Date: 2019-12-26 01:22:14 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 17288 rows and 266 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] 17288 266
The density distribution for each sample is visualized as in one column in the following heatmap. The clustering is based on the distance which is the Kolmogorov-Smirnov statistic between two distributions.
library(ComplexHeatmap)
densityHeatmap(mat, ylab = "value", cluster_columns = TRUE, show_column_names = FALSE,
mc.cores = 4)
Folowing table shows the best k (number of partitions) for each combination
of top-value methods and partition methods. Clicking on the method name in
the table goes to the section for a single combination of methods.
The cola vignette explains the definition of the metrics used for determining the best number of partitions.
suggest_best_k(res_list)
| The best k | 1-PAC | Mean silhouette | Concordance | Optional k | ||
|---|---|---|---|---|---|---|
| SD:hclust | 2 | 1.000 | 0.990 | 0.996 | ** | |
| SD:kmeans | 2 | 1.000 | 1.000 | 1.000 | ** | |
| SD:skmeans | 3 | 1.000 | 0.974 | 0.989 | ** | 2 |
| SD:pam | 2 | 1.000 | 1.000 | 1.000 | ** | |
| SD:mclust | 2 | 1.000 | 0.999 | 1.000 | ** | |
| SD:NMF | 2 | 1.000 | 0.998 | 0.999 | ** | |
| CV:hclust | 2 | 1.000 | 0.995 | 0.998 | ** | |
| CV:kmeans | 2 | 1.000 | 0.994 | 0.997 | ** | |
| CV:pam | 2 | 1.000 | 0.995 | 0.998 | ** | |
| CV:mclust | 2 | 1.000 | 0.991 | 0.996 | ** | |
| CV:NMF | 2 | 1.000 | 0.992 | 0.997 | ** | |
| MAD:kmeans | 2 | 1.000 | 1.000 | 1.000 | ** | |
| MAD:pam | 2 | 1.000 | 1.000 | 1.000 | ** | |
| MAD:mclust | 2 | 1.000 | 0.999 | 1.000 | ** | |
| MAD:NMF | 2 | 1.000 | 0.984 | 0.994 | ** | |
| ATC:kmeans | 2 | 1.000 | 0.998 | 0.999 | ** | |
| ATC:mclust | 2 | 1.000 | 1.000 | 1.000 | ** | |
| ATC:NMF | 2 | 1.000 | 0.995 | 0.998 | ** | |
| MAD:hclust | 2 | 0.992 | 0.974 | 0.987 | ** | |
| ATC:pam | 3 | 0.989 | 0.959 | 0.981 | ** | 2 |
| CV:skmeans | 3 | 0.973 | 0.939 | 0.976 | ** | 2 |
| ATC:skmeans | 3 | 0.960 | 0.934 | 0.974 | ** | 2 |
| MAD:skmeans | 3 | 0.947 | 0.923 | 0.967 | * | 2 |
| ATC:hclust | 2 | 0.892 | 0.922 | 0.961 |
**: 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 1.000 0.998 0.999 0.439 0.561 0.561
#> CV:NMF 2 1.000 0.992 0.997 0.440 0.561 0.561
#> MAD:NMF 2 1.000 0.984 0.994 0.444 0.556 0.556
#> ATC:NMF 2 1.000 0.995 0.998 0.436 0.566 0.566
#> SD:skmeans 2 1.000 0.997 0.999 0.449 0.551 0.551
#> CV:skmeans 2 1.000 0.987 0.994 0.449 0.553 0.553
#> MAD:skmeans 2 1.000 0.983 0.993 0.449 0.553 0.553
#> ATC:skmeans 2 1.000 0.990 0.996 0.465 0.535 0.535
#> SD:mclust 2 1.000 0.999 1.000 0.434 0.566 0.566
#> CV:mclust 2 1.000 0.991 0.996 0.435 0.566 0.566
#> MAD:mclust 2 1.000 0.999 1.000 0.434 0.566 0.566
#> ATC:mclust 2 1.000 1.000 1.000 0.434 0.566 0.566
#> SD:kmeans 2 1.000 1.000 1.000 0.434 0.566 0.566
#> CV:kmeans 2 1.000 0.994 0.997 0.434 0.566 0.566
#> MAD:kmeans 2 1.000 1.000 1.000 0.434 0.566 0.566
#> ATC:kmeans 2 1.000 0.998 0.999 0.437 0.563 0.563
#> SD:pam 2 1.000 1.000 1.000 0.434 0.566 0.566
#> CV:pam 2 1.000 0.995 0.998 0.433 0.566 0.566
#> MAD:pam 2 1.000 1.000 1.000 0.434 0.566 0.566
#> ATC:pam 2 1.000 0.995 0.998 0.440 0.561 0.561
#> SD:hclust 2 1.000 0.990 0.996 0.435 0.566 0.566
#> CV:hclust 2 1.000 0.995 0.998 0.434 0.566 0.566
#> MAD:hclust 2 0.992 0.974 0.987 0.441 0.566 0.566
#> ATC:hclust 2 0.892 0.922 0.961 0.453 0.566 0.566
get_stats(res_list, k = 3)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 3 0.874 0.908 0.960 0.3709 0.840 0.716
#> CV:NMF 3 0.808 0.896 0.932 0.4553 0.779 0.607
#> MAD:NMF 3 0.880 0.912 0.960 0.3220 0.856 0.745
#> ATC:NMF 3 0.955 0.934 0.971 0.0812 0.977 0.960
#> SD:skmeans 3 1.000 0.974 0.989 0.4456 0.784 0.614
#> CV:skmeans 3 0.973 0.939 0.976 0.4609 0.778 0.602
#> MAD:skmeans 3 0.947 0.923 0.967 0.4343 0.781 0.609
#> ATC:skmeans 3 0.960 0.934 0.974 0.3268 0.823 0.676
#> SD:mclust 3 0.670 0.750 0.812 0.3608 0.876 0.782
#> CV:mclust 3 0.674 0.822 0.876 0.4536 0.765 0.585
#> MAD:mclust 3 0.665 0.711 0.846 0.3883 0.829 0.699
#> ATC:mclust 3 0.766 0.820 0.917 0.3656 0.829 0.699
#> SD:kmeans 3 0.717 0.921 0.897 0.4165 0.781 0.614
#> CV:kmeans 3 0.670 0.846 0.859 0.4031 0.789 0.627
#> MAD:kmeans 3 0.696 0.909 0.893 0.4265 0.776 0.605
#> ATC:kmeans 3 0.770 0.932 0.950 0.4393 0.794 0.635
#> SD:pam 3 0.834 0.876 0.945 0.5025 0.786 0.622
#> CV:pam 3 0.855 0.913 0.959 0.5122 0.780 0.612
#> MAD:pam 3 0.856 0.865 0.945 0.4896 0.786 0.622
#> ATC:pam 3 0.989 0.959 0.981 0.4313 0.803 0.651
#> SD:hclust 3 0.649 0.834 0.876 0.1884 0.995 0.991
#> CV:hclust 3 0.874 0.930 0.959 0.0759 0.995 0.991
#> MAD:hclust 3 0.590 0.612 0.807 0.3191 0.839 0.715
#> ATC:hclust 3 0.714 0.726 0.886 0.3330 0.848 0.731
get_stats(res_list, k = 4)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 4 0.880 0.893 0.946 0.1209 0.848 0.656
#> CV:NMF 4 0.891 0.863 0.921 0.0929 0.954 0.870
#> MAD:NMF 4 0.784 0.820 0.910 0.1272 0.842 0.656
#> ATC:NMF 4 0.689 0.742 0.879 0.3366 0.816 0.666
#> SD:skmeans 4 0.779 0.735 0.856 0.1184 0.898 0.720
#> CV:skmeans 4 0.814 0.682 0.835 0.1181 0.927 0.791
#> MAD:skmeans 4 0.790 0.755 0.891 0.1176 0.878 0.675
#> ATC:skmeans 4 0.880 0.857 0.937 0.1210 0.914 0.778
#> SD:mclust 4 0.651 0.708 0.844 0.1555 0.800 0.571
#> CV:mclust 4 0.626 0.822 0.823 0.0944 0.926 0.790
#> MAD:mclust 4 0.678 0.733 0.862 0.1606 0.803 0.561
#> ATC:mclust 4 0.700 0.779 0.879 0.1702 0.810 0.577
#> SD:kmeans 4 0.660 0.563 0.789 0.1473 0.980 0.942
#> CV:kmeans 4 0.594 0.636 0.797 0.1365 0.939 0.837
#> MAD:kmeans 4 0.684 0.652 0.804 0.1373 0.922 0.789
#> ATC:kmeans 4 0.753 0.668 0.809 0.1207 0.877 0.675
#> SD:pam 4 0.723 0.744 0.823 0.0881 0.890 0.711
#> CV:pam 4 0.781 0.785 0.880 0.0586 0.952 0.866
#> MAD:pam 4 0.748 0.805 0.867 0.1086 0.867 0.660
#> ATC:pam 4 0.760 0.842 0.883 0.0931 0.952 0.871
#> SD:hclust 4 0.566 0.599 0.769 0.1962 0.795 0.636
#> CV:hclust 4 0.618 0.826 0.849 0.1486 0.993 0.988
#> MAD:hclust 4 0.561 0.573 0.761 0.1253 0.829 0.622
#> ATC:hclust 4 0.732 0.718 0.884 0.0449 0.936 0.848
get_stats(res_list, k = 5)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 5 0.807 0.714 0.857 0.0758 0.980 0.939
#> CV:NMF 5 0.791 0.724 0.837 0.0771 0.912 0.732
#> MAD:NMF 5 0.742 0.743 0.861 0.0868 0.969 0.910
#> ATC:NMF 5 0.668 0.657 0.847 0.1221 0.872 0.680
#> SD:skmeans 5 0.783 0.647 0.811 0.0543 0.918 0.727
#> CV:skmeans 5 0.788 0.667 0.807 0.0457 0.924 0.748
#> MAD:skmeans 5 0.822 0.668 0.842 0.0688 0.917 0.719
#> ATC:skmeans 5 0.793 0.773 0.870 0.0716 0.921 0.756
#> SD:mclust 5 0.633 0.615 0.799 0.0663 0.952 0.844
#> CV:mclust 5 0.714 0.644 0.823 0.0838 0.924 0.757
#> MAD:mclust 5 0.649 0.618 0.794 0.0516 0.968 0.896
#> ATC:mclust 5 0.675 0.669 0.812 0.0566 0.966 0.891
#> SD:kmeans 5 0.617 0.464 0.648 0.0794 0.843 0.564
#> CV:kmeans 5 0.656 0.641 0.696 0.0831 0.856 0.582
#> MAD:kmeans 5 0.620 0.495 0.676 0.0816 0.862 0.598
#> ATC:kmeans 5 0.680 0.744 0.788 0.0668 0.896 0.656
#> SD:pam 5 0.792 0.862 0.885 0.0790 0.914 0.724
#> CV:pam 5 0.788 0.807 0.904 0.0440 0.924 0.773
#> MAD:pam 5 0.665 0.570 0.710 0.0810 0.917 0.731
#> ATC:pam 5 0.790 0.746 0.888 0.1173 0.863 0.608
#> SD:hclust 5 0.520 0.571 0.788 0.0866 0.824 0.588
#> CV:hclust 5 0.585 0.419 0.786 0.1039 0.882 0.787
#> MAD:hclust 5 0.551 0.522 0.763 0.0734 0.812 0.540
#> ATC:hclust 5 0.742 0.793 0.890 0.1342 0.855 0.626
get_stats(res_list, k = 6)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 6 0.785 0.753 0.854 0.0634 0.890 0.657
#> CV:NMF 6 0.836 0.743 0.867 0.0564 0.919 0.693
#> MAD:NMF 6 0.762 0.730 0.833 0.0576 0.925 0.769
#> ATC:NMF 6 0.646 0.600 0.792 0.0620 0.942 0.817
#> SD:skmeans 6 0.767 0.615 0.773 0.0442 0.899 0.646
#> CV:skmeans 6 0.777 0.636 0.705 0.0467 0.898 0.619
#> MAD:skmeans 6 0.756 0.705 0.788 0.0421 0.907 0.646
#> ATC:skmeans 6 0.834 0.822 0.888 0.0523 0.941 0.777
#> SD:mclust 6 0.661 0.605 0.774 0.0466 0.949 0.827
#> CV:mclust 6 0.740 0.595 0.781 0.0344 0.928 0.737
#> MAD:mclust 6 0.648 0.599 0.732 0.0502 0.910 0.709
#> ATC:mclust 6 0.621 0.532 0.753 0.0416 0.947 0.815
#> SD:kmeans 6 0.660 0.534 0.670 0.0418 0.931 0.723
#> CV:kmeans 6 0.664 0.509 0.655 0.0481 0.922 0.684
#> MAD:kmeans 6 0.655 0.543 0.696 0.0508 0.891 0.587
#> ATC:kmeans 6 0.687 0.646 0.766 0.0525 0.942 0.760
#> SD:pam 6 0.854 0.829 0.911 0.0788 0.921 0.681
#> CV:pam 6 0.713 0.591 0.798 0.0620 0.953 0.840
#> MAD:pam 6 0.815 0.766 0.864 0.0653 0.902 0.614
#> ATC:pam 6 0.822 0.722 0.855 0.0689 0.854 0.476
#> SD:hclust 6 0.517 0.565 0.743 0.0705 0.940 0.817
#> CV:hclust 6 0.569 0.662 0.830 0.0935 0.883 0.744
#> MAD:hclust 6 0.539 0.500 0.733 0.0525 0.898 0.691
#> ATC:hclust 6 0.680 0.651 0.832 0.0381 0.982 0.932
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 17288 rows and 266 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 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.990 0.996 0.4349 0.566 0.566
#> 3 3 0.649 0.834 0.876 0.1884 0.995 0.991
#> 4 4 0.566 0.599 0.769 0.1962 0.795 0.636
#> 5 5 0.520 0.571 0.788 0.0866 0.824 0.588
#> 6 6 0.517 0.565 0.743 0.0705 0.940 0.817
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.000 0.996 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.000 0.996 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.000 0.995 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.000 0.996 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.000 0.996 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.000 0.996 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.118 0.982 0.016 0.984
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.000 0.995 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.000 0.995 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.141 0.978 0.020 0.980
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.118 0.980 0.984 0.016
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.141 0.978 0.020 0.980
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.118 0.980 0.984 0.016
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.000 0.995 1.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.000 0.995 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.000 0.996 0.000 1.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.000 0.996 0.000 1.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.000 0.996 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.000 0.996 0.000 1.000
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#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.000 0.996 0.000 1.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.000 0.995 1.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.000 0.995 1.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.000 0.996 0.000 1.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.000 0.996 0.000 1.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.000 0.996 0.000 1.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.000 0.995 1.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.000 0.996 0.000 1.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.000 0.996 0.000 1.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.000 0.995 1.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.000 0.996 0.000 1.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.000 0.996 0.000 1.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.000 0.995 1.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.000 0.995 1.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.000 0.996 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.000 0.995 1.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.000 0.996 0.000 1.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.000 0.996 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.000 0.996 0.000 1.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.000 0.995 1.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.000 0.996 0.000 1.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.000 0.996 0.000 1.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.000 0.996 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.000 0.996 0.000 1.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.000 0.996 0.000 1.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.000 0.996 0.000 1.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.000 0.996 0.000 1.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.000 0.995 1.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.000 0.996 0.000 1.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.000 0.996 0.000 1.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.118 0.982 0.016 0.984
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.000 0.996 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.000 0.995 1.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.000 0.996 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.000 0.996 0.000 1.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.000 0.996 0.000 1.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.000 0.996 0.000 1.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.000 0.995 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.000 0.996 0.000 1.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.000 0.996 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.000 0.995 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.000 0.996 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.000 0.995 1.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.000 0.996 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.000 0.995 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.000 0.996 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.000 0.995 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.000 0.995 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.000 0.996 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.000 0.996 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.000 0.995 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.000 0.996 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.000 0.996 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.1529 0.848 0.000 0.960 0.040
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.3619 0.810 0.000 0.864 0.136
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.954 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.2625 0.840 0.000 0.916 0.084
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.2959 0.834 0.000 0.900 0.100
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.2959 0.834 0.000 0.900 0.100
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.3879 0.785 0.000 0.848 0.152
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.954 1.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.954 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.4654 0.710 0.000 0.792 0.208
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.6192 0.403 0.580 0.000 0.420
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.5216 0.619 0.000 0.740 0.260
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.6192 0.403 0.580 0.000 0.420
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.954 1.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.954 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.1529 0.848 0.000 0.960 0.040
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.3686 0.806 0.000 0.860 0.140
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.2796 0.834 0.000 0.908 0.092
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.2625 0.844 0.000 0.916 0.084
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.2448 0.848 0.000 0.924 0.076
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.2878 0.836 0.000 0.904 0.096
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.2066 0.927 0.940 0.000 0.060
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.3686 0.806 0.000 0.860 0.140
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0237 0.953 0.996 0.000 0.004
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.3038 0.853 0.000 0.896 0.104
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.4178 0.757 0.000 0.828 0.172
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.954 1.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.1411 0.854 0.000 0.964 0.036
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.2066 0.927 0.940 0.000 0.060
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.2878 0.835 0.000 0.904 0.096
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.954 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.2796 0.831 0.000 0.908 0.092
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.8081 0.132 0.644 0.220 0.136
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.954 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.2959 0.834 0.000 0.900 0.100
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.5216 0.667 0.000 0.740 0.260
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.3192 0.830 0.000 0.888 0.112
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.8285 0.000 0.112 0.288 0.600
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.2959 0.844 0.000 0.900 0.100
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.2959 0.901 0.900 0.000 0.100
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.4796 0.689 0.000 0.780 0.220
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.954 1.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.3619 0.810 0.000 0.864 0.136
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.1643 0.847 0.000 0.956 0.044
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.1643 0.853 0.000 0.956 0.044
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.3412 0.833 0.000 0.876 0.124
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.1529 0.848 0.000 0.960 0.040
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.2066 0.858 0.000 0.940 0.060
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.2537 0.844 0.000 0.920 0.080
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.2356 0.919 0.928 0.000 0.072
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.1753 0.857 0.000 0.952 0.048
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.3686 0.806 0.000 0.860 0.140
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.954 1.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.954 1.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.2625 0.840 0.000 0.916 0.084
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.3551 0.813 0.000 0.868 0.132
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0237 0.953 0.996 0.000 0.004
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.1289 0.856 0.000 0.968 0.032
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.3686 0.806 0.000 0.860 0.140
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.1529 0.854 0.000 0.960 0.040
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.1643 0.853 0.000 0.956 0.044
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.2796 0.834 0.000 0.908 0.092
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.1529 0.856 0.000 0.960 0.040
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.5178 0.675 0.000 0.744 0.256
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.2796 0.840 0.000 0.908 0.092
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.3686 0.806 0.000 0.860 0.140
#> CF629C65-585D-476D-B081-3E6E0575FAE3 2 0.5363 0.584 0.000 0.724 0.276
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.1529 0.854 0.000 0.960 0.040
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.954 1.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.1529 0.848 0.000 0.960 0.040
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.1860 0.930 0.948 0.000 0.052
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.3686 0.866 0.860 0.000 0.140
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.4796 0.689 0.000 0.780 0.220
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.4178 0.813 0.000 0.828 0.172
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.1643 0.853 0.000 0.956 0.044
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.954 1.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.1643 0.847 0.000 0.956 0.044
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 2 0.5216 0.619 0.000 0.740 0.260
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.1643 0.847 0.000 0.956 0.044
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 2 0.5058 0.650 0.000 0.756 0.244
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.3412 0.828 0.000 0.876 0.124
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0237 0.953 0.996 0.000 0.004
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.4796 0.689 0.000 0.780 0.220
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.1163 0.855 0.000 0.972 0.028
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.2959 0.901 0.900 0.000 0.100
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.3619 0.810 0.000 0.864 0.136
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.3038 0.820 0.000 0.896 0.104
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.3192 0.854 0.000 0.888 0.112
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.2796 0.827 0.000 0.908 0.092
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.2878 0.846 0.000 0.904 0.096
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0.4796 0.689 0.000 0.780 0.220
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.954 1.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.3482 0.816 0.000 0.872 0.128
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0424 0.952 0.992 0.000 0.008
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.954 1.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.4796 0.689 0.000 0.780 0.220
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0.4796 0.689 0.000 0.780 0.220
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 0.954 1.000 0.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.1753 0.846 0.000 0.952 0.048
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.954 1.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.3116 0.833 0.000 0.892 0.108
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.2796 0.834 0.000 0.908 0.092
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.954 1.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.1529 0.856 0.000 0.960 0.040
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0000 0.954 1.000 0.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.2625 0.840 0.000 0.916 0.084
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.3192 0.830 0.000 0.888 0.112
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.954 1.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 2 0.3038 0.832 0.000 0.896 0.104
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.2796 0.834 0.000 0.908 0.092
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0.4796 0.689 0.000 0.780 0.220
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0237 0.953 0.996 0.000 0.004
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.954 1.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0237 0.953 0.996 0.000 0.004
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.1964 0.859 0.000 0.944 0.056
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.4750 0.694 0.000 0.784 0.216
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.1529 0.855 0.000 0.960 0.040
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.2711 0.850 0.000 0.912 0.088
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.1529 0.854 0.000 0.960 0.040
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.4796 0.689 0.000 0.780 0.220
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.3686 0.806 0.000 0.860 0.140
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 2 0.5216 0.619 0.000 0.740 0.260
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.2796 0.834 0.000 0.908 0.092
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0892 0.853 0.000 0.980 0.020
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.3686 0.806 0.000 0.860 0.140
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.1529 0.848 0.000 0.960 0.040
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.1643 0.854 0.000 0.956 0.044
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0.4178 0.757 0.000 0.828 0.172
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.4121 0.841 0.832 0.000 0.168
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.3116 0.841 0.000 0.892 0.108
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 2 0.5216 0.619 0.000 0.740 0.260
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.954 1.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.3686 0.824 0.000 0.860 0.140
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.5254 0.611 0.000 0.736 0.264
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0237 0.953 0.996 0.000 0.004
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.2796 0.840 0.000 0.908 0.092
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.1643 0.857 0.000 0.956 0.044
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.954 1.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.1529 0.848 0.000 0.960 0.040
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0237 0.953 0.996 0.000 0.004
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.3192 0.854 0.000 0.888 0.112
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.3192 0.854 0.000 0.888 0.112
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.5363 0.596 0.000 0.724 0.276
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.3038 0.832 0.000 0.896 0.104
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.954 1.000 0.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.1860 0.930 0.948 0.000 0.052
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.3482 0.816 0.000 0.872 0.128
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.3619 0.810 0.000 0.864 0.136
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0.4702 0.701 0.000 0.788 0.212
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.2261 0.858 0.000 0.932 0.068
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 2 0.5058 0.653 0.000 0.756 0.244
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0237 0.953 0.996 0.000 0.004
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.3192 0.831 0.000 0.888 0.112
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.954 1.000 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.954 1.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.2356 0.853 0.000 0.928 0.072
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.2959 0.901 0.900 0.000 0.100
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.2796 0.834 0.000 0.908 0.092
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.3686 0.806 0.000 0.860 0.140
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.1411 0.855 0.000 0.964 0.036
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.5327 0.593 0.000 0.728 0.272
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.954 1.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0237 0.953 0.996 0.000 0.004
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.2796 0.831 0.000 0.908 0.092
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0.4796 0.689 0.000 0.780 0.220
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.3686 0.866 0.860 0.000 0.140
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.954 1.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.954 1.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.3686 0.806 0.000 0.860 0.140
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 2 0.5327 0.593 0.000 0.728 0.272
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.4121 0.841 0.832 0.000 0.168
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.1529 0.856 0.000 0.960 0.040
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.1289 0.854 0.000 0.968 0.032
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0.2878 0.833 0.000 0.904 0.096
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.3686 0.866 0.860 0.000 0.140
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.954 1.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.1643 0.847 0.000 0.956 0.044
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.3038 0.842 0.000 0.896 0.104
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.2796 0.834 0.000 0.908 0.092
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.2959 0.901 0.900 0.000 0.100
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.2711 0.842 0.000 0.912 0.088
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.954 1.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.3686 0.806 0.000 0.860 0.140
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.1860 0.930 0.948 0.000 0.052
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.4796 0.689 0.000 0.780 0.220
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.3619 0.810 0.000 0.864 0.136
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.2711 0.833 0.000 0.912 0.088
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.2711 0.833 0.000 0.912 0.088
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.3686 0.806 0.000 0.860 0.140
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.1529 0.856 0.000 0.960 0.040
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0237 0.953 0.996 0.000 0.004
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.954 1.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.1643 0.847 0.000 0.956 0.044
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.4178 0.839 0.828 0.000 0.172
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.1529 0.857 0.000 0.960 0.040
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.2066 0.927 0.940 0.000 0.060
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.3686 0.806 0.000 0.860 0.140
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.4796 0.689 0.000 0.780 0.220
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.4796 0.689 0.000 0.780 0.220
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.954 1.000 0.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.3192 0.830 0.000 0.888 0.112
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.2356 0.847 0.000 0.928 0.072
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.3482 0.816 0.000 0.872 0.128
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.1289 0.854 0.000 0.968 0.032
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.3879 0.776 0.000 0.848 0.152
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.2711 0.850 0.000 0.912 0.088
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.954 1.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.954 1.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.3192 0.830 0.000 0.888 0.112
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.1753 0.846 0.000 0.952 0.048
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.2796 0.834 0.000 0.908 0.092
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.1860 0.857 0.000 0.948 0.052
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.6192 0.403 0.580 0.000 0.420
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.5327 0.593 0.000 0.728 0.272
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.4121 0.841 0.832 0.000 0.168
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.954 1.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.2959 0.844 0.000 0.900 0.100
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.3686 0.806 0.000 0.860 0.140
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.1411 0.854 0.000 0.964 0.036
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.954 1.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.2711 0.854 0.000 0.912 0.088
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.2625 0.840 0.000 0.916 0.084
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.954 1.000 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.1411 0.856 0.000 0.964 0.036
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.2537 0.847 0.000 0.920 0.080
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.954 1.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0237 0.953 0.996 0.000 0.004
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.3879 0.776 0.000 0.848 0.152
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.1860 0.930 0.948 0.000 0.052
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.2796 0.840 0.000 0.908 0.092
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.4555 0.728 0.000 0.800 0.200
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.3619 0.810 0.000 0.864 0.136
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.2959 0.901 0.900 0.000 0.100
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.3686 0.806 0.000 0.860 0.140
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.3619 0.810 0.000 0.864 0.136
#> B3527517-E339-46AE-8437-65303C309015 2 0.2878 0.833 0.000 0.904 0.096
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.3619 0.810 0.000 0.864 0.136
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.2165 0.847 0.000 0.936 0.064
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.3192 0.854 0.000 0.888 0.112
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.1529 0.856 0.000 0.960 0.040
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.954 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.5327 0.593 0.000 0.728 0.272
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.2878 0.836 0.000 0.904 0.096
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.4178 0.757 0.000 0.828 0.172
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.2959 0.821 0.000 0.900 0.100
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.2066 0.927 0.940 0.000 0.060
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.2796 0.831 0.000 0.908 0.092
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.2625 0.844 0.000 0.916 0.084
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.1529 0.848 0.000 0.960 0.040
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.3686 0.806 0.000 0.860 0.140
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.954 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.3686 0.806 0.000 0.860 0.140
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.3192 0.831 0.000 0.888 0.112
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.954 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.3619 0.810 0.000 0.864 0.136
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0237 0.953 0.996 0.000 0.004
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.3619 0.810 0.000 0.864 0.136
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0237 0.953 0.996 0.000 0.004
#> CE91F591-6072-4D29-9495-C78961635969 2 0.1411 0.854 0.000 0.964 0.036
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.954 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.954 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.3619 0.810 0.000 0.864 0.136
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.1643 0.854 0.000 0.956 0.044
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.954 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0892 0.853 0.000 0.980 0.020
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.3686 0.806 0.000 0.860 0.140
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.4981 0.06159 0.000 0.536 0.464 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0707 0.63839 0.000 0.980 0.020 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0188 0.95516 0.996 0.000 0.000 0.004
#> 3182DEA1-4239-4613-925A-7E6503766AD6 3 0.4941 0.31988 0.000 0.436 0.564 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.4989 0.04378 0.000 0.528 0.472 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.4989 0.04378 0.000 0.528 0.472 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.4382 0.61419 0.000 0.296 0.704 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0188 0.95516 0.996 0.000 0.000 0.004
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.95576 1.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.3726 0.69208 0.000 0.212 0.788 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 4 0.3342 1.00000 0.100 0.000 0.032 0.868
