 1.000 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.976 0.000 1.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.984 1.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.0672 0.971 0.008 0.992
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.984 1.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.984 1.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.984 1.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.976 0.000 1.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.2236 0.951 0.964 0.036
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.976 0.000 1.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.984 1.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.0000 0.984 1.000 0.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 0.976 0.000 1.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.7453 0.732 0.212 0.788
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0000 0.976 0.000 1.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 1 0.9635 0.375 0.612 0.388
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0000 0.984 1.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.984 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.984 1.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.984 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.976 0.000 1.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.984 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.976 0.000 1.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.984 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.976 0.000 1.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0000 0.976 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.984 1.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.984 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.4815 0.879 0.104 0.896
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.984 1.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.976 0.000 1.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.984 1.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.0000 0.976 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.984 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0000 0.984 1.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0000 0.984 1.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.984 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 1 0.8861 0.570 0.696 0.304
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 1 0.7219 0.756 0.800 0.200
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.984 1.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.976 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.984 1.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.976 0.000 1.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.976 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 1 0.0000 0.984 1.000 0.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.976 0.000 1.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 1 0.0000 0.984 1.000 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.984 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.984 1.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.984 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.976 0.000 1.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.0000 0.984 1.000 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.976 0.000 1.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.984 1.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.984 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.2236 0.952 0.036 0.964
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.5760 0.5273 0.328 0.672 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.0000 0.9226 0.000 0.000 1.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0000 0.9656 0.000 1.000 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.3941 0.8099 0.844 0.000 0.156
#> 0797DC35-6243-451D-9653-9649D390C0F4 3 0.0000 0.9226 0.000 0.000 1.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.0000 0.9226 0.000 0.000 1.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.0000 0.9226 0.000 0.000 1.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.1643 0.9329 0.000 0.956 0.044
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.9656 0.000 1.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.2796 0.8673 0.908 0.000 0.092
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9656 0.000 1.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 3 0.1529 0.9081 0.040 0.000 0.960
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.9656 0.000 1.000 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.0000 0.9226 0.000 0.000 1.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9151 1.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 3 0.4702 0.7035 0.212 0.000 0.788
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 3 0.1529 0.9081 0.040 0.000 0.960
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.9656 0.000 1.000 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.0000 0.9226 0.000 0.000 1.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.2066 0.8878 0.940 0.000 0.060
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.4346 0.7570 0.000 0.816 0.184
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.0000 0.9226 0.000 0.000 1.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0000 0.9226 0.000 0.000 1.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 3 0.0000 0.9226 0.000 0.000 1.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.9656 0.000 1.000 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9151 1.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 3 0.5621 0.5407 0.000 0.308 0.692
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 3 0.1643 0.8990 0.000 0.044 0.956
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.0000 0.9226 0.000 0.000 1.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0892 0.9517 0.000 0.980 0.020
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.0000 0.9226 0.000 0.000 1.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 3 0.1643 0.9059 0.044 0.000 0.956
#> 4AAD7B53-9AA9-404B-8888-13160458E476 3 0.1529 0.9081 0.040 0.000 0.960
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.0000 0.9226 0.000 0.000 1.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9151 1.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.5968 0.4618 0.000 0.636 0.364
#> 333F9855-9462-46B8-87C8-E9B01572C101 3 0.0000 0.9226 0.000 0.000 1.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 3 0.0237 0.9217 0.004 0.000 0.996
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 3 0.6291 0.1050 0.468 0.000 0.532
#> 4571A92E-A240-4A6D-BC50-8971BD299287 3 0.1529 0.9081 0.040 0.000 0.960
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.9656 0.000 1.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9656 0.000 1.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.1753 0.8944 0.952 0.000 0.048
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.6095 0.3558 0.608 0.000 0.392
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.9151 1.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 3 0.1529 0.9081 0.040 0.000 0.960
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0424 0.9194 0.000 0.008 0.992
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.9656 0.000 1.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.9656 0.000 1.000 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 3 0.4555 0.7417 0.200 0.000 0.800
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.2550 0.9234 0.040 0.936 0.024
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.9151 1.000 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.9656 0.000 1.000 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.1643 0.9329 0.000 0.956 0.044
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.9226 0.000 0.000 1.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 3 0.5254 0.6310 0.000 0.264 0.736
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.6180 0.3278 0.584 0.000 0.416
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.2878 0.8567 0.904 0.000 0.096
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.4974 0.6912 0.764 0.000 0.236
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0592 0.9580 0.012 0.988 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.0000 0.9226 0.000 0.000 1.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.9151 1.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.9656 0.000 1.000 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.0000 0.9656 0.000 1.000 0.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.9656 0.000 1.000 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0000 0.9226 0.000 0.000 1.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.7147 0.6293 0.228 0.696 0.076
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#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.9656 0.000 1.000 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 3 0.0000 0.9226 0.000 0.000 1.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.9656 0.000 1.000 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.9226 0.000 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 3 0.1643 0.9059 0.044 0.000 0.956
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.5431 0.6402 0.716 0.000 0.284
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 3 0.1643 0.9059 0.044 0.000 0.956
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.9656 0.000 1.000 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.0000 0.9226 0.000 0.000 1.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.9656 0.000 1.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 3 0.0000 0.9226 0.000 0.000 1.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 3 0.1163 0.9135 0.028 0.000 0.972
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.2200 0.9181 0.004 0.940 0.056
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.4304 0.5413 0.284 0.716 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.4382 0.6245 0.000 0.704 0.296 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.2868 0.7948 0.864 0.000 0.000 0.136
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.1118 0.8347 0.000 0.964 0.036 0.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.1792 0.8572 0.932 0.000 0.000 0.068
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.4998 0.2222 0.000 0.512 0.488 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.3610 0.7208 0.200 0.000 0.000 0.800
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.4008 0.6708 0.000 0.244 0.000 0.756
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.1118 0.8795 0.964 0.000 0.000 0.036
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.5742 0.3758 0.000 0.596 0.036 0.368
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 4 0.3975 0.6755 0.000 0.240 0.000 0.760
#> C1323790-6C24-4E54-A266-AE66588C1DD5 4 0.0469 0.9089 0.000 0.000 0.012 0.988
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.4008 0.6893 0.000 0.756 0.244 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.6260 0.5578 0.192 0.144 0.000 0.664
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 4 0.3649 0.7156 0.000 0.204 0.000 0.796
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0469 0.8454 0.000 0.988 0.000 0.012
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.7526 0.0934 0.000 0.440 0.372 0.188
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.4961 0.1609 0.448 0.000 0.000 0.552
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.8505 0.000 1.000 0.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.8505 0.000 1.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0817 0.8864 0.976 0.000 0.000 0.024
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.4933 0.2464 0.568 0.000 0.000 0.432
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.7438 0.4323 0.000 0.244 0.512 0.244
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.4008 0.6893 0.000 0.756 0.244 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 4 0.3266 0.7638 0.168 0.000 0.000 0.832
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.1042 0.8393 0.020 0.972 0.000 0.008
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.3942 0.6979 0.000 0.764 0.236 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.1118 0.8347 0.000 0.964 0.036 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.1118 0.8155 0.000 0.000 0.964 0.036
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 4 0.4994 0.1831 0.000 0.480 0.000 0.520
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.4898 0.3114 0.584 0.000 0.000 0.416
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.2281 0.8261 0.904 0.000 0.000 0.096
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.5448 0.6139 0.700 0.244 0.000 0.056
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.8505 0.000 1.000 0.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.3311 0.7593 0.000 0.828 0.172 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 3 0.3975 0.5571 0.000 0.240 0.760 0.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.1118 0.8155 0.000 0.000 0.964 0.036
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.3649 0.6535 0.204 0.796 0.000 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.1118 0.8106 0.000 0.036 0.964 0.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 4 0.7091 0.3155 0.136 0.356 0.000 0.508
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.8505 0.000 1.000 0.000 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.4872 0.5976 0.000 0.244 0.728 0.028
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.8505 0.000 1.000 0.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.1118 0.8106 0.000 0.036 0.964 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.1118 0.8347 0.000 0.964 0.036 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.1209 0.8337 0.032 0.964 0.000 0.004
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> A8AE6F61-125B-4103-9F45-3F4C86234826 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.4998 0.0530 0.000 0.000 0.512 0.488
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.3649 0.7091 0.796 0.000 0.000 0.204
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.1022 0.8117 0.000 0.032 0.968 0.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 4 0.4981 0.1086 0.464 0.000 0.000 0.536
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.4008 0.6893 0.000 0.756 0.244 0.000
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 4 0.4898 0.2797 0.416 0.000 0.000 0.584
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 1 0.3764 0.6834 0.784 0.216 0.000 0.000
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.0469 0.8163 0.000 0.000 0.988 0.012
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 4 0.6394 0.5140 0.000 0.244 0.120 0.636
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 0.8505 0.000 1.000 0.000 0.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.1118 0.8155 0.000 0.000 0.964 0.036
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.4830 0.3780 0.608 0.000 0.000 0.392
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.1118 0.8155 0.000 0.000 0.964 0.036
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> B54317C9-8704-42A6-BE96-E12855874596 3 0.4585 0.3560 0.000 0.332 0.668 0.000
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.4008 0.6541 0.756 0.244 0.000 0.000
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0000 0.8505 0.000 1.000 0.000 0.000
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 4 0.4008 0.6708 0.000 0.244 0.000 0.756
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 4 0.3024 0.7835 0.148 0.000 0.000 0.852
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 4 0.4776 0.6509 0.024 0.244 0.000 0.732
#> A6177818-114B-437B-9928-A6747A788109 1 0.3688 0.6914 0.792 0.208 0.000 0.000
#> E7064800-48FD-492A-A074-84A0B2452445 3 0.7632 0.3816 0.000 0.244 0.468 0.288
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.4998 0.2222 0.000 0.512 0.488 0.000
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.1557 0.8429 0.000 0.944 0.056 0.000
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.1118 0.8155 0.000 0.000 0.964 0.036
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> EB235E9A-E453-4108-AD4F-31260F4340A6 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 2 0.1302 0.8234 0.000 0.956 0.000 0.044
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 4 0.4277 0.5912 0.280 0.000 0.000 0.720
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 3 0.1118 0.8155 0.000 0.000 0.964 0.036
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 3 0.6139 0.5535 0.000 0.244 0.656 0.100
#> 94128D59-A5BB-4460-A671-5E1571726C4D 2 0.4331 0.5293 0.000 0.712 0.000 0.288
#> 12BE2E3A-1B57-4EEE-B130-E70B6BE5A96B 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> 66600553-0E68-405C-81A3-4064DA18737D 3 0.1474 0.7873 0.000 0.052 0.948 0.000
#> C65B6272-DD2B-4075-963B-746F8904B395 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> EC7F0653-0AC0-47AF-A6A2-0475E149065F 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 3EEB805B-3DC3-47AD-9D83-672D39333B8F 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> ECC99215-F4FB-40D3-A44D-549D681F0CAD 3 0.0000 0.8133 0.000 0.000 1.000 0.000
#> ED242FAE-14D1-4804-9C96-281197D485A4 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 3BB9FC05-3230-4C65-9259-ED8FE65AD473 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> 57C51F55-9F3A-44F0-99DB-EE3557C04373 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 90F8EB31-A33C-4434-90FC-B6721774D68C 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 6516F0BC-00E2-40E6-9B9D-420F0DA30FA5 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> 0CCE788F-74E5-4562-82EA-EB39912298E4 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> 1B2E1531-7C1F-4BAF-BC45-42425B7B8891 2 0.4996 0.2336 0.000 0.516 0.484 0.000
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#> 420503AA-3799-4816-BEEC-0B4D05988D38 2 0.4008 0.6893 0.000 0.756 0.244 0.000
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.3311 0.7541 0.828 0.000 0.000 0.172
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.0000 0.8505 0.000 1.000 0.000 0.000
#> E1F863F8-90F0-402C-8433-95F522DDCE63 4 0.3024 0.7871 0.148 0.000 0.000 0.852
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.1022 0.8818 0.968 0.000 0.000 0.032
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 4 0.5980 0.2048 0.000 0.396 0.044 0.560
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.4998 0.2222 0.000 0.512 0.488 0.000
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.8505 0.000 1.000 0.000 0.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.4008 0.6893 0.000 0.756 0.244 0.000
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 3 0.4994 -0.1369 0.000 0.480 0.520 0.000
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0000 0.8505 0.000 1.000 0.000 0.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 3 0.0000 0.8133 0.000 0.000 1.000 0.000
#> B822A426-98C1-4976-9FC2-16347992AD78 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.8505 0.000 1.000 0.000 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.3486 0.7363 0.812 0.000 0.000 0.188
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.8505 0.000 1.000 0.000 0.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.1118 0.8106 0.000 0.036 0.964 0.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.0000 0.8133 0.000 0.000 1.000 0.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.2011 0.7971 0.080 0.920 0.000 0.000
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 4 0.3908 0.7037 0.004 0.212 0.000 0.784
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 4 0.7681 -0.0337 0.380 0.216 0.000 0.404
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.1209 0.8292 0.004 0.964 0.000 0.032
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 2 0.4998 0.2222 0.000 0.512 0.488 0.000
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 4 0.3400 0.7356 0.000 0.000 0.180 0.820
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 4 0.3610 0.7206 0.000 0.200 0.000 0.800
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.1302 0.8234 0.000 0.956 0.000 0.044
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 197E34CA-EF43-495C-8AA4-858982333429 4 0.4817 0.3691 0.388 0.000 0.000 0.612
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 4 0.0188 0.9148 0.004 0.000 0.000 0.996
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 4 0.4866 0.3144 0.404 0.000 0.000 0.596
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 4 0.0336 0.9117 0.000 0.008 0.000 0.992
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 3 0.4008 0.6076 0.000 0.244 0.756 0.000
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.8505 0.000 1.000 0.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.4855 0.3252 0.400 0.000 0.000 0.600
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.1022 0.8513 0.000 0.968 0.032 0.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 4 0.0188 0.9147 0.004 0.000 0.000 0.996
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 4 0.0188 0.9146 0.004 0.000 0.000 0.996
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.3649 0.7156 0.000 0.204 0.000 0.796
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.0188 0.8493 0.004 0.996 0.000 0.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.1209 0.8123 0.000 0.032 0.964 0.004
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.3975 0.5996 0.000 0.760 0.240 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 4 0.4535 0.5530 0.000 0.292 0.004 0.704
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 4 0.4008 0.6708 0.000 0.244 0.000 0.756
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.4304 0.5341 0.000 0.716 0.000 0.284
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.1118 0.8347 0.000 0.964 0.036 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.3764 0.6937 0.784 0.000 0.000 0.216
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.8133 0.000 0.000 1.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.4008 0.6673 0.756 0.000 0.000 0.244
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.3649 0.7151 0.204 0.000 0.000 0.796
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.4008 0.6893 0.000 0.756 0.244 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.4250 0.6302 0.000 0.276 0.000 0.724
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.1118 0.8347 0.000 0.964 0.036 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.3528 0.7109 0.808 0.192 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 3 0.1211 0.7951 0.000 0.040 0.960 0.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.1211 0.7949 0.000 0.040 0.960 0.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.2589 0.7306 0.000 0.116 0.884 0.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.8133 0.000 0.000 1.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 3 0.4730 0.2691 0.000 0.364 0.636 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.4998 0.2222 0.000 0.512 0.488 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.4877 0.2986 0.408 0.000 0.000 0.592
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.4697 0.3519 0.000 0.644 0.356 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.4985 -0.0949 0.000 0.468 0.532 0.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0336 0.8943 0.992 0.000 0.000 0.008
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.1118 0.8106 0.000 0.036 0.964 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.8505 0.000 1.000 0.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.8133 0.000 0.000 1.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.1661 0.8697 0.944 0.004 0.000 0.052
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.1118 0.8155 0.000 0.000 0.964 0.036
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.8133 0.000 0.000 1.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.8979 1.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.4008 0.6893 0.000 0.756 0.244 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.8505 0.000 1.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.4008 0.6893 0.000 0.756 0.244 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 4 0.3610 0.7075 0.000 0.000 0.200 0.800
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.5266 0.6982 0.752 0.140 0.000 0.108
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.3172 0.7740 0.000 0.160 0.000 0.840
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.1118 0.8511 0.000 0.964 0.036 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0000 0.9172 0.000 0.000 0.000 1.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.8505 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0510 0.83126 0.000 0.984 0.000 0.000 0.016
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.1300 0.88821 0.000 0.016 0.028 0.956 0.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.0162 0.82032 0.000 0.000 0.004 0.000 0.996
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.2280 0.80819 0.880 0.000 0.000 0.120 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.0510 0.90294 0.000 0.016 0.000 0.984 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.0404 0.90408 0.000 0.000 0.012 0.988 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.6581 0.25087 0.000 0.432 0.212 0.000 0.356
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.0000 0.82125 0.000 0.000 0.000 0.000 1.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.1043 0.88138 0.960 0.000 0.000 0.040 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 5 0.3932 0.47392 0.000 0.328 0.000 0.000 0.672
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.0609 0.89995 0.000 0.020 0.000 0.980 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.3932 0.58776 0.000 0.000 0.328 0.000 0.672
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.0510 0.90294 0.000 0.016 0.000 0.984 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.91142 1.000 0.000 0.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.3109 0.71417 0.200 0.000 0.000 0.800 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.0000 0.82125 0.000 0.000 0.000 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 2 0.3242 0.66912 0.000 0.784 0.000 0.216 0.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.91142 1.000 0.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 5 0.1121 0.78892 0.000 0.000 0.000 0.044 0.956
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 2 0.3715 0.61885 0.000 0.736 0.004 0.260 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 4 0.1043 0.88817 0.000 0.000 0.040 0.960 0.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.0000 0.82125 0.000 0.000 0.000 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.91142 1.000 0.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.4713 0.57289 0.000 0.044 0.000 0.676 0.280
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.0290 0.90599 0.000 0.000 0.000 0.992 0.008
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 4 0.4150 0.33030 0.000 0.388 0.000 0.612 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.5185 0.40322 0.000 0.596 0.008 0.036 0.360
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.0794 0.89528 0.000 0.000 0.028 0.972 0.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.91142 1.000 0.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 4 0.6683 0.27483 0.000 0.016 0.164 0.496 0.324
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.4300 0.09318 0.476 0.000 0.000 0.524 0.000
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#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.7239 0.24636 0.000 0.400 0.024 0.240 0.336
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> 197E34CA-EF43-495C-8AA4-858982333429 4 0.4511 0.41222 0.356 0.016 0.000 0.628 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 4 0.0162 0.90786 0.004 0.000 0.000 0.996 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 4 0.4192 0.31971 0.404 0.000 0.000 0.596 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 4 0.1493 0.88474 0.000 0.024 0.028 0.948 0.000
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.1732 0.79423 0.000 0.920 0.080 0.000 0.000
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.91142 1.000 0.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0703 0.83077 0.000 0.976 0.000 0.000 0.024
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.4182 0.33041 0.400 0.000 0.000 0.600 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 5 0.3983 0.43543 0.000 0.340 0.000 0.000 0.660
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 4 0.0510 0.90294 0.000 0.016 0.000 0.984 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 4 0.0510 0.90294 0.000 0.016 0.000 0.984 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.4249 0.18906 0.000 0.568 0.000 0.432 0.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.0510 0.83126 0.000 0.984 0.000 0.000 0.016
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 5 0.3336 0.64731 0.000 0.228 0.000 0.000 0.772
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.0000 0.82125 0.000 0.000 0.000 0.000 1.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 5 0.4101 0.33733 0.000 0.372 0.000 0.000 0.628
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.91595 0.000 0.000 1.000 0.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.3911 0.73417 0.000 0.796 0.144 0.000 0.060
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 4 0.5140 0.57131 0.000 0.016 0.044 0.668 0.272
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 2 0.3628 0.66366 0.000 0.772 0.012 0.216 0.000
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 4 0.6647 0.08086 0.000 0.232 0.000 0.424 0.344
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 5 0.0000 0.82125 0.000 0.000 0.000 0.000 1.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 4 0.0510 0.90294 0.000 0.016 0.000 0.984 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.1845 0.81388 0.000 0.928 0.056 0.000 0.016
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.3242 0.68222 0.784 0.000 0.000 0.216 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.91595 0.000 0.000 1.000 0.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.3452 0.65800 0.756 0.000 0.000 0.244 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.91142 1.000 0.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.3074 0.72309 0.196 0.000 0.000 0.804 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.0000 0.82125 0.000 0.000 0.000 0.000 1.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 2 0.3336 0.65750 0.000 0.772 0.000 0.228 0.000
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0510 0.83126 0.000 0.984 0.000 0.000 0.016
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.3039 0.69543 0.808 0.192 0.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 4 0.4227 0.56214 0.000 0.016 0.292 0.692 0.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.3999 0.57203 0.000 0.000 0.344 0.000 0.656
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 5 0.4171 0.48670 0.000 0.000 0.396 0.000 0.604
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.4015 0.56659 0.000 0.000 0.348 0.000 0.652
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.91595 0.000 0.000 1.000 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.0880 0.89289 0.000 0.032 0.000 0.968 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.3999 0.57203 0.000 0.000 0.344 0.000 0.656
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.91142 1.000 0.000 0.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.3932 0.58776 0.000 0.000 0.328 0.000 0.672
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.4227 0.27846 0.420 0.000 0.000 0.580 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.1809 0.81663 0.000 0.928 0.012 0.000 0.060
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.3999 0.57203 0.000 0.000 0.344 0.000 0.656
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.91142 1.000 0.000 0.000 0.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.91142 1.000 0.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0510 0.91639 0.000 0.016 0.984 0.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.91142 1.000 0.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.4182 0.35536 0.000 0.600 0.000 0.000 0.400
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.91142 1.000 0.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.91595 0.000 0.000 1.000 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.91142 1.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0794 0.89173 0.972 0.028 0.000 0.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0771 0.89651 0.976 0.004 0.000 0.020 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.91142 1.000 0.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0510 0.91639 0.000 0.016 0.984 0.000 0.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.91595 0.000 0.000 1.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.91142 1.000 0.000 0.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.0000 0.82125 0.000 0.000 0.000 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.0510 0.90294 0.000 0.016 0.000 0.984 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.1043 0.82483 0.000 0.960 0.000 0.000 0.040
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.0404 0.81763 0.000 0.012 0.000 0.000 0.988
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.0000 0.82125 0.000 0.000 0.000 0.000 1.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 4 0.4744 0.08669 0.000 0.016 0.476 0.508 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.4797 0.64866 0.724 0.172 0.000 0.104 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.0703 0.81071 0.000 0.000 0.024 0.000 0.976
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.4350 0.58362 0.000 0.268 0.028 0.704 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 5 0.2424 0.74163 0.000 0.132 0.000 0.000 0.868
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0000 0.90930 0.000 0.000 0.000 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0963 0.82780 0.000 0.964 0.000 0.000 0.036
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.1007 0.69358 0.000 0.956 0.044 0.000 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 6 0.3817 0.17758 0.000 0.000 0.000 0.432 0.000 0.568
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.1204 0.73973 0.000 0.000 0.056 0.000 0.944 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.2048 0.78526 0.880 0.000 0.000 0.120 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.0000 0.81071 0.000 0.000 0.000 1.000 0.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.3774 0.20788 0.000 0.000 0.000 0.592 0.000 0.408
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.2416 0.70598 0.000 0.000 0.000 0.844 0.000 0.156
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 6 0.5685 0.37363 0.000 0.144 0.032 0.000 0.212 0.612
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.0000 0.75398 0.000 0.000 0.000 0.000 1.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0937 0.86737 0.960 0.000 0.000 0.040 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.4626 0.61330 0.000 0.692 0.172 0.000 0.136 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.1285 0.77837 0.000 0.052 0.004 0.944 0.000 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 5 0.3354 0.63294 0.000 0.000 0.168 0.000 0.796 0.036
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.4205 0.14404 0.000 0.000 0.016 0.564 0.000 0.420
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0790 0.88696 0.968 0.000 0.000 0.000 0.000 0.032
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.3657 0.65854 0.108 0.000 0.000 0.792 0.000 0.100
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0000 0.81071 0.000 0.000 0.000 1.000 0.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.0000 0.75398 0.000 0.000 0.000 0.000 1.000 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 6 0.6232 0.37579 0.000 0.360 0.016 0.196 0.000 0.428
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.89481 1.000 0.000 0.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 5 0.2053 0.67819 0.000 0.000 0.000 0.108 0.888 0.004
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 6 0.6049 0.48410 0.000 0.240 0.016 0.224 0.000 0.520
#> C1323790-6C24-4E54-A266-AE66588C1DD5 4 0.2969 0.63093 0.000 0.000 0.000 0.776 0.000 0.224
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.0000 0.81071 0.000 0.000 0.000 1.000 0.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.2219 0.70541 0.000 0.000 0.136 0.000 0.864 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.89481 1.000 0.000 0.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 6 0.6741 0.37906 0.000 0.176 0.000 0.300 0.068 0.456
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.2362 0.70415 0.000 0.000 0.136 0.860 0.004 0.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 6 0.6037 0.27413 0.000 0.152 0.016 0.400 0.000 0.432
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.5269 0.36331 0.000 0.484 0.020 0.020 0.456 0.020
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.0937 0.79055 0.000 0.000 0.000 0.960 0.000 0.040
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.0000 0.81071 0.000 0.000 0.000 1.000 0.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0000 0.81071 0.000 0.000 0.000 1.000 0.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.1863 0.73720 0.000 0.000 0.000 0.896 0.000 0.104
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.89481 1.000 0.000 0.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 6 0.4670 0.48551 0.000 0.000 0.008 0.176 0.112 0.704
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.1327 0.77019 0.000 0.064 0.000 0.936 0.000 0.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.1814 0.75072 0.000 0.000 0.000 0.900 0.000 0.100
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.3862 0.04932 0.476 0.000 0.000 0.524 0.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0000 0.81071 0.000 0.000 0.000 1.000 0.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 5 0.4650 -0.33886 0.000 0.472 0.040 0.000 0.488 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.5440 0.53605 0.000 0.520 0.132 0.000 0.348 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.89481 1.000 0.000 0.000 0.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.5893 0.34078 0.540 0.000 0.016 0.272 0.000 0.172
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.89481 1.000 0.000 0.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.0000 0.81071 0.000 0.000 0.000 1.000 0.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 6 0.4253 -0.01806 0.000 0.460 0.016 0.000 0.000 0.524
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 5 0.4650 0.50705 0.000 0.132 0.180 0.000 0.688 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.0000 0.75398 0.000 0.000 0.000 0.000 1.000 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 4 0.2527 0.68283 0.168 0.000 0.000 0.832 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.69227 0.000 1.000 0.000 0.000 0.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.89481 1.000 0.000 0.000 0.000 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 5 0.0000 0.75398 0.000 0.000 0.000 0.000 1.000 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.2594 0.67435 0.000 0.884 0.016 0.000 0.072 0.028
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.3833 0.79856 0.000 0.000 0.556 0.000 0.000 0.444
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.2501 0.61584 0.000 0.872 0.016 0.108 0.004 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.3789 0.22787 0.584 0.000 0.000 0.416 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.2277 0.82639 0.892 0.000 0.000 0.076 0.000 0.032
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.0937 0.69329 0.000 0.960 0.040 0.000 0.000 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.4587 0.67537 0.000 0.688 0.108 0.000 0.204 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 4 0.4338 -0.07005 0.000 0.000 0.020 0.496 0.000 0.484
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.89481 1.000 0.000 0.000 0.000 0.000 0.000
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#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 6 0.4621 0.39355 0.000 0.056 0.000 0.332 0.000 0.612
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.4705 0.41486 0.000 0.656 0.016 0.036 0.004 0.288
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.89481 1.000 0.000 0.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 4 0.0000 0.81071 0.000 0.000 0.000 1.000 0.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.5497 0.59340 0.000 0.556 0.176 0.000 0.268 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.4453 0.20505 0.400 0.000 0.000 0.568 0.000 0.032
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 5 0.5580 -0.07290 0.000 0.324 0.160 0.000 0.516 0.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 4 0.4224 0.13089 0.000 0.000 0.016 0.552 0.000 0.432
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 4 0.0146 0.80913 0.000 0.000 0.004 0.996 0.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 4 0.4250 0.05993 0.000 0.000 0.016 0.528 0.000 0.456
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.3523 0.52338 0.000 0.780 0.040 0.180 0.000 0.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.0260 0.69366 0.000 0.992 0.000 0.000 0.008 0.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 5 0.4671 0.51260 0.000 0.160 0.152 0.000 0.688 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 4 0.2631 0.68993 0.000 0.000 0.000 0.820 0.000 0.180
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.0000 0.75398 0.000 0.000 0.000 0.000 1.000 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.0000 0.81071 0.000 0.000 0.000 1.000 0.000 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 5 0.5818 -0.28652 0.000 0.340 0.196 0.000 0.464 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.3647 0.82473 0.000 0.000 0.640 0.000 0.000 0.360
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.2433 0.66903 0.000 0.884 0.072 0.000 0.044 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 6 0.5195 0.47698 0.000 0.000 0.000 0.228 0.160 0.612
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 6 0.6240 0.41072 0.000 0.328 0.016 0.208 0.000 0.448
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.8009 0.26640 0.000 0.444 0.156 0.196 0.108 0.096
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 5 0.0790 0.74218 0.000 0.000 0.032 0.000 0.968 0.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 4 0.4218 0.12351 0.000 0.000 0.016 0.556 0.000 0.428
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.4672 0.54812 0.000 0.596 0.056 0.000 0.348 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.2912 0.67233 0.784 0.000 0.000 0.216 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.3833 0.79856 0.000 0.000 0.556 0.000 0.000 0.444
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.3101 0.59971 0.756 0.000 0.000 0.244 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0632 0.88927 0.976 0.000 0.000 0.000 0.000 0.024
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.2762 0.62918 0.196 0.000 0.000 0.804 0.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.0000 0.75398 0.000 0.000 0.000 0.000 1.000 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 6 0.6712 0.39214 0.000 0.328 0.016 0.212 0.020 0.424
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.2680 0.69012 0.000 0.868 0.056 0.000 0.076 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.3248 0.71513 0.804 0.164 0.000 0.000 0.000 0.032
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 6 0.3659 0.33696 0.000 0.000 0.000 0.364 0.000 0.636
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.4561 0.32003 0.000 0.000 0.428 0.000 0.536 0.036
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.5172 -0.05120 0.000 0.012 0.524 0.000 0.404 0.060
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 5 0.4591 0.24939 0.000 0.000 0.464 0.000 0.500 0.036
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.3221 0.83348 0.000 0.000 0.736 0.000 0.000 0.264
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.2838 0.66008 0.000 0.188 0.004 0.808 0.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.0000 0.81071 0.000 0.000 0.000 1.000 0.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.0000 0.81071 0.000 0.000 0.000 1.000 0.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.0000 0.81071 0.000 0.000 0.000 1.000 0.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.4555 0.32586 0.000 0.000 0.424 0.000 0.540 0.036
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0790 0.88696 0.968 0.000 0.000 0.000 0.000 0.032
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.3354 0.63294 0.000 0.000 0.168 0.000 0.796 0.036
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.4488 0.15994 0.420 0.000 0.000 0.548 0.000 0.032
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.5583 0.56829 0.000 0.600 0.136 0.000 0.244 0.020
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.4550 0.33046 0.000 0.000 0.420 0.000 0.544 0.036
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0790 0.88696 0.968 0.000 0.000 0.000 0.000 0.032
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.89481 1.000 0.000 0.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 6 0.5644 -0.25521 0.000 0.288 0.188 0.000 0.000 0.524
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.89481 1.000 0.000 0.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.4646 0.37384 0.000 0.500 0.040 0.000 0.460 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.89481 1.000 0.000 0.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.3774 0.82756 0.000 0.000 0.592 0.000 0.000 0.408
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.89481 1.000 0.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.4306 0.48632 0.624 0.344 0.000 0.000 0.000 0.032
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.3915 0.58243 0.704 0.004 0.000 0.020 0.000 0.272
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.89481 1.000 0.000 0.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 6 0.3980 0.12719 0.000 0.004 0.168 0.068 0.000 0.760
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.3266 0.83498 0.000 0.000 0.728 0.000 0.000 0.272
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0790 0.88696 0.968 0.000 0.000 0.000 0.000 0.032
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.0000 0.75398 0.000 0.000 0.000 0.000 1.000 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.4150 0.21881 0.000 0.000 0.016 0.592 0.000 0.392
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.4446 0.55162 0.000 0.612 0.040 0.000 0.348 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.2362 0.70598 0.000 0.004 0.136 0.000 0.860 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.3655 0.65365 0.000 0.000 0.136 0.788 0.000 0.076
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.2219 0.70615 0.000 0.000 0.136 0.000 0.864 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 6 0.2996 0.48010 0.000 0.000 0.000 0.228 0.000 0.772
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0000 0.81071 0.000 0.000 0.000 1.000 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 6 0.6471 0.15731 0.384 0.100 0.016 0.044 0.000 0.456
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.0000 0.81071 0.000 0.000 0.000 1.000 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.1141 0.73556 0.000 0.000 0.000 0.000 0.948 0.052
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 6 0.5602 0.49934 0.000 0.188 0.000 0.276 0.000 0.536
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 5 0.2462 0.68636 0.000 0.028 0.096 0.000 0.876 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.0000 0.81071 0.000 0.000 0.000 1.000 0.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0000 0.81071 0.000 0.000 0.000 1.000 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.4432 0.65330 0.000 0.708 0.056 0.000 0.224 0.012
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "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 17416 rows and 433 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.451 0.714 0.868 0.4637 0.506 0.506
#> 3 3 0.547 0.667 0.825 0.3635 0.842 0.692
#> 4 4 0.501 0.630 0.756 0.1248 0.869 0.660
#> 5 5 0.559 0.536 0.738 0.0460 0.925 0.761
#> 6 6 0.630 0.617 0.728 0.0518 0.926 0.744
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.8886 0.000 1.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.9977 0.3134 0.528 0.472
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.3114 0.8817 0.056 0.944
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.1184 0.7839 0.984 0.016
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.6531 0.7149 0.832 0.168
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.8955 0.5818 0.688 0.312
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.9248 0.5461 0.660 0.340
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 1 0.9970 0.3197 0.532 0.468
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.8886 0.000 1.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.7906 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.8886 0.000 1.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.6048 0.8170 0.148 0.852
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.8886 0.000 1.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.8813 0.5984 0.700 0.300
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0376 0.7912 0.996 0.004
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.7906 1.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.5842 0.7249 0.860 0.140
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.8886 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.9896 0.3894 0.560 0.440
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.7906 1.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.4298 0.8658 0.088 0.912
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.9635 0.4838 0.612 0.388
#> C1323790-6C24-4E54-A266-AE66588C1DD5 1 0.9896 0.3855 0.560 0.440
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.2043 0.7850 0.968 0.032
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.8886 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.7906 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.8608 0.6065 0.284 0.716
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.5946 0.8211 0.144 0.856
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.9248 0.5461 0.660 0.340
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.4815 0.8503 0.104 0.896
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.8955 0.5817 0.688 0.312
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0376 0.7912 0.996 0.004
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0376 0.7912 0.996 0.004
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 1 0.9944 0.3546 0.544 0.456
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.7906 1.000 0.000
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#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.7528 0.6638 0.784 0.216
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.8713 0.6041 0.292 0.708
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.7906 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 1 0.9983 0.3034 0.524 0.476
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.5519 0.8350 0.128 0.872
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0376 0.7912 0.996 0.004
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.8886 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.2043 0.7854 0.968 0.032
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.8886 0.000 1.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.8886 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.6048 0.8170 0.148 0.852
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.3274 0.8806 0.060 0.940
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 1 0.9896 0.3855 0.560 0.440
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0376 0.7912 0.996 0.004
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0376 0.7912 0.996 0.004
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0376 0.7912 0.996 0.004
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.5059 0.8474 0.112 0.888
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.9896 0.3855 0.560 0.440
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.8886 0.000 1.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.2603 0.7803 0.956 0.044
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0376 0.7912 0.996 0.004
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.3431 0.8683 0.064 0.936
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.5988 0.71589 0.008 0.688 0.304
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.9268 0.82151 0.172 0.336 0.492
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.4346 0.69259 0.000 0.816 0.184
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0592 0.84710 0.988 0.000 0.012
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.7328 0.26628 0.596 0.040 0.364
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.7841 -0.10860 0.480 0.052 0.468
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.8941 0.84934 0.156 0.300 0.544
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.7924 0.88155 0.084 0.304 0.612
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.5621 0.71614 0.000 0.692 0.308
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0592 0.84710 0.988 0.000 0.012
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.5621 0.71614 0.000 0.692 0.308
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.4921 0.52374 0.084 0.844 0.072
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.5431 0.71779 0.000 0.716 0.284
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.9546 0.78564 0.216 0.312 0.472
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.5938 0.57062 0.732 0.248 0.020
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0592 0.84710 0.988 0.000 0.012
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.6372 0.63613 0.756 0.176 0.068
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.5560 0.71730 0.000 0.700 0.300
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.9017 0.84059 0.148 0.336 0.516
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0747 0.84597 0.984 0.000 0.016
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.3590 0.57442 0.028 0.896 0.076
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.9070 0.84788 0.164 0.308 0.528
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.7112 0.88345 0.044 0.308 0.648
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.1163 0.83914 0.972 0.028 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.5431 0.71779 0.000 0.716 0.284
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0592 0.84710 0.988 0.000 0.012
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.7187 0.20151 0.232 0.692 0.076
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.4838 0.52148 0.076 0.848 0.076
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.8503 0.87454 0.120 0.304 0.576
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.2486 0.59738 0.008 0.932 0.060
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.9796 0.71960 0.264 0.304 0.432
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0475 0.84567 0.992 0.004 0.004
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.1267 0.83925 0.972 0.004 0.024
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.6906 0.87363 0.032 0.324 0.644
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0592 0.84710 0.988 0.000 0.012
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.8720 0.85856 0.136 0.304 0.560
#> 333F9855-9462-46B8-87C8-E9B01572C101 3 0.9412 0.80595 0.188 0.336 0.476
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0424 0.84705 0.992 0.000 0.008
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0424 0.84705 0.992 0.000 0.008
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0475 0.84567 0.992 0.004 0.004
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.5397 0.71808 0.000 0.720 0.280
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.5591 0.71651 0.000 0.696 0.304
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0592 0.84710 0.988 0.000 0.012
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.6597 0.51322 0.696 0.268 0.036
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0592 0.84710 0.988 0.000 0.012
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0475 0.84567 0.992 0.004 0.004
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.6955 0.86844 0.032 0.332 0.636
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.5621 0.71614 0.000 0.692 0.308
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.3412 0.69240 0.000 0.876 0.124
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0592 0.84710 0.988 0.000 0.012
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.6205 0.70974 0.008 0.656 0.336
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.1015 0.84613 0.980 0.012 0.008
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.5621 0.71614 0.000 0.692 0.308
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.6012 0.38841 0.088 0.788 0.124
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.6541 0.87893 0.024 0.304 0.672
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.3129 0.64406 0.008 0.904 0.088
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.1905 0.83475 0.956 0.028 0.016
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0237 0.84581 0.996 0.004 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.3293 0.61014 0.012 0.900 0.088
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.5621 0.71614 0.000 0.692 0.308
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.6541 0.87893 0.024 0.304 0.672
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0592 0.84710 0.988 0.000 0.012
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.5621 0.71614 0.000 0.692 0.308
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.1031 0.64017 0.000 0.976 0.024
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.5621 0.71614 0.000 0.692 0.308
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.6541 0.87893 0.024 0.304 0.672
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.5791 0.64096 0.048 0.784 0.168
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.6541 0.87893 0.024 0.304 0.672
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.4281 0.55546 0.056 0.872 0.072
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 2 0.4921 0.52374 0.084 0.844 0.072
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.5621 0.71614 0.000 0.692 0.308
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.6570 0.87860 0.024 0.308 0.668
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.6570 0.87860 0.024 0.308 0.668
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.1989 0.82417 0.948 0.004 0.048
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.5591 0.71651 0.000 0.696 0.304
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.6541 0.87893 0.024 0.304 0.672
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.5202 0.68953 0.008 0.772 0.220
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 2 0.4165 0.55815 0.076 0.876 0.048
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0475 0.84567 0.992 0.004 0.004
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0848 0.84504 0.984 0.008 0.008
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.3043 0.62312 0.008 0.908 0.084
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.5621 0.71614 0.000 0.692 0.308
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 2 0.6922 0.25090 0.200 0.720 0.080
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0475 0.84567 0.992 0.004 0.004
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.6541 0.87893 0.024 0.304 0.672
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0475 0.84567 0.992 0.004 0.004
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.6651 0.86061 0.020 0.340 0.640
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 2 0.6895 0.22584 0.212 0.716 0.072
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.9304 -0.04164 0.516 0.280 0.204
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.1525 0.83684 0.964 0.032 0.004
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.5591 0.71651 0.000 0.696 0.304
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 3 0.9173 0.83474 0.176 0.304 0.520
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 2 0.7058 0.21839 0.180 0.720 0.100
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.2810 0.82048 0.928 0.036 0.036
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.7245 0.26270 0.596 0.036 0.368
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.0475 0.84567 0.992 0.004 0.004
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.0592 0.84710 0.988 0.000 0.012
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.0892 0.64298 0.000 0.980 0.020
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.2879 0.81396 0.924 0.024 0.052
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.5431 0.71779 0.000 0.716 0.284
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 2 0.4838 0.51459 0.076 0.848 0.076
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.3207 0.61376 0.012 0.904 0.084
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 2 0.5873 0.17879 0.004 0.684 0.312
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 3 0.6742 0.87579 0.028 0.316 0.656
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.5621 0.71614 0.000 0.692 0.308
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 3 0.9390 0.80638 0.184 0.340 0.476
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.6541 0.87893 0.024 0.304 0.672
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 3 0.9212 0.83097 0.180 0.304 0.516
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.0592 0.84710 0.988 0.000 0.012
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0592 0.84710 0.988 0.000 0.012
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.6541 0.87893 0.024 0.304 0.672
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.0424 0.84705 0.992 0.000 0.008
#> B54317C9-8704-42A6-BE96-E12855874596 2 0.4654 0.40216 0.000 0.792 0.208
#> 759B6273-634D-4145-AA95-452D628BF100 2 0.8752 -0.22828 0.320 0.548 0.132
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.6018 0.71528 0.008 0.684 0.308
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.0237 0.84581 0.996 0.004 0.000
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 3 0.8720 0.85585 0.124 0.336 0.540
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 1 0.0475 0.84567 0.992 0.004 0.004
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.2939 0.59253 0.012 0.916 0.072
#> A6177818-114B-437B-9928-A6747A788109 1 0.6589 0.48948 0.688 0.280 0.032
#> E7064800-48FD-492A-A074-84A0B2452445 3 0.6715 0.87739 0.028 0.312 0.660
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.5591 0.71651 0.000 0.696 0.304
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0592 0.84710 0.988 0.000 0.012
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.5591 0.71651 0.000 0.696 0.304
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.6541 0.87893 0.024 0.304 0.672
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 1 0.3009 0.80842 0.920 0.028 0.052
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 1 0.0475 0.84567 0.992 0.004 0.004
#> EB235E9A-E453-4108-AD4F-31260F4340A6 3 0.9589 0.47840 0.376 0.200 0.424
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 1 0.0237 0.84581 0.996 0.004 0.000
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 3 0.8610 0.85990 0.116 0.336 0.548
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.0592 0.84710 0.988 0.000 0.012
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 1 0.2773 0.81328 0.928 0.024 0.048
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 1 0.0475 0.84567 0.992 0.004 0.004
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 3 0.6541 0.87893 0.024 0.304 0.672
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 3 0.6541 0.87893 0.024 0.304 0.672
#> 94128D59-A5BB-4460-A671-5E1571726C4D 2 0.7389 -0.63215 0.032 0.504 0.464
#> 12BE2E3A-1B57-4EEE-B130-E70B6BE5A96B 1 0.0592 0.84710 0.988 0.000 0.012
#> 66600553-0E68-405C-81A3-4064DA18737D 2 0.2165 0.65704 0.000 0.936 0.064
#> C65B6272-DD2B-4075-963B-746F8904B395 2 0.5621 0.71614 0.000 0.692 0.308
#> EC7F0653-0AC0-47AF-A6A2-0475E149065F 1 0.7012 0.41485 0.652 0.308 0.040
#> 3EEB805B-3DC3-47AD-9D83-672D39333B8F 3 0.9478 0.79837 0.196 0.336 0.468
#> ECC99215-F4FB-40D3-A44D-549D681F0CAD 2 0.5873 0.17879 0.004 0.684 0.312
#> ED242FAE-14D1-4804-9C96-281197D485A4 2 0.6906 0.22774 0.192 0.724 0.084
#> 3BB9FC05-3230-4C65-9259-ED8FE65AD473 1 0.6698 0.47868 0.684 0.280 0.036
#> 57C51F55-9F3A-44F0-99DB-EE3557C04373 1 0.0000 0.84651 1.000 0.000 0.000
#> 90F8EB31-A33C-4434-90FC-B6721774D68C 3 0.9412 0.80595 0.188 0.336 0.476
#> 6516F0BC-00E2-40E6-9B9D-420F0DA30FA5 1 0.6355 0.50698 0.696 0.280 0.024
#> 0CCE788F-74E5-4562-82EA-EB39912298E4 2 0.5431 0.71779 0.000 0.716 0.284
#> 1B2E1531-7C1F-4BAF-BC45-42425B7B8891 2 0.1031 0.64017 0.000 0.976 0.024
#> 1CA3C03E-20A1-401E-BE97-12D0E506AFB8 1 0.1529 0.83519 0.960 0.000 0.040
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#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.5621 0.71614 0.000 0.692 0.308
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.3765 0.78517 0.888 0.028 0.084
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.1753 0.62893 0.000 0.952 0.048
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.0892 0.64298 0.000 0.980 0.020
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.5591 0.71651 0.000 0.696 0.304
#> 000F8487-E841-4370-B958-85AB3A6D88F9 2 0.1031 0.64123 0.000 0.976 0.024
#> B822A426-98C1-4976-9FC2-16347992AD78 3 0.7310 0.87855 0.048 0.324 0.628
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.5621 0.71614 0.000 0.692 0.308
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0592 0.84710 0.988 0.000 0.012
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.5621 0.71614 0.000 0.692 0.308
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.6541 0.87893 0.024 0.304 0.672
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.5497 0.71776 0.000 0.708 0.292
#> E9894334-C852-4159-9FEB-40292B160CC1 2 0.5291 0.29921 0.000 0.732 0.268
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.5241 0.61533 0.048 0.820 0.132
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.0424 0.84705 0.992 0.000 0.008
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.2749 0.59629 0.012 0.924 0.064
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.3528 0.59658 0.016 0.892 0.092
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.5621 0.71614 0.000 0.692 0.308
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.4745 0.50725 0.068 0.852 0.080
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 2 0.2261 0.61371 0.000 0.932 0.068
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.7310 0.87856 0.048 0.324 0.628
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.64614 0.000 1.000 0.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.8162 0.22077 0.568 0.348 0.084
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 3 0.9783 0.72062 0.264 0.300 0.436
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 3 0.9623 0.76584 0.232 0.304 0.464
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0661 0.84529 0.988 0.004 0.008
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.7236 0.20041 0.576 0.032 0.392
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.9450 -0.10622 0.492 0.296 0.212
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0592 0.84710 0.988 0.000 0.012
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.7876 0.34391 0.612 0.308 0.080
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 3 0.8648 0.86033 0.120 0.332 0.548
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.5138 0.30462 0.000 0.748 0.252
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0592 0.84710 0.988 0.000 0.012
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0592 0.84682 0.988 0.000 0.012
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.5621 0.71614 0.000 0.692 0.308
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0661 0.84529 0.988 0.004 0.008
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.1163 0.66113 0.000 0.972 0.028
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.9663 -0.22676 0.456 0.308 0.236
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.9062 0.01223 0.512 0.336 0.152
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 3 0.9485 0.71400 0.212 0.304 0.484
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.5639 0.44751 0.112 0.808 0.080
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.3445 0.61369 0.016 0.896 0.088
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.5591 0.71651 0.000 0.696 0.304
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 3 0.9642 0.48050 0.376 0.208 0.416
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.5621 0.71614 0.000 0.692 0.308
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.9668 -0.26122 0.436 0.344 0.220
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.5621 0.71614 0.000 0.692 0.308
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.6541 0.87893 0.024 0.304 0.672
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.6102 0.71370 0.008 0.672 0.320
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.8132 0.87963 0.096 0.304 0.600
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 3 0.9106 0.83518 0.156 0.336 0.508
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0475 0.64319 0.004 0.992 0.004