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.2704 0.68699 0.000 0.124 0.876 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 4 0.3342 1.00000 0.100 0.000 0.032 0.868
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0188 0.95516 0.996 0.000 0.000 0.004
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.95576 1.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.5000 -0.08797 0.000 0.504 0.496 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0469 0.63385 0.000 0.988 0.012 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.4994 0.01692 0.000 0.520 0.480 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 3 0.4955 0.29881 0.000 0.444 0.556 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.3123 0.63700 0.000 0.844 0.156 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.2589 0.64626 0.000 0.884 0.116 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.2466 0.91637 0.916 0.000 0.028 0.056
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0188 0.62937 0.000 0.996 0.004 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0592 0.95185 0.984 0.000 0.000 0.016
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.5004 0.29595 0.000 0.604 0.392 0.004
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.4103 0.65907 0.000 0.256 0.744 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0188 0.95516 0.996 0.000 0.000 0.004
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.4961 0.12047 0.000 0.552 0.448 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.2224 0.91953 0.928 0.000 0.032 0.040
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.5151 0.08429 0.000 0.532 0.464 0.004
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.95576 1.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.4972 0.07270 0.000 0.544 0.456 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.5657 0.29781 0.644 0.000 0.312 0.044
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#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.3266 0.72019 0.000 0.168 0.832 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0592 0.95194 0.984 0.000 0.000 0.016
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.1792 0.64837 0.000 0.932 0.068 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.3074 0.64085 0.000 0.848 0.152 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.1474 0.64873 0.000 0.948 0.052 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.4955 0.13621 0.000 0.556 0.444 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.4134 0.66556 0.000 0.260 0.740 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.3400 0.62790 0.000 0.820 0.180 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0188 0.95516 0.996 0.000 0.000 0.004
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.95576 1.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.1389 0.64602 0.000 0.952 0.048 0.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 3 0.4999 0.12056 0.000 0.492 0.508 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.4994 0.01692 0.000 0.520 0.480 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.4730 0.39532 0.000 0.636 0.364 0.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 4 0.3342 1.00000 0.100 0.000 0.032 0.868
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 3 0.4237 0.69863 0.000 0.152 0.808 0.040
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.4599 0.79281 0.800 0.000 0.112 0.088
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.95576 1.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.5165 -0.01760 0.000 0.512 0.484 0.004
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.62690 0.000 1.000 0.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.4961 0.12047 0.000 0.552 0.448 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.95576 1.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.3726 0.60775 0.000 0.788 0.212 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 3 0.4941 0.31988 0.000 0.436 0.564 0.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0592 0.95194 0.984 0.000 0.000 0.016
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.3837 0.59758 0.000 0.776 0.224 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.3219 0.63366 0.000 0.836 0.164 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.95576 1.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0592 0.95185 0.984 0.000 0.000 0.016
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.4134 0.66556 0.000 0.260 0.740 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.2124 0.92274 0.932 0.000 0.028 0.040
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.2868 0.64299 0.000 0.864 0.136 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.5349 0.52857 0.000 0.336 0.640 0.024
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0336 0.62931 0.000 0.992 0.008 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.3542 0.87414 0.864 0.000 0.060 0.076
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0188 0.62937 0.000 0.996 0.004 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.1022 0.64297 0.000 0.968 0.032 0.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.4948 0.12128 0.000 0.560 0.440 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0921 0.64004 0.000 0.972 0.028 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 3 0.4998 0.15359 0.000 0.488 0.512 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.3444 0.58016 0.000 0.816 0.184 0.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.4916 0.19947 0.000 0.576 0.424 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.95576 1.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 3 0.4237 0.69863 0.000 0.152 0.808 0.040
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.2589 0.64626 0.000 0.884 0.116 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.4103 0.65907 0.000 0.256 0.744 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.4746 0.50052 0.000 0.368 0.632 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.2483 0.91576 0.916 0.000 0.032 0.052
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.4967 0.08429 0.000 0.548 0.452 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 3 0.4955 0.29881 0.000 0.444 0.556 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.4999 -0.06964 0.000 0.508 0.492 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0469 0.63385 0.000 0.988 0.012 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.95576 1.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.62690 0.000 1.000 0.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.2589 0.64408 0.000 0.884 0.116 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.95576 1.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0336 0.62931 0.000 0.992 0.008 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0592 0.95185 0.984 0.000 0.000 0.016
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0921 0.64004 0.000 0.972 0.028 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0524 0.95377 0.988 0.000 0.004 0.008
#> CE91F591-6072-4D29-9495-C78961635969 2 0.4961 0.12047 0.000 0.552 0.448 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.95576 1.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.95576 1.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0921 0.64004 0.000 0.972 0.028 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.3801 0.59656 0.000 0.780 0.220 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.95576 1.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.4985 0.03716 0.000 0.532 0.468 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.62690 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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 3 0.4249 0.4104 0.000 0.432 0.568 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.1502 0.7868 0.000 0.940 0.056 0.000 0.004
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.3177 0.5969 0.792 0.000 0.000 0.000 0.208
#> 3182DEA1-4239-4613-925A-7E6503766AD6 3 0.3636 0.6167 0.000 0.272 0.728 0.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.4235 0.3566 0.000 0.424 0.576 0.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.4235 0.3566 0.000 0.424 0.576 0.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.3714 0.6379 0.000 0.160 0.808 0.016 0.016
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.3143 0.5968 0.796 0.000 0.000 0.000 0.204
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0162 0.7116 0.996 0.000 0.000 0.000 0.004
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.3386 0.6353 0.000 0.088 0.856 0.020 0.036
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 4 0.0000 1.0000 0.000 0.000 0.000 1.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.1568 0.5817 0.000 0.000 0.944 0.020 0.036
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 4 0.0000 1.0000 0.000 0.000 0.000 1.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.3039 0.6283 0.808 0.000 0.000 0.000 0.192
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0162 0.7116 0.996 0.000 0.000 0.000 0.004
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 3 0.4045 0.5502 0.000 0.356 0.644 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.1043 0.7823 0.000 0.960 0.040 0.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.4227 0.3695 0.000 0.420 0.580 0.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 3 0.3684 0.6135 0.000 0.280 0.720 0.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.3480 0.6634 0.000 0.752 0.248 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.2732 0.7538 0.000 0.840 0.160 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.3999 0.3646 0.656 0.000 0.000 0.000 0.344
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0865 0.7750 0.000 0.972 0.024 0.000 0.004
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.3707 0.5107 0.716 0.000 0.000 0.000 0.284
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.4450 -0.1440 0.000 0.508 0.488 0.000 0.004
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.3173 0.6415 0.000 0.112 0.856 0.016 0.016
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.3143 0.5968 0.796 0.000 0.000 0.000 0.204
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 3 0.4182 0.4868 0.000 0.400 0.600 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.3452 0.4994 0.756 0.000 0.000 0.000 0.244
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 3 0.5003 0.3201 0.000 0.424 0.544 0.000 0.032
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.7113 1.000 0.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.4302 0.2409 0.000 0.480 0.520 0.000 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.6175 -0.1477 0.528 0.000 0.160 0.000 0.312
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0703 0.6880 0.976 0.000 0.000 0.000 0.024
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.2813 0.7476 0.000 0.832 0.168 0.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 3 0.6058 0.2866 0.000 0.336 0.528 0.000 0.136
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.2230 0.7798 0.000 0.884 0.116 0.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.5297 -0.3496 0.000 0.000 0.476 0.476 0.048
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 3 0.4898 0.4769 0.000 0.376 0.592 0.000 0.032
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.4256 -0.0030 0.564 0.000 0.000 0.000 0.436
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.1117 0.6246 0.000 0.016 0.964 0.000 0.020
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.7113 1.000 0.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.1768 0.7872 0.000 0.924 0.072 0.000 0.004
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 3 0.3983 0.5660 0.000 0.340 0.660 0.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.3550 0.6500 0.000 0.760 0.236 0.000 0.004
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.2852 0.7312 0.000 0.828 0.172 0.000 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 3 0.4015 0.5578 0.000 0.348 0.652 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.4196 0.4323 0.000 0.640 0.356 0.000 0.004
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 3 0.4803 0.2807 0.000 0.444 0.536 0.000 0.020
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.4138 0.2421 0.616 0.000 0.000 0.000 0.384
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 3 0.4278 0.3687 0.000 0.452 0.548 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.1502 0.7842 0.000 0.940 0.056 0.000 0.004
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.1478 0.6941 0.936 0.000 0.000 0.000 0.064
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.7113 1.000 0.000 0.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.3636 0.6167 0.000 0.272 0.728 0.000 0.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.1121 0.7846 0.000 0.956 0.044 0.000 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.3661 0.5228 0.724 0.000 0.000 0.000 0.276
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.4074 0.3297 0.000 0.636 0.364 0.000 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0771 0.7725 0.000 0.976 0.020 0.000 0.004
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.3707 0.5955 0.000 0.716 0.284 0.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.3814 0.6098 0.000 0.720 0.276 0.000 0.004
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.4227 0.3695 0.000 0.420 0.580 0.000 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.3774 0.5950 0.000 0.704 0.296 0.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 3 0.6046 0.2786 0.000 0.344 0.524 0.000 0.132
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.3074 0.7268 0.000 0.804 0.196 0.000 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.1205 0.7796 0.000 0.956 0.040 0.000 0.004
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.3656 0.5315 0.000 0.020 0.784 0.000 0.196
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 3 0.4299 0.5044 0.000 0.388 0.608 0.000 0.004
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.7113 1.000 0.000 0.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 3 0.4150 0.5122 0.000 0.388 0.612 0.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.3661 0.4796 0.724 0.000 0.000 0.000 0.276
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.4088 -0.2001 0.632 0.000 0.000 0.000 0.368
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.1117 0.6246 0.000 0.016 0.964 0.000 0.020
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.2011 0.7006 0.000 0.908 0.088 0.000 0.004
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.3814 0.6098 0.000 0.720 0.276 0.000 0.004
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0703 0.7066 0.976 0.000 0.000 0.000 0.024
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 3 0.3983 0.5660 0.000 0.340 0.660 0.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.1648 0.5781 0.000 0.000 0.940 0.020 0.040
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 3 0.3983 0.5660 0.000 0.340 0.660 0.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.2499 0.5981 0.000 0.036 0.908 0.016 0.040
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.3635 0.6640 0.000 0.748 0.248 0.000 0.004
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.4382 0.4696 0.688 0.000 0.000 0.024 0.288
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.1117 0.6246 0.000 0.016 0.964 0.000 0.020
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 3 0.4278 0.3658 0.000 0.452 0.548 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.4256 -0.0030 0.564 0.000 0.000 0.000 0.436
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.1410 0.7879 0.000 0.940 0.060 0.000 0.000
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#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.7113 1.000 0.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 3 0.3586 0.5425 0.000 0.020 0.792 0.000 0.188
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.2732 0.7538 0.000 0.840 0.160 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.3173 0.6415 0.000 0.112 0.856 0.016 0.016
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.3551 0.6303 0.000 0.220 0.772 0.000 0.008
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.4060 0.3099 0.640 0.000 0.000 0.000 0.360
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.4306 0.2057 0.000 0.492 0.508 0.000 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 3 0.3684 0.6135 0.000 0.280 0.720 0.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 3 0.4060 0.5456 0.000 0.360 0.640 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.1043 0.7823 0.000 0.960 0.040 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.7113 1.000 0.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0771 0.7725 0.000 0.976 0.020 0.000 0.004
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.3177 0.7099 0.000 0.792 0.208 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.7113 1.000 0.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0451 0.7604 0.000 0.988 0.008 0.000 0.004
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.3661 0.5208 0.724 0.000 0.000 0.000 0.276
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.1638 0.7859 0.000 0.932 0.064 0.000 0.004
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.3274 0.5843 0.780 0.000 0.000 0.000 0.220
#> CE91F591-6072-4D29-9495-C78961635969 3 0.4182 0.4868 0.000 0.400 0.600 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.7113 1.000 0.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.7113 1.000 0.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.1638 0.7859 0.000 0.932 0.064 0.000 0.004
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.3684 0.6031 0.000 0.720 0.280 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.7113 1.000 0.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 3 0.4126 0.5180 0.000 0.380 0.620 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0771 0.7725 0.000 0.976 0.020 0.000 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 3 0.3672 0.3775 0.000 0.368 0.632 0.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.1327 0.7754 0.000 0.936 0.064 0.000 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 6 0.5274 0.1590 0.408 0.000 0.000 0.000 0.100 0.492
#> 3182DEA1-4239-4613-925A-7E6503766AD6 3 0.3176 0.5847 0.000 0.156 0.812 0.000 0.032 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.3756 0.3504 0.000 0.352 0.644 0.000 0.004 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.3756 0.3504 0.000 0.352 0.644 0.000 0.004 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.3877 0.5749 0.000 0.076 0.764 0.000 0.160 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 6 0.5372 0.1418 0.404 0.000 0.000 0.000 0.112 0.484
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0146 0.8917 0.996 0.000 0.000 0.000 0.000 0.004
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.4342 0.4960 0.000 0.052 0.692 0.004 0.252 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 4 0.0000 0.7276 0.000 0.000 0.000 1.000 0.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.3547 0.3994 0.000 0.000 0.696 0.004 0.300 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 4 0.0000 0.7276 0.000 0.000 0.000 1.000 0.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 6 0.4818 0.4294 0.364 0.000 0.000 0.000 0.064 0.572
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0363 0.8853 0.988 0.000 0.000 0.000 0.000 0.012
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 3 0.3351 0.5091 0.000 0.288 0.712 0.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.1333 0.7696 0.000 0.944 0.048 0.000 0.008 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.3861 0.3544 0.000 0.352 0.640 0.000 0.008 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 3 0.3248 0.5817 0.000 0.164 0.804 0.000 0.032 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.3351 0.6371 0.000 0.712 0.288 0.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.2871 0.7338 0.000 0.804 0.192 0.000 0.004 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 6 0.3773 0.6515 0.204 0.000 0.000 0.000 0.044 0.752
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0713 0.7664 0.000 0.972 0.028 0.000 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 6 0.2941 0.6614 0.220 0.000 0.000 0.000 0.000 0.780
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 3 0.4592 0.0994 0.000 0.468 0.496 0.000 0.036 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.3435 0.5750 0.000 0.060 0.804 0.000 0.136 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 6 0.5372 0.1418 0.404 0.000 0.000 0.000 0.112 0.484
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 3 0.3547 0.4573 0.000 0.332 0.668 0.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 6 0.4755 0.3408 0.460 0.000 0.000 0.000 0.048 0.492
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 3 0.5086 0.2658 0.000 0.384 0.532 0.000 0.084 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.4500 0.2610 0.000 0.392 0.572 0.000 0.036 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 5 0.6503 0.0000 0.288 0.000 0.024 0.000 0.420 0.268
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0692 0.8587 0.976 0.000 0.000 0.000 0.004 0.020
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.2793 0.7241 0.000 0.800 0.200 0.000 0.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 3 0.6223 0.2148 0.000 0.320 0.420 0.000 0.252 0.008
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.2219 0.7637 0.000 0.864 0.136 0.000 0.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 4 0.5870 0.2203 0.000 0.000 0.328 0.460 0.212 0.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 3 0.4881 0.4238 0.000 0.336 0.588 0.000 0.076 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 6 0.3930 0.6042 0.144 0.000 0.000 0.000 0.092 0.764
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.2912 0.5005 0.000 0.000 0.784 0.000 0.216 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.1814 0.7729 0.000 0.900 0.100 0.000 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 3 0.3266 0.5241 0.000 0.272 0.728 0.000 0.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.3738 0.6141 0.000 0.704 0.280 0.000 0.016 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.2697 0.7136 0.000 0.812 0.188 0.000 0.000 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 3 0.3309 0.5162 0.000 0.280 0.720 0.000 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.4025 0.3810 0.000 0.576 0.416 0.000 0.008 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 3 0.4952 0.2196 0.000 0.408 0.524 0.000 0.068 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 6 0.3646 0.6342 0.172 0.000 0.000 0.000 0.052 0.776
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 3 0.3717 0.3533 0.000 0.384 0.616 0.000 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.1501 0.7711 0.000 0.924 0.076 0.000 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.3122 0.5893 0.804 0.000 0.000 0.000 0.020 0.176
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.3176 0.5847 0.000 0.156 0.812 0.000 0.032 0.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.1745 0.7661 0.000 0.924 0.056 0.000 0.020 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 6 0.3163 0.6641 0.232 0.000 0.000 0.000 0.004 0.764
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.3907 0.3111 0.000 0.588 0.408 0.000 0.004 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0632 0.7639 0.000 0.976 0.024 0.000 0.000 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.3668 0.5676 0.000 0.668 0.328 0.000 0.004 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.3619 0.5827 0.000 0.680 0.316 0.000 0.004 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.3861 0.3544 0.000 0.352 0.640 0.000 0.008 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.3620 0.5565 0.000 0.648 0.352 0.000 0.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 3 0.6221 0.2141 0.000 0.336 0.412 0.000 0.244 0.008
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.2996 0.6995 0.000 0.772 0.228 0.000 0.000 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.1007 0.7675 0.000 0.956 0.044 0.000 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.4466 0.2857 0.000 0.016 0.536 0.000 0.440 0.008
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 3 0.3741 0.4707 0.000 0.320 0.672 0.000 0.008 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.1556 0.7852 0.920 0.000 0.000 0.000 0.000 0.080
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 3 0.3499 0.4730 0.000 0.320 0.680 0.000 0.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 6 0.4408 0.5859 0.320 0.000 0.000 0.000 0.044 0.636
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.5644 0.0208 0.524 0.000 0.000 0.000 0.188 0.288
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.2912 0.5005 0.000 0.000 0.784 0.000 0.216 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.3183 0.6124 0.000 0.828 0.112 0.000 0.060 0.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.3601 0.5856 0.000 0.684 0.312 0.000 0.004 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.1075 0.8395 0.952 0.000 0.000 0.000 0.000 0.048
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 3 0.3266 0.5241 0.000 0.272 0.728 0.000 0.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.3584 0.3918 0.000 0.000 0.688 0.004 0.308 0.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 3 0.3266 0.5241 0.000 0.272 0.728 0.000 0.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.3619 0.3854 0.000 0.004 0.680 0.000 0.316 0.000
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.3371 0.6321 0.000 0.708 0.292 0.000 0.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 6 0.5260 0.4078 0.212 0.000 0.000 0.024 0.112 0.652
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.2912 0.5005 0.000 0.000 0.784 0.000 0.216 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 3 0.3717 0.3509 0.000 0.384 0.616 0.000 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 6 0.3930 0.6042 0.144 0.000 0.000 0.000 0.092 0.764
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.1686 0.7744 0.000 0.924 0.064 0.000 0.012 0.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.5032 0.5880 0.000 0.196 0.640 0.000 0.164 0.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 3 0.3647 0.4360 0.000 0.360 0.640 0.000 0.000 0.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.5126 0.5796 0.000 0.216 0.624 0.000 0.160 0.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.5196 0.5623 0.000 0.252 0.604 0.000 0.144 0.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.2912 0.5005 0.000 0.000 0.784 0.000 0.216 0.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.1918 0.7750 0.000 0.904 0.088 0.000 0.008 0.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 6 0.2964 0.6569 0.204 0.000 0.000 0.000 0.004 0.792
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0146 0.8918 0.996 0.000 0.000 0.000 0.000 0.004
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.2941 0.4967 0.000 0.000 0.780 0.000 0.220 0.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.2941 0.4967 0.000 0.000 0.780 0.000 0.220 0.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 6 0.5372 0.1418 0.404 0.000 0.000 0.000 0.112 0.484
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 3 0.3512 0.5286 0.000 0.272 0.720 0.000 0.008 0.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.2088 0.7522 0.000 0.904 0.068 0.000 0.028 0.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.3861 0.3544 0.000 0.352 0.640 0.000 0.008 0.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0260 0.8887 0.992 0.000 0.000 0.000 0.000 0.008
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.3717 0.4849 0.000 0.616 0.384 0.000 0.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 6 0.5368 0.1303 0.400 0.000 0.000 0.000 0.112 0.488
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.3176 0.5847 0.000 0.156 0.812 0.000 0.032 0.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.2219 0.7637 0.000 0.864 0.136 0.000 0.000 0.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0146 0.8917 0.996 0.000 0.000 0.000 0.000 0.004
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 2 0.1908 0.7548 0.000 0.916 0.056 0.000 0.028 0.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 3 0.3861 0.3544 0.000 0.352 0.640 0.000 0.008 0.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.2912 0.5005 0.000 0.000 0.784 0.000 0.216 0.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 6 0.3076 0.6636 0.240 0.000 0.000 0.000 0.000 0.760
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0891 0.8652 0.968 0.000 0.000 0.000 0.008 0.024
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 6 0.3076 0.6636 0.240 0.000 0.000 0.000 0.000 0.760
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.4403 0.3267 0.000 0.408 0.564 0.000 0.028 0.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.3081 0.5003 0.000 0.004 0.776 0.000 0.220 0.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.3835 0.5796 0.000 0.684 0.300 0.000 0.016 0.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.3489 0.6451 0.000 0.708 0.288 0.000 0.004 0.000
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#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.3652 0.5752 0.000 0.672 0.324 0.000 0.004 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.8937 1.000 0.000 0.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 3 0.3464 0.4837 0.000 0.312 0.688 0.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0632 0.7639 0.000 0.976 0.024 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "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 17288 rows and 266 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 1.000 1.000 1.000 0.4343 0.566 0.566
#> 3 3 0.717 0.921 0.897 0.4165 0.781 0.614
#> 4 4 0.660 0.563 0.789 0.1473 0.980 0.942
#> 5 5 0.617 0.464 0.648 0.0794 0.843 0.564
#> 6 6 0.660 0.534 0.670 0.0418 0.931 0.723
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0 1 0 1
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0 1 0 1
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#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0 1 0 1
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0 1 1 0
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#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0 1 1 0
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0 1 0 1
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0 1 0 1
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0 1 0 1
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0 1 1 0
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0 1 0 1
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0 1 1 0
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0 1 0 1
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0 1 1 0
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0 1 0 1
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0 1 0 1
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0 1 0 1
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0 1 0 1
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0 1 0 1
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0 1 0 1
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0 1 1 0
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0 1 1 0
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0 1 0 1
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0 1 1 0
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0 1 0 1
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0 1 1 0
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0 1 0 1
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0 1 0 1
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0 1 0 1
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0 1 1 0
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0 1 0 1
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0 1 0 1
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0 1 0 1
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0 1 0 1
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0 1 0 1
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0 1 0 1
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0 1 1 0
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0 1 1 0
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0 1 0 1
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0 1 0 1
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0 1 0 1
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0 1 0 1
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0 1 1 0
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0 1 0 1
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0 1 1 0
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0 1 1 0
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0 1 0 1
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0 1 0 1
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0 1 0 1
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0 1 1 0
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0 1 0 1
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0 1 0 1
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0 1 1 0
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0 1 0 1
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0 1 0 1
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0 1 1 0
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0 1 1 0
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0 1 0 1
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0 1 1 0
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0 1 0 1
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0 1 0 1
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0 1 0 1
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0 1 1 0
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0 1 0 1
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0 1 0 1
#> B3527517-E339-46AE-8437-65303C309015 2 0 1 0 1
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0 1 0 1
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0 1 0 1
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0 1 0 1
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0 1 0 1
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0 1 1 0
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0 1 0 1
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0 1 0 1
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0 1 0 1
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0 1 0 1
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0 1 1 0
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0 1 0 1
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0 1 0 1
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0 1 0 1
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0 1 0 1
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0 1 1 0
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0 1 0 1
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0 1 0 1
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0 1 1 0
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0 1 0 1
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0 1 1 0
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0 1 0 1
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0 1 1 0
#> CE91F591-6072-4D29-9495-C78961635969 2 0 1 0 1
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0 1 1 0
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0 1 1 0
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0 1 0 1
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0 1 0 1
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0 1 1 0
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0 1 0 1
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0 1 0 1
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.967 0.000 1.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.967 0.000 1.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.2878 0.936 0.904 0.000 0.096
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.2711 0.864 0.000 0.912 0.088
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.5785 0.849 0.000 0.332 0.668
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.5327 0.910 0.000 0.272 0.728
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.4750 0.946 0.000 0.216 0.784
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.2878 0.936 0.904 0.000 0.096
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.937 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.4796 0.948 0.000 0.220 0.780
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.5431 0.832 0.716 0.000 0.284
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.4750 0.945 0.000 0.216 0.784
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.4605 0.907 0.796 0.000 0.204
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0237 0.937 0.996 0.000 0.004
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.937 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.967 0.000 1.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0237 0.966 0.000 0.996 0.004
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.4796 0.948 0.000 0.220 0.780
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0592 0.963 0.000 0.988 0.012
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.967 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0237 0.966 0.000 0.996 0.004
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.4605 0.916 0.796 0.000 0.204
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0237 0.966 0.000 0.996 0.004
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.4605 0.916 0.796 0.000 0.204
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0592 0.959 0.000 0.988 0.012
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.4750 0.946 0.000 0.216 0.784
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.2959 0.935 0.900 0.000 0.100
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.967 0.000 1.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.2625 0.936 0.916 0.000 0.084
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0424 0.963 0.000 0.992 0.008
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.937 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.4750 0.946 0.000 0.216 0.784
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.3038 0.935 0.896 0.000 0.104
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.937 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.967 0.000 1.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.1163 0.950 0.000 0.972 0.028
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0892 0.951 0.000 0.980 0.020
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.4702 0.942 0.000 0.212 0.788
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.1860 0.916 0.000 0.948 0.052
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.4605 0.916 0.796 0.000 0.204
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.4796 0.948 0.000 0.220 0.780
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.937 1.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.967 0.000 1.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.967 0.000 1.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0237 0.966 0.000 0.996 0.004
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.5905 0.168 0.000 0.648 0.352
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.967 0.000 1.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.967 0.000 1.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.0424 0.963 0.000 0.992 0.008
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.4605 0.916 0.796 0.000 0.204
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.967 0.000 1.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.967 0.000 1.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.937 1.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.937 1.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.5678 0.867 0.000 0.316 0.684
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.0592 0.962 0.000 0.988 0.012
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.4555 0.917 0.800 0.000 0.200
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0237 0.966 0.000 0.996 0.004
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0592 0.962 0.000 0.988 0.012
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0237 0.966 0.000 0.996 0.004
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0237 0.966 0.000 0.996 0.004
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.4796 0.948 0.000 0.220 0.780
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.967 0.000 1.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 3 0.6168 0.691 0.000 0.412 0.588
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0424 0.962 0.000 0.992 0.008
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.967 0.000 1.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.4702 0.942 0.000 0.212 0.788
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.967 0.000 1.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.937 1.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.967 0.000 1.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.4452 0.920 0.808 0.000 0.192
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.3116 0.935 0.892 0.000 0.108
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.4796 0.948 0.000 0.220 0.780
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.5835 0.830 0.000 0.340 0.660
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.0237 0.966 0.000 0.996 0.004
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.937 1.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.967 0.000 1.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.4654 0.940 0.000 0.208 0.792
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.967 0.000 1.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.4750 0.946 0.000 0.216 0.784
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.967 0.000 1.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.4605 0.916 0.796 0.000 0.204
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.4796 0.948 0.000 0.220 0.780
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.967 0.000 1.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.4605 0.916 0.796 0.000 0.204
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.1163 0.947 0.000 0.972 0.028
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.4796 0.948 0.000 0.220 0.780
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.5363 0.442 0.000 0.724 0.276
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.4796 0.948 0.000 0.220 0.780
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.4796 0.948 0.000 0.220 0.780
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.4796 0.948 0.000 0.220 0.780
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.937 1.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.0592 0.962 0.000 0.988 0.012
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.4605 0.916 0.796 0.000 0.204
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.937 1.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.4796 0.948 0.000 0.220 0.780
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.4796 0.948 0.000 0.220 0.780
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.2959 0.935 0.900 0.000 0.100
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.0000 0.967 0.000 1.000 0.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.937 1.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 3 0.5016 0.933 0.000 0.240 0.760
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.4796 0.948 0.000 0.220 0.780
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.937 1.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.967 0.000 1.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.2959 0.935 0.900 0.000 0.100
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.4750 0.945 0.000 0.216 0.784
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.2448 0.879 0.000 0.924 0.076
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.937 1.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 3 0.4931 0.939 0.000 0.232 0.768
#> E769E41D-5949-42C5-9594-E563C05ACE52 3 0.5810 0.844 0.000 0.336 0.664
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.4750 0.946 0.000 0.216 0.784
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.4555 0.917 0.800 0.000 0.200
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.937 1.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.4555 0.917 0.800 0.000 0.200
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.4796 0.948 0.000 0.220 0.780
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.4796 0.948 0.000 0.220 0.780
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.0237 0.966 0.000 0.996 0.004
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.4002 0.734 0.000 0.840 0.160
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.967 0.000 1.000 0.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.4796 0.948 0.000 0.220 0.780
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.0237 0.966 0.000 0.996 0.004
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.4796 0.948 0.000 0.220 0.780
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 3 0.5785 0.849 0.000 0.332 0.668
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.967 0.000 1.000 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.0237 0.966 0.000 0.996 0.004
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0000 0.967 0.000 1.000 0.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0237 0.966 0.000 0.996 0.004
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.4796 0.948 0.000 0.220 0.780
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.1860 0.935 0.948 0.000 0.052
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.6267 -0.300 0.000 0.548 0.452
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.4796 0.948 0.000 0.220 0.780
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.937 1.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.0747 0.959 0.000 0.984 0.016
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.0237 0.964 0.000 0.996 0.004
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.4605 0.916 0.796 0.000 0.204
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.0424 0.962 0.000 0.992 0.008
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.967 0.000 1.000 0.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.937 1.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0000 0.967 0.000 1.000 0.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.4605 0.916 0.796 0.000 0.204
#> E0961A30-A62C-4235-9CF0-A1776827A996 3 0.6180 0.695 0.000 0.416 0.584
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.1163 0.950 0.000 0.972 0.028
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 3 0.6204 0.661 0.000 0.424 0.576
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.0747 0.959 0.000 0.984 0.016
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.937 1.000 0.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.4452 0.920 0.808 0.000 0.192
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.0592 0.962 0.000 0.988 0.012
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.967 0.000 1.000 0.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.4796 0.948 0.000 0.220 0.780
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.967 0.000 1.000 0.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.4654 0.940 0.000 0.208 0.792
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.4555 0.917 0.800 0.000 0.200
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.967 0.000 1.000 0.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.937 1.000 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.937 1.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.0000 0.967 0.000 1.000 0.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.4605 0.916 0.796 0.000 0.204
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 3 0.5760 0.854 0.000 0.328 0.672
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.0237 0.966 0.000 0.996 0.004
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0000 0.967 0.000 1.000 0.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.5291 0.472 0.000 0.732 0.268
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.937 1.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.4555 0.917 0.800 0.000 0.200
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 3 0.5733 0.855 0.000 0.324 0.676
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.4796 0.948 0.000 0.220 0.780
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.4062 0.926 0.836 0.000 0.164
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.937 1.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.937 1.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0000 0.967 0.000 1.000 0.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 3 0.5621 0.858 0.000 0.308 0.692
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.3192 0.935 0.888 0.000 0.112
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.0424 0.964 0.000 0.992 0.008
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.967 0.000 1.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 3 0.4750 0.946 0.000 0.216 0.784
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.937 1.000 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.937 1.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.967 0.000 1.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.967 0.000 1.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.4750 0.946 0.000 0.216 0.784
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.4605 0.916 0.796 0.000 0.204
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 3 0.5785 0.849 0.000 0.332 0.668
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.937 1.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.0424 0.962 0.000 0.992 0.008
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.2796 0.936 0.908 0.000 0.092
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.4796 0.948 0.000 0.220 0.780
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0000 0.967 0.000 1.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.4796 0.948 0.000 0.220 0.780
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.5760 0.854 0.000 0.328 0.672
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.967 0.000 1.000 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.967 0.000 1.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.4555 0.917 0.800 0.000 0.200
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.937 1.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.967 0.000 1.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.4605 0.916 0.796 0.000 0.204
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0237 0.966 0.000 0.996 0.004
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.4605 0.916 0.796 0.000 0.204
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0237 0.966 0.000 0.996 0.004
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.4796 0.948 0.000 0.220 0.780
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.4750 0.946 0.000 0.216 0.784
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.4452 0.920 0.808 0.000 0.192
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.4605 0.640 0.000 0.796 0.204
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.967 0.000 1.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.967 0.000 1.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.967 0.000 1.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.4796 0.948 0.000 0.220 0.780
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.5948 0.807 0.000 0.360 0.640
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.3686 0.930 0.860 0.000 0.140
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.937 1.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.3267 0.821 0.000 0.884 0.116
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.967 0.000 1.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.4796 0.948 0.000 0.220 0.780
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 3 0.6274 0.586 0.000 0.456 0.544
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.4121 0.923 0.832 0.000 0.168
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0237 0.964 0.000 0.996 0.004
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.2066 0.936 0.940 0.000 0.060
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.937 1.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.0892 0.955 0.000 0.980 0.020
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0237 0.966 0.000 0.996 0.004
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.967 0.000 1.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.937 1.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.5621 0.873 0.000 0.308 0.692
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 3 0.6095 0.751 0.000 0.392 0.608
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.2878 0.936 0.904 0.000 0.096
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.967 0.000 1.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.967 0.000 1.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.937 1.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.4605 0.916 0.796 0.000 0.204
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.4796 0.948 0.000 0.220 0.780
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.2537 0.937 0.920 0.000 0.080
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0592 0.962 0.000 0.988 0.012
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.4750 0.945 0.000 0.216 0.784
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0747 0.959 0.000 0.984 0.016
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.4605 0.916 0.796 0.000 0.204
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.967 0.000 1.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0592 0.962 0.000 0.988 0.012
#> B3527517-E339-46AE-8437-65303C309015 3 0.4931 0.939 0.000 0.232 0.768
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.967 0.000 1.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.5810 0.206 0.000 0.664 0.336
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.4702 0.944 0.000 0.212 0.788
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.967 0.000 1.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.937 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0237 0.964 0.000 0.996 0.004
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0237 0.966 0.000 0.996 0.004
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.4750 0.946 0.000 0.216 0.784
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.4750 0.946 0.000 0.216 0.784
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.4605 0.916 0.796 0.000 0.204
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.4750 0.946 0.000 0.216 0.784
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0424 0.964 0.000 0.992 0.008
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.967 0.000 1.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0237 0.966 0.000 0.996 0.004
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.937 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0592 0.962 0.000 0.988 0.012
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.967 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.937 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0892 0.958 0.000 0.980 0.020
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.4555 0.917 0.800 0.000 0.200
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.967 0.000 1.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.2878 0.936 0.904 0.000 0.096
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.967 0.000 1.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.937 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.937 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.967 0.000 1.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0237 0.966 0.000 0.996 0.004
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.937 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.967 0.000 1.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.967 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.1211 0.8331 0.000 0.960 0.000 0.040
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.1109 0.8365 0.000 0.968 0.028 0.004
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.4542 0.8378 0.752 0.000 0.020 0.228
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.5470 0.7285 0.000 0.732 0.168 0.100
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.4238 0.1977 0.000 0.176 0.796 0.028
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.4364 0.1747 0.000 0.136 0.808 0.056
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.3081 0.1459 0.000 0.048 0.888 0.064
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.4436 0.8371 0.764 0.000 0.020 0.216
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.4888 0.8412 0.588 0.000 0.000 0.412
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.6052 -0.2221 0.000 0.048 0.556 0.396
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.5577 0.4516 0.636 0.000 0.036 0.328
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.6038 -0.2835 0.000 0.044 0.532 0.424
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.4964 0.6186 0.724 0.000 0.032 0.244
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.5428 0.8428 0.600 0.000 0.020 0.380
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#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.5387 -0.0877 0.000 0.048 0.696 0.256
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0336 0.7869 0.992 0.000 0.008 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 3 0.5170 0.1411 0.000 0.228 0.724 0.048
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.4888 0.8412 0.588 0.000 0.000 0.412
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.5078 0.6921 0.000 0.700 0.272 0.028
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.4238 0.8337 0.796 0.000 0.028 0.176
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.6087 -0.2286 0.000 0.048 0.540 0.412
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.1109 0.8365 0.000 0.968 0.028 0.004
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.4633 0.0769 0.000 0.048 0.780 0.172
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.3658 0.2075 0.000 0.144 0.836 0.020
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.1209 0.8360 0.000 0.964 0.032 0.004
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0921 0.8355 0.000 0.972 0.000 0.028
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.7868 1.000 0.000 0.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.4888 0.8412 0.588 0.000 0.000 0.412
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0921 0.8355 0.000 0.972 0.000 0.028
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0336 0.7869 0.992 0.000 0.008 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.4322 0.7781 0.000 0.804 0.152 0.044
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0336 0.7869 0.992 0.000 0.008 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.3831 0.7744 0.000 0.792 0.204 0.004
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.6087 -0.2286 0.000 0.048 0.540 0.412
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.6070 -0.2345 0.000 0.048 0.548 0.404
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.1406 0.7960 0.960 0.000 0.016 0.024
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.5626 0.4957 0.000 0.588 0.384 0.028
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0921 0.8355 0.000 0.972 0.000 0.028
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.2214 0.8298 0.000 0.928 0.044 0.028
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0921 0.8355 0.000 0.972 0.000 0.028
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.6087 -0.2286 0.000 0.048 0.540 0.412
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.4323 0.1836 0.000 0.204 0.776 0.020
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.3161 0.8240 0.864 0.000 0.012 0.124
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.4888 0.8412 0.588 0.000 0.000 0.412
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.5861 -0.4403 0.000 0.480 0.488 0.032
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.1211 0.8331 0.000 0.960 0.000 0.040
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.4633 0.0769 0.000 0.048 0.780 0.172
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 3 0.7698 -0.1142 0.000 0.356 0.420 0.224
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.3047 0.7915 0.872 0.000 0.012 0.116
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.2654 0.8000 0.000 0.888 0.004 0.108
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.4539 0.8407 0.720 0.000 0.008 0.272
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.4888 0.8412 0.588 0.000 0.000 0.412
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.5560 0.7272 0.000 0.728 0.116 0.156
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.2647 0.8134 0.000 0.880 0.120 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.1211 0.8331 0.000 0.960 0.000 0.040
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.5376 0.8410 0.588 0.000 0.016 0.396
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.2216 0.2048 0.000 0.092 0.908 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 3 0.6375 0.0813 0.000 0.312 0.600 0.088
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.4737 0.8369 0.728 0.000 0.020 0.252
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.1109 0.8365 0.000 0.968 0.028 0.004
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0921 0.8355 0.000 0.972 0.000 0.028
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.5376 0.8410 0.588 0.000 0.016 0.396
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.7868 1.000 0.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.6087 -0.2286 0.000 0.048 0.540 0.412
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.4323 0.8348 0.788 0.000 0.028 0.184
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.5250 0.6659 0.000 0.660 0.316 0.024
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.6081 -0.6240 0.000 0.044 0.484 0.472
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.5847 0.5801 0.000 0.560 0.404 0.036
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0336 0.7869 0.992 0.000 0.008 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.1109 0.8365 0.000 0.968 0.028 0.004
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.5778 0.6262 0.000 0.604 0.356 0.040
#> B3527517-E339-46AE-8437-65303C309015 3 0.2142 0.1917 0.000 0.056 0.928 0.016
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.1109 0.8365 0.000 0.968 0.028 0.004
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.7407 0.3314 0.000 0.508 0.288 0.204
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.3818 0.1270 0.000 0.048 0.844 0.108
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0921 0.8355 0.000 0.972 0.000 0.028
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.4888 0.8412 0.588 0.000 0.000 0.412
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.2831 0.7920 0.000 0.876 0.004 0.120
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.2149 0.8260 0.000 0.912 0.088 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.6009 -0.2207 0.000 0.048 0.572 0.380
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.6087 -0.2286 0.000 0.048 0.540 0.412
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0336 0.7869 0.992 0.000 0.008 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.5235 -0.0554 0.000 0.048 0.716 0.236
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.5343 0.6992 0.000 0.708 0.240 0.052
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.1211 0.8331 0.000 0.960 0.000 0.040
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.4671 0.7397 0.000 0.752 0.220 0.028
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.5376 0.8410 0.588 0.000 0.016 0.396
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.5442 0.6505 0.000 0.636 0.336 0.028
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0817 0.8372 0.000 0.976 0.024 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.4888 0.8412 0.588 0.000 0.000 0.412
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.5888 0.5565 0.000 0.540 0.424 0.036
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.7868 1.000 0.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.1109 0.8365 0.000 0.968 0.028 0.004
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.4436 0.8371 0.764 0.000 0.020 0.216
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0921 0.8355 0.000 0.972 0.000 0.028
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.5376 0.8410 0.588 0.000 0.016 0.396
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.4888 0.8412 0.588 0.000 0.000 0.412
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.1109 0.8365 0.000 0.968 0.028 0.004
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.2124 0.8315 0.000 0.932 0.040 0.028
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.5050 0.8411 0.588 0.000 0.004 0.408
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0921 0.8355 0.000 0.972 0.000 0.028
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.1209 0.8360 0.000 0.964 0.032 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.2424 0.7335 0.000 0.868 0.000 0.000 0.132
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.2439 0.6811 0.000 0.876 0.000 0.120 0.004
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.5080 0.0353 0.628 0.000 0.000 0.056 0.316
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.6975 0.2271 0.000 0.512 0.032 0.260 0.196
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 4 0.7092 0.3490 0.000 0.112 0.308 0.508 0.072
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 4 0.7022 0.2668 0.000 0.096 0.340 0.492 0.072
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.6347 0.1165 0.000 0.008 0.364 0.496 0.132
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.5068 0.0938 0.640 0.000 0.000 0.060 0.300
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 5 0.4448 0.6863 0.480 0.000 0.000 0.004 0.516
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.1503 0.8132 0.000 0.008 0.952 0.020 0.020
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.7002 0.1950 0.504 0.000 0.328 0.088 0.080
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0854 0.8219 0.000 0.008 0.976 0.004 0.012
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.6784 0.2459 0.564 0.000 0.268 0.088 0.080
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.5389 -0.5494 0.508 0.000 0.000 0.056 0.436
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 5 0.4448 0.6863 0.480 0.000 0.000 0.004 0.516
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.2929 0.7220 0.000 0.840 0.000 0.008 0.152
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.4907 0.1912 0.000 0.484 0.000 0.492 0.024
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.5813 0.2659 0.000 0.008 0.516 0.404 0.072
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.5006 0.4920 0.000 0.328 0.000 0.624 0.048
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0566 0.7248 0.000 0.984 0.000 0.012 0.004
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.2179 0.6945 0.000 0.896 0.000 0.100 0.004
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0955 0.5572 0.968 0.000 0.004 0.028 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.2806 0.6546 0.000 0.844 0.000 0.152 0.004
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.5597 1.000 0.000 0.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.5479 0.4388 0.000 0.372 0.004 0.564 0.060
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.4372 0.7164 0.000 0.008 0.780 0.128 0.084
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.5104 0.1014 0.632 0.000 0.000 0.060 0.308
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.2329 0.7350 0.000 0.876 0.000 0.000 0.124
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.5003 0.2444 0.692 0.000 0.004 0.072 0.232
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.6170 0.4062 0.000 0.524 0.000 0.156 0.320
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.5440 -0.6068 0.480 0.000 0.004 0.048 0.468
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 4 0.6288 0.1568 0.000 0.008 0.352 0.512 0.128
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.5658 0.0933 0.512 0.000 0.000 0.080 0.408
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 5 0.4448 0.6863 0.480 0.000 0.000 0.004 0.516
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.4738 -0.1986 0.000 0.520 0.000 0.464 0.016
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.6955 0.4076 0.000 0.236 0.024 0.500 0.240
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 4 0.5356 0.2579 0.000 0.448 0.008 0.508 0.036
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.4814 0.6682 0.000 0.020 0.752 0.076 0.152
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.7539 0.1988 0.000 0.460 0.068 0.192 0.280
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0955 0.5572 0.968 0.000 0.004 0.028 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0290 0.8260 0.000 0.008 0.992 0.000 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 5 0.4302 0.6824 0.480 0.000 0.000 0.000 0.520
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.2179 0.6942 0.000 0.896 0.000 0.100 0.004
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.2763 0.7262 0.000 0.848 0.000 0.004 0.148
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.5654 0.1943 0.000 0.536 0.000 0.380 0.084
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.4644 0.5857 0.000 0.092 0.116 0.772 0.020
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.2929 0.7220 0.000 0.840 0.000 0.008 0.152
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.1965 0.7358 0.000 0.904 0.000 0.000 0.096
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.6100 0.4373 0.000 0.540 0.000 0.152 0.308
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.5597 1.000 0.000 0.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.2424 0.7335 0.000 0.868 0.000 0.000 0.132
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.2179 0.6938 0.000 0.896 0.000 0.100 0.004
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 5 0.4747 0.6509 0.488 0.000 0.000 0.016 0.496
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 5 0.4448 0.6863 0.480 0.000 0.000 0.004 0.516
#> C1113977-B160-45EE-B061-750F9EA3F33F 4 0.7503 0.3217 0.000 0.092 0.292 0.476 0.140
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 4 0.5512 0.4876 0.000 0.276 0.000 0.620 0.104
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0162 0.5596 0.996 0.000 0.000 0.004 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.5464 0.5608 0.000 0.648 0.000 0.128 0.224
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 4 0.4565 0.4076 0.000 0.408 0.000 0.580 0.012
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.3496 0.6151 0.000 0.788 0.000 0.200 0.012
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.4325 0.5524 0.000 0.736 0.000 0.220 0.044
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.5845 0.1879 0.000 0.008 0.488 0.432 0.072
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.2233 0.6916 0.000 0.892 0.000 0.104 0.004
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 4 0.7724 0.4212 0.000 0.140 0.136 0.480 0.244
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.4740 -0.2079 0.000 0.516 0.000 0.468 0.016
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.2338 0.6875 0.000 0.884 0.000 0.112 0.004
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.7735 0.2852 0.000 0.104 0.440 0.152 0.304
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#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.5652 0.1151 0.564 0.000 0.000 0.092 0.344
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.2329 0.6824 0.000 0.876 0.000 0.124 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0566 0.7248 0.000 0.984 0.000 0.012 0.004
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.5440 -0.6068 0.480 0.000 0.004 0.048 0.468