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.2486 0.59738 0.008 0.932 0.060
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.8089 0.88061 0.092 0.308 0.600
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.5958 0.71264 0.008 0.692 0.300
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0475 0.84567 0.992 0.004 0.004
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.6570 0.87702 0.024 0.308 0.668
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0592 0.84710 0.988 0.000 0.012
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.2031 0.83469 0.952 0.032 0.016
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0661 0.84529 0.988 0.004 0.008
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.5621 0.71614 0.000 0.692 0.308
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.9496 0.77237 0.188 0.372 0.440
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.6129 0.70543 0.008 0.668 0.324
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.6803 0.47519 0.680 0.280 0.040
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.8771 0.85727 0.140 0.304 0.556
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0892 0.64298 0.000 0.980 0.020
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0892 0.64298 0.000 0.980 0.020
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0892 0.64298 0.000 0.980 0.020
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.5873 0.17879 0.004 0.684 0.312
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 2 0.8236 -0.21064 0.416 0.508 0.076
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0475 0.84567 0.992 0.004 0.004
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.84651 1.000 0.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0237 0.84581 0.996 0.004 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0892 0.64298 0.000 0.980 0.020
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.5737 0.56220 0.732 0.256 0.012
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.5431 0.71779 0.000 0.716 0.284
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0475 0.84567 0.992 0.004 0.004
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.5431 0.71803 0.000 0.716 0.284
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0892 0.64260 0.000 0.980 0.020
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.6441 0.50818 0.696 0.276 0.028
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0592 0.84710 0.988 0.000 0.012
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.6541 0.87893 0.024 0.304 0.672
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.1015 0.84650 0.980 0.008 0.012
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.5621 0.71614 0.000 0.692 0.308
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0424 0.84705 0.992 0.000 0.008
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.7029 -0.41912 0.020 0.540 0.440
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0592 0.84710 0.988 0.000 0.012
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.7301 0.39635 0.640 0.308 0.052
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.6447 0.29685 0.196 0.744 0.060
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0592 0.84710 0.988 0.000 0.012
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.6677 0.87171 0.024 0.324 0.652
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.5873 0.17879 0.004 0.684 0.312
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.6252 0.52681 0.708 0.268 0.024
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.5431 0.71779 0.000 0.716 0.284
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.7666 0.38052 0.636 0.288 0.076
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.5928 0.71559 0.008 0.696 0.296
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.5363 0.71820 0.000 0.724 0.276
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.4565 0.55052 0.076 0.860 0.064
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.1031 0.64017 0.000 0.976 0.024
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.8720 0.85856 0.136 0.304 0.560
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0237 0.84638 0.996 0.000 0.004
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.6703 0.51215 0.692 0.268 0.040
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.84651 1.000 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.1950 0.61740 0.008 0.952 0.040
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.8349 0.87771 0.108 0.308 0.584
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.5621 0.71614 0.000 0.692 0.308
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.1774 0.83619 0.960 0.024 0.016
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0475 0.84567 0.992 0.004 0.004
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.2866 0.61298 0.008 0.916 0.076
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.1489 0.778884 0.000 0.952 0.004 0.044
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.5486 0.640241 0.200 0.000 0.720 0.080
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.7143 0.319692 0.000 0.560 0.232 0.208
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.3659 0.770826 0.840 0.000 0.024 0.136
#> 0797DC35-6243-451D-9653-9649D390C0F4 3 0.6694 0.269142 0.392 0.000 0.516 0.092
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.6642 0.201648 0.424 0.000 0.492 0.084
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.3991 0.697593 0.120 0.000 0.832 0.048
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.1807 0.722213 0.052 0.000 0.940 0.008
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0188 0.789324 0.000 0.996 0.000 0.004
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.3266 0.721683 0.832 0.000 0.000 0.168
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0188 0.789221 0.000 0.996 0.000 0.004
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.7251 0.698160 0.036 0.176 0.156 0.632
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.4655 0.670586 0.000 0.796 0.116 0.088
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.5420 0.598864 0.272 0.000 0.684 0.044
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.4401 0.742101 0.812 0.000 0.076 0.112
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.6238 0.586967 0.652 0.000 0.236 0.112
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.5003 0.699479 0.768 0.000 0.148 0.084
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0592 0.787693 0.000 0.984 0.000 0.016
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.5421 0.648407 0.200 0.000 0.724 0.076
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.3521 0.774138 0.864 0.000 0.052 0.084
#> 82341457-7386-4C56-9DAF-A8F020055685 4 0.7148 0.717088 0.004 0.200 0.216 0.580
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.5511 0.643583 0.196 0.000 0.720 0.084
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.1890 0.722467 0.056 0.000 0.936 0.008
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.2282 0.779352 0.924 0.000 0.024 0.052
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.3674 0.693133 0.000 0.848 0.116 0.036
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.3266 0.721683 0.832 0.000 0.000 0.168
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.5282 0.643495 0.036 0.000 0.276 0.688
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.7123 0.710498 0.016 0.188 0.180 0.616
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.4636 0.672283 0.188 0.000 0.772 0.040
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.6840 0.374386 0.000 0.600 0.220 0.180
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.5420 0.604914 0.272 0.000 0.684 0.044
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.789353 1.000 0.000 0.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0188 0.789572 0.996 0.000 0.000 0.004
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.1890 0.722555 0.056 0.000 0.936 0.008
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.3311 0.721420 0.828 0.000 0.000 0.172
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.2125 0.697177 0.004 0.000 0.920 0.076
#> 333F9855-9462-46B8-87C8-E9B01572C101 3 0.6326 0.608780 0.188 0.012 0.684 0.116
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.4624 0.676855 0.784 0.000 0.164 0.052
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.789353 1.000 0.000 0.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0188 0.789572 0.996 0.000 0.000 0.004
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.789410 0.000 1.000 0.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.789410 0.000 1.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.3266 0.721683 0.832 0.000 0.000 0.168
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.6436 0.491096 0.608 0.000 0.292 0.100
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.3266 0.721683 0.832 0.000 0.000 0.168
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.2142 0.781208 0.928 0.000 0.016 0.056
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.1256 0.718407 0.028 0.000 0.964 0.008
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.789410 0.000 1.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.5690 0.562984 0.000 0.716 0.116 0.168
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.1474 0.778402 0.948 0.000 0.000 0.052
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.1305 0.781765 0.000 0.960 0.004 0.036
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.3793 0.761186 0.844 0.000 0.044 0.112
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0592 0.787693 0.000 0.984 0.000 0.016
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.8616 -0.081337 0.052 0.388 0.384 0.176
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.1302 0.678929 0.000 0.000 0.956 0.044
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.6665 0.454741 0.004 0.636 0.156 0.204
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.6084 0.550688 0.656 0.000 0.252 0.092
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#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.1302 0.678929 0.000 0.000 0.956 0.044
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.3266 0.721683 0.832 0.000 0.000 0.168
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.5035 0.760409 0.744 0.000 0.052 0.204
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0921 0.789910 0.972 0.000 0.000 0.028
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.2522 0.737792 0.000 0.908 0.076 0.016
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.6741 0.601329 0.196 0.032 0.668 0.104
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.4956 0.651811 0.000 0.756 0.056 0.188
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.5823 0.640637 0.704 0.000 0.176 0.120
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.3107 0.719343 0.080 0.000 0.884 0.036
#> 5663C145-B465-4509-BA9A-1A40584952BD 4 0.6936 0.751761 0.000 0.148 0.284 0.568
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 4 0.6917 0.751335 0.000 0.144 0.288 0.568
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 4 0.6897 0.752459 0.000 0.144 0.284 0.572
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 4 0.4992 0.559982 0.000 0.000 0.476 0.524
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.8131 0.285082 0.536 0.044 0.212 0.208
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.789353 1.000 0.000 0.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.1854 0.784157 0.940 0.000 0.012 0.048
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.3521 0.751165 0.864 0.000 0.084 0.052
#> D316C207-8020-47A7-8C2D-753CF42223B5 4 0.6936 0.751761 0.000 0.148 0.284 0.568
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.4547 0.734056 0.804 0.000 0.092 0.104
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.3934 0.690539 0.000 0.836 0.116 0.048
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0336 0.789737 0.992 0.000 0.000 0.008
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.5742 0.606598 0.000 0.712 0.120 0.168
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.7748 -0.112363 0.000 0.440 0.284 0.276
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.7069 0.135249 0.468 0.000 0.408 0.124
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.3266 0.721683 0.832 0.000 0.000 0.168
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.2081 0.646430 0.000 0.000 0.916 0.084
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.3853 0.770570 0.820 0.000 0.020 0.160
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.789410 0.000 1.000 0.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.1022 0.789534 0.968 0.000 0.000 0.032
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.2281 0.630609 0.000 0.000 0.904 0.096
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.3444 0.721211 0.816 0.000 0.000 0.184
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.7474 0.360126 0.564 0.016 0.252 0.168
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.8000 0.129346 0.480 0.016 0.220 0.284
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.3444 0.721756 0.816 0.000 0.000 0.184
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.1211 0.681041 0.000 0.000 0.960 0.040
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 4 0.4992 0.559982 0.000 0.000 0.476 0.524
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.5361 0.683600 0.744 0.000 0.148 0.108
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.2002 0.763345 0.000 0.936 0.044 0.020
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.6854 0.305448 0.528 0.000 0.360 0.112
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.1398 0.781169 0.000 0.956 0.004 0.040
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.2450 0.763698 0.000 0.912 0.016 0.072
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.6505 0.711333 0.024 0.064 0.268 0.644
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 4 0.7015 0.662900 0.000 0.264 0.168 0.568
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.2300 0.723338 0.064 0.000 0.920 0.016
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.789353 1.000 0.000 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.5576 0.653978 0.720 0.000 0.184 0.096
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.1474 0.783873 0.948 0.000 0.000 0.052
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.6756 0.382025 0.000 0.612 0.200 0.188
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.3925 0.681943 0.176 0.000 0.808 0.016
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.789410 0.000 1.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.5598 0.585331 0.704 0.000 0.220 0.076
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.789353 1.000 0.000 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.6511 0.475832 0.000 0.640 0.172 0.188
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.2953 0.69078 0.000 0.844 0.000 0.144 0.012
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.6680 0.51016 0.168 0.000 0.552 0.028 0.252
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.7768 -0.05724 0.000 0.376 0.060 0.272 0.292
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.4425 0.68521 0.716 0.000 0.000 0.244 0.040
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.4816 0.65562 0.760 0.000 0.128 0.024 0.088
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.5465 0.50147 0.660 0.000 0.244 0.012 0.084
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.6139 0.60611 0.204 0.000 0.648 0.060 0.088
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.3445 0.67534 0.140 0.000 0.824 0.000 0.036
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0162 0.79017 0.000 0.996 0.000 0.000 0.004
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.3661 0.65652 0.724 0.000 0.000 0.276 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.79083 0.000 1.000 0.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 5 0.3239 0.40180 0.012 0.156 0.000 0.004 0.828
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.4711 0.58559 0.000 0.744 0.020 0.188 0.048
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.7722 0.29956 0.320 0.000 0.420 0.084 0.176
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.3767 0.69918 0.800 0.000 0.008 0.168 0.024
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.6001 0.67066 0.648 0.000 0.076 0.224 0.052
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.4238 0.64346 0.756 0.000 0.000 0.052 0.192
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.1117 0.77978 0.000 0.964 0.000 0.016 0.020
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.7387 0.49635 0.188 0.000 0.520 0.084 0.208
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.3002 0.74936 0.872 0.000 0.004 0.076 0.048
#> 82341457-7386-4C56-9DAF-A8F020055685 5 0.4202 0.40376 0.000 0.228 0.012 0.016 0.744
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.7291 0.50430 0.184 0.000 0.528 0.076 0.212
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.4373 0.66392 0.160 0.000 0.760 0.000 0.080
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.3119 0.74771 0.860 0.000 0.000 0.068 0.072
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.4394 0.58737 0.000 0.756 0.016 0.196 0.032
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.3684 0.66251 0.720 0.000 0.000 0.280 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 5 0.4533 0.33482 0.020 0.000 0.060 0.148 0.772
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 5 0.3544 0.41993 0.008 0.200 0.004 0.000 0.788
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.6026 0.23026 0.436 0.000 0.468 0.008 0.088
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.8003 -0.08269 0.000 0.400 0.100 0.228 0.272
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.5629 0.52037 0.312 0.000 0.588 0.000 0.100
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.1831 0.74813 0.920 0.000 0.000 0.076 0.004
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.1638 0.75133 0.932 0.000 0.000 0.064 0.004
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.4334 0.66495 0.156 0.000 0.764 0.000 0.080
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.3636 0.66509 0.728 0.000 0.000 0.272 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.3570 0.63631 0.004 0.000 0.828 0.124 0.044
#> 333F9855-9462-46B8-87C8-E9B01572C101 3 0.7524 0.32363 0.212 0.000 0.440 0.056 0.292
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.3066 0.75785 0.880 0.000 0.024 0.048 0.048
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.1831 0.74813 0.920 0.000 0.000 0.076 0.004
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.1704 0.75035 0.928 0.000 0.000 0.068 0.004
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0324 0.79015 0.000 0.992 0.000 0.004 0.004
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.79083 0.000 1.000 0.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.3661 0.65652 0.724 0.000 0.000 0.276 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.5368 0.65986 0.736 0.000 0.076 0.108 0.080
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.3661 0.65652 0.724 0.000 0.000 0.276 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.1697 0.75619 0.932 0.000 0.000 0.060 0.008
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.4800 0.65993 0.148 0.000 0.748 0.012 0.092
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.79083 0.000 1.000 0.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.5940 0.39675 0.000 0.612 0.004 0.184 0.200
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.3452 0.68036 0.756 0.000 0.000 0.244 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0807 0.78197 0.000 0.976 0.000 0.012 0.012
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.2848 0.72243 0.840 0.000 0.000 0.156 0.004
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0798 0.78537 0.000 0.976 0.000 0.016 0.008
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 5 0.9632 -0.23594 0.144 0.124 0.176 0.240 0.316
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0290 0.64292 0.000 0.000 0.992 0.008 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.6751 0.13254 0.000 0.476 0.008 0.292 0.224
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.5975 0.68622 0.668 0.000 0.064 0.188 0.080
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.1892 0.75197 0.916 0.000 0.000 0.080 0.004
#> F42EDEA7-271C-4A65-8113-62FA64424535 4 0.8773 0.08317 0.104 0.284 0.028 0.292 0.292
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.79083 0.000 1.000 0.000 0.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.1956 0.67644 0.008 0.000 0.916 0.000 0.076
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.3661 0.67585 0.724 0.000 0.000 0.276 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0290 0.78938 0.000 0.992 0.000 0.000 0.008
#> D6654189-0570-4603-8C92-3032F2CF7EF3 5 0.6651 0.42248 0.000 0.188 0.016 0.268 0.528
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0162 0.79017 0.000 0.996 0.000 0.000 0.004
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.1205 0.66568 0.004 0.000 0.956 0.000 0.040
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.7740 -0.06143 0.004 0.412 0.052 0.264 0.268
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0703 0.65904 0.000 0.000 0.976 0.000 0.024
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 5 0.8803 -0.20161 0.116 0.236 0.028 0.304 0.316
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 5 0.3239 0.40163 0.012 0.156 0.000 0.004 0.828
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0290 0.78938 0.000 0.992 0.000 0.000 0.008
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.2664 0.67922 0.020 0.000 0.884 0.004 0.092
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.5814 0.18261 0.436 0.000 0.472 0.000 0.092
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.1670 0.75544 0.936 0.000 0.000 0.052 0.012
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.79083 0.000 1.000 0.000 0.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0290 0.64292 0.000 0.000 0.992 0.008 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.6287 0.25306 0.000 0.528 0.000 0.276 0.196
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 5 0.3474 0.41838 0.008 0.192 0.000 0.004 0.796
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.1831 0.74813 0.920 0.000 0.000 0.076 0.004
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.1845 0.76287 0.928 0.000 0.000 0.056 0.016
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.7113 0.03793 0.000 0.440 0.020 0.292 0.248
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0290 0.78938 0.000 0.992 0.000 0.000 0.008
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 5 0.4597 0.01432 0.260 0.000 0.012 0.024 0.704
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.1831 0.74813 0.920 0.000 0.000 0.076 0.004
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0794 0.66147 0.000 0.000 0.972 0.000 0.028
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.1768 0.75934 0.924 0.000 0.000 0.072 0.004
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.3039 0.56873 0.000 0.000 0.836 0.012 0.152
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 5 0.5152 -0.15941 0.392 0.000 0.012 0.024 0.572
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.5721 0.59270 0.696 0.000 0.160 0.056 0.088
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.2124 0.74819 0.900 0.000 0.000 0.096 0.004
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0162 0.79017 0.000 0.996 0.000 0.000 0.004
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 3 0.5344 0.60140 0.244 0.000 0.660 0.004 0.092
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 5 0.6792 -0.12385 0.248 0.000 0.228 0.016 0.508
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.4916 0.68782 0.768 0.000 0.096 0.056 0.080
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.5659 0.50620 0.660 0.000 0.232 0.024 0.084
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.1831 0.74813 0.920 0.000 0.000 0.076 0.004
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.3684 0.65624 0.720 0.000 0.000 0.280 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 5 0.7239 0.22907 0.000 0.324 0.020 0.272 0.384
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.5677 0.69926 0.708 0.000 0.076 0.136 0.080
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#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.3913 0.65647 0.676 0.000 0.000 0.324 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0290 0.78938 0.000 0.992 0.000 0.000 0.008
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.2124 0.76056 0.900 0.000 0.000 0.096 0.004
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.3058 0.52201 0.000 0.000 0.860 0.096 0.044
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.3661 0.67040 0.724 0.000 0.000 0.276 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 4 0.7584 0.40707 0.320 0.004 0.040 0.404 0.232
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 4 0.7963 0.41636 0.308 0.024 0.028 0.324 0.316
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.3586 0.67282 0.736 0.000 0.000 0.264 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0609 0.65672 0.000 0.000 0.980 0.000 0.020
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 5 0.6037 0.31750 0.000 0.000 0.436 0.116 0.448
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.4676 0.66093 0.760 0.000 0.044 0.164 0.032
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.3961 0.61494 0.000 0.780 0.004 0.184 0.032
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.6476 0.51162 0.636 0.000 0.084 0.116 0.164
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.1965 0.75421 0.000 0.924 0.000 0.052 0.024
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.1731 0.76386 0.000 0.932 0.004 0.004 0.060
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.2043 0.38988 0.008 0.012 0.048 0.004 0.928
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.6495 0.41654 0.000 0.208 0.008 0.248 0.536
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.3229 0.67869 0.128 0.000 0.840 0.000 0.032
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.2172 0.75003 0.908 0.000 0.000 0.076 0.016
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.5373 0.64182 0.704 0.000 0.024 0.180 0.092
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.1845 0.75774 0.928 0.000 0.000 0.056 0.016
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.8190 -0.13480 0.000 0.364 0.124 0.296 0.216
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.4991 0.64363 0.180 0.000 0.720 0.008 0.092
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.79083 0.000 1.000 0.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.4826 0.73393 0.764 0.000 0.032 0.124 0.080
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.2069 0.74948 0.912 0.000 0.000 0.076 0.012
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.7671 -0.05947 0.000 0.404 0.056 0.268 0.272
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.1957 0.7760 0.000 0.888 0.000 0.000 0.000 0.112
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.3975 0.3714 0.008 0.000 0.600 0.000 0.000 0.392
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.3078 0.6532 0.000 0.192 0.000 0.000 0.796 0.012
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.3852 0.7135 0.740 0.000 0.000 0.224 0.004 0.032
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.5613 0.6307 0.664 0.000 0.120 0.120 0.000 0.096
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.6465 0.1723 0.460 0.000 0.360 0.092 0.000 0.088
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.4271 0.5055 0.236 0.000 0.716 0.012 0.004 0.032
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.1296 0.6909 0.004 0.000 0.948 0.000 0.004 0.044
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0146 0.8564 0.000 0.996 0.000 0.000 0.000 0.004
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.3265 0.7004 0.748 0.000 0.000 0.248 0.000 0.004
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.8571 0.000 1.000 0.000 0.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.6395 0.7821 0.004 0.100 0.000 0.572 0.212 0.112
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.3965 0.3201 0.000 0.604 0.000 0.000 0.388 0.008
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.5629 0.0805 0.148 0.000 0.448 0.000 0.000 0.404
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.4111 0.7053 0.748 0.000 0.000 0.108 0.000 0.144
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.5171 0.7126 0.660 0.000 0.044 0.232 0.000 0.064
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.3263 0.7302 0.832 0.000 0.012 0.040 0.000 0.116
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.2442 0.7601 0.000 0.852 0.000 0.000 0.144 0.004
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.4214 0.2071 0.008 0.000 0.528 0.000 0.004 0.460
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.3261 0.7754 0.820 0.000 0.012 0.144 0.000 0.024
#> 82341457-7386-4C56-9DAF-A8F020055685 4 0.7691 0.6012 0.000 0.204 0.012 0.396 0.216 0.172
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.5211 0.2390 0.096 0.000 0.516 0.000 0.000 0.388
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.1856 0.6869 0.032 0.000 0.920 0.000 0.000 0.048
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.1719 0.7807 0.932 0.000 0.004 0.032 0.000 0.032
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.3409 0.5187 0.000 0.700 0.000 0.000 0.300 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.3457 0.7128 0.752 0.000 0.000 0.232 0.000 0.016
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.4254 0.6450 0.004 0.000 0.000 0.656 0.312 0.028
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.5835 0.6777 0.004 0.200 0.000 0.572 0.212 0.012
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.6093 0.3098 0.272 0.000 0.556 0.056 0.000 0.116
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 6 0.3986 0.3376 0.000 0.340 0.004 0.004 0.004 0.648
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.5094 0.3185 0.336 0.000 0.568 0.000 0.000 0.096
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.1219 0.7801 0.948 0.000 0.000 0.048 0.000 0.004
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0937 0.7830 0.960 0.000 0.000 0.040 0.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.1588 0.6850 0.004 0.000 0.924 0.000 0.000 0.072
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.3298 0.7035 0.756 0.000 0.000 0.236 0.000 0.008
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.4136 0.6258 0.000 0.000 0.764 0.164 0.040 0.032
#> 333F9855-9462-46B8-87C8-E9B01572C101 6 0.5754 0.0664 0.080 0.012 0.404 0.008 0.004 0.492
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.2736 0.7810 0.876 0.000 0.020 0.076 0.000 0.028
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.1219 0.7801 0.948 0.000 0.000 0.048 0.000 0.004
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0937 0.7830 0.960 0.000 0.000 0.040 0.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0291 0.8563 0.000 0.992 0.000 0.000 0.004 0.004
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0146 0.8564 0.000 0.996 0.000 0.000 0.000 0.004
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.3265 0.7004 0.748 0.000 0.000 0.248 0.000 0.004
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.4013 0.7408 0.768 0.000 0.004 0.104 0.000 0.124
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.3240 0.7012 0.752 0.000 0.000 0.244 0.000 0.004
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.1074 0.7851 0.960 0.000 0.000 0.028 0.000 0.012
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.3547 0.5242 0.004 0.000 0.696 0.000 0.000 0.300
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.8571 0.000 1.000 0.000 0.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.3969 0.6062 0.000 0.312 0.000 0.000 0.668 0.020
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.2595 0.7571 0.836 0.000 0.000 0.160 0.000 0.004
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0146 0.8559 0.000 0.996 0.000 0.000 0.000 0.004
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.3196 0.7645 0.828 0.000 0.000 0.108 0.000 0.064
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.2402 0.7639 0.000 0.856 0.000 0.000 0.140 0.004
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 6 0.4261 0.4584 0.008 0.068 0.172 0.000 0.004 0.748
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.2955 0.6429 0.000 0.000 0.816 0.004 0.008 0.172
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.4056 0.2617 0.000 0.576 0.000 0.004 0.004 0.416
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.4749 0.7293 0.648 0.000 0.032 0.292 0.000 0.028
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.2948 0.7699 0.848 0.000 0.000 0.092 0.000 0.060
#> F42EDEA7-271C-4A65-8113-62FA64424535 6 0.5628 0.3831 0.160 0.296 0.000 0.000 0.004 0.540
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.8571 0.000 1.000 0.000 0.000 0.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.2609 0.6716 0.036 0.000 0.868 0.000 0.000 0.096
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.4227 0.7226 0.692 0.000 0.000 0.256 0.000 0.052
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0937 0.8429 0.000 0.960 0.000 0.000 0.040 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 5 0.3472 0.6101 0.000 0.092 0.000 0.100 0.808 0.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0363 0.8546 0.000 0.988 0.000 0.000 0.012 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0713 0.6917 0.000 0.000 0.972 0.000 0.000 0.028
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 6 0.3899 0.2638 0.000 0.404 0.000 0.000 0.004 0.592
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0632 0.6897 0.000 0.000 0.976 0.000 0.000 0.024
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 6 0.5404 0.3978 0.096 0.188 0.000 0.044 0.004 0.668
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.6392 0.7870 0.004 0.116 0.000 0.572 0.212 0.096
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0508 0.8541 0.000 0.984 0.000 0.000 0.012 0.004
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.1910 0.6772 0.000 0.000 0.892 0.000 0.000 0.108
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.6083 0.2849 0.292 0.000 0.548 0.064 0.000 0.096
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.1616 0.7910 0.932 0.000 0.000 0.020 0.000 0.048
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0146 0.8564 0.000 0.996 0.000 0.000 0.000 0.004
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.2989 0.6442 0.000 0.000 0.812 0.004 0.008 0.176
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.3930 0.2504 0.000 0.576 0.000 0.000 0.004 0.420
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.6392 0.7870 0.004 0.116 0.000 0.572 0.212 0.096
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.1219 0.7801 0.948 0.000 0.000 0.048 0.000 0.004
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.1418 0.7836 0.944 0.000 0.000 0.032 0.000 0.024
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 6 0.4128 0.0334 0.000 0.488 0.000 0.004 0.004 0.504
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0291 0.8563 0.000 0.992 0.000 0.000 0.004 0.004
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.7377 0.6178 0.108 0.000 0.048 0.508 0.204 0.132
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.1152 0.7811 0.952 0.000 0.000 0.044 0.000 0.004
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0777 0.6918 0.000 0.000 0.972 0.004 0.000 0.024
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.1411 0.7904 0.936 0.000 0.000 0.060 0.000 0.004
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.2308 0.6852 0.000 0.000 0.892 0.000 0.040 0.068
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.8216 0.4442 0.188 0.008 0.084 0.440 0.148 0.132
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.5291 0.6653 0.696 0.000 0.104 0.096 0.000 0.104
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.3092 0.7655 0.836 0.000 0.000 0.104 0.000 0.060
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0146 0.8564 0.000 0.996 0.000 0.000 0.000 0.004
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 3 0.4314 0.5125 0.232 0.000 0.716 0.012 0.004 0.036
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 3 0.8348 0.0682 0.128 0.000 0.388 0.224 0.124 0.136
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.4513 0.7410 0.744 0.000 0.056 0.156 0.000 0.044
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.5846 0.4405 0.592 0.000 0.256 0.060 0.000 0.092
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.1219 0.7801 0.948 0.000 0.000 0.048 0.000 0.004
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.3240 0.7032 0.752 0.000 0.000 0.244 0.000 0.004
#> 7465251E-7BC8-4179-8950-4E41836CF36B 5 0.3457 0.6764 0.000 0.232 0.000 0.000 0.752 0.016
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.4058 0.7676 0.772 0.000 0.044 0.156 0.000 0.028
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.1327 0.8301 0.000 0.936 0.000 0.000 0.064 0.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 6 0.7226 0.2825 0.200 0.048 0.000 0.104 0.120 0.528
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 6 0.5528 0.4386 0.172 0.224 0.000 0.004 0.004 0.596
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.7231 -0.1098 0.000 0.000 0.404 0.132 0.292 0.172
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 3 0.2772 0.6382 0.004 0.000 0.816 0.000 0.000 0.180
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 0.8571 0.000 1.000 0.000 0.000 0.000 0.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 3 0.6241 0.2075 0.012 0.040 0.492 0.092 0.000 0.364
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.2632 0.6494 0.000 0.000 0.832 0.004 0.000 0.164
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 3 0.4146 0.6328 0.048 0.000 0.788 0.116 0.004 0.044
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.3489 0.7229 0.708 0.000 0.000 0.288 0.000 0.004
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.3614 0.7200 0.752 0.000 0.000 0.220 0.000 0.028
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.1858 0.6760 0.000 0.000 0.904 0.004 0.000 0.092
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.1528 0.7830 0.936 0.000 0.000 0.048 0.000 0.016
#> B54317C9-8704-42A6-BE96-E12855874596 5 0.6463 0.3124 0.000 0.056 0.168 0.000 0.508 0.268
#> 759B6273-634D-4145-AA95-452D628BF100 6 0.4764 0.5120 0.136 0.056 0.064 0.000 0.004 0.740
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0000 0.8571 0.000 1.000 0.000 0.000 0.000 0.000
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.2925 0.7749 0.832 0.000 0.016 0.148 0.000 0.004
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#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.1714 0.8067 0.000 0.908 0.000 0.000 0.092 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.2937 0.7777 0.848 0.000 0.000 0.096 0.000 0.056
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.4169 0.5837 0.000 0.000 0.744 0.004 0.080 0.172
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.4110 0.7198 0.712 0.000 0.000 0.236 0.000 0.052
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 6 0.4225 0.4207 0.352 0.012 0.000 0.004 0.004 0.628
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 6 0.4211 0.4725 0.240 0.004 0.012 0.020 0.004 0.720
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.3404 0.7143 0.760 0.000 0.000 0.224 0.000 0.016
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.1644 0.6838 0.000 0.000 0.920 0.004 0.000 0.076
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.7194 -0.1053 0.000 0.000 0.404 0.124 0.300 0.172
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.4402 0.6601 0.712 0.000 0.000 0.104 0.000 0.184
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.3489 0.5421 0.000 0.708 0.000 0.000 0.288 0.004
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.5927 0.3076 0.472 0.000 0.028 0.108 0.000 0.392
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0937 0.8376 0.000 0.960 0.000 0.000 0.000 0.040
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.2003 0.7866 0.000 0.884 0.000 0.000 0.116 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.4317 0.6204 0.004 0.000 0.000 0.572 0.408 0.016
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.3423 0.5987 0.000 0.088 0.000 0.100 0.812 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.2812 0.6673 0.084 0.000 0.868 0.004 0.004 0.040
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.1196 0.7814 0.952 0.000 0.000 0.040 0.000 0.008
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.4977 0.6442 0.668 0.000 0.012 0.108 0.000 0.212
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.1245 0.7870 0.952 0.000 0.000 0.032 0.000 0.016
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.6756 0.3954 0.000 0.268 0.068 0.000 0.468 0.196
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.3558 0.6320 0.088 0.000 0.800 0.000 0.000 0.112
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.8571 0.000 1.000 0.000 0.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.3350 0.7759 0.836 0.000 0.032 0.100 0.000 0.032
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.1196 0.7814 0.952 0.000 0.000 0.040 0.000 0.008
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 6 0.4127 0.2854 0.000 0.400 0.000 0.008 0.004 0.588
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 17416 rows and 433 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 0.928 0.947 0.978 0.5006 0.499 0.499
#> 3 3 0.862 0.867 0.947 0.2647 0.764 0.571
#> 4 4 0.668 0.767 0.850 0.1642 0.820 0.548
#> 5 5 0.734 0.747 0.862 0.0649 0.909 0.673
#> 6 6 0.712 0.640 0.807 0.0391 0.933 0.715
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.9000 0.540 0.316 0.684
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.5059 0.866 0.112 0.888
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#> 6C0B851D-80A8-4E10-8328-9BA08D938849 2 0.9552 0.402 0.376 0.624
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cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.9100 0.000 1.000 0.000
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#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.5882 0.4984 0.348 0.000 0.652
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.0000 0.9044 0.000 0.000 1.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0237 0.9077 0.000 0.996 0.004
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#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.5621 0.5585 0.000 0.692 0.308
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.0000 0.9708 1.000 0.000 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9708 1.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.9708 1.000 0.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0237 0.9675 0.996 0.004 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.9100 0.000 1.000 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.0000 0.9708 1.000 0.000 0.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.9708 1.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.6280 0.2076 0.000 0.540 0.460
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.0000 0.9708 1.000 0.000 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.6215 0.2986 0.428 0.000 0.572
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.9708 1.000 0.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.6252 0.2568 0.000 0.556 0.444
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9708 1.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.7557 0.4903 0.656 0.080 0.264
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.6168 0.3438 0.000 0.588 0.412
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0000 0.9708 1.000 0.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0592 0.9026 0.000 0.988 0.012
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.1031 0.9500 0.976 0.000 0.024
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.9708 1.000 0.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.9708 1.000 0.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.6204 0.3109 0.424 0.000 0.576
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9708 1.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.0000 0.9044 0.000 0.000 1.000
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.2261 0.9028 0.932 0.068 0.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.9708 1.000 0.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.9708 1.000 0.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.9708 1.000 0.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.9100 0.000 1.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9100 0.000 1.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.9708 1.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.9708 1.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.9708 1.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.9708 1.000 0.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.5363 0.6278 0.276 0.000 0.724
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.9100 0.000 1.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.5216 0.6352 0.000 0.740 0.260
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.9708 1.000 0.000 0.000
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#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.9708 1.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.9044 0.000 0.000 1.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.9708 1.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.9100 0.000 1.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.9708 1.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.9044 0.000 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.9708 1.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.5058 0.6831 0.756 0.244 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.0592 0.9003 0.012 0.988 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9708 1.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0000 0.9044 0.000 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.9044 0.000 0.000 1.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.9708 1.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.5178 0.6406 0.000 0.744 0.256
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.9708 1.000 0.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.9100 0.000 1.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0237 0.9077 0.000 0.996 0.004
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 3 0.2066 0.8554 0.000 0.060 0.940
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.6280 0.2071 0.000 0.540 0.460
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.9044 0.000 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.9708 1.000 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.9708 1.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.9708 1.000 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.6192 0.3230 0.000 0.580 0.420
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.0000 0.9708 1.000 0.000 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.9100 0.000 1.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.9708 1.000 0.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.9708 1.000 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.9100 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.1629 0.8706 0.024 0.952 0.000 0.024
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.7521 0.3160 0.184 0.000 0.396 0.420
#> B5567E00-32AA-48D8-8087-1088C22B0994 3 0.5119 0.7462 0.000 0.124 0.764 0.112
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.1792 0.8429 0.932 0.000 0.000 0.068
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.4222 0.5423 0.728 0.000 0.000 0.272
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.5168 0.3028 0.492 0.000 0.004 0.504
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.6788 0.3279 0.188 0.000 0.608 0.204
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.2317 0.8713 0.012 0.012 0.928 0.048
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.3444 0.8502 0.000 0.816 0.000 0.184
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.3801 0.8227 0.220 0.000 0.000 0.780
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.1302 0.8846 0.000 0.956 0.000 0.044
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.4327 0.6684 0.004 0.068 0.104 0.824
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.4379 0.7837 0.000 0.792 0.172 0.036
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.4576 0.8081 0.232 0.020 0.000 0.748
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0524 0.8562 0.988 0.004 0.000 0.008
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.4134 0.7990 0.260 0.000 0.000 0.740
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.5365 0.7311 0.264 0.044 0.000 0.692
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.3266 0.8556 0.000 0.832 0.000 0.168
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.3400 0.8129 0.876 0.004 0.076 0.044
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0921 0.8627 0.972 0.000 0.000 0.028
#> 82341457-7386-4C56-9DAF-A8F020055685 4 0.5200 0.4590 0.000 0.072 0.184 0.744
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.1890 0.8185 0.936 0.056 0.000 0.008
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0895 0.8759 0.020 0.000 0.976 0.004
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.3907 0.8175 0.232 0.000 0.000 0.768
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.5742 0.7517 0.000 0.712 0.120 0.168
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0707 0.8646 0.980 0.000 0.000 0.020
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 4 0.3403 0.7202 0.028 0.044 0.040 0.888
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.6214 0.3345 0.000 0.092 0.272 0.636
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.1211 0.8583 0.960 0.000 0.000 0.040
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.2011 0.8828 0.000 0.920 0.000 0.080
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.7495 0.4368 0.368 0.000 0.184 0.448
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.3726 0.8248 0.212 0.000 0.000 0.788
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.3569 0.8253 0.196 0.000 0.000 0.804
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.6538 0.3672 0.140 0.000 0.628 0.232
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0707 0.8646 0.980 0.000 0.000 0.020
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.2060 0.8695 0.000 0.016 0.932 0.052
#> 333F9855-9462-46B8-87C8-E9B01572C101 2 0.7798 -0.3117 0.248 0.388 0.000 0.364
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.3975 0.8127 0.240 0.000 0.000 0.760
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.3907 0.8177 0.232 0.000 0.000 0.768
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.3649 0.8257 0.204 0.000 0.000 0.796
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0707 0.8843 0.000 0.980 0.000 0.020
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0927 0.8780 0.008 0.976 0.000 0.016
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.2530 0.8030 0.888 0.000 0.000 0.112
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0592 0.8649 0.984 0.000 0.000 0.016
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0817 0.8639 0.976 0.000 0.000 0.024
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.3688 0.8257 0.208 0.000 0.000 0.792
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0707 0.8771 0.020 0.000 0.980 0.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.1940 0.8826 0.000 0.924 0.000 0.076
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.4544 0.8283 0.000 0.788 0.048 0.164
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 4 0.4454 0.7455 0.308 0.000 0.000 0.692
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.1520 0.8714 0.024 0.956 0.000 0.020
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.2149 0.8252 0.912 0.000 0.000 0.088
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.2814 0.8695 0.000 0.868 0.000 0.132
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.3390 0.7973 0.132 0.852 0.000 0.016
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.2530 0.8787 0.000 0.888 0.000 0.112
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0817 0.8639 0.976 0.000 0.000 0.024
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0817 0.8639 0.976 0.000 0.000 0.024
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.2949 0.8330 0.088 0.888 0.000 0.024
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0817 0.8843 0.000 0.976 0.000 0.024
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 1 0.3649 0.7068 0.796 0.000 0.204 0.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0188 0.8626 0.996 0.000 0.000 0.004
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.3356 0.8531 0.000 0.824 0.000 0.176
#> D6654189-0570-4603-8C92-3032F2CF7EF3 3 0.2813 0.8565 0.000 0.024 0.896 0.080
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.2921 0.8672 0.000 0.860 0.000 0.140
#> 481EF2B5-E610-4F19-80F2-22327EE33378 1 0.4907 0.2971 0.580 0.000 0.420 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.3080 0.8270 0.096 0.880 0.000 0.024
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.2450 0.8793 0.016 0.912 0.000 0.072
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.3266 0.7218 0.024 0.108 0.000 0.868
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.1118 0.8836 0.000 0.964 0.000 0.036
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 1 0.4006 0.7458 0.848 0.060 0.084 0.008
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.2089 0.8494 0.932 0.000 0.020 0.048
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.3528 0.8247 0.192 0.000 0.000 0.808
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0469 0.8804 0.000 0.988 0.000 0.012
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.2413 0.8517 0.064 0.916 0.000 0.020
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.3312 0.7454 0.040 0.068 0.008 0.884
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.3610 0.8258 0.200 0.000 0.000 0.800
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.4540 0.8166 0.196 0.032 0.000 0.772
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.2704 0.8747 0.000 0.876 0.000 0.124
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.3400 0.8516 0.000 0.820 0.000 0.180
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.2828 0.7384 0.032 0.020 0.036 0.912
#> A8AE6F61-125B-4103-9F45-3F4C86234826 4 0.4888 0.5506 0.412 0.000 0.000 0.588
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.1637 0.8474 0.940 0.000 0.000 0.060
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.3570 0.7870 0.092 0.000 0.048 0.860
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.0707 0.8646 0.980 0.000 0.000 0.020
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0707 0.8646 0.980 0.000 0.000 0.020
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.2868 0.8696 0.000 0.864 0.000 0.136
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 4 0.4700 0.7811 0.124 0.000 0.084 0.792
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 4 0.3674 0.7443 0.036 0.000 0.116 0.848
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.3311 0.7250 0.828 0.000 0.000 0.172
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 4 0.4543 0.7192 0.324 0.000 0.000 0.676
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 4 0.3975 0.8125 0.240 0.000 0.000 0.760
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.4008 0.5832 0.756 0.000 0.000 0.244
#> 7465251E-7BC8-4179-8950-4E41836CF36B 3 0.7205 0.3366 0.000 0.304 0.528 0.168
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.4164 0.5617 0.736 0.000 0.000 0.264
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.2081 0.8821 0.000 0.916 0.000 0.084
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 2 0.5708 0.2863 0.028 0.556 0.000 0.416
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.2522 0.8451 0.076 0.908 0.000 0.016
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 1 0.3688 0.6920 0.792 0.000 0.208 0.000
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.1022 0.8815 0.000 0.968 0.000 0.032
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 4 0.1593 0.7348 0.024 0.016 0.004 0.956
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 3 0.3082 0.8539 0.040 0.008 0.896 0.056
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.2760 0.7828 0.872 0.000 0.000 0.128
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0707 0.8646 0.980 0.000 0.000 0.020
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 4 0.3649 0.8256 0.204 0.000 0.000 0.796
#> B54317C9-8704-42A6-BE96-E12855874596 3 0.0188 0.8855 0.000 0.000 0.996 0.004
#> 759B6273-634D-4145-AA95-452D628BF100 1 0.3672 0.7097 0.824 0.164 0.000 0.012
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.1042 0.8768 0.008 0.972 0.000 0.020
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.1716 0.8439 0.936 0.000 0.000 0.064
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 3 0.5453 0.2576 0.388 0.000 0.592 0.020
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 4 0.4008 0.8106 0.244 0.000 0.000 0.756
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.2813 0.8396 0.080 0.896 0.000 0.024
#> A6177818-114B-437B-9928-A6747A788109 1 0.1975 0.8214 0.936 0.048 0.000 0.016
#> E7064800-48FD-492A-A074-84A0B2452445 1 0.3699 0.7619 0.864 0.048 0.080 0.008
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.2271 0.8825 0.000 0.916 0.008 0.076
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0707 0.8646 0.980 0.000 0.000 0.020
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.2216 0.8805 0.000 0.908 0.000 0.092
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 4 0.3907 0.8175 0.232 0.000 0.000 0.768
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 4 0.4222 0.7887 0.272 0.000 0.000 0.728
#> EB235E9A-E453-4108-AD4F-31260F4340A6 4 0.6159 0.7456 0.172 0.000 0.152 0.676
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 4 0.4817 0.6386 0.388 0.000 0.000 0.612
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 4 0.4746 0.6303 0.056 0.000 0.168 0.776
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.0469 0.8644 0.988 0.000 0.000 0.012
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 4 0.4961 0.5054 0.448 0.000 0.000 0.552
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 4 0.3907 0.8175 0.232 0.000 0.000 0.768
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#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 3 0.0188 0.8855 0.000 0.000 0.996 0.004
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 4 0.4107 0.7845 0.176 0.016 0.004 0.804
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 3 0.1975 0.8708 0.000 0.016 0.936 0.048
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 4 0.4564 0.7153 0.328 0.000 0.000 0.672
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 2 0.3763 0.8175 0.000 0.832 0.144 0.024
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 2 0.5149 0.4944 0.336 0.648 0.000 0.016
#> 14003AA2-81B6-4143-98AD-124903BAE56B 4 0.3688 0.8257 0.208 0.000 0.000 0.792
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.2413 0.8047 0.916 0.064 0.000 0.020
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.1411 0.8729 0.020 0.960 0.000 0.020
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.1706 0.8680 0.036 0.948 0.000 0.016
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.3636 0.8506 0.000 0.820 0.008 0.172
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 4 0.5066 0.4955 0.000 0.120 0.112 0.768
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 4 0.6058 0.3056 0.000 0.060 0.336 0.604
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.2216 0.8230 0.908 0.000 0.000 0.092
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0469 0.8644 0.988 0.000 0.000 0.012
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 3 0.3166 0.8454 0.000 0.016 0.868 0.116
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> 420503AA-3799-4816-BEEC-0B4D05988D38 3 0.7153 0.3421 0.000 0.308 0.532 0.160
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0707 0.8646 0.980 0.000 0.000 0.020
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0672 0.8534 0.984 0.008 0.000 0.008
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.2704 0.8700 0.000 0.876 0.000 0.124
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.1211 0.8581 0.960 0.000 0.000 0.040
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.4222 0.5396 0.728 0.000 0.000 0.272
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 3 0.6084 0.6845 0.000 0.120 0.676 0.204
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 2 0.2840 0.8568 0.044 0.900 0.000 0.056
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 3 0.3219 0.8433 0.000 0.020 0.868 0.112
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.1474 0.8845 0.000 0.948 0.000 0.052
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0469 0.8804 0.000 0.988 0.000 0.012
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.4643 0.3035 0.656 0.000 0.000 0.344
#> B232056E-59B2-4D05-983D-8740D6994A71 3 0.6463 0.5904 0.000 0.196 0.644 0.160
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 3 0.2081 0.8627 0.000 0.000 0.916 0.084
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0336 0.8812 0.000 0.992 0.000 0.008
#> 000F8487-E841-4370-B958-85AB3A6D88F9 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> B822A426-98C1-4976-9FC2-16347992AD78 4 0.5051 0.7924 0.132 0.000 0.100 0.768
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0592 0.8797 0.000 0.984 0.000 0.016
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.2469 0.8066 0.892 0.000 0.000 0.108
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.1022 0.8837 0.000 0.968 0.000 0.032
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.0188 0.8855 0.000 0.000 0.996 0.004
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.3266 0.8556 0.000 0.832 0.000 0.168
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.2861 0.8303 0.096 0.888 0.000 0.016
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.3688 0.8254 0.208 0.000 0.000 0.792
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.1936 0.8711 0.028 0.940 0.000 0.032
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.1929 0.8719 0.024 0.940 0.000 0.036
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.2345 0.8808 0.000 0.900 0.000 0.100
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.1940 0.8815 0.000 0.924 0.000 0.076
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 3 0.2909 0.8534 0.000 0.020 0.888 0.092
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.6554 0.1066 0.084 0.000 0.540 0.376
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.3528 0.8465 0.000 0.808 0.000 0.192
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.5182 0.5237 0.684 0.288 0.000 0.028
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.4699 0.5843 0.676 0.000 0.004 0.320
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 4 0.6140 0.6098 0.116 0.028 0.132 0.724
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.3764 0.8241 0.216 0.000 0.000 0.784
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.4564 0.4051 0.672 0.000 0.000 0.328
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.4022 0.7566 0.836 0.096 0.000 0.068
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 4 0.3688 0.8254 0.208 0.000 0.000 0.792
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.3286 0.8055 0.876 0.044 0.000 0.080
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.5130 0.5018 0.652 0.000 0.332 0.016
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.7382 0.2879 0.144 0.520 0.328 0.008
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0592 0.8649 0.984 0.000 0.000 0.016
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 4 0.4164 0.7937 0.264 0.000 0.000 0.736
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.1209 0.8831 0.004 0.964 0.000 0.032
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.4817 0.6303 0.388 0.000 0.000 0.612
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.3074 0.8688 0.000 0.848 0.000 0.152
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0524 0.8555 0.988 0.004 0.000 0.008
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.4866 0.0930 0.596 0.000 0.000 0.404
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0707 0.8646 0.980 0.000 0.000 0.020
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.5257 0.1359 0.008 0.444 0.000 0.548
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.1118 0.8852 0.000 0.964 0.000 0.036
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.1389 0.8851 0.000 0.952 0.000 0.048
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.1792 0.8415 0.932 0.000 0.000 0.068
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.3356 0.8531 0.000 0.824 0.000 0.176
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.2101 0.7284 0.012 0.060 0.000 0.928
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.2814 0.8698 0.000 0.868 0.000 0.132
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.1174 0.8756 0.012 0.968 0.000 0.020
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.6407 0.3579 0.068 0.004 0.580 0.348
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.0564 0.8581 0.988 0.004 0.004 0.004
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.2011 0.8826 0.000 0.920 0.000 0.080
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.3791 0.8402 0.000 0.796 0.004 0.200
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.4999 0.5217 0.660 0.000 0.328 0.012
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0927 0.8776 0.008 0.976 0.000 0.016
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.1867 0.8380 0.928 0.000 0.000 0.072
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0188 0.8855 0.000 0.000 0.996 0.004
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.4977 -0.1435 0.540 0.000 0.000 0.460
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0336 0.8638 0.992 0.000 0.000 0.008
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.3942 0.8152 0.236 0.000 0.000 0.764
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.3266 0.8556 0.000 0.832 0.000 0.168
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.7345 0.4213 0.172 0.336 0.000 0.492
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.2376 0.8504 0.068 0.916 0.000 0.016
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0336 0.8638 0.992 0.000 0.000 0.008
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.0188 0.8855 0.000 0.000 0.996 0.004
#> 5663C145-B465-4509-BA9A-1A40584952BD 3 0.1807 0.8730 0.000 0.008 0.940 0.052
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.0188 0.8858 0.000 0.000 0.996 0.004
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.0188 0.8858 0.000 0.000 0.996 0.004
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.6719 0.5752 0.180 0.204 0.000 0.616
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.3764 0.8240 0.216 0.000 0.000 0.784
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.4431 0.7591 0.304 0.000 0.000 0.696
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.3942 0.8152 0.236 0.000 0.000 0.764
#> D316C207-8020-47A7-8C2D-753CF42223B5 3 0.3390 0.8359 0.000 0.016 0.852 0.132
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0672 0.8534 0.984 0.008 0.000 0.008
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.4869 0.7999 0.000 0.780 0.132 0.088
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.1867 0.8389 0.928 0.000 0.000 0.072
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.1631 0.8721 0.020 0.956 0.008 0.016
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.3485 0.8361 0.000 0.028 0.856 0.116
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0469 0.8644 0.988 0.000 0.000 0.012
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0817 0.8639 0.976 0.000 0.000 0.024
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0469 0.8644 0.988 0.000 0.000 0.012
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.1211 0.8831 0.000 0.960 0.000 0.040
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.1940 0.8347 0.924 0.000 0.000 0.076
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0336 0.8638 0.992 0.000 0.000 0.008
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.3249 0.7311 0.852 0.140 0.000 0.008
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.0937 0.8831 0.012 0.976 0.000 0.012
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.8610 1.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.1022 0.8725 0.000 0.000 0.968 0.032
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.1545 0.8315 0.952 0.040 0.000 0.008
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.4335 0.8345 0.000 0.796 0.036 0.168
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.3873 0.8197 0.228 0.000 0.000 0.772
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.1297 0.8739 0.020 0.964 0.000 0.016
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.3356 0.8531 0.000 0.824 0.000 0.176
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 3 0.4908 0.6949 0.000 0.016 0.692 0.292
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 3 0.7479 0.2438 0.000 0.324 0.480 0.196
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.8864 0.000 0.000 1.000 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.3688 0.8254 0.208 0.000 0.000 0.792
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.1970 0.8157 0.932 0.060 0.000 0.008
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.3837 0.8212 0.224 0.000 0.000 0.776
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.6492 0.6296 0.000 0.636 0.220 0.144
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.4697 0.5670 0.696 0.000 0.296 0.008
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.2589 0.8746 0.000 0.884 0.000 0.116