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.5597 1.000 0.000 0.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0290 0.8260 0.000 0.008 0.992 0.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.4850 0.2582 0.700 0.000 0.000 0.076 0.224
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 4 0.4610 0.3879 0.000 0.432 0.000 0.556 0.012
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.5933 0.5714 0.000 0.020 0.644 0.136 0.200
#> CAE8097F-A139-4C6E-9E30-35080475FF34 4 0.5238 0.5140 0.000 0.260 0.000 0.652 0.088
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0771 0.5579 0.976 0.000 0.004 0.020 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.2338 0.6868 0.000 0.884 0.000 0.112 0.004
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 4 0.4779 0.4804 0.000 0.340 0.000 0.628 0.032
#> B3527517-E339-46AE-8437-65303C309015 4 0.6175 0.2370 0.000 0.008 0.324 0.544 0.124
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.2338 0.6868 0.000 0.884 0.000 0.112 0.004
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.8396 -0.1379 0.000 0.344 0.160 0.260 0.236
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.6647 0.2189 0.000 0.016 0.332 0.496 0.156
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.1012 0.7277 0.000 0.968 0.000 0.012 0.020
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 5 0.4448 0.6863 0.480 0.000 0.000 0.004 0.516
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.4905 0.5982 0.000 0.688 0.012 0.040 0.260
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.3086 0.6400 0.000 0.816 0.000 0.180 0.004
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.3924 0.7449 0.000 0.008 0.816 0.096 0.080
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0290 0.8260 0.000 0.008 0.992 0.000 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0771 0.5579 0.976 0.000 0.004 0.020 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.6010 0.3152 0.000 0.008 0.532 0.364 0.096
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 4 0.5721 0.2868 0.000 0.424 0.000 0.492 0.084
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.2424 0.7335 0.000 0.868 0.000 0.000 0.132
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.4387 0.2532 0.000 0.640 0.000 0.348 0.012
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.5382 -0.6150 0.480 0.000 0.004 0.044 0.472
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 4 0.4546 0.3172 0.000 0.460 0.000 0.532 0.008
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.2233 0.6916 0.000 0.892 0.000 0.104 0.004
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 5 0.4448 0.6863 0.480 0.000 0.000 0.004 0.516
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 4 0.5064 0.5386 0.000 0.232 0.000 0.680 0.088
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.5597 1.000 0.000 0.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.2338 0.6868 0.000 0.884 0.000 0.112 0.004
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.5027 0.0840 0.640 0.000 0.000 0.056 0.304
#> CE91F591-6072-4D29-9495-C78961635969 2 0.2377 0.7344 0.000 0.872 0.000 0.000 0.128
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.5440 -0.6068 0.480 0.000 0.004 0.048 0.468
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 5 0.4448 0.6863 0.480 0.000 0.000 0.004 0.516
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.2338 0.6868 0.000 0.884 0.000 0.112 0.004
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.3578 0.7135 0.000 0.820 0.000 0.048 0.132
#> 735D1DE3-D781-4F89-A395-09974057BBB7 5 0.4891 0.6504 0.480 0.000 0.004 0.016 0.500
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.2329 0.7350 0.000 0.876 0.000 0.000 0.124
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.2583 0.6708 0.000 0.864 0.000 0.132 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0692 0.6383 0.000 0.976 0.000 0.004 0.000 0.020
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.4348 0.5997 0.000 0.688 0.000 0.064 0.248 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.5464 -0.0503 0.576 0.000 0.000 0.004 0.152 0.268
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.7419 -0.2405 0.000 0.440 0.020 0.276 0.128 0.136
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 4 0.5757 0.4850 0.000 0.072 0.188 0.648 0.008 0.084
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 4 0.5658 0.4790 0.000 0.064 0.204 0.644 0.004 0.084
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.7281 0.3444 0.000 0.016 0.212 0.480 0.172 0.120
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.5409 0.1117 0.596 0.000 0.000 0.004 0.168 0.232
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 6 0.5479 0.9066 0.396 0.000 0.000 0.036 0.052 0.516
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.2407 0.8421 0.000 0.016 0.904 0.024 0.008 0.048
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.6937 0.3527 0.504 0.000 0.232 0.008 0.156 0.100
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.1317 0.8644 0.000 0.008 0.956 0.004 0.016 0.016
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.6735 0.3884 0.544 0.000 0.192 0.008 0.156 0.100
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 6 0.4815 0.8040 0.444 0.000 0.004 0.008 0.028 0.516
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 6 0.5479 0.9066 0.396 0.000 0.000 0.036 0.052 0.516
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.1679 0.6125 0.000 0.936 0.000 0.008 0.028 0.028
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.5999 0.1056 0.000 0.244 0.000 0.476 0.276 0.004
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 4 0.5609 0.2641 0.000 0.020 0.344 0.548 0.004 0.084
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.6270 0.3530 0.000 0.112 0.000 0.580 0.200 0.108
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.2613 0.6414 0.000 0.848 0.000 0.012 0.140 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.4247 0.6063 0.000 0.700 0.000 0.060 0.240 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.1408 0.7067 0.944 0.000 0.000 0.036 0.020 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.5083 0.5163 0.000 0.604 0.000 0.116 0.280 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0291 0.7120 0.992 0.000 0.000 0.004 0.004 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.5384 0.4090 0.000 0.172 0.000 0.656 0.140 0.032
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.5139 0.6576 0.000 0.016 0.700 0.164 0.020 0.100
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.5409 0.1353 0.596 0.000 0.000 0.004 0.168 0.232
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0146 0.6474 0.000 0.996 0.000 0.000 0.004 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.4873 0.0476 0.628 0.000 0.000 0.040 0.024 0.308
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.6922 -0.2928 0.000 0.448 0.008 0.104 0.332 0.108
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 6 0.4577 0.8946 0.396 0.000 0.004 0.004 0.024 0.572
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 4 0.7138 0.3617 0.000 0.016 0.184 0.508 0.172 0.120
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.6043 0.1585 0.412 0.000 0.000 0.000 0.320 0.268
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 6 0.5479 0.9066 0.396 0.000 0.000 0.036 0.052 0.516
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 4 0.5522 0.2831 0.000 0.288 0.000 0.544 0.168 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 5 0.7169 0.2056 0.000 0.144 0.008 0.296 0.440 0.112
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 4 0.4368 0.3747 0.000 0.296 0.000 0.656 0.048 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.5582 0.5124 0.000 0.016 0.616 0.008 0.240 0.120
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.7668 -0.2891 0.000 0.424 0.028 0.184 0.244 0.120
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.1408 0.7067 0.944 0.000 0.000 0.036 0.020 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0458 0.8782 0.000 0.016 0.984 0.000 0.000 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 6 0.5247 0.9097 0.396 0.000 0.000 0.028 0.044 0.532
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.4215 0.6066 0.000 0.700 0.000 0.056 0.244 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.1599 0.6156 0.000 0.940 0.000 0.008 0.024 0.028
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 5 0.6688 0.1667 0.000 0.340 0.000 0.244 0.380 0.036
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.4412 0.4797 0.000 0.052 0.044 0.784 0.100 0.020
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.1426 0.6217 0.000 0.948 0.000 0.008 0.016 0.028
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0777 0.6503 0.000 0.972 0.000 0.004 0.024 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.6570 -0.2563 0.000 0.476 0.008 0.104 0.344 0.068
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0291 0.7120 0.992 0.000 0.000 0.004 0.004 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0405 0.6431 0.000 0.988 0.000 0.004 0.000 0.008
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.4271 0.6046 0.000 0.696 0.000 0.060 0.244 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 6 0.5605 0.9003 0.404 0.000 0.000 0.048 0.048 0.500
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 6 0.5479 0.9066 0.396 0.000 0.000 0.036 0.052 0.516
#> C1113977-B160-45EE-B061-750F9EA3F33F 4 0.7833 0.2135 0.000 0.112 0.112 0.484 0.144 0.148
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 4 0.6055 0.2227 0.000 0.128 0.000 0.524 0.312 0.036
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.7127 1.000 0.000 0.000 0.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.5240 0.2512 0.000 0.688 0.000 0.100 0.156 0.056
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 4 0.4892 0.4085 0.000 0.176 0.000 0.660 0.164 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.5200 0.4765 0.000 0.604 0.000 0.116 0.276 0.004
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.5415 0.3813 0.000 0.564 0.000 0.128 0.304 0.004
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 4 0.5539 0.3172 0.000 0.020 0.320 0.572 0.004 0.084
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.4122 0.6136 0.000 0.724 0.000 0.064 0.212 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 5 0.7704 0.1742 0.000 0.088 0.072 0.292 0.428 0.120
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 4 0.5273 0.3296 0.000 0.284 0.000 0.580 0.136 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.4325 0.6021 0.000 0.692 0.000 0.064 0.244 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 5 0.8702 0.2853 0.000 0.212 0.236 0.124 0.292 0.136
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0692 0.6383 0.000 0.976 0.000 0.004 0.000 0.020
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 6 0.4577 0.8944 0.396 0.000 0.004 0.004 0.024 0.572
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.1679 0.6125 0.000 0.936 0.000 0.008 0.028 0.028
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.1232 0.7091 0.956 0.000 0.000 0.016 0.024 0.004
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.4900 0.1114 0.636 0.000 0.000 0.036 0.032 0.296
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.0458 0.8782 0.000 0.016 0.984 0.000 0.000 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 4 0.6647 0.2769 0.000 0.016 0.072 0.524 0.280 0.108
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.5777 0.2542 0.000 0.500 0.000 0.148 0.344 0.008
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 6 0.4779 0.8995 0.396 0.000 0.004 0.016 0.020 0.564
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.1679 0.6125 0.000 0.936 0.000 0.008 0.028 0.028
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.0862 0.8656 0.000 0.008 0.972 0.000 0.016 0.004
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.1426 0.6217 0.000 0.948 0.000 0.008 0.016 0.028
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.1514 0.8599 0.000 0.016 0.948 0.004 0.016 0.016
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.4271 0.6044 0.000 0.696 0.000 0.060 0.244 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.4107 0.5903 0.772 0.000 0.004 0.008 0.132 0.084
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.0458 0.8782 0.000 0.016 0.984 0.000 0.000 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.6465 0.000 1.000 0.000 0.000 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.1408 0.7067 0.944 0.000 0.000 0.036 0.020 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 4 0.5404 0.3933 0.000 0.096 0.004 0.668 0.188 0.044
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.4730 0.5995 0.000 0.020 0.696 0.236 0.016 0.032
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 4 0.4874 0.4882 0.000 0.160 0.036 0.732 0.020 0.052
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.5591 0.5285 0.000 0.024 0.632 0.256 0.036 0.052
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.0458 0.8782 0.000 0.016 0.984 0.000 0.000 0.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.0458 0.8782 0.000 0.016 0.984 0.000 0.000 0.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 6 0.4473 0.9043 0.396 0.000 0.000 0.008 0.020 0.576
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 4 0.5118 0.4157 0.000 0.132 0.000 0.684 0.156 0.028
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0653 0.7123 0.980 0.000 0.000 0.012 0.004 0.004
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 6 0.4473 0.9095 0.396 0.000 0.000 0.008 0.020 0.576
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.0458 0.8782 0.000 0.016 0.984 0.000 0.000 0.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.0458 0.8782 0.000 0.016 0.984 0.000 0.000 0.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.5506 0.0592 0.556 0.000 0.000 0.000 0.180 0.264
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.3351 0.5027 0.000 0.840 0.000 0.028 0.084 0.048
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 6 0.4679 0.8914 0.396 0.000 0.004 0.008 0.024 0.568
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#> FF00E80A-046D-4233-835E-CDF93403EA43 4 0.6232 0.0628 0.000 0.016 0.408 0.448 0.024 0.104
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 4 0.6814 0.2818 0.000 0.216 0.000 0.508 0.148 0.128
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0291 0.6445 0.000 0.992 0.000 0.004 0.000 0.004
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.6047 0.1564 0.000 0.412 0.000 0.316 0.272 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 6 0.4444 0.8967 0.396 0.000 0.004 0.000 0.024 0.576
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 4 0.5618 0.2720 0.000 0.196 0.000 0.536 0.268 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.4271 0.6044 0.000 0.696 0.000 0.060 0.244 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 6 0.5479 0.9066 0.396 0.000 0.000 0.036 0.052 0.516
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 4 0.5753 0.2693 0.000 0.088 0.000 0.560 0.312 0.040
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.7127 1.000 0.000 0.000 0.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.4377 0.5997 0.000 0.688 0.000 0.068 0.244 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.5373 0.0589 0.596 0.000 0.000 0.004 0.152 0.248
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0260 0.6478 0.000 0.992 0.000 0.000 0.008 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 6 0.4444 0.8967 0.396 0.000 0.004 0.000 0.024 0.576
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 6 0.5479 0.9066 0.396 0.000 0.000 0.036 0.052 0.516
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.4377 0.5997 0.000 0.688 0.000 0.068 0.244 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.1151 0.6260 0.000 0.956 0.000 0.032 0.012 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 6 0.5069 0.9139 0.396 0.000 0.000 0.028 0.032 0.544
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0146 0.6474 0.000 0.996 0.000 0.000 0.004 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.4641 0.5805 0.000 0.664 0.000 0.088 0.248 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", "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 17288 rows and 266 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 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 0.997 0.999 0.4490 0.551 0.551
#> 3 3 1.000 0.974 0.989 0.4456 0.784 0.614
#> 4 4 0.779 0.735 0.856 0.1184 0.898 0.720
#> 5 5 0.783 0.647 0.811 0.0543 0.918 0.727
#> 6 6 0.767 0.615 0.773 0.0442 0.899 0.646
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.000 1.000 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.000 1.000 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.000 0.996 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.000 1.000 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.000 1.000 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.000 1.000 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.000 1.000 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.000 0.996 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.000 0.996 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.000 1.000 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.000 0.996 1.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.000 1.000 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.000 0.996 1.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.000 0.996 1.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.000 0.996 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.000 1.000 0.000 1.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.000 1.000 0.000 1.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.000 1.000 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.000 1.000 0.000 1.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.000 1.000 0.000 1.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.000 1.000 0.000 1.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.000 0.996 1.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.000 1.000 0.000 1.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.000 0.996 1.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.000 1.000 0.000 1.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.000 1.000 0.000 1.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.000 0.996 1.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.000 1.000 0.000 1.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.000 0.996 1.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.000 1.000 0.000 1.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.000 0.996 1.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.000 1.000 0.000 1.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.000 0.996 1.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.000 0.996 1.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.000 1.000 0.000 1.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.000 1.000 0.000 1.000
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#> B9455A9A-136D-4DC2-9F86-0FC74433589D 1 0.416 0.907 0.916 0.084
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.000 1.000 0.000 1.000
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#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.000 0.996 1.000 0.000
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#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.000 1.000 0.000 1.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.000 0.996 1.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.000 1.000 0.000 1.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.000 1.000 0.000 1.000
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#> CF629C65-585D-476D-B081-3E6E0575FAE3 1 0.000 0.996 1.000 0.000
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#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.000 1.000 0.000 1.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.000 1.000 0.000 1.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.000 1.000 0.000 1.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.000 1.000 0.000 1.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.000 1.000 0.000 1.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.000 1.000 0.000 1.000
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 2 0.000 1.000 0.000 1.000
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.000 1.000 0.000 1.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.000 1.000 0.000 1.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.000 1.000 0.000 1.000
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.000 1.000 0.000 1.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.000 1.000 0.000 1.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0.000 1.000 0.000 1.000
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.000 0.996 1.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.000 1.000 0.000 1.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 2 0.000 1.000 0.000 1.000
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.000 0.996 1.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.000 1.000 0.000 1.000
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.000 1.000 0.000 1.000
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.000 0.996 1.000 0.000
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.000 1.000 0.000 1.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.000 1.000 0.000 1.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.000 0.996 1.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.000 1.000 0.000 1.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.000 0.996 1.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.000 1.000 0.000 1.000
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.000 1.000 0.000 1.000
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 1 0.876 0.581 0.704 0.296
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.000 1.000 0.000 1.000
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.000 0.996 1.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.000 0.996 1.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.000 1.000 0.000 1.000
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.000 1.000 0.000 1.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0.000 1.000 0.000 1.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.000 1.000 0.000 1.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 1 0.000 0.996 1.000 0.000
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.000 0.996 1.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.000 1.000 0.000 1.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.000 0.996 1.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.000 0.996 1.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.000 1.000 0.000 1.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.000 0.996 1.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.000 1.000 0.000 1.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.000 1.000 0.000 1.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.000 1.000 0.000 1.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.000 1.000 0.000 1.000
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.000 0.996 1.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.000 0.996 1.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.000 1.000 0.000 1.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0.000 1.000 0.000 1.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.000 0.996 1.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.000 0.996 1.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.000 0.996 1.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.000 1.000 0.000 1.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 1 0.000 0.996 1.000 0.000
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.000 0.996 1.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.000 1.000 0.000 1.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.000 1.000 0.000 1.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0.000 1.000 0.000 1.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.000 0.996 1.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.000 0.996 1.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.000 1.000 0.000 1.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.000 1.000 0.000 1.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.000 1.000 0.000 1.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.000 0.996 1.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.000 1.000 0.000 1.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.000 0.996 1.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.000 1.000 0.000 1.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.000 0.996 1.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.000 1.000 0.000 1.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.000 1.000 0.000 1.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.000 1.000 0.000 1.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.000 1.000 0.000 1.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.000 1.000 0.000 1.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.000 1.000 0.000 1.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.000 0.996 1.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.000 0.996 1.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.000 1.000 0.000 1.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.000 0.996 1.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.000 1.000 0.000 1.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.000 0.996 1.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.000 1.000 0.000 1.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.000 1.000 0.000 1.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.000 1.000 0.000 1.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.000 0.996 1.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.000 1.000 0.000 1.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.000 1.000 0.000 1.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.000 1.000 0.000 1.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.000 1.000 0.000 1.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.000 1.000 0.000 1.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.000 1.000 0.000 1.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.000 0.996 1.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.000 0.996 1.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.000 1.000 0.000 1.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.000 1.000 0.000 1.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.000 1.000 0.000 1.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.000 1.000 0.000 1.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.000 0.996 1.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.000 1.000 0.000 1.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.000 0.996 1.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.000 0.996 1.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.000 1.000 0.000 1.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.000 1.000 0.000 1.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.000 1.000 0.000 1.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.000 0.996 1.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.000 1.000 0.000 1.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.000 1.000 0.000 1.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.000 0.996 1.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.000 1.000 0.000 1.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.000 1.000 0.000 1.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.000 0.996 1.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.000 0.996 1.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.000 1.000 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.000 0.996 1.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.000 1.000 0.000 1.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.000 1.000 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.000 1.000 0.000 1.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.000 0.996 1.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.000 1.000 0.000 1.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.000 1.000 0.000 1.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.000 1.000 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.000 1.000 0.000 1.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.000 1.000 0.000 1.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.000 1.000 0.000 1.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.000 1.000 0.000 1.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.000 0.996 1.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.000 1.000 0.000 1.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.000 1.000 0.000 1.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.000 1.000 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.000 1.000 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.000 0.996 1.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.000 1.000 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.000 1.000 0.000 1.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.000 1.000 0.000 1.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.000 1.000 0.000 1.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.000 0.996 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.000 1.000 0.000 1.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.000 1.000 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.000 0.996 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.000 1.000 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.000 0.996 1.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.000 1.000 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.000 0.996 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.000 1.000 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.000 0.996 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.000 0.996 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.000 1.000 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.000 1.000 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.000 0.996 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.000 1.000 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.000 1.000 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.985 0.000 1.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.985 0.000 1.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 1.000 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0000 0.985 0.000 1.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.0000 0.978 0.000 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.0000 0.978 0.000 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0000 0.978 0.000 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 1.000 1.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 1.000 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0000 0.978 0.000 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0000 1.000 1.000 0.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0000 0.978 0.000 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0000 1.000 1.000 0.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 1.000 1.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 1.000 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.985 0.000 1.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.985 0.000 1.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0000 0.978 0.000 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0000 0.985 0.000 1.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.985 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.985 0.000 1.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 1.000 1.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.985 0.000 1.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 1.000 1.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0000 0.985 0.000 1.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.0000 0.978 0.000 0.000 1.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 1.000 1.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.985 0.000 1.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 1.000 1.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.985 0.000 1.000 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 1.000 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.0000 0.978 0.000 0.000 1.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 1.000 1.000 0.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 1.000 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.985 0.000 1.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.0000 0.985 0.000 1.000 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0000 0.985 0.000 1.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.0000 0.978 0.000 0.000 1.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.0000 0.985 0.000 1.000 0.000
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#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.0000 0.978 0.000 0.000 1.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 3 0.5859 0.493 0.000 0.344 0.656
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 1.000 1.000 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.985 0.000 1.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.985 0.000 1.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 1.000 1.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 1.000 1.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0000 0.978 0.000 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 1.000 1.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.985 0.000 1.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.0000 0.978 0.000 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0000 0.985 0.000 1.000 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 1.000 1.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.985 0.000 1.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0000 0.985 0.000 1.000 0.000
#> B3527517-E339-46AE-8437-65303C309015 3 0.0000 0.978 0.000 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.985 0.000 1.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0000 0.985 0.000 1.000 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.1163 0.954 0.000 0.028 0.972
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.985 0.000 1.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 1.000 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0000 0.985 0.000 1.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.985 0.000 1.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0000 0.978 0.000 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.978 0.000 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 1.000 1.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0000 0.978 0.000 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.985 0.000 1.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.985 0.000 1.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.985 0.000 1.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 1.000 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.985 0.000 1.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.985 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 1.000 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0000 0.985 0.000 1.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 1.000 1.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.985 0.000 1.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 1.000 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.985 0.000 1.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 1.000 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 1.000 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.985 0.000 1.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.985 0.000 1.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 1.000 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.985 0.000 1.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.985 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.3400 0.6504 0.000 0.820 0.000 0.180
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0817 0.7448 0.000 0.976 0.000 0.024
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.6134 0.1321 0.000 0.048 0.508 0.444
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.4746 0.5605 0.000 0.008 0.688 0.304
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.4331 0.6286 0.000 0.000 0.712 0.288
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0188 0.8777 0.000 0.000 0.996 0.004
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.4134 0.7044 0.000 0.260 0.000 0.740
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.1792 0.8454 0.000 0.000 0.932 0.068
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.4040 0.7110 0.000 0.248 0.000 0.752
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.3219 0.6689 0.000 0.836 0.000 0.164
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 7A813F60-A41E-4552-990E-F22287654C1D 4 0.4985 0.3577 0.000 0.468 0.000 0.532
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.4898 0.4908 0.000 0.416 0.000 0.584
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.0336 0.8766 0.000 0.000 0.992 0.008
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.4817 0.3723 0.000 0.612 0.000 0.388
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.4985 0.3048 0.000 0.000 0.532 0.468
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.4972 -0.0652 0.000 0.544 0.000 0.456
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.3726 0.4482 0.000 0.212 0.000 0.788
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.4961 -0.0318 0.000 0.552 0.000 0.448
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.3539 0.7512 0.000 0.004 0.820 0.176
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.3356 0.6055 0.000 0.824 0.000 0.176
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.3172 0.6708 0.000 0.840 0.000 0.160
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 4 0.4564 0.5614 0.000 0.328 0.000 0.672
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.3636 0.7283 0.000 0.172 0.008 0.820
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.4830 0.3706 0.000 0.608 0.000 0.392
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.3123 0.6738 0.000 0.844 0.000 0.156
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.6033 0.3585 0.000 0.316 0.620 0.064
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 4 0.3528 0.7274 0.000 0.192 0.000 0.808
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.3764 0.5357 0.000 0.784 0.000 0.216
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 4 0.4804 0.5511 0.000 0.384 0.000 0.616
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.4804 0.3238 0.000 0.616 0.000 0.384
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.4925 0.2009 0.000 0.572 0.000 0.428
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.2011 0.8373 0.000 0.000 0.920 0.080
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.3219 0.6672 0.000 0.836 0.000 0.164
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 4 0.3873 0.4257 0.000 0.228 0.000 0.772
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.4967 -0.0481 0.000 0.548 0.000 0.452
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.3311 0.6598 0.000 0.828 0.000 0.172
#> CF629C65-585D-476D-B081-3E6E0575FAE3 1 0.4376 0.7855 0.796 0.012 0.016 0.176
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 4 0.4245 0.7073 0.000 0.116 0.064 0.820
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.4967 0.1501 0.000 0.548 0.000 0.452
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.1389 0.8531 0.000 0.000 0.952 0.048
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.3266 0.6640 0.000 0.832 0.000 0.168
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 4 0.3942 0.7168 0.000 0.236 0.000 0.764
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.5277 -0.1010 0.000 0.532 0.008 0.460
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 4 0.4477 0.6615 0.000 0.312 0.000 0.688
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 4 0.4274 0.6401 0.000 0.044 0.148 0.808
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.0592 0.8738 0.000 0.000 0.984 0.016
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.0469 0.8747 0.000 0.000 0.988 0.012
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 4 0.4804 0.5511 0.000 0.384 0.000 0.616
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 4 0.3837 0.5096 0.000 0.000 0.224 0.776
#> E769E41D-5949-42C5-9594-E563C05ACE52 3 0.6204 0.1091 0.000 0.052 0.500 0.448
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.3598 0.7164 0.000 0.124 0.848 0.028
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.4331 0.4178 0.000 0.712 0.000 0.288
#> 87F8A33F-FBC3-469E-862B-84472F796358 4 0.7526 0.3060 0.000 0.372 0.188 0.440
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 4 0.4040 0.6884 0.000 0.248 0.000 0.752
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 3 0.6134 0.1321 0.000 0.048 0.508 0.444
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 4 0.4040 0.6884 0.000 0.248 0.000 0.752
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.3123 0.6738 0.000 0.844 0.000 0.156
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.0188 0.8777 0.000 0.000 0.996 0.004
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 4 0.4720 0.6049 0.000 0.044 0.188 0.768
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 4 0.3444 0.7286 0.000 0.184 0.000 0.816
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.3356 0.6055 0.000 0.824 0.000 0.176
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.4972 -0.0652 0.000 0.544 0.000 0.456
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> E0961A30-A62C-4235-9CF0-A1776827A996 4 0.5132 0.7090 0.000 0.184 0.068 0.748
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 4 0.3528 0.7274 0.000 0.192 0.000 0.808
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.5537 0.3413 0.004 0.588 0.016 0.392
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 4 0.3528 0.7274 0.000 0.192 0.000 0.808
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 903BF591-B0AF-4BEE-B625-60B673070344 4 0.4454 0.6658 0.000 0.308 0.000 0.692
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.3266 0.6640 0.000 0.832 0.000 0.168
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.1716 0.7301 0.000 0.936 0.000 0.064
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.3726 0.7346 0.000 0.000 0.788 0.212
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.2011 0.7225 0.000 0.920 0.000 0.080
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.4961 -0.0435 0.000 0.552 0.000 0.448
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 3 0.5691 0.4981 0.000 0.048 0.648 0.304
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 4 0.4277 0.6742 0.000 0.280 0.000 0.720
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.3356 0.6055 0.000 0.824 0.000 0.176
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 4 0.4356 0.4116 0.000 0.000 0.292 0.708
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.4730 0.2574 0.000 0.636 0.000 0.364
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 1 0.8561 0.1489 0.440 0.332 0.052 0.176
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.4477 0.3685 0.000 0.688 0.000 0.312
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 4 0.4661 0.2229 0.000 0.000 0.348 0.652
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.3123 0.6742 0.000 0.844 0.000 0.156
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.1022 0.8661 0.000 0.000 0.968 0.032
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 3 0.5235 0.6114 0.000 0.048 0.716 0.236
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 4 0.4855 0.5172 0.000 0.400 0.000 0.600
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.3311 0.6598 0.000 0.828 0.000 0.172
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.2081 0.8344 0.000 0.000 0.916 0.084
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.6148 0.0588 0.000 0.048 0.484 0.468
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.4697 0.2826 0.000 0.644 0.000 0.356
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.4543 0.3464 0.000 0.676 0.000 0.324
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 4 0.4454 0.6518 0.000 0.308 0.000 0.692
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.6074 -0.1589 0.000 0.500 0.044 0.456
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0188 0.7523 0.000 0.996 0.000 0.004
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.4866 0.1347 0.000 0.596 0.000 0.404
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 4 0.6944 0.1969 0.000 0.112 0.404 0.484
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 4 0.3790 0.7269 0.000 0.164 0.016 0.820
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.2081 0.8344 0.000 0.000 0.916 0.084
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.5364 0.3448 0.000 0.592 0.016 0.392
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.3356 0.6055 0.000 0.824 0.000 0.176
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.3356 0.6055 0.000 0.824 0.000 0.176
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.4898 0.2343 0.000 0.584 0.000 0.416
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 4 0.3907 0.5186 0.000 0.000 0.232 0.768
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.7256 0.0990 0.000 0.540 0.256 0.204
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.3569 0.6309 0.000 0.804 0.000 0.196
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 4 0.4804 0.5511 0.000 0.384 0.000 0.616
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.3539 0.7512 0.000 0.004 0.820 0.176
#> CAE8097F-A139-4C6E-9E30-35080475FF34 4 0.3444 0.7286 0.000 0.184 0.000 0.816
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.3311 0.6598 0.000 0.828 0.000 0.172
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 4 0.4543 0.6445 0.000 0.324 0.000 0.676
#> B3527517-E339-46AE-8437-65303C309015 4 0.4477 0.3239 0.000 0.000 0.312 0.688
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.3311 0.6598 0.000 0.828 0.000 0.172
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.1557 0.7176 0.000 0.944 0.056 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.5936 0.4453 0.000 0.056 0.620 0.324
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.3356 0.6055 0.000 0.824 0.000 0.176
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.4866 0.2749 0.000 0.596 0.000 0.404
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0188 0.8777 0.000 0.000 0.996 0.004
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.8787 0.000 0.000 1.000 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0592 0.8739 0.000 0.000 0.984 0.016
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.4955 -0.0240 0.000 0.556 0.000 0.444
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 4 0.4888 0.4982 0.000 0.412 0.000 0.588
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 4 0.4643 0.6171 0.000 0.344 0.000 0.656
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.3172 0.6708 0.000 0.840 0.000 0.160
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 4 0.3400 0.7285 0.000 0.180 0.000 0.820
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0188 0.9896 0.996 0.000 0.000 0.004
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.3311 0.6598 0.000 0.828 0.000 0.172
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.3311 0.6598 0.000 0.828 0.000 0.172
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.2973 0.6287 0.000 0.856 0.000 0.144
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9902 1.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.7535 0.000 1.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.4585 0.3529 0.000 0.668 0.000 0.332
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.71681 0.000 1.000 0.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.4015 0.52916 0.000 0.652 0.000 0.348 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.3906 0.44649 0.000 0.744 0.000 0.240 0.016
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 4 0.6122 0.15602 0.000 0.004 0.124 0.528 0.344
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 4 0.6046 0.14434 0.000 0.000 0.132 0.524 0.344
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 5 0.5459 0.28156 0.000 0.000 0.236 0.120 0.644
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.2124 0.80239 0.000 0.000 0.916 0.056 0.028
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.1202 0.97463 0.960 0.000 0.004 0.004 0.032
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0000 0.85524 0.000 0.000 1.000 0.000 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.1041 0.97686 0.964 0.000 0.000 0.004 0.032
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
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#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0955 0.97764 0.968 0.000 0.000 0.004 0.028
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.5613 0.20752 0.000 0.604 0.000 0.108 0.288
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.71681 0.000 1.000 0.000 0.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 5 0.5287 0.23977 0.000 0.000 0.092 0.260 0.648
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.71681 0.000 1.000 0.000 0.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.3932 0.55325 0.000 0.672 0.000 0.328 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.6080 0.30232 0.000 0.000 0.520 0.136 0.344
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.1041 0.97686 0.964 0.000 0.000 0.004 0.032
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 4 0.6192 0.14599 0.000 0.004 0.132 0.520 0.344
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 4 0.3888 0.52451 0.000 0.120 0.000 0.804 0.076
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0955 0.97764 0.968 0.000 0.000 0.004 0.028
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.0000 0.85524 0.000 0.000 1.000 0.000 0.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.3932 0.55325 0.000 0.672 0.000 0.328 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 4 0.6794 -0.08301 0.000 0.000 0.288 0.368 0.344
#> 0F00E267-C748-4A71-8B36-03C410641D88 4 0.5855 0.17711 0.000 0.004 0.096 0.552 0.348
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.4219 0.41288 0.000 0.584 0.000 0.416 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.71681 0.000 1.000 0.000 0.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.1041 0.97686 0.964 0.000 0.000 0.004 0.032
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0162 0.71692 0.000 0.996 0.000 0.004 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.1041 0.97686 0.964 0.000 0.000 0.004 0.032
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.5843 0.15235 0.000 0.572 0.000 0.124 0.304
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.1041 0.97686 0.964 0.000 0.000 0.004 0.032
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 4 0.5510 0.04453 0.000 0.380 0.000 0.548 0.072
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.0000 0.85524 0.000 0.000 1.000 0.000 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.0000 0.85524 0.000 0.000 1.000 0.000 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.1041 0.97686 0.964 0.000 0.000 0.004 0.032
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 4 0.4400 0.39945 0.000 0.060 0.000 0.744 0.196
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.2074 0.69141 0.000 0.896 0.000 0.104 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 4 0.4192 0.04027 0.000 0.404 0.000 0.596 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.71681 0.000 1.000 0.000 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0000 0.85524 0.000 0.000 1.000 0.000 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 4 0.5242 0.43254 0.000 0.028 0.112 0.728 0.132
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0771 0.97868 0.976 0.000 0.000 0.004 0.020
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 4 0.4196 0.19510 0.000 0.004 0.000 0.640 0.356
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0162 0.71432 0.000 0.996 0.000 0.000 0.004
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 4 0.6794 -0.08301 0.000 0.000 0.288 0.368 0.344
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 5 0.6512 0.30747 0.000 0.384 0.100 0.028 0.488
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.1041 0.97686 0.964 0.000 0.000 0.004 0.032
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.3796 0.33806 0.000 0.700 0.000 0.000 0.300
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0955 0.97764 0.968 0.000 0.000 0.004 0.028
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.3796 0.33806 0.000 0.700 0.000 0.000 0.300
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.4682 0.41240 0.000 0.564 0.000 0.420 0.016
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.71681 0.000 1.000 0.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 4 0.5004 0.35165 0.000 0.000 0.092 0.692 0.216
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 4 0.6905 0.19063 0.000 0.372 0.140 0.456 0.032
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.4235 0.39461 0.000 0.576 0.000 0.424 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0162 0.71692 0.000 0.996 0.000 0.004 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.1041 0.97686 0.964 0.000 0.000 0.004 0.032
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0000 0.85524 0.000 0.000 1.000 0.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0955 0.97764 0.968 0.000 0.000 0.004 0.028
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 4 0.3918 0.51714 0.000 0.096 0.000 0.804 0.100
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.3928 0.57531 0.000 0.004 0.700 0.000 0.296
#> CAE8097F-A139-4C6E-9E30-35080475FF34 4 0.5359 0.30427 0.000 0.076 0.000 0.608 0.316
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.1041 0.97686 0.964 0.000 0.000 0.004 0.032
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.3932 0.55325 0.000 0.672 0.000 0.328 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 4 0.3134 0.52489 0.000 0.120 0.000 0.848 0.032
#> B3527517-E339-46AE-8437-65303C309015 5 0.5287 0.23977 0.000 0.000 0.092 0.260 0.648
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.3932 0.55325 0.000 0.672 0.000 0.328 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.4248 0.48781 0.000 0.784 0.160 0.032 0.024
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.6464 0.04544 0.000 0.000 0.476 0.200 0.324
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0162 0.71692 0.000 0.996 0.000 0.004 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.3796 0.33806 0.000 0.700 0.000 0.000 0.300
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.5261 0.35730 0.000 0.528 0.000 0.424 0.048
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.5066 0.55003 0.000 0.000 0.676 0.084 0.240
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.85524 0.000 0.000 1.000 0.000 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.1041 0.97686 0.964 0.000 0.000 0.004 0.032
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.5889 0.34359 0.000 0.000 0.544 0.116 0.340
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 4 0.4193 0.46160 0.000 0.256 0.000 0.720 0.024
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.71681 0.000 1.000 0.000 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 4 0.3642 0.47454 0.000 0.232 0.000 0.760 0.008
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 4 0.2624 0.52743 0.000 0.116 0.000 0.872 0.012
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.3932 0.55325 0.000 0.672 0.000 0.328 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 4 0.5080 0.27885 0.000 0.056 0.000 0.628 0.316
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.1041 0.97686 0.964 0.000 0.000 0.004 0.032
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.3932 0.55325 0.000 0.672 0.000 0.328 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.71681 0.000 1.000 0.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.3932 0.55325 0.000 0.672 0.000 0.328 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0865 0.69728 0.000 0.972 0.000 0.024 0.004
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.98094 1.000 0.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.71681 0.000 1.000 0.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.4161 0.45717 0.000 0.608 0.000 0.392 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0146 0.77248 0.000 0.996 0.000 0.004 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 4 0.3810 0.42341 0.000 0.428 0.000 0.572 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.1528 0.88252 0.944 0.000 0.000 0.012 0.028 0.016
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.5576 0.26074 0.000 0.656 0.000 0.172 0.072 0.100
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 6 0.2404 0.77923 0.000 0.000 0.036 0.080 0.000 0.884
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 6 0.2433 0.78183 0.000 0.000 0.044 0.072 0.000 0.884
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 6 0.5773 0.49913 0.000 0.000 0.060 0.108 0.212 0.620
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.1528 0.88252 0.944 0.000 0.000 0.012 0.028 0.016
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.88440 1.000 0.000 0.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.2300 0.75769 0.000 0.000 0.856 0.000 0.000 0.144
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.4221 0.85121 0.760 0.000 0.004 0.012 0.156 0.068
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0146 0.88356 0.000 0.000 0.996 0.000 0.000 0.004
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.4082 0.85246 0.764 0.000 0.000 0.012 0.156 0.068
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0146 0.88443 0.996 0.000 0.000 0.000 0.004 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.88440 1.000 0.000 0.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.77218 0.000 1.000 0.000 0.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.2918 0.50019 0.000 0.048 0.000 0.868 0.020 0.064
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 6 0.2165 0.76678 0.000 0.000 0.108 0.008 0.000 0.884
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.4854 0.33528 0.000 0.012 0.000 0.688 0.188 0.112
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.2340 0.62828 0.000 0.852 0.000 0.148 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 4 0.4032 0.42415 0.000 0.420 0.000 0.572 0.008 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.4436 0.84134 0.728 0.000 0.000 0.012 0.180 0.080
#> 7A813F60-A41E-4552-990E-F22287654C1D 4 0.3499 0.50945 0.000 0.320 0.000 0.680 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.4436 0.84134 0.728 0.000 0.000 0.012 0.180 0.080
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.4288 0.47264 0.000 0.036 0.000 0.760 0.052 0.152
#> 61130DEE-E267-49DF-8B41-7738A06EF738 6 0.3997 0.05915 0.000 0.000 0.488 0.000 0.004 0.508
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.1528 0.88252 0.944 0.000 0.000 0.012 0.028 0.016
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0260 0.77178 0.000 0.992 0.000 0.008 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.2908 0.86910 0.848 0.000 0.000 0.000 0.104 0.048
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.5262 -0.35128 0.000 0.456 0.000 0.096 0.448 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.88440 1.000 0.000 0.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 6 0.5628 0.50722 0.000 0.000 0.044 0.116 0.212 0.628
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.1777 0.88000 0.932 0.000 0.000 0.012 0.032 0.024
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.88440 1.000 0.000 0.000 0.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 4 0.4341 0.37215 0.000 0.032 0.000 0.668 0.008 0.292
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 5 0.3614 0.55957 0.000 0.028 0.000 0.220 0.752 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 4 0.4582 0.50342 0.000 0.140 0.000 0.724 0.012 0.124
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.2915 0.73110 0.000 0.000 0.808 0.000 0.184 0.008
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.5439 -0.02697 0.000 0.524 0.000 0.016 0.380 0.080
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.4436 0.84134 0.728 0.000 0.000 0.012 0.180 0.080
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0000 0.88571 0.000 0.000 1.000 0.000 0.000 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.88440 1.000 0.000 0.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 4 0.3843 0.39136 0.000 0.452 0.000 0.548 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.77218 0.000 1.000 0.000 0.000 0.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 4 0.6031 0.04748 0.000 0.248 0.000 0.392 0.360 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.6017 -0.01332 0.000 0.000 0.000 0.424 0.260 0.316
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.77218 0.000 1.000 0.000 0.000 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.2730 0.55525 0.000 0.808 0.000 0.192 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.5450 -0.30361 0.000 0.452 0.000 0.120 0.428 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.4436 0.84134 0.728 0.000 0.000 0.012 0.180 0.080
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0363 0.76941 0.000 0.988 0.000 0.012 0.000 0.000
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#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.0000 0.88571 0.000 0.000 1.000 0.000 0.000 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.4387 0.84288 0.732 0.000 0.000 0.012 0.180 0.076
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 4 0.4541 0.07966 0.000 0.016 0.000 0.544 0.012 0.428
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.3330 0.34674 0.000 0.716 0.000 0.284 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 4 0.3118 0.52851 0.000 0.156 0.000 0.820 0.012 0.012
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0146 0.77248 0.000 0.996 0.000 0.004 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0000 0.88571 0.000 0.000 1.000 0.000 0.000 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 4 0.4645 0.21349 0.000 0.008 0.016 0.600 0.012 0.364
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.3563 0.86601 0.808 0.000 0.000 0.012 0.132 0.048
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.88440 1.000 0.000 0.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 4 0.5083 -0.00947 0.000 0.000 0.000 0.580 0.320 0.100
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.77218 0.000 1.000 0.000 0.000 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 6 0.2263 0.77114 0.000 0.000 0.100 0.016 0.000 0.884
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 5 0.5752 0.23969 0.000 0.436 0.024 0.092 0.448 0.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.4082 0.85246 0.764 0.000 0.000 0.012 0.156 0.068
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.3807 0.23895 0.000 0.628 0.000 0.000 0.368 0.004
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.2842 0.86982 0.852 0.000 0.000 0.000 0.104 0.044
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.88440 1.000 0.000 0.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.4015 0.21311 0.000 0.616 0.000 0.012 0.372 0.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 4 0.4150 0.44675 0.000 0.392 0.000 0.592 0.016 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0146 0.77248 0.000 0.996 0.000 0.004 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.88440 1.000 0.000 0.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 6 0.5773 0.12402 0.000 0.000 0.016 0.416 0.112 0.456
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.8358 -0.28229 0.000 0.328 0.064 0.260 0.152 0.196
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.1528 0.88189 0.944 0.000 0.000 0.012 0.028 0.016
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 4 0.3693 0.52506 0.000 0.280 0.000 0.708 0.008 0.004
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.2562 0.58995 0.000 0.828 0.000 0.172 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.88440 1.000 0.000 0.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.4436 0.84134 0.728 0.000 0.000 0.012 0.180 0.080
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0000 0.88571 0.000 0.000 1.000 0.000 0.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.2999 0.86821 0.840 0.000 0.000 0.000 0.112 0.048
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 4 0.3644 0.40582 0.000 0.008 0.000 0.732 0.008 0.252
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.3782 0.50131 0.000 0.000 0.636 0.004 0.360 0.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 4 0.4417 -0.03838 0.000 0.004 0.000 0.588 0.384 0.024
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.4436 0.84134 0.728 0.000 0.000 0.012 0.180 0.080
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 4 0.3823 0.41537 0.000 0.436 0.000 0.564 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 4 0.4211 0.44411 0.000 0.016 0.000 0.764 0.092 0.128
#> B3527517-E339-46AE-8437-65303C309015 6 0.5671 0.48625 0.000 0.000 0.036 0.124 0.228 0.612
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 4 0.3823 0.41537 0.000 0.436 0.000 0.564 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.3406 0.54237 0.000 0.808 0.160 0.012 0.008 0.012
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 5 0.6497 0.30453 0.000 0.000 0.204 0.304 0.456 0.036
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.1204 0.73551 0.000 0.944 0.000 0.056 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.88440 1.000 0.000 0.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.3807 0.23895 0.000 0.628 0.000 0.000 0.368 0.004
#> B4E02660-562F-4EAC-8472-CBBD8A577688 4 0.4131 0.45113 0.000 0.384 0.000 0.600 0.016 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.4184 -0.06949 0.000 0.000 0.500 0.000 0.012 0.488
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.88571 0.000 0.000 1.000 0.000 0.000 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.4436 0.84134 0.728 0.000 0.000 0.012 0.180 0.080
#> FF00E80A-046D-4233-835E-CDF93403EA43 6 0.3468 0.57256 0.000 0.000 0.284 0.000 0.004 0.712
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 4 0.5815 0.39236 0.000 0.068 0.000 0.632 0.148 0.152
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0146 0.77248 0.000 0.996 0.000 0.004 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 4 0.2918 0.51801 0.000 0.088 0.000 0.856 0.004 0.052
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.88440 1.000 0.000 0.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 4 0.2723 0.49428 0.000 0.016 0.000 0.852 0.004 0.128
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 4 0.3843 0.39136 0.000 0.452 0.000 0.548 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.88440 1.000 0.000 0.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 4 0.4978 -0.04269 0.000 0.024 0.000 0.560 0.384 0.032
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.4436 0.84134 0.728 0.000 0.000 0.012 0.180 0.080
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 4 0.3817 0.41992 0.000 0.432 0.000 0.568 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.1528 0.88252 0.944 0.000 0.000 0.012 0.028 0.016
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0260 0.77178 0.000 0.992 0.000 0.008 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.88440 1.000 0.000 0.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.88440 1.000 0.000 0.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 4 0.3823 0.41537 0.000 0.436 0.000 0.564 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.1391 0.73636 0.000 0.944 0.000 0.016 0.040 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.88440 1.000 0.000 0.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0260 0.77178 0.000 0.992 0.000 0.008 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 4 0.3659 0.48209 0.000 0.364 0.000 0.636 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "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 17288 rows and 266 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 1.000 1.000 1.000 0.4343 0.566 0.566
#> 3 3 0.834 0.876 0.945 0.5025 0.786 0.622
#> 4 4 0.723 0.744 0.823 0.0881 0.890 0.711
#> 5 5 0.792 0.862 0.885 0.0790 0.914 0.724
#> 6 6 0.854 0.829 0.911 0.0788 0.921 0.681
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0 1 0 1
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0 1 0 1
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0 1 1 0
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0 1 0 1
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0 1 0 1
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0 1 0 1
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0 1 0 1
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0 1 1 0
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0 1 1 0
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0 1 0 1
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0 1 1 0
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0 1 0 1
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0 1 1 0
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0 1 1 0
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0 1 1 0
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0 1 0 1
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0 1 0 1
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0 1 0 1
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0 1 0 1
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0 1 0 1
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0 1 0 1
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0 1 1 0
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0 1 0 1
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0 1 1 0
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0 1 0 1
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0 1 0 1
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0 1 1 0
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0 1 0 1
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0 1 1 0
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0 1 0 1
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0 1 1 0
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0 1 0 1
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0 1 1 0
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0 1 1 0
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0 1 0 1
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0 1 0 1
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0 1 0 1
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 2 0 1 0 1
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0 1 0 1
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0 1 1 0
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0 1 0 1
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0 1 1 0
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0 1 0 1
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0 1 0 1
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0 1 0 1
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0 1 0 1
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0 1 0 1
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0 1 0 1
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0 1 0 1
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0 1 1 0
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0 1 0 1
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0 1 0 1
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0 1 1 0
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0 1 1 0
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0 1 0 1
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0 1 0 1
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0 1 1 0
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0 1 0 1
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0 1 0 1