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.3688 0.8257 0.208 0.000 0.000 0.792
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.3649 0.8257 0.204 0.000 0.000 0.796
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.2973 0.8644 0.000 0.856 0.000 0.144
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0566 0.8779 0.004 0.984 0.000 0.000 0.012
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.5762 0.1904 0.048 0.000 0.528 0.404 0.020
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.3849 0.6646 0.000 0.016 0.232 0.000 0.752
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.1549 0.8769 0.944 0.000 0.000 0.016 0.040
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.3607 0.6810 0.752 0.000 0.000 0.244 0.004
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.5626 0.1267 0.448 0.000 0.036 0.496 0.020
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.7829 0.3646 0.204 0.000 0.248 0.448 0.100
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.6707 0.1960 0.320 0.000 0.472 0.008 0.200
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.3690 0.6814 0.000 0.224 0.000 0.012 0.764
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 4 0.3862 0.8036 0.104 0.000 0.000 0.808 0.088
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0880 0.8816 0.000 0.968 0.000 0.000 0.032
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.3577 0.7636 0.000 0.004 0.084 0.836 0.076
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.3759 0.8030 0.000 0.828 0.084 0.008 0.080
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.2036 0.8466 0.056 0.000 0.000 0.920 0.024
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.1836 0.8661 0.936 0.040 0.000 0.016 0.008
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 4 0.5958 0.5800 0.208 0.000 0.000 0.592 0.200
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.2694 0.8214 0.076 0.004 0.000 0.888 0.032
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.3783 0.6537 0.000 0.252 0.000 0.008 0.740
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.4201 0.8155 0.824 0.008 0.060 0.072 0.036
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0671 0.8832 0.980 0.000 0.000 0.004 0.016
#> 82341457-7386-4C56-9DAF-A8F020055685 4 0.4811 0.6469 0.000 0.008 0.184 0.732 0.076
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.0451 0.8825 0.988 0.004 0.000 0.000 0.008
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#> 000F8487-E841-4370-B958-85AB3A6D88F9 3 0.0000 0.8619 0.000 0.000 1.000 0.000 0.000
#> B822A426-98C1-4976-9FC2-16347992AD78 4 0.1740 0.8371 0.012 0.000 0.056 0.932 0.000
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0162 0.8823 0.000 0.996 0.000 0.000 0.004
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.1952 0.8522 0.912 0.000 0.000 0.084 0.004
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0880 0.8832 0.000 0.968 0.000 0.000 0.032
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.1012 0.8472 0.000 0.000 0.968 0.012 0.020
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 5 0.4047 0.5542 0.000 0.320 0.000 0.004 0.676
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.0000 0.8619 0.000 0.000 1.000 0.000 0.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.4283 0.4209 0.348 0.644 0.000 0.000 0.008
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.1915 0.8484 0.032 0.000 0.000 0.928 0.040
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.1377 0.8726 0.004 0.956 0.000 0.020 0.020
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.1442 0.8688 0.004 0.952 0.000 0.032 0.012
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.1478 0.8724 0.000 0.936 0.000 0.000 0.064
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.4040 0.6247 0.016 0.724 0.000 0.000 0.260
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 5 0.3837 0.5762 0.000 0.000 0.308 0.000 0.692
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.4066 0.4760 0.004 0.000 0.672 0.324 0.000
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 5 0.4306 0.5312 0.000 0.328 0.000 0.012 0.660
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 2 0.2110 0.8261 0.072 0.912 0.000 0.000 0.016
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 5 0.3427 0.6710 0.112 0.000 0.012 0.032 0.844
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 5 0.4647 0.5489 0.028 0.000 0.016 0.240 0.716
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.0865 0.8484 0.024 0.000 0.000 0.972 0.004
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.4817 0.2797 0.572 0.000 0.000 0.404 0.024
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.3399 0.7795 0.812 0.012 0.000 0.004 0.172
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 4 0.2793 0.8355 0.036 0.000 0.000 0.876 0.088
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.6164 0.4766 0.596 0.156 0.000 0.236 0.012
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.4245 0.6630 0.736 0.000 0.236 0.008 0.020
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.3371 0.7793 0.040 0.848 0.104 0.000 0.008
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0671 0.8832 0.980 0.000 0.000 0.004 0.016
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 4 0.2536 0.8097 0.128 0.000 0.000 0.868 0.004
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0880 0.8817 0.000 0.968 0.000 0.000 0.032
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.2890 0.7849 0.160 0.000 0.000 0.836 0.004
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.3460 0.8064 0.000 0.828 0.000 0.044 0.128
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0451 0.8816 0.988 0.004 0.000 0.000 0.008
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 5 0.5296 -0.0784 0.468 0.000 0.000 0.048 0.484
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0566 0.8828 0.984 0.000 0.000 0.012 0.004
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.5423 0.3089 0.000 0.548 0.000 0.388 0.064
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.0963 0.8805 0.000 0.964 0.000 0.000 0.036
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.1408 0.8769 0.000 0.948 0.000 0.008 0.044
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.2067 0.8689 0.920 0.000 0.000 0.032 0.048
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.3143 0.7050 0.000 0.204 0.000 0.000 0.796
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.0955 0.8423 0.004 0.000 0.000 0.968 0.028
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.3774 0.5688 0.000 0.704 0.000 0.000 0.296
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.8619 0.000 0.000 1.000 0.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.2605 0.7745 0.000 0.852 0.000 0.000 0.148
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 4 0.6913 0.2901 0.032 0.000 0.160 0.500 0.308
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.2933 0.8532 0.892 0.052 0.012 0.032 0.012
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.2344 0.8644 0.000 0.904 0.000 0.032 0.064
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 5 0.1965 0.7473 0.000 0.096 0.000 0.000 0.904
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.4218 0.5170 0.660 0.000 0.332 0.008 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0162 0.8823 0.000 0.996 0.000 0.000 0.004
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.1043 0.8788 0.960 0.000 0.000 0.040 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0609 0.8530 0.000 0.000 0.980 0.000 0.020
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.5153 0.1251 0.524 0.000 0.000 0.436 0.040
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0404 0.8832 0.988 0.000 0.000 0.000 0.012
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.1357 0.8484 0.048 0.000 0.000 0.948 0.004
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.3109 0.7086 0.000 0.200 0.000 0.000 0.800
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.4194 0.7629 0.088 0.000 0.000 0.780 0.132
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.1697 0.8435 0.060 0.932 0.000 0.000 0.008
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0854 0.8794 0.976 0.012 0.000 0.004 0.008
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.0609 0.8530 0.000 0.000 0.980 0.000 0.020
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.3857 0.5794 0.000 0.000 0.312 0.000 0.688
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.0404 0.8558 0.000 0.000 0.988 0.000 0.012
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.2329 0.7565 0.000 0.000 0.876 0.000 0.124
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.8619 0.000 0.000 1.000 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 2 0.4522 0.5413 0.000 0.660 0.000 0.316 0.024
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.0794 0.8496 0.028 0.000 0.000 0.972 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.3276 0.8166 0.132 0.000 0.000 0.836 0.032
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.1430 0.8473 0.052 0.000 0.000 0.944 0.004
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.3109 0.6817 0.000 0.000 0.200 0.000 0.800
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0451 0.8816 0.988 0.004 0.000 0.000 0.008
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.6113 0.4867 0.000 0.332 0.144 0.000 0.524
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.1908 0.8541 0.908 0.000 0.000 0.092 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0451 0.8781 0.004 0.988 0.000 0.000 0.008
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.4088 0.5808 0.000 0.000 0.304 0.008 0.688
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0613 0.8814 0.984 0.004 0.000 0.004 0.008
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.1168 0.8799 0.960 0.000 0.000 0.008 0.032
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.8619 0.000 0.000 1.000 0.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0880 0.8805 0.968 0.000 0.000 0.000 0.032
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.1410 0.8722 0.000 0.940 0.000 0.000 0.060
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.1741 0.8748 0.936 0.000 0.000 0.024 0.040
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.8619 0.000 0.000 1.000 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0880 0.8805 0.968 0.000 0.000 0.000 0.032
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.3123 0.7584 0.828 0.160 0.000 0.000 0.012
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.1408 0.8808 0.000 0.948 0.000 0.008 0.044
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0404 0.8832 0.988 0.000 0.000 0.000 0.012
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.2020 0.7729 0.000 0.000 0.900 0.100 0.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.8619 0.000 0.000 1.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0451 0.8820 0.988 0.008 0.000 0.000 0.004
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.3169 0.7471 0.000 0.140 0.016 0.004 0.840
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.5382 0.4112 0.068 0.000 0.000 0.580 0.352
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0162 0.8803 0.000 0.996 0.000 0.000 0.004
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.2561 0.7417 0.000 0.144 0.000 0.000 0.856
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.2068 0.7256 0.000 0.000 0.092 0.004 0.904
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.2536 0.7446 0.000 0.044 0.052 0.004 0.900
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.8619 0.000 0.000 1.000 0.000 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0771 0.8490 0.020 0.000 0.000 0.976 0.004
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.1914 0.8556 0.928 0.056 0.000 0.008 0.008
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.2853 0.8408 0.072 0.000 0.000 0.876 0.052
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.8528 0.2759 0.000 0.196 0.272 0.228 0.304
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.3219 0.8042 0.840 0.000 0.136 0.020 0.004
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.1952 0.8556 0.000 0.912 0.000 0.004 0.084
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.3169 0.8296 0.060 0.000 0.000 0.856 0.084
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0671 0.8482 0.016 0.000 0.000 0.980 0.004
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 5 0.2966 0.7152 0.000 0.184 0.000 0.000 0.816
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.1010 0.8733 0.000 0.960 0.000 0.000 0.004 0.036
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.6124 0.2280 0.004 0.008 0.224 0.524 0.004 0.236
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.3784 0.7357 0.000 0.036 0.048 0.000 0.808 0.108
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.3346 0.7526 0.816 0.000 0.000 0.036 0.008 0.140
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.3888 0.4809 0.312 0.000 0.000 0.672 0.000 0.016
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.5007 0.5467 0.092 0.000 0.036 0.696 0.000 0.176
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 4 0.6407 0.3561 0.032 0.000 0.056 0.572 0.084 0.256
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.7869 -0.1423 0.156 0.000 0.280 0.012 0.272 0.280
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 5 0.5034 0.6041 0.000 0.240 0.000 0.000 0.628 0.132
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 6 0.5500 0.2083 0.088 0.000 0.000 0.440 0.012 0.460
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0717 0.8792 0.000 0.976 0.000 0.000 0.008 0.016
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 6 0.5094 0.5313 0.000 0.004 0.092 0.308 0.000 0.596
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.3763 0.7862 0.000 0.812 0.044 0.000 0.044 0.100
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.3414 0.6246 0.040 0.000 0.008 0.812 0.000 0.140
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.1476 0.8090 0.948 0.028 0.000 0.012 0.004 0.008
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 6 0.6961 0.0814 0.220 0.020 0.000 0.304 0.032 0.424
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 6 0.3817 0.4394 0.000 0.000 0.000 0.432 0.000 0.568
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.4575 0.6794 0.000 0.124 0.000 0.000 0.696 0.180
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.6405 0.3772 0.552 0.008 0.024 0.300 0.060 0.056
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.1720 0.8098 0.928 0.000 0.000 0.032 0.000 0.040
#> 82341457-7386-4C56-9DAF-A8F020055685 4 0.7509 -0.0399 0.000 0.044 0.088 0.412 0.128 0.328
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.0767 0.8183 0.976 0.008 0.000 0.012 0.000 0.004
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.4358 0.6313 0.000 0.000 0.712 0.092 0.000 0.196
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.1564 0.6655 0.024 0.000 0.000 0.936 0.000 0.040
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.0935 0.7571 0.000 0.032 0.000 0.000 0.964 0.004
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.2501 0.7739 0.872 0.000 0.000 0.016 0.004 0.108
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 6 0.4796 0.5015 0.028 0.064 0.000 0.124 0.032 0.752
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 6 0.5419 0.5201 0.000 0.000 0.220 0.200 0.000 0.580
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.4792 0.1936 0.536 0.000 0.000 0.416 0.004 0.044
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.3735 0.6978 0.000 0.748 0.000 0.008 0.020 0.224
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.6968 0.1199 0.084 0.000 0.000 0.428 0.296 0.192
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.2778 0.5650 0.008 0.000 0.000 0.824 0.000 0.168
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.2883 0.4900 0.000 0.000 0.000 0.788 0.000 0.212
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.4486 0.5470 0.048 0.000 0.032 0.728 0.000 0.192
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.2213 0.7828 0.888 0.000 0.000 0.008 0.004 0.100
#> 2A08011A-E15E-4754-B560-4637EF3A446B 5 0.7330 0.3674 0.064 0.000 0.196 0.024 0.408 0.308
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.4709 0.5786 0.140 0.016 0.000 0.732 0.008 0.104
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 4 0.4386 0.5335 0.092 0.000 0.000 0.708 0.000 0.200
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.2358 0.6241 0.016 0.000 0.000 0.876 0.000 0.108
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.1411 0.6498 0.004 0.000 0.000 0.936 0.000 0.060
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0914 0.8805 0.000 0.968 0.000 0.000 0.016 0.016
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0405 0.8791 0.000 0.988 0.000 0.000 0.004 0.008
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.3075 0.7643 0.844 0.000 0.000 0.040 0.008 0.108
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#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.2762 0.7352 0.000 0.000 0.804 0.000 0.000 0.196
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 5 0.3802 0.6697 0.000 0.208 0.000 0.000 0.748 0.044
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.0000 0.8279 0.000 0.000 1.000 0.000 0.000 0.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.4763 0.2202 0.412 0.536 0.000 0.000 0.000 0.052
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.1701 0.6494 0.008 0.000 0.000 0.920 0.000 0.072
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.1674 0.8641 0.000 0.924 0.000 0.004 0.004 0.068
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.1812 0.8656 0.004 0.924 0.000 0.008 0.004 0.060
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.1088 0.8741 0.000 0.960 0.000 0.000 0.024 0.016
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.4595 0.7478 0.100 0.752 0.000 0.000 0.096 0.052
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 5 0.4354 0.6798 0.000 0.000 0.132 0.000 0.724 0.144
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 4 0.4028 0.3484 0.000 0.000 0.308 0.668 0.000 0.024
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 5 0.5701 0.5417 0.000 0.228 0.000 0.000 0.524 0.248
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 2 0.1873 0.8599 0.048 0.924 0.000 0.000 0.008 0.020
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 5 0.0508 0.7491 0.000 0.000 0.000 0.012 0.984 0.004
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 5 0.5753 0.3630 0.000 0.000 0.000 0.236 0.512 0.252
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.1686 0.6504 0.012 0.000 0.000 0.924 0.000 0.064
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 4 0.5135 0.4824 0.144 0.000 0.004 0.636 0.000 0.216
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.3023 0.7173 0.808 0.000 0.000 0.004 0.180 0.008
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 6 0.4412 0.2011 0.012 0.000 0.000 0.480 0.008 0.500
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.5815 0.4561 0.608 0.164 0.000 0.040 0.000 0.188
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.8772 -0.1673 0.280 0.004 0.100 0.256 0.156 0.204
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.3627 0.7944 0.024 0.824 0.096 0.000 0.004 0.052
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0520 0.8162 0.984 0.000 0.000 0.008 0.000 0.008
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 4 0.2046 0.6727 0.060 0.000 0.000 0.908 0.000 0.032
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0508 0.8789 0.000 0.984 0.000 0.000 0.012 0.004
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.3867 0.5519 0.128 0.000 0.000 0.780 0.004 0.088
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.4454 0.6598 0.000 0.704 0.000 0.016 0.048 0.232
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0748 0.8142 0.976 0.004 0.000 0.016 0.000 0.004
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 5 0.5200 0.3493 0.304 0.000 0.000 0.104 0.588 0.004
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0777 0.8143 0.972 0.000 0.000 0.024 0.000 0.004
#> FAA38111-F046-4ACD-B787-764A17EAF548 6 0.4653 0.1769 0.000 0.360 0.000 0.052 0.000 0.588
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.1442 0.8757 0.004 0.944 0.000 0.000 0.012 0.040
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0806 0.8767 0.000 0.972 0.000 0.000 0.020 0.008
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.4998 0.5940 0.676 0.000 0.000 0.112 0.016 0.196
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.2412 0.7472 0.000 0.092 0.000 0.000 0.880 0.028
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.3053 0.5320 0.000 0.000 0.000 0.812 0.020 0.168
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.2762 0.7266 0.000 0.804 0.000 0.000 0.196 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.8279 0.000 0.000 1.000 0.000 0.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.3834 0.7443 0.000 0.776 0.012 0.000 0.168 0.044
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 4 0.7054 0.0522 0.004 0.000 0.092 0.408 0.156 0.340
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.6022 0.5073 0.600 0.008 0.000 0.172 0.184 0.036
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.1588 0.8669 0.000 0.924 0.000 0.000 0.004 0.072
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 5 0.1528 0.7591 0.000 0.016 0.000 0.000 0.936 0.048
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.5471 0.3024 0.268 0.000 0.560 0.172 0.000 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0806 0.8799 0.000 0.972 0.000 0.000 0.008 0.020
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.3468 0.5711 0.712 0.000 0.000 0.284 0.000 0.004
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.1814 0.7884 0.000 0.000 0.900 0.000 0.000 0.100
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 4 0.4971 0.3440 0.300 0.000 0.000 0.604 0.000 0.096
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0508 0.8160 0.984 0.000 0.000 0.004 0.000 0.012
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.1930 0.6689 0.036 0.000 0.000 0.916 0.000 0.048
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.1765 0.7472 0.000 0.096 0.000 0.000 0.904 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.4632 0.6009 0.112 0.000 0.000 0.748 0.052 0.088
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.2000 0.8586 0.032 0.916 0.000 0.000 0.004 0.048
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.1624 0.8048 0.936 0.012 0.000 0.044 0.000 0.008
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.3912 0.6800 0.004 0.000 0.748 0.044 0.000 0.204
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.3756 0.3489 0.000 0.000 0.400 0.000 0.600 0.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.0777 0.8173 0.000 0.000 0.972 0.000 0.024 0.004
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.2945 0.7174 0.000 0.000 0.824 0.000 0.156 0.020
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.8279 0.000 0.000 1.000 0.000 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 2 0.2587 0.8319 0.000 0.868 0.000 0.020 0.004 0.108
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.1367 0.6601 0.012 0.000 0.000 0.944 0.000 0.044
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.4732 0.5108 0.148 0.000 0.000 0.680 0.000 0.172
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.1408 0.6711 0.020 0.000 0.000 0.944 0.000 0.036
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.2053 0.7283 0.000 0.000 0.108 0.000 0.888 0.004
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0665 0.8152 0.980 0.004 0.000 0.008 0.000 0.008
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 5 0.4760 0.4967 0.000 0.336 0.036 0.000 0.612 0.016
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.3991 0.1157 0.472 0.000 0.000 0.524 0.000 0.004
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.1152 0.8715 0.000 0.952 0.000 0.000 0.004 0.044
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.3158 0.7434 0.000 0.008 0.064 0.000 0.844 0.084
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0767 0.8150 0.976 0.004 0.000 0.012 0.000 0.008
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.2474 0.7868 0.880 0.000 0.000 0.040 0.000 0.080
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.8279 0.000 0.000 1.000 0.000 0.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.1806 0.7905 0.908 0.000 0.000 0.004 0.000 0.088
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.1168 0.8789 0.000 0.956 0.000 0.000 0.028 0.016
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.1850 0.8075 0.924 0.000 0.000 0.016 0.008 0.052
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.8279 0.000 0.000 1.000 0.000 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.1788 0.7952 0.916 0.000 0.000 0.004 0.004 0.076
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.2795 0.7436 0.856 0.100 0.000 0.000 0.000 0.044
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.3157 0.8071 0.004 0.832 0.000 0.012 0.016 0.136
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0790 0.8125 0.968 0.000 0.000 0.000 0.000 0.032
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.3003 0.6565 0.000 0.000 0.812 0.172 0.000 0.016
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.8279 0.000 0.000 1.000 0.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0458 0.8155 0.984 0.000 0.000 0.000 0.000 0.016
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.2129 0.7566 0.000 0.056 0.000 0.000 0.904 0.040
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.4795 0.5015 0.056 0.000 0.000 0.704 0.200 0.040
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0405 0.8798 0.000 0.988 0.000 0.000 0.004 0.008
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.0508 0.7539 0.000 0.012 0.000 0.000 0.984 0.004
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.3953 0.6401 0.000 0.000 0.104 0.000 0.764 0.132
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.0405 0.7514 0.000 0.004 0.000 0.000 0.988 0.008
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.2501 0.7749 0.000 0.000 0.872 0.016 0.004 0.108
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.1970 0.6280 0.008 0.000 0.000 0.900 0.000 0.092
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.2564 0.7915 0.896 0.032 0.000 0.028 0.004 0.040
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.4065 0.2883 0.028 0.000 0.000 0.672 0.000 0.300
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 5 0.8514 0.3100 0.000 0.256 0.136 0.092 0.316 0.200
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.6280 0.3952 0.220 0.000 0.056 0.552 0.000 0.172
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.1088 0.8740 0.000 0.960 0.000 0.000 0.024 0.016
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 4 0.3938 0.4187 0.016 0.000 0.000 0.660 0.000 0.324
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.2520 0.5759 0.004 0.000 0.000 0.844 0.000 0.152
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 5 0.2003 0.7469 0.000 0.044 0.000 0.000 0.912 0.044
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
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 17416 rows and 433 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 0.201 0.725 0.845 0.4463 0.531 0.531
#> 3 3 0.217 0.462 0.727 0.3451 0.846 0.712
#> 4 4 0.309 0.484 0.702 0.1346 0.822 0.582
#> 5 5 0.396 0.486 0.662 0.0773 0.909 0.701
#> 6 6 0.484 0.464 0.662 0.0600 0.938 0.755
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.5294 0.8390 0.120 0.880
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.5408 0.8365 0.124 0.876
#> B5567E00-32AA-48D8-8087-1088C22B0994 1 0.0376 0.7959 0.996 0.004
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0376 0.7998 0.996 0.004
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.8661 0.6472 0.712 0.288
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.8861 0.6269 0.696 0.304
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.2236 0.8114 0.964 0.036
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 1 0.6247 0.7778 0.844 0.156
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#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.4431 0.8089 0.908 0.092
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#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.9044 0.6094 0.320 0.680
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.1633 0.8084 0.976 0.024
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.2236 0.8110 0.964 0.036
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 2 0.2948 0.8319 0.052 0.948
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 1 0.1184 0.8032 0.984 0.016
#> 73D9833A-5E24-47D9-B193-22A66A282669 2 0.8608 0.6945 0.284 0.716
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.7299 0.7891 0.204 0.796
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 2 0.3879 0.8379 0.076 0.924
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.5059 0.8021 0.888 0.112
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.3114 0.8383 0.056 0.944
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0000 0.8209 0.000 1.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0000 0.8209 0.000 1.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.8386 0.7008 0.268 0.732
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 2 0.2043 0.8342 0.032 0.968
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 2 0.3114 0.8332 0.056 0.944
#> 56943BD9-EEDA-457A-9F18-ACC397978668 2 0.9998 -0.0180 0.492 0.508
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 2 0.4431 0.8242 0.092 0.908
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.3114 0.8383 0.056 0.944
#> C958FCED-BB40-4823-B839-6A31C6988A32 2 0.1843 0.8318 0.028 0.972
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.3431 0.8395 0.064 0.936
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 2 0.6531 0.7953 0.168 0.832
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.4690 0.8406 0.100 0.900
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.4161 0.8387 0.084 0.916
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 2 0.3274 0.8411 0.060 0.940
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.7973 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.4939 0.8343 0.108 0.892
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.3431 0.8123 0.936 0.064
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 1 0.4939 0.8012 0.892 0.108
#> 57373041-9D22-4DB1-AA56-97733339391B 2 0.8813 0.5908 0.300 0.700
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.9170 0.5848 0.332 0.668
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.7973 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 2 0.0672 0.8240 0.008 0.992
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.4298 0.8084 0.912 0.088
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.2236 0.8110 0.964 0.036
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.7602 0.7705 0.220 0.780
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.8386 0.7008 0.268 0.732
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.7674 0.7217 0.776 0.224
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.3431 0.8395 0.064 0.936
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 2 0.0672 0.8240 0.008 0.992
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.6531 0.8131 0.168 0.832
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 1 0.5059 0.7982 0.888 0.112
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 1 0.9754 0.3662 0.592 0.408
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.3114 0.8383 0.056 0.944
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 1 0.5059 0.8021 0.888 0.112
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 2 0.4298 0.8268 0.088 0.912
#> 002A3E61-7200-4B45-9704-6A9360233390 2 0.0672 0.8240 0.008 0.992
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 2 0.7745 0.7180 0.228 0.772
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.4562 0.8417 0.096 0.904
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.9710 0.4072 0.600 0.400
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 1 0.4562 0.8063 0.904 0.096
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.5408 0.7960 0.876 0.124
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 2 0.0938 0.8253 0.012 0.988
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 1 0.9323 0.5216 0.652 0.348
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.6264 0.47344 0.032 0.724 0.244
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.6673 0.50334 0.068 0.732 0.200
#> B5567E00-32AA-48D8-8087-1088C22B0994 1 0.4702 0.69762 0.788 0.000 0.212
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.1267 0.73697 0.972 0.004 0.024
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.7157 0.59956 0.668 0.276 0.056
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.7453 0.58076 0.644 0.292 0.064
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.4256 0.74751 0.868 0.036 0.096
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 1 0.7059 0.68731 0.716 0.092 0.192
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.7841 -0.21750 0.052 0.480 0.468
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.3445 0.74302 0.896 0.088 0.016
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 3 0.9827 0.13746 0.244 0.376 0.380
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.0892 0.59531 0.000 0.980 0.020
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 3 0.6309 0.23956 0.000 0.500 0.500
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 2 0.6673 0.50334 0.068 0.732 0.200
#> C8041089-E148-4B33-BBB7-9298B81A8832 2 0.0424 0.59951 0.000 0.992 0.008
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.2636 0.74635 0.932 0.020 0.048
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 2 0.0592 0.59817 0.000 0.988 0.012
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 1 0.5202 0.70218 0.772 0.008 0.220
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 2 0.4483 0.57836 0.024 0.848 0.128
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.5115 0.69749 0.796 0.188 0.016
#> 82341457-7386-4C56-9DAF-A8F020055685 1 0.9919 -0.00464 0.372 0.356 0.272
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.8749 0.50869 0.572 0.276 0.152
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.7786 0.27647 0.068 0.600 0.332
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 2 0.2599 0.58988 0.052 0.932 0.016
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.6518 -0.20851 0.004 0.512 0.484
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.1163 0.73403 0.972 0.000 0.028
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.1860 0.73338 0.948 0.000 0.052
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.0892 0.59531 0.000 0.980 0.020
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.8738 0.43989 0.544 0.128 0.328
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.9840 0.05202 0.320 0.416 0.264
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.7256 0.65328 0.696 0.216 0.088
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 2 0.3846 0.56039 0.108 0.876 0.016
#> 4AAD7B53-9AA9-404B-8888-13160458E476 2 0.0237 0.60044 0.000 0.996 0.004
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 2 0.6765 0.49566 0.068 0.724 0.208
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.1289 0.73415 0.968 0.000 0.032
#> 2A08011A-E15E-4754-B560-4637EF3A446B 1 0.4235 0.71058 0.824 0.000 0.176
#> 333F9855-9462-46B8-87C8-E9B01572C101 2 0.8985 0.30923 0.220 0.564 0.216
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.4469 0.73510 0.852 0.120 0.028
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 2 0.4782 0.52377 0.164 0.820 0.016
#> 4571A92E-A240-4A6D-BC50-8971BD299287 2 0.2947 0.58576 0.060 0.920 0.020
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 3 0.8938 0.20857 0.124 0.432 0.444
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.8066 0.03494 0.068 0.528 0.404
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.2229 0.74734 0.944 0.044 0.012
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 2 0.1337 0.60147 0.012 0.972 0.016
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.1031 0.73453 0.976 0.000 0.024
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 2 0.0475 0.60228 0.004 0.992 0.004
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.7683 0.29027 0.064 0.608 0.328
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 1 0.9901 -0.04163 0.384 0.268 0.348
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 1 0.8590 0.47843 0.560 0.120 0.320
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.3445 0.74302 0.896 0.088 0.016
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.9417 -0.06811 0.176 0.440 0.384
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.7839 0.38512 0.560 0.380 0.060
#> 16463364-F250-4D42-B5C6-309333E40B83 3 0.9877 0.18197 0.352 0.260 0.388
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 3 0.9189 0.40989 0.164 0.336 0.500
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.5497 0.58187 0.064 0.124 0.812
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.6247 0.50573 0.044 0.744 0.212
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.3590 0.74542 0.896 0.076 0.028
#> B0245553-F100-4235-BFC2-AB908C42E401 2 0.4483 0.54924 0.128 0.848 0.024
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.1031 0.60203 0.000 0.976 0.024
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 3 0.9992 0.18633 0.328 0.320 0.352
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.8535 0.42445 0.096 0.404 0.500
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.1620 0.74575 0.964 0.024 0.012
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.6307 -0.19216 0.000 0.512 0.488
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.6274 -0.13796 0.000 0.544 0.456
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 3 0.9984 0.19513 0.328 0.312 0.360
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.6018 0.59580 0.008 0.308 0.684
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.6211 0.49390 0.036 0.736 0.228
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.8547 0.49786 0.104 0.364 0.532
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.9398 0.12622 0.428 0.400 0.172
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 2 0.0892 0.59531 0.000 0.980 0.020
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 3 0.9939 0.22065 0.300 0.312 0.388
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.8535 0.42445 0.096 0.404 0.500
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 2 0.6012 0.43298 0.032 0.748 0.220
#> B945DBB3-D95A-463A-918D-057F55D29418 2 0.3325 0.57953 0.076 0.904 0.020
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.7945 0.12285 0.064 0.548 0.388
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.6933 0.44024 0.208 0.076 0.716
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.9258 0.21159 0.204 0.524 0.272
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.9817 0.17353 0.428 0.300 0.272
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 2 0.0237 0.60044 0.000 0.996 0.004
#> 9747FD2F-D078-45CA-9D16-58D52A287323 2 0.0592 0.59817 0.000 0.988 0.012
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.9411 0.18640 0.288 0.500 0.212
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.7484 -0.16576 0.036 0.504 0.460
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 2 0.1950 0.60323 0.008 0.952 0.040
#> A8AE6F61-125B-4103-9F45-3F4C86234826 2 0.0848 0.60162 0.008 0.984 0.008
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.6018 0.59580 0.008 0.308 0.684
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 2 0.0592 0.60171 0.012 0.988 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.7128 0.56665 0.036 0.344 0.620
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 2 0.2063 0.60323 0.008 0.948 0.044
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.8614 0.21291 0.484 0.416 0.100
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 2 0.6361 0.44345 0.232 0.728 0.040
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 3 0.8342 0.22330 0.080 0.460 0.460
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 1 0.5060 0.74637 0.836 0.064 0.100
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 2 0.6044 0.53878 0.056 0.772 0.172
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.7885 0.60609 0.660 0.128 0.212
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.6247 0.67155 0.744 0.212 0.044
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 2 0.0237 0.60044 0.000 0.996 0.004
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.1031 0.73453 0.976 0.000 0.024
#> 7465251E-7BC8-4179-8950-4E41836CF36B 1 0.5024 0.69816 0.776 0.004 0.220
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.3091 0.74566 0.912 0.072 0.016
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 3 0.9566 0.19164 0.196 0.380 0.424
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 2 0.0592 0.59817 0.000 0.988 0.012
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.9602 0.10331 0.320 0.460 0.220
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.4209 0.58888 0.016 0.128 0.856
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 3 0.8637 0.33259 0.100 0.444 0.456
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.7138 0.37166 0.044 0.644 0.312
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 2 0.1525 0.60041 0.004 0.964 0.032
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.5958 0.60019 0.008 0.300 0.692
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 1 0.4256 0.74751 0.868 0.036 0.096
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.2176 0.74700 0.948 0.020 0.032
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.2229 0.74734 0.944 0.044 0.012
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.7279 0.60116 0.056 0.292 0.652
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.7228 0.45240 0.600 0.364 0.036
#> B54317C9-8704-42A6-BE96-E12855874596 3 0.9189 0.32169 0.148 0.416 0.436
#> 759B6273-634D-4145-AA95-452D628BF100 2 0.4290 0.59669 0.064 0.872 0.064
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.7940 0.27467 0.076 0.592 0.332
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 2 0.3370 0.59542 0.072 0.904 0.024
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 2 0.6495 0.50895 0.060 0.740 0.200
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 2 0.5318 0.47540 0.204 0.780 0.016
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.5223 0.54408 0.024 0.800 0.176
#> A6177818-114B-437B-9928-A6747A788109 2 0.3337 0.60376 0.060 0.908 0.032
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#> A3150223-5399-4CC6-90A7-6046F39FAC3E 2 0.9717 -0.12828 0.220 0.396 0.384
#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 2 0.6798 0.15282 0.400 0.584 0.016
#> 99D8A9E2-773C-4142-9A93-5F749961F712 2 0.3695 0.56714 0.108 0.880 0.012
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 3 0.8720 0.56005 0.164 0.252 0.584
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 1 0.1753 0.73318 0.952 0.000 0.048
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 1 0.4235 0.71058 0.824 0.000 0.176
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 1 0.5008 0.70423 0.804 0.180 0.016
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 3 0.6521 0.24405 0.004 0.496 0.500
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 1 0.8890 0.41299 0.532 0.328 0.140
#> 14003AA2-81B6-4143-98AD-124903BAE56B 2 0.2599 0.58988 0.052 0.932 0.016
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 2 0.0237 0.60210 0.004 0.996 0.000
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.9647 -0.04090 0.212 0.428 0.360
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.9258 0.21159 0.204 0.524 0.272
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.6518 -0.20851 0.004 0.512 0.484
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 1 0.4682 0.70935 0.804 0.004 0.192
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 2 0.6796 0.47953 0.056 0.708 0.236
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 2 0.7002 0.38640 0.280 0.672 0.048
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.1289 0.73415 0.968 0.000 0.032
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 1 0.4702 0.69762 0.788 0.000 0.212
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.5873 0.56672 0.004 0.312 0.684
#> 420503AA-3799-4816-BEEC-0B4D05988D38 1 0.5024 0.69816 0.776 0.004 0.220
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.6519 0.70547 0.760 0.132 0.108
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.1751 0.74611 0.960 0.028 0.012
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 1 0.6730 0.64990 0.680 0.036 0.284
#> E1F863F8-90F0-402C-8433-95F522DDCE63 2 0.4475 0.53890 0.144 0.840 0.016
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.6798 0.41099 0.584 0.400 0.016
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 1 0.6565 0.68354 0.720 0.048 0.232
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 2 0.6897 0.45551 0.220 0.712 0.068
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.6307 -0.22066 0.000 0.512 0.488
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.7652 -0.07271 0.044 0.512 0.444
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.9717 -0.12828 0.220 0.396 0.384
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.2636 0.74635 0.932 0.020 0.048
#> B232056E-59B2-4D05-983D-8740D6994A71 1 0.5024 0.69816 0.776 0.004 0.220
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.6305 -0.21400 0.000 0.516 0.484
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.8501 -0.04376 0.092 0.488 0.420
#> 000F8487-E841-4370-B958-85AB3A6D88F9 2 0.6307 -0.23121 0.000 0.512 0.488
#> B822A426-98C1-4976-9FC2-16347992AD78 2 0.8280 -0.01295 0.080 0.516 0.404
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.8179 0.21951 0.084 0.564 0.352
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.3989 0.72952 0.864 0.124 0.012
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 3 0.8637 0.19273 0.100 0.444 0.456
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.7279 0.60116 0.056 0.292 0.652
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 1 0.5156 0.70382 0.776 0.008 0.216
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.5873 0.56672 0.004 0.312 0.684
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.4821 0.57775 0.040 0.840 0.120
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 2 0.7394 -0.09098 0.472 0.496 0.032
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.7138 0.37166 0.044 0.644 0.312
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 2 0.0592 0.59817 0.000 0.988 0.012
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.7652 -0.07271 0.044 0.512 0.444
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.6854 0.51638 0.124 0.740 0.136
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 1 0.4702 0.69762 0.788 0.000 0.212
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 2 0.8675 0.35835 0.184 0.596 0.220
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 1 0.9906 0.02907 0.388 0.340 0.272
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 2 0.6752 0.52117 0.104 0.744 0.152
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.7101 0.65153 0.704 0.216 0.080
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 1 0.5067 0.74532 0.832 0.052 0.116
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 2 0.0237 0.60044 0.000 0.996 0.004
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.8173 0.42326 0.552 0.368 0.080
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.4897 0.70801 0.812 0.172 0.016
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.3445 0.74302 0.896 0.088 0.016
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 2 0.0424 0.59951 0.000 0.992 0.008
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.8939 0.48106 0.560 0.264 0.176
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 3 0.8894 0.27208 0.300 0.152 0.548
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.1620 0.74575 0.964 0.024 0.012
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.5728 0.69028 0.772 0.196 0.032
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 1 0.9802 0.08681 0.400 0.240 0.360
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 2 0.0237 0.60044 0.000 0.996 0.004
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 1 0.9906 0.02907 0.388 0.340 0.272
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 2 0.1774 0.60527 0.016 0.960 0.024
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 2 0.8223 0.33871 0.288 0.604 0.108
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 2 0.6929 0.32635 0.052 0.688 0.260
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.1647 0.60357 0.004 0.960 0.036
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.6918 0.51180 0.128 0.736 0.136
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.7657 -0.08790 0.044 0.508 0.448
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.4749 0.75487 0.852 0.076 0.072
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 1 0.5156 0.70382 0.776 0.008 0.216
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 2 0.0983 0.60208 0.004 0.980 0.016
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 1 0.6632 0.65233 0.692 0.036 0.272
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.4209 0.58888 0.016 0.128 0.856
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.6434 0.14984 0.008 0.612 0.380
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 1 0.5810 0.73557 0.796 0.072 0.132
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 2 0.4483 0.57836 0.024 0.848 0.128
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 1 0.9461 0.33936 0.496 0.224 0.280
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.9647 0.12717 0.264 0.468 0.268
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.7454 0.61757 0.668 0.252 0.080
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.8148 0.34237 0.100 0.604 0.296
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 2 0.4209 0.55136 0.128 0.856 0.016
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.5823 0.59234 0.064 0.144 0.792
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.1453 0.74570 0.968 0.024 0.008
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.1832 0.74749 0.956 0.036 0.008
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 2 0.1999 0.59705 0.036 0.952 0.012
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 1 0.5247 0.70075 0.768 0.008 0.224
#> 73D9833A-5E24-47D9-B193-22A66A282669 2 0.8675 0.35835 0.184 0.596 0.220
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.8157 0.32586 0.096 0.596 0.308
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 2 0.3337 0.60376 0.060 0.908 0.032
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.5875 0.73292 0.792 0.072 0.136
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.6307 -0.22066 0.000 0.512 0.488
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.6307 0.32444 0.000 0.488 0.512
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.6307 0.32444 0.000 0.488 0.512
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.4209 0.58888 0.016 0.128 0.856
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 2 0.2384 0.60488 0.008 0.936 0.056
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 2 0.2116 0.59733 0.040 0.948 0.012
#> 56943BD9-EEDA-457A-9F18-ACC397978668 2 0.7392 -0.08482 0.468 0.500 0.032
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 2 0.3183 0.58176 0.076 0.908 0.016
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.6305 -0.20868 0.000 0.516 0.484
#> C958FCED-BB40-4823-B839-6A31C6988A32 2 0.0892 0.60465 0.020 0.980 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.6518 -0.21641 0.004 0.512 0.484
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 2 0.4748 0.53758 0.144 0.832 0.024
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 3 0.6498 0.49295 0.008 0.396 0.596
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.6209 0.52240 0.004 0.368 0.628
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 2 0.3039 0.60796 0.036 0.920 0.044
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.1031 0.73453 0.976 0.000 0.024
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.5902 0.56597 0.004 0.316 0.680
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.2749 0.74641 0.924 0.064 0.012
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 1 0.6698 0.65231 0.684 0.036 0.280
#> 57373041-9D22-4DB1-AA56-97733339391B 2 0.6556 0.39747 0.276 0.692 0.032
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.5519 0.57663 0.068 0.120 0.812
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.1289 0.73415 0.968 0.000 0.032
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 2 0.0000 0.60107 0.000 1.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.6630 0.68867 0.724 0.056 0.220
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.1832 0.74749 0.956 0.036 0.008
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.7279 0.60116 0.056 0.292 0.652
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.4209 0.58888 0.016 0.128 0.856
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.5450 0.66502 0.760 0.228 0.012
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.6518 -0.20851 0.004 0.512 0.484
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 2 0.0592 0.59958 0.000 0.988 0.012
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.8066 0.03494 0.068 0.528 0.404
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 1 0.6872 0.64554 0.680 0.044 0.276
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 1 0.9817 0.14461 0.428 0.300 0.272
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.6302 -0.19709 0.000 0.520 0.480
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 1 0.5875 0.73292 0.792 0.072 0.136
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 2 0.3091 0.57719 0.072 0.912 0.016
#> 002A3E61-7200-4B45-9704-6A9360233390 2 0.1031 0.59457 0.000 0.976 0.024
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 2 0.5414 0.46811 0.212 0.772 0.016
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.7178 -0.14127 0.024 0.512 0.464
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.9408 0.34464 0.492 0.308 0.200
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 1 0.7003 0.66878 0.692 0.060 0.248
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.4469 0.73510 0.852 0.120 0.028
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 2 0.0475 0.60228 0.004 0.992 0.004
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 1 0.9248 0.41794 0.516 0.296 0.188
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 4 0.6787 0.38790 0.016 0.100 0.260 0.624
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.6695 0.52525 0.036 0.092 0.200 0.672
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.4391 0.45671 0.252 0.740 0.008 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.2520 0.60402 0.904 0.088 0.004 0.004
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.6174 0.50801 0.676 0.060 0.020 0.244
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.6701 0.47303 0.636 0.072 0.028 0.264
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.5392 0.38947 0.672 0.300 0.012 0.016
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 1 0.7909 -0.02125 0.496 0.352 0.104 0.048
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 3 0.6441 0.64542 0.020 0.084 0.668 0.228
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.2222 0.64728 0.928 0.008 0.008 0.056
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.9275 -0.22886 0.080 0.328 0.324 0.268
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.0804 0.69216 0.000 0.012 0.008 0.980
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 3 0.4635 0.66624 0.000 0.028 0.756 0.216
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.6695 0.52525 0.036 0.092 0.200 0.672
#> C8041089-E148-4B33-BBB7-9298B81A8832 4 0.0859 0.69668 0.008 0.008 0.004 0.980
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.3870 0.56987 0.820 0.164 0.008 0.008
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0657 0.69438 0.000 0.012 0.004 0.984
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.4283 0.48731 0.256 0.740 0.004 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.4669 0.64346 0.016 0.048 0.128 0.808
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.3498 0.61573 0.832 0.008 0.000 0.160
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.9800 0.17431 0.232 0.304 0.164 0.300
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.8364 0.31893 0.528 0.144 0.076 0.252
#> C1323790-6C24-4E54-A266-AE66588C1DD5 4 0.7793 0.17344 0.036 0.116 0.340 0.508
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.2452 0.69129 0.084 0.004 0.004 0.908
#> E773014C-98DE-4394-95F9-845E29F35A2B 3 0.4956 0.66060 0.000 0.036 0.732 0.232
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.2999 0.57662 0.864 0.132 0.004 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.3831 0.51691 0.792 0.204 0.004 0.000
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.0937 0.69277 0.000 0.012 0.012 0.976
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#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.8830 0.25193 0.496 0.176 0.104 0.224
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 3 0.8908 0.03932 0.160 0.352 0.404 0.084
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.2075 0.63251 0.936 0.044 0.004 0.016
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.4658 0.60030 0.788 0.036 0.008 0.168
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.9318 0.27134 0.168 0.448 0.208 0.176
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.0376 0.69655 0.004 0.000 0.004 0.992
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.9813 0.20659 0.228 0.324 0.172 0.276
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 4 0.1884 0.70334 0.016 0.020 0.016 0.948
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 4 0.7700 0.46611 0.272 0.096 0.060 0.572
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 4 0.6683 0.40251 0.024 0.072 0.276 0.628
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.1443 0.69817 0.004 0.008 0.028 0.960
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 4 0.6945 0.56743 0.096 0.104 0.112 0.688
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 3 0.6684 0.58675 0.008 0.104 0.616 0.272
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.5202 0.57113 0.760 0.176 0.012 0.052
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.4283 0.48945 0.256 0.740 0.004 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.0967 0.69754 0.004 0.004 0.016 0.976
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.6506 0.51456 0.260 0.644 0.080 0.016
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.3942 0.49521 0.000 0.236 0.764 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 3 0.6214 0.37238 0.000 0.056 0.536 0.408
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 1 0.6734 0.21125 0.576 0.348 0.040 0.036
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 4 0.4669 0.64346 0.016 0.048 0.128 0.808
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.9419 0.38653 0.280 0.400 0.136 0.184
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 4 0.9612 0.10054 0.156 0.244 0.216 0.384
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.6807 0.48340 0.652 0.092 0.032 0.224
#> A6C06064-8194-4DFB-9262-A30E63DB2514 4 0.8323 0.19568 0.056 0.152 0.292 0.500
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 4 0.3538 0.66254 0.160 0.004 0.004 0.832
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.5120 0.47803 0.008 0.276 0.700 0.016
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.1488 0.63532 0.956 0.032 0.000 0.012
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.1182 0.64047 0.968 0.016 0.000 0.016
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.2010 0.69661 0.060 0.004 0.004 0.932
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.4422 0.48939 0.256 0.736 0.008 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.8656 0.40261 0.148 0.132 0.188 0.532
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 4 0.8346 0.15369 0.056 0.148 0.308 0.488
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 4 0.2904 0.70169 0.060 0.012 0.024 0.904
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.6873 0.36101 0.628 0.264 0.072 0.036
#> 5663C145-B465-4509-BA9A-1A40584952BD 3 0.4741 0.66319 0.000 0.028 0.744 0.228
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.5314 0.56056 0.000 0.108 0.748 0.144
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.5314 0.56056 0.000 0.108 0.748 0.144
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.3942 0.49521 0.000 0.236 0.764 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.2731 0.69365 0.008 0.032 0.048 0.912
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.2088 0.69671 0.064 0.004 0.004 0.928
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.6369 0.09824 0.480 0.032 0.016 0.472
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.2777 0.68485 0.104 0.004 0.004 0.888
#> D316C207-8020-47A7-8C2D-753CF42223B5 3 0.4775 0.66071 0.000 0.028 0.740 0.232
#> C958FCED-BB40-4823-B839-6A31C6988A32 4 0.1209 0.70082 0.032 0.004 0.000 0.964
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 3 0.4833 0.66247 0.000 0.032 0.740 0.228
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.4043 0.65103 0.168 0.012 0.008 0.812
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 3 0.4756 0.65936 0.000 0.072 0.784 0.144
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.3399 0.61920 0.000 0.040 0.868 0.092
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 4 0.3228 0.69894 0.040 0.032 0.032 0.896
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.2593 0.59068 0.892 0.104 0.004 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.3312 0.58072 0.000 0.072 0.876 0.052
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.1118 0.64675 0.964 0.000 0.000 0.036
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.6543 0.51769 0.256 0.640 0.092 0.012
#> 57373041-9D22-4DB1-AA56-97733339391B 4 0.5438 0.47385 0.308 0.016 0.012 0.664
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.4850 0.44531 0.008 0.292 0.696 0.004
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.3257 0.56366 0.844 0.152 0.004 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 4 0.0524 0.69778 0.008 0.004 0.000 0.988
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.7283 0.29147 0.420 0.480 0.068 0.032
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.1182 0.64047 0.968 0.016 0.000 0.016
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.6243 0.61664 0.024 0.140 0.712 0.124
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.3942 0.49521 0.000 0.236 0.764 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.3649 0.58075 0.796 0.000 0.000 0.204
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 3 0.4956 0.66060 0.000 0.036 0.732 0.232
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.0937 0.69566 0.000 0.012 0.012 0.976
#> B013515B-3825-40E0-9854-04EC0AFE600D 3 0.7512 0.45701 0.016 0.132 0.516 0.336
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.6704 0.51232 0.264 0.628 0.092 0.016
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.9754 0.28081 0.240 0.348 0.164 0.248
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 3 0.4808 0.65799 0.000 0.028 0.736 0.236
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 1 0.6873 0.36101 0.628 0.264 0.072 0.036
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.2839 0.68351 0.108 0.004 0.004 0.884
#> 002A3E61-7200-4B45-9704-6A9360233390 4 0.1042 0.69080 0.000 0.008 0.020 0.972
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.4400 0.57494 0.248 0.004 0.004 0.744
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 3 0.5984 0.63319 0.016 0.052 0.680 0.252
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.9066 0.18099 0.452 0.140 0.132 0.276
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.7316 0.39585 0.364 0.528 0.072 0.036
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.3684 0.64099 0.868 0.036 0.016 0.080
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0844 0.69875 0.012 0.004 0.004 0.980
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 1 0.9274 -0.02539 0.408 0.256 0.100 0.236
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 4 0.6259 -0.07826 0.004 0.376 0.132 0.488 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.6508 0.26197 0.012 0.308 0.140 0.536 0.004
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.3520 0.82935 0.076 0.080 0.004 0.000 0.840
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.2513 0.60825 0.876 0.008 0.000 0.000 0.116
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.5870 0.52120 0.620 0.208 0.000 0.168 0.004
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.6459 0.47652 0.576 0.224 0.012 0.184 0.004
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.6049 0.37022 0.564 0.164 0.000 0.000 0.272
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 1 0.8160 0.03010 0.360 0.304 0.052 0.020 0.264
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 3 0.5958 0.48101 0.004 0.272 0.620 0.084 0.020
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.1741 0.67340 0.936 0.040 0.000 0.024 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.6333 0.39357 0.016 0.648 0.180 0.128 0.028
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.1197 0.72582 0.000 0.048 0.000 0.952 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 3 0.4490 0.57995 0.000 0.168 0.756 0.072 0.004
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.6508 0.26197 0.012 0.308 0.140 0.536 0.004
#> C8041089-E148-4B33-BBB7-9298B81A8832 4 0.0798 0.73038 0.008 0.016 0.000 0.976 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.4170 0.56566 0.760 0.048 0.000 0.000 0.192
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0609 0.72466 0.000 0.020 0.000 0.980 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.4158 0.85583 0.092 0.124 0.000 0.000 0.784
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.5055 0.59459 0.008 0.188 0.080 0.720 0.004
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.3593 0.65094 0.824 0.060 0.000 0.116 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.6160 0.53770 0.132 0.664 0.024 0.164 0.016
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.7914 0.28410 0.464 0.284 0.044 0.172 0.036
#> C1323790-6C24-4E54-A266-AE66588C1DD5 4 0.7460 -0.16250 0.012 0.336 0.252 0.384 0.016
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.2927 0.71320 0.060 0.068 0.000 0.872 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 3 0.4814 0.56722 0.000 0.192 0.724 0.080 0.004
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.3013 0.58025 0.832 0.008 0.000 0.000 0.160
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.4029 0.49446 0.744 0.024 0.000 0.000 0.232
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.1357 0.72590 0.000 0.048 0.004 0.948 0.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 2 0.8543 -0.01881 0.348 0.360 0.140 0.032 0.120
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.6918 0.53727 0.108 0.604 0.056 0.212 0.020
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.6435 0.52914 0.604 0.244 0.004 0.112 0.036
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.3780 0.68043 0.116 0.072 0.000 0.812 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0566 0.72913 0.004 0.012 0.000 0.984 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.6541 0.25335 0.012 0.308 0.144 0.532 0.004
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.3246 0.55897 0.808 0.008 0.000 0.000 0.184
#> 2A08011A-E15E-4754-B560-4637EF3A446B 5 0.5316 0.64375 0.284 0.084 0.000 0.000 0.632
#> 333F9855-9462-46B8-87C8-E9B01572C101 2 0.7744 0.36852 0.104 0.428 0.124 0.340 0.004
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.3558 0.67097 0.840 0.108 0.000 0.036 0.016
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.4372 0.63760 0.172 0.072 0.000 0.756 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.2992 0.71420 0.068 0.064 0.000 0.868 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 3 0.7182 0.19571 0.020 0.392 0.444 0.116 0.028
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 3 0.6394 0.11547 0.000 0.404 0.428 0.168 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0510 0.66345 0.984 0.016 0.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 4 0.1648 0.72897 0.020 0.040 0.000 0.940 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.2612 0.60375 0.868 0.008 0.000 0.000 0.124
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.1106 0.73188 0.012 0.024 0.000 0.964 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 4 0.7257 -0.13780 0.004 0.340 0.248 0.392 0.016
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.7274 0.41666 0.048 0.608 0.100 0.072 0.172
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.8018 -0.04279 0.116 0.436 0.080 0.032 0.336
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.1741 0.67340 0.936 0.040 0.000 0.024 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.6379 0.35264 0.012 0.600 0.212 0.168 0.008
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.6620 0.29581 0.492 0.244 0.000 0.260 0.004
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.8085 0.21443 0.044 0.476 0.240 0.052 0.188
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 3 0.8449 0.11051 0.044 0.344 0.364 0.184 0.064
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.5725 0.48070 0.000 0.172 0.624 0.000 0.204
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 4 0.5998 0.07315 0.004 0.372 0.104 0.520 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.2648 0.67527 0.904 0.052 0.012 0.024 0.008
#> B0245553-F100-4235-BFC2-AB908C42E401 4 0.4386 0.65988 0.140 0.096 0.000 0.764 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 4 0.1205 0.73039 0.000 0.040 0.004 0.956 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.7418 0.40167 0.036 0.596 0.152 0.096 0.120