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0 1 0 1
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0 1 0 1
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0 1 0 1
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0 1 0 1
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0 1 0 1
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0 1 0 1
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0 1 0 1
#> CF629C65-585D-476D-B081-3E6E0575FAE3 2 0 1 0 1
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0 1 0 1
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0 1 1 0
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0 1 0 1
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0 1 1 0
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0 1 1 0
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0 1 0 1
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0 1 0 1
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0 1 0 1
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0 1 1 0
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0 1 0 1
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 2 0 1 0 1
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0 1 0 1
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 2 0 1 0 1
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0 1 0 1
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0 1 1 0
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0 1 0 1
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0 1 0 1
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0 1 1 0
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0 1 0 1
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0 1 0 1
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0 1 0 1
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0 1 0 1
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0 1 0 1
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0 1 0 1
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0 1 1 0
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0 1 0 1
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0 1 1 0
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0 1 1 0
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0 1 0 1
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0 1 0 1
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0 1 1 0
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0 1 0 1
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0 1 1 0
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0 1 0 1
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0 1 0 1
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0 1 1 0
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0 1 0 1
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0 1 1 0
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0 1 0 1
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0 1 0 1
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0 1 1 0
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 2 0 1 0 1
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0 1 0 1
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0 1 0 1
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0 1 1 0
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0 1 1 0
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0 1 1 0
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0 1 0 1
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0 1 0 1
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0 1 0 1
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0 1 0 1
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0 1 0 1
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0 1 0 1
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0 1 0 1
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 2 0 1 0 1
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0 1 0 1
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0 1 0 1
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0 1 0 1
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0 1 0 1
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0 1 0 1
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0 1 0 1
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0 1 1 0
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0 1 0 1
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 2 0 1 0 1
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0 1 1 0
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0 1 0 1
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0 1 0 1
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0 1 1 0
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0 1 0 1
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0 1 0 1
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0 1 1 0
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0 1 0 1
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0 1 1 0
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0 1 0 1
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0 1 0 1
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0 1 0 1
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0 1 0 1
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0 1 1 0
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0 1 1 0
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0 1 0 1
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0 1 0 1
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0 1 0 1
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0 1 0 1
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 2 0 1 0 1
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0 1 1 0
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0 1 0 1
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0 1 1 0
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0 1 1 0
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0 1 0 1
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0 1 1 0
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0 1 0 1
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0 1 0 1
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0 1 0 1
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0 1 0 1
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0 1 1 0
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0 1 1 0
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0 1 0 1
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0 1 0 1
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0 1 1 0
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0 1 1 0
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0 1 1 0
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0 1 0 1
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 2 0 1 0 1
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0 1 1 0
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0 1 0 1
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0 1 0 1
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0 1 0 1
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0 1 1 0
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0 1 1 0
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0 1 0 1
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0 1 0 1
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0 1 0 1
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0 1 1 0
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0 1 0 1
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0 1 1 0
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0 1 0 1
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0 1 1 0
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0 1 0 1
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0 1 0 1
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0 1 0 1
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0 1 0 1
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0 1 0 1
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0 1 0 1
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0 1 1 0
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0 1 1 0
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0 1 0 1
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0 1 1 0
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0 1 0 1
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0 1 1 0
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0 1 0 1
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0 1 0 1
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0 1 0 1
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0 1 1 0
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0 1 0 1
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0 1 0 1
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0 1 0 1
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0 1 0 1
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0 1 0 1
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0 1 0 1
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0 1 1 0
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0 1 1 0
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0 1 0 1
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0 1 0 1
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0 1 0 1
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0 1 0 1
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0 1 1 0
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0 1 0 1
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0 1 1 0
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0 1 1 0
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0 1 0 1
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0 1 0 1
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0 1 0 1
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0 1 1 0
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0 1 0 1
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0 1 0 1
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0 1 1 0
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0 1 0 1
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0 1 0 1
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0 1 1 0
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0 1 1 0
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0 1 0 1
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0 1 1 0
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0 1 0 1
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0 1 0 1
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0 1 0 1
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0 1 1 0
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0 1 0 1
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0 1 0 1
#> B3527517-E339-46AE-8437-65303C309015 2 0 1 0 1
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0 1 0 1
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0 1 0 1
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0 1 0 1
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0 1 0 1
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0 1 1 0
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0 1 0 1
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0 1 0 1
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0 1 0 1
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0 1 0 1
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0 1 1 0
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0 1 0 1
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0 1 0 1
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0 1 0 1
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0 1 0 1
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0 1 1 0
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0 1 0 1
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0 1 0 1
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0 1 1 0
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0 1 0 1
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0 1 1 0
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0 1 0 1
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0 1 1 0
#> CE91F591-6072-4D29-9495-C78961635969 2 0 1 0 1
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0 1 1 0
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0 1 1 0
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0 1 0 1
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0 1 0 1
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0 1 1 0
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0 1 0 1
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0 1 0 1
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.9183 0.000 1.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.9183 0.000 1.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9905 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.5560 0.5479 0.000 0.700 0.300
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.5560 0.6023 0.000 0.700 0.300
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.4235 0.7599 0.000 0.176 0.824
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.4178 0.7580 0.000 0.172 0.828
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.9905 1.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9905 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0000 0.9085 0.000 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.6168 0.3100 0.588 0.000 0.412
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0000 0.9085 0.000 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.5926 0.4457 0.644 0.000 0.356
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9905 1.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9905 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.9183 0.000 1.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.1411 0.9018 0.000 0.964 0.036
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0000 0.9085 0.000 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.1643 0.8972 0.000 0.956 0.044
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.9183 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.9183 0.000 1.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.9905 1.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.9183 0.000 1.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.9905 1.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 3 0.5327 0.6586 0.000 0.272 0.728
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.0000 0.9085 0.000 0.000 1.000
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#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0000 0.9085 0.000 0.000 1.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.0000 0.9085 0.000 0.000 1.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.9905 1.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.9905 1.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.3412 0.8397 0.000 0.876 0.124
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.3941 0.7786 0.000 0.844 0.156
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.0000 0.9085 0.000 0.000 1.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.5733 0.4722 0.000 0.676 0.324
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0000 0.9905 1.000 0.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0000 0.9183 0.000 1.000 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.9905 1.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.9905 1.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 3 0.4178 0.7863 0.000 0.172 0.828
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.9183 0.000 1.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.9183 0.000 1.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.9905 1.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.0237 0.9070 0.000 0.004 0.996
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 3 0.5733 0.5191 0.000 0.324 0.676
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.9905 1.000 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.9183 0.000 1.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.9183 0.000 1.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9905 1.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.9905 1.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0000 0.9085 0.000 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.9905 1.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.1860 0.8932 0.000 0.948 0.052
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.0237 0.9069 0.000 0.004 0.996
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.2711 0.8694 0.000 0.912 0.088
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.9905 1.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.9183 0.000 1.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.3879 0.8135 0.000 0.848 0.152
#> B3527517-E339-46AE-8437-65303C309015 2 0.6305 0.0848 0.000 0.516 0.484
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.9183 0.000 1.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0592 0.9135 0.000 0.988 0.012
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.5948 0.4797 0.000 0.360 0.640
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.9183 0.000 1.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9905 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0892 0.9080 0.000 0.980 0.020
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.9183 0.000 1.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0000 0.9085 0.000 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.9085 0.000 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.9905 1.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0000 0.9085 0.000 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.1643 0.8972 0.000 0.956 0.044
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.9183 0.000 1.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.1289 0.9039 0.000 0.968 0.032
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9905 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.1860 0.8932 0.000 0.948 0.052
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.9183 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9905 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.1753 0.8954 0.000 0.952 0.048
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.9905 1.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.9183 0.000 1.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.9905 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.9183 0.000 1.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9905 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9905 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0747 0.9118 0.000 0.984 0.016
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.9183 0.000 1.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9905 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.9183 0.000 1.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.9183 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0188 0.8549 0.000 0.996 0.000 0.004
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.4605 0.8395 0.664 0.000 0.000 0.336
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.6944 0.4252 0.000 0.588 0.216 0.196
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 4 0.6055 0.6210 0.000 0.372 0.052 0.576
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 4 0.6620 0.5636 0.000 0.104 0.320 0.576
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.6876 0.5914 0.000 0.144 0.280 0.576
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.7843 0.5137 0.388 0.000 0.268 0.344
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.6759 0.7458 0.548 0.000 0.108 0.344
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.4624 0.8393 0.660 0.000 0.000 0.340
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.2704 0.7549 0.000 0.876 0.000 0.124
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 4 0.4916 0.4589 0.000 0.000 0.424 0.576
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.2921 0.7342 0.000 0.860 0.000 0.140
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.1792 0.8551 0.000 0.932 0.000 0.068
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0188 0.8549 0.000 0.996 0.000 0.004
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0188 0.8549 0.000 0.996 0.000 0.004
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.7803 -0.3375 0.000 0.416 0.316 0.268
#> 61130DEE-E267-49DF-8B41-7738A06EF738 4 0.4941 0.4341 0.000 0.000 0.436 0.564
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 4 0.6912 0.6558 0.000 0.272 0.152 0.576
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 4 0.5923 0.6132 0.000 0.376 0.044 0.580
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.0188 0.8554 0.000 0.996 0.004 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 4 0.4961 0.4213 0.000 0.448 0.000 0.552
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 3 0.7530 -0.0484 0.000 0.272 0.492 0.236
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0188 0.8549 0.000 0.996 0.000 0.004
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.5953 0.5258 0.000 0.656 0.268 0.076
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0000 0.8554 0.000 1.000 0.000 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.5080 0.5477 0.000 0.420 0.004 0.576
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.4621 0.7360 0.000 0.796 0.128 0.076
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.8554 0.000 1.000 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.0000 0.8554 0.000 1.000 0.000 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.1022 0.8578 0.000 0.968 0.000 0.032
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0592 0.8514 0.000 0.984 0.000 0.016
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0592 0.8311 0.984 0.000 0.000 0.016
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.5454 0.6777 0.000 0.732 0.172 0.096
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.0336 0.8568 0.000 0.992 0.000 0.008
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 4 0.4916 0.5359 0.000 0.424 0.000 0.576
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0188 0.8563 0.000 0.996 0.000 0.004
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 4 0.4916 0.4589 0.000 0.000 0.424 0.576
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0188 0.8549 0.000 0.996 0.000 0.004
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.0804 0.8572 0.000 0.980 0.012 0.008
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 4 0.6793 0.6347 0.000 0.288 0.132 0.580
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0188 0.8549 0.000 0.996 0.000 0.004
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0336 0.8307 0.992 0.000 0.000 0.008
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.1474 0.8568 0.000 0.948 0.000 0.052
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.4543 0.8397 0.676 0.000 0.000 0.324
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.3764 0.6145 0.000 0.784 0.000 0.216
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.0000 0.8554 0.000 1.000 0.000 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.4724 0.7264 0.000 0.788 0.136 0.076
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.5900 0.5398 0.000 0.664 0.260 0.076
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0336 0.8560 0.000 0.992 0.000 0.008
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.1637 0.8561 0.000 0.940 0.000 0.060
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.4710 0.6909 0.000 0.792 0.120 0.088
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 4 0.4916 0.4589 0.000 0.000 0.424 0.576
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 4 0.6620 0.6577 0.000 0.320 0.104 0.576
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.6543 -0.0687 0.000 0.084 0.544 0.372
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.4764 0.5530 0.000 0.748 0.032 0.220
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.2125 0.8523 0.000 0.920 0.004 0.076
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.4153 0.6989 0.000 0.820 0.048 0.132
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 4 0.4916 0.4589 0.000 0.000 0.424 0.576
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.0336 0.8854 0.000 0.000 0.992 0.008
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 4 0.5193 0.4691 0.000 0.008 0.412 0.580
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 4 0.6808 0.6572 0.000 0.300 0.128 0.572
#> E769E41D-5949-42C5-9594-E563C05ACE52 4 0.6928 0.6567 0.000 0.268 0.156 0.576
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.2647 0.7354 0.000 0.000 0.880 0.120
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> 87F8A33F-FBC3-469E-862B-84472F796358 4 0.4925 0.4511 0.000 0.000 0.428 0.572
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.2125 0.8524 0.000 0.920 0.004 0.076
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.0188 0.8549 0.000 0.996 0.000 0.004
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 4 0.7001 0.6170 0.000 0.180 0.244 0.576
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.0188 0.8549 0.000 0.996 0.000 0.004
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.5631 0.5998 0.000 0.700 0.224 0.076
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.4977 -0.1814 0.000 0.000 0.540 0.460
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 4 0.5070 0.5514 0.000 0.416 0.004 0.580
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.2921 0.7342 0.000 0.860 0.000 0.140
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.5787 0.5668 0.000 0.680 0.244 0.076
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 74868C37-8143-4306-81CA-E45759D146CD 4 0.5936 0.6108 0.000 0.380 0.044 0.576
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.1867 0.8543 0.000 0.928 0.000 0.072
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.0707 0.8492 0.000 0.980 0.000 0.020
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.2469 0.7736 0.000 0.892 0.000 0.108
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.1792 0.8551 0.000 0.932 0.000 0.068
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.0817 0.8461 0.000 0.976 0.000 0.024
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.2654 0.7713 0.000 0.888 0.004 0.108
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0188 0.8549 0.000 0.996 0.000 0.004
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0188 0.8549 0.000 0.996 0.000 0.004
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0188 0.8549 0.000 0.996 0.000 0.004
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0469 0.8305 0.988 0.000 0.000 0.012
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.7219 -0.2994 0.000 0.488 0.148 0.364
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 4 0.5080 0.4639 0.000 0.004 0.420 0.576
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.0592 0.8511 0.000 0.984 0.000 0.016
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.6052 0.4965 0.000 0.640 0.284 0.076
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.5900 0.5417 0.000 0.664 0.260 0.076
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 4 0.5408 0.5692 0.000 0.408 0.016 0.576
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.4304 0.4058 0.000 0.716 0.000 0.284
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 3 0.5696 -0.1166 0.000 0.484 0.492 0.024
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.4605 0.8395 0.664 0.000 0.000 0.336
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.0000 0.8554 0.000 1.000 0.000 0.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 4 0.6682 0.6610 0.000 0.312 0.112 0.576
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0188 0.8303 0.996 0.000 0.000 0.004
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.4621 0.7360 0.000 0.796 0.128 0.076
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.2011 0.8538 0.000 0.920 0.000 0.080
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 4 0.4916 0.4589 0.000 0.000 0.424 0.576
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 4 0.5080 0.4639 0.000 0.004 0.420 0.576
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 4 0.4925 0.5281 0.000 0.428 0.000 0.572
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.4477 0.8396 0.688 0.000 0.000 0.312
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.1211 0.8382 0.000 0.960 0.000 0.040
#> 30346897-EC77-4153-88A2-D14593C8B741 4 0.4916 0.4589 0.000 0.000 0.424 0.576
#> 0F00E267-C748-4A71-8B36-03C410641D88 4 0.6355 0.6423 0.000 0.348 0.076 0.576
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.4898 -0.1103 0.000 0.584 0.000 0.416
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.5011 0.6961 0.000 0.764 0.160 0.076
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0188 0.8549 0.000 0.996 0.000 0.004
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 4 0.5498 0.4785 0.000 0.020 0.404 0.576
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.8554 0.000 1.000 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.8554 0.000 1.000 0.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 4 0.4916 0.4589 0.000 0.000 0.424 0.576
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 4 0.4907 0.5435 0.000 0.420 0.000 0.580
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.4621 0.7360 0.000 0.796 0.128 0.076
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 4 0.4916 0.4589 0.000 0.000 0.424 0.576
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.3617 0.8117 0.000 0.860 0.064 0.076
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0188 0.8303 0.996 0.000 0.000 0.004
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.5378 0.1912 0.000 0.540 0.448 0.012
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0188 0.8549 0.000 0.996 0.000 0.004
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 4 0.4916 0.4589 0.000 0.000 0.424 0.576
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 4 0.6075 0.5157 0.000 0.076 0.288 0.636
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.4605 0.8397 0.664 0.000 0.000 0.336
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0336 0.8541 0.000 0.992 0.000 0.008
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0707 0.8576 0.000 0.980 0.000 0.020
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.3610 0.8367 0.800 0.000 0.000 0.200
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 4 0.4907 0.5435 0.000 0.420 0.000 0.580
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.2921 0.7342 0.000 0.860 0.000 0.140
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0336 0.8541 0.000 0.992 0.000 0.008
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.4194 0.5804 0.000 0.764 0.008 0.228
#> B3527517-E339-46AE-8437-65303C309015 4 0.6835 0.6599 0.000 0.288 0.136 0.576
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0336 0.8540 0.000 0.992 0.000 0.008
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.2742 0.8472 0.000 0.900 0.024 0.076
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.5113 0.5234 0.000 0.684 0.292 0.024
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.2522 0.8457 0.000 0.908 0.016 0.076
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0188 0.8549 0.000 0.996 0.000 0.004
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.4977 -0.1802 0.000 0.000 0.540 0.460
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.8944 0.000 0.000 1.000 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> FF00E80A-046D-4233-835E-CDF93403EA43 4 0.4916 0.4589 0.000 0.000 0.424 0.576
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.4222 0.5126 0.000 0.728 0.000 0.272
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.2589 0.7675 0.000 0.884 0.000 0.116
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 4 0.4925 0.5281 0.000 0.428 0.000 0.572
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0817 0.8578 0.000 0.976 0.000 0.024
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.3688 0.6334 0.000 0.792 0.000 0.208
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.3569 0.6309 0.000 0.804 0.000 0.196
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.4643 0.8392 0.656 0.000 0.000 0.344
#> CE91F591-6072-4D29-9495-C78961635969 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.2216 0.7971 0.000 0.908 0.000 0.092
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.8300 1.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.1940 0.8536 0.000 0.924 0.000 0.076
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.1867 0.8112 0.000 0.928 0.000 0.072
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.8672 0.000 1.000 0.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.4035 0.8566 0.000 0.784 0.000 0.156 0.060
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.2929 0.8012 0.820 0.000 0.000 0.000 0.180
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.3966 0.3444 0.000 0.664 0.000 0.336 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 4 0.0404 0.7995 0.000 0.000 0.012 0.988 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 4 0.2690 0.8086 0.000 0.000 0.156 0.844 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.3289 0.8086 0.000 0.048 0.108 0.844 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.2732 0.8232 0.840 0.000 0.000 0.000 0.160
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0566 0.9381 0.984 0.000 0.012 0.000 0.004
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0000 0.9480 1.000 0.000 0.000 0.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0404 0.9457 0.988 0.000 0.000 0.000 0.012
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 5 0.1544 0.9755 0.068 0.000 0.000 0.000 0.932
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0162 0.8664 0.000 0.996 0.000 0.000 0.004
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.4588 0.7805 0.000 0.720 0.000 0.220 0.060
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 4 0.2690 0.8086 0.000 0.000 0.156 0.844 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.4639 0.7630 0.000 0.708 0.000 0.236 0.056
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.1942 0.8706 0.000 0.920 0.000 0.068 0.012
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.3442 0.8632 0.000 0.836 0.000 0.104 0.060
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.4035 0.8566 0.000 0.784 0.000 0.156 0.060
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0162 0.9461 0.996 0.000 0.000 0.000 0.004
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.7001 0.4619 0.000 0.320 0.168 0.480 0.032
#> 61130DEE-E267-49DF-8B41-7738A06EF738 4 0.2813 0.8004 0.000 0.000 0.168 0.832 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.1197 0.9212 0.952 0.000 0.000 0.000 0.048
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.1270 0.8656 0.000 0.948 0.000 0.052 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 5 0.1908 0.9572 0.092 0.000 0.000 0.000 0.908
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0162 0.8664 0.000 0.996 0.000 0.000 0.004
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 4 0.3255 0.8087 0.000 0.052 0.100 0.848 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.2891 0.8102 0.824 0.000 0.000 0.000 0.176
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 5 0.1544 0.9755 0.068 0.000 0.000 0.000 0.932
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 4 0.0000 0.7945 0.000 0.000 0.000 1.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.3547 0.8642 0.000 0.836 0.004 0.100 0.060
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 4 0.4563 0.6241 0.000 0.244 0.000 0.708 0.048
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.0162 0.9909 0.000 0.000 0.996 0.000 0.004
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 4 0.6487 0.5303 0.000 0.256 0.220 0.520 0.004
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 5 0.1544 0.9755 0.068 0.000 0.000 0.000 0.932
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.4035 0.8566 0.000 0.784 0.000 0.156 0.060
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.1041 0.8615 0.000 0.964 0.032 0.000 0.004