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.8058 0.30705 0.024 0.272 0.452 0.184 0.068
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.1408 0.64678 0.948 0.008 0.000 0.000 0.044
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 3 0.4998 0.54963 0.000 0.196 0.700 0.104 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 3 0.5386 0.52546 0.000 0.148 0.680 0.168 0.004
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.7445 0.39696 0.036 0.592 0.156 0.092 0.124
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.5857 0.53961 0.000 0.164 0.684 0.096 0.056
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 4 0.6360 -0.03212 0.004 0.348 0.152 0.496 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.7812 0.38522 0.024 0.272 0.492 0.140 0.072
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.6882 0.35444 0.256 0.500 0.004 0.228 0.012
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.1197 0.72582 0.000 0.048 0.000 0.952 0.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.7543 0.35523 0.032 0.572 0.188 0.096 0.112
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.8058 0.30705 0.024 0.272 0.452 0.184 0.068
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.6070 0.47138 0.012 0.148 0.192 0.640 0.008
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.3234 0.70496 0.084 0.064 0.000 0.852 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.6568 0.00502 0.000 0.412 0.384 0.204 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.6153 0.25577 0.000 0.136 0.484 0.000 0.380
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#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.2514 0.72230 0.044 0.060 0.000 0.896 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.4203 0.85477 0.092 0.128 0.000 0.000 0.780
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.7941 -0.11021 0.092 0.360 0.124 0.408 0.016
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.6809 0.37379 0.012 0.452 0.192 0.344 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 4 0.3395 0.71288 0.048 0.104 0.004 0.844 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.7207 0.39062 0.536 0.216 0.036 0.012 0.200
#> 5663C145-B465-4509-BA9A-1A40584952BD 3 0.4696 0.57299 0.000 0.172 0.740 0.084 0.004
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.4415 0.49491 0.000 0.184 0.760 0.012 0.044
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.4415 0.49491 0.000 0.184 0.760 0.012 0.044
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.5344 0.50980 0.000 0.164 0.672 0.000 0.164
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.2517 0.70329 0.004 0.104 0.008 0.884 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.2580 0.72155 0.044 0.064 0.000 0.892 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.6363 0.13629 0.444 0.164 0.000 0.392 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.3354 0.70193 0.088 0.068 0.000 0.844 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 3 0.4732 0.57081 0.000 0.176 0.736 0.084 0.004
#> C958FCED-BB40-4823-B839-6A31C6988A32 4 0.1830 0.73318 0.028 0.040 0.000 0.932 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 3 0.4712 0.57182 0.000 0.180 0.736 0.080 0.004
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.4559 0.64648 0.152 0.100 0.000 0.748 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 3 0.4630 0.60380 0.000 0.132 0.776 0.056 0.036
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.2131 0.59009 0.000 0.056 0.920 0.016 0.008
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 4 0.3409 0.70374 0.024 0.116 0.016 0.844 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.2612 0.60375 0.868 0.008 0.000 0.000 0.124
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.2124 0.57511 0.000 0.056 0.916 0.000 0.028
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.1300 0.67052 0.956 0.028 0.000 0.016 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 5 0.6357 0.59289 0.084 0.356 0.024 0.004 0.532
#> 57373041-9D22-4DB1-AA56-97733339391B 4 0.5678 0.45896 0.284 0.116 0.000 0.600 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.5779 0.47316 0.000 0.172 0.616 0.000 0.212
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.3246 0.55897 0.808 0.008 0.000 0.000 0.184
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 4 0.0898 0.73141 0.008 0.020 0.000 0.972 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.7109 -0.18158 0.300 0.408 0.008 0.004 0.280
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.1018 0.66141 0.968 0.016 0.000 0.000 0.016
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.6366 0.53158 0.000 0.236 0.616 0.076 0.072
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.5344 0.50980 0.000 0.164 0.672 0.000 0.164
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.3882 0.61713 0.788 0.044 0.000 0.168 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 3 0.4847 0.56739 0.000 0.196 0.720 0.080 0.004
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.1569 0.72761 0.000 0.044 0.004 0.944 0.008
#> B013515B-3825-40E0-9854-04EC0AFE600D 3 0.6417 0.10781 0.000 0.404 0.424 0.172 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.6323 0.52192 0.088 0.400 0.016 0.004 0.492
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.7891 0.50150 0.148 0.560 0.052 0.124 0.116
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 3 0.4767 0.56815 0.000 0.180 0.732 0.084 0.004
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 1 0.7207 0.39062 0.536 0.216 0.036 0.012 0.200
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.3234 0.70318 0.084 0.064 0.000 0.852 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 4 0.1121 0.71836 0.000 0.044 0.000 0.956 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.4850 0.57492 0.224 0.076 0.000 0.700 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 3 0.5470 0.48828 0.000 0.252 0.636 0.112 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.8540 0.09043 0.400 0.284 0.088 0.192 0.036
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.7056 -0.15600 0.248 0.460 0.008 0.008 0.276
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.3558 0.67097 0.840 0.108 0.000 0.036 0.016
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.1106 0.73188 0.012 0.024 0.000 0.964 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.8120 0.16935 0.328 0.432 0.036 0.128 0.076
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 4 0.6565 -0.20070 0.000 0.332 0.024 0.376 0.000 0.268
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.7007 0.20726 0.008 0.216 0.068 0.460 0.000 0.248
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.1116 0.77575 0.004 0.000 0.028 0.000 0.960 0.008
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.2890 0.61756 0.860 0.000 0.032 0.000 0.096 0.012
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.6602 0.49717 0.572 0.036 0.044 0.112 0.004 0.232
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.7076 0.45452 0.528 0.056 0.048 0.124 0.004 0.240
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.6666 0.37816 0.504 0.008 0.060 0.000 0.276 0.152
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 1 0.8515 -0.00370 0.280 0.076 0.116 0.004 0.272 0.252
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.3011 0.52129 0.000 0.856 0.016 0.008 0.016 0.104
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.1737 0.66996 0.932 0.000 0.008 0.020 0.000 0.040
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 6 0.5566 0.33759 0.008 0.396 0.020 0.016 0.032 0.528
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.1750 0.72316 0.000 0.016 0.012 0.932 0.000 0.040
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.1477 0.50223 0.000 0.940 0.048 0.008 0.000 0.004
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.7007 0.20726 0.008 0.216 0.068 0.460 0.000 0.248
#> C8041089-E148-4B33-BBB7-9298B81A8832 4 0.1007 0.73111 0.008 0.004 0.004 0.968 0.000 0.016
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.4670 0.57594 0.728 0.004 0.044 0.000 0.180 0.044
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.1088 0.72126 0.000 0.000 0.016 0.960 0.000 0.024
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.1931 0.80488 0.020 0.016 0.004 0.000 0.928 0.032
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.5801 0.54922 0.008 0.144 0.056 0.648 0.000 0.144
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.4126 0.65139 0.796 0.008 0.032 0.092 0.000 0.072
#> 82341457-7386-4C56-9DAF-A8F020055685 6 0.6351 0.58463 0.080 0.192 0.008 0.064 0.032 0.624
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.8132 0.25122 0.416 0.096 0.068 0.104 0.024 0.292
#> C1323790-6C24-4E54-A266-AE66588C1DD5 4 0.7729 -0.15688 0.008 0.296 0.144 0.308 0.000 0.244
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.2872 0.71288 0.052 0.000 0.008 0.864 0.000 0.076
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.1065 0.53221 0.000 0.964 0.020 0.008 0.000 0.008
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.3373 0.59640 0.816 0.000 0.032 0.000 0.140 0.012
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.4380 0.51619 0.716 0.000 0.056 0.000 0.216 0.012
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.1932 0.72215 0.000 0.020 0.016 0.924 0.000 0.040
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.8183 0.03802 0.308 0.092 0.296 0.000 0.068 0.236
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 6 0.6861 0.55600 0.060 0.232 0.020 0.108 0.020 0.560
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.6940 0.47669 0.548 0.064 0.036 0.048 0.036 0.268
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.3800 0.68141 0.108 0.000 0.016 0.800 0.000 0.076
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0653 0.72795 0.004 0.000 0.012 0.980 0.000 0.004
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.7062 0.19530 0.008 0.216 0.072 0.452 0.000 0.252
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.3667 0.57594 0.788 0.000 0.036 0.000 0.164 0.012
#> 2A08011A-E15E-4754-B560-4637EF3A446B 5 0.4145 0.61417 0.208 0.000 0.044 0.000 0.736 0.012
#> 333F9855-9462-46B8-87C8-E9B01572C101 6 0.7891 0.36481 0.072 0.292 0.036 0.232 0.008 0.360
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.4060 0.66719 0.804 0.012 0.028 0.020 0.016 0.120
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.4395 0.64639 0.164 0.000 0.016 0.740 0.000 0.080
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.2982 0.71291 0.060 0.000 0.012 0.860 0.000 0.068
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.4859 0.34196 0.004 0.680 0.012 0.016 0.036 0.252
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.5102 0.31278 0.000 0.652 0.028 0.072 0.000 0.248
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0405 0.66236 0.988 0.000 0.004 0.000 0.000 0.008
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 4 0.1871 0.73032 0.024 0.000 0.016 0.928 0.000 0.032
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.2986 0.61251 0.852 0.000 0.032 0.000 0.104 0.012
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.1230 0.73033 0.008 0.000 0.008 0.956 0.000 0.028
#> 9BDFB73A-076E-418B-B84E-381341688002 4 0.7629 -0.11729 0.004 0.296 0.144 0.320 0.000 0.236
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 6 0.6532 0.44198 0.020 0.300 0.008 0.004 0.192 0.476
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.7788 -0.10377 0.056 0.184 0.060 0.004 0.380 0.316
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.1737 0.66996 0.932 0.000 0.008 0.020 0.000 0.040
#> DC33C2B1-27D4-4997-AAFD-633162F52895 6 0.5597 0.21856 0.000 0.440 0.024 0.048 0.012 0.476
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.7379 0.29405 0.460 0.056 0.036 0.184 0.004 0.260
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.6845 -0.24401 0.012 0.388 0.024 0.004 0.208 0.364
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 3 0.8206 0.40066 0.032 0.192 0.388 0.132 0.016 0.240
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.4575 0.65147 0.000 0.196 0.720 0.000 0.052 0.032
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 4 0.6614 -0.08757 0.004 0.244 0.024 0.412 0.000 0.316
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.2489 0.67508 0.900 0.012 0.020 0.016 0.000 0.052
#> B0245553-F100-4235-BFC2-AB908C42E401 4 0.4811 0.65284 0.124 0.028 0.004 0.728 0.000 0.116
#> F42EDEA7-271C-4A65-8113-62FA64424535 4 0.2071 0.72886 0.000 0.028 0.012 0.916 0.000 0.044
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 6 0.6338 0.38759 0.016 0.356 0.008 0.012 0.124 0.484
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.7599 0.54362 0.016 0.236 0.452 0.132 0.008 0.156
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.1679 0.65030 0.936 0.000 0.016 0.000 0.036 0.012
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.1699 0.53884 0.000 0.936 0.016 0.032 0.000 0.016
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.3104 0.47127 0.000 0.844 0.020 0.112 0.000 0.024
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 6 0.6288 0.38440 0.016 0.360 0.008 0.008 0.128 0.480
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.5496 0.66137 0.000 0.256 0.620 0.080 0.000 0.044
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 4 0.6364 -0.16243 0.000 0.364 0.016 0.388 0.000 0.232
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.7544 0.57867 0.016 0.276 0.444 0.100 0.012 0.152
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 6 0.7884 0.43145 0.216 0.140 0.040 0.132 0.012 0.460
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.1750 0.72316 0.000 0.016 0.012 0.932 0.000 0.040
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 6 0.6186 0.33270 0.008 0.388 0.012 0.008 0.120 0.464
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.7599 0.54362 0.016 0.236 0.452 0.132 0.008 0.156
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.6452 0.44852 0.012 0.104 0.208 0.580 0.000 0.096
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.3208 0.70459 0.076 0.000 0.012 0.844 0.000 0.068
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.5360 0.24147 0.000 0.616 0.024 0.092 0.000 0.268
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.5441 0.49841 0.000 0.132 0.624 0.000 0.224 0.020
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 6 0.7014 0.43281 0.016 0.276 0.028 0.176 0.020 0.484
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 6 0.6454 0.57612 0.124 0.168 0.012 0.036 0.040 0.620
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.0653 0.72795 0.004 0.000 0.012 0.980 0.000 0.004
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.0914 0.72274 0.000 0.000 0.016 0.968 0.000 0.016
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 6 0.7331 0.50803 0.076 0.192 0.024 0.188 0.012 0.508
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.2760 0.52670 0.000 0.868 0.016 0.012 0.004 0.100
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.3405 0.69537 0.000 0.060 0.024 0.836 0.000 0.080
#> A8AE6F61-125B-4103-9F45-3F4C86234826 4 0.0692 0.73148 0.020 0.000 0.000 0.976 0.000 0.004
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.5496 0.66137 0.000 0.256 0.620 0.080 0.000 0.044
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 4 0.1275 0.73021 0.016 0.000 0.012 0.956 0.000 0.016
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 2 0.5153 -0.24493 0.000 0.556 0.368 0.012 0.000 0.064
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.3255 0.69684 0.000 0.052 0.020 0.844 0.000 0.084
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.7947 0.18057 0.396 0.076 0.056 0.212 0.004 0.256
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 4 0.6267 0.49974 0.216 0.028 0.024 0.580 0.000 0.152
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.3790 0.48126 0.004 0.800 0.012 0.012 0.024 0.148
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 1 0.7342 0.39380 0.488 0.032 0.072 0.004 0.224 0.180
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 4 0.6359 0.31968 0.008 0.196 0.024 0.540 0.004 0.228
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.7420 0.41589 0.488 0.064 0.216 0.008 0.036 0.188
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#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.2019 0.80362 0.020 0.020 0.004 0.000 0.924 0.032
#> 73D9833A-5E24-47D9-B193-22A66A282669 6 0.8237 0.24206 0.068 0.232 0.072 0.308 0.008 0.312
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.6844 -0.19056 0.004 0.384 0.032 0.228 0.004 0.348
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 4 0.4200 0.69783 0.040 0.048 0.016 0.796 0.000 0.100
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.7623 0.38827 0.476 0.036 0.116 0.004 0.204 0.164
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.1036 0.52383 0.000 0.964 0.024 0.008 0.000 0.004
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.5525 -0.00939 0.000 0.588 0.164 0.000 0.008 0.240
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.5504 -0.00726 0.000 0.592 0.164 0.000 0.008 0.236
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.3604 0.64804 0.000 0.216 0.760 0.000 0.012 0.012
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.3305 0.69305 0.000 0.048 0.012 0.832 0.000 0.108
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.2563 0.72053 0.040 0.000 0.008 0.884 0.000 0.068
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.7200 0.20429 0.404 0.032 0.040 0.328 0.000 0.196
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.3922 0.69787 0.068 0.008 0.024 0.808 0.000 0.092
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0951 0.52631 0.000 0.968 0.020 0.008 0.000 0.004
#> C958FCED-BB40-4823-B839-6A31C6988A32 4 0.2002 0.73231 0.028 0.000 0.012 0.920 0.000 0.040
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.1149 0.52580 0.000 0.960 0.024 0.008 0.000 0.008
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.4922 0.64183 0.136 0.020 0.008 0.716 0.000 0.120
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.5306 -0.12730 0.000 0.596 0.312 0.032 0.000 0.060
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.3575 0.06149 0.000 0.708 0.284 0.000 0.000 0.008
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 4 0.4368 0.67843 0.024 0.064 0.020 0.780 0.000 0.112
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.2986 0.61251 0.852 0.000 0.032 0.000 0.104 0.012
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.4517 -0.32007 0.000 0.524 0.444 0.000 0.000 0.032
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.1251 0.66763 0.956 0.000 0.012 0.008 0.000 0.024
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 5 0.5260 0.51000 0.028 0.056 0.004 0.000 0.616 0.296
#> 57373041-9D22-4DB1-AA56-97733339391B 4 0.6208 0.45778 0.264 0.024 0.028 0.568 0.000 0.116
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.4560 0.64571 0.000 0.188 0.724 0.000 0.060 0.028
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.3667 0.57594 0.788 0.000 0.036 0.000 0.164 0.012
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 4 0.1096 0.73148 0.008 0.004 0.004 0.964 0.000 0.020
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 6 0.7914 0.04014 0.228 0.080 0.052 0.000 0.284 0.356
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0653 0.65971 0.980 0.000 0.004 0.000 0.012 0.004
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.6326 0.60686 0.000 0.340 0.504 0.060 0.008 0.088
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.3604 0.64804 0.000 0.216 0.760 0.000 0.012 0.012
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.4057 0.62158 0.780 0.004 0.020 0.144 0.000 0.052
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.1167 0.53322 0.000 0.960 0.020 0.008 0.000 0.012
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.2095 0.72428 0.000 0.016 0.028 0.916 0.000 0.040
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.5151 0.30930 0.000 0.648 0.028 0.076 0.000 0.248
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.5621 0.42073 0.036 0.056 0.008 0.000 0.568 0.332
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 6 0.7451 0.55122 0.092 0.212 0.008 0.040 0.140 0.508
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0806 0.52859 0.000 0.972 0.020 0.008 0.000 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 1 0.7623 0.38827 0.476 0.036 0.116 0.004 0.204 0.164
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.3300 0.70243 0.076 0.000 0.016 0.840 0.000 0.068
#> 002A3E61-7200-4B45-9704-6A9360233390 4 0.1391 0.72280 0.000 0.000 0.016 0.944 0.000 0.040
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.5053 0.58191 0.208 0.000 0.028 0.676 0.000 0.088
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.3402 0.53769 0.000 0.836 0.048 0.028 0.000 0.088
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.8555 0.08933 0.360 0.120 0.092 0.120 0.020 0.288
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 6 0.7749 0.09988 0.180 0.080 0.040 0.004 0.296 0.400
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.4060 0.66719 0.804 0.012 0.028 0.020 0.016 0.120
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.1116 0.73092 0.008 0.000 0.004 0.960 0.000 0.028
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 6 0.7926 0.25950 0.292 0.120 0.028 0.056 0.068 0.436
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 17416 rows and 433 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 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 0.507 0.870 0.906 0.4905 0.499 0.499
#> 3 3 0.934 0.912 0.960 0.3191 0.774 0.581
#> 4 4 0.744 0.606 0.836 0.1292 0.854 0.616
#> 5 5 0.905 0.867 0.922 0.0679 0.882 0.606
#> 6 6 0.749 0.642 0.812 0.0544 0.936 0.726
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 5
#> attr(,"optional")
#> [1] 3
There is also optional best \(k\) = 3 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 1.0000 -0.33337 0.500 0.500
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.5408 0.78252 0.124 0.876
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.7139 0.81196 0.196 0.804
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.85112 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.7056 0.89428 0.808 0.192
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.7139 0.89442 0.804 0.196
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 2 0.7139 0.81196 0.196 0.804
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.7139 0.81196 0.196 0.804
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.92419 0.000 1.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.85112 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.92419 0.000 1.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.7139 0.89442 0.804 0.196
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.92419 0.000 1.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.7139 0.89442 0.804 0.196
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.7139 0.89442 0.804 0.196
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.85112 1.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.7139 0.89442 0.804 0.196
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.7139 0.81196 0.196 0.804
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.7139 0.89442 0.804 0.196
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.85112 1.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0000 0.92419 0.000 1.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.0000 0.85112 1.000 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.0000 0.92419 0.000 1.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.7139 0.89442 0.804 0.196
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.92419 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.85112 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.9833 -0.01865 0.576 0.424
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.9129 0.32820 0.328 0.672
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0000 0.85112 1.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.92419 0.000 1.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.0000 0.85112 1.000 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.7056 0.89428 0.808 0.192
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.7139 0.89442 0.804 0.196
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 2 0.0000 0.92419 0.000 1.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.85112 1.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.7139 0.81196 0.196 0.804
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.9732 0.58305 0.596 0.404
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.85112 1.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.85112 1.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.7139 0.89442 0.804 0.196
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.92419 0.000 1.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.92419 0.000 1.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.85112 1.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.7139 0.89442 0.804 0.196
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.85112 1.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.7139 0.89442 0.804 0.196
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.0000 0.92419 0.000 1.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.1633 0.91259 0.024 0.976
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.7056 0.81491 0.192 0.808
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.85112 1.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.92419 0.000 1.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.85112 1.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.92419 0.000 1.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.92419 0.000 1.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 2 0.2423 0.90445 0.040 0.960
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.5408 0.78258 0.124 0.876
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.85112 1.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.7139 0.89442 0.804 0.196
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.7139 0.89442 0.804 0.196
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.92419 0.000 1.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 2 0.5946 0.75348 0.144 0.856
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.85112 1.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.92419 0.000 1.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.0000 0.92419 0.000 1.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.3431 0.89164 0.064 0.936
#> 481EF2B5-E610-4F19-80F2-22327EE33378 2 0.0000 0.92419 0.000 1.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 1 0.8207 0.83213 0.744 0.256
#> 164DD212-0839-4644-8FEE-E6A07A60803B 2 0.0000 0.92419 0.000 1.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 1 0.7139 0.89442 0.804 0.196
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 1 0.7139 0.89442 0.804 0.196
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.92419 0.000 1.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 2 0.0000 0.92419 0.000 1.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.7139 0.89442 0.804 0.196
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#> 79E4E984-163D-43D9-B289-50C0D64A79C2 1 0.0000 0.85112 1.000 0.000
#> FFA0A012-76C8-4AD5-985D-27CEBD96FBC3 1 0.7139 0.89442 0.804 0.196
#> 839A5A2D-0447-4D06-B910-8500BF600E3E 2 0.0000 0.92419 0.000 1.000
#> CE775B7C-06CA-490B-922C-73A1E3EF34CA 1 0.7139 0.89442 0.804 0.196
#> 5D52CC4F-7BCA-491E-AE85-0719B30D121E 1 0.7139 0.89442 0.804 0.196
#> 5F16D2A6-BDD1-40FE-A34D-9C65D067EFEC 2 0.0000 0.92419 0.000 1.000
#> B76BA504-E72D-4243-8401-D9F12757B57D 1 0.0000 0.85112 1.000 0.000
#> 287690D7-7F42-4861-A884-98D5A7A4D18F 2 0.6247 0.83742 0.156 0.844
#> D1D1649A-7437-4F25-B86E-786A25B0ECBE 1 0.5294 0.87927 0.880 0.120
#> DAF737C4-DF51-4C8C-B263-91B00B09D8FC 1 0.0000 0.85112 1.000 0.000
#> A30417A9-2D50-4723-842A-45463DB534AD 1 0.7139 0.89442 0.804 0.196
#> 0B840B00-AFF7-4D0E-9815-FA2A893294C6 1 0.7056 0.89428 0.808 0.192
#> 32FC134E-6424-4517-9B0C-B2E487542EC3 1 0.7139 0.89442 0.804 0.196
#> 85363C3B-1793-4B41-8015-C5450C1D5428 1 0.7056 0.89428 0.808 0.192
#> A8574381-5644-4F7A-BDD7-C579A6398B70 2 0.7139 0.81196 0.196 0.804
#> 85BCE632-72B2-475A-8FE0-F045051B3CE5 1 0.0000 0.85112 1.000 0.000
#> 9972E418-EFEC-4AA6-AA83-98D79D74DFB4 1 0.7139 0.89442 0.804 0.196
#> 3F9403BF-0B47-40E4-8709-9DB0D218E607 1 0.7139 0.89442 0.804 0.196
#> E9595675-4155-43BB-8E68-FC59D55C62E6 1 0.7139 0.89442 0.804 0.196
#> 4B6DDD8E-AB89-4C9D-8D48-AD81B8FB4A31 2 0.7139 0.81196 0.196 0.804
#> EEDFA1F7-26D8-426A-93F5-43CCF0B3CF59 2 0.0000 0.92419 0.000 1.000
#> 2C26486A-A737-4B2F-9D98-28A700081CDA 2 0.0000 0.92419 0.000 1.000
#> 458FCE33-422D-4C4C-A9CF-ABFED8B19D4A 2 0.0000 0.92419 0.000 1.000
#> A66FCDA9-6775-4052-94C4-12E173DF4084 1 0.7139 0.89442 0.804 0.196
#> E3F52C71-F558-47C7-B956-BC79F98EFD5D 2 0.7056 0.81491 0.192 0.808
#> 82C75B87-33D1-4317-AC48-7043A3D677EC 2 0.0000 0.92419 0.000 1.000
#> E4DB5591-7C73-4792-B86F-3B2FB59C66BD 2 0.0000 0.92419 0.000 1.000
#> FEF62FF9-F25E-49A7-B1E4-84099D13A309 2 0.0000 0.92419 0.000 1.000
#> 3D6CE155-4E02-4739-A8C9-30981EA9B0B1 1 0.7056 0.89428 0.808 0.192
#> 0A3AB174-07D0-4396-A6C5-9ECEEBE8651C 1 0.7139 0.89442 0.804 0.196
#> 86ACC3DD-A9E8-4FDA-ACF9-33175CE06629 1 0.0000 0.85112 1.000 0.000
#> A3150223-5399-4CC6-90A7-6046F39FAC3E 2 0.0000 0.92419 0.000 1.000
#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 1 0.7056 0.89428 0.808 0.192
#> 99D8A9E2-773C-4142-9A93-5F749961F712 1 0.7139 0.89442 0.804 0.196
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 2 0.0000 0.92419 0.000 1.000
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 1 0.0000 0.85112 1.000 0.000
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 2 0.7139 0.81196 0.196 0.804
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 1 0.7056 0.89428 0.808 0.192
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 2 0.0000 0.92419 0.000 1.000
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 2 0.7139 0.81196 0.196 0.804
#> 14003AA2-81B6-4143-98AD-124903BAE56B 1 0.7139 0.89442 0.804 0.196
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.7139 0.89442 0.804 0.196
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0000 0.92419 0.000 1.000
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.5408 0.78250 0.124 0.876
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.0000 0.92419 0.000 1.000
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 2 0.7139 0.81196 0.196 0.804
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 2 0.0000 0.92419 0.000 1.000
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.7056 0.89428 0.808 0.192
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0000 0.85112 1.000 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 2 0.7139 0.81196 0.196 0.804
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 2 0.0000 0.92419 0.000 1.000
#> 420503AA-3799-4816-BEEC-0B4D05988D38 2 0.7056 0.81491 0.192 0.808
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0000 0.85112 1.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.85112 1.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.7056 0.81491 0.192 0.808
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.7139 0.89442 0.804 0.196
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0000 0.85112 1.000 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.7139 0.81196 0.196 0.804
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 1 0.7139 0.89442 0.804 0.196
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.0000 0.92419 0.000 1.000
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.92419 0.000 1.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.92419 0.000 1.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.0000 0.85112 1.000 0.000
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.7139 0.81196 0.196 0.804
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.0000 0.92419 0.000 1.000
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0000 0.92419 0.000 1.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 2 0.0000 0.92419 0.000 1.000
#> B822A426-98C1-4976-9FC2-16347992AD78 2 0.0000 0.92419 0.000 1.000
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.92419 0.000 1.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0000 0.85112 1.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.92419 0.000 1.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 2 0.0000 0.92419 0.000 1.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.7056 0.81491 0.192 0.808
#> E9894334-C852-4159-9FEB-40292B160CC1 2 0.0000 0.92419 0.000 1.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 1 0.7139 0.89442 0.804 0.196
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.7139 0.89442 0.804 0.196
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.0000 0.92419 0.000 1.000
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.7139 0.89442 0.804 0.196
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0000 0.92419 0.000 1.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 1 0.7139 0.89442 0.804 0.196
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 2 0.7139 0.81196 0.196 0.804
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 2 0.0000 0.92419 0.000 1.000
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.4161 0.88052 0.084 0.916
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.7528 0.87604 0.784 0.216
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.1843 0.83541 0.972 0.028
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.7139 0.81196 0.196 0.804
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.7139 0.89442 0.804 0.196
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.7056 0.89428 0.808 0.192
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.0000 0.85112 1.000 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.85112 1.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.7139 0.89442 0.804 0.196
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 2 0.0000 0.92419 0.000 1.000
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.7056 0.81491 0.192 0.808
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.85112 1.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.85112 1.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.5178 0.86154 0.116 0.884
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.7139 0.89442 0.804 0.196
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.92419 0.000 1.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.7139 0.89442 0.804 0.196
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.7139 0.89442 0.804 0.196
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.7139 0.89442 0.804 0.196
#> FAA38111-F046-4ACD-B787-764A17EAF548 1 0.7139 0.89442 0.804 0.196
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 1 0.7139 0.89442 0.804 0.196
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.92419 0.000 1.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0000 0.85112 1.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.7056 0.81491 0.192 0.808
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.7139 0.89442 0.804 0.196
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.7139 0.81196 0.196 0.804
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 2 0.0000 0.92419 0.000 1.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.92419 0.000 1.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 2 0.7139 0.81196 0.196 0.804
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.7139 0.89442 0.804 0.196
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.7056 0.81491 0.192 0.808
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0000 0.92419 0.000 1.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.0000 0.85112 1.000 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.92419 0.000 1.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.7056 0.89428 0.808 0.192
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.4022 0.88279 0.080 0.920
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.85112 1.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.85112 1.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.7139 0.89442 0.804 0.196
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.7056 0.81491 0.192 0.808
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.9996 0.36279 0.512 0.488
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.92419 0.000 1.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.7139 0.89442 0.804 0.196
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.0672 0.84691 0.992 0.008
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 0.92419 0.000 1.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0000 0.92419 0.000 1.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0000 0.92419 0.000 1.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.0000 0.92419 0.000 1.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.7139 0.89442 0.804 0.196
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.7139 0.89442 0.804 0.196
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.7056 0.89428 0.808 0.192
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.7139 0.89442 0.804 0.196
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.92419 0.000 1.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.7139 0.89442 0.804 0.196
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.92419 0.000 1.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.7056 0.89428 0.808 0.192
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.92419 0.000 1.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0000 0.92419 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.7139 0.89442 0.804 0.196
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.85112 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.0000 0.92419 0.000 1.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.85112 1.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.7056 0.81491 0.192 0.808
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.85112 1.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.4022 0.88275 0.080 0.920
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.85112 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.7139 0.89442 0.804 0.196
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0000 0.85112 1.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.85112 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.0000 0.92419 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.0000 0.92419 0.000 1.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.7056 0.89428 0.808 0.192
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.92419 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.7139 0.89442 0.804 0.196
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.92419 0.000 1.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.7056 0.81491 0.192 0.808
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.2778 0.90039 0.048 0.952
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.92419 0.000 1.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.7139 0.81196 0.196 0.804
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.7056 0.89428 0.808 0.192
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.7139 0.89442 0.804 0.196
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.7056 0.89428 0.808 0.192
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.92419 0.000 1.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 2 0.9580 0.14490 0.380 0.620
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.7056 0.81491 0.192 0.808
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.85112 1.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.7139 0.89442 0.804 0.196
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.7056 0.81491 0.192 0.808
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 1 0.1031 0.9406 0.976 0.024 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.1964 0.9078 0.944 0.056 0.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.1643 0.9286 0.000 0.956 0.044
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 3 0.0747 0.9566 0.016 0.000 0.984
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0237 0.9595 0.996 0.000 0.004
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.0237 0.9595 0.996 0.000 0.004
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.0892 0.9434 0.000 0.020 0.980
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.5560 0.5731 0.000 0.700 0.300
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.9603 0.000 1.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 3 0.1031 0.9559 0.024 0.000 0.976
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9603 0.000 1.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.0000 0.9590 1.000 0.000 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0661 0.9597 0.004 0.988 0.008
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#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0237 0.9595 0.996 0.000 0.004
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0237 0.9595 0.996 0.000 0.004
#> FAA38111-F046-4ACD-B787-764A17EAF548 1 0.0000 0.9590 1.000 0.000 0.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 1 0.0000 0.9590 1.000 0.000 0.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0237 0.9603 0.004 0.996 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 3 0.0747 0.9566 0.016 0.000 0.984
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0424 0.9577 0.000 0.992 0.008
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.0000 0.9590 1.000 0.000 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.1031 0.9465 0.000 0.976 0.024
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 2 0.0983 0.9577 0.004 0.980 0.016
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0475 0.9601 0.004 0.992 0.004
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.4796 0.7190 0.000 0.220 0.780
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.0000 0.9590 1.000 0.000 0.000
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0424 0.9577 0.000 0.992 0.008
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0000 0.9603 0.000 1.000 0.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.1129 0.9558 0.020 0.004 0.976
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0237 0.9603 0.004 0.996 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0237 0.9595 0.996 0.000 0.004
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.0747 0.9579 0.000 0.984 0.016
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 3 0.0892 0.9568 0.020 0.000 0.980
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 3 0.1031 0.9559 0.024 0.000 0.976
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0237 0.9595 0.996 0.000 0.004
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0424 0.9577 0.000 0.992 0.008
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.0424 0.9535 0.992 0.008 0.000
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0237 0.9603 0.004 0.996 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0237 0.9595 0.996 0.000 0.004
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.0237 0.9491 0.004 0.000 0.996
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 0.9603 0.000 1.000 0.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0983 0.9577 0.004 0.980 0.016
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0983 0.9577 0.004 0.980 0.016
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.0983 0.9577 0.004 0.980 0.016
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0000 0.9590 1.000 0.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0237 0.9595 0.996 0.000 0.004
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0237 0.9595 0.996 0.000 0.004
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0237 0.9595 0.996 0.000 0.004
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.9603 0.000 1.000 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0237 0.9595 0.996 0.000 0.004
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.9603 0.000 1.000 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0237 0.9595 0.996 0.000 0.004
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0983 0.9577 0.004 0.980 0.016
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0747 0.9579 0.000 0.984 0.016
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0237 0.9595 0.996 0.000 0.004
#> 1F120308-A696-4411-9470-F6546EA5DE04 3 0.0747 0.9566 0.016 0.000 0.984
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.0983 0.9577 0.004 0.980 0.016
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 3 0.1031 0.9559 0.024 0.000 0.976
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0237 0.9593 0.000 0.996 0.004
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.4291 0.7671 0.820 0.000 0.180
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.0747 0.9579 0.000 0.984 0.016
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 3 0.0747 0.9566 0.016 0.000 0.984
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0237 0.9595 0.996 0.000 0.004
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 3 0.0892 0.9434 0.000 0.020 0.980
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 3 0.1031 0.9559 0.024 0.000 0.976
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.0983 0.9577 0.004 0.980 0.016
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.0983 0.9577 0.004 0.980 0.016
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0237 0.9595 0.996 0.000 0.004
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.9603 0.000 1.000 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.9590 1.000 0.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0237 0.9603 0.004 0.996 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0424 0.9577 0.000 0.992 0.008
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.0000 0.9603 0.000 1.000 0.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.9603 0.000 1.000 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0592 0.9405 0.000 0.012 0.988
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0237 0.9595 0.996 0.000 0.004
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.9590 1.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0237 0.9595 0.996 0.000 0.004
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0237 0.9603 0.004 0.996 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 2 0.6267 0.1888 0.452 0.548 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0424 0.9577 0.000 0.992 0.008
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 3 0.0892 0.9568 0.020 0.000 0.980
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0237 0.9595 0.996 0.000 0.004
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0424 0.9577 0.000 0.992 0.008
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 4 0.6374 0.31128 0.000 0.324 0.084 0.592
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.6023 0.36628 0.000 0.060 0.328 0.612
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.2124 0.54292 0.008 0.924 0.068 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0469 0.90606 0.988 0.012 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.0657 0.94132 0.012 0.000 0.004 0.984
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.0657 0.94132 0.012 0.000 0.004 0.984
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.4817 0.48494 0.612 0.388 0.000 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.6865 -0.01916 0.364 0.524 0.112 0.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.4992 -0.13273 0.000 0.524 0.476 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0336 0.91011 0.992 0.000 0.000 0.008
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.4836 0.25812 0.000 0.672 0.320 0.008
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.0336 0.93733 0.000 0.008 0.000 0.992
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 3 0.4790 0.31894 0.000 0.380 0.620 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.0336 0.93733 0.000 0.008 0.000 0.992
#> C8041089-E148-4B33-BBB7-9298B81A8832 4 0.0469 0.94217 0.012 0.000 0.000 0.988
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0469 0.90606 0.988 0.012 0.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0336 0.93733 0.000 0.008 0.000 0.992
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.1890 0.54932 0.008 0.936 0.056 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.0336 0.93733 0.000 0.008 0.000 0.992
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.5168 0.00942 0.504 0.000 0.004 0.492
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.5345 -0.01097 0.000 0.560 0.428 0.012
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.2255 0.84556 0.920 0.000 0.068 0.012
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0657 0.58623 0.000 0.004 0.984 0.012
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.0469 0.94217 0.012 0.000 0.000 0.988
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.4761 0.18463 0.000 0.628 0.372 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.91067 1.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.3688 0.73020 0.792 0.208 0.000 0.000
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.3370 0.83256 0.000 0.048 0.080 0.872
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0188 0.91037 0.996 0.000 0.004 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.5300 0.04827 0.000 0.580 0.408 0.012
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.0376 0.90968 0.992 0.004 0.004 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.0469 0.94217 0.012 0.000 0.000 0.988
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0469 0.94217 0.012 0.000 0.000 0.988
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.4731 0.46800 0.000 0.060 0.780 0.160
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.91067 1.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 1 0.4941 0.40510 0.564 0.436 0.000 0.000
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.6701 0.24122 0.000 0.328 0.108 0.564
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0336 0.91011 0.992 0.000 0.000 0.008
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.3024 0.80990 0.148 0.000 0.000 0.852
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0469 0.94217 0.012 0.000 0.000 0.988
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 3 0.4999 0.19671 0.000 0.492 0.508 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 3 0.4998 0.20446 0.000 0.488 0.512 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0336 0.91011 0.992 0.000 0.000 0.008
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 4 0.0657 0.94132 0.012 0.000 0.004 0.984
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.91067 1.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.0188 0.94140 0.004 0.000 0.000 0.996
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.1938 0.57119 0.000 0.052 0.936 0.012
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0707 0.54396 0.000 0.980 0.020 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.1890 0.54932 0.008 0.936 0.056 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0336 0.91011 0.992 0.000 0.000 0.008
#> DC33C2B1-27D4-4997-AAFD-633162F52895 3 0.5409 0.18947 0.000 0.492 0.496 0.012
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0524 0.90913 0.988 0.000 0.004 0.008
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.4134 0.36385 0.000 0.740 0.260 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 3 0.4635 0.44319 0.000 0.268 0.720 0.012
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.2149 0.55466 0.000 0.088 0.912 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 4 0.7117 -0.14507 0.000 0.424 0.128 0.448
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0524 0.90913 0.988 0.000 0.004 0.008
#> B0245553-F100-4235-BFC2-AB908C42E401 4 0.0657 0.94132 0.012 0.000 0.004 0.984
#> F42EDEA7-271C-4A65-8113-62FA64424535 4 0.0336 0.93733 0.000 0.008 0.000 0.992
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.4857 0.25118 0.000 0.668 0.324 0.008
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.0592 0.58580 0.000 0.000 0.984 0.016
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.91067 1.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 3 0.4998 0.20446 0.000 0.488 0.512 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 3 0.4817 0.32425 0.000 0.388 0.612 0.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0188 0.54894 0.000 0.996 0.004 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0336 0.58770 0.000 0.000 0.992 0.008
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 4 0.3754 0.81099 0.000 0.064 0.084 0.852
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0000 0.58889 0.000 0.000 1.000 0.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.6607 0.20632 0.000 0.516 0.084 0.400
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.0336 0.93733 0.000 0.008 0.000 0.992
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.4072 0.37445 0.000 0.748 0.252 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.0469 0.58676 0.000 0.000 0.988 0.012
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.0188 0.94040 0.000 0.000 0.004 0.996
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.0469 0.94217 0.012 0.000 0.000 0.988
#> 157390D2-EE7A-4EED-A445-2764163EF70A 3 0.5295 0.20038 0.000 0.488 0.504 0.008
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.4164 0.32898 0.000 0.264 0.736 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.5607 -0.19216 0.000 0.492 0.488 0.020
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 2 0.6599 0.18353 0.000 0.488 0.080 0.432
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.0469 0.94217 0.012 0.000 0.000 0.988
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.0000 0.94049 0.000 0.000 0.000 1.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.6600 0.20950 0.000 0.520 0.084 0.396
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.4989 -0.11447 0.000 0.528 0.472 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.0336 0.93733 0.000 0.008 0.000 0.992
#> A8AE6F61-125B-4103-9F45-3F4C86234826 4 0.0469 0.94217 0.012 0.000 0.000 0.988
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0188 0.58841 0.000 0.000 0.996 0.004
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 4 0.0469 0.94217 0.012 0.000 0.000 0.988
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.0592 0.58770 0.000 0.016 0.984 0.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.1890 0.89420 0.000 0.008 0.056 0.936
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 4 0.0657 0.94132 0.012 0.000 0.004 0.984
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 4 0.0469 0.94217 0.012 0.000 0.000 0.988
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.4955 -0.08290 0.000 0.556 0.444 0.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 1 0.0817 0.89914 0.976 0.024 0.000 0.000
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 3 0.7304 0.17334 0.000 0.152 0.448 0.400
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.0524 0.90913 0.988 0.000 0.004 0.008
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#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.1452 0.55179 0.008 0.956 0.036 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.2760 0.49333 0.000 0.872 0.128 0.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.4830 0.02514 0.000 0.608 0.392 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 1 0.5800 0.38315 0.548 0.420 0.032 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0469 0.94217 0.012 0.000 0.000 0.988
#> 002A3E61-7200-4B45-9704-6A9360233390 4 0.0000 0.94049 0.000 0.000 0.000 1.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.0469 0.94217 0.012 0.000 0.000 0.988
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 3 0.4985 0.23304 0.000 0.468 0.532 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.5943 0.27954 0.000 0.048 0.592 0.360
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0804 0.54756 0.008 0.980 0.012 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.91067 1.000 0.000 0.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0469 0.94217 0.012 0.000 0.000 0.988
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.2412 0.51903 0.008 0.908 0.084 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.1740 0.8591 0.000 0.932 0.000 0.056 0.012
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.5664 0.4544 0.008 0.640 0.036 0.284 0.032
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.1012 0.9425 0.000 0.020 0.012 0.000 0.968
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.2051 0.9235 0.008 0.012 0.036 0.932 0.012
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.2386 0.9182 0.008 0.012 0.048 0.916 0.016
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 5 0.1270 0.9234 0.052 0.000 0.000 0.000 0.948
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 5 0.1082 0.9334 0.008 0.000 0.028 0.000 0.964
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.1082 0.8838 0.000 0.964 0.028 0.000 0.008
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0510 0.8860 0.000 0.984 0.000 0.000 0.016
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.0771 0.9341 0.000 0.004 0.000 0.976 0.020
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 3 0.4557 -0.0102 0.000 0.476 0.516 0.000 0.008
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.1026 0.9317 0.000 0.004 0.004 0.968 0.024
#> C8041089-E148-4B33-BBB7-9298B81A8832 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0609 0.9349 0.000 0.000 0.000 0.980 0.020
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.1281 0.9422 0.000 0.032 0.012 0.000 0.956
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.1153 0.9302 0.000 0.004 0.008 0.964 0.024
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.2696 0.8997 0.900 0.012 0.032 0.052 0.004
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0671 0.8867 0.000 0.980 0.004 0.000 0.016
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.4059 0.8104 0.816 0.116 0.048 0.008 0.012
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.2625 0.8548 0.000 0.108 0.876 0.000 0.016
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.0865 0.9357 0.000 0.004 0.024 0.972 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.5512 0.5231 0.000 0.620 0.276 0.000 0.104
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 5 0.3109 0.7646 0.200 0.000 0.000 0.000 0.800
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.4339 0.5844 0.000 0.296 0.000 0.684 0.020
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.2284 0.9250 0.920 0.020 0.044 0.004 0.012
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0798 0.8866 0.000 0.976 0.008 0.000 0.016
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.1651 0.9392 0.944 0.012 0.036 0.000 0.008
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.0510 0.9377 0.000 0.000 0.016 0.984 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0162 0.9380 0.000 0.000 0.000 0.996 0.004
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.4281 0.7429 0.000 0.204 0.756 0.012 0.028
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> 2A08011A-E15E-4754-B560-4637EF3A446B 5 0.1197 0.9265 0.048 0.000 0.000 0.000 0.952
#> 333F9855-9462-46B8-87C8-E9B01572C101 2 0.2040 0.8603 0.000 0.928 0.032 0.008 0.032
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.1116 0.9481 0.964 0.004 0.028 0.000 0.004
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.4274 0.7594 0.176 0.012 0.032 0.776 0.004
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0162 0.9380 0.000 0.000 0.000 0.996 0.004
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.1121 0.8771 0.000 0.956 0.044 0.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0880 0.8823 0.000 0.968 0.032 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 4 0.0162 0.9384 0.000 0.004 0.000 0.996 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.0162 0.9380 0.000 0.000 0.000 0.996 0.004
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.2777 0.8450 0.000 0.120 0.864 0.000 0.016
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.2280 0.8239 0.000 0.880 0.000 0.000 0.120
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.1281 0.9422 0.000 0.032 0.012 0.000 0.956
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.9591 1.000 0.000 0.000 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0566 0.8870 0.000 0.984 0.012 0.000 0.004
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.1856 0.9358 0.940 0.012 0.032 0.008 0.008
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.3242 0.8104 0.000 0.844 0.040 0.000 0.116
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.2864 0.8135 0.000 0.864 0.112 0.000 0.024
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.1195 0.9088 0.000 0.028 0.960 0.000 0.012
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.1626 0.8666 0.000 0.940 0.000 0.044 0.016
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0566 0.9555 0.984 0.000 0.012 0.000 0.004
#> B0245553-F100-4235-BFC2-AB908C42E401 4 0.1644 0.9283 0.008 0.012 0.028 0.948 0.004
#> F42EDEA7-271C-4A65-8113-62FA64424535 4 0.0290 0.9375 0.000 0.000 0.000 0.992 0.008
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0510 0.8860 0.000 0.984 0.000 0.000 0.016
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.2784 0.8168 0.000 0.108 0.872 0.004 0.016
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.1608 0.8610 0.000 0.928 0.072 0.000 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.4437 0.5569 0.000 0.664 0.316 0.000 0.020
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.3305 0.7086 0.000 0.776 0.000 0.000 0.224
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.1281 0.9060 0.000 0.032 0.956 0.000 0.012
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.2597 0.8215 0.000 0.884 0.000 0.092 0.024
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0880 0.9102 0.000 0.032 0.968 0.000 0.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.1329 0.8682 0.000 0.956 0.032 0.004 0.008
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.0609 0.9349 0.000 0.000 0.000 0.980 0.020
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.3055 0.7953 0.000 0.840 0.016 0.000 0.144
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.2280 0.8392 0.000 0.120 0.880 0.000 0.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.1278 0.9308 0.000 0.004 0.016 0.960 0.020
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.0865 0.9374 0.000 0.000 0.024 0.972 0.004
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0404 0.8867 0.000 0.988 0.012 0.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.1331 0.8864 0.000 0.008 0.952 0.000 0.040
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0579 0.8869 0.000 0.984 0.008 0.000 0.008
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 2 0.1612 0.8702 0.000 0.948 0.024 0.012 0.016
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.0162 0.9380 0.000 0.000 0.000 0.996 0.004
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.0290 0.9375 0.000 0.000 0.000 0.992 0.008
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.1243 0.8700 0.000 0.960 0.028 0.004 0.008
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.1082 0.8838 0.000 0.964 0.028 0.000 0.008
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.1059 0.9315 0.000 0.008 0.004 0.968 0.020
#> A8AE6F61-125B-4103-9F45-3F4C86234826 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.1281 0.9060 0.000 0.032 0.956 0.000 0.012
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 4 0.0162 0.9381 0.000 0.000 0.004 0.996 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.0963 0.9102 0.000 0.036 0.964 0.000 0.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.2103 0.8978 0.000 0.056 0.004 0.920 0.020
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 4 0.2051 0.9235 0.008 0.012 0.036 0.932 0.012
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 4 0.1729 0.9267 0.008 0.012 0.032 0.944 0.004
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.1082 0.8838 0.000 0.964 0.028 0.000 0.008
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 1 0.1041 0.9471 0.964 0.000 0.004 0.000 0.032
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 2 0.1982 0.8712 0.000 0.932 0.028 0.012 0.028
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.1729 0.9383 0.944 0.012 0.032 0.004 0.008
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.1569 0.9405 0.948 0.012 0.032 0.000 0.008
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> 7465251E-7BC8-4179-8950-4E41836CF36B 5 0.1281 0.9422 0.000 0.032 0.012 0.000 0.956
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.0955 0.9499 0.968 0.000 0.028 0.000 0.004
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0798 0.8869 0.000 0.976 0.008 0.000 0.016
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 4 0.0290 0.9375 0.000 0.000 0.000 0.992 0.008
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.2171 0.8499 0.008 0.928 0.032 0.020 0.012
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.1364 0.9081 0.000 0.036 0.952 0.000 0.012
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 3 0.3630 0.7585 0.000 0.204 0.780 0.000 0.016
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.1331 0.8711 0.000 0.952 0.000 0.040 0.008
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 4 0.2707 0.8694 0.000 0.080 0.008 0.888 0.024
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.0880 0.9102 0.000 0.032 0.968 0.000 0.000
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 5 0.1270 0.9234 0.052 0.000 0.000 0.000 0.948
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.0880 0.9102 0.000 0.032 0.968 0.000 0.000
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.5479 0.3500 0.588 0.012 0.032 0.360 0.008
#> B54317C9-8704-42A6-BE96-E12855874596 3 0.1041 0.9095 0.000 0.032 0.964 0.000 0.004
#> 759B6273-634D-4145-AA95-452D628BF100 4 0.2101 0.9275 0.008 0.020 0.024 0.932 0.016
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0566 0.8870 0.000 0.984 0.012 0.000 0.004
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 4 0.1644 0.9283 0.008 0.012 0.028 0.948 0.004
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 2 0.5893 0.4501 0.004 0.628 0.276 0.060 0.032
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 4 0.1729 0.9267 0.008 0.012 0.032 0.944 0.004
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 4 0.4789 0.3637 0.000 0.392 0.000 0.584 0.024
#> A6177818-114B-437B-9928-A6747A788109 4 0.1016 0.9355 0.008 0.012 0.004 0.972 0.004
#> E7064800-48FD-492A-A074-84A0B2452445 3 0.3630 0.7585 0.000 0.204 0.780 0.000 0.016
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.3388 0.7408 0.000 0.792 0.200 0.000 0.008
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0000 0.9591 1.000 0.000 0.000 0.000 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.1732 0.8556 0.000 0.920 0.080 0.000 0.000
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.0963 0.9102 0.000 0.036 0.964 0.000 0.000
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 4 0.0609 0.9349 0.000 0.000 0.000 0.980 0.020
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000
#> EB235E9A-E453-4108-AD4F-31260F4340A6 1 0.1569 0.9405 0.948 0.012 0.032 0.000 0.008
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 1 0.2958 0.8859 0.888 0.012 0.032 0.060 0.008
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 5 0.1281 0.9342 0.000 0.032 0.012 0.000 0.956
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.0740 0.9539 0.980 0.000 0.008 0.008 0.004
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 4 0.1517 0.9356 0.004 0.012 0.004 0.952 0.028
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 3 0.2773 0.7650 0.000 0.000 0.836 0.000 0.164
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 3 0.1341 0.8995 0.000 0.056 0.944 0.000 0.000
#> 94128D59-A5BB-4460-A671-5E1571726C4D 2 0.0912 0.8867 0.000 0.972 0.012 0.000 0.016
#> 12BE2E3A-1B57-4EEE-B130-E70B6BE5A96B 1 0.2227 0.9231 0.924 0.012 0.032 0.028 0.004
#> 66600553-0E68-405C-81A3-4064DA18737D 3 0.1364 0.9081 0.000 0.036 0.952 0.000 0.012
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#> 0A3AB174-07D0-4396-A6C5-9ECEEBE8651C 4 0.1256 0.9335 0.008 0.012 0.012 0.964 0.004
#> 86ACC3DD-A9E8-4FDA-ACF9-33175CE06629 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> A3150223-5399-4CC6-90A7-6046F39FAC3E 2 0.0566 0.8866 0.000 0.984 0.004 0.000 0.012
#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 4 0.1644 0.9283 0.008 0.012 0.028 0.948 0.004
#> 99D8A9E2-773C-4142-9A93-5F749961F712 4 0.1644 0.9283 0.008 0.012 0.028 0.948 0.004
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 3 0.0880 0.9102 0.000 0.032 0.968 0.000 0.000
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 5 0.0880 0.9349 0.032 0.000 0.000 0.000 0.968
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 4 0.1729 0.9267 0.008 0.012 0.032 0.944 0.004
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 2 0.4552 0.1753 0.000 0.524 0.468 0.000 0.008
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 2 0.5188 0.4779 0.304 0.644 0.028 0.000 0.024
#> 14003AA2-81B6-4143-98AD-124903BAE56B 4 0.0162 0.9380 0.000 0.000 0.000 0.996 0.004
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0510 0.8860 0.000 0.984 0.000 0.000 0.016
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.0992 0.8739 0.000 0.968 0.024 0.000 0.008
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.3391 0.7514 0.000 0.800 0.188 0.000 0.012
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 5 0.0880 0.9349 0.032 0.000 0.000 0.000 0.968
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 2 0.2002 0.8694 0.000 0.932 0.020 0.020 0.028
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 4 0.1856 0.9252 0.008 0.012 0.032 0.940 0.008
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 5 0.1012 0.9372 0.020 0.000 0.012 0.000 0.968
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.1364 0.9081 0.000 0.036 0.952 0.000 0.012
#> 420503AA-3799-4816-BEEC-0B4D05988D38 5 0.1195 0.9423 0.000 0.028 0.012 0.000 0.960