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.3323 0.8644 0.000 0.844 0.000 0.100 0.056
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.1430 0.7959 0.000 0.052 0.004 0.944 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.8672 0.000 1.000 0.000 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.3953 0.8591 0.000 0.792 0.000 0.148 0.060
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.3390 0.8645 0.000 0.840 0.000 0.100 0.060
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0162 0.9461 0.996 0.000 0.000 0.000 0.004
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.3165 0.8709 0.000 0.848 0.000 0.116 0.036
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.5122 0.7007 0.000 0.628 0.000 0.312 0.060
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 5 0.3508 0.7565 0.252 0.000 0.000 0.000 0.748
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.1300 0.8573 0.000 0.956 0.016 0.028 0.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.3146 0.8679 0.000 0.856 0.000 0.092 0.052
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0162 0.8683 0.000 0.996 0.000 0.004 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 4 0.0880 0.7795 0.000 0.000 0.000 0.968 0.032
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0162 0.8683 0.000 0.996 0.000 0.004 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.3336 0.8653 0.000 0.844 0.000 0.096 0.060
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 4 0.2690 0.8086 0.000 0.000 0.156 0.844 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.4035 0.8566 0.000 0.784 0.000 0.156 0.060
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.3441 0.8686 0.000 0.848 0.008 0.088 0.056
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 4 0.0162 0.7952 0.000 0.004 0.000 0.996 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.3970 0.8580 0.000 0.788 0.000 0.156 0.056
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.0324 0.9868 0.000 0.004 0.992 0.000 0.004
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0162 0.8679 0.000 0.996 0.000 0.004 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 5 0.1671 0.9727 0.076 0.000 0.000 0.000 0.924
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.1364 0.8754 0.000 0.952 0.000 0.036 0.012
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.3366 0.7284 0.768 0.000 0.000 0.000 0.232
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.4956 0.6559 0.000 0.636 0.000 0.316 0.048
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.3390 0.8637 0.000 0.840 0.000 0.100 0.060
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0162 0.8664 0.000 0.996 0.000 0.000 0.004
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.1485 0.8634 0.000 0.948 0.020 0.032 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.3995 0.8582 0.000 0.788 0.000 0.152 0.060
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0162 0.9461 0.996 0.000 0.000 0.000 0.004
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.1493 0.8761 0.000 0.948 0.000 0.028 0.024
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.5679 0.7537 0.000 0.704 0.100 0.140 0.056
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 4 0.2690 0.8086 0.000 0.000 0.156 0.844 0.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 4 0.0162 0.7938 0.000 0.004 0.000 0.996 0.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 4 0.6366 0.5054 0.000 0.204 0.284 0.512 0.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 5 0.1544 0.9755 0.068 0.000 0.000 0.000 0.932
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.5468 0.6269 0.000 0.568 0.004 0.368 0.060
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.2852 0.8100 0.828 0.000 0.000 0.000 0.172
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.0162 0.8664 0.000 0.996 0.000 0.000 0.004
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.5764 0.7247 0.000 0.660 0.048 0.232 0.060
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 4 0.2690 0.8086 0.000 0.000 0.156 0.844 0.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.1270 0.8656 0.000 0.948 0.000 0.052 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.2852 0.8100 0.828 0.000 0.000 0.000 0.172
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.0290 0.9853 0.000 0.000 0.992 0.008 0.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 4 0.2605 0.8108 0.000 0.000 0.148 0.852 0.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 5 0.1544 0.9755 0.068 0.000 0.000 0.000 0.932
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 4 0.5130 0.6744 0.000 0.220 0.100 0.680 0.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 4 0.2605 0.8112 0.000 0.000 0.148 0.852 0.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.2280 0.8329 0.000 0.000 0.880 0.120 0.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.0162 0.8683 0.000 0.996 0.000 0.004 0.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 4 0.2732 0.8061 0.000 0.000 0.160 0.840 0.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.1270 0.8656 0.000 0.948 0.000 0.052 0.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.4035 0.8566 0.000 0.784 0.000 0.156 0.060
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 4 0.2690 0.8086 0.000 0.000 0.156 0.844 0.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.1270 0.8656 0.000 0.948 0.000 0.052 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.3442 0.8632 0.000 0.836 0.000 0.104 0.060
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.1270 0.8656 0.000 0.948 0.000 0.052 0.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0162 0.8683 0.000 0.996 0.000 0.004 0.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 4 0.4227 0.4296 0.000 0.000 0.420 0.580 0.000
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 4 0.0794 0.7986 0.000 0.028 0.000 0.972 0.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 5 0.1544 0.9755 0.068 0.000 0.000 0.000 0.932
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.4666 0.7590 0.000 0.704 0.000 0.240 0.056
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.0162 0.8664 0.000 0.996 0.000 0.000 0.004
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0162 0.9461 0.996 0.000 0.000 0.000 0.004
#> 74868C37-8143-4306-81CA-E45759D146CD 4 0.0609 0.8020 0.000 0.000 0.020 0.980 0.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.1502 0.8669 0.000 0.940 0.000 0.056 0.004
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0451 0.8692 0.000 0.988 0.000 0.004 0.008
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0000 0.9480 1.000 0.000 0.000 0.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.3555 0.8598 0.000 0.824 0.000 0.124 0.052
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.4434 0.7954 0.000 0.736 0.000 0.208 0.056
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.0807 0.8714 0.000 0.976 0.000 0.012 0.012
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.3622 0.8577 0.000 0.820 0.000 0.124 0.056
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 5 0.1544 0.9755 0.068 0.000 0.000 0.000 0.932
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.4557 0.7964 0.000 0.736 0.004 0.204 0.056
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.4035 0.8566 0.000 0.784 0.000 0.156 0.060
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.4035 0.8566 0.000 0.784 0.000 0.156 0.060
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.4035 0.8566 0.000 0.784 0.000 0.156 0.060
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 5 0.1732 0.9680 0.080 0.000 0.000 0.000 0.920
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 4 0.4705 0.6480 0.000 0.216 0.052 0.724 0.008
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 4 0.2690 0.8086 0.000 0.000 0.156 0.844 0.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.4152 0.8529 0.000 0.772 0.000 0.168 0.060
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0162 0.8679 0.000 0.996 0.000 0.004 0.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.0324 0.8657 0.000 0.992 0.004 0.000 0.004
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 4 0.1205 0.7989 0.000 0.040 0.004 0.956 0.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0290 0.9481 0.992 0.000 0.000 0.000 0.008
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> 23C937BB-BA20-4440-B680-914229CC3ADF 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 4 0.4967 0.3677 0.000 0.280 0.000 0.660 0.060
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 2 0.3430 0.7202 0.000 0.776 0.220 0.000 0.004
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0510 0.9430 0.984 0.000 0.000 0.000 0.016
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.3323 0.8644 0.000 0.844 0.000 0.100 0.056
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.8672 0.000 1.000 0.000 0.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 4 0.2974 0.8108 0.000 0.052 0.080 0.868 0.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 5 0.1608 0.9738 0.072 0.000 0.000 0.000 0.928
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.1430 0.8657 0.000 0.944 0.000 0.052 0.004
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.1341 0.8655 0.000 0.944 0.000 0.056 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 4 0.2690 0.8086 0.000 0.000 0.156 0.844 0.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 4 0.2690 0.8086 0.000 0.000 0.156 0.844 0.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 5 0.1544 0.9755 0.068 0.000 0.000 0.000 0.932
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 4 0.1270 0.7673 0.000 0.000 0.000 0.948 0.052
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.3983 0.5092 0.660 0.000 0.000 0.000 0.340
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.4400 0.8389 0.000 0.744 0.000 0.196 0.060
#> 30346897-EC77-4153-88A2-D14593C8B741 4 0.2690 0.8086 0.000 0.000 0.156 0.844 0.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 4 0.1732 0.8127 0.000 0.000 0.080 0.920 0.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 4 0.4035 0.6323 0.000 0.156 0.000 0.784 0.060
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.8672 0.000 1.000 0.000 0.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.1270 0.8656 0.000 0.948 0.000 0.052 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0162 0.8683 0.000 0.996 0.000 0.004 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.4035 0.8566 0.000 0.784 0.000 0.156 0.060
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0162 0.9461 0.996 0.000 0.000 0.000 0.004
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 4 0.2605 0.8112 0.000 0.000 0.148 0.852 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.4433 0.8339 0.000 0.740 0.000 0.200 0.060
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.3995 0.8579 0.000 0.788 0.000 0.152 0.060
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.8672 0.000 1.000 0.000 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 4 0.2690 0.8086 0.000 0.000 0.156 0.844 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0609 0.9416 0.980 0.000 0.000 0.000 0.020
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> A2792419-8E16-45FE-A524-17851F34AB9B 4 0.1670 0.7909 0.000 0.052 0.000 0.936 0.012
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0162 0.8664 0.000 0.996 0.000 0.000 0.004
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 4 0.2690 0.8086 0.000 0.000 0.156 0.844 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.0324 0.8677 0.000 0.992 0.000 0.004 0.004
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0162 0.8664 0.000 0.996 0.000 0.000 0.004
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 5 0.3508 0.7560 0.252 0.000 0.000 0.000 0.748
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.3196 0.7619 0.000 0.804 0.192 0.000 0.004
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.4035 0.8566 0.000 0.784 0.000 0.156 0.060
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.8672 0.000 1.000 0.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> 153BF804-6DC8-496B-987A-4021A2512211 4 0.2690 0.8086 0.000 0.000 0.156 0.844 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 4 0.3012 0.7919 0.000 0.104 0.036 0.860 0.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.3242 0.7525 0.784 0.000 0.000 0.000 0.216
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.4226 0.8486 0.000 0.764 0.000 0.176 0.060
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.3647 0.8661 0.000 0.816 0.000 0.132 0.052
#> E14825E0-0DC7-44C2-B265-F54672356838 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 5 0.3857 0.6256 0.312 0.000 0.000 0.000 0.688
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 4 0.0000 0.7945 0.000 0.000 0.000 1.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.4728 0.7577 0.000 0.700 0.000 0.240 0.060
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.4263 0.8469 0.000 0.760 0.000 0.180 0.060
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.5645 0.5666 0.000 0.536 0.008 0.396 0.060
#> B3527517-E339-46AE-8437-65303C309015 4 0.3130 0.8111 0.000 0.048 0.096 0.856 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.4075 0.8558 0.000 0.780 0.000 0.160 0.060
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0703 0.8601 0.000 0.976 0.024 0.000 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.4338 0.7474 0.000 0.764 0.188 0.020 0.028
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.1270 0.8656 0.000 0.948 0.000 0.052 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 5 0.1544 0.9755 0.068 0.000 0.000 0.000 0.932
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0162 0.8664 0.000 0.996 0.000 0.000 0.004
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.3442 0.8632 0.000 0.836 0.000 0.104 0.060
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 4 0.3661 0.6879 0.000 0.000 0.276 0.724 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.9942 0.000 0.000 1.000 0.000 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> FF00E80A-046D-4233-835E-CDF93403EA43 4 0.2690 0.8086 0.000 0.000 0.156 0.844 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 4 0.4886 0.2623 0.000 0.372 0.000 0.596 0.032
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.8672 0.000 1.000 0.000 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.4878 0.7831 0.000 0.676 0.000 0.264 0.060
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 4 0.1571 0.7595 0.000 0.004 0.000 0.936 0.060
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.3825 0.8636 0.000 0.804 0.000 0.136 0.060
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 5 0.1544 0.9755 0.068 0.000 0.000 0.000 0.932
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.5086 0.6702 0.000 0.636 0.000 0.304 0.060
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0162 0.9494 0.996 0.000 0.000 0.000 0.004
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 4 0.5369 -0.0403 0.000 0.388 0.000 0.552 0.060
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.2561 0.8393 0.856 0.000 0.000 0.000 0.144
#> CE91F591-6072-4D29-9495-C78961635969 2 0.1270 0.8656 0.000 0.948 0.000 0.052 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 5 0.1608 0.9771 0.072 0.000 0.000 0.000 0.928
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.4988 0.7612 0.000 0.656 0.000 0.284 0.060
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.8672 0.000 1.000 0.000 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 5 0.1544 0.9785 0.068 0.000 0.000 0.000 0.932
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.1270 0.8656 0.000 0.948 0.000 0.052 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.5086 0.7168 0.000 0.636 0.000 0.304 0.060
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0146 0.80257 0.000 0.996 0.000 0.000 0.004 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 5 0.1141 0.85627 0.000 0.052 0.000 0.000 0.948 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.2597 0.81547 0.824 0.000 0.000 0.000 0.000 0.176
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.4844 0.04441 0.000 0.504 0.000 0.440 0.056 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 4 0.0000 0.91120 0.000 0.000 0.000 1.000 0.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 4 0.0000 0.91120 0.000 0.000 0.000 1.000 0.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.0000 0.91120 0.000 0.000 0.000 1.000 0.000 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.2416 0.83559 0.844 0.000 0.000 0.000 0.000 0.156
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 6 0.0000 0.97992 0.000 0.000 0.000 0.000 0.000 1.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0363 0.98275 0.000 0.000 0.988 0.012 0.000 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0405 0.94321 0.988 0.000 0.008 0.000 0.000 0.004
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0260 0.98600 0.000 0.000 0.992 0.008 0.000 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0146 0.94893 0.996 0.000 0.000 0.000 0.000 0.004
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0458 0.94710 0.984 0.000 0.000 0.000 0.000 0.016
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 6 0.0260 0.97712 0.008 0.000 0.000 0.000 0.000 0.992
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0146 0.80257 0.000 0.996 0.000 0.000 0.004 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.4210 0.62447 0.000 0.672 0.000 0.040 0.288 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 4 0.0000 0.91120 0.000 0.000 0.000 1.000 0.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.3672 0.66529 0.000 0.688 0.000 0.008 0.304 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 5 0.3592 0.59047 0.000 0.344 0.000 0.000 0.656 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.3833 0.29392 0.000 0.556 0.000 0.000 0.444 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0260 0.95032 0.992 0.000 0.000 0.000 0.000 0.008
#> 7A813F60-A41E-4552-990E-F22287654C1D 5 0.1141 0.85627 0.000 0.052 0.000 0.000 0.948 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.94707 1.000 0.000 0.000 0.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.4957 0.37327 0.000 0.332 0.000 0.584 0.084 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 4 0.0458 0.90285 0.000 0.000 0.016 0.984 0.000 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.1007 0.92516 0.956 0.000 0.000 0.000 0.000 0.044
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.3797 -0.01385 0.000 0.580 0.000 0.000 0.420 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 6 0.0632 0.96016 0.024 0.000 0.000 0.000 0.000 0.976
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.80208 0.000 1.000 0.000 0.000 0.000 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 6 0.0000 0.97992 0.000 0.000 0.000 0.000 0.000 1.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 4 0.0000 0.91120 0.000 0.000 0.000 1.000 0.000 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.2632 0.82578 0.832 0.004 0.000 0.000 0.000 0.164
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 6 0.0260 0.97712 0.008 0.000 0.000 0.000 0.000 0.992
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 4 0.0000 0.91120 0.000 0.000 0.000 1.000 0.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.3023 0.70467 0.000 0.768 0.000 0.000 0.232 0.000
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#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.3706 0.47582 0.620 0.000 0.000 0.000 0.000 0.380
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.0000 0.99174 0.000 0.000 1.000 0.000 0.000 0.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 5 0.1141 0.85627 0.000 0.052 0.000 0.000 0.948 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 4 0.0000 0.91120 0.000 0.000 0.000 1.000 0.000 0.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 4 0.0000 0.91120 0.000 0.000 0.000 1.000 0.000 0.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 5 0.1141 0.85627 0.000 0.052 0.000 0.000 0.948 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0458 0.80135 0.000 0.984 0.000 0.000 0.016 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0260 0.95032 0.992 0.000 0.000 0.000 0.000 0.008
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 6 0.0000 0.97992 0.000 0.000 0.000 0.000 0.000 1.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 5 0.3843 0.39900 0.000 0.452 0.000 0.000 0.548 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0260 0.95032 0.992 0.000 0.000 0.000 0.000 0.008
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0146 0.80257 0.000 0.996 0.000 0.000 0.004 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0260 0.95032 0.992 0.000 0.000 0.000 0.000 0.008
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 5 0.1141 0.85627 0.000 0.052 0.000 0.000 0.948 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.0000 0.99174 0.000 0.000 1.000 0.000 0.000 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.0000 0.99174 0.000 0.000 1.000 0.000 0.000 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.94707 1.000 0.000 0.000 0.000 0.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 4 0.0000 0.91120 0.000 0.000 0.000 1.000 0.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 5 0.2527 0.78187 0.000 0.168 0.000 0.000 0.832 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 5 0.2854 0.71038 0.000 0.208 0.000 0.000 0.792 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0363 0.80187 0.000 0.988 0.000 0.000 0.012 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0000 0.99174 0.000 0.000 1.000 0.000 0.000 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 4 0.0000 0.91120 0.000 0.000 0.000 1.000 0.000 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0632 0.94347 0.976 0.000 0.000 0.000 0.000 0.024
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 6 0.0000 0.97992 0.000 0.000 0.000 0.000 0.000 1.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 4 0.1967 0.84594 0.000 0.012 0.000 0.904 0.084 0.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0146 0.80257 0.000 0.996 0.000 0.000 0.004 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 4 0.0000 0.91120 0.000 0.000 0.000 1.000 0.000 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.0000 0.80208 0.000 1.000 0.000 0.000 0.000 0.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0260 0.95032 0.992 0.000 0.000 0.000 0.000 0.008
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0000 0.80208 0.000 1.000 0.000 0.000 0.000 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 6 0.2664 0.77557 0.184 0.000 0.000 0.000 0.000 0.816
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 6 0.0000 0.97992 0.000 0.000 0.000 0.000 0.000 1.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.0458 0.79809 0.000 0.984 0.016 0.000 0.000 0.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 5 0.1141 0.85627 0.000 0.052 0.000 0.000 0.948 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0363 0.80187 0.000 0.988 0.000 0.000 0.012 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 6 0.0000 0.97992 0.000 0.000 0.000 0.000 0.000 1.000
#> 153BF804-6DC8-496B-987A-4021A2512211 4 0.0000 0.91120 0.000 0.000 0.000 1.000 0.000 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 4 0.1285 0.88277 0.000 0.004 0.000 0.944 0.052 0.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.2969 0.75538 0.776 0.000 0.000 0.000 0.000 0.224
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 5 0.1141 0.85627 0.000 0.052 0.000 0.000 0.948 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 5 0.1910 0.83745 0.000 0.108 0.000 0.000 0.892 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 6 0.0000 0.97992 0.000 0.000 0.000 0.000 0.000 1.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0260 0.95032 0.992 0.000 0.000 0.000 0.000 0.008
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0000 0.99174 0.000 0.000 1.000 0.000 0.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 6 0.3101 0.65964 0.244 0.000 0.000 0.000 0.000 0.756
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 4 0.2048 0.83392 0.000 0.000 0.000 0.880 0.120 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.0000 0.99174 0.000 0.000 1.000 0.000 0.000 0.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.4808 0.48191 0.000 0.576 0.000 0.064 0.360 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0260 0.95032 0.992 0.000 0.000 0.000 0.000 0.008
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 5 0.1141 0.85627 0.000 0.052 0.000 0.000 0.948 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 5 0.2842 0.71693 0.000 0.104 0.000 0.044 0.852 0.000
#> B3527517-E339-46AE-8437-65303C309015 4 0.0000 0.91120 0.000 0.000 0.000 1.000 0.000 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 5 0.1204 0.85568 0.000 0.056 0.000 0.000 0.944 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0405 0.80090 0.000 0.988 0.008 0.000 0.004 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.3753 0.74330 0.000 0.788 0.040 0.016 0.156 0.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 5 0.3843 0.39900 0.000 0.452 0.000 0.000 0.548 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 6 0.0260 0.97712 0.008 0.000 0.000 0.000 0.000 0.992
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0000 0.80208 0.000 1.000 0.000 0.000 0.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 5 0.3409 0.53836 0.000 0.300 0.000 0.000 0.700 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 4 0.2416 0.78617 0.000 0.000 0.156 0.844 0.000 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.99174 0.000 0.000 1.000 0.000 0.000 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0260 0.95032 0.992 0.000 0.000 0.000 0.000 0.008
#> FF00E80A-046D-4233-835E-CDF93403EA43 4 0.0000 0.91120 0.000 0.000 0.000 1.000 0.000 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 4 0.5495 0.31823 0.000 0.304 0.000 0.540 0.156 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0146 0.80257 0.000 0.996 0.000 0.000 0.004 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 5 0.0146 0.81259 0.000 0.000 0.000 0.004 0.996 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 6 0.0000 0.97992 0.000 0.000 0.000 0.000 0.000 1.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 5 0.1267 0.80305 0.000 0.000 0.000 0.060 0.940 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 5 0.1610 0.84653 0.000 0.084 0.000 0.000 0.916 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 6 0.0260 0.97712 0.008 0.000 0.000 0.000 0.000 0.992
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.5071 0.37353 0.000 0.520 0.000 0.080 0.400 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0260 0.95032 0.992 0.000 0.000 0.000 0.000 0.008
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 5 0.1141 0.85627 0.000 0.052 0.000 0.000 0.948 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.2260 0.85026 0.860 0.000 0.000 0.000 0.000 0.140
#> CE91F591-6072-4D29-9495-C78961635969 2 0.3789 0.01314 0.000 0.584 0.000 0.000 0.416 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 6 0.0000 0.97992 0.000 0.000 0.000 0.000 0.000 1.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 6 0.0146 0.97863 0.004 0.000 0.000 0.000 0.000 0.996
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 5 0.1265 0.85066 0.000 0.044 0.000 0.008 0.948 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0363 0.80187 0.000 0.988 0.000 0.000 0.012 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 6 0.0000 0.97992 0.000 0.000 0.000 0.000 0.000 1.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 5 0.3817 0.44011 0.000 0.432 0.000 0.000 0.568 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 5 0.1141 0.85627 0.000 0.052 0.000 0.000 0.948 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "mclust"]
# you can also extract it by
# res = res_list["SD:mclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17288 rows and 266 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.999 1.000 0.4341 0.566 0.566
#> 3 3 0.670 0.750 0.812 0.3608 0.876 0.782
#> 4 4 0.651 0.708 0.844 0.1555 0.800 0.571
#> 5 5 0.633 0.615 0.799 0.0663 0.952 0.844
#> 6 6 0.661 0.605 0.774 0.0466 0.949 0.827
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.000 1.000 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.000 1.000 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.000 0.999 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.000 1.000 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.000 1.000 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.000 1.000 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.000 1.000 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.000 0.999 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.000 0.999 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.000 1.000 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.204 0.968 0.968 0.032
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.000 1.000 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.184 0.972 0.972 0.028
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.000 0.999 1.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.000 0.999 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.000 1.000 0.000 1.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.000 1.000 0.000 1.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.000 1.000 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.000 1.000 0.000 1.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.000 1.000 0.000 1.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.000 1.000 0.000 1.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.000 0.999 1.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.000 1.000 0.000 1.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.000 0.999 1.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.000 1.000 0.000 1.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.000 1.000 0.000 1.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.000 0.999 1.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.000 1.000 0.000 1.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.000 0.999 1.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.000 1.000 0.000 1.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.000 0.999 1.000 0.000
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#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.000 1.000 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.000 0.999 1.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.000 1.000 0.000 1.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.000 1.000 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.000 1.000 0.000 1.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.000 0.999 1.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.000 1.000 0.000 1.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.000 1.000 0.000 1.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.000 1.000 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.000 1.000 0.000 1.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.000 1.000 0.000 1.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.000 1.000 0.000 1.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.000 1.000 0.000 1.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.000 0.999 1.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.000 1.000 0.000 1.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.000 1.000 0.000 1.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.000 1.000 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.000 1.000 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.000 0.999 1.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.000 1.000 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.000 1.000 0.000 1.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.000 1.000 0.000 1.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.000 1.000 0.000 1.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.000 0.999 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.000 1.000 0.000 1.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.000 1.000 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.000 0.999 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.000 1.000 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.000 0.999 1.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.000 1.000 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.000 0.999 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.000 1.000 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.000 0.999 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.000 0.999 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.000 1.000 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.000 1.000 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.000 0.999 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.000 1.000 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.000 1.000 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0592 0.7587 0.000 0.988 0.012
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.7667 0.000 1.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9892 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 3 0.6286 0.3631 0.000 0.464 0.536
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.5529 0.7051 0.000 0.704 0.296
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.5529 0.7051 0.000 0.704 0.296
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.6305 -0.3162 0.000 0.484 0.516
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.9892 1.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9892 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.5497 0.4175 0.000 0.292 0.708
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 3 0.5244 0.4774 0.240 0.004 0.756
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.1529 0.6675 0.000 0.040 0.960
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 3 0.5244 0.4774 0.240 0.004 0.756
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9892 1.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9892 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0592 0.7587 0.000 0.988 0.012
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0892 0.7682 0.000 0.980 0.020
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.5529 0.7051 0.000 0.704 0.296
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.2711 0.7642 0.000 0.912 0.088
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.7667 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.7667 0.000 1.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.9892 1.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.7667 0.000 1.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.9892 1.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.3879 0.7566 0.000 0.848 0.152
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.5560 0.7018 0.000 0.700 0.300
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.9892 1.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.7667 0.000 1.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.9892 1.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.6267 -0.0602 0.000 0.548 0.452
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.9892 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.6309 0.3454 0.000 0.504 0.496
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 3 0.6783 0.1962 0.396 0.016 0.588
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.9892 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.4504 0.7475 0.000 0.804 0.196
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 3 0.4121 0.7168 0.000 0.168 0.832
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.4504 0.7472 0.000 0.804 0.196
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.4121 0.7168 0.000 0.168 0.832
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 3 0.4121 0.7168 0.000 0.168 0.832
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.9892 1.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.5706 0.6833 0.000 0.680 0.320
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9892 1.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.7667 0.000 1.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.3816 0.5748 0.000 0.852 0.148