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0566 0.9555 0.984 0.000 0.012 0.000 0.004
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 5 0.1121 0.9394 0.000 0.044 0.000 0.000 0.956
#> E1F863F8-90F0-402C-8433-95F522DDCE63 4 0.0609 0.9373 0.000 0.000 0.020 0.980 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.2227 0.9231 0.924 0.012 0.032 0.028 0.004
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 5 0.0963 0.9421 0.000 0.036 0.000 0.000 0.964
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 4 0.1074 0.9367 0.000 0.012 0.016 0.968 0.004
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.4367 0.4480 0.000 0.620 0.372 0.000 0.008
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0703 0.8850 0.000 0.976 0.024 0.000 0.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0566 0.8870 0.000 0.984 0.012 0.000 0.004
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> B232056E-59B2-4D05-983D-8740D6994A71 5 0.1106 0.9427 0.000 0.024 0.012 0.000 0.964
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.4559 0.1316 0.000 0.512 0.480 0.000 0.008
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0566 0.8870 0.000 0.984 0.012 0.000 0.004
#> 000F8487-E841-4370-B958-85AB3A6D88F9 3 0.1522 0.9049 0.000 0.044 0.944 0.000 0.012
#> B822A426-98C1-4976-9FC2-16347992AD78 3 0.4707 0.3950 0.000 0.392 0.588 0.000 0.020
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0566 0.8870 0.000 0.984 0.012 0.000 0.004
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0960 0.9517 0.972 0.000 0.016 0.008 0.004
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0955 0.8844 0.000 0.968 0.028 0.000 0.004
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.0880 0.9102 0.000 0.032 0.968 0.000 0.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 5 0.1121 0.9394 0.000 0.044 0.000 0.000 0.956
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.1364 0.9081 0.000 0.036 0.952 0.000 0.012
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 4 0.4905 0.5000 0.000 0.344 0.008 0.624 0.024
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.1729 0.9267 0.008 0.012 0.032 0.944 0.004
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.1095 0.8846 0.000 0.968 0.012 0.008 0.012
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 4 0.0290 0.9375 0.000 0.000 0.000 0.992 0.008
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0510 0.8864 0.000 0.984 0.016 0.000 0.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 4 0.3547 0.8509 0.008 0.108 0.032 0.844 0.008
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 5 0.1012 0.9372 0.020 0.000 0.012 0.000 0.968
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.4219 0.6716 0.000 0.260 0.716 0.000 0.024
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.1270 0.8723 0.000 0.948 0.000 0.000 0.052
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 2 0.2892 0.8321 0.008 0.896 0.024 0.040 0.032
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.4015 0.6362 0.724 0.004 0.008 0.000 0.264
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 5 0.1121 0.9278 0.044 0.000 0.000 0.000 0.956
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.0162 0.9380 0.000 0.000 0.000 0.996 0.004
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 4 0.2282 0.9186 0.008 0.012 0.048 0.920 0.012
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.1729 0.9378 0.944 0.012 0.032 0.008 0.004
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 4 0.0290 0.9375 0.000 0.000 0.000 0.992 0.008
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 2 0.2318 0.8524 0.008 0.916 0.052 0.004 0.020
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 3 0.4211 0.4205 0.000 0.004 0.636 0.000 0.360
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.1569 0.9405 0.948 0.012 0.032 0.000 0.008
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.3274 0.7147 0.000 0.780 0.000 0.000 0.220
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.0162 0.9380 0.000 0.000 0.000 0.996 0.004
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.1121 0.8744 0.000 0.956 0.000 0.000 0.044
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 4 0.1960 0.9247 0.008 0.016 0.032 0.936 0.008
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 4 0.2758 0.8967 0.008 0.012 0.084 0.888 0.008
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.0609 0.9349 0.000 0.000 0.000 0.980 0.020
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 4 0.5887 0.3731 0.008 0.388 0.028 0.544 0.032
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.1043 0.8790 0.000 0.960 0.040 0.000 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0451 0.9600 0.988 0.000 0.004 0.000 0.008
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.1121 0.9394 0.000 0.044 0.000 0.000 0.956
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.0771 0.9340 0.000 0.004 0.000 0.976 0.020
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 5 0.1121 0.9394 0.000 0.044 0.000 0.000 0.956
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.1195 0.9088 0.000 0.028 0.960 0.000 0.012
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.1106 0.8822 0.000 0.964 0.012 0.000 0.024
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 5 0.0880 0.9349 0.032 0.000 0.000 0.000 0.968
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 4 0.1710 0.9195 0.000 0.020 0.012 0.944 0.024
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.1270 0.8723 0.000 0.948 0.000 0.000 0.052
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0609 0.8860 0.000 0.980 0.000 0.000 0.020
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.5124 0.7235 0.732 0.116 0.136 0.004 0.012
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0671 0.8864 0.000 0.980 0.016 0.000 0.004
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 4 0.1729 0.9267 0.008 0.012 0.032 0.944 0.004
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.1195 0.9088 0.000 0.028 0.960 0.000 0.012
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.0162 0.9380 0.000 0.000 0.000 0.996 0.004
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.1281 0.9422 0.000 0.032 0.012 0.000 0.956
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.6158 0.2003 0.008 0.440 0.040 0.480 0.032
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0566 0.8870 0.000 0.984 0.012 0.000 0.004
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 4 0.0727 0.9374 0.004 0.012 0.004 0.980 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.4538 0.2284 0.000 0.540 0.452 0.000 0.008
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.1774 0.9017 0.000 0.052 0.932 0.000 0.016
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.1557 0.9018 0.000 0.052 0.940 0.000 0.008
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.1364 0.9081 0.000 0.036 0.952 0.000 0.012
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.0609 0.9349 0.000 0.000 0.000 0.980 0.020
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.0162 0.9380 0.000 0.000 0.000 0.996 0.004
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.1729 0.9267 0.008 0.012 0.032 0.944 0.004
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.0671 0.9374 0.000 0.004 0.016 0.980 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.4559 0.1316 0.000 0.512 0.480 0.000 0.008
#> C958FCED-BB40-4823-B839-6A31C6988A32 4 0.0613 0.9377 0.008 0.004 0.004 0.984 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.4546 0.2022 0.000 0.532 0.460 0.000 0.008
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.1644 0.9283 0.008 0.012 0.028 0.948 0.004
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 3 0.1444 0.9071 0.000 0.040 0.948 0.000 0.012
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.1364 0.9081 0.000 0.036 0.952 0.000 0.012
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0963 0.9102 0.000 0.036 0.964 0.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 5 0.1121 0.9394 0.000 0.044 0.000 0.000 0.956
#> 57373041-9D22-4DB1-AA56-97733339391B 4 0.5047 0.5789 0.284 0.012 0.032 0.668 0.004
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.1331 0.8864 0.000 0.008 0.952 0.000 0.040
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 4 0.0000 0.9382 0.000 0.000 0.000 1.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0290 0.9606 0.992 0.000 0.000 0.000 0.008
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.1041 0.9095 0.000 0.032 0.964 0.000 0.004
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.1364 0.9081 0.000 0.036 0.952 0.000 0.012
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 4 0.1729 0.9267 0.008 0.012 0.032 0.944 0.004
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.5369 0.3310 0.000 0.552 0.060 0.000 0.388
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.0609 0.9349 0.000 0.000 0.000 0.980 0.020
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0566 0.8870 0.000 0.984 0.012 0.000 0.004
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.1121 0.9394 0.000 0.044 0.000 0.000 0.956
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.1121 0.8771 0.000 0.956 0.000 0.000 0.044
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.2573 0.8333 0.000 0.880 0.104 0.000 0.016
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 5 0.1282 0.9272 0.044 0.000 0.004 0.000 0.952
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0290 0.9381 0.000 0.000 0.008 0.992 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 4 0.0162 0.9380 0.000 0.000 0.000 0.996 0.004
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.1729 0.9267 0.008 0.012 0.032 0.944 0.004
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.3391 0.7565 0.000 0.800 0.188 0.000 0.012
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.7280 0.2819 0.008 0.204 0.460 0.304 0.024
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 5 0.3774 0.5847 0.000 0.296 0.000 0.000 0.704
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0451 0.9600 0.988 0.000 0.004 0.000 0.008
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0162 0.9380 0.000 0.000 0.000 0.996 0.004
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.1430 0.8718 0.000 0.944 0.004 0.000 0.052
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.2632 0.7179 0.000 0.832 0.000 0.000 0.004 0.164
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 6 0.3215 0.5181 0.000 0.240 0.004 0.000 0.000 0.756
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.0508 0.9150 0.012 0.004 0.000 0.000 0.984 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.8634 1.000 0.000 0.000 0.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 6 0.3302 0.4816 0.000 0.004 0.004 0.232 0.000 0.760
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 6 0.3329 0.4771 0.000 0.004 0.004 0.236 0.000 0.756
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 5 0.1245 0.9086 0.032 0.000 0.000 0.000 0.952 0.016
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 5 0.3134 0.7939 0.016 0.000 0.012 0.000 0.824 0.148
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#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 6 0.4455 0.4463 0.000 0.000 0.076 0.240 0.000 0.684
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#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0146 0.8299 0.000 0.000 0.996 0.000 0.004 0.000
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#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.0000 0.7314 0.000 0.000 0.000 1.000 0.000 0.000
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#> 73D9833A-5E24-47D9-B193-22A66A282669 6 0.3215 0.5205 0.000 0.240 0.004 0.000 0.000 0.756
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0790 0.7971 0.000 0.968 0.000 0.000 0.000 0.032
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 4 0.2854 0.5784 0.000 0.000 0.000 0.792 0.000 0.208
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.0858 0.8544 0.968 0.000 0.000 0.000 0.004 0.028
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#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.3829 0.7044 0.000 0.124 0.792 0.000 0.012 0.072
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0146 0.8299 0.000 0.000 0.996 0.000 0.004 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.3121 0.6456 0.000 0.012 0.000 0.804 0.004 0.180
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.0000 0.7314 0.000 0.000 0.000 1.000 0.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.3789 0.2685 0.000 0.000 0.000 0.584 0.000 0.416
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.0000 0.7314 0.000 0.000 0.000 1.000 0.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.5734 0.2417 0.000 0.476 0.416 0.000 0.036 0.072
#> C958FCED-BB40-4823-B839-6A31C6988A32 4 0.1387 0.7026 0.000 0.000 0.000 0.932 0.000 0.068
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.5734 0.2417 0.000 0.476 0.416 0.000 0.036 0.072
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.3409 0.4695 0.000 0.000 0.000 0.700 0.000 0.300
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 3 0.0692 0.8264 0.000 0.020 0.976 0.000 0.000 0.004
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.2992 0.7723 0.000 0.032 0.864 0.000 0.032 0.072
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 4 0.1267 0.7088 0.000 0.000 0.000 0.940 0.000 0.060
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.8634 1.000 0.000 0.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0146 0.8299 0.000 0.000 0.996 0.000 0.004 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0547 0.8674 0.980 0.000 0.000 0.000 0.000 0.020
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 5 0.1285 0.8773 0.000 0.052 0.000 0.000 0.944 0.004
#> 57373041-9D22-4DB1-AA56-97733339391B 4 0.5492 0.0929 0.132 0.000 0.000 0.492 0.000 0.376
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0260 0.8290 0.000 0.000 0.992 0.000 0.008 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.8634 1.000 0.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 4 0.0000 0.7314 0.000 0.000 0.000 1.000 0.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0405 0.8595 0.988 0.000 0.000 0.000 0.004 0.008
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0547 0.8674 0.980 0.000 0.000 0.000 0.000 0.020
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.2300 0.7886 0.000 0.000 0.856 0.000 0.000 0.144
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0146 0.8299 0.000 0.000 0.996 0.000 0.004 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 4 0.3672 0.3719 0.000 0.000 0.000 0.632 0.000 0.368
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.6426 0.4926 0.000 0.544 0.168 0.000 0.216 0.072
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.2584 0.6755 0.000 0.004 0.000 0.848 0.004 0.144
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0603 0.8001 0.000 0.980 0.004 0.000 0.000 0.016
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.0405 0.9127 0.000 0.008 0.000 0.000 0.988 0.004
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.2843 0.7563 0.000 0.848 0.000 0.000 0.036 0.116
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.3521 0.7613 0.000 0.832 0.060 0.000 0.036 0.072
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 5 0.1922 0.8948 0.024 0.000 0.012 0.000 0.924 0.040
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0000 0.7314 0.000 0.000 0.000 1.000 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 4 0.0547 0.7276 0.000 0.000 0.000 0.980 0.000 0.020
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.3695 0.3525 0.000 0.000 0.000 0.624 0.000 0.376
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.3939 0.6941 0.000 0.752 0.180 0.000 0.000 0.068
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 6 0.2796 0.5598 0.000 0.044 0.080 0.008 0.000 0.868
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 5 0.3975 0.3428 0.000 0.392 0.000 0.000 0.600 0.008
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.1267 0.8527 0.940 0.000 0.000 0.000 0.000 0.060
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0000 0.7314 0.000 0.000 0.000 1.000 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.5146 0.4325 0.000 0.616 0.000 0.000 0.148 0.236
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 17416 rows and 433 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 5.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.976 0.991 0.5016 0.499 0.499
#> 3 3 0.958 0.946 0.978 0.3131 0.741 0.528
#> 4 4 0.849 0.878 0.933 0.1271 0.853 0.605
#> 5 5 0.949 0.907 0.962 0.0665 0.892 0.623
#> 6 6 0.851 0.844 0.912 0.0482 0.898 0.575
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 5
#> attr(,"optional")
#> [1] 2 3
There is also optional best \(k\) = 2 3 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.4298 0.89844 0.088 0.912
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.0672 0.98288 0.008 0.992
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0000 0.99054 0.000 1.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.99138 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0000 0.99138 1.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.0000 0.99138 1.000 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 2 0.0000 0.99054 0.000 1.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.0000 0.99054 0.000 1.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.99054 0.000 1.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.99138 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.99054 0.000 1.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.0000 0.99138 1.000 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.99054 0.000 1.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.0000 0.99138 1.000 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.99138 1.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.99138 1.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0000 0.99138 1.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.99054 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.0000 0.99138 1.000 0.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.99138 1.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0000 0.99054 0.000 1.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.0000 0.99138 1.000 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.0000 0.99054 0.000 1.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.99138 1.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.99054 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.99138 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.9909 0.20166 0.444 0.556
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.2778 0.94243 0.048 0.952
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0000 0.99138 1.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.99054 0.000 1.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.0000 0.99138 1.000 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.99138 1.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.99138 1.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 2 0.0000 0.99054 0.000 1.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.99138 1.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.0000 0.99054 0.000 1.000
#> 333F9855-9462-46B8-87C8-E9B01572C101 2 0.8327 0.64147 0.264 0.736
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.99138 1.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.99138 1.000 0.000
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#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.99054 0.000 1.000
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#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.99138 1.000 0.000
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#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.99138 1.000 0.000
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#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.99054 0.000 1.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.99138 1.000 0.000
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#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 2 0.0000 0.99054 0.000 1.000
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.99054 0.000 1.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.5842 0.83225 0.860 0.140
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.1843 0.96388 0.972 0.028
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.0000 0.99054 0.000 1.000
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.99138 1.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.0000 0.99138 1.000 0.000
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.0000 0.99138 1.000 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.99138 1.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.0000 0.99138 1.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 2 0.0000 0.99054 0.000 1.000
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.0000 0.99054 0.000 1.000
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.99138 1.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.99138 1.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.99054 0.000 1.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.99138 1.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.99054 0.000 1.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.99138 1.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0000 0.99138 1.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0000 0.99138 1.000 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 1 0.0000 0.99138 1.000 0.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 1 0.0672 0.98374 0.992 0.008
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.99054 0.000 1.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0000 0.99138 1.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.99054 0.000 1.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.0000 0.99138 1.000 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.99054 0.000 1.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 2 0.0000 0.99054 0.000 1.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.99054 0.000 1.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 2 0.0000 0.99054 0.000 1.000
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.0000 0.99138 1.000 0.000
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.99054 0.000 1.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0000 0.99054 0.000 1.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.0000 0.99138 1.000 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.99054 0.000 1.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.99138 1.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.0000 0.99054 0.000 1.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.99138 1.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.99138 1.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.99138 1.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.99054 0.000 1.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.9996 0.04309 0.512 0.488
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.99054 0.000 1.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.99138 1.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.0000 0.99138 1.000 0.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 0.99054 0.000 1.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0000 0.99054 0.000 1.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0000 0.99054 0.000 1.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.0000 0.99054 0.000 1.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0000 0.99138 1.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.99138 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.99138 1.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.99138 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.99054 0.000 1.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.99138 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.99054 0.000 1.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.99138 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.99054 0.000 1.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0000 0.99054 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.99138 1.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.99138 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.0000 0.99054 0.000 1.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.99138 1.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.99054 0.000 1.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.99138 1.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.0000 0.99054 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.99138 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0000 0.99138 1.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0000 0.99138 1.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.99138 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.0000 0.99054 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.0000 0.99054 0.000 1.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.99138 1.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.99054 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.99138 1.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.99054 0.000 1.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.99054 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.0000 0.99054 0.000 1.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.99054 0.000 1.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.0000 0.99054 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.99138 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.99138 1.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.99138 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.99054 0.000 1.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.9896 0.21127 0.560 0.440
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.99054 0.000 1.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.99138 1.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.99138 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.99054 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 1 0.0000 0.9684 1.000 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.0424 0.9609 0.992 0.008 0.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0000 0.9859 0.000 1.000 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 3 0.0000 0.9712 0.000 0.000 1.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 3 0.1529 0.9360 0.040 0.000 0.960
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.4931 0.6890 0.768 0.000 0.232
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.0000 0.9712 0.000 0.000 1.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.3941 0.8140 0.000 0.156 0.844
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.9859 0.000 1.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 3 0.0000 0.9712 0.000 0.000 1.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9859 0.000 1.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.0000 0.9684 1.000 0.000 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.9859 0.000 1.000 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.0000 0.9684 1.000 0.000 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9684 1.000 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 3 0.0000 0.9712 0.000 0.000 1.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0000 0.9684 1.000 0.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.9859 0.000 1.000 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.0000 0.9684 1.000 0.000 0.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 3 0.3752 0.8194 0.144 0.000 0.856
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0000 0.9859 0.000 1.000 0.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.0000 0.9712 0.000 0.000 1.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.0000 0.9859 0.000 1.000 0.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.9684 1.000 0.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.9859 0.000 1.000 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 3 0.0000 0.9712 0.000 0.000 1.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 3 0.0000 0.9712 0.000 0.000 1.000
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 1 0.0000 0.9684 1.000 0.000 0.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.0000 0.9712 0.000 0.000 1.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.9859 0.000 1.000 0.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 3 0.0000 0.9712 0.000 0.000 1.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.9684 1.000 0.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.9684 1.000 0.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 2 0.3116 0.8730 0.108 0.892 0.000
#> EE759127-DAA0-4281-AC47-880BC8563114 3 0.0000 0.9712 0.000 0.000 1.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.0000 0.9712 0.000 0.000 1.000
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.0000 0.9684 1.000 0.000 0.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 3 0.0000 0.9712 0.000 0.000 1.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.4121 0.7907 0.832 0.000 0.168
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.9684 1.000 0.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.9859 0.000 1.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9859 0.000 1.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 3 0.0000 0.9712 0.000 0.000 1.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.9684 1.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 3 0.0000 0.9712 0.000 0.000 1.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.9684 1.000 0.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.0000 0.9859 0.000 1.000 0.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.9859 0.000 1.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.9859 0.000 1.000 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 3 0.0000 0.9712 0.000 0.000 1.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.9859 0.000 1.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 3 0.0000 0.9712 0.000 0.000 1.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.9859 0.000 1.000 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.9859 0.000 1.000 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 2 0.0000 0.9859 0.000 1.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 1 0.0000 0.9684 1.000 0.000 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 3 0.0000 0.9712 0.000 0.000 1.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.9684 1.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.0000 0.9684 1.000 0.000 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.9859 0.000 1.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 2 0.4110 0.8127 0.152 0.844 0.004
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 3 0.0000 0.9712 0.000 0.000 1.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.9859 0.000 1.000 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.0000 0.9859 0.000 1.000 0.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.9859 0.000 1.000 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 2 0.2625 0.8998 0.084 0.916 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 1 0.0000 0.9684 1.000 0.000 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 2 0.0000 0.9859 0.000 1.000 0.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 3 0.5291 0.6255 0.268 0.000 0.732
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 1 0.0000 0.9684 1.000 0.000 0.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.9859 0.000 1.000 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 2 0.0000 0.9859 0.000 1.000 0.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.0000 0.9684 1.000 0.000 0.000
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0000 0.9684 1.000 0.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.9859 0.000 1.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 2 0.0000 0.9859 0.000 1.000 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.9859 0.000 1.000 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 1 0.3816 0.8162 0.852 0.000 0.148
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0000 0.9684 1.000 0.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0000 0.9684 1.000 0.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 1 0.1860 0.9214 0.948 0.000 0.052
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.9859 0.000 1.000 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 1 0.0000 0.9684 1.000 0.000 0.000
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0000 0.9684 1.000 0.000 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 2 0.0000 0.9859 0.000 1.000 0.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0000 0.9684 1.000 0.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 2 0.0000 0.9859 0.000 1.000 0.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 1 0.0000 0.9684 1.000 0.000 0.000
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.5016 0.6854 0.760 0.000 0.240
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.0000 0.9684 1.000 0.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0000 0.9859 0.000 1.000 0.000
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#> 287690D7-7F42-4861-A884-98D5A7A4D18F 2 0.0000 0.9859 0.000 1.000 0.000
#> D1D1649A-7437-4F25-B86E-786A25B0ECBE 1 0.0000 0.9684 1.000 0.000 0.000
#> DAF737C4-DF51-4C8C-B263-91B00B09D8FC 3 0.0000 0.9712 0.000 0.000 1.000
#> A30417A9-2D50-4723-842A-45463DB534AD 1 0.0000 0.9684 1.000 0.000 0.000
#> 0B840B00-AFF7-4D0E-9815-FA2A893294C6 1 0.0000 0.9684 1.000 0.000 0.000
#> 32FC134E-6424-4517-9B0C-B2E487542EC3 1 0.0000 0.9684 1.000 0.000 0.000
#> 85363C3B-1793-4B41-8015-C5450C1D5428 1 0.0000 0.9684 1.000 0.000 0.000
#> A8574381-5644-4F7A-BDD7-C579A6398B70 3 0.1163 0.9481 0.000 0.028 0.972
#> 85BCE632-72B2-475A-8FE0-F045051B3CE5 3 0.0000 0.9712 0.000 0.000 1.000
#> 9972E418-EFEC-4AA6-AA83-98D79D74DFB4 1 0.0000 0.9684 1.000 0.000 0.000
#> 3F9403BF-0B47-40E4-8709-9DB0D218E607 1 0.0000 0.9684 1.000 0.000 0.000
#> E9595675-4155-43BB-8E68-FC59D55C62E6 1 0.0000 0.9684 1.000 0.000 0.000
#> 4B6DDD8E-AB89-4C9D-8D48-AD81B8FB4A31 2 0.0000 0.9859 0.000 1.000 0.000
#> EEDFA1F7-26D8-426A-93F5-43CCF0B3CF59 2 0.0000 0.9859 0.000 1.000 0.000
#> 2C26486A-A737-4B2F-9D98-28A700081CDA 2 0.0000 0.9859 0.000 1.000 0.000
#> 458FCE33-422D-4C4C-A9CF-ABFED8B19D4A 2 0.4974 0.6842 0.236 0.764 0.000
#> A66FCDA9-6775-4052-94C4-12E173DF4084 1 0.0000 0.9684 1.000 0.000 0.000
#> E3F52C71-F558-47C7-B956-BC79F98EFD5D 2 0.0000 0.9859 0.000 1.000 0.000
#> 82C75B87-33D1-4317-AC48-7043A3D677EC 2 0.0000 0.9859 0.000 1.000 0.000
#> E4DB5591-7C73-4792-B86F-3B2FB59C66BD 2 0.0000 0.9859 0.000 1.000 0.000
#> FEF62FF9-F25E-49A7-B1E4-84099D13A309 2 0.0000 0.9859 0.000 1.000 0.000
#> 3D6CE155-4E02-4739-A8C9-30981EA9B0B1 1 0.0000 0.9684 1.000 0.000 0.000
#> 0A3AB174-07D0-4396-A6C5-9ECEEBE8651C 1 0.0000 0.9684 1.000 0.000 0.000
#> 86ACC3DD-A9E8-4FDA-ACF9-33175CE06629 3 0.0000 0.9712 0.000 0.000 1.000
#> A3150223-5399-4CC6-90A7-6046F39FAC3E 2 0.0000 0.9859 0.000 1.000 0.000
#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 1 0.0000 0.9684 1.000 0.000 0.000
#> 99D8A9E2-773C-4142-9A93-5F749961F712 1 0.0000 0.9684 1.000 0.000 0.000
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 2 0.0000 0.9859 0.000 1.000 0.000
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 3 0.0000 0.9712 0.000 0.000 1.000
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 3 0.0000 0.9712 0.000 0.000 1.000
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 1 0.3619 0.8269 0.864 0.000 0.136
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 2 0.0000 0.9859 0.000 1.000 0.000
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 3 0.0000 0.9712 0.000 0.000 1.000
#> 14003AA2-81B6-4143-98AD-124903BAE56B 1 0.0000 0.9684 1.000 0.000 0.000
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.0000 0.9684 1.000 0.000 0.000
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0000 0.9859 0.000 1.000 0.000
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 1 0.6302 0.0969 0.520 0.480 0.000
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.0000 0.9859 0.000 1.000 0.000
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 3 0.0000 0.9712 0.000 0.000 1.000
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 1 0.4062 0.7950 0.836 0.164 0.000
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.0000 0.9684 1.000 0.000 0.000
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 3 0.0000 0.9712 0.000 0.000 1.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 2 0.5058 0.6675 0.000 0.756 0.244
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 2 0.0000 0.9859 0.000 1.000 0.000
#> 420503AA-3799-4816-BEEC-0B4D05988D38 2 0.0000 0.9859 0.000 1.000 0.000
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 3 0.0000 0.9712 0.000 0.000 1.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 3 0.0000 0.9712 0.000 0.000 1.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.0000 0.9859 0.000 1.000 0.000
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0000 0.9684 1.000 0.000 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 3 0.0592 0.9613 0.012 0.000 0.988
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 3 0.2165 0.9160 0.000 0.064 0.936
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 1 0.0000 0.9684 1.000 0.000 0.000
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.0000 0.9859 0.000 1.000 0.000
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.9859 0.000 1.000 0.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.9859 0.000 1.000 0.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 3 0.0000 0.9712 0.000 0.000 1.000
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.0000 0.9859 0.000 1.000 0.000
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.0000 0.9859 0.000 1.000 0.000
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0000 0.9859 0.000 1.000 0.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 2 0.0000 0.9859 0.000 1.000 0.000
#> B822A426-98C1-4976-9FC2-16347992AD78 2 0.0000 0.9859 0.000 1.000 0.000
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.9859 0.000 1.000 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 3 0.0000 0.9712 0.000 0.000 1.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.9859 0.000 1.000 0.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 2 0.0000 0.9859 0.000 1.000 0.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.0000 0.9859 0.000 1.000 0.000
#> E9894334-C852-4159-9FEB-40292B160CC1 2 0.0000 0.9859 0.000 1.000 0.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 1 0.0000 0.9684 1.000 0.000 0.000
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.0000 0.9684 1.000 0.000 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.6302 0.0658 0.480 0.520 0.000
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.0000 0.9684 1.000 0.000 0.000
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0000 0.9859 0.000 1.000 0.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 1 0.0000 0.9684 1.000 0.000 0.000
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 3 0.4654 0.7426 0.000 0.208 0.792
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 2 0.0000 0.9859 0.000 1.000 0.000
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.9859 0.000 1.000 0.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.0000 0.9684 1.000 0.000 0.000
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 3 0.0000 0.9712 0.000 0.000 1.000
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 3 0.0000 0.9712 0.000 0.000 1.000
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.9684 1.000 0.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.5016 0.6845 0.760 0.000 0.240
#> 197E34CA-EF43-495C-8AA4-858982333429 3 0.0000 0.9712 0.000 0.000 1.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 3 0.0000 0.9712 0.000 0.000 1.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.0000 0.9684 1.000 0.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 3 0.4654 0.7427 0.000 0.208 0.792
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.0000 0.9859 0.000 1.000 0.000
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 3 0.0000 0.9712 0.000 0.000 1.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 3 0.0000 0.9712 0.000 0.000 1.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.9859 0.000 1.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.9684 1.000 0.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.9859 0.000 1.000 0.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.9684 1.000 0.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.1163 0.9442 0.972 0.000 0.028
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0000 0.9684 1.000 0.000 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 1 0.0000 0.9684 1.000 0.000 0.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 1 0.0000 0.9684 1.000 0.000 0.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.9859 0.000 1.000 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 3 0.0000 0.9712 0.000 0.000 1.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.9859 0.000 1.000 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.0000 0.9684 1.000 0.000 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.2165 0.9209 0.000 0.936 0.064
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 2 0.0000 0.9859 0.000 1.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.9859 0.000 1.000 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.0000 0.9712 0.000 0.000 1.000
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.0000 0.9684 1.000 0.000 0.000
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 3 0.2448 0.9060 0.000 0.076 0.924
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0000 0.9859 0.000 1.000 0.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.0000 0.9712 0.000 0.000 1.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.9859 0.000 1.000 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.9684 1.000 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.0000 0.9859 0.000 1.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 3 0.0000 0.9712 0.000 0.000 1.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 3 0.0000 0.9712 0.000 0.000 1.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.9684 1.000 0.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.9859 0.000 1.000 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.0000 0.9684 1.000 0.000 0.000
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.9859 0.000 1.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.9684 1.000 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.0000 0.9712 0.000 0.000 1.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 0.9859 0.000 1.000 0.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0000 0.9859 0.000 1.000 0.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0000 0.9859 0.000 1.000 0.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.0000 0.9859 0.000 1.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0000 0.9684 1.000 0.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.9684 1.000 0.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.9684 1.000 0.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.9684 1.000 0.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.9859 0.000 1.000 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.9684 1.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.9859 0.000 1.000 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.9684 1.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.9859 0.000 1.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0000 0.9859 0.000 1.000 0.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.9684 1.000 0.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 3 0.0000 0.9712 0.000 0.000 1.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.0000 0.9859 0.000 1.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 3 0.0000 0.9712 0.000 0.000 1.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.9859 0.000 1.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.5968 0.4337 0.636 0.000 0.364
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.0000 0.9859 0.000 1.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 3 0.0000 0.9712 0.000 0.000 1.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0000 0.9684 1.000 0.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 3 0.0000 0.9712 0.000 0.000 1.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 3 0.0000 0.9712 0.000 0.000 1.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.0000 0.9859 0.000 1.000 0.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.0000 0.9859 0.000 1.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.9684 1.000 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.9859 0.000 1.000 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.9684 1.000 0.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.9859 0.000 1.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.9859 0.000 1.000 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.0592 0.9748 0.000 0.988 0.012
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.9859 0.000 1.000 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.9712 0.000 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.9684 1.000 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.9684 1.000 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.9684 1.000 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.9859 0.000 1.000 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.8415 0.4226 0.572 0.320 0.108
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.9859 0.000 1.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 3 0.0000 0.9712 0.000 0.000 1.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.9684 1.000 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 3 0.2165 0.9169 0.000 0.064 0.936
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.4888 0.380 0.000 0.588 0.000 0.412
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.4277 0.607 0.000 0.000 0.720 0.280
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0188 0.845 0.000 0.996 0.004 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.951 1.000 0.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.1389 0.907 0.952 0.000 0.000 0.048
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.3907 0.706 0.232 0.000 0.000 0.768
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.3610 0.803 0.800 0.200 0.000 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 1 0.7325 0.398 0.528 0.208 0.264 0.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.3688 0.829 0.000 0.792 0.208 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.951 1.000 0.000 0.000 0.000
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#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.847 0.000 1.000 0.000 0.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.0921 0.933 0.972 0.028 0.000 0.000
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 1 0.3688 0.796 0.792 0.208 0.000 0.000
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 4 0.4679 0.496 0.352 0.000 0.000 0.648
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.0000 0.951 1.000 0.000 0.000 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.951 1.000 0.000 0.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 3 0.7464 0.285 0.296 0.208 0.496 0.000
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 3 0.3688 0.715 0.000 0.208 0.792 0.000
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.951 1.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.951 1.000 0.000 0.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.847 0.000 1.000 0.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.847 0.000 1.000 0.000 0.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 4 0.1637 0.922 0.060 0.000 0.000 0.940
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 4 0.5040 0.417 0.008 0.000 0.364 0.628
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.3688 0.829 0.000 0.792 0.208 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0000 0.951 1.000 0.000 0.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.847 0.000 1.000 0.000 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.847 0.000 1.000 0.000 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.918 0.000 0.000 1.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.4977 0.394 0.000 0.540 0.460 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 1 0.3688 0.796 0.792 0.208 0.000 0.000
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.847 0.000 1.000 0.000 0.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0000 0.847 0.000 1.000 0.000 0.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.0188 0.948 0.996 0.000 0.004 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.3688 0.829 0.000 0.792 0.208 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.918 0.000 0.000 1.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.951 1.000 0.000 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.951 1.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.847 0.000 1.000 0.000 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.2011 0.891 0.000 0.000 0.080 0.920
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.3688 0.829 0.000 0.792 0.208 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.0000 0.951 1.000 0.000 0.000 0.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.3688 0.829 0.000 0.792 0.208 0.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.0000 0.918 0.000 0.000 1.000 0.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.0000 0.918 0.000 0.000 1.000 0.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.918 0.000 0.000 1.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.3688 0.829 0.000 0.792 0.208 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.3688 0.829 0.000 0.792 0.208 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 3 0.0000 0.918 0.000 0.000 1.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.0336 0.913 0.000 0.008 0.992 0.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.951 1.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.918 0.000 0.000 1.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.951 1.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.847 0.000 1.000 0.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 4 0.4134 0.674 0.260 0.000 0.000 0.740
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.3528 0.733 0.000 0.192 0.808 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.951 1.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0000 0.951 1.000 0.000 0.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.951 1.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0000 0.918 0.000 0.000 1.000 0.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.918 0.000 0.000 1.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 4 0.0188 0.971 0.004 0.000 0.000 0.996
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.847 0.000 1.000 0.000 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.3688 0.829 0.000 0.792 0.208 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.847 0.000 1.000 0.000 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.0000 0.847 0.000 1.000 0.000 0.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.1867 0.846 0.000 0.928 0.072 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 1 0.3831 0.797 0.792 0.204 0.004 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> 002A3E61-7200-4B45-9704-6A9360233390 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.0921 0.951 0.028 0.000 0.000 0.972
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.4500 0.698 0.000 0.684 0.316 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.0000 0.918 0.000 0.000 1.000 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.847 0.000 1.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.951 1.000 0.000 0.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0000 0.974 0.000 0.000 0.000 1.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.847 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.90914 0.000 1.000 0.000 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.4171 0.34583 0.000 0.000 0.604 0.396 0.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.0000 0.97244 0.000 0.000 0.000 0.000 1.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.4182 0.33932 0.600 0.000 0.000 0.400 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 5 0.0000 0.97244 0.000 0.000 0.000 0.000 1.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 5 0.0000 0.97244 0.000 0.000 0.000 0.000 1.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.90914 0.000 1.000 0.000 0.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.90914 0.000 1.000 0.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.4161 0.41718 0.000 0.608 0.392 0.000 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.0000 0.97244 0.000 0.000 0.000 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0000 0.90914 0.000 1.000 0.000 0.000 0.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0000 0.96652 0.000 0.000 1.000 0.000 0.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.4278 0.26319 0.000 0.548 0.000 0.000 0.452
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 5 0.3274 0.70719 0.220 0.000 0.000 0.000 0.780
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.4235 0.27234 0.000 0.424 0.000 0.576 0.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.90914 0.000 1.000 0.000 0.000 0.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.0000 0.96652 0.000 0.000 1.000 0.000 0.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 5 0.0000 0.97244 0.000 0.000 0.000 0.000 1.000
#> 333F9855-9462-46B8-87C8-E9B01572C101 2 0.0703 0.89256 0.000 0.976 0.000 0.024 0.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.1965 0.86842 0.904 0.000 0.000 0.096 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.90914 0.000 1.000 0.000 0.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.90914 0.000 1.000 0.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0000 0.96652 0.000 0.000 1.000 0.000 0.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.4268 0.28638 0.000 0.556 0.000 0.000 0.444
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.0000 0.97244 0.000 0.000 0.000 0.000 1.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.90914 0.000 1.000 0.000 0.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.4273 0.27432 0.000 0.552 0.000 0.000 0.448
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 3 0.0000 0.96652 0.000 0.000 1.000 0.000 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.96652 0.000 0.000 1.000 0.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0000 0.90914 0.000 1.000 0.000 0.000 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.90914 0.000 1.000 0.000 0.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.0000 0.96652 0.000 0.000 1.000 0.000 0.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.90914 0.000 1.000 0.000 0.000 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.3876 0.57487 0.000 0.684 0.316 0.000 0.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.4291 0.22761 0.000 0.536 0.000 0.000 0.464
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0000 0.96652 0.000 0.000 1.000 0.000 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.1671 0.84693 0.000 0.924 0.000 0.076 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0000 0.96652 0.000 0.000 1.000 0.000 0.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.3381 0.75506 0.176 0.808 0.000 0.000 0.016
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.4291 0.22749 0.000 0.536 0.000 0.000 0.464
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#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.0000 0.97244 0.000 0.000 0.000 0.000 1.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.0865 0.95102 0.000 0.004 0.024 0.972 0.000
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.90914 0.000 1.000 0.000 0.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.2929 0.77329 0.000 0.820 0.180 0.000 0.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.4060 0.38998 0.000 0.360 0.640 0.000 0.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.3480 0.63745 0.000 0.248 0.752 0.000 0.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.96652 0.000 0.000 1.000 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.3109 0.75076 0.000 0.800 0.200 0.000 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.2929 0.77329 0.000 0.820 0.180 0.000 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 3 0.0000 0.96652 0.000 0.000 1.000 0.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.0000 0.96652 0.000 0.000 1.000 0.000 0.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.96652 0.000 0.000 1.000 0.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 5 0.0000 0.97244 0.000 0.000 0.000 0.000 1.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.96652 0.000 0.000 1.000 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.3039 0.74653 0.808 0.000 0.000 0.000 0.192
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0000 0.96652 0.000 0.000 1.000 0.000 0.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.96652 0.000 0.000 1.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 4 0.0290 0.96917 0.008 0.000 0.000 0.992 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.0000 0.97244 0.000 0.000 0.000 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.90914 0.000 1.000 0.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.0000 0.97244 0.000 0.000 0.000 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.0000 0.97244 0.000 0.000 0.000 0.000 1.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.2773 0.78378 0.000 0.836 0.000 0.000 0.164
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 5 0.0609 0.95650 0.000 0.000 0.020 0.000 0.980
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.2891 0.77749 0.000 0.824 0.176 0.000 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.0000 0.96652 0.000 0.000 1.000 0.000 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 5 0.0000 0.97244 0.000 0.000 0.000 0.000 1.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.96743 1.000 0.000 0.000 0.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0000 0.97674 0.000 0.000 0.000 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 5 0.0000 0.97244 0.000 0.000 0.000 0.000 1.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 6 0.3351 0.5021 0.000 0.288 0.000 0.000 0.000 0.712
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 6 0.2509 0.7845 0.000 0.000 0.088 0.036 0.000 0.876
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.0000 0.9592 0.000 0.000 0.000 0.000 1.000 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.2996 0.6699 0.228 0.000 0.000 0.772 0.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.1219 0.8497 0.048 0.000 0.004 0.948 0.000 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 5 0.1444 0.8990 0.072 0.000 0.000 0.000 0.928 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 5 0.0000 0.9592 0.000 0.000 0.000 0.000 1.000 0.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.8755 0.000 1.000 0.000 0.000 0.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.2048 0.8611 0.000 0.880 0.000 0.000 0.000 0.120
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 6 0.2048 0.8093 0.000 0.000 0.000 0.120 0.000 0.880
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.1204 0.8523 0.000 0.944 0.056 0.000 0.000 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 6 0.2048 0.8093 0.000 0.000 0.000 0.120 0.000 0.880
#> C8041089-E148-4B33-BBB7-9298B81A8832 4 0.0260 0.8787 0.000 0.000 0.000 0.992 0.000 0.008
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 6 0.2048 0.8093 0.000 0.000 0.000 0.120 0.000 0.880
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.0000 0.9592 0.000 0.000 0.000 0.000 1.000 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 6 0.2994 0.7735 0.000 0.000 0.004 0.208 0.000 0.788
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 4 0.2941 0.6943 0.220 0.000 0.000 0.780 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.2106 0.8716 0.000 0.904 0.000 0.000 0.032 0.064
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0000 0.9670 0.000 0.000 1.000 0.000 0.000 0.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.1765 0.8541 0.000 0.000 0.000 0.904 0.000 0.096
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.1863 0.8251 0.000 0.896 0.000 0.000 0.104 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 5 0.2300 0.8267 0.144 0.000 0.000 0.000 0.856 0.000
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 6 0.1007 0.7993 0.000 0.000 0.000 0.044 0.000 0.956
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0458 0.9602 0.984 0.000 0.016 0.000 0.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.3270 0.8395 0.000 0.820 0.000 0.000 0.060 0.120
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.2135 0.8386 0.000 0.000 0.000 0.872 0.000 0.128
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.2793 0.7835 0.000 0.000 0.000 0.800 0.000 0.200
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.0000 0.9670 0.000 0.000 1.000 0.000 0.000 0.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 5 0.0146 0.9566 0.004 0.000 0.000 0.000 0.996 0.000
#> 333F9855-9462-46B8-87C8-E9B01572C101 6 0.2121 0.7426 0.000 0.096 0.000 0.012 0.000 0.892
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.3552 0.7787 0.116 0.000 0.000 0.800 0.000 0.084
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.2527 0.8134 0.000 0.000 0.000 0.832 0.000 0.168
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.8755 0.000 1.000 0.000 0.000 0.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.1075 0.8759 0.000 0.952 0.000 0.000 0.000 0.048
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 4 0.0000 0.8795 0.000 0.000 0.000 1.000 0.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.2823 0.7791 0.000 0.000 0.000 0.796 0.000 0.204
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.0000 0.9670 0.000 0.000 1.000 0.000 0.000 0.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.3487 0.7899 0.000 0.788 0.000 0.000 0.168 0.044
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.0000 0.9592 0.000 0.000 0.000 0.000 1.000 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.2048 0.8611 0.000 0.880 0.000 0.000 0.000 0.120
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.1814 0.8279 0.000 0.900 0.000 0.000 0.100 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 3 0.0000 0.9670 0.000 0.000 1.000 0.000 0.000 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0146 0.9666 0.000 0.004 0.996 0.000 0.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 6 0.2491 0.6655 0.000 0.164 0.000 0.000 0.000 0.836
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 4 0.0000 0.8795 0.000 0.000 0.000 1.000 0.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 6 0.2562 0.7935 0.000 0.000 0.000 0.172 0.000 0.828
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.1714 0.8686 0.000 0.908 0.000 0.000 0.000 0.092
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.0000 0.9670 0.000 0.000 1.000 0.000 0.000 0.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.8755 0.000 1.000 0.000 0.000 0.000 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.1124 0.8627 0.000 0.956 0.036 0.000 0.000 0.008
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.3483 0.7480 0.000 0.764 0.000 0.000 0.212 0.024
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0000 0.9670 0.000 0.000 1.000 0.000 0.000 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 6 0.2416 0.6749 0.000 0.156 0.000 0.000 0.000 0.844
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0000 0.9670 0.000 0.000 1.000 0.000 0.000 0.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.7867 0.1298 0.204 0.296 0.000 0.008 0.216 0.276
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 6 0.2048 0.8093 0.000 0.000 0.000 0.120 0.000 0.880
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.1863 0.8251 0.000 0.896 0.000 0.000 0.104 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.0000 0.9670 0.000 0.000 1.000 0.000 0.000 0.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.3710 0.4810 0.000 0.000 0.012 0.696 0.000 0.292
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.2416 0.8215 0.000 0.000 0.000 0.844 0.000 0.156
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.2048 0.8611 0.000 0.880 0.000 0.000 0.000 0.120
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0146 0.9666 0.000 0.004 0.996 0.000 0.000 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.2048 0.8611 0.000 0.880 0.000 0.000 0.000 0.120
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 6 0.3855 0.4756 0.016 0.276 0.000 0.004 0.000 0.704
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.2527 0.8134 0.000 0.000 0.000 0.832 0.000 0.168
#> 9747FD2F-D078-45CA-9D16-58D52A287323 6 0.2823 0.7348 0.000 0.000 0.000 0.204 0.000 0.796
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.3812 0.7893 0.008 0.788 0.000 0.072 0.000 0.132
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.8755 0.000 1.000 0.000 0.000 0.000 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 6 0.2048 0.8093 0.000 0.000 0.000 0.120 0.000 0.880
#> A8AE6F61-125B-4103-9F45-3F4C86234826 4 0.0146 0.8791 0.000 0.000 0.000 0.996 0.000 0.004
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0000 0.9670 0.000 0.000 1.000 0.000 0.000 0.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 4 0.0000 0.8795 0.000 0.000 0.000 1.000 0.000 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.1910 0.8881 0.000 0.108 0.892 0.000 0.000 0.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 6 0.2048 0.8093 0.000 0.000 0.000 0.120 0.000 0.880
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 4 0.2003 0.7864 0.116 0.000 0.000 0.884 0.000 0.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 4 0.0000 0.8795 0.000 0.000 0.000 1.000 0.000 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0000 0.8755 0.000 1.000 0.000 0.000 0.000 0.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 1 0.0547 0.9569 0.980 0.000 0.000 0.000 0.020 0.000
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 6 0.2048 0.7715 0.000 0.120 0.000 0.000 0.000 0.880
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 4 0.0260 0.8787 0.000 0.000 0.000 0.992 0.000 0.008
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
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#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.5624 -0.0469 0.000 0.456 0.148 0.000 0.000 0.396
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.2730 0.7164 0.000 0.808 0.192 0.000 0.000 0.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0146 0.9666 0.000 0.004 0.996 0.000 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 6 0.1957 0.8099 0.000 0.000 0.000 0.112 0.000 0.888
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.2491 0.8164 0.000 0.000 0.000 0.836 0.000 0.164
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.2003 0.8436 0.000 0.000 0.000 0.884 0.000 0.116
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.2454 0.8198 0.000 0.000 0.000 0.840 0.000 0.160
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0713 0.8680 0.000 0.972 0.028 0.000 0.000 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 4 0.0000 0.8795 0.000 0.000 0.000 1.000 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0713 0.8680 0.000 0.972 0.028 0.000 0.000 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.0000 0.8795 0.000 0.000 0.000 1.000 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 3 0.0363 0.9616 0.000 0.012 0.988 0.000 0.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.2697 0.7990 0.000 0.188 0.812 0.000 0.000 0.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 4 0.0790 0.8711 0.000 0.000 0.000 0.968 0.000 0.032
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0146 0.9666 0.000 0.004 0.996 0.000 0.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 5 0.0000 0.9592 0.000 0.000 0.000 0.000 1.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 4 0.3626 0.7562 0.144 0.000 0.000 0.788 0.000 0.068
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0405 0.9621 0.000 0.004 0.988 0.000 0.008 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 4 0.0146 0.8791 0.000 0.000 0.000 0.996 0.000 0.004
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0865 0.9411 0.964 0.000 0.000 0.000 0.036 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0146 0.9666 0.000 0.004 0.996 0.000 0.000 0.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0146 0.9666 0.000 0.004 0.996 0.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 4 0.0146 0.8779 0.004 0.000 0.000 0.996 0.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.3592 0.4817 0.000 0.656 0.000 0.000 0.344 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 6 0.2048 0.8093 0.000 0.000 0.000 0.120 0.000 0.880
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.2048 0.8611 0.000 0.880 0.000 0.000 0.000 0.120
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.0000 0.9592 0.000 0.000 0.000 0.000 1.000 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.0146 0.9566 0.000 0.004 0.000 0.000 0.996 0.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0363 0.8736 0.000 0.988 0.000 0.000 0.012 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 5 0.1970 0.8775 0.092 0.000 0.008 0.000 0.900 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.2048 0.8419 0.000 0.000 0.000 0.880 0.000 0.120
#> 002A3E61-7200-4B45-9704-6A9360233390 4 0.2300 0.7712 0.000 0.000 0.000 0.856 0.000 0.144
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.1714 0.8537 0.000 0.000 0.000 0.908 0.000 0.092
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0713 0.8680 0.000 0.972 0.028 0.000 0.000 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.0000 0.9670 0.000 0.000 1.000 0.000 0.000 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 5 0.0000 0.9592 0.000 0.000 0.000 0.000 1.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.9743 1.000 0.000 0.000 0.000 0.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.2730 0.7920 0.000 0.000 0.000 0.808 0.000 0.192
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 5 0.0000 0.9592 0.000 0.000 0.000 0.000 1.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17416 rows and 433 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 0.957 0.950 0.978 0.4722 0.528 0.528
#> 3 3 0.394 0.558 0.719 0.3089 0.678 0.463
#> 4 4 0.674 0.705 0.851 0.1677 0.801 0.516
#> 5 5 0.786 0.761 0.877 0.0654 0.936 0.776
#> 6 6 0.733 0.685 0.844 0.0505 0.868 0.528
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0938 0.9738 0.012 0.988
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.1414 0.9699 0.020 0.980
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0000 0.9791 0.000 1.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.9738 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0000 0.9738 1.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.0376 0.9704 0.996 0.004
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 2 0.1414 0.9699 0.020 0.980
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.0000 0.9791 0.000 1.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.9791 0.000 1.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.9738 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9791 0.000 1.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.9608 0.3979 0.384 0.616
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.9791 0.000 1.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 2 0.1414 0.9699 0.020 0.980
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9738 1.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.9738 1.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 2 0.8386 0.6432 0.268 0.732
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.9791 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 2 0.1414 0.9699 0.020 0.980
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.9738 1.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0000 0.9791 0.000 1.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 2 0.1414 0.9699 0.020 0.980
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.1414 0.9699 0.020 0.980
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.9738 1.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.9791 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9738 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.8081 0.6840 0.248 0.752
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.0000 0.9791 0.000 1.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 2 0.1414 0.9699 0.020 0.980
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.9791 0.000 1.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 2 0.7453 0.7427 0.212 0.788
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.9738 1.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.9738 1.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 2 0.1414 0.9699 0.020 0.980
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9738 1.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.2948 0.9355 0.052 0.948
#> 333F9855-9462-46B8-87C8-E9B01572C101 2 0.1414 0.9699 0.020 0.980
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.9738 1.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.9738 1.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.9738 1.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.9791 0.000 1.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9791 0.000 1.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.9738 1.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.9738 1.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.9738 1.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.9738 1.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.0000 0.9791 0.000 1.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.9791 0.000 1.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.9791 0.000 1.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.9738 1.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.9791 0.000 1.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.9738 1.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.9791 0.000 1.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.9791 0.000 1.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 2 0.0000 0.9791 0.000 1.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0000 0.9791 0.000 1.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.9738 1.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.9738 1.000 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.9209 0.5091 0.664 0.336
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.9791 0.000 1.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 2 0.1414 0.9699 0.020 0.980
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.9738 1.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.9791 0.000 1.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.0000 0.9791 0.000 1.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.9791 0.000 1.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 2 0.1414 0.9699 0.020 0.980
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.1414 0.9699 0.020 0.980
#> 164DD212-0839-4644-8FEE-E6A07A60803B 2 0.0000 0.9791 0.000 1.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.1414 0.9699 0.020 0.980
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 1 0.9286 0.4910 0.656 0.344
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.9791 0.000 1.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 2 0.1414 0.9699 0.020 0.980
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 2 0.4298 0.9041 0.088 0.912
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0000 0.9738 1.000 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.9791 0.000 1.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 2 0.0000 0.9791 0.000 1.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.9791 0.000 1.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 2 0.1414 0.9699 0.020 0.980
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0000 0.9738 1.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0000 0.9738 1.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.1414 0.9699 0.020 0.980
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.9791 0.000 1.000
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#> A30417A9-2D50-4723-842A-45463DB534AD 1 0.0000 0.9738 1.000 0.000
#> 0B840B00-AFF7-4D0E-9815-FA2A893294C6 1 0.0000 0.9738 1.000 0.000
#> 32FC134E-6424-4517-9B0C-B2E487542EC3 2 0.1414 0.9699 0.020 0.980
#> 85363C3B-1793-4B41-8015-C5450C1D5428 1 0.0000 0.9738 1.000 0.000
#> A8574381-5644-4F7A-BDD7-C579A6398B70 2 0.0000 0.9791 0.000 1.000
#> 85BCE632-72B2-475A-8FE0-F045051B3CE5 1 0.0000 0.9738 1.000 0.000
#> 9972E418-EFEC-4AA6-AA83-98D79D74DFB4 2 0.6801 0.7915 0.180 0.820
#> 3F9403BF-0B47-40E4-8709-9DB0D218E607 1 0.7602 0.7207 0.780 0.220
#> E9595675-4155-43BB-8E68-FC59D55C62E6 2 0.1414 0.9699 0.020 0.980
#> 4B6DDD8E-AB89-4C9D-8D48-AD81B8FB4A31 2 0.0000 0.9791 0.000 1.000
#> EEDFA1F7-26D8-426A-93F5-43CCF0B3CF59 2 0.0000 0.9791 0.000 1.000
#> 2C26486A-A737-4B2F-9D98-28A700081CDA 2 0.0000 0.9791 0.000 1.000
#> 458FCE33-422D-4C4C-A9CF-ABFED8B19D4A 2 0.0000 0.9791 0.000 1.000
#> A66FCDA9-6775-4052-94C4-12E173DF4084 2 0.6973 0.7796 0.188 0.812
#> E3F52C71-F558-47C7-B956-BC79F98EFD5D 2 0.0000 0.9791 0.000 1.000
#> 82C75B87-33D1-4317-AC48-7043A3D677EC 2 0.0000 0.9791 0.000 1.000
#> E4DB5591-7C73-4792-B86F-3B2FB59C66BD 2 0.0000 0.9791 0.000 1.000
#> FEF62FF9-F25E-49A7-B1E4-84099D13A309 2 0.0000 0.9791 0.000 1.000
#> 3D6CE155-4E02-4739-A8C9-30981EA9B0B1 1 0.0000 0.9738 1.000 0.000
#> 0A3AB174-07D0-4396-A6C5-9ECEEBE8651C 1 0.0000 0.9738 1.000 0.000
#> 86ACC3DD-A9E8-4FDA-ACF9-33175CE06629 1 0.0000 0.9738 1.000 0.000
#> A3150223-5399-4CC6-90A7-6046F39FAC3E 2 0.0000 0.9791 0.000 1.000
#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 1 0.0000 0.9738 1.000 0.000
#> 99D8A9E2-773C-4142-9A93-5F749961F712 1 0.0000 0.9738 1.000 0.000
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 2 0.0000 0.9791 0.000 1.000
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 1 0.0000 0.9738 1.000 0.000
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 2 0.0000 0.9791 0.000 1.000
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 1 0.0000 0.9738 1.000 0.000
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 2 0.0000 0.9791 0.000 1.000
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 2 0.1414 0.9699 0.020 0.980
#> 14003AA2-81B6-4143-98AD-124903BAE56B 1 0.0000 0.9738 1.000 0.000
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.0000 0.9738 1.000 0.000
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0000 0.9791 0.000 1.000
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.0938 0.9738 0.012 0.988
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.0000 0.9791 0.000 1.000
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 2 0.0000 0.9791 0.000 1.000
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 2 0.0376 0.9774 0.004 0.996
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.6531 0.7926 0.832 0.168
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0000 0.9738 1.000 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 2 0.0000 0.9791 0.000 1.000
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 2 0.0000 0.9791 0.000 1.000
#> 420503AA-3799-4816-BEEC-0B4D05988D38 2 0.0000 0.9791 0.000 1.000
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0000 0.9738 1.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.9738 1.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.0000 0.9791 0.000 1.000
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0000 0.9738 1.000 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0000 0.9738 1.000 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.0000 0.9791 0.000 1.000
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 1 0.5946 0.8244 0.856 0.144
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.0000 0.9791 0.000 1.000
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.9791 0.000 1.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.9791 0.000 1.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.0000 0.9738 1.000 0.000
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.0000 0.9791 0.000 1.000
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.0000 0.9791 0.000 1.000
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0000 0.9791 0.000 1.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 2 0.0000 0.9791 0.000 1.000
#> B822A426-98C1-4976-9FC2-16347992AD78 2 0.0376 0.9774 0.004 0.996
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.9791 0.000 1.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0000 0.9738 1.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.9791 0.000 1.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 2 0.0000 0.9791 0.000 1.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.0000 0.9791 0.000 1.000
#> E9894334-C852-4159-9FEB-40292B160CC1 2 0.0000 0.9791 0.000 1.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.1414 0.9699 0.020 0.980
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.0000 0.9738 1.000 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.0376 0.9774 0.004 0.996
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.6438 0.7993 0.836 0.164
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0000 0.9791 0.000 1.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.1414 0.9699 0.020 0.980
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 2 0.0000 0.9791 0.000 1.000
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 2 0.1414 0.9699 0.020 0.980
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.9791 0.000 1.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 2 0.1414 0.9699 0.020 0.980
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 2 0.6343 0.8164 0.160 0.840
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.1414 0.9699 0.020 0.980
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.9738 1.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.0000 0.9738 1.000 0.000
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.0000 0.9738 1.000 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.9738 1.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.1633 0.9528 0.976 0.024
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 2 0.1414 0.9699 0.020 0.980
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.0000 0.9791 0.000 1.000
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.9738 1.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.9738 1.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.9791 0.000 1.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.9738 1.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.9791 0.000 1.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.9738 1.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 2 0.7815 0.7114 0.232 0.768
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0000 0.9738 1.000 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.6801 0.7923 0.180 0.820
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.1414 0.9699 0.020 0.980
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.9791 0.000 1.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.6048 0.8198 0.852 0.148
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.9791 0.000 1.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 2 0.1414 0.9699 0.020 0.980
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.9791 0.000 1.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 2 0.0000 0.9791 0.000 1.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.9791 0.000 1.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 2 0.0000 0.9791 0.000 1.000
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 2 0.1414 0.9699 0.020 0.980
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.9791 0.000 1.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0000 0.9791 0.000 1.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 2 0.1414 0.9699 0.020 0.980
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.9791 0.000 1.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.9738 1.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.0000 0.9791 0.000 1.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.9738 1.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.9738 1.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.9738 1.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.9791 0.000 1.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 2 0.1414 0.9699 0.020 0.980
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.9791 0.000 1.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.9738 1.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.1633 0.9528 0.976 0.024
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 0.9791 0.000 1.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0000 0.9791 0.000 1.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0000 0.9791 0.000 1.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.0000 0.9791 0.000 1.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 2 0.1414 0.9699 0.020 0.980
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.9738 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.9738 1.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.9738 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.9791 0.000 1.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.9738 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.9791 0.000 1.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.9738 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.9791 0.000 1.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0000 0.9791 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.9738 1.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.9738 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.0000 0.9791 0.000 1.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.9738 1.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.9791 0.000 1.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.9738 1.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.0000 0.9791 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.9738 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0000 0.9738 1.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.9896 0.2360 0.440 0.560
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9738 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.0000 0.9791 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.0000 0.9791 0.000 1.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.9738 1.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.9791 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.7745 0.7086 0.772 0.228
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.9791 0.000 1.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.9791 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.0000 0.9791 0.000 1.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.9791 0.000 1.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.1633 0.9671 0.024 0.976
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.9738 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.9738 1.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.9738 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.9791 0.000 1.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 2 0.1414 0.9699 0.020 0.980
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.9791 0.000 1.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.9738 1.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.9738 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.1184 0.9718 0.016 0.984
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.5882 0.60109 0.000 0.652 0.348
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.5785 0.28406 0.000 0.332 0.668
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.4121 0.53159 0.000 0.832 0.168
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.5560 0.69460 0.700 0.000 0.300
#> 0797DC35-6243-451D-9653-9649D390C0F4 3 0.4121 0.64334 0.168 0.000 0.832
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 3 0.4121 0.64334 0.168 0.000 0.832
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.6307 -0.40743 0.488 0.000 0.512
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.7553 -0.16089 0.060 0.320 0.620
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.5678 0.63407 0.000 0.684 0.316
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.76145 1.000 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.5785 0.62667 0.000 0.668 0.332
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 3 0.4514 0.60062 0.012 0.156 0.832
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.65786 0.000 1.000 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 3 0.4121 0.58981 0.000 0.168 0.832
#> C8041089-E148-4B33-BBB7-9298B81A8832 3 0.5678 0.63639 0.316 0.000 0.684
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.5678 0.68601 0.684 0.000 0.316
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 3 0.7451 0.63781 0.144 0.156 0.700
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.5810 0.55515 0.000 0.664 0.336
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 3 0.4121 0.58981 0.000 0.168 0.832
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.4235 0.61663 0.824 0.000 0.176
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.5859 0.61620 0.000 0.656 0.344
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 3 0.7705 0.20804 0.064 0.332 0.604
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.5785 0.28406 0.000 0.332 0.668
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#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 2 0.0000 0.65786 0.000 1.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.5327 0.64397 0.000 0.728 0.272
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.8233 -0.03247 0.120 0.264 0.616
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 3 0.4121 0.58981 0.000 0.168 0.832
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.5835 0.61869 0.000 0.660 0.340
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.5785 0.62667 0.000 0.668 0.332
#> 8DBE419E-A360-4493-AC3B-C145887D9237 3 0.6726 0.25628 0.024 0.332 0.644
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.5785 0.62667 0.000 0.668 0.332
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.5988 0.29362 0.632 0.000 0.368
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.0000 0.65786 0.000 1.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.76145 1.000 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.76145 1.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 3 0.5678 0.63639 0.316 0.000 0.684
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0747 0.64924 0.000 0.984 0.016
#> 73D9833A-5E24-47D9-B193-22A66A282669 3 0.5785 0.28406 0.000 0.332 0.668
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.5785 0.62667 0.000 0.668 0.332
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 3 0.5678 0.63639 0.316 0.000 0.684
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.5678 0.68601 0.684 0.000 0.316
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 0.65786 0.000 1.000 0.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0747 0.64977 0.000 0.984 0.016
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0000 0.65786 0.000 1.000 0.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.0000 0.65786 0.000 1.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 3 0.7309 0.62836 0.124 0.168 0.708
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 3 0.5678 0.63639 0.316 0.000 0.684
#> 56943BD9-EEDA-457A-9F18-ACC397978668 3 0.5529 0.64527 0.296 0.000 0.704
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 3 0.4702 0.64898 0.212 0.000 0.788
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.65786 0.000 1.000 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.5988 0.29362 0.632 0.000 0.368
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.65786 0.000 1.000 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.6280 -0.03241 0.540 0.000 0.460
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.65786 0.000 1.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0000 0.65786 0.000 1.000 0.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 3 0.5560 0.64430 0.300 0.000 0.700
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.4178 0.73920 0.828 0.000 0.172
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.0000 0.65786 0.000 1.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.76145 1.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.5621 0.63697 0.000 0.692 0.308
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.2448 0.71735 0.924 0.000 0.076
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.4121 0.53159 0.000 0.832 0.168
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.4121 0.73945 0.832 0.000 0.168
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 3 0.5678 0.63639 0.316 0.000 0.684
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.5678 0.68601 0.684 0.000 0.316
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.76145 1.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.5650 0.63689 0.000 0.688 0.312
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.0000 0.65786 0.000 1.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.4842 0.55084 0.776 0.000 0.224
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.65786 0.000 1.000 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 3 0.5560 0.64430 0.300 0.000 0.700
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.5785 0.62667 0.000 0.668 0.332
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.5678 0.63407 0.000 0.684 0.316
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.6154 0.52451 0.000 0.592 0.408
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.5678 0.63407 0.000 0.684 0.316
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.9746 -0.32546 0.328 0.240 0.432
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 3 0.5905 0.57959 0.352 0.000 0.648
#> 002A3E61-7200-4B45-9704-6A9360233390 3 0.5926 0.57314 0.356 0.000 0.644
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 3 0.5706 0.63097 0.320 0.000 0.680
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.5785 0.62667 0.000 0.668 0.332
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.5785 0.28406 0.000 0.332 0.668
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.5678 0.63407 0.000 0.684 0.316
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.5650 0.68852 0.688 0.000 0.312
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 3 0.5678 0.63639 0.316 0.000 0.684
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.6308 0.36988 0.000 0.508 0.492
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0336 0.8066 0.000 0.992 0.000 0.008
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.2868 0.6863 0.000 0.864 0.000 0.136
#> B5567E00-32AA-48D8-8087-1088C22B0994 3 0.0000 0.4378 0.000 0.000 1.000 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.3400 0.7966 0.820 0.000 0.180 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.0657 0.9094 0.012 0.004 0.000 0.984
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.0188 0.9138 0.000 0.004 0.000 0.996
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.5512 0.5201 0.492 0.016 0.492 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.5000 0.1395 0.000 0.504 0.496 0.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0188 0.8080 0.000 0.996 0.004 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.8358 1.000 0.000 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.8099 0.000 1.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.0188 0.9138 0.000 0.004 0.000 0.996
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 3 0.4999 0.5694 0.000 0.492 0.508 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.1302 0.8919 0.000 0.044 0.000 0.956
#> C8041089-E148-4B33-BBB7-9298B81A8832 4 0.1637 0.8850 0.060 0.000 0.000 0.940
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.4643 0.7038 0.656 0.000 0.344 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0000 0.9144 0.000 0.000 0.000 1.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.5000 0.1395 0.000 0.504 0.496 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.0000 0.9144 0.000 0.000 0.000 1.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.4040 0.6057 0.752 0.000 0.000 0.248
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0000 0.8099 0.000 1.000 0.000 0.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 2 0.3224 0.6932 0.016 0.864 0.000 0.120
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.2868 0.6863 0.000 0.864 0.000 0.136
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.0000 0.9144 0.000 0.000 0.000 1.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 3 0.4643 0.5719 0.000 0.344 0.656 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.3400 0.7966 0.820 0.000 0.180 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.4643 0.7038 0.656 0.000 0.344 0.000
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.1389 0.8894 0.000 0.048 0.000 0.952
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.5695 0.3653 0.624 0.344 0.024 0.008
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.8099 0.000 1.000 0.000 0.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 4 0.7441 0.2475 0.112 0.016 0.396 0.476
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.0000 0.9144 0.000 0.000 0.000 1.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0000 0.9144 0.000 0.000 0.000 1.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.1792 0.8727 0.000 0.068 0.000 0.932
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.3400 0.7966 0.820 0.000 0.180 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 1 0.5000 0.5339 0.504 0.000 0.496 0.000
#> 333F9855-9462-46B8-87C8-E9B01572C101 2 0.2868 0.6863 0.000 0.864 0.000 0.136
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.8358 1.000 0.000 0.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.1557 0.8137 0.944 0.000 0.000 0.056
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0000 0.9144 0.000 0.000 0.000 1.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0188 0.8080 0.000 0.996 0.004 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0188 0.8080 0.000 0.996 0.004 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.8358 1.000 0.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 4 0.3400 0.7988 0.180 0.000 0.000 0.820
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.3400 0.7966 0.820 0.000 0.180 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.0000 0.9144 0.000 0.000 0.000 1.000
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.0000 0.8099 0.000 1.000 0.000 0.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.3074 0.6937 0.000 0.848 0.152 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.3123 0.6892 0.000 0.844 0.156 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.8358 1.000 0.000 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.8099 0.000 1.000 0.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.8358 1.000 0.000 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.3074 0.6937 0.000 0.848 0.152 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.8099 0.000 1.000 0.000 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.4661 0.5832 0.000 0.348 0.652 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0707 0.7998 0.000 0.980 0.000 0.020
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.8358 1.000 0.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 4 0.3400 0.7988 0.180 0.000 0.000 0.820
#> F42EDEA7-271C-4A65-8113-62FA64424535 4 0.0336 0.9119 0.000 0.008 0.000 0.992
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.8099 0.000 1.000 0.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 2 0.3942 0.5419 0.000 0.764 0.000 0.236
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.8358 1.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0188 0.8080 0.000 0.996 0.004 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.4344 0.6183 0.000 0.816 0.076 0.108
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.3074 0.6937 0.000 0.848 0.152 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 4 0.5174 0.4327 0.000 0.012 0.368 0.620
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.2647 0.7051 0.000 0.880 0.000 0.120
#> 164DD212-0839-4644-8FEE-E6A07A60803B 2 0.4761 -0.2026 0.000 0.628 0.372 0.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.2271 0.7457 0.076 0.916 0.000 0.008
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.0000 0.9144 0.000 0.000 0.000 1.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.1118 0.7929 0.000 0.964 0.036 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 2 0.0336 0.8066 0.000 0.992 0.000 0.008
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.0000 0.9144 0.000 0.000 0.000 1.000
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.0188 0.9138 0.000 0.004 0.000 0.996
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.8099 0.000 1.000 0.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.4643 0.5719 0.000 0.344 0.656 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.8099 0.000 1.000 0.000 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 2 0.4992 0.1219 0.000 0.524 0.000 0.476
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.0000 0.9144 0.000 0.000 0.000 1.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.0000 0.9144 0.000 0.000 0.000 1.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.0336 0.8066 0.000 0.992 0.000 0.008
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0188 0.8080 0.000 0.996 0.004 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.1302 0.8919 0.000 0.044 0.000 0.956
#> A8AE6F61-125B-4103-9F45-3F4C86234826 4 0.0000 0.9144 0.000 0.000 0.000 1.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.6800 0.0209 0.000 0.096 0.460 0.444
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 4 0.3400 0.7988 0.180 0.000 0.000 0.820
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 2 0.4998 -0.5382 0.000 0.512 0.488 0.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.1302 0.8919 0.000 0.044 0.000 0.956
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 2 0.6878 0.2105 0.316 0.556 0.000 0.128
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.3172 0.7315 0.840 0.000 0.000 0.160
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.1557 0.7798 0.000 0.944 0.056 0.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 1 0.5168 0.5363 0.504 0.004 0.492 0.000
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 4 0.1716 0.8768 0.000 0.064 0.000 0.936
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.0524 0.8331 0.988 0.004 0.000 0.008
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.3539 0.7463 0.820 0.004 0.000 0.176
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 4 0.0000 0.9144 0.000 0.000 0.000 1.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.3400 0.7966 0.820 0.000 0.180 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 3 0.4585 0.2098 0.000 0.332 0.668 0.000
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.0000 0.8358 1.000 0.000 0.000 0.000
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.1557 0.7798 0.000 0.944 0.056 0.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 4 0.0000 0.9144 0.000 0.000 0.000 1.000
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.2546 0.7278 0.092 0.900 0.000 0.008
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.4999 0.5694 0.000 0.492 0.508 0.000
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#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0804 0.8051 0.000 0.980 0.012 0.008
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0566 0.8754 0.004 0.984 0.000 0.012 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.2206 0.8263 0.004 0.912 0.016 0.068 0.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.0000 0.9294 0.000 0.000 0.000 0.000 1.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.5386 0.3001 0.544 0.000 0.060 0.000 0.396
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.1787 0.8426 0.004 0.044 0.016 0.936 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.1787 0.8426 0.004 0.044 0.016 0.936 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 5 0.0324 0.9289 0.004 0.000 0.004 0.000 0.992
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 5 0.0162 0.9290 0.000 0.000 0.004 0.000 0.996
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.1205 0.8828 0.000 0.956 0.040 0.000 0.004
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.1410 0.7991 0.940 0.000 0.060 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.1043 0.8840 0.000 0.960 0.040 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.1121 0.8451 0.000 0.044 0.000 0.956 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 3 0.3550 0.8351 0.000 0.236 0.760 0.000 0.004
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.1341 0.8401 0.000 0.056 0.000 0.944 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 4 0.2074 0.7903 0.104 0.000 0.000 0.896 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 5 0.1701 0.8997 0.048 0.000 0.016 0.000 0.936
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.0000 0.9294 0.000 0.000 0.000 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.0162 0.8509 0.000 0.004 0.000 0.996 0.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.2929 0.6917 0.840 0.000 0.008 0.152 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0000 0.8802 0.000 1.000 0.000 0.000 0.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 2 0.2347 0.8296 0.016 0.912 0.016 0.056 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.2236 0.8313 0.000 0.908 0.024 0.068 0.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 3 0.4465 0.8204 0.000 0.212 0.732 0.000 0.056
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.5386 0.3001 0.544 0.000 0.060 0.000 0.396
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 5 0.1626 0.9019 0.044 0.000 0.016 0.000 0.940
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.1544 0.8339 0.000 0.068 0.000 0.932 0.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 2 0.5084 0.1157 0.452 0.520 0.016 0.012 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.8802 0.000 1.000 0.000 0.000 0.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 5 0.3050 0.8430 0.012 0.044 0.016 0.040 0.888
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.1809 0.8212 0.060 0.000 0.012 0.928 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.1851 0.8175 0.000 0.088 0.000 0.912 0.000
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.5386 0.3001 0.544 0.000 0.060 0.000 0.396
#> 2A08011A-E15E-4754-B560-4637EF3A446B 5 0.0162 0.9293 0.004 0.000 0.000 0.000 0.996
#> 333F9855-9462-46B8-87C8-E9B01572C101 2 0.2206 0.8263 0.004 0.912 0.016 0.068 0.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0162 0.8026 0.996 0.000 0.004 0.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0566 0.8013 0.984 0.000 0.004 0.012 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0404 0.8477 0.012 0.000 0.000 0.988 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.1205 0.8828 0.000 0.956 0.040 0.000 0.004
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.1043 0.8840 0.000 0.960 0.040 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.1410 0.7991 0.940 0.000 0.060 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 4 0.4201 0.4166 0.408 0.000 0.000 0.592 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.5369 0.3170 0.552 0.000 0.060 0.000 0.388
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.0703 0.8791 0.000 0.976 0.024 0.000 0.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.2438 0.8611 0.000 0.900 0.040 0.000 0.060
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.3386 0.8038 0.000 0.832 0.040 0.000 0.128
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.1410 0.7991 0.940 0.000 0.060 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.1043 0.8840 0.000 0.960 0.040 0.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0613 0.8011 0.984 0.004 0.008 0.004 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.2438 0.8611 0.000 0.900 0.040 0.000 0.060
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0703 0.8847 0.000 0.976 0.024 0.000 0.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.1704 0.8589 0.000 0.068 0.928 0.000 0.004
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0510 0.8757 0.000 0.984 0.000 0.016 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0609 0.8046 0.980 0.000 0.020 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 4 0.4641 0.3383 0.456 0.000 0.012 0.532 0.000
#> F42EDEA7-271C-4A65-8113-62FA64424535 4 0.0451 0.8496 0.004 0.008 0.000 0.988 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.1043 0.8840 0.000 0.960 0.040 0.000 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 2 0.4452 0.6621 0.004 0.760 0.072 0.164 0.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.1410 0.7991 0.940 0.000 0.060 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.1205 0.8828 0.000 0.956 0.040 0.000 0.004
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.4797 0.6361 0.000 0.724 0.172 0.104 0.000
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.2300 0.8636 0.000 0.908 0.040 0.000 0.052
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.4380 0.2683 0.000 0.008 0.616 0.376 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.1768 0.8348 0.004 0.924 0.000 0.072 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.3949 0.6356 0.000 0.332 0.668 0.000 0.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.1716 0.8543 0.024 0.944 0.016 0.016 0.000
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.1830 0.8759 0.000 0.932 0.040 0.000 0.028
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 2 0.3289 0.7300 0.004 0.816 0.172 0.008 0.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.2395 0.8372 0.036 0.040 0.012 0.912 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.1043 0.8840 0.000 0.960 0.040 0.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.1943 0.8490 0.000 0.056 0.924 0.000 0.020
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.8802 0.000 1.000 0.000 0.000 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 2 0.4730 0.2557 0.004 0.568 0.012 0.416 0.000
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.1612 0.8567 0.024 0.948 0.016 0.012 0.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.1205 0.8828 0.000 0.956 0.040 0.000 0.004
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.1341 0.8401 0.000 0.056 0.000 0.944 0.000
#> A8AE6F61-125B-4103-9F45-3F4C86234826 4 0.1410 0.8263 0.060 0.000 0.000 0.940 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.4104 0.7215 0.000 0.124 0.788 0.088 0.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 4 0.4641 0.3383 0.456 0.000 0.012 0.532 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.3928 0.7526 0.000 0.296 0.700 0.000 0.004
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.1341 0.8401 0.000 0.056 0.000 0.944 0.000
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 2 0.6181 0.1838 0.376 0.516 0.016 0.092 0.000
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.2006 0.7735 0.916 0.000 0.012 0.072 0.000
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.1915 0.8742 0.000 0.928 0.040 0.000 0.032
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 5 0.0671 0.9248 0.016 0.000 0.004 0.000 0.980
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 4 0.1732 0.8258 0.000 0.080 0.000 0.920 0.000
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.1869 0.7815 0.936 0.036 0.016 0.012 0.000
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.5177 0.4410 0.652 0.040 0.016 0.292 0.000
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.5386 0.3001 0.544 0.000 0.060 0.000 0.396
#> 7465251E-7BC8-4179-8950-4E41836CF36B 5 0.0000 0.9294 0.000 0.000 0.000 0.000 1.000
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.0609 0.8046 0.980 0.000 0.020 0.000 0.000
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.1915 0.8739 0.000 0.928 0.040 0.000 0.032
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.2312 0.8281 0.060 0.912 0.016 0.012 0.000
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.1671 0.8628 0.000 0.076 0.924 0.000 0.000
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 2 0.2069 0.8256 0.000 0.912 0.012 0.076 0.000
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 0.8802 0.000 1.000 0.000 0.000 0.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 4 0.1341 0.8401 0.000 0.056 0.000 0.944 0.000
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.1608 0.8608 0.000 0.072 0.928 0.000 0.000
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 5 0.0162 0.9293 0.004 0.000 0.000 0.000 0.996
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.5351 0.3330 0.560 0.000 0.060 0.000 0.380
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.1410 0.7991 0.940 0.000 0.060 0.000 0.000
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.1671 0.8628 0.000 0.076 0.924 0.000 0.000
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 4 0.5451 0.1921 0.444 0.036 0.012 0.508 0.000
#> B54317C9-8704-42A6-BE96-E12855874596 2 0.1121 0.8828 0.000 0.956 0.044 0.000 0.000
#> 759B6273-634D-4145-AA95-452D628BF100 2 0.5891 0.0963 0.428 0.492 0.012 0.068 0.000
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0794 0.8848 0.000 0.972 0.028 0.000 0.000
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 4 0.4641 0.3383 0.456 0.000 0.012 0.532 0.000
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 2 0.1547 0.8559 0.004 0.948 0.016 0.032 0.000
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 1 0.4648 -0.1733 0.524 0.000 0.012 0.464 0.000
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 4 0.4201 0.3329 0.000 0.408 0.000 0.592 0.000
#> A6177818-114B-437B-9928-A6747A788109 4 0.4899 0.3266 0.456 0.008 0.012 0.524 0.000
#> E7064800-48FD-492A-A074-84A0B2452445 2 0.2208 0.8299 0.000 0.908 0.020 0.072 0.000
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.4449 -0.1510 0.000 0.512 0.484 0.000 0.004
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.0609 0.8046 0.980 0.000 0.020 0.000 0.000
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.1205 0.8828 0.000 0.956 0.040 0.000 0.004
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.1671 0.8628 0.000 0.076 0.924 0.000 0.000
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 4 0.0290 0.8508 0.000 0.008 0.000 0.992 0.000
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> EB235E9A-E453-4108-AD4F-31260F4340A6 5 0.1836 0.8901 0.016 0.000 0.008 0.040 0.936
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 1 0.2228 0.7732 0.920 0.044 0.016 0.020 0.000
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 2 0.2719 0.7860 0.000 0.852 0.004 0.000 0.144
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.0162 0.8036 0.996 0.000 0.004 0.000 0.000
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 4 0.1757 0.8425 0.004 0.048 0.012 0.936 0.000
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 4 0.1341 0.8265 0.056 0.000 0.000 0.944 0.000
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 3 0.2179 0.7272 0.000 0.000 0.888 0.000 0.112
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 2 0.2852 0.7364 0.000 0.828 0.172 0.000 0.000
#> 94128D59-A5BB-4460-A671-5E1571726C4D 2 0.0451 0.8790 0.000 0.988 0.004 0.000 0.008
#> 12BE2E3A-1B57-4EEE-B130-E70B6BE5A96B 1 0.0671 0.8000 0.980 0.000 0.004 0.016 0.000
#> 66600553-0E68-405C-81A3-4064DA18737D 3 0.2020 0.8625 0.000 0.100 0.900 0.000 0.000
#> C65B6272-DD2B-4075-963B-746F8904B395 5 0.2632 0.8028 0.000 0.072 0.040 0.000 0.888
#> EC7F0653-0AC0-47AF-A6A2-0475E149065F 4 0.0162 0.8496 0.000 0.000 0.004 0.996 0.000
#> 3EEB805B-3DC3-47AD-9D83-672D39333B8F 4 0.1341 0.8401 0.000 0.056 0.000 0.944 0.000
#> ECC99215-F4FB-40D3-A44D-549D681F0CAD 3 0.1671 0.8628 0.000 0.076 0.924 0.000 0.000
#> ED242FAE-14D1-4804-9C96-281197D485A4 4 0.1341 0.8401 0.000 0.056 0.000 0.944 0.000
#> 3BB9FC05-3230-4C65-9259-ED8FE65AD473 4 0.4791 0.3230 0.460 0.004 0.012 0.524 0.000
#> 57C51F55-9F3A-44F0-99DB-EE3557C04373 4 0.0451 0.8492 0.004 0.000 0.008 0.988 0.000
#> 90F8EB31-A33C-4434-90FC-B6721774D68C 2 0.1792 0.8263 0.000 0.916 0.000 0.084 0.000
#> 6516F0BC-00E2-40E6-9B9D-420F0DA30FA5 1 0.0451 0.8018 0.988 0.000 0.004 0.008 0.000
#> 0CCE788F-74E5-4562-82EA-EB39912298E4 5 0.1168 0.8958 0.000 0.032 0.008 0.000 0.960
#> 1B2E1531-7C1F-4BAF-BC45-42425B7B8891 2 0.4824 -0.1164 0.000 0.512 0.468 0.000 0.020
#> 1CA3C03E-20A1-401E-BE97-12D0E506AFB8 1 0.5386 0.3001 0.544 0.000 0.060 0.000 0.396
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#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0609 0.8843 0.000 0.980 0.020 0.000 0.000
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.0740 0.8737 0.004 0.980 0.008 0.008 0.000
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.3575 0.7847 0.000 0.824 0.120 0.000 0.056
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 5 0.0000 0.9294 0.000 0.000 0.000 0.000 1.000
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 4 0.1792 0.8222 0.000 0.084 0.000 0.916 0.000
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 4 0.1682 0.8438 0.004 0.044 0.012 0.940 0.000
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.5386 0.3001 0.544 0.000 0.060 0.000 0.396
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 5 0.0000 0.9294 0.000 0.000 0.000 0.000 1.000
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.1830 0.8581 0.000 0.068 0.924 0.000 0.008
#> 420503AA-3799-4816-BEEC-0B4D05988D38 5 0.3636 0.6057 0.000 0.000 0.272 0.000 0.728
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0609 0.8046 0.980 0.000 0.020 0.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.1410 0.7991 0.940 0.000 0.060 0.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.2504 0.8601 0.000 0.896 0.040 0.000 0.064
#> E1F863F8-90F0-402C-8433-95F522DDCE63 4 0.4641 0.3383 0.456 0.000 0.012 0.532 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0000 0.8032 1.000 0.000 0.000 0.000 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 5 0.0000 0.9294 0.000 0.000 0.000 0.000 1.000
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 4 0.1682 0.8438 0.004 0.044 0.012 0.940 0.000
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 3 0.3550 0.8351 0.000 0.236 0.760 0.000 0.004
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.1205 0.8828 0.000 0.956 0.040 0.000 0.004
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.1043 0.8840 0.000 0.960 0.040 0.000 0.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 5 0.1701 0.8997 0.048 0.000 0.016 0.000 0.936
#> B232056E-59B2-4D05-983D-8740D6994A71 5 0.0000 0.9294 0.000 0.000 0.000 0.000 1.000
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 3 0.3550 0.8351 0.000 0.236 0.760 0.000 0.004
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.1043 0.8840 0.000 0.960 0.040 0.000 0.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 3 0.3789 0.8382 0.000 0.224 0.760 0.000 0.016
#> B822A426-98C1-4976-9FC2-16347992AD78 2 0.0451 0.8776 0.000 0.988 0.004 0.008 0.000
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.1043 0.8840 0.000 0.960 0.040 0.000 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0162 0.8036 0.996 0.000 0.004 0.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.1205 0.8828 0.000 0.956 0.040 0.000 0.004
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.1671 0.8628 0.000 0.076 0.924 0.000 0.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.2504 0.8601 0.000 0.896 0.040 0.000 0.064
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.1877 0.8548 0.000 0.064 0.924 0.000 0.012
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 2 0.2166 0.8250 0.004 0.912 0.012 0.072 0.000
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.1121 0.8451 0.000 0.044 0.000 0.956 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.0290 0.8825 0.000 0.992 0.008 0.000 0.000
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.1205 0.8828 0.000 0.956 0.040 0.000 0.004
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.2206 0.8263 0.004 0.912 0.016 0.068 0.000
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 5 0.0000 0.9294 0.000 0.000 0.000 0.000 1.000
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 2 0.2206 0.8263 0.004 0.912 0.016 0.068 0.000
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.1740 0.8680 0.000 0.932 0.012 0.000 0.056
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 2 0.2166 0.8250 0.004 0.912 0.012 0.072 0.000
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 5 0.0324 0.9289 0.004 0.000 0.004 0.000 0.992
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 5 0.0451 0.9280 0.008 0.000 0.004 0.000 0.988
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 4 0.5576 0.4398 0.384 0.044 0.016 0.556 0.000
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.1211 0.7943 0.960 0.000 0.016 0.024 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.1410 0.7991 0.940 0.000 0.060 0.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 2 0.2186 0.8429 0.004 0.924 0.016 0.012 0.044
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.1121 0.8828 0.000 0.956 0.044 0.000 0.000
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.1410 0.7991 0.940 0.000 0.060 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0703 0.8043 0.976 0.000 0.024 0.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.2300 0.8650 0.000 0.908 0.040 0.000 0.052
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0693 0.8840 0.000 0.980 0.012 0.000 0.008
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 4 0.2005 0.8369 0.004 0.056 0.016 0.924 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 4 0.4666 0.3967 0.412 0.000 0.016 0.572 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.2206 0.8263 0.004 0.912 0.016 0.068 0.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.1205 0.8828 0.000 0.956 0.040 0.000 0.004
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 5 0.1725 0.9012 0.044 0.000 0.020 0.000 0.936
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.1800 0.8649 0.000 0.048 0.020 0.000 0.932
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.1270 0.8421 0.000 0.052 0.000 0.948 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 5 0.0000 0.9294 0.000 0.000 0.000 0.000 1.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.1671 0.8628 0.000 0.076 0.924 0.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.1043 0.8840 0.000 0.960 0.040 0.000 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 5 0.0324 0.9276 0.000 0.004 0.004 0.000 0.992
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 4 0.1197 0.8438 0.000 0.048 0.000 0.952 0.000
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.1121 0.8724 0.000 0.956 0.000 0.000 0.044
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0404 0.8814 0.000 0.988 0.000 0.000 0.012
#> 8DBE419E-A360-4493-AC3B-C145887D9237 2 0.2437 0.8347 0.004 0.912 0.016 0.016 0.052
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0963 0.8845 0.000 0.964 0.036 0.000 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 4 0.4641 0.3383 0.456 0.000 0.012 0.532 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.1830 0.8581 0.000 0.068 0.924 0.000 0.008
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.1410 0.7991 0.940 0.000 0.060 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.1410 0.7991 0.940 0.000 0.060 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.1502 0.8254 0.056 0.000 0.004 0.940 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.6784 -0.2914 0.000 0.368 0.352 0.000 0.280
#> 73D9833A-5E24-47D9-B193-22A66A282669 2 0.2206 0.8263 0.004 0.912 0.016 0.068 0.000
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.1043 0.8840 0.000 0.960 0.040 0.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 4 0.4641 0.3383 0.456 0.000 0.012 0.532 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 5 0.1725 0.9012 0.044 0.000 0.020 0.000 0.936
#> 5663C145-B465-4509-BA9A-1A40584952BD 3 0.3852 0.8389 0.000 0.220 0.760 0.000 0.020
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.3724 0.8492 0.000 0.204 0.776 0.020 0.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.3550 0.8351 0.000 0.236 0.760 0.000 0.004
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.1671 0.8628 0.000 0.076 0.924 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.1121 0.8451 0.000 0.044 0.000 0.956 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.1569 0.8446 0.004 0.044 0.008 0.944 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.0609 0.8499 0.000 0.020 0.000 0.980 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 3 0.3852 0.8389 0.000 0.220 0.760 0.000 0.020
#> C958FCED-BB40-4823-B839-6A31C6988A32 4 0.4641 0.3383 0.456 0.000 0.012 0.532 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 3 0.3720 0.8375 0.000 0.228 0.760 0.000 0.012
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.4641 0.3383 0.456 0.000 0.012 0.532 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.1121 0.8828 0.000 0.956 0.044 0.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.3852 0.8389 0.000 0.220 0.760 0.000 0.020
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 4 0.0566 0.8484 0.004 0.000 0.012 0.984 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.5386 0.3001 0.544 0.000 0.060 0.000 0.396
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.3274 0.8432 0.000 0.220 0.780 0.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.1270 0.8007 0.948 0.000 0.052 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.2504 0.8601 0.000 0.896 0.040 0.000 0.064
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.1195 0.7938 0.960 0.000 0.012 0.028 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.1943 0.8490 0.000 0.056 0.924 0.000 0.020
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.5386 0.3001 0.544 0.000 0.060 0.000 0.396
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 4 0.4446 0.4207 0.400 0.000 0.008 0.592 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 5 0.5386 0.1306 0.396 0.000 0.060 0.000 0.544
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0794 0.8040 0.972 0.000 0.028 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.1121 0.8828 0.000 0.956 0.044 0.000 0.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.1671 0.8628 0.000 0.076 0.924 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.2470 0.7515 0.884 0.000 0.012 0.104 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.5341 0.1948 0.000 0.564 0.376 0.000 0.060
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.1043 0.8840 0.000 0.960 0.040 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.2504 0.8601 0.000 0.896 0.040 0.000 0.064
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.3912 0.7932 0.000 0.828 0.036 0.096 0.040
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.2438 0.8611 0.000 0.900 0.040 0.000 0.060
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 5 0.0324 0.9289 0.004 0.000 0.004 0.000 0.992
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.1410 0.8245 0.060 0.000 0.000 0.940 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 4 0.4161 0.4381 0.392 0.000 0.000 0.608 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.3890 0.6461 0.252 0.000 0.012 0.736 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.1043 0.8840 0.000 0.960 0.040 0.000 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 2 0.2206 0.8263 0.004 0.912 0.016 0.068 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.2504 0.8601 0.000 0.896 0.040 0.000 0.064
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.5338 0.2914 0.544 0.000 0.056 0.000 0.400
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0000 0.8507 0.000 0.000 0.000 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.1209 0.8709 0.000 0.964 0.012 0.012 0.012
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.2378 0.7697 0.000 0.848 0.000 0.152 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.3480 0.7283 0.008 0.776 0.016 0.200 0.000 0.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.0000 0.7278 0.000 0.000 0.000 0.000 1.000 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 6 0.0000 0.8531 0.000 0.000 0.000 0.000 0.000 1.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.0622 0.8356 0.008 0.000 0.012 0.980 0.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.0622 0.8356 0.008 0.000 0.012 0.980 0.000 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 5 0.0363 0.7255 0.000 0.000 0.012 0.000 0.988 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 5 0.0458 0.7253 0.000 0.000 0.016 0.000 0.984 0.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0146 0.7858 0.004 0.996 0.000 0.000 0.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 6 0.0000 0.8531 0.000 0.000 0.000 0.000 0.000 1.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0146 0.7860 0.000 0.996 0.000 0.000 0.004 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.0000 0.8428 0.000 0.000 0.000 1.000 0.000 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.3995 -0.1149 0.004 0.516 0.480 0.000 0.000 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.0000 0.8428 0.000 0.000 0.000 1.000 0.000 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 4 0.3659 0.5752 0.364 0.000 0.000 0.636 0.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 6 0.3727 0.6004 0.000 0.000 0.000 0.000 0.388 0.612
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.2378 0.8438 0.152 0.000 0.000 0.848 0.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.0146 0.7284 0.004 0.000 0.000 0.000 0.996 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.2378 0.8438 0.152 0.000 0.000 0.848 0.000 0.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0547 0.8151 0.980 0.000 0.000 0.000 0.000 0.020
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.2378 0.7697 0.000 0.848 0.000 0.152 0.000 0.000
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#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.3995 -0.3403 0.004 0.516 0.000 0.000 0.480 0.000
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#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 5 0.0363 0.7255 0.000 0.000 0.012 0.000 0.988 0.000
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 4 0.0146 0.8442 0.004 0.000 0.000 0.996 0.000 0.000
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 5 0.5467 0.4411 0.000 0.304 0.000 0.152 0.544 0.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 5 0.5658 0.1324 0.000 0.416 0.000 0.152 0.432 0.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 2 0.4068 0.7333 0.008 0.776 0.016 0.156 0.044 0.000
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0260 0.7888 0.000 0.992 0.000 0.008 0.000 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0146 0.8185 0.996 0.000 0.000 0.004 0.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0363 0.7922 0.000 0.012 0.988 0.000 0.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 6 0.0000 0.8531 0.000 0.000 0.000 0.000 0.000 1.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 6 0.1910 0.7422 0.108 0.000 0.000 0.000 0.000 0.892
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.3706 0.5660 0.380 0.000 0.000 0.620 0.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.4948 0.5935 0.004 0.264 0.096 0.000 0.636 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 2 0.3420 0.7270 0.008 0.776 0.012 0.204 0.000 0.000
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.7876 0.000 1.000 0.000 0.000 0.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0146 0.8185 0.996 0.000 0.000 0.004 0.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 6 0.4057 0.5908 0.000 0.000 0.012 0.000 0.388 0.600
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#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.0000 0.8428 0.000 0.000 0.000 1.000 0.000 0.000
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#> D316C207-8020-47A7-8C2D-753CF42223B5 3 0.5981 0.2260 0.004 0.236 0.480 0.000 0.280 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0146 0.8185 0.996 0.000 0.000 0.004 0.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.3995 -0.1149 0.004 0.516 0.480 0.000 0.000 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0146 0.8185 0.996 0.000 0.000 0.004 0.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.7876 0.000 1.000 0.000 0.000 0.000 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.5981 0.2260 0.004 0.236 0.480 0.000 0.280 0.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 4 0.2454 0.8414 0.160 0.000 0.000 0.840 0.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 6 0.0000 0.8531 0.000 0.000 0.000 0.000 0.000 1.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.3634 0.4091 0.000 0.356 0.644 0.000 0.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 6 0.3244 0.4749 0.268 0.000 0.000 0.000 0.000 0.732
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 5 0.3852 0.6092 0.004 0.384 0.000 0.000 0.612 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.2219 0.7611 0.864 0.000 0.000 0.000 0.000 0.136
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0405 0.7871 0.000 0.004 0.988 0.000 0.008 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 6 0.0000 0.8531 0.000 0.000 0.000 0.000 0.000 1.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.2260 0.7196 0.860 0.000 0.000 0.140 0.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 6 0.3151 0.7233 0.000 0.000 0.000 0.000 0.252 0.748
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.3810 0.4305 0.572 0.000 0.000 0.000 0.000 0.428
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.0000 0.7876 0.000 1.000 0.000 0.000 0.000 0.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0363 0.7922 0.000 0.012 0.988 0.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0146 0.8184 0.996 0.000 0.000 0.000 0.000 0.004
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.5094 0.5743 0.004 0.308 0.092 0.000 0.596 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.2378 0.8438 0.152 0.000 0.000 0.848 0.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.7876 0.000 1.000 0.000 0.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.3852 0.6092 0.004 0.384 0.000 0.000 0.612 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 5 0.5324 0.4749 0.000 0.340 0.000 0.120 0.540 0.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.3890 0.5934 0.004 0.400 0.000 0.000 0.596 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 5 0.0458 0.7245 0.000 0.000 0.016 0.000 0.984 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.3804 -0.0104 0.576 0.000 0.000 0.424 0.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.3151 0.5527 0.748 0.000 0.000 0.252 0.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.2941 0.5763 0.780 0.000 0.000 0.220 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0146 0.7884 0.000 0.996 0.000 0.004 0.000 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 2 0.3480 0.7283 0.008 0.776 0.016 0.200 0.000 0.000
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 5 0.3852 0.6092 0.004 0.384 0.000 0.000 0.612 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 6 0.2668 0.7760 0.000 0.000 0.004 0.000 0.168 0.828
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.2378 0.8438 0.152 0.000 0.000 0.848 0.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.4972 0.6662 0.008 0.700 0.012 0.152 0.128 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 17416 rows and 433 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 0.310 0.538 0.795 0.4628 0.529 0.529
#> 3 3 0.572 0.588 0.818 0.3458 0.601 0.370
#> 4 4 0.846 0.845 0.933 0.1488 0.808 0.530
#> 5 5 0.819 0.860 0.922 0.0430 0.874 0.623
#> 6 6 0.773 0.688 0.842 0.0402 0.963 0.865
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
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.7319 0.000 1.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.5294 0.6783 0.120 0.880
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.2948 0.6833 0.052 0.948
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.1184 0.6247 0.984 0.016
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.9552 0.2641 0.624 0.376
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.9323 0.5231 0.652 0.348
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.9491 0.5141 0.632 0.368
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 1 0.9963 0.4635 0.536 0.464
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.7319 0.000 1.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.1184 0.6247 0.984 0.016
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0376 0.7291 0.004 0.996
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.6531 0.6467 0.168 0.832
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.1184 0.7194 0.016 0.984
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 2 0.7602 0.6053 0.220 0.780
#> C8041089-E148-4B33-BBB7-9298B81A8832 2 0.9988 0.3230 0.480 0.520
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.1633 0.6244 0.976 0.024
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 2 0.9988 0.3230 0.480 0.520
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.7319 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 2 0.7453 0.6145 0.212 0.788
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.1184 0.6247 0.984 0.016
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0000 0.7319 0.000 1.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 2 0.9710 0.1188 0.400 0.600
#> C1323790-6C24-4E54-A266-AE66588C1DD5 1 0.9922 0.4706 0.552 0.448
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 2 0.9988 0.3230 0.480 0.520
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.7319 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.1184 0.6247 0.984 0.016
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.9552 0.5083 0.624 0.376
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.4690 0.6887 0.100 0.900
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.9491 0.5141 0.632 0.368
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.7319 0.000 1.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 2 0.9087 0.3762 0.324 0.676
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 2 0.9988 0.3230 0.480 0.520
#> 4AAD7B53-9AA9-404B-8888-13160458E476 2 0.9988 0.3230 0.480 0.520
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 2 0.7950 0.4157 0.240 0.760
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.1184 0.6247 0.984 0.016
#> 2A08011A-E15E-4754-B560-4637EF3A446B 1 0.9686 0.5013 0.604 0.396
#> 333F9855-9462-46B8-87C8-E9B01572C101 2 0.4939 0.6852 0.108 0.892
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.1184 0.6247 0.984 0.016
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.9580 0.0393 0.620 0.380
#> 4571A92E-A240-4A6D-BC50-8971BD299287 2 0.9988 0.3230 0.480 0.520
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0376 0.7291 0.004 0.996
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0672 0.7261 0.008 0.992
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.1184 0.6247 0.984 0.016
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.9129 0.1832 0.672 0.328
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.1184 0.6247 0.984 0.016
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 2 0.9988 0.3230 0.480 0.520
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.7950 0.4157 0.240 0.760
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.7319 0.000 1.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.7319 0.000 1.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.1184 0.6247 0.984 0.016
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.7319 0.000 1.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.9998 -0.2724 0.508 0.492
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.7319 0.000 1.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.7950 0.4157 0.240 0.760
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 1 0.9922 0.4706 0.552 0.448
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0000 0.7319 0.000 1.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.4562 0.6115 0.904 0.096
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.9209 0.1642 0.664 0.336
#> F42EDEA7-271C-4A65-8113-62FA64424535 2 0.8813 0.5195 0.300 0.700
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.7319 0.000 1.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 1 0.9922 0.4706 0.552 0.448
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.1184 0.6247 0.984 0.016
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.7319 0.000 1.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.1184 0.7194 0.016 0.984
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.7319 0.000 1.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 1 0.9922 0.4706 0.552 0.448
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.4690 0.6887 0.100 0.900
#> 164DD212-0839-4644-8FEE-E6A07A60803B 1 0.9922 0.4706 0.552 0.448
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.1184 0.7278 0.016 0.984
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 2 0.8267 0.5600 0.260 0.740
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.7319 0.000 1.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 1 0.9922 0.4706 0.552 0.448
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 1 0.9358 0.5172 0.648 0.352
#> B945DBB3-D95A-463A-918D-057F55D29418 2 0.9988 0.3230 0.480 0.520
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.7319 0.000 1.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 1 0.9922 0.4706 0.552 0.448
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0000 0.7319 0.000 1.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 2 0.0000 0.7319 0.000 1.000
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 2 0.9988 0.3230 0.480 0.520
#> 9747FD2F-D078-45CA-9D16-58D52A287323 2 0.9988 0.3230 0.480 0.520
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.1633 0.7249 0.024 0.976
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.7319 0.000 1.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 2 0.7528 0.6089 0.216 0.784
#> A8AE6F61-125B-4103-9F45-3F4C86234826 2 0.9988 0.3230 0.480 0.520
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 1 0.9922 0.4706 0.552 0.448
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 2 0.9988 0.3230 0.480 0.520
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 2 0.7950 0.4157 0.240 0.760
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 2 0.6973 0.6323 0.188 0.812
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.9129 0.1832 0.672 0.328
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 2 0.9988 0.3230 0.480 0.520
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0000 0.7319 0.000 1.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 1 0.9427 0.5186 0.640 0.360
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 2 0.0938 0.7273 0.012 0.988
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.4815 0.6109 0.896 0.104
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.2043 0.6235 0.968 0.032
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 2 0.9988 0.3230 0.480 0.520
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.1184 0.6247 0.984 0.016
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.0000 0.7319 0.000 1.000
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.1184 0.6247 0.984 0.016
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.0000 0.7319 0.000 1.000
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 2 0.7815 0.5886 0.232 0.768
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.4690 0.6885 0.100 0.900
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 1 0.9922 0.4706 0.552 0.448
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 1 0.9922 0.4706 0.552 0.448
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.0000 0.7319 0.000 1.000
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 2 0.5737 0.6683 0.136 0.864
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 1 0.9922 0.4706 0.552 0.448
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 1 0.9460 0.5159 0.636 0.364
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.1184 0.6247 0.984 0.016
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.1184 0.6247 0.984 0.016
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 1 0.9922 0.4706 0.552 0.448
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 2 0.9988 0.3230 0.480 0.520
#> B54317C9-8704-42A6-BE96-E12855874596 2 0.7950 0.4157 0.240 0.760
#> 759B6273-634D-4145-AA95-452D628BF100 2 0.9129 0.4934 0.328 0.672
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.0000 0.7319 0.000 1.000
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 1 0.9170 0.1738 0.668 0.332
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 2 0.8327 0.4052 0.264 0.736
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 2 0.9988 0.3230 0.480 0.520
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.4690 0.6887 0.100 0.900
#> A6177818-114B-437B-9928-A6747A788109 2 0.9988 0.3230 0.480 0.520
#> E7064800-48FD-492A-A074-84A0B2452445 1 0.9922 0.4706 0.552 0.448
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.0672 0.7261 0.008 0.992
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.1184 0.6247 0.984 0.016
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.0000 0.7319 0.000 1.000
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 1 0.9922 0.4706 0.552 0.448
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 2 0.9963 0.3391 0.464 0.536
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 2 0.9988 0.3230 0.480 0.520
#> EB235E9A-E453-4108-AD4F-31260F4340A6 1 0.9044 0.5354 0.680 0.320
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 2 0.9988 0.3230 0.480 0.520
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 2 0.6148 0.5712 0.152 0.848
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.1184 0.6247 0.984 0.016
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 2 0.9248 0.4788 0.340 0.660
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 2 0.9988 0.3230 0.480 0.520
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 1 0.9922 0.4706 0.552 0.448
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 1 0.9922 0.4706 0.552 0.448
#> 94128D59-A5BB-4460-A671-5E1571726C4D 2 0.0938 0.7273 0.012 0.988
#> 12BE2E3A-1B57-4EEE-B130-E70B6BE5A96B 1 0.1633 0.6203 0.976 0.024
#> 66600553-0E68-405C-81A3-4064DA18737D 2 0.7376 0.4484 0.208 0.792
#> C65B6272-DD2B-4075-963B-746F8904B395 2 0.0000 0.7319 0.000 1.000
#> EC7F0653-0AC0-47AF-A6A2-0475E149065F 2 0.9491 0.3165 0.368 0.632
#> 3EEB805B-3DC3-47AD-9D83-672D39333B8F 2 0.6438 0.6506 0.164 0.836
#> ECC99215-F4FB-40D3-A44D-549D681F0CAD 1 0.9922 0.4706 0.552 0.448
#> ED242FAE-14D1-4804-9C96-281197D485A4 2 0.9087 0.3603 0.324 0.676
#> 3BB9FC05-3230-4C65-9259-ED8FE65AD473 1 0.9129 0.1832 0.672 0.328
#> 57C51F55-9F3A-44F0-99DB-EE3557C04373 2 0.9988 0.3230 0.480 0.520
#> 90F8EB31-A33C-4434-90FC-B6721774D68C 2 0.2043 0.7167 0.032 0.968
#> 6516F0BC-00E2-40E6-9B9D-420F0DA30FA5 1 0.9552 0.0516 0.624 0.376
#> 0CCE788F-74E5-4562-82EA-EB39912298E4 2 0.0000 0.7319 0.000 1.000
#> 1B2E1531-7C1F-4BAF-BC45-42425B7B8891 2 0.0376 0.7291 0.004 0.996
#> 1CA3C03E-20A1-401E-BE97-12D0E506AFB8 1 0.1184 0.6247 0.984 0.016
#> C3C5472C-21A7-4F22-AEE7-514902873770 2 0.1184 0.7194 0.016 0.984
#> 63351C27-1DF5-45FD-A08F-6AD2B2AF8BBF 2 0.9988 0.3230 0.480 0.520
#> E6982FF2-C754-4998-8C38-83CAA07151B4 1 0.9833 -0.0980 0.576 0.424
#> 2F3FD524-6F59-46C0-99FA-6CAA0C423061 1 0.9970 -0.0764 0.532 0.468
#> 1956427F-FBE0-46C9-BCB2-28CFFB4E3169 1 0.9922 0.4706 0.552 0.448
#> F12BD7C5-699C-4F80-B02C-CFA9D8BBD99C 1 0.8661 0.5472 0.712 0.288
#> ED8A6EE1-399E-444C-BEA5-1B32AAF46334 2 0.0000 0.7319 0.000 1.000
#> F0E550CA-CB04-4202-9AEA-EAE1C295EB6E 2 0.9988 0.3230 0.480 0.520
#> 80F493DC-D202-4FB0-803B-3A4FA2C85824 2 0.5629 0.6703 0.132 0.868
#> 54539B90-4EEC-4579-89F4-5EFC4FB4CC51 2 0.9988 0.3230 0.480 0.520
#> BB8A3F9E-830A-45E2-A1EC-50020C63A7C9 2 0.1184 0.7194 0.016 0.984
#> B387E79E-742F-418B-8AAB-0C721218A7D2 2 0.7376 0.4484 0.208 0.792
#> 69D6650D-0188-4FA7-B934-3FC0D36F9CAA 2 0.0000 0.7319 0.000 1.000
#> 910A82C8-4FE3-42E3-AF3E-FB94908018B2 1 0.9286 0.1435 0.656 0.344
#> 4EF67F08-BF9C-42F3-938B-CDED571BCFF4 2 0.0000 0.7319 0.000 1.000
#> 285269A3-BAD7-4958-BE76-66521529881D 2 0.0938 0.7273 0.012 0.988
#> 1FF8E3DD-9E9D-4E23-882E-EA767E9F93A2 2 0.0000 0.7319 0.000 1.000
#> 919FFB8D-D3B1-470C-8E2F-045104ACED68 2 0.6712 0.6405 0.176 0.824
#> 10974801-C0A4-4D01-8E2F-F82490B6AA72 2 0.0938 0.7228 0.012 0.988
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#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.1184 0.6247 0.984 0.016
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.1184 0.6247 0.984 0.016
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.7319 0.000 1.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 2 0.9988 0.3230 0.480 0.520
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.7319 0.000 1.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.9833 -0.0980 0.576 0.424
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 2 0.9393 0.4599 0.356 0.644
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.9358 0.5172 0.648 0.352
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.9087 0.4946 0.324 0.676
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.5178 0.6808 0.116 0.884
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.7319 0.000 1.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.8327 0.5568 0.736 0.264
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.7319 0.000 1.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 2 0.7139 0.6249 0.196 0.804
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.7319 0.000 1.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 1 0.9922 0.4706 0.552 0.448
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.1184 0.7194 0.016 0.984
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 2 0.9608 -0.0809 0.384 0.616
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 2 0.6801 0.6397 0.180 0.820
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.7319 0.000 1.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0000 0.7319 0.000 1.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.9491 0.5141 0.632 0.368
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.7319 0.000 1.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 2 0.9988 0.3230 0.480 0.520
#> 94491627-B82B-4986-9137-FF5B2D2E1336 1 0.9922 0.4706 0.552 0.448
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.1184 0.6247 0.984 0.016
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.1184 0.6247 0.984 0.016
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 2 0.9988 0.3230 0.480 0.520
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.7319 0.000 1.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 2 0.5519 0.6727 0.128 0.872
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.7319 0.000 1.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 2 0.9988 0.3230 0.480 0.520
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.9491 0.5141 0.632 0.368
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.1184 0.7194 0.016 0.984
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.7528 0.4417 0.216 0.784
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.7376 0.4484 0.208 0.792
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 1 0.9922 0.4706 0.552 0.448
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 2 0.6887 0.6324 0.184 0.816
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 2 0.9988 0.3230 0.480 0.520
#> 56943BD9-EEDA-457A-9F18-ACC397978668 2 0.9988 0.3230 0.480 0.520
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 2 0.9988 0.3230 0.480 0.520
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.1184 0.7194 0.016 0.984
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.9323 0.1328 0.652 0.348
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.1184 0.7194 0.016 0.984
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 2 0.9996 0.3075 0.488 0.512
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.7602 0.4380 0.220 0.780
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.7376 0.4484 0.208 0.792
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 2 0.9988 0.3230 0.480 0.520
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.1184 0.6247 0.984 0.016
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 1 0.9922 0.4706 0.552 0.448
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.1184 0.6247 0.984 0.016
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.7319 0.000 1.000
#> 57373041-9D22-4DB1-AA56-97733339391B 2 0.9988 0.3230 0.480 0.520
#> E9093C51-69E0-407D-9D11-226C83DC61BD 1 0.9922 0.4706 0.552 0.448
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.1184 0.6247 0.984 0.016
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 2 0.9988 0.3230 0.480 0.520
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.5178 0.6821 0.116 0.884
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.1184 0.6247 0.984 0.016
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.7950 0.4157 0.240 0.760
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 1 0.9922 0.4706 0.552 0.448
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.9286 0.1435 0.656 0.344
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.7319 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 2 0.9988 0.3230 0.480 0.520
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0672 0.7261 0.008 0.992
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.7319 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.0000 0.7319 0.000 1.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.7319 0.000 1.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 1 0.9944 0.4669 0.544 0.456
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 2 0.9988 0.3230 0.480 0.520
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.9170 0.1785 0.668 0.332
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 2 0.9988 0.3230 0.480 0.520
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0376 0.7291 0.004 0.996
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 2 0.9909 -0.2044 0.444 0.556
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.7319 0.000 1.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.1184 0.6247 0.984 0.016
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 2 0.9988 0.3230 0.480 0.520
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.7319 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.1289 0.90700 0.032 0.968 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.7720 0.43702 0.672 0.120 0.208
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.3116 0.86236 0.000 0.892 0.108
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 3 0.6305 0.14093 0.484 0.000 0.516
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.7533 0.09413 0.564 0.044 0.392
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.7919 -0.16992 0.480 0.056 0.464
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 3 0.8190 0.24816 0.432 0.072 0.496
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.5377 0.60348 0.112 0.068 0.820
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0592 0.91725 0.012 0.988 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 3 0.6305 0.14093 0.484 0.000 0.516
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.1031 0.91413 0.000 0.976 0.024
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.2959 0.69860 0.900 0.100 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.1163 0.91314 0.000 0.972 0.028
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.2550 0.72490 0.932 0.056 0.012
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0424 0.73291 0.992 0.000 0.008
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 3 0.6305 0.14093 0.484 0.000 0.516
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.1964 0.72498 0.944 0.056 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.1860 0.90784 0.000 0.948 0.052
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.7948 -0.08143 0.520 0.060 0.420
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.4796 0.56662 0.780 0.000 0.220
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0592 0.91725 0.012 0.988 0.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.7919 -0.16992 0.480 0.056 0.464
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.3459 0.64854 0.012 0.096 0.892
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0747 0.73097 0.984 0.000 0.016
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0747 0.91703 0.000 0.984 0.016
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 3 0.6305 0.14093 0.484 0.000 0.516
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 3 0.7757 0.18125 0.048 0.464 0.488
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.6225 0.30841 0.432 0.568 0.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.8070 -0.19091 0.472 0.064 0.464
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0592 0.91725 0.012 0.988 0.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.7913 -0.14041 0.492 0.056 0.452
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.1129 0.73764 0.976 0.020 0.004
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0892 0.73793 0.980 0.020 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 3 0.8157 0.45120 0.308 0.096 0.596
#> EE759127-DAA0-4281-AC47-880BC8563114 3 0.6305 0.14093 0.484 0.000 0.516
#> 2A08011A-E15E-4754-B560-4637EF3A446B 3 0.6881 0.44738 0.032 0.320 0.648
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.6111 0.33013 0.604 0.396 0.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.6180 0.20871 0.584 0.000 0.416
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.2384 0.72189 0.936 0.008 0.056
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0892 0.73793 0.980 0.020 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0237 0.91875 0.000 0.996 0.004
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0592 0.91725 0.012 0.988 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 3 0.6305 0.14093 0.484 0.000 0.516
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.6168 0.09389 0.588 0.000 0.412
#> E55AB18D-4929-4551-8561-F04399C6E13D 3 0.6305 0.14093 0.484 0.000 0.516
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0892 0.73793 0.980 0.020 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.3752 0.64724 0.020 0.096 0.884
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.1031 0.91413 0.000 0.976 0.024
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.1860 0.90784 0.000 0.948 0.052
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 3 0.6305 0.14093 0.484 0.000 0.516
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0592 0.91725 0.012 0.988 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.5560 0.46554 0.700 0.000 0.300
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0747 0.91703 0.000 0.984 0.016
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 3 0.8725 0.28362 0.416 0.108 0.476
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.3112 0.64926 0.004 0.096 0.900
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.1289 0.90700 0.032 0.968 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 3 0.6305 0.14093 0.484 0.000 0.516
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0747 0.73097 0.984 0.000 0.016
#> F42EDEA7-271C-4A65-8113-62FA64424535 1 0.2711 0.70600 0.912 0.088 0.000
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0237 0.91863 0.004 0.996 0.000
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.3112 0.64926 0.004 0.096 0.900
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 3 0.6305 0.14093 0.484 0.000 0.516
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0592 0.91725 0.012 0.988 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.1399 0.91248 0.004 0.968 0.028
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.1031 0.91413 0.000 0.976 0.024
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.3112 0.64926 0.004 0.096 0.900
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 1 0.5016 0.53886 0.760 0.240 0.000
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.3112 0.64926 0.004 0.096 0.900
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.1182 0.91876 0.012 0.976 0.012
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 1 0.3879 0.65375 0.848 0.152 0.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0747 0.91703 0.000 0.984 0.016
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.2878 0.64846 0.000 0.096 0.904
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 3 0.8125 0.41418 0.340 0.084 0.576
#> B945DBB3-D95A-463A-918D-057F55D29418 1 0.0892 0.73793 0.980 0.020 0.000
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0592 0.91725 0.012 0.988 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.3030 0.64809 0.004 0.092 0.904
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.1289 0.90700 0.032 0.968 0.000
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 2 0.1031 0.91413 0.000 0.976 0.024
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 1 0.0892 0.73793 0.980 0.020 0.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 1 0.0892 0.73793 0.980 0.020 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.0592 0.91725 0.012 0.988 0.000
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0592 0.91725 0.012 0.988 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 1 0.3412 0.68056 0.876 0.124 0.000
#> A8AE6F61-125B-4103-9F45-3F4C86234826 1 0.0892 0.73793 0.980 0.020 0.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.3112 0.64926 0.004 0.096 0.900
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 1 0.0892 0.73793 0.980 0.020 0.000
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.3349 0.64612 0.004 0.108 0.888
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 1 0.3116 0.69219 0.892 0.108 0.000
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.6051 0.42770 0.696 0.012 0.292
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 1 0.1129 0.73764 0.976 0.020 0.004
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0592 0.91725 0.012 0.988 0.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 1 0.7995 -0.17515 0.480 0.060 0.460
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 2 0.6345 0.30508 0.400 0.596 0.004
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.7918 -0.16164 0.484 0.056 0.460
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.7918 -0.16164 0.484 0.056 0.460
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 1 0.0892 0.73793 0.980 0.020 0.000
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 3 0.6305 0.14093 0.484 0.000 0.516
#> 7465251E-7BC8-4179-8950-4E41836CF36B 2 0.1860 0.90784 0.000 0.948 0.052
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#> DAF737C4-DF51-4C8C-B263-91B00B09D8FC 1 0.5849 0.56111 0.756 0.028 0.216
#> A30417A9-2D50-4723-842A-45463DB534AD 1 0.0892 0.73793 0.980 0.020 0.000
#> 0B840B00-AFF7-4D0E-9815-FA2A893294C6 1 0.0892 0.73793 0.980 0.020 0.000
#> 32FC134E-6424-4517-9B0C-B2E487542EC3 1 0.3192 0.68666 0.888 0.112 0.000
#> 85363C3B-1793-4B41-8015-C5450C1D5428 1 0.1129 0.73764 0.976 0.020 0.004
#> A8574381-5644-4F7A-BDD7-C579A6398B70 2 0.1860 0.90784 0.000 0.948 0.052
#> 85BCE632-72B2-475A-8FE0-F045051B3CE5 1 0.4750 0.60516 0.784 0.000 0.216
#> 9972E418-EFEC-4AA6-AA83-98D79D74DFB4 1 0.6180 0.08503 0.584 0.000 0.416
#> 3F9403BF-0B47-40E4-8709-9DB0D218E607 1 0.7962 -0.09409 0.512 0.060 0.428
#> E9595675-4155-43BB-8E68-FC59D55C62E6 1 0.7213 0.00484 0.552 0.028 0.420
#> 4B6DDD8E-AB89-4C9D-8D48-AD81B8FB4A31 2 0.1964 0.90618 0.000 0.944 0.056
#> EEDFA1F7-26D8-426A-93F5-43CCF0B3CF59 2 0.0592 0.91725 0.012 0.988 0.000
#> 2C26486A-A737-4B2F-9D98-28A700081CDA 2 0.0592 0.91725 0.012 0.988 0.000
#> 458FCE33-422D-4C4C-A9CF-ABFED8B19D4A 2 0.1411 0.90434 0.036 0.964 0.000
#> A66FCDA9-6775-4052-94C4-12E173DF4084 1 0.3038 0.69252 0.896 0.104 0.000
#> E3F52C71-F558-47C7-B956-BC79F98EFD5D 3 0.2356 0.63843 0.000 0.072 0.928
#> 82C75B87-33D1-4317-AC48-7043A3D677EC 3 0.3112 0.64926 0.004 0.096 0.900
#> E4DB5591-7C73-4792-B86F-3B2FB59C66BD 2 0.0592 0.91801 0.000 0.988 0.012
#> FEF62FF9-F25E-49A7-B1E4-84099D13A309 2 0.3375 0.87491 0.048 0.908 0.044
#> 3D6CE155-4E02-4739-A8C9-30981EA9B0B1 1 0.2165 0.71397 0.936 0.000 0.064
#> 0A3AB174-07D0-4396-A6C5-9ECEEBE8651C 1 0.6192 0.07232 0.580 0.000 0.420
#> 86ACC3DD-A9E8-4FDA-ACF9-33175CE06629 3 0.8337 0.21085 0.444 0.080 0.476
#> A3150223-5399-4CC6-90A7-6046F39FAC3E 2 0.0424 0.91845 0.000 0.992 0.008
#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 1 0.0747 0.73097 0.984 0.000 0.016
#> 99D8A9E2-773C-4142-9A93-5F749961F712 1 0.2448 0.70591 0.924 0.000 0.076
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 3 0.3112 0.64926 0.004 0.096 0.900
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 3 0.7074 0.14720 0.480 0.020 0.500
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 3 0.6513 0.29401 0.008 0.400 0.592
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 1 0.7059 -0.08873 0.520 0.020 0.460
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 2 0.1031 0.91413 0.000 0.976 0.024
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 1 0.8690 -0.19568 0.456 0.104 0.440
#> 14003AA2-81B6-4143-98AD-124903BAE56B 1 0.0892 0.73793 0.980 0.020 0.000
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.0892 0.73793 0.980 0.020 0.000
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0424 0.91811 0.008 0.992 0.000
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.0892 0.91379 0.020 0.980 0.000
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.0237 0.91875 0.000 0.996 0.004
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 2 0.2878 0.87446 0.000 0.904 0.096
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 1 0.7377 0.22350 0.516 0.452 0.032
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.0892 0.73793 0.980 0.020 0.000
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 3 0.6305 0.14093 0.484 0.000 0.516
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 2 0.6291 0.05604 0.000 0.532 0.468
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.3112 0.64926 0.004 0.096 0.900
#> 420503AA-3799-4816-BEEC-0B4D05988D38 2 0.1860 0.90784 0.000 0.948 0.052
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 3 0.6305 0.14093 0.484 0.000 0.516
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.6308 -0.06238 0.508 0.000 0.492
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.1860 0.90784 0.000 0.948 0.052
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0892 0.73793 0.980 0.020 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.4062 0.64694 0.836 0.000 0.164
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.1860 0.90784 0.000 0.948 0.052
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 1 0.0892 0.73793 0.980 0.020 0.000
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.0424 0.91856 0.000 0.992 0.008
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0592 0.91725 0.012 0.988 0.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0592 0.91725 0.012 0.988 0.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 3 0.6305 0.14093 0.484 0.000 0.516
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.1860 0.90784 0.000 0.948 0.052
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.1031 0.91413 0.000 0.976 0.024
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0592 0.91725 0.012 0.988 0.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 2 0.3412 0.83600 0.000 0.876 0.124
#> B822A426-98C1-4976-9FC2-16347992AD78 3 0.8880 0.27403 0.416 0.120 0.464
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0592 0.91725 0.012 0.988 0.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.5138 0.55744 0.748 0.000 0.252
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0592 0.91725 0.012 0.988 0.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.3112 0.64926 0.004 0.096 0.900
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.1860 0.90784 0.000 0.948 0.052
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.3112 0.64926 0.004 0.096 0.900
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 1 0.3752 0.65853 0.856 0.144 0.000
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.1129 0.73764 0.976 0.020 0.004
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.1860 0.89275 0.052 0.948 0.000
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.2356 0.71500 0.928 0.072 0.000
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0592 0.91725 0.012 0.988 0.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 1 0.2878 0.69974 0.904 0.096 0.000
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 2 0.6291 0.05604 0.000 0.532 0.468
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.8379 0.39704 0.352 0.096 0.552
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0592 0.91801 0.000 0.988 0.012
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.3686 0.66181 0.860 0.140 0.000
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.7919 -0.16992 0.480 0.056 0.464
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 3 0.9411 0.42078 0.212 0.288 0.500
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0892 0.73793 0.980 0.020 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.7581 0.03725 0.548 0.044 0.408
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.6045 0.30437 0.620 0.000 0.380
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 3 0.6305 0.14093 0.484 0.000 0.516
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.0892 0.73793 0.980 0.020 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 3 0.8574 0.25487 0.432 0.096 0.472
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 3 0.3573 0.62952 0.004 0.120 0.876
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 3 0.6307 0.12674 0.488 0.000 0.512
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.6062 0.29854 0.616 0.000 0.384
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.1031 0.91413 0.000 0.976 0.024
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0892 0.73793 0.980 0.020 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0424 0.91862 0.000 0.992 0.008
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0747 0.73151 0.984 0.000 0.016
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.1989 0.73037 0.948 0.048 0.004
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 3 0.7941 0.48835 0.276 0.096 0.628
#> FAA38111-F046-4ACD-B787-764A17EAF548 1 0.1643 0.72893 0.956 0.044 0.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 1 0.3941 0.64561 0.844 0.156 0.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0592 0.91725 0.012 0.988 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.7918 -0.16164 0.484 0.056 0.460
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.1860 0.90784 0.000 0.948 0.052
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.3816 0.65818 0.852 0.148 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.1860 0.90784 0.000 0.948 0.052
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.3112 0.64926 0.004 0.096 0.900
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.1015 0.91873 0.012 0.980 0.008
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.7809 0.32574 0.056 0.396 0.548
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.8211 -0.07028 0.520 0.076 0.404
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.1031 0.91413 0.000 0.976 0.024
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0000 0.91879 0.000 1.000 0.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.8210 -0.20376 0.468 0.072 0.460
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0592 0.91725 0.012 0.988 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.1129 0.73764 0.976 0.020 0.004
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.3112 0.64926 0.004 0.096 0.900
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 3 0.6307 0.12674 0.488 0.000 0.512
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 3 0.6307 0.12674 0.488 0.000 0.512
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0892 0.73793 0.980 0.020 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.1860 0.90784 0.000 0.948 0.052
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.6949 0.53072 0.732 0.112 0.156
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0424 0.91817 0.008 0.992 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0892 0.73793 0.980 0.020 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.3764 0.63562 0.040 0.068 0.892
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.1031 0.91413 0.000 0.976 0.024
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.4399 0.58318 0.000 0.188 0.812
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.6291 0.22286 0.000 0.532 0.468
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.3112 0.64926 0.004 0.096 0.900
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.3752 0.66113 0.856 0.144 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0892 0.73793 0.980 0.020 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.1129 0.73764 0.976 0.020 0.004
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0892 0.73793 0.980 0.020 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.1031 0.91413 0.000 0.976 0.024
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0747 0.73151 0.984 0.000 0.016
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.1031 0.91413 0.000 0.976 0.024
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0424 0.73349 0.992 0.000 0.008
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 3 0.4047 0.61914 0.004 0.148 0.848
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.4504 0.58673 0.000 0.196 0.804
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.1182 0.73522 0.976 0.012 0.012
#> 1F120308-A696-4411-9470-F6546EA5DE04 3 0.6305 0.14093 0.484 0.000 0.516
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.3112 0.64926 0.004 0.096 0.900
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.6302 -0.01482 0.520 0.000 0.480
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.1860 0.90784 0.000 0.948 0.052
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.4059 0.67007 0.860 0.012 0.128
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.2860 0.64525 0.004 0.084 0.912
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 3 0.6305 0.14093 0.484 0.000 0.516
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0592 0.73162 0.988 0.000 0.012
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.8633 -0.21402 0.100 0.464 0.436
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.6302 -0.01482 0.520 0.000 0.480
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.3349 0.64612 0.004 0.108 0.888
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.3112 0.64926 0.004 0.096 0.900
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0747 0.73097 0.984 0.000 0.016
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.1031 0.91413 0.000 0.976 0.024
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.1031 0.73725 0.976 0.024 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0829 0.91816 0.012 0.984 0.004
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.1860 0.90784 0.000 0.948 0.052
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.0237 0.91875 0.000 0.996 0.004
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0592 0.91725 0.012 0.988 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.2680 0.63845 0.008 0.068 0.924
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.1129 0.73764 0.976 0.020 0.004
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.6192 0.07355 0.580 0.000 0.420
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.1129 0.73764 0.976 0.020 0.004
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0237 0.91864 0.004 0.996 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.8452 0.37828 0.372 0.096 0.532
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.1860 0.90784 0.000 0.948 0.052
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.6302 -0.01482 0.520 0.000 0.480
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0892 0.73793 0.980 0.020 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0983 0.91766 0.004 0.980 0.016
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.2216 0.834044 0.000 0.000 0.092 0.908
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.4500 0.502005 0.000 0.684 0.316 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.930845 1.000 0.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.4477 0.774876 0.108 0.000 0.084 0.808
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.4978 0.560493 0.012 0.000 0.324 0.664
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.3444 0.735089 0.816 0.000 0.184 0.000
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#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.0000 0.906064 0.000 0.000 1.000 0.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 4 0.4500 0.550026 0.000 0.316 0.000 0.684
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 4 0.4817 0.426481 0.000 0.388 0.000 0.612
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 2 0.7816 -0.120398 0.272 0.412 0.316 0.000
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 4 0.4543 0.573501 0.000 0.000 0.324 0.676
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 4 0.3172 0.747029 0.000 0.160 0.000 0.840
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.5604 0.635386 0.724 0.000 0.116 0.160
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 1 0.2081 0.855340 0.916 0.000 0.084 0.000
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 4 0.5972 0.652815 0.132 0.000 0.176 0.692
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.0188 0.928107 0.996 0.000 0.000 0.004
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.930845 1.000 0.000 0.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 4 0.4522 0.579634 0.000 0.000 0.320 0.680
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 3 0.0804 0.893223 0.000 0.012 0.980 0.008
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.930845 1.000 0.000 0.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.930845 1.000 0.000 0.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 3 0.0657 0.895681 0.012 0.000 0.984 0.004
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.2408 0.806844 0.000 0.104 0.000 0.896
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 4 0.4713 0.481309 0.000 0.360 0.000 0.640
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0000 0.930845 1.000 0.000 0.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 2 0.1474 0.904730 0.000 0.948 0.000 0.052
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.906064 0.000 0.000 1.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.9606 0.167791 0.268 0.120 0.316 0.296
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 4 0.2281 0.831559 0.000 0.000 0.096 0.904
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 4 0.6258 0.468267 0.076 0.000 0.324 0.600
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.906064 0.000 0.000 1.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.930845 1.000 0.000 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.930845 1.000 0.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.0657 0.884926 0.000 0.004 0.012 0.984
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.4454 0.524918 0.692 0.000 0.308 0.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.3356 0.773300 0.000 0.824 0.176 0.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0469 0.943409 0.000 0.988 0.012 0.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.906064 0.000 0.000 1.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 2 0.0469 0.942451 0.000 0.988 0.000 0.012
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.5000 0.014242 0.000 0.500 0.500 0.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.4543 0.487163 0.000 0.676 0.324 0.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.930845 1.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.906064 0.000 0.000 1.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.930845 1.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.906064 0.000 0.000 1.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.930845 1.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.7577 0.195383 0.428 0.376 0.000 0.196
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.930845 1.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.4072 0.637885 0.000 0.252 0.748 0.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.906064 0.000 0.000 1.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 4 0.2921 0.797272 0.140 0.000 0.000 0.860
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 1 0.4643 0.454660 0.656 0.000 0.344 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> 002A3E61-7200-4B45-9704-6A9360233390 4 0.3074 0.783098 0.000 0.000 0.152 0.848
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0336 0.945654 0.000 0.992 0.008 0.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.4543 0.573501 0.000 0.000 0.324 0.676
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.951006 0.000 1.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.930845 1.000 0.000 0.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0000 0.892151 0.000 0.000 0.000 1.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.951006 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0290 0.9380 0.000 0.992 0.000 0.008 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.3042 0.8828 0.000 0.044 0.020 0.880 0.056
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.3119 0.7997 0.000 0.068 0.072 0.000 0.860
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.9536 1.000 0.000 0.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.2748 0.8869 0.016 0.000 0.008 0.880 0.096
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 4 0.3610 0.8680 0.020 0.000 0.048 0.844 0.088
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.1403 0.9259 0.952 0.000 0.024 0.000 0.024
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.6044 0.3710 0.344 0.044 0.572 0.008 0.032
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.9446 0.000 1.000 0.000 0.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.9536 1.000 0.000 0.000 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9446 0.000 1.000 0.000 0.000 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.3536 0.7959 0.000 0.156 0.000 0.812 0.032
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.1444 0.9191 0.000 0.948 0.012 0.000 0.040
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.1965 0.8953 0.000 0.000 0.000 0.904 0.096
#> C8041089-E148-4B33-BBB7-9298B81A8832 4 0.1478 0.8997 0.000 0.000 0.000 0.936 0.064
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.9536 1.000 0.000 0.000 0.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.2535 0.8684 0.000 0.076 0.000 0.892 0.032
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.2561 0.8575 0.000 0.144 0.000 0.000 0.856
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.2654 0.8839 0.000 0.000 0.032 0.884 0.084
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 4 0.4163 0.7191 0.228 0.000 0.000 0.740 0.032
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0000 0.9446 0.000 1.000 0.000 0.000 0.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 4 0.3003 0.8832 0.016 0.000 0.020 0.872 0.092
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.2730 0.8352 0.000 0.044 0.892 0.008 0.056
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.1544 0.8991 0.000 0.000 0.000 0.932 0.068
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0880 0.9318 0.000 0.968 0.000 0.000 0.032
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9536 1.000 0.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.3312 0.8079 0.840 0.016 0.012 0.000 0.132
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.3876 0.5859 0.000 0.316 0.000 0.684 0.000
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.3285 0.8483 0.868 0.000 0.036 0.032 0.064
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.9446 0.000 1.000 0.000 0.000 0.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.2656 0.8806 0.896 0.000 0.012 0.028 0.064
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.0404 0.9010 0.000 0.000 0.000 0.988 0.012
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0510 0.9003 0.000 0.000 0.000 0.984 0.016
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.4904 0.7808 0.000 0.044 0.132 0.760 0.064
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9536 1.000 0.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 5 0.5022 0.6059 0.252 0.016 0.044 0.000 0.688
#> 333F9855-9462-46B8-87C8-E9B01572C101 2 0.3203 0.7014 0.000 0.820 0.000 0.168 0.012
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0510 0.9474 0.984 0.000 0.000 0.000 0.016
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.1549 0.8969 0.040 0.000 0.000 0.944 0.016
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0510 0.9003 0.000 0.000 0.000 0.984 0.016
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0609 0.9380 0.000 0.980 0.000 0.000 0.020
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9446 0.000 1.000 0.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.9536 1.000 0.000 0.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 4 0.2124 0.8918 0.004 0.000 0.000 0.900 0.096
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.9536 1.000 0.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.0510 0.9003 0.000 0.000 0.000 0.984 0.016
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.3207 0.8201 0.000 0.048 0.872 0.024 0.056
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.9446 0.000 1.000 0.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.1792 0.8862 0.000 0.916 0.000 0.000 0.084
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.9536 1.000 0.000 0.000 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.9446 0.000 1.000 0.000 0.000 0.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.4329 0.4608 0.672 0.000 0.000 0.312 0.016
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0794 0.9341 0.000 0.972 0.000 0.000 0.028
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 4 0.4584 0.8170 0.000 0.076 0.056 0.792 0.076
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.8851 0.000 0.000 1.000 0.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0000 0.9446 0.000 1.000 0.000 0.000 0.000
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0703 0.9435 0.976 0.000 0.000 0.000 0.024
#> B0245553-F100-4235-BFC2-AB908C42E401 4 0.1768 0.8975 0.004 0.000 0.000 0.924 0.072
#> F42EDEA7-271C-4A65-8113-62FA64424535 4 0.3841 0.7577 0.000 0.188 0.000 0.780 0.032
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0000 0.9446 0.000 1.000 0.000 0.000 0.000
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#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.3229 0.8256 0.000 0.128 0.000 0.840 0.032
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 5 0.3561 0.7684 0.000 0.260 0.000 0.000 0.740
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.8851 0.000 0.000 1.000 0.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0162 0.9436 0.000 0.996 0.000 0.000 0.004
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 1 0.7273 0.1009 0.516 0.128 0.060 0.008 0.288
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 4 0.2570 0.8853 0.000 0.000 0.028 0.888 0.084
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.9446 0.000 1.000 0.000 0.000 0.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0510 0.9395 0.000 0.984 0.000 0.000 0.016
#> 8DBE419E-A360-4493-AC3B-C145887D9237 4 0.7420 0.1359 0.372 0.000 0.120 0.424 0.084
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.9446 0.000 1.000 0.000 0.000 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 4 0.0404 0.9010 0.000 0.000 0.000 0.988 0.012
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.8851 0.000 0.000 1.000 0.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.9536 1.000 0.000 0.000 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0162 0.9523 0.996 0.000 0.000 0.000 0.004
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.0404 0.9007 0.000 0.000 0.000 0.988 0.012
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.3274 0.7972 0.000 0.220 0.000 0.000 0.780
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.2585 0.8915 0.000 0.036 0.004 0.896 0.064
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0290 0.9425 0.000 0.992 0.000 0.000 0.008
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 4 0.0404 0.9007 0.000 0.000 0.000 0.988 0.012
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.2511 0.8627 0.892 0.000 0.080 0.000 0.028
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0880 0.9318 0.000 0.968 0.000 0.000 0.032
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.3919 0.6373 0.000 0.188 0.776 0.000 0.036
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.5153 0.1673 0.000 0.436 0.524 0.000 0.040
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.8851 0.000 0.000 1.000 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.4134 0.7097 0.000 0.224 0.000 0.744 0.032
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.0404 0.9007 0.000 0.000 0.000 0.988 0.012
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.0162 0.9012 0.000 0.000 0.000 0.996 0.004
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.0404 0.9010 0.000 0.000 0.000 0.988 0.012
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0880 0.9318 0.000 0.968 0.000 0.000 0.032
#> C958FCED-BB40-4823-B839-6A31C6988A32 4 0.1768 0.8975 0.004 0.000 0.000 0.924 0.072
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0880 0.9318 0.000 0.968 0.000 0.000 0.032
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.1121 0.9016 0.000 0.000 0.000 0.956 0.044
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 3 0.3772 0.6671 0.000 0.172 0.792 0.000 0.036
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.3565 0.7097 0.000 0.144 0.816 0.000 0.040
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 4 0.0162 0.9016 0.000 0.000 0.000 0.996 0.004
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.9536 1.000 0.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.8851 0.000 0.000 1.000 0.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.9536 1.000 0.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0162 0.9436 0.000 0.996 0.000 0.000 0.004
#> 57373041-9D22-4DB1-AA56-97733339391B 4 0.0451 0.9014 0.004 0.000 0.000 0.988 0.008
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.8851 0.000 0.000 1.000 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.9536 1.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 4 0.1410 0.9004 0.000 0.000 0.000 0.940 0.060
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.4523 0.6684 0.780 0.128 0.004 0.012 0.076
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9536 1.000 0.000 0.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.3372 0.7601 0.000 0.120 0.840 0.004 0.036
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.8851 0.000 0.000 1.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 4 0.1943 0.8979 0.020 0.000 0.000 0.924 0.056
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0880 0.9318 0.000 0.968 0.000 0.000 0.032
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.0880 0.9015 0.000 0.000 0.000 0.968 0.032
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.9446 0.000 1.000 0.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0162 0.9436 0.000 0.996 0.000 0.000 0.004
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.0703 0.9357 0.000 0.976 0.000 0.000 0.024
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.9446 0.000 1.000 0.000 0.000 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.4974 0.1086 0.464 0.000 0.508 0.000 0.028
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0404 0.9010 0.000 0.000 0.000 0.988 0.012
#> 002A3E61-7200-4B45-9704-6A9360233390 4 0.2653 0.8862 0.000 0.000 0.024 0.880 0.096
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.0404 0.9010 0.000 0.000 0.000 0.988 0.012
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0794 0.9338 0.000 0.972 0.000 0.000 0.028
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.4364 0.7901 0.000 0.000 0.148 0.764 0.088
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.9446 0.000 1.000 0.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.9536 1.000 0.000 0.000 0.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0404 0.9007 0.000 0.000 0.000 0.988 0.012
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0162 0.9436 0.000 0.996 0.000 0.000 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0146 0.8683 0.000 0.996 0.000 0.000 0.000 0.004
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.3097 0.7989 0.000 0.028 0.000 0.856 0.080 0.036
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.3789 0.4101 0.000 0.000 0.000 0.000 0.584 0.416
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0632 0.8675 0.976 0.000 0.000 0.000 0.000 0.024
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.3639 0.7648 0.020 0.000 0.000 0.816 0.068 0.096
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 5 0.7139 -0.1016 0.024 0.000 0.096 0.384 0.396 0.100
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.1838 0.8440 0.916 0.000 0.000 0.000 0.068 0.016
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.7418 0.2492 0.168 0.004 0.372 0.056 0.368 0.032
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.8682 0.000 1.000 0.000 0.000 0.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.8691 1.000 0.000 0.000 0.000 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0291 0.8675 0.000 0.992 0.000 0.000 0.004 0.004
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.4703 0.6136 0.000 0.152 0.000 0.684 0.000 0.164
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.3499 0.5809 0.000 0.680 0.000 0.000 0.000 0.320
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.1265 0.8299 0.000 0.000 0.000 0.948 0.008 0.044
#> C8041089-E148-4B33-BBB7-9298B81A8832 4 0.0458 0.8311 0.000 0.000 0.000 0.984 0.000 0.016
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.1204 0.8582 0.944 0.000 0.000 0.000 0.000 0.056
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.2632 0.7733 0.000 0.004 0.000 0.832 0.000 0.164
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.4630 0.4363 0.000 0.048 0.000 0.000 0.580 0.372
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.2420 0.8151 0.000 0.000 0.000 0.884 0.076 0.040
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 4 0.5824 0.3944 0.316 0.000 0.000 0.548 0.036 0.100
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0146 0.8683 0.000 0.996 0.000 0.000 0.000 0.004
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 4 0.5820 0.5699 0.096 0.000 0.000 0.636 0.168 0.100
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.4219 0.5691 0.000 0.000 0.592 0.020 0.388 0.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.1075 0.8260 0.000 0.000 0.000 0.952 0.000 0.048
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.2562 0.7651 0.000 0.828 0.000 0.000 0.000 0.172
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.1204 0.8582 0.944 0.000 0.000 0.000 0.000 0.056
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.3646 0.7096 0.776 0.000 0.000 0.000 0.052 0.172
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.5262 -0.1409 0.000 0.452 0.000 0.452 0.000 0.096
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.6629 0.0692 0.408 0.000 0.000 0.096 0.396 0.100
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0146 0.8683 0.000 0.996 0.000 0.000 0.000 0.004
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.5565 0.5006 0.648 0.000 0.000 0.192 0.060 0.100
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 4 0.0713 0.8313 0.000 0.000 0.000 0.972 0.000 0.028
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.1765 0.8149 0.000 0.000 0.000 0.904 0.000 0.096
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.5297 0.3087 0.000 0.004 0.060 0.524 0.400 0.012
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.1204 0.8582 0.944 0.000 0.000 0.000 0.000 0.056
#> 2A08011A-E15E-4754-B560-4637EF3A446B 1 0.5761 0.0611 0.432 0.000 0.000 0.000 0.172 0.396
#> 333F9855-9462-46B8-87C8-E9B01572C101 2 0.4056 0.5916 0.000 0.748 0.000 0.184 0.004 0.064
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.1655 0.8486 0.932 0.000 0.000 0.008 0.008 0.052
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 4 0.1753 0.8144 0.004 0.000 0.000 0.912 0.000 0.084
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.1910 0.8097 0.000 0.000 0.000 0.892 0.000 0.108
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0713 0.8587 0.000 0.972 0.000 0.000 0.000 0.028
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.8682 0.000 1.000 0.000 0.000 0.000 0.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0260 0.8691 0.992 0.000 0.000 0.000 0.000 0.008
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 4 0.2250 0.8110 0.000 0.000 0.000 0.896 0.040 0.064
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.1204 0.8582 0.944 0.000 0.000 0.000 0.000 0.056
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.1267 0.8253 0.000 0.000 0.000 0.940 0.000 0.060
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.5851 0.3736 0.000 0.004 0.456 0.144 0.392 0.004
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0508 0.8645 0.000 0.984 0.000 0.000 0.012 0.004
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.3578 0.7087 0.000 0.784 0.000 0.000 0.164 0.052
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0260 0.8688 0.992 0.000 0.000 0.000 0.000 0.008
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0146 0.8683 0.000 0.996 0.000 0.000 0.000 0.004
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 4 0.4760 0.4205 0.328 0.000 0.000 0.604 0.000 0.068
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.1075 0.8489 0.000 0.952 0.000 0.000 0.000 0.048
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 4 0.5117 0.3170 0.000 0.056 0.000 0.532 0.400 0.012
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0146 0.7091 0.000 0.000 0.996 0.000 0.004 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.0146 0.8683 0.000 0.996 0.000 0.000 0.000 0.004
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.1564 0.8519 0.936 0.000 0.000 0.000 0.040 0.024
#> B0245553-F100-4235-BFC2-AB908C42E401 4 0.1926 0.8160 0.000 0.000 0.000 0.912 0.020 0.068
#> F42EDEA7-271C-4A65-8113-62FA64424535 4 0.4921 0.5696 0.000 0.180 0.000 0.656 0.000 0.164
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0146 0.8683 0.000 0.996 0.000 0.000 0.000 0.004
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.3647 0.6113 0.000 0.000 0.640 0.000 0.360 0.000
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0547 0.8681 0.980 0.000 0.000 0.000 0.000 0.020
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.0000 0.8682 0.000 1.000 0.000 0.000 0.000 0.000
#> D6654189-0570-4603-8C92-3032F2CF7EF3 2 0.2941 0.7154 0.000 0.780 0.000 0.000 0.000 0.220
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0508 0.8645 0.000 0.984 0.000 0.000 0.012 0.004
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.0000 0.7081 0.000 0.000 1.000 0.000 0.000 0.000
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 4 0.5182 0.3212 0.000 0.372 0.000 0.532 0.000 0.096
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.3023 0.6721 0.000 0.000 0.768 0.000 0.232 0.000
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.0291 0.8675 0.000 0.992 0.000 0.000 0.004 0.004
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.5224 0.4996 0.000 0.228 0.000 0.608 0.000 0.164
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0937 0.8533 0.000 0.960 0.000 0.000 0.000 0.040
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.3647 0.6113 0.000 0.000 0.640 0.000 0.360 0.000
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 5 0.6822 -0.1133 0.000 0.000 0.196 0.348 0.396 0.060
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.1714 0.8156 0.000 0.000 0.000 0.908 0.000 0.092
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.0000 0.8682 0.000 1.000 0.000 0.000 0.000 0.000
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.7081 0.000 0.000 1.000 0.000 0.000 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.0146 0.8683 0.000 0.996 0.000 0.000 0.000 0.004
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 2 0.0291 0.8675 0.000 0.992 0.000 0.000 0.004 0.004
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.1327 0.8250 0.000 0.000 0.000 0.936 0.000 0.064
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.2135 0.8000 0.000 0.000 0.000 0.872 0.000 0.128
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.0146 0.8683 0.000 0.996 0.000 0.000 0.000 0.004
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0146 0.8683 0.000 0.996 0.000 0.000 0.000 0.004
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#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0713 0.8611 0.000 0.972 0.000 0.000 0.000 0.028
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 1 0.7449 -0.1950 0.364 0.196 0.000 0.000 0.284 0.156
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 4 0.2432 0.8028 0.000 0.000 0.000 0.876 0.100 0.024
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0508 0.8645 0.000 0.984 0.000 0.000 0.012 0.004
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0146 0.8683 0.000 0.996 0.000 0.000 0.000 0.004
#> 8DBE419E-A360-4493-AC3B-C145887D9237 5 0.8031 -0.0810 0.212 0.000 0.064 0.228 0.396 0.100
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.8682 0.000 1.000 0.000 0.000 0.000 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 4 0.1141 0.8270 0.000 0.000 0.000 0.948 0.000 0.052
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.7081 0.000 0.000 1.000 0.000 0.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0458 0.8686 0.984 0.000 0.000 0.000 0.000 0.016
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0405 0.8692 0.988 0.000 0.000 0.000 0.008 0.004
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.1141 0.8275 0.000 0.000 0.000 0.948 0.000 0.052
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.5800 0.1180 0.000 0.396 0.000 0.000 0.424 0.180
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.2138 0.8251 0.000 0.004 0.000 0.908 0.052 0.036
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.8682 0.000 1.000 0.000 0.000 0.000 0.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 4 0.1007 0.8282 0.000 0.000 0.000 0.956 0.000 0.044
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.2121 0.8195 0.892 0.000 0.000 0.000 0.096 0.012
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.2996 0.7085 0.000 0.772 0.000 0.000 0.000 0.228
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 6 0.7710 0.3208 0.000 0.208 0.264 0.000 0.264 0.264
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.5898 0.1390 0.000 0.512 0.148 0.000 0.016 0.324
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.7081 0.000 0.000 1.000 0.000 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.5346 0.4671 0.000 0.252 0.000 0.584 0.000 0.164
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.0790 0.8308 0.000 0.000 0.000 0.968 0.000 0.032
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.0790 0.8329 0.000 0.000 0.000 0.968 0.000 0.032
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.0632 0.8317 0.000 0.000 0.000 0.976 0.000 0.024
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.3198 0.6702 0.000 0.740 0.000 0.000 0.000 0.260
#> C958FCED-BB40-4823-B839-6A31C6988A32 4 0.1908 0.8176 0.000 0.000 0.000 0.916 0.028 0.056
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.3175 0.6755 0.000 0.744 0.000 0.000 0.000 0.256
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.1141 0.8254 0.000 0.000 0.000 0.948 0.000 0.052
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 6 0.7700 0.3370 0.000 0.208 0.240 0.000 0.276 0.276
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.6273 -0.2600 0.000 0.400 0.272 0.000 0.008 0.320
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 4 0.0260 0.8317 0.000 0.000 0.000 0.992 0.000 0.008
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.1204 0.8582 0.944 0.000 0.000 0.000 0.000 0.056
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0260 0.7083 0.000 0.000 0.992 0.000 0.008 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0260 0.8684 0.992 0.000 0.000 0.000 0.000 0.008
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.1088 0.8576 0.000 0.960 0.000 0.000 0.024 0.016
#> 57373041-9D22-4DB1-AA56-97733339391B 4 0.1471 0.8249 0.004 0.000 0.000 0.932 0.000 0.064
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.7081 0.000 0.000 1.000 0.000 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.1204 0.8582 0.944 0.000 0.000 0.000 0.000 0.056
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 4 0.0458 0.8311 0.000 0.000 0.000 0.984 0.000 0.016
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.5559 0.4179 0.592 0.068 0.000 0.004 0.300 0.036
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0260 0.8684 0.992 0.000 0.000 0.000 0.000 0.008
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.5682 0.4604 0.000 0.084 0.540 0.000 0.344 0.032
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.7081 0.000 0.000 1.000 0.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 4 0.2563 0.8030 0.008 0.000 0.000 0.880 0.028 0.084
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.1610 0.8311 0.000 0.916 0.000 0.000 0.000 0.084
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.1814 0.8126 0.000 0.000 0.000 0.900 0.000 0.100
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.8682 0.000 1.000 0.000 0.000 0.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0777 0.8591 0.000 0.972 0.000 0.000 0.024 0.004
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.0146 0.8683 0.000 0.996 0.000 0.000 0.000 0.004
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0458 0.8637 0.000 0.984 0.000 0.000 0.000 0.016
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 1 0.5846 0.0857 0.484 0.000 0.140 0.000 0.364 0.012
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.0937 0.8304 0.000 0.000 0.000 0.960 0.000 0.040
#> 002A3E61-7200-4B45-9704-6A9360233390 4 0.1789 0.8222 0.000 0.000 0.000 0.924 0.044 0.032
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.1204 0.8279 0.000 0.000 0.000 0.944 0.000 0.056
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.2378 0.7804 0.000 0.848 0.000 0.000 0.000 0.152
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.6740 0.0821 0.008 0.000 0.132 0.404 0.396 0.060
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0858 0.8571 0.000 0.968 0.000 0.000 0.028 0.004
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0363 0.8679 0.988 0.000 0.000 0.000 0.000 0.012
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.1204 0.8263 0.000 0.000 0.000 0.944 0.000 0.056
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0146 0.8683 0.000 0.996 0.000 0.000 0.000 0.004
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "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 17416 rows and 433 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.974 0.989 0.5002 0.501 0.501
#> 3 3 0.930 0.929 0.969 0.3039 0.669 0.439
#> 4 4 0.704 0.686 0.871 0.1274 0.824 0.556
#> 5 5 0.622 0.541 0.746 0.0695 0.808 0.435
#> 6 6 0.682 0.632 0.794 0.0393 0.877 0.527
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2
There is also optional best \(k\) = 2 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 136B7576-1108-4FA3-8254-6069F0CA879A 1 0.0000 0.9849 1.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 1 0.5737 0.8414 0.864 0.136
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.0000 0.9932 0.000 1.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.9849 1.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.0000 0.9849 1.000 0.000
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.0000 0.9849 1.000 0.000
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 2 0.0000 0.9932 0.000 1.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 2 0.0000 0.9932 0.000 1.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.9932 0.000 1.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.9849 1.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.0000 0.9932 0.000 1.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 1 0.0000 0.9849 1.000 0.000
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 2 0.0000 0.9932 0.000 1.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 1 0.0000 0.9849 1.000 0.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 1 0.0000 0.9849 1.000 0.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0000 0.9849 1.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 1 0.0000 0.9849 1.000 0.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.0000 0.9932 0.000 1.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 1 0.0000 0.9849 1.000 0.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.9849 1.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.0000 0.9932 0.000 1.000
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.0000 0.9849 1.000 0.000
#> C1323790-6C24-4E54-A266-AE66588C1DD5 2 0.0000 0.9932 0.000 1.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 1 0.0000 0.9849 1.000 0.000
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.0000 0.9932 0.000 1.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.9849 1.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.0000 0.9932 0.000 1.000
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 1 0.0376 0.9814 0.996 0.004
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 1 0.0000 0.9849 1.000 0.000
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.0000 0.9932 0.000 1.000
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.0000 0.9849 1.000 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0000 0.9849 1.000 0.000
#> 4AAD7B53-9AA9-404B-8888-13160458E476 1 0.0000 0.9849 1.000 0.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 2 0.0376 0.9897 0.004 0.996
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.9849 1.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.0000 0.9932 0.000 1.000
#> 333F9855-9462-46B8-87C8-E9B01572C101 1 0.0000 0.9849 1.000 0.000
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.9849 1.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.9849 1.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 1 0.0000 0.9849 1.000 0.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.9932 0.000 1.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.0000 0.9932 0.000 1.000
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.9849 1.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 1 0.0000 0.9849 1.000 0.000
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.9849 1.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 1 0.0000 0.9849 1.000 0.000
#> 9BDFB73A-076E-418B-B84E-381341688002 2 0.0000 0.9932 0.000 1.000
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.9932 0.000 1.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.0000 0.9932 0.000 1.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.9849 1.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.0000 0.9932 0.000 1.000
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.9849 1.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.9932 0.000 1.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 2 0.0000 0.9932 0.000 1.000
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 2 0.0000 0.9932 0.000 1.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 1 0.2043 0.9554 0.968 0.032
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.9849 1.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 1 0.0000 0.9849 1.000 0.000
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#> EC4209C8-C1AD-47FF-A6D8-771D18270EA1 2 0.0000 0.9932 0.000 1.000
#> 0B367451-F169-4F59-80BB-CF2D51799DE8 2 0.0000 0.9932 0.000 1.000
#> CECB1E03-6390-4532-8573-BB6453A99D55 1 0.6048 0.8259 0.852 0.148
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#> 3D6CE155-4E02-4739-A8C9-30981EA9B0B1 1 0.0000 0.9849 1.000 0.000
#> 0A3AB174-07D0-4396-A6C5-9ECEEBE8651C 1 0.0000 0.9849 1.000 0.000
#> 86ACC3DD-A9E8-4FDA-ACF9-33175CE06629 1 0.0000 0.9849 1.000 0.000
#> A3150223-5399-4CC6-90A7-6046F39FAC3E 2 0.0000 0.9932 0.000 1.000
#> 15EDF2DE-2AEB-4704-A97C-8D0CA47A926D 1 0.0000 0.9849 1.000 0.000
#> 99D8A9E2-773C-4142-9A93-5F749961F712 1 0.0000 0.9849 1.000 0.000
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 2 0.0000 0.9932 0.000 1.000
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 1 0.3431 0.9233 0.936 0.064
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 2 0.0000 0.9932 0.000 1.000
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 1 0.0000 0.9849 1.000 0.000
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 2 0.0000 0.9932 0.000 1.000
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 2 0.4161 0.9072 0.084 0.916
#> 14003AA2-81B6-4143-98AD-124903BAE56B 1 0.0000 0.9849 1.000 0.000
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 1 0.0000 0.9849 1.000 0.000
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0000 0.9932 0.000 1.000
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 1 0.7139 0.7603 0.804 0.196
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 2 0.0000 0.9932 0.000 1.000
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 2 0.0000 0.9932 0.000 1.000
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 2 0.4431 0.8981 0.092 0.908
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 1 0.0000 0.9849 1.000 0.000
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0000 0.9849 1.000 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 2 0.0000 0.9932 0.000 1.000
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 2 0.0000 0.9932 0.000 1.000
#> 420503AA-3799-4816-BEEC-0B4D05988D38 2 0.0000 0.9932 0.000 1.000
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.0000 0.9849 1.000 0.000
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.0000 0.9849 1.000 0.000
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 2 0.0000 0.9932 0.000 1.000
#> E1F863F8-90F0-402C-8433-95F522DDCE63 1 0.0000 0.9849 1.000 0.000
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 1 0.0000 0.9849 1.000 0.000
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.0000 0.9932 0.000 1.000
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 1 0.0000 0.9849 1.000 0.000
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.0000 0.9932 0.000 1.000
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.0000 0.9932 0.000 1.000
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0000 0.9932 0.000 1.000
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.0000 0.9849 1.000 0.000
#> B232056E-59B2-4D05-983D-8740D6994A71 2 0.0000 0.9932 0.000 1.000
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.0000 0.9932 0.000 1.000
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.0000 0.9932 0.000 1.000
#> 000F8487-E841-4370-B958-85AB3A6D88F9 2 0.0000 0.9932 0.000 1.000
#> B822A426-98C1-4976-9FC2-16347992AD78 2 0.0000 0.9932 0.000 1.000
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0000 0.9932 0.000 1.000
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.0000 0.9849 1.000 0.000
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.0000 0.9932 0.000 1.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 2 0.0000 0.9932 0.000 1.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 2 0.0000 0.9932 0.000 1.000
#> E9894334-C852-4159-9FEB-40292B160CC1 2 0.0000 0.9932 0.000 1.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 1 0.0000 0.9849 1.000 0.000
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 1 0.0000 0.9849 1.000 0.000
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.4431 0.8989 0.092 0.908
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 1 0.0000 0.9849 1.000 0.000
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.0000 0.9932 0.000 1.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 1 0.0000 0.9849 1.000 0.000
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 2 0.0000 0.9932 0.000 1.000
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 2 0.0376 0.9897 0.004 0.996
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.0000 0.9932 0.000 1.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 1 0.0000 0.9849 1.000 0.000
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 1 0.9248 0.5008 0.660 0.340
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 2 0.0000 0.9932 0.000 1.000
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 1 0.0000 0.9849 1.000 0.000
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 1 0.0000 0.9849 1.000 0.000
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.0000 0.9849 1.000 0.000
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.0000 0.9849 1.000 0.000
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 1 0.0000 0.9849 1.000 0.000
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 2 0.4431 0.8979 0.092 0.908
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 2 0.0000 0.9932 0.000 1.000
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.0000 0.9849 1.000 0.000
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0000 0.9849 1.000 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.0000 0.9932 0.000 1.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 1 0.0000 0.9849 1.000 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.0000 0.9932 0.000 1.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 1 0.0000 0.9849 1.000 0.000
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0000 0.9849 1.000 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0000 0.9849 1.000 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 1 0.0000 0.9849 1.000 0.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 1 0.0000 0.9849 1.000 0.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0000 0.9932 0.000 1.000
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0000 0.9849 1.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 2 0.0000 0.9932 0.000 1.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 1 0.0000 0.9849 1.000 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.0000 0.9932 0.000 1.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 2 0.0000 0.9932 0.000 1.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.9932 0.000 1.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 2 0.0000 0.9932 0.000 1.000
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 1 0.0000 0.9849 1.000 0.000
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.9932 0.000 1.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.0000 0.9932 0.000 1.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.7056 0.7664 0.808 0.192
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.9932 0.000 1.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.0000 0.9849 1.000 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 2 0.0000 0.9932 0.000 1.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.9849 1.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.9849 1.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 1 0.0000 0.9849 1.000 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 2 0.0000 0.9932 0.000 1.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 1 0.2948 0.9356 0.948 0.052
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.0000 0.9932 0.000 1.000
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 1 0.0000 0.9849 1.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 2 0.4562 0.8933 0.096 0.904
#> 5663C145-B465-4509-BA9A-1A40584952BD 2 0.0000 0.9932 0.000 1.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0000 0.9932 0.000 1.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 2 0.0000 0.9932 0.000 1.000
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 2 0.0000 0.9932 0.000 1.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 1 0.0000 0.9849 1.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 1 0.0000 0.9849 1.000 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0000 0.9849 1.000 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.0000 0.9849 1.000 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 2 0.0000 0.9932 0.000 1.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 1 0.0000 0.9849 1.000 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.0000 0.9932 0.000 1.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.0000 0.9849 1.000 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0000 0.9932 0.000 1.000
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 2 0.0000 0.9932 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 1 0.0000 0.9849 1.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.9849 1.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 2 0.0000 0.9932 0.000 1.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.9849 1.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.0000 0.9932 0.000 1.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.9849 1.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 2 0.0000 0.9932 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.9849 1.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 1 0.0000 0.9849 1.000 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0000 0.9849 1.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.9849 1.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 2 0.0000 0.9932 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 2 0.0000 0.9932 0.000 1.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0000 0.9849 1.000 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 2 0.0000 0.9932 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 1 0.0000 0.9849 1.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.9932 0.000 1.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 2 0.0000 0.9932 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.0000 0.9932 0.000 1.000
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.0000 0.9932 0.000 1.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 2 0.0000 0.9932 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0000 0.9849 1.000 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 1 0.0000 0.9849 1.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.9849 1.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.0000 0.9932 0.000 1.000
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 1 0.9323 0.4821 0.652 0.348
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.9932 0.000 1.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.9849 1.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 1 0.0000 0.9849 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.9932 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.0000 0.963 0.000 1.000 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 2 0.0000 0.963 0.000 1.000 0.000
#> B5567E00-32AA-48D8-8087-1088C22B0994 3 0.0000 0.970 0.000 0.000 1.000
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#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.0237 0.966 0.996 0.004 0.000
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 1 0.0747 0.958 0.984 0.016 0.000
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.0000 0.963 0.000 1.000 0.000
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.0000 0.963 0.000 1.000 0.000
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.0424 0.959 0.000 0.992 0.008
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0000 0.968 1.000 0.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 3 0.0000 0.970 0.000 0.000 1.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 2 0.0000 0.963 0.000 1.000 0.000
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 3 0.0000 0.970 0.000 0.000 1.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.970 0.000 0.000 1.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 2 0.0000 0.963 0.000 1.000 0.000
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 3 0.0000 0.970 0.000 0.000 1.000
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 2 0.0000 0.963 0.000 1.000 0.000
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.0000 0.963 0.000 1.000 0.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 3 0.2959 0.872 0.000 0.100 0.900
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.3412 0.839 0.876 0.000 0.124
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.0000 0.963 0.000 1.000 0.000
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 1 0.1031 0.952 0.976 0.024 0.000
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.970 0.000 0.000 1.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0000 0.968 1.000 0.000 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.0000 0.968 1.000 0.000 0.000
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 2 0.0592 0.956 0.012 0.988 0.000
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 3 0.0000 0.970 0.000 0.000 1.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 2 0.0000 0.963 0.000 1.000 0.000
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.3816 0.825 0.000 0.852 0.148
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 2 0.0000 0.963 0.000 1.000 0.000
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 1 0.0424 0.962 0.992 0.000 0.008
#> 5663C145-B465-4509-BA9A-1A40584952BD 3 0.0000 0.970 0.000 0.000 1.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 2 0.0000 0.963 0.000 1.000 0.000
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.5529 0.583 0.000 0.296 0.704
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0000 0.970 0.000 0.000 1.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 2 0.0000 0.963 0.000 1.000 0.000
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 2 0.1529 0.935 0.040 0.960 0.000
#> 56943BD9-EEDA-457A-9F18-ACC397978668 1 0.0237 0.966 0.996 0.004 0.000
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 1 0.6225 0.217 0.568 0.432 0.000
#> D316C207-8020-47A7-8C2D-753CF42223B5 3 0.0000 0.970 0.000 0.000 1.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 2 0.3116 0.872 0.108 0.892 0.000
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 3 0.0000 0.970 0.000 0.000 1.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 1 0.2796 0.885 0.908 0.092 0.000
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 2 0.0237 0.961 0.000 0.996 0.004
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.0000 0.970 0.000 0.000 1.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 2 0.0000 0.963 0.000 1.000 0.000
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.968 1.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.970 0.000 0.000 1.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.968 1.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 3 0.0000 0.970 0.000 0.000 1.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.0000 0.968 1.000 0.000 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.970 0.000 0.000 1.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.968 1.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 2 0.0592 0.956 0.012 0.988 0.000
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 1 0.0000 0.968 1.000 0.000 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.0000 0.968 1.000 0.000 0.000
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0000 0.970 0.000 0.000 1.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0000 0.970 0.000 0.000 1.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 1 0.0237 0.966 0.996 0.004 0.000
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 3 0.0000 0.970 0.000 0.000 1.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 2 0.0000 0.963 0.000 1.000 0.000
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.0000 0.963 0.000 1.000 0.000
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 3 0.0000 0.970 0.000 0.000 1.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 3 0.2537 0.894 0.000 0.080 0.920
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 3 0.0237 0.968 0.000 0.004 0.996
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.970 0.000 0.000 1.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.0592 0.961 0.988 0.012 0.000
#> 002A3E61-7200-4B45-9704-6A9360233390 2 0.0000 0.963 0.000 1.000 0.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0237 0.966 0.996 0.004 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.4291 0.784 0.000 0.820 0.180
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 2 0.7067 0.102 0.020 0.512 0.468
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 3 0.0000 0.970 0.000 0.000 1.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.968 1.000 0.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 2 0.0000 0.963 0.000 1.000 0.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 3 0.0747 0.957 0.000 0.016 0.984
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 136B7576-1108-4FA3-8254-6069F0CA879A 4 0.4103 0.59502 0.000 0.256 0.000 0.744
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 4 0.0592 0.81530 0.000 0.000 0.016 0.984
#> B5567E00-32AA-48D8-8087-1088C22B0994 2 0.4697 0.37593 0.000 0.644 0.356 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.89814 1.000 0.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 1 0.3486 0.74810 0.812 0.000 0.000 0.188
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.7211 0.39503 0.548 0.000 0.248 0.204
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.6280 0.40062 0.604 0.316 0.080 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 3 0.0469 0.85824 0.000 0.012 0.988 0.000
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.0000 0.80082 0.000 1.000 0.000 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0000 0.89814 1.000 0.000 0.000 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.2760 0.72877 0.000 0.872 0.000 0.128
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.1940 0.78363 0.000 0.076 0.000 0.924
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 3 0.3123 0.72103 0.000 0.156 0.844 0.000
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.0000 0.82088 0.000 0.000 0.000 1.000
#> C8041089-E148-4B33-BBB7-9298B81A8832 4 0.0000 0.82088 0.000 0.000 0.000 1.000
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.4250 0.57691 0.724 0.276 0.000 0.000
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.0000 0.82088 0.000 0.000 0.000 1.000
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 2 0.1940 0.76172 0.000 0.924 0.076 0.000
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.0000 0.82088 0.000 0.000 0.000 1.000
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.0000 0.89814 1.000 0.000 0.000 0.000
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.1118 0.78701 0.000 0.964 0.000 0.036
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.4798 0.72103 0.768 0.000 0.052 0.180
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0592 0.85802 0.000 0.000 0.984 0.016
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.5000 -0.07877 0.496 0.000 0.000 0.504
#> E773014C-98DE-4394-95F9-845E29F35A2B 2 0.1022 0.79014 0.000 0.968 0.032 0.000
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.89814 1.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 2 0.4382 0.49415 0.296 0.704 0.000 0.000
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 4 0.1211 0.80532 0.000 0.040 0.000 0.960
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 3 0.7250 0.33492 0.160 0.000 0.504 0.336
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.2216 0.75390 0.000 0.908 0.000 0.092
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.0000 0.89814 1.000 0.000 0.000 0.000
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.0707 0.88722 0.980 0.000 0.000 0.020
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.0000 0.82088 0.000 0.000 0.000 1.000
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.4925 0.17479 0.000 0.000 0.428 0.572
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.89814 1.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 2 0.7494 0.09923 0.188 0.460 0.352 0.000
#> 333F9855-9462-46B8-87C8-E9B01572C101 4 0.4746 0.39612 0.000 0.368 0.000 0.632
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0000 0.89814 1.000 0.000 0.000 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.0000 0.89814 1.000 0.000 0.000 0.000
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.0000 0.82088 0.000 0.000 0.000 1.000
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.0000 0.80082 0.000 1.000 0.000 0.000
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 4 0.4955 0.19126 0.000 0.444 0.000 0.556
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0000 0.89814 1.000 0.000 0.000 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 4 0.2469 0.75680 0.108 0.000 0.000 0.892
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0000 0.89814 1.000 0.000 0.000 0.000
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.0000 0.82088 0.000 0.000 0.000 1.000
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.4992 0.12402 0.000 0.000 0.524 0.476
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.0000 0.80082 0.000 1.000 0.000 0.000
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 2 0.1118 0.78780 0.000 0.964 0.036 0.000
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0000 0.89814 1.000 0.000 0.000 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 4 0.4605 0.46298 0.000 0.336 0.000 0.664
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0000 0.89814 1.000 0.000 0.000 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 2 0.0000 0.80082 0.000 1.000 0.000 0.000
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 4 0.4830 0.27197 0.000 0.000 0.392 0.608
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.86554 0.000 0.000 1.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 4 0.4888 0.28998 0.000 0.412 0.000 0.588
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.0000 0.89814 1.000 0.000 0.000 0.000
#> B0245553-F100-4235-BFC2-AB908C42E401 4 0.4222 0.53589 0.272 0.000 0.000 0.728
#> F42EDEA7-271C-4A65-8113-62FA64424535 4 0.0336 0.81910 0.000 0.008 0.000 0.992
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.0188 0.79999 0.000 0.996 0.000 0.004
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.4040 0.63321 0.000 0.000 0.752 0.248
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.0000 0.89814 1.000 0.000 0.000 0.000
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.4855 0.29566 0.000 0.600 0.000 0.400
#> D6654189-0570-4603-8C92-3032F2CF7EF3 4 0.5993 0.64138 0.000 0.160 0.148 0.692
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.0000 0.80082 0.000 1.000 0.000 0.000
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.4406 0.55112 0.000 0.000 0.700 0.300
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 4 0.2149 0.77586 0.000 0.088 0.000 0.912
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.0188 0.86377 0.000 0.000 0.996 0.004
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.4843 0.30717 0.000 0.604 0.000 0.396
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.0000 0.82088 0.000 0.000 0.000 1.000
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 2 0.0000 0.80082 0.000 1.000 0.000 0.000
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.1557 0.83318 0.000 0.000 0.944 0.056
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.4877 0.22978 0.000 0.000 0.408 0.592
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.4114 0.72796 0.112 0.060 0.000 0.828
#> 157390D2-EE7A-4EED-A445-2764163EF70A 4 0.4761 0.38396 0.000 0.372 0.000 0.628
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.86554 0.000 0.000 1.000 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 4 0.4925 0.24061 0.000 0.428 0.000 0.572
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 4 0.4994 0.06643 0.000 0.480 0.000 0.520
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.0000 0.82088 0.000 0.000 0.000 1.000
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.0000 0.82088 0.000 0.000 0.000 1.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.5000 -0.01360 0.000 0.500 0.000 0.500
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.0000 0.80082 0.000 1.000 0.000 0.000
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.0000 0.82088 0.000 0.000 0.000 1.000
#> A8AE6F61-125B-4103-9F45-3F4C86234826 4 0.0000 0.82088 0.000 0.000 0.000 1.000
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0817 0.85362 0.000 0.000 0.976 0.024
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 4 0.1557 0.79383 0.056 0.000 0.000 0.944
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.0000 0.86554 0.000 0.000 1.000 0.000
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 4 0.1389 0.80103 0.000 0.048 0.000 0.952
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 1 0.4998 0.11979 0.512 0.000 0.000 0.488
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 4 0.0592 0.81527 0.016 0.000 0.000 0.984
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.0000 0.80082 0.000 1.000 0.000 0.000
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 1 0.0000 0.89814 1.000 0.000 0.000 0.000
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 4 0.1022 0.80967 0.000 0.032 0.000 0.968
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 1 0.7166 0.42501 0.544 0.000 0.176 0.280
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.0188 0.89612 0.996 0.000 0.000 0.004
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 4 0.0000 0.82088 0.000 0.000 0.000 1.000
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#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 1 0.4304 0.61504 0.716 0.000 0.000 0.284
#> 002A3E61-7200-4B45-9704-6A9360233390 4 0.0000 0.82088 0.000 0.000 0.000 1.000
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.0000 0.89814 1.000 0.000 0.000 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 4 0.5615 0.37200 0.000 0.356 0.032 0.612
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 3 0.4277 0.58336 0.000 0.000 0.720 0.280
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.0000 0.80082 0.000 1.000 0.000 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.0000 0.89814 1.000 0.000 0.000 0.000
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.0000 0.82088 0.000 0.000 0.000 1.000
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 2 0.0000 0.80082 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.4501 0.57495 0.000 0.756 0.000 0.128 0.116
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.7041 -0.06349 0.000 0.316 0.368 0.308 0.008
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.4886 0.75126 0.000 0.188 0.100 0.000 0.712
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0000 0.82883 1.000 0.000 0.000 0.000 0.000
#> 0797DC35-6243-451D-9653-9649D390C0F4 4 0.4390 0.14792 0.428 0.000 0.000 0.568 0.004
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 1 0.6675 0.09315 0.408 0.000 0.196 0.392 0.004
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.3216 0.73274 0.848 0.000 0.108 0.000 0.044
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 5 0.5821 0.36639 0.104 0.000 0.312 0.004 0.580
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.2891 0.49086 0.000 0.824 0.000 0.000 0.176
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.0290 0.82931 0.992 0.000 0.000 0.008 0.000
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.1671 0.59151 0.000 0.924 0.000 0.000 0.076
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 2 0.4620 0.42443 0.000 0.652 0.000 0.320 0.028
#> A3E44FB4-8385-4E39-88EB-F8E0D74E8938 3 0.5010 0.41444 0.000 0.248 0.676 0.000 0.076
#> E93C4A65-43CE-4C2D-8DCB-29287FC969F2 4 0.4327 0.30524 0.000 0.360 0.000 0.632 0.008
#> C8041089-E148-4B33-BBB7-9298B81A8832 4 0.2890 0.66881 0.004 0.000 0.000 0.836 0.160
#> 943037EA-C7DF-4941-B355-ECA21707EDD0 1 0.0671 0.82264 0.980 0.004 0.000 0.000 0.016
#> B4013849-B1B4-45AD-8CE9-72D3C2683F3F 4 0.4489 0.17702 0.000 0.420 0.000 0.572 0.008
#> D83CA5FB-D13C-49D2-B21B-928FA777F871 5 0.4003 0.77713 0.000 0.288 0.008 0.000 0.704
#> 6C8FCD10-3AD0-4B68-BC4B-FF47A3AD62FF 4 0.2929 0.66716 0.000 0.000 0.000 0.820 0.180
#> AEF83C64-D347-42AC-B237-7B7D4A996FFD 1 0.2890 0.74599 0.836 0.000 0.000 0.160 0.004
#> 82341457-7386-4C56-9DAF-A8F020055685 2 0.3953 0.57390 0.000 0.784 0.000 0.168 0.048
#> CF1DAD66-E423-4354-AF7C-58FC2394967A 1 0.6730 0.06642 0.440 0.000 0.064 0.428 0.068
#> C1323790-6C24-4E54-A266-AE66588C1DD5 3 0.0162 0.82255 0.000 0.000 0.996 0.004 0.000
#> C3DE4A5A-1832-49C8-8548-02BAF5E2F58C 4 0.3928 0.42777 0.296 0.000 0.000 0.700 0.004
#> E773014C-98DE-4394-95F9-845E29F35A2B 5 0.3957 0.77889 0.000 0.280 0.008 0.000 0.712
#> 01B0AFA5-4EA9-4C2B-A375-7E1E4D9B3C09 1 0.0000 0.82883 1.000 0.000 0.000 0.000 0.000
#> 8CDFAE40-F216-4EA2-81FB-3DBCCF88285E 1 0.5806 0.17361 0.600 0.256 0.000 0.000 0.144
#> 3728E1DD-0F1C-4D31-98EC-6B12DF31E832 2 0.4627 0.18885 0.000 0.544 0.000 0.444 0.012
#> 8C2013DC-5057-496D-9EE1-EAB685D1FBD5 4 0.7415 0.05446 0.024 0.004 0.340 0.380 0.252
#> 5AE9C833-487F-44B8-ACF0-4CB87DD72B7F 2 0.1205 0.61085 0.000 0.956 0.000 0.004 0.040
#> 2E3FBFB8-8575-4FB3-9E7F-07F5BF4466E6 1 0.3390 0.78433 0.840 0.000 0.000 0.100 0.060
#> 50B17207-5E41-4CD3-BDBF-1F8EFBD8EE4E 1 0.4686 0.37011 0.588 0.012 0.000 0.396 0.004
#> 4AAD7B53-9AA9-404B-8888-13160458E476 4 0.4362 0.31913 0.004 0.360 0.000 0.632 0.004
#> 8399C064-FA69-4044-B7E5-7EFFC8DAEAE0 4 0.3671 0.55299 0.000 0.000 0.236 0.756 0.008
#> EE759127-DAA0-4281-AC47-880BC8563114 1 0.0000 0.82883 1.000 0.000 0.000 0.000 0.000
#> 2A08011A-E15E-4754-B560-4637EF3A446B 5 0.6150 0.49760 0.248 0.016 0.136 0.000 0.600
#> 333F9855-9462-46B8-87C8-E9B01572C101 2 0.2729 0.60828 0.000 0.884 0.000 0.056 0.060
#> 2F9B6806-BFF2-45D9-95ED-44E5352F17E2 1 0.0609 0.82765 0.980 0.000 0.000 0.020 0.000
#> 5F7397B4-9770-406E-83D9-B70F3EC22471 1 0.3491 0.66840 0.768 0.000 0.000 0.228 0.004
#> 4571A92E-A240-4A6D-BC50-8971BD299287 4 0.4752 0.14687 0.004 0.428 0.000 0.556 0.012
#> B03E342C-7DA6-4D7D-95F6-C6506B374627 2 0.4251 0.00438 0.000 0.624 0.000 0.004 0.372
#> 3E9EEE6E-F01D-453C-9F57-99EDFFA84C63 2 0.3209 0.56591 0.000 0.812 0.000 0.008 0.180
#> 5F057A65-5C32-4A97-AC8F-051E9FA50302 1 0.0162 0.82917 0.996 0.000 0.000 0.004 0.000
#> 5DBBFA87-FB32-4F5E-93E2-0F26FFC2DEEA 4 0.3790 0.64515 0.004 0.004 0.000 0.744 0.248
#> E55AB18D-4929-4551-8561-F04399C6E13D 1 0.0451 0.82932 0.988 0.000 0.000 0.008 0.004
#> EBE6A1A2-8084-4B84-BE78-43E3CD5EEA32 4 0.3707 0.53232 0.008 0.220 0.000 0.768 0.004
#> 9BDFB73A-076E-418B-B84E-381341688002 3 0.1281 0.80665 0.000 0.000 0.956 0.032 0.012
#> E4898C93-DED6-4739-BAA3-E31F7C0208D9 2 0.3305 0.41939 0.000 0.776 0.000 0.000 0.224
#> AF4B90A4-0B1C-4F3E-8014-9E5CA7DABDAC 5 0.4558 0.73700 0.000 0.324 0.024 0.000 0.652
#> 40BFC6A0-E6DA-4029-AAAF-3892DB08403C 1 0.0794 0.82823 0.972 0.000 0.000 0.028 0.000
#> DC33C2B1-27D4-4997-AAFD-633162F52895 2 0.5504 0.51220 0.000 0.644 0.000 0.132 0.224
#> 2ACF1C92-C65E-4928-84D6-67F6EB755341 1 0.0290 0.82935 0.992 0.000 0.000 0.008 0.000
#> 16463364-F250-4D42-B5C6-309333E40B83 5 0.4306 0.43133 0.000 0.492 0.000 0.000 0.508
#> 2D908B91-5DFD-4EDF-A141-0C483266F71A 4 0.5781 0.57533 0.000 0.028 0.076 0.640 0.256
#> 02C77EEC-0D53-4CF0-8FF8-D8572B3724F9 3 0.0000 0.82280 0.000 0.000 1.000 0.000 0.000
#> 4C12FD64-4333-4686-9E10-AFB2589D3A9F 2 0.2890 0.59169 0.000 0.836 0.000 0.160 0.004
#> EED135AF-363B-4669-9270-3ADA652F5F7E 1 0.1430 0.82039 0.944 0.000 0.000 0.052 0.004
#> B0245553-F100-4235-BFC2-AB908C42E401 4 0.4455 0.63777 0.068 0.000 0.000 0.744 0.188
#> F42EDEA7-271C-4A65-8113-62FA64424535 4 0.6685 0.27171 0.000 0.340 0.000 0.416 0.244
#> 2AF66787-E6A9-4DB0-91B8-D438A0778178 2 0.4047 0.19044 0.000 0.676 0.000 0.004 0.320
#> EEEE43E2-5203-46D7-B554-F4CBC2E1881C 3 0.6565 0.24468 0.000 0.000 0.472 0.280 0.248
#> 23C3ADB8-41A1-4CB1-96C3-D9185324B114 1 0.1571 0.81661 0.936 0.000 0.000 0.060 0.004
#> 28BA5E13-8802-42DD-BBEC-7B14679CE3D9 2 0.2209 0.61314 0.000 0.912 0.000 0.056 0.032
#> D6654189-0570-4603-8C92-3032F2CF7EF3 3 0.6912 0.12522 0.000 0.280 0.460 0.248 0.012
#> 9F09F075-F74B-4A74-A2EA-544E34E21BF3 2 0.4219 -0.17406 0.000 0.584 0.000 0.000 0.416
#> 481EF2B5-E610-4F19-80F2-22327EE33378 3 0.5877 0.48825 0.000 0.000 0.596 0.160 0.244
#> E64A5D3B-33DE-45B9-BDA2-4DB79EFF905C 2 0.6100 0.34665 0.000 0.564 0.000 0.184 0.252
#> 164DD212-0839-4644-8FEE-E6A07A60803B 3 0.1117 0.81438 0.000 0.000 0.964 0.016 0.020
#> 953A9F0A-EC20-4EC3-88B6-348D528FA561 2 0.3997 0.56996 0.004 0.776 0.000 0.188 0.032
#> B52C2DCE-0567-47F0-8FCA-CA0F22D75C99 4 0.4555 0.02350 0.000 0.472 0.000 0.520 0.008
#> BC2FF24C-25B4-48E9-B5AB-DD7D1C696253 5 0.3913 0.73558 0.000 0.324 0.000 0.000 0.676
#> EBA74321-AF71-4FFF-BBE3-EB4C04C50C3E 3 0.6471 0.30157 0.000 0.000 0.496 0.268 0.236
#> C7A7975B-A60E-4562-8B3A-BEE3A6F9B6A8 4 0.4558 0.62788 0.004 0.000 0.036 0.708 0.252
#> B945DBB3-D95A-463A-918D-057F55D29418 4 0.5446 0.14212 0.020 0.412 0.000 0.540 0.028
#> 157390D2-EE7A-4EED-A445-2764163EF70A 2 0.1444 0.61658 0.000 0.948 0.000 0.012 0.040
#> 6724AE7B-3398-441C-9B84-6177D83F767B 3 0.0000 0.82280 0.000 0.000 1.000 0.000 0.000
#> 248C0F63-A5EF-4F6F-9536-07FEBE171BC9 2 0.1106 0.61542 0.000 0.964 0.000 0.012 0.024
#> FC7423DC-B16B-49BF-A68C-110E43B6FE16 2 0.4380 0.49612 0.000 0.708 0.000 0.260 0.032
#> EA6686DF-0A28-4271-90BA-76A5F9E62B39 4 0.3243 0.57268 0.004 0.180 0.000 0.812 0.004
#> 9747FD2F-D078-45CA-9D16-58D52A287323 4 0.2852 0.57951 0.000 0.172 0.000 0.828 0.000
#> 61DA3713-3DDA-4BB8-8814-1E4ACA3EDFA2 2 0.0912 0.61620 0.000 0.972 0.000 0.012 0.016
#> 3B663BB8-EBFB-420A-BEEF-FD87B94CE921 2 0.3300 0.46434 0.000 0.792 0.000 0.004 0.204
#> 2C03F87D-6AA1-41C2-8A78-454B8455320C 4 0.3814 0.46237 0.000 0.276 0.000 0.720 0.004
#> A8AE6F61-125B-4103-9F45-3F4C86234826 4 0.1956 0.67145 0.008 0.000 0.000 0.916 0.076
#> 187000EF-D29E-4977-BE3A-4D28CB9F6DA9 3 0.0162 0.82255 0.000 0.000 0.996 0.004 0.000
#> 815F1327-2FDC-4FB2-94EB-CCD41ADFE47F 4 0.2903 0.64748 0.080 0.000 0.000 0.872 0.048
#> 2093B791-606A-4F18-8E0B-F8607DCB8256 3 0.3752 0.47953 0.000 0.000 0.708 0.000 0.292
#> DE0477F7-ED87-484C-B59B-9F3773F71B05 2 0.4848 0.23708 0.000 0.556 0.000 0.420 0.024
#> 8538D0A7-BE16-41A9-901D-A2F4514E28BA 4 0.4788 0.50966 0.240 0.000 0.000 0.696 0.064
#> F3F3D24B-A556-4A8F-A457-9632932E4C58 4 0.3720 0.52863 0.228 0.000 0.000 0.760 0.012
#> 00383B7F-7F37-48F2-B453-6041E97A9F4A 2 0.3160 0.48282 0.000 0.808 0.000 0.004 0.188
#> 13034342-456C-4A89-A936-A6F2DCC76F2B 1 0.0898 0.82073 0.972 0.000 0.008 0.000 0.020
#> 74D6FE0B-5A0B-49D2-901A-CAECE30D5ABB 2 0.4622 0.20002 0.000 0.548 0.000 0.440 0.012
#> 65F43000-6AD8-4C9A-AF16-737F60F13F31 4 0.6136 0.46279 0.236 0.000 0.024 0.616 0.124
#> 2050948C-479B-44B8-BF3A-2606A8BC822D 1 0.3010 0.73524 0.824 0.000 0.000 0.172 0.004
#> A803F54F-6C7E-4CBC-A47C-1D0F5EC22CD8 4 0.2585 0.63850 0.036 0.064 0.000 0.896 0.004
#> 8A4AA6A6-74B5-455E-8908-8A86522BF3E7 1 0.0000 0.82883 1.000 0.000 0.000 0.000 0.000
#> 7465251E-7BC8-4179-8950-4E41836CF36B 5 0.4219 0.78141 0.000 0.260 0.024 0.000 0.716
#> 33DCD9BC-E944-4B57-9F3A-11DC4814E2C2 1 0.2389 0.78641 0.880 0.000 0.000 0.116 0.004
#> 401B9A41-E3AF-4AEB-BC81-A7C29A2183B3 2 0.1851 0.58102 0.000 0.912 0.000 0.000 0.088
#> BBCF0FB7-DD2A-4037-BA10-603B84B242C0 2 0.4561 0.06657 0.000 0.504 0.000 0.488 0.008
#> 79BDCA7C-DAB8-455E-812A-A08265753D7A 2 0.4832 0.52977 0.000 0.720 0.000 0.104 0.176
#> F1A656B3-DB37-4E51-A9E5-09E5608E7D1E 3 0.0566 0.82121 0.000 0.004 0.984 0.000 0.012
#> D0C80FD7-18E3-45F3-90E8-3387BA92BE25 4 0.4948 0.59944 0.000 0.000 0.068 0.676 0.256
#> 9A4517B1-170F-4BFB-8C4C-7CBDF64C737F 2 0.3462 0.58127 0.000 0.792 0.000 0.196 0.012
#> B42C48A2-5F6C-4B28-BA09-B497470980A4 4 0.3579 0.51256 0.000 0.240 0.000 0.756 0.004
#> B5BB6B5E-75C7-4E0B-BA74-B86E4DF8BF8E 3 0.0404 0.82203 0.000 0.000 0.988 0.000 0.012
#> B5359AA3-DB8C-46E9-9240-8BECFC76FF11 1 0.5231 0.52668 0.716 0.060 0.036 0.000 0.188
#> 83CAFA8C-E9DD-47E7-AAB3-EA054D15CFD6 1 0.0000 0.82883 1.000 0.000 0.000 0.000 0.000
#> 6B75E046-9F34-49D2-976E-B58CC2E09577 1 0.0771 0.82878 0.976 0.000 0.000 0.020 0.004
#> FCEE7969-ABFA-4898-ACFB-194E82661A3C 3 0.0000 0.82280 0.000 0.000 1.000 0.000 0.000
#> 151B0B5A-8270-4869-8547-DE9C33C7AA03 1 0.5497 0.40170 0.596 0.036 0.000 0.344 0.024
#> B54317C9-8704-42A6-BE96-E12855874596 3 0.0000 0.82280 0.000 0.000 1.000 0.000 0.000
#> 759B6273-634D-4145-AA95-452D628BF100 4 0.4573 0.62801 0.000 0.044 0.000 0.700 0.256
#> 5DCBC0B2-62D4-409C-B7FD-833B2814395C 2 0.4370 0.55630 0.000 0.744 0.000 0.056 0.200
#> 5CE93112-E9D7-46C3-B5B8-5FDAB48A6BA0 4 0.3995 0.65260 0.044 0.000 0.000 0.776 0.180
#> 515171D4-CC02-48C3-B660-E9F7F12FC5C2 3 0.7039 0.10222 0.000 0.012 0.408 0.324 0.256
#> 96FD3C26-7073-434E-B18B-42CB70D3F579 4 0.4101 0.35062 0.332 0.000 0.000 0.664 0.004
#> D2BBC61B-DCA0-45AA-BFC7-E1023B433F81 2 0.5246 0.33881 0.000 0.596 0.000 0.344 0.060
#> A6177818-114B-437B-9928-A6747A788109 4 0.4503 0.64109 0.000 0.040 0.000 0.704 0.256
#> E7064800-48FD-492A-A074-84A0B2452445 4 0.6596 0.25970 0.000 0.000 0.280 0.464 0.256
#> 447E601E-C0BF-4B00-BAF5-9ED4FEB56057 2 0.1732 0.59158 0.000 0.920 0.000 0.000 0.080
#> 0007F492-55B4-40B3-8466-2CA71FCBE7C1 1 0.3333 0.69564 0.788 0.000 0.000 0.208 0.004
#> 962E56DF-4A1D-473E-ACBD-623243CFC5B3 2 0.1270 0.60386 0.000 0.948 0.000 0.000 0.052
#> 6EAA7690-F7F3-4494-BFBC-5A5F2DF089AE 3 0.0290 0.82264 0.000 0.000 0.992 0.000 0.008
#> 78F174CA-B85A-456E-A1C3-C586A54F67F2 4 0.2877 0.59963 0.004 0.144 0.000 0.848 0.004
#> CAD78558-0F2A-44BC-B176-A77BD8D9FD12 4 0.2036 0.65582 0.056 0.000 0.000 0.920 0.024
#> EB235E9A-E453-4108-AD4F-31260F4340A6 1 0.1357 0.81658 0.948 0.000 0.004 0.048 0.000
#> B77649B0-638C-4445-8FAF-3E1556DBAC42 1 0.1410 0.80931 0.940 0.000 0.000 0.060 0.000
#> ACCEAB31-761E-44A5-AF94-AD893BDB2987 3 0.7553 -0.13724 0.116 0.108 0.448 0.000 0.328
#> 1CB463C0-C33A-4FC6-9F8D-D8A48CF2C600 1 0.2389 0.78416 0.880 0.000 0.000 0.116 0.004
#> F7069BE4-F0F1-4063-8F78-69CF3A73FC04 4 0.3991 0.66785 0.000 0.048 0.000 0.780 0.172
#> E0A1C2AF-8496-489B-B593-DBA3752E3A4C 4 0.3160 0.61344 0.028 0.116 0.000 0.852 0.004
#> 677AE20F-4072-46BA-A7D2-9BE052ED5CDA 3 0.0000 0.82280 0.000 0.000 1.000 0.000 0.000
#> BCA0ED8D-BC82-4505-8EF9-F6AB5A7E2A1B 3 0.5384 0.58809 0.000 0.004 0.664 0.104 0.228
#> 94128D59-A5BB-4460-A671-5E1571726C4D 5 0.4170 0.78006 0.000 0.272 0.012 0.004 0.712
#> 12BE2E3A-1B57-4EEE-B130-E70B6BE5A96B 1 0.2233 0.79396 0.892 0.000 0.000 0.104 0.004
#> 66600553-0E68-405C-81A3-4064DA18737D 3 0.0162 0.82234 0.000 0.004 0.996 0.000 0.000
#> C65B6272-DD2B-4075-963B-746F8904B395 5 0.3861 0.77716 0.000 0.284 0.004 0.000 0.712
#> EC7F0653-0AC0-47AF-A6A2-0475E149065F 4 0.3873 0.66535 0.000 0.012 0.008 0.768 0.212
#> 3EEB805B-3DC3-47AD-9D83-672D39333B8F 4 0.4957 0.64291 0.000 0.096 0.004 0.716 0.184
#> ECC99215-F4FB-40D3-A44D-549D681F0CAD 3 0.0566 0.82121 0.000 0.004 0.984 0.000 0.012
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#> 99D8A9E2-773C-4142-9A93-5F749961F712 4 0.4134 0.64315 0.032 0.000 0.000 0.744 0.224
#> 086D8F38-76B9-450D-A070-9DA9D9779D0E 3 0.0000 0.82280 0.000 0.000 1.000 0.000 0.000
#> BD279BE1-C25E-44F8-BC05-50065F4BDDD6 1 0.1597 0.79265 0.940 0.012 0.000 0.000 0.048
#> 1E9C6EE5-D79F-4B2D-B8A2-6317875ED4F3 5 0.5012 0.60919 0.016 0.048 0.240 0.000 0.696
#> 1191E904-0BB3-4F16-8D17-154A3EE2F4D9 4 0.4450 -0.05573 0.488 0.000 0.000 0.508 0.004
#> 2224E78E-EB9A-458C-A53C-A6F1F388BCBA 3 0.5394 0.35290 0.000 0.208 0.660 0.000 0.132
#> D8D2E74C-DB63-446E-BA29-ED6105C49B4A 2 0.7307 0.34950 0.008 0.484 0.072 0.100 0.336
#> 14003AA2-81B6-4143-98AD-124903BAE56B 4 0.3289 0.57859 0.008 0.172 0.000 0.816 0.004
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 4 0.2886 0.67336 0.000 0.008 0.000 0.844 0.148
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.2488 0.58465 0.000 0.872 0.000 0.004 0.124
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.1364 0.61475 0.000 0.952 0.000 0.036 0.012
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 5 0.3861 0.77716 0.000 0.284 0.004 0.000 0.712
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 5 0.4517 0.77752 0.016 0.260 0.016 0.000 0.708
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 2 0.6926 0.20119 0.000 0.428 0.264 0.300 0.008
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 4 0.6008 0.04927 0.064 0.424 0.000 0.492 0.020
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0000 0.82883 1.000 0.000 0.000 0.000 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 5 0.4193 0.50924 0.000 0.012 0.304 0.000 0.684
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.0000 0.82280 0.000 0.000 1.000 0.000 0.000
#> 420503AA-3799-4816-BEEC-0B4D05988D38 5 0.4612 0.77517 0.000 0.232 0.056 0.000 0.712
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 1 0.5106 0.15553 0.508 0.000 0.000 0.456 0.036
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.1041 0.82601 0.964 0.000 0.000 0.032 0.004
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 5 0.3906 0.77214 0.000 0.292 0.004 0.000 0.704
#> E1F863F8-90F0-402C-8433-95F522DDCE63 4 0.4585 0.51832 0.052 0.216 0.000 0.728 0.004
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 4 0.4047 0.39118 0.320 0.000 0.000 0.676 0.004
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.6393 -0.05305 0.064 0.556 0.056 0.000 0.324
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 4 0.4300 0.00670 0.000 0.476 0.000 0.524 0.000
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 2 0.3997 0.53610 0.000 0.808 0.032 0.024 0.136
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.2389 0.56507 0.000 0.880 0.000 0.004 0.116
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.2843 0.59277 0.000 0.848 0.000 0.008 0.144
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.0000 0.82883 1.000 0.000 0.000 0.000 0.000
#> B232056E-59B2-4D05-983D-8740D6994A71 5 0.4425 0.77974 0.000 0.244 0.040 0.000 0.716
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.6634 0.16656 0.000 0.460 0.336 0.004 0.200
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.3318 0.51050 0.000 0.808 0.000 0.012 0.180
#> 000F8487-E841-4370-B958-85AB3A6D88F9 3 0.0000 0.82280 0.000 0.000 1.000 0.000 0.000
#> B822A426-98C1-4976-9FC2-16347992AD78 4 0.5185 0.33287 0.000 0.004 0.376 0.580 0.040
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.2753 0.60028 0.000 0.856 0.000 0.008 0.136
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 1 0.4321 0.37361 0.600 0.000 0.000 0.396 0.004
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.2011 0.58726 0.000 0.908 0.000 0.004 0.088
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.0290 0.82264 0.000 0.000 0.992 0.000 0.008
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 5 0.3949 0.76848 0.000 0.300 0.004 0.000 0.696
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.0000 0.82280 0.000 0.000 1.000 0.000 0.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 4 0.4898 0.62379 0.000 0.068 0.000 0.684 0.248
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.5898 0.40115 0.264 0.088 0.000 0.624 0.024
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.5211 0.47335 0.000 0.668 0.000 0.232 0.100
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 4 0.4341 0.20641 0.000 0.404 0.000 0.592 0.004
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.1768 0.59529 0.000 0.924 0.000 0.004 0.072
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 2 0.6164 0.29403 0.000 0.520 0.000 0.328 0.152
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 5 0.4948 0.69525 0.000 0.108 0.184 0.000 0.708
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.1831 0.77818 0.000 0.000 0.920 0.076 0.004
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.2280 0.56871 0.000 0.880 0.000 0.000 0.120
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 4 0.6568 0.36198 0.000 0.276 0.000 0.472 0.252
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 5 0.4607 0.40228 0.320 0.020 0.000 0.004 0.656
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 5 0.6344 0.35470 0.400 0.160 0.000 0.000 0.440
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.2389 0.61630 0.000 0.116 0.000 0.880 0.004
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 4 0.4692 -0.00909 0.460 0.000 0.008 0.528 0.004
#> 197E34CA-EF43-495C-8AA4-858982333429 1 0.4448 0.13079 0.516 0.000 0.000 0.480 0.004
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.1646 0.81572 0.944 0.004 0.000 0.032 0.020
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 4 0.2930 0.58672 0.000 0.164 0.000 0.832 0.004
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.7334 0.49667 0.544 0.000 0.188 0.112 0.156
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 3 0.3948 0.71474 0.000 0.008 0.808 0.056 0.128
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.1502 0.81830 0.940 0.000 0.000 0.056 0.004
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.0404 0.82919 0.988 0.000 0.000 0.012 0.000
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.4030 0.08148 0.000 0.648 0.000 0.000 0.352
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 4 0.1197 0.64693 0.000 0.048 0.000 0.952 0.000
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.1608 0.59499 0.000 0.928 0.000 0.000 0.072
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 4 0.3700 0.64842 0.008 0.000 0.000 0.752 0.240
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 1 0.4178 0.54377 0.696 0.004 0.000 0.292 0.008
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 4 0.6748 0.29989 0.008 0.000 0.256 0.484 0.252
#> FAA38111-F046-4ACD-B787-764A17EAF548 2 0.4464 0.27883 0.000 0.584 0.000 0.408 0.008
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.5466 0.43185 0.000 0.640 0.000 0.244 0.116
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.2124 0.58108 0.000 0.900 0.000 0.004 0.096
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0000 0.82883 1.000 0.000 0.000 0.000 0.000
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.4009 0.75753 0.000 0.312 0.004 0.000 0.684
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.4341 0.22145 0.000 0.404 0.000 0.592 0.004
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 5 0.4060 0.68869 0.000 0.360 0.000 0.000 0.640
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0162 0.82274 0.000 0.000 0.996 0.000 0.004
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 4 0.6700 0.29192 0.000 0.332 0.000 0.416 0.252
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 1 0.6581 0.38556 0.604 0.052 0.200 0.000 0.144
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 4 0.3143 0.66224 0.000 0.000 0.000 0.796 0.204
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.1341 0.60926 0.000 0.944 0.000 0.000 0.056
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.4126 0.00240 0.000 0.620 0.000 0.000 0.380
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.6479 0.40931 0.512 0.000 0.288 0.196 0.004
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.3304 0.59609 0.000 0.816 0.000 0.016 0.168
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 4 0.3861 0.45243 0.284 0.000 0.000 0.712 0.004
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.82280 0.000 0.000 1.000 0.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.0290 0.82968 0.992 0.000 0.000 0.008 0.000
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.1282 0.82271 0.952 0.000 0.000 0.044 0.004
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.3169 0.60189 0.016 0.140 0.000 0.840 0.004
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.3957 0.77889 0.000 0.280 0.008 0.000 0.712
#> 73D9833A-5E24-47D9-B193-22A66A282669 4 0.3656 0.67348 0.000 0.032 0.000 0.800 0.168
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.4387 0.23627 0.000 0.640 0.000 0.012 0.348
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 4 0.3521 0.65280 0.000 0.004 0.000 0.764 0.232
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.2179 0.75139 0.112 0.000 0.888 0.000 0.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.4430 0.78034 0.000 0.256 0.036 0.000 0.708
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 3 0.6018 0.50761 0.000 0.072 0.656 0.208 0.064
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.2451 0.78715 0.000 0.036 0.904 0.004 0.056
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0324 0.82252 0.000 0.004 0.992 0.000 0.004
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 2 0.4641 0.16334 0.000 0.532 0.000 0.456 0.012
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.3420 0.60693 0.036 0.124 0.000 0.836 0.004
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.5772 -0.07248 0.464 0.040 0.000 0.472 0.024
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.4414 0.55836 0.160 0.072 0.000 0.764 0.004
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.5957 0.61589 0.000 0.176 0.236 0.000 0.588
#> C958FCED-BB40-4823-B839-6A31C6988A32 4 0.4058 0.64276 0.024 0.000 0.000 0.740 0.236
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.6698 -0.21640 0.000 0.412 0.340 0.000 0.248
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 4 0.3766 0.47564 0.268 0.000 0.000 0.728 0.004
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 3 0.6227 0.51203 0.000 0.024 0.600 0.124 0.252
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 3 0.4305 -0.00829 0.000 0.000 0.512 0.000 0.488
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 4 0.3373 0.62854 0.056 0.092 0.000 0.848 0.004
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0000 0.82883 1.000 0.000 0.000 0.000 0.000
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0290 0.82264 0.000 0.000 0.992 0.000 0.008
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0000 0.82883 1.000 0.000 0.000 0.000 0.000
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 5 0.4307 0.41260 0.000 0.500 0.000 0.000 0.500
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.1792 0.80659 0.916 0.000 0.000 0.084 0.000
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.82280 0.000 0.000 1.000 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0000 0.82883 1.000 0.000 0.000 0.000 0.000
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 4 0.3878 0.64657 0.016 0.000 0.000 0.748 0.236
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.5210 0.29793 0.200 0.680 0.000 0.000 0.120
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.2068 0.80083 0.904 0.000 0.000 0.092 0.004
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0000 0.82280 0.000 0.000 1.000 0.000 0.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0324 0.82252 0.000 0.004 0.992 0.000 0.004
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 4 0.4960 0.46406 0.268 0.000 0.000 0.668 0.064
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.3980 0.77806 0.000 0.284 0.008 0.000 0.708
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 4 0.2338 0.67559 0.000 0.004 0.000 0.884 0.112
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.5673 0.45299 0.000 0.596 0.000 0.112 0.292
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.3707 0.77520 0.000 0.284 0.000 0.000 0.716
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 2 0.6764 0.29975 0.004 0.440 0.000 0.236 0.320
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 2 0.4375 -0.08015 0.000 0.576 0.000 0.004 0.420
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.82280 0.000 0.000 1.000 0.000 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.4251 0.51956 0.200 0.040 0.000 0.756 0.004
#> 002A3E61-7200-4B45-9704-6A9360233390 4 0.3662 0.64589 0.000 0.004 0.000 0.744 0.252
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 1 0.4305 0.10756 0.512 0.000 0.000 0.488 0.000
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.4841 0.51420 0.000 0.748 0.024 0.064 0.164
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 4 0.4403 0.41564 0.004 0.000 0.340 0.648 0.008
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.3274 0.42586 0.000 0.780 0.000 0.000 0.220
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.1205 0.81897 0.956 0.000 0.000 0.040 0.004
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.3768 0.52436 0.008 0.228 0.000 0.760 0.004
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 5 0.3934 0.77613 0.000 0.276 0.000 0.008 0.716
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 136B7576-1108-4FA3-8254-6069F0CA879A 2 0.1867 0.7901 0.000 0.916 0.000 0.064 0.020 0.000
#> CC960C25-E7AE-4EDB-AEEC-80B21CD2A7C2 3 0.4867 0.2042 0.004 0.000 0.536 0.416 0.004 0.040
#> B5567E00-32AA-48D8-8087-1088C22B0994 5 0.1341 0.8517 0.000 0.028 0.024 0.000 0.948 0.000
#> 0999A56B-C2FA-4970-8542-D1ABDD5166BE 1 0.0725 0.8291 0.976 0.000 0.000 0.000 0.012 0.012
#> 0797DC35-6243-451D-9653-9649D390C0F4 6 0.3440 0.5954 0.196 0.000 0.000 0.028 0.000 0.776
#> B6B48FC3-8C96-45FE-A0FB-8C94BB9FA78A 6 0.6153 0.3404 0.184 0.000 0.284 0.024 0.000 0.508
#> 6C0B851D-80A8-4E10-8328-9BA08D938849 1 0.3270 0.7617 0.844 0.000 0.040 0.028 0.088 0.000
#> 8EAAF41E-2F4D-4D8B-8AF4-3497D7E047BC 5 0.3975 0.7040 0.036 0.000 0.180 0.000 0.764 0.020
#> 8A6F9C75-7AEA-49CE-92E3-5058689276BC 2 0.2266 0.7810 0.000 0.880 0.000 0.012 0.108 0.000
#> F7FC684A-10B6-4546-8FF5-76BC2A64C514 1 0.2333 0.8296 0.884 0.000 0.000 0.024 0.000 0.092
#> 5C7BC0D9-0B73-4377-BFE2-61A9B5FD5D5F 2 0.2487 0.7927 0.000 0.876 0.000 0.092 0.032 0.000
#> 1DF1C041-687F-4368-9225-7E2D03F5C2B3 4 0.1168 0.6094 0.000 0.028 0.000 0.956 0.000 0.016
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#> 14003AA2-81B6-4143-98AD-124903BAE56B 4 0.3810 0.5127 0.000 0.000 0.000 0.572 0.000 0.428
#> F8C42878-78D3-49F7-9900-7AC7E0F4D05D 6 0.3416 0.6426 0.000 0.036 0.000 0.088 0.040 0.836
#> B40239C0-BA18-42AE-A1DD-3DFAEC5C00B9 2 0.0508 0.7965 0.000 0.984 0.000 0.000 0.012 0.004
#> 48110F78-FFE7-40A9-BE96-CD01D271E13D 2 0.2762 0.7538 0.000 0.804 0.000 0.196 0.000 0.000
#> 0C559892-1A50-4B5A-97F7-E42296EE327B 5 0.1327 0.8548 0.000 0.064 0.000 0.000 0.936 0.000
#> 6373E1D7-F686-4989-B0BD-20B964D3F7B5 5 0.3265 0.7845 0.108 0.016 0.000 0.040 0.836 0.000
#> 4705F8F9-D6E3-4291-872F-8985CB9F5F69 4 0.4101 0.1237 0.000 0.012 0.408 0.580 0.000 0.000
#> AD0FA7C2-A445-4444-AEDA-61E617D54F67 4 0.2920 0.6755 0.000 0.008 0.000 0.820 0.004 0.168
#> 1B23CF8B-C6F4-49F3-8F5F-4466EF83D032 1 0.0820 0.8224 0.972 0.000 0.000 0.016 0.012 0.000
#> D29F0D63-C538-4FAC-BE6E-176227D9A10B 5 0.1387 0.8296 0.000 0.000 0.068 0.000 0.932 0.000
#> 396D23D5-7D2E-484C-A0E9-1B97D1D27E77 3 0.0000 0.8733 0.000 0.000 1.000 0.000 0.000 0.000
#> 420503AA-3799-4816-BEEC-0B4D05988D38 5 0.1204 0.8555 0.000 0.056 0.000 0.000 0.944 0.000
#> 78CA76F2-6668-444A-826F-DA9316DAD81D 6 0.3337 0.5336 0.260 0.000 0.000 0.004 0.000 0.736
#> 7FED9D6A-769E-47AE-B8EA-C87E59547122 1 0.1563 0.8325 0.932 0.000 0.000 0.000 0.012 0.056
#> F50B6AD4-1DCC-45D6-84D6-F640F7FDA8C0 5 0.3464 0.5366 0.000 0.312 0.000 0.000 0.688 0.000
#> E1F863F8-90F0-402C-8433-95F522DDCE63 4 0.4039 0.4946 0.008 0.000 0.000 0.568 0.000 0.424
#> D38F826F-CC9F-4094-BD7A-883BBF0380CB 6 0.2822 0.6405 0.108 0.000 0.000 0.040 0.000 0.852
#> 211AA554-5CF0-4B0B-A428-25B0AB791303 2 0.6796 0.5103 0.120 0.528 0.048 0.264 0.040 0.000
#> 6ECCD0D4-0D13-4F7D-9445-BA1C473300AC 4 0.5776 0.1838 0.004 0.396 0.000 0.448 0.000 0.152
#> F8DA4628-F7C4-4627-9374-45D10E349CBF 5 0.6177 0.3230 0.000 0.292 0.016 0.212 0.480 0.000
#> 0C442324-7E9C-45E8-AFBC-968E27C5412E 2 0.1382 0.8009 0.000 0.948 0.000 0.008 0.036 0.008
#> DD23B50F-4F48-47D3-96BE-237B33E2F7B0 2 0.0363 0.7971 0.000 0.988 0.000 0.000 0.000 0.012
#> F68E428F-EB83-42C6-9752-FCA5B5A09989 1 0.1367 0.8132 0.944 0.000 0.000 0.044 0.012 0.000
#> B232056E-59B2-4D05-983D-8740D6994A71 5 0.1267 0.8555 0.000 0.060 0.000 0.000 0.940 0.000
#> 10105BB3-3534-4B7F-8CDB-9702945C414A 2 0.7561 -0.1251 0.000 0.340 0.068 0.232 0.332 0.028
#> 6B472CEB-9189-4605-B1B6-27F477720A9D 2 0.2226 0.7987 0.000 0.904 0.000 0.008 0.060 0.028
#> 000F8487-E841-4370-B958-85AB3A6D88F9 3 0.0000 0.8733 0.000 0.000 1.000 0.000 0.000 0.000
#> B822A426-98C1-4976-9FC2-16347992AD78 6 0.5625 0.4547 0.000 0.008 0.220 0.120 0.024 0.628
#> 1B239B10-362E-4FBA-9B28-3D81F0CCA53B 2 0.0363 0.7971 0.000 0.988 0.000 0.000 0.000 0.012
#> 113A929D-1F47-45F7-BA9F-A03FFA7984B3 6 0.3830 0.3035 0.376 0.000 0.000 0.004 0.000 0.620
#> 9ABAD2AD-CB06-4432-BFDF-2EEAB5A82338 2 0.1572 0.8031 0.000 0.936 0.000 0.028 0.036 0.000
#> B93811D6-F95F-4FC3-96DC-D4EDA78B1D35 3 0.0000 0.8733 0.000 0.000 1.000 0.000 0.000 0.000
#> C14A2BC9-0D51-4699-9280-FB66EB72F19B 5 0.3717 0.3609 0.000 0.384 0.000 0.000 0.616 0.000
#> E9894334-C852-4159-9FEB-40292B160CC1 3 0.0146 0.8721 0.000 0.000 0.996 0.000 0.004 0.000
#> CEB1E524-EA75-4111-AA7C-1D8B9FFC021D 6 0.4196 0.5451 0.000 0.180 0.000 0.028 0.040 0.752
#> 73282BFC-0581-4F94-AF4B-1B14401AAC8B 4 0.3309 0.6581 0.000 0.000 0.000 0.720 0.000 0.280
#> 9B16BCC6-8301-41FD-B763-1672F132E03D 2 0.3504 0.7491 0.000 0.820 0.000 0.112 0.016 0.052
#> 039801D9-2943-4731-88D9-7B3D5E2CCEB8 4 0.3816 0.6450 0.000 0.016 0.000 0.688 0.000 0.296
#> D24D3FF9-D2BF-49BD-BA20-9466D346497E 2 0.1644 0.8033 0.000 0.932 0.000 0.040 0.028 0.000
#> EAEC5FCC-3871-4A2E-A7E4-6C2D9A205A50 4 0.6895 0.4926 0.028 0.060 0.000 0.488 0.120 0.304
#> 080423ED-8369-44EB-85E1-33CAB65C7ACD 5 0.1267 0.8346 0.000 0.000 0.060 0.000 0.940 0.000
#> 76724BD8-B037-4BB7-90BC-BC40F02C1507 3 0.0551 0.8676 0.000 0.000 0.984 0.008 0.004 0.004
#> D66BEDCA-2D42-4C45-9ADE-CE2AB9C9C3B5 2 0.4219 0.6662 0.000 0.660 0.000 0.304 0.036 0.000
#> AC2045EE-D600-42E7-BE82-9EFB92286D59 2 0.4731 0.4915 0.000 0.648 0.000 0.020 0.040 0.292
#> CCEB7BA1-257C-45F8-A6F8-4860A2ADA4DA 5 0.1382 0.8517 0.008 0.036 0.000 0.000 0.948 0.008
#> EE0B2584-29FF-4D98-A95D-420F8E7BA625 1 0.4650 -0.0437 0.488 0.000 0.000 0.040 0.472 0.000
#> 0FF482C4-3E0B-4C3D-B35D-68BAD6EE4DFC 4 0.3854 0.4256 0.000 0.000 0.000 0.536 0.000 0.464
#> 8F9D4FA9-B2C4-44AF-AF21-F6123978BFA5 6 0.5468 0.4896 0.252 0.000 0.044 0.068 0.004 0.632
#> 197E34CA-EF43-495C-8AA4-858982333429 6 0.3835 0.4786 0.300 0.000 0.000 0.016 0.000 0.684
#> 0E17FC74-47CE-459D-B6B1-27C7BECFEA1F 1 0.2982 0.7643 0.828 0.000 0.000 0.152 0.012 0.008
#> 2B055171-F33E-4D6C-9990-37E154A4FCAE 6 0.4126 -0.2979 0.000 0.004 0.000 0.480 0.004 0.512
#> 5A00CAE2-8B36-4BA2-AE5A-9C53364F1830 1 0.6794 0.4265 0.484 0.000 0.172 0.012 0.052 0.280
#> 3AEB6D14-5DBF-45D0-94CC-AE2B7D8FAA3A 3 0.4700 0.6559 0.000 0.196 0.720 0.008 0.032 0.044
#> CA728FF8-D96F-4230-8518-F94B4C4FD460 1 0.1663 0.8336 0.912 0.000 0.000 0.000 0.000 0.088
#> 242F1DFD-C95F-4A3B-AE88-6F7F06CC4D29 1 0.1251 0.8334 0.956 0.000 0.000 0.008 0.012 0.024
#> A20F40C9-4FD6-41C5-9A1E-F885BD5DA9C1 2 0.1765 0.7864 0.000 0.904 0.000 0.000 0.096 0.000
#> 4BCA5E18-8F14-4FCE-8199-23F44D5A3509 6 0.3843 -0.1996 0.000 0.000 0.000 0.452 0.000 0.548
#> CC348BD8-B782-41D1-A04B-9A06DD9DA208 2 0.3200 0.7535 0.000 0.788 0.000 0.196 0.016 0.000
#> 1B6FF488-DFEE-45D4-A03C-52C01579139B 6 0.1364 0.6720 0.020 0.016 0.000 0.012 0.000 0.952
#> 1A6D233F-CAAC-4D74-8D79-298FC30D8C20 4 0.4330 0.5806 0.036 0.000 0.000 0.632 0.000 0.332
#> 23EEFFE8-66B1-4CAD-84BD-08071B2E6978 6 0.2806 0.6011 0.008 0.000 0.144 0.008 0.000 0.840
#> FAA38111-F046-4ACD-B787-764A17EAF548 4 0.2542 0.6458 0.000 0.044 0.000 0.876 0.000 0.080
#> BCF1DBC3-6886-4F28-B737-B972D3AF68D7 2 0.3609 0.7621 0.000 0.812 0.000 0.016 0.056 0.116
#> D61D077D-C4AE-464B-A5F7-362DA9C1FAAC 2 0.1194 0.8010 0.000 0.956 0.000 0.004 0.032 0.008
#> 319EDCEE-DC90-4FE0-A03E-EE14026CA91B 1 0.0951 0.8281 0.968 0.000 0.000 0.004 0.020 0.008
#> 71FFDBDE-13AA-4466-8880-82CF6F3C6CA6 5 0.3446 0.5630 0.000 0.308 0.000 0.000 0.692 0.000
#> 11FAAC26-D8DA-41B3-92A2-04E99C023E4C 4 0.3707 0.6378 0.000 0.008 0.000 0.680 0.000 0.312
#> F3050640-ACB4-45C9-9CFB-A7E82EEA1420 2 0.3717 0.4433 0.000 0.616 0.000 0.000 0.384 0.000
#> 1703F530-A87F-4304-8FAF-37A4CE47BE8B 3 0.0000 0.8733 0.000 0.000 1.000 0.000 0.000 0.000
#> 79FC88D9-A47C-4F07-A866-4E7930CE7F69 6 0.6614 -0.0586 0.000 0.328 0.004 0.264 0.020 0.384
#> 9AD20178-0C10-4E11-A855-5B5C05ABF747 1 0.5679 0.5365 0.656 0.008 0.096 0.060 0.180 0.000
#> 090B1958-A944-4B50-8FA4-8F6313E2126F 6 0.1625 0.6610 0.012 0.000 0.000 0.060 0.000 0.928
#> 64B46E48-CC72-47FF-BC68-8B29736C7D5F 2 0.3421 0.7190 0.000 0.736 0.000 0.256 0.008 0.000
#> D4B6FA57-A62D-4451-AAC8-328A43DCAF05 2 0.3819 0.4465 0.000 0.624 0.000 0.004 0.372 0.000
#> 8DBE419E-A360-4493-AC3B-C145887D9237 1 0.5242 0.3448 0.516 0.000 0.100 0.000 0.000 0.384
#> A6C06064-8194-4DFB-9262-A30E63DB2514 2 0.1844 0.7881 0.000 0.924 0.000 0.004 0.048 0.024
#> 3EA1E767-BCAD-4D3B-BF88-232AA2A00AD3 6 0.4059 0.4586 0.052 0.000 0.000 0.228 0.000 0.720
#> 94491627-B82B-4986-9137-FF5B2D2E1336 3 0.0000 0.8733 0.000 0.000 1.000 0.000 0.000 0.000
#> 9607335A-27FA-4118-8403-57D9D13BCD4D 1 0.1806 0.8322 0.908 0.000 0.000 0.004 0.000 0.088
#> 9ABF662A-570A-4825-83FB-6DC66933D1A7 1 0.2442 0.8062 0.852 0.000 0.000 0.004 0.000 0.144
#> CA896DE2-AA8A-4EF4-8D8A-5D35F13011BD 4 0.3851 0.4478 0.000 0.000 0.000 0.540 0.000 0.460
#> A6EE9C67-2CA8-4E7C-A537-F10E251D5D41 5 0.1663 0.8459 0.000 0.088 0.000 0.000 0.912 0.000
#> 73D9833A-5E24-47D9-B193-22A66A282669 6 0.3979 0.4145 0.000 0.004 0.000 0.256 0.028 0.712
#> 7D2F5CE1-2698-46EB-AF50-8E27AD8C8201 2 0.2426 0.7911 0.000 0.896 0.000 0.012 0.044 0.048
#> F5F2C2A1-4A1F-4C40-96A9-1AA18EC4C9C2 6 0.2614 0.6570 0.000 0.024 0.000 0.052 0.036 0.888
#> 3D6B2ADC-F22F-471E-960E-4F13F3A3D081 3 0.0291 0.8713 0.004 0.000 0.992 0.000 0.004 0.000
#> 5663C145-B465-4509-BA9A-1A40584952BD 5 0.1556 0.8507 0.000 0.080 0.000 0.000 0.920 0.000
#> 92A7E918-FD15-40FF-8DFA-4A7C9A916230 4 0.7766 0.2659 0.000 0.176 0.288 0.360 0.016 0.160
#> C1B88DFE-EABB-4FD9-B400-AEA8DC5B7F8D 3 0.6972 0.4985 0.000 0.172 0.568 0.116 0.088 0.056
#> 91C42A74-04D8-42B8-9347-A842F80E44DB 3 0.0146 0.8722 0.000 0.004 0.996 0.000 0.000 0.000
#> DD99AA8F-4F88-4FF4-8B60-B00CCCEA28FA 4 0.4650 0.5987 0.000 0.132 0.000 0.688 0.000 0.180
#> 99595982-FB4F-46F8-94EB-282CBCE7B892 4 0.4062 0.4648 0.008 0.000 0.000 0.552 0.000 0.440
#> 56943BD9-EEDA-457A-9F18-ACC397978668 4 0.3394 0.6704 0.012 0.000 0.000 0.752 0.000 0.236
#> 14BEC97B-8960-4B1D-A9DE-0530CE49BB23 4 0.3695 0.5867 0.000 0.000 0.000 0.624 0.000 0.376
#> D316C207-8020-47A7-8C2D-753CF42223B5 5 0.2221 0.8492 0.000 0.072 0.032 0.000 0.896 0.000
#> C958FCED-BB40-4823-B839-6A31C6988A32 6 0.1353 0.6731 0.024 0.012 0.000 0.012 0.000 0.952
#> 95500246-10F5-4818-BBD7-E5FA7B03889A 2 0.4158 0.6421 0.000 0.704 0.052 0.000 0.244 0.000
#> E63EDCDB-754A-4552-A3D7-0FD72B3D798D 6 0.3254 0.6038 0.048 0.000 0.000 0.136 0.000 0.816
#> BF57D382-9256-40D4-8DDE-6C0DD2A91544 3 0.6480 0.3199 0.000 0.332 0.480 0.008 0.040 0.140
#> 9EFD245F-5EC0-442F-B811-4E3332B10748 5 0.1910 0.8041 0.000 0.000 0.108 0.000 0.892 0.000
#> 6B3E9359-93BF-45F3-8039-CF28412822A4 6 0.3296 0.5684 0.008 0.000 0.000 0.188 0.012 0.792
#> 1F120308-A696-4411-9470-F6546EA5DE04 1 0.0551 0.8281 0.984 0.000 0.000 0.004 0.008 0.004
#> 19398AA7-A439-47DD-B1F4-B1653B18B251 3 0.0000 0.8733 0.000 0.000 1.000 0.000 0.000 0.000
#> C2B09A25-D021-4C93-AA1B-240D41B96B01 1 0.0777 0.8335 0.972 0.000 0.000 0.004 0.000 0.024
#> 4F272BAD-B5CF-4455-8333-40A4BAF2A20F 2 0.3076 0.6780 0.000 0.760 0.000 0.000 0.240 0.000
#> 57373041-9D22-4DB1-AA56-97733339391B 1 0.4608 0.6379 0.680 0.000 0.000 0.100 0.000 0.220
#> E9093C51-69E0-407D-9D11-226C83DC61BD 3 0.0000 0.8733 0.000 0.000 1.000 0.000 0.000 0.000
#> F6AFB248-1A25-4407-91F4-D6F309AA1FD8 1 0.0653 0.8266 0.980 0.000 0.000 0.004 0.012 0.004
#> ABCC1024-67F3-4164-B69E-DE85E2BDA4AE 6 0.2244 0.6733 0.024 0.024 0.000 0.024 0.012 0.916
#> 2B1931F7-7AC3-4E4F-B05D-32B7645D7084 2 0.3837 0.6874 0.212 0.752 0.000 0.016 0.020 0.000
#> 71D47C16-F09F-4932-8BAB-983BDA1C9B1F 1 0.2933 0.7650 0.796 0.000 0.000 0.004 0.000 0.200
#> F6788A89-A4C8-4863-859E-A94E3D64C10E 3 0.0260 0.8707 0.000 0.000 0.992 0.000 0.008 0.000
#> 2D07851E-3CF9-4B2C-BC2F-0527D4E216BD 3 0.0146 0.8722 0.000 0.004 0.996 0.000 0.000 0.000
#> 3BA01819-0E4C-4277-91CF-0B5AB2E0E3F2 6 0.3046 0.6082 0.188 0.000 0.000 0.012 0.000 0.800
#> B743D4F2-DA2C-4F41-8D7E-C9EE70C2F37F 5 0.1610 0.8486 0.000 0.084 0.000 0.000 0.916 0.000
#> 95F20ABB-7B0F-42AC-82E2-3A64A4735E0E 6 0.3151 0.4235 0.000 0.000 0.000 0.252 0.000 0.748
#> B013515B-3825-40E0-9854-04EC0AFE600D 2 0.1970 0.7756 0.000 0.920 0.000 0.008 0.028 0.044
#> 896CC027-DF93-4D65-95D5-229E65B7A6A2 5 0.1501 0.8519 0.000 0.076 0.000 0.000 0.924 0.000
#> 4AAA6060-A678-48B4-A2ED-388D0FFB229F 4 0.3483 0.5794 0.000 0.048 0.004 0.832 0.096 0.020
#> 2D07A1BF-0304-4276-98CB-91EB72552B34 5 0.4625 0.6639 0.000 0.104 0.000 0.216 0.680 0.000
#> F3230D6D-CEB1-4A20-BFB5-E0D31E0AB417 3 0.0000 0.8733 0.000 0.000 1.000 0.000 0.000 0.000
#> 529769DB-59A0-4E69-8860-13C7CAA1DB92 4 0.4176 0.5251 0.016 0.000 0.000 0.580 0.000 0.404
#> 002A3E61-7200-4B45-9704-6A9360233390 6 0.2886 0.6392 0.000 0.060 0.000 0.028 0.040 0.872
#> A67B8B9E-1E8A-4848-9D09-0E266A44CF40 4 0.4852 0.3762 0.056 0.000 0.000 0.492 0.000 0.452
#> 1242A492-03F1-42C0-A0D7-A1ADFD034E47 2 0.5728 0.1955 0.000 0.476 0.000 0.108 0.400 0.016
#> 7B83B2C9-AFE1-4958-B90E-C37F1B354174 6 0.4077 0.6202 0.008 0.000 0.096 0.076 0.024 0.796
#> B5BC7140-9621-4C84-81ED-D556D765A0C6 2 0.3655 0.7584 0.000 0.792 0.000 0.112 0.096 0.000
#> 9E8B5156-8285-4DFD-80BB-3087C7FA125C 1 0.2666 0.7946 0.864 0.000 0.000 0.112 0.012 0.012
#> 1D39B873-4E7C-491F-A42C-40053AA7EF06 4 0.3620 0.6078 0.000 0.000 0.000 0.648 0.000 0.352
#> 9A9DC386-ECA6-4423-9DC6-401BFC4558FF 5 0.1204 0.8555 0.000 0.056 0.000 0.000 0.944 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
sessionInfo()
#> R version 3.6.0 (2019-04-26)
#> Platform: x86_64-pc-linux-gnu (64-bit)
#> Running under: CentOS Linux 7 (Core)
#>
#> Matrix products: default
#> BLAS: /usr/lib64/libblas.so.3.4.2
#> LAPACK: /usr/lib64/liblapack.so.3.4.2
#>
#> locale:
#> [1] LC_CTYPE=en_GB.UTF-8 LC_NUMERIC=C LC_TIME=en_GB.UTF-8
#> [4] LC_COLLATE=en_GB.UTF-8 LC_MONETARY=en_GB.UTF-8 LC_MESSAGES=en_GB.UTF-8
#> [7] LC_PAPER=en_GB.UTF-8 LC_NAME=C LC_ADDRESS=C
#> [10] LC_TELEPHONE=C LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C
#>
#> attached base packages:
#> [1] grid stats graphics grDevices utils datasets methods base
#>
#> other attached packages:
#> [1] genefilter_1.66.0 ComplexHeatmap_2.3.1 markdown_1.1 knitr_1.26
#> [5] GetoptLong_0.1.7 cola_1.3.2
#>
#> loaded via a namespace (and not attached):
#> [1] circlize_0.4.8 shape_1.4.4 xfun_0.11 slam_0.1-46
#> [5] lattice_0.20-38 splines_3.6.0 colorspace_1.4-1 vctrs_0.2.0
#> [9] stats4_3.6.0 blob_1.2.0 XML_3.98-1.20 survival_2.44-1.1
#> [13] rlang_0.4.2 pillar_1.4.2 DBI_1.0.0 BiocGenerics_0.30.0
#> [17] bit64_0.9-7 RColorBrewer_1.1-2 matrixStats_0.55.0 stringr_1.4.0
#> [21] GlobalOptions_0.1.1 evaluate_0.14 memoise_1.1.0 Biobase_2.44.0
#> [25] IRanges_2.18.3 parallel_3.6.0 AnnotationDbi_1.46.1 highr_0.8
#> [29] Rcpp_1.0.3 xtable_1.8-4 backports_1.1.5 S4Vectors_0.22.1
#> [33] annotate_1.62.0 skmeans_0.2-11 bit_1.1-14 microbenchmark_1.4-7
#> [37] brew_1.0-6 impute_1.58.0 rjson_0.2.20 png_0.1-7
#> [41] digest_0.6.23 stringi_1.4.3 polyclip_1.10-0 clue_0.3-57
#> [45] tools_3.6.0 bitops_1.0-6 magrittr_1.5 eulerr_6.0.0
#> [49] RCurl_1.95-4.12 RSQLite_2.1.4 tibble_2.1.3 cluster_2.1.0
#> [53] crayon_1.3.4 pkgconfig_2.0.3 zeallot_0.1.0 Matrix_1.2-17
#> [57] xml2_1.2.2 httr_1.4.1 R6_2.4.1 mclust_5.4.5
#> [61] compiler_3.6.0