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.4399 0.5483 0.000 0.812 0.188
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.6299 0.3658 0.000 0.524 0.476
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0592 0.7587 0.000 0.988 0.012
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.4235 0.5547 0.000 0.824 0.176
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.6286 -0.1098 0.000 0.536 0.464
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.9892 1.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0424 0.7616 0.000 0.992 0.008
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0747 0.7673 0.000 0.984 0.016
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.9892 1.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.9892 1.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.5678 0.4249 0.000 0.316 0.684
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.4178 0.7517 0.000 0.828 0.172
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.9892 1.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0592 0.7642 0.000 0.988 0.012
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.4399 0.7487 0.000 0.812 0.188
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.7667 0.000 1.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.7667 0.000 1.000 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.5529 0.7051 0.000 0.704 0.296
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.7667 0.000 1.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 3 0.4121 0.7168 0.000 0.168 0.832
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.4605 0.7450 0.000 0.796 0.204
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0237 0.7674 0.000 0.996 0.004
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.4121 0.7168 0.000 0.168 0.832
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.4605 0.5034 0.000 0.796 0.204
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.9892 1.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0592 0.7587 0.000 0.988 0.012
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.9892 1.000 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.9892 1.000 0.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.5733 0.6788 0.000 0.676 0.324
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.6302 0.3548 0.000 0.520 0.480
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.0237 0.7674 0.000 0.996 0.004
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.9892 1.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0592 0.7587 0.000 0.988 0.012
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.1411 0.6673 0.000 0.036 0.964
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.7667 0.000 1.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 2 0.6225 0.4809 0.000 0.568 0.432
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.7667 0.000 1.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.6204 0.3539 0.576 0.000 0.424
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.5650 0.6916 0.000 0.688 0.312
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0592 0.7587 0.000 0.988 0.012
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 0.9892 1.000 0.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.5138 0.7258 0.000 0.748 0.252
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.5560 0.7025 0.000 0.700 0.300
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 3 0.3752 0.6303 0.000 0.144 0.856
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.5327 0.7148 0.000 0.728 0.272
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.5591 0.6988 0.000 0.696 0.304
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0.5591 0.6988 0.000 0.696 0.304
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.9892 1.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.4291 0.7498 0.000 0.820 0.180
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0000 0.9892 1.000 0.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.9892 1.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.5591 0.6988 0.000 0.696 0.304
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0.5706 0.6833 0.000 0.680 0.320
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 0.9892 1.000 0.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.5988 0.1718 0.000 0.632 0.368
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.9892 1.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.6291 0.3866 0.000 0.532 0.468
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.5529 0.7051 0.000 0.704 0.296
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.9892 1.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.7667 0.000 1.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.1753 0.9432 0.952 0.000 0.048
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.6305 -0.2174 0.000 0.484 0.516
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.4842 0.7385 0.000 0.776 0.224
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.9892 1.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 2 0.6309 0.3454 0.000 0.504 0.496
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.5529 0.7051 0.000 0.704 0.296
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0.5591 0.6988 0.000 0.696 0.304
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0000 0.9892 1.000 0.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.9892 1.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0000 0.9892 1.000 0.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.5254 0.7199 0.000 0.736 0.264
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.5621 0.6953 0.000 0.692 0.308
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.1031 0.7640 0.000 0.976 0.024
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.5431 0.7105 0.000 0.716 0.284
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.4235 0.5207 0.000 0.824 0.176
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.5733 0.6788 0.000 0.676 0.324
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.5882 0.5166 0.000 0.652 0.348
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.5591 0.3946 0.000 0.304 0.696
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.5529 0.7051 0.000 0.704 0.296
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.7667 0.000 1.000 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.5706 0.5374 0.000 0.680 0.320
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0592 0.7587 0.000 0.988 0.012
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0000 0.7667 0.000 1.000 0.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0.5560 0.7018 0.000 0.700 0.300
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.9892 1.000 0.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.5529 0.7051 0.000 0.704 0.296
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.5138 0.4903 0.000 0.252 0.748
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.9892 1.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.6267 0.4035 0.000 0.548 0.452
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 3 0.4121 0.7168 0.000 0.168 0.832
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0000 0.9892 1.000 0.000 0.000
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.4555 0.7461 0.000 0.800 0.200
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0592 0.7587 0.000 0.988 0.012
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.9892 1.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0592 0.7587 0.000 0.988 0.012
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0000 0.9892 1.000 0.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.4931 0.7353 0.000 0.768 0.232
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.4452 0.7480 0.000 0.808 0.192
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 3 0.4121 0.7168 0.000 0.168 0.832
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.4452 0.7487 0.000 0.808 0.192
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.9892 1.000 0.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0000 0.9892 1.000 0.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.4235 0.7507 0.000 0.824 0.176
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.7667 0.000 1.000 0.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0.5560 0.7025 0.000 0.700 0.300
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.7667 0.000 1.000 0.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.1289 0.6752 0.000 0.032 0.968
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0000 0.9892 1.000 0.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.7667 0.000 1.000 0.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.9892 1.000 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.9892 1.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.3340 0.7606 0.000 0.880 0.120
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0000 0.9892 1.000 0.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.5529 0.7051 0.000 0.704 0.296
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.0747 0.7682 0.000 0.984 0.016
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0424 0.7676 0.000 0.992 0.008
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 3 0.4121 0.7168 0.000 0.168 0.832
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.9892 1.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 0.9892 1.000 0.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.5529 0.7051 0.000 0.704 0.296
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0.5591 0.6988 0.000 0.696 0.304
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0000 0.9892 1.000 0.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.9892 1.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.9892 1.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0000 0.7667 0.000 1.000 0.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 3 0.4121 0.7168 0.000 0.168 0.832
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 0.9892 1.000 0.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.0237 0.7674 0.000 0.996 0.004
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0237 0.7643 0.000 0.996 0.004
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 3 0.6309 -0.3502 0.000 0.496 0.504
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.9892 1.000 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.9892 1.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.7667 0.000 1.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.7667 0.000 1.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.5560 0.7018 0.000 0.700 0.300
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0000 0.9892 1.000 0.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.5529 0.7051 0.000 0.704 0.296
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.9892 1.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.4504 0.7472 0.000 0.804 0.196
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0000 0.9892 1.000 0.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.5621 0.6953 0.000 0.692 0.308
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0000 0.7667 0.000 1.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.5529 0.7051 0.000 0.704 0.296
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.5529 0.7051 0.000 0.704 0.296
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.7667 0.000 1.000 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.7667 0.000 1.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.9892 1.000 0.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.9892 1.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.7667 0.000 1.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0000 0.9892 1.000 0.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0892 0.7597 0.000 0.980 0.020
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 0.9892 1.000 0.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0592 0.7681 0.000 0.988 0.012
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.5650 0.6916 0.000 0.688 0.312
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.5560 0.7018 0.000 0.700 0.300
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.9892 1.000 0.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.5254 0.7199 0.000 0.736 0.264
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.7667 0.000 1.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.7667 0.000 1.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0592 0.7587 0.000 0.988 0.012
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.5591 0.6988 0.000 0.696 0.304
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.5497 0.7071 0.000 0.708 0.292
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.9892 1.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.9892 1.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.6309 0.3276 0.000 0.504 0.496
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.1529 0.7328 0.000 0.960 0.040
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.5529 0.7051 0.000 0.704 0.296
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.6235 0.0266 0.000 0.564 0.436
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.6095 0.4247 0.608 0.000 0.392
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 3 0.4121 0.7168 0.000 0.168 0.832
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.9892 1.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.9892 1.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.5948 0.2815 0.000 0.640 0.360
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.7667 0.000 1.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0592 0.7587 0.000 0.988 0.012
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.9892 1.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.5560 0.7018 0.000 0.700 0.300
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.5216 0.7215 0.000 0.740 0.260
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0424 0.9820 0.992 0.000 0.008
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.7667 0.000 1.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.7667 0.000 1.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9892 1.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.9892 1.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.5591 0.6988 0.000 0.696 0.304
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.9892 1.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.4504 0.7475 0.000 0.804 0.196
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.5138 0.5466 0.000 0.252 0.748
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.6274 0.3819 0.000 0.544 0.456
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.9892 1.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.7667 0.000 1.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.4796 0.7417 0.000 0.780 0.220
#> B3527517-E339-46AE-8437-65303C309015 2 0.6307 0.3672 0.000 0.512 0.488
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0237 0.7674 0.000 0.996 0.004
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 3 0.6026 0.5153 0.000 0.376 0.624
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.5363 0.7124 0.000 0.724 0.276
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.7667 0.000 1.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9892 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 3 0.4121 0.7168 0.000 0.168 0.832
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.7667 0.000 1.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.5733 0.6786 0.000 0.676 0.324
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.5431 0.7090 0.000 0.716 0.284
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.9892 1.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.5560 0.7018 0.000 0.700 0.300
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0424 0.7676 0.000 0.992 0.008
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0747 0.7554 0.000 0.984 0.016
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0747 0.7683 0.000 0.984 0.016
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9892 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.4452 0.7486 0.000 0.808 0.192
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.7667 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9892 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 3 0.6299 -0.2408 0.000 0.476 0.524
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.9892 1.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.7667 0.000 1.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.9892 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.7667 0.000 1.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9892 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9892 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.7667 0.000 1.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0237 0.7643 0.000 0.996 0.004
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9892 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.7667 0.000 1.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.7667 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.1792 0.7850 0.000 0.932 0.000 0.068
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.8258 0.000 1.000 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 4 0.6514 0.5390 0.000 0.152 0.212 0.636
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.4925 0.5806 0.000 0.428 0.572 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.4790 0.6622 0.000 0.380 0.620 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.4222 0.7487 0.000 0.272 0.728 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.2334 0.3664 0.000 0.004 0.908 0.088
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 4 0.5056 0.6390 0.044 0.000 0.224 0.732
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.4866 -0.3639 0.000 0.000 0.596 0.404
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 4 0.5056 0.6390 0.044 0.000 0.224 0.732
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.1792 0.7854 0.000 0.932 0.000 0.068
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0188 0.8240 0.000 0.996 0.004 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.4382 0.7408 0.000 0.296 0.704 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.4477 0.2936 0.000 0.688 0.312 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0469 0.8240 0.000 0.988 0.000 0.012
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.8258 0.000 1.000 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.2101 0.9338 0.928 0.000 0.012 0.060
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0188 0.8240 0.000 0.996 0.004 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0937 0.9584 0.976 0.000 0.012 0.012
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.3837 0.5359 0.000 0.776 0.224 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.4164 0.7497 0.000 0.264 0.736 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0817 0.8205 0.000 0.976 0.000 0.024
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.3037 0.9056 0.880 0.000 0.020 0.100
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 4 0.6711 0.4737 0.000 0.116 0.308 0.576
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0188 0.9667 0.996 0.000 0.000 0.004
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.4222 0.7487 0.000 0.272 0.728 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 4 0.3808 0.5909 0.176 0.000 0.012 0.812
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0188 0.9667 0.996 0.000 0.000 0.004
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.4134 0.4550 0.000 0.740 0.260 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.4936 0.5987 0.000 0.012 0.316 0.672
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.3907 0.5120 0.000 0.768 0.232 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 4 0.4819 0.6531 0.000 0.004 0.344 0.652
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 4 0.2530 0.7294 0.000 0.004 0.100 0.896
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.3037 0.9056 0.880 0.000 0.020 0.100
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.1824 0.5484 0.000 0.060 0.936 0.004
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9680 1.000 0.000 0.000 0.000
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#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.4594 0.7470 0.000 0.280 0.712 0.008
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.2814 0.7175 0.000 0.868 0.000 0.132
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.4790 0.6633 0.000 0.380 0.620 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 4 0.7340 0.3174 0.000 0.176 0.324 0.500
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 4 0.5292 -0.1634 0.480 0.000 0.008 0.512
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 4 0.2530 0.7294 0.000 0.004 0.100 0.896
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.3037 0.9056 0.880 0.000 0.020 0.100
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.7693 -0.0294 0.000 0.424 0.224 0.352
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.8258 0.000 1.000 0.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0921 0.8180 0.000 0.972 0.000 0.028
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.4406 0.7368 0.000 0.300 0.700 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.5987 -0.3031 0.000 0.520 0.440 0.040
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.3852 0.8306 0.808 0.000 0.012 0.180
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.8258 0.000 1.000 0.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.8258 0.000 1.000 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.2053 0.5664 0.000 0.072 0.924 0.004
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0188 0.9667 0.996 0.000 0.000 0.004
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.4193 0.4351 0.000 0.732 0.268 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 4 0.7003 0.3644 0.000 0.124 0.368 0.508
#> CAE8097F-A139-4C6E-9E30-35080475FF34 3 0.5417 0.5982 0.000 0.412 0.572 0.016
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.3037 0.9056 0.880 0.000 0.020 0.100
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.8258 0.000 1.000 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.4916 -0.1849 0.000 0.576 0.424 0.000
#> B3527517-E339-46AE-8437-65303C309015 3 0.4277 0.7463 0.000 0.280 0.720 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.8258 0.000 1.000 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 4 0.7001 0.4679 0.000 0.140 0.316 0.544
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.5093 0.6988 0.000 0.348 0.640 0.012
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.8258 0.000 1.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 4 0.2530 0.7294 0.000 0.004 0.100 0.896
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.8258 0.000 1.000 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.4134 0.7485 0.000 0.260 0.740 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.5279 0.7236 0.000 0.232 0.716 0.052
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.3037 0.9056 0.880 0.000 0.020 0.100
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.4193 0.7493 0.000 0.268 0.732 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.2149 0.7461 0.000 0.912 0.088 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0817 0.8205 0.000 0.976 0.000 0.024
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0469 0.8194 0.000 0.988 0.012 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.3942 0.5027 0.000 0.764 0.236 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.8258 0.000 1.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0336 0.9652 0.992 0.000 0.008 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 3 0.6295 0.6537 0.000 0.348 0.580 0.072
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.8258 0.000 1.000 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0817 0.8205 0.000 0.976 0.000 0.024
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.8258 0.000 1.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0707 0.8219 0.000 0.980 0.000 0.020
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9680 1.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0817 0.8205 0.000 0.976 0.000 0.024
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0188 0.8240 0.000 0.996 0.004 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0992 0.8072 0.000 0.968 0.024 0.000 0.008
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0703 0.8124 0.000 0.976 0.000 0.000 0.024
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9041 1.000 0.000 0.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 4 0.7868 0.1633 0.000 0.276 0.180 0.436 0.108
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.3715 0.5762 0.000 0.260 0.736 0.000 0.004
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.3852 0.5962 0.000 0.220 0.760 0.000 0.020
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.2304 0.5705 0.000 0.100 0.892 0.008 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0963 0.9011 0.964 0.000 0.000 0.000 0.036
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0162 0.9044 0.996 0.000 0.000 0.000 0.004
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 5 0.6705 0.7912 0.000 0.008 0.400 0.180 0.412
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 4 0.5262 0.2655 0.028 0.000 0.012 0.552 0.408
#> 844E4CCD-D30C-416F-A086-8923711A4E25 4 0.6358 -0.1349 0.000 0.000 0.180 0.492 0.328
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 4 0.5262 0.2655 0.028 0.000 0.012 0.552 0.408
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9041 1.000 0.000 0.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0404 0.9040 0.988 0.000 0.000 0.000 0.012
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.2077 0.7700 0.000 0.908 0.084 0.000 0.008
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.1893 0.7962 0.000 0.928 0.024 0.000 0.048
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.3205 0.6001 0.000 0.176 0.816 0.004 0.004
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.4985 0.5450 0.000 0.680 0.244 0.000 0.076
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0451 0.8125 0.000 0.988 0.000 0.004 0.008
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0510 0.8142 0.000 0.984 0.000 0.000 0.016
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.2424 0.8658 0.868 0.000 0.000 0.000 0.132
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0955 0.8119 0.000 0.968 0.000 0.004 0.028
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.2280 0.8717 0.880 0.000 0.000 0.000 0.120
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.5666 0.4945 0.000 0.640 0.240 0.008 0.112
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.2408 0.5657 0.000 0.096 0.892 0.008 0.004
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.9041 1.000 0.000 0.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0290 0.8127 0.000 0.992 0.000 0.000 0.008
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.3895 0.7433 0.680 0.000 0.000 0.000 0.320
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 4 0.6295 0.1791 0.000 0.140 0.252 0.588 0.020
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0609 0.9032 0.980 0.000 0.000 0.000 0.020
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.2304 0.5705 0.000 0.100 0.892 0.008 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 4 0.4791 0.3834 0.100 0.000 0.004 0.736 0.160
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0703 0.9037 0.976 0.000 0.000 0.000 0.024
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.5373 0.4885 0.000 0.652 0.236 0.000 0.112
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.4501 0.3282 0.000 0.012 0.212 0.740 0.036
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.4819 0.6222 0.000 0.736 0.148 0.004 0.112
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 4 0.5740 0.1862 0.000 0.000 0.128 0.600 0.272
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 4 0.1018 0.5290 0.000 0.000 0.016 0.968 0.016
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.3876 0.7500 0.684 0.000 0.000 0.000 0.316
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.4801 -0.3080 0.000 0.012 0.584 0.008 0.396
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9041 1.000 0.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0451 0.8136 0.000 0.988 0.000 0.004 0.008
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.5132 0.5920 0.000 0.712 0.184 0.092 0.012
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.4944 0.3885 0.000 0.620 0.344 0.004 0.032
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.6408 0.5019 0.000 0.276 0.580 0.036 0.108
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.2017 0.7731 0.000 0.912 0.080 0.000 0.008
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.4243 0.6584 0.000 0.772 0.168 0.056 0.004
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 4 0.6712 0.1692 0.000 0.160 0.256 0.552 0.032
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.2516 0.8622 0.860 0.000 0.000 0.000 0.140
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.1764 0.7849 0.000 0.928 0.064 0.000 0.008
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0727 0.8144 0.000 0.980 0.004 0.004 0.012
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.1043 0.9008 0.960 0.000 0.000 0.000 0.040
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0162 0.9035 0.996 0.000 0.000 0.000 0.004
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.8207 -0.1827 0.000 0.336 0.256 0.296 0.112
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.6141 -0.0776 0.000 0.460 0.424 0.004 0.112
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0162 0.9044 0.996 0.000 0.000 0.000 0.004
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.4260 0.5494 0.000 0.720 0.256 0.004 0.020
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.5227 0.5348 0.000 0.676 0.208 0.000 0.116
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0510 0.8142 0.000 0.984 0.000 0.000 0.016
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0404 0.8131 0.000 0.988 0.000 0.000 0.012
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.3809 0.5774 0.000 0.256 0.736 0.000 0.008
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.8140 0.000 1.000 0.000 0.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 4 0.4532 0.3246 0.000 0.012 0.216 0.736 0.036
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.5373 0.4885 0.000 0.652 0.236 0.000 0.112
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0727 0.8139 0.000 0.980 0.004 0.004 0.012
#> CF629C65-585D-476D-B081-3E6E0575FAE3 4 0.0510 0.5311 0.000 0.000 0.016 0.984 0.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.5535 0.4865 0.000 0.620 0.108 0.272 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0162 0.9035 0.996 0.000 0.000 0.000 0.004
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0290 0.8127 0.000 0.992 0.000 0.000 0.008
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0794 0.9036 0.972 0.000 0.000 0.000 0.028
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.3816 0.7548 0.696 0.000 0.000 0.000 0.304
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.4801 -0.3080 0.000 0.012 0.584 0.008 0.396
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.5862 0.5059 0.000 0.264 0.616 0.012 0.108
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.1943 0.7922 0.000 0.924 0.056 0.000 0.020
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0290 0.9043 0.992 0.000 0.000 0.000 0.008
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.3129 0.6978 0.000 0.832 0.156 0.004 0.008
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 4 0.6118 0.0553 0.000 0.000 0.164 0.548 0.288
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0566 0.8127 0.000 0.984 0.012 0.000 0.004
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.6523 0.1359 0.000 0.060 0.616 0.196 0.128
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0771 0.8127 0.000 0.976 0.000 0.004 0.020
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.7059 0.1906 0.408 0.000 0.012 0.304 0.276
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.4574 -0.1173 0.000 0.012 0.652 0.008 0.328
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0290 0.8127 0.000 0.992 0.000 0.000 0.008
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.4101 0.7005 0.628 0.000 0.000 0.000 0.372
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.6024 -0.0328 0.000 0.472 0.412 0.000 0.116
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.6174 0.5149 0.000 0.236 0.556 0.000 0.208
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 4 0.7080 0.2500 0.000 0.180 0.116 0.576 0.128
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.6879 0.5202 0.000 0.172 0.552 0.044 0.232
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.5311 0.4354 0.000 0.116 0.692 0.008 0.184
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.4265 0.0609 0.000 0.012 0.712 0.008 0.268
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0162 0.9035 0.996 0.000 0.000 0.000 0.004
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.5442 0.4961 0.000 0.644 0.240 0.000 0.116
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.4060 0.7120 0.640 0.000 0.000 0.000 0.360
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.9041 1.000 0.000 0.000 0.000 0.000
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#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.2078 0.7944 0.000 0.924 0.036 0.004 0.036
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9041 1.000 0.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.4169 0.6736 0.000 0.784 0.100 0.000 0.116
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0771 0.8127 0.000 0.976 0.000 0.004 0.020
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.1608 0.8915 0.928 0.000 0.000 0.000 0.072
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 3 0.6595 0.4615 0.000 0.232 0.596 0.060 0.112
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.1732 0.8886 0.920 0.000 0.000 0.000 0.080
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0865 0.8121 0.000 0.972 0.000 0.004 0.024
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0404 0.9046 0.988 0.000 0.000 0.000 0.012
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0404 0.8133 0.000 0.988 0.000 0.000 0.012
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9041 1.000 0.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9041 1.000 0.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0703 0.8124 0.000 0.976 0.000 0.000 0.024
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0404 0.8131 0.000 0.988 0.000 0.000 0.012
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0290 0.9042 0.992 0.000 0.000 0.000 0.008
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0162 0.8134 0.000 0.996 0.000 0.000 0.004
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0865 0.8121 0.000 0.972 0.000 0.004 0.024
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.1555 0.8068 0.000 0.940 0.000 0.012 0.008 0.040
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.1088 0.8133 0.000 0.960 0.000 0.016 0.000 0.024
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.8427 1.000 0.000 0.000 0.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 5 0.6186 0.3806 0.000 0.116 0.056 0.148 0.640 0.040
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.3677 0.5792 0.000 0.124 0.800 0.068 0.000 0.008
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.3338 0.5965 0.000 0.096 0.832 0.064 0.004 0.004
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.1608 0.5912 0.000 0.004 0.940 0.016 0.004 0.036
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.1152 0.8321 0.952 0.000 0.000 0.004 0.000 0.044
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0790 0.8422 0.968 0.000 0.000 0.000 0.000 0.032
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.4847 0.0852 0.000 0.000 0.500 0.444 0.056 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 4 0.6631 0.3754 0.032 0.000 0.000 0.400 0.252 0.316
#> 844E4CCD-D30C-416F-A086-8923711A4E25 4 0.5168 0.5711 0.000 0.000 0.116 0.652 0.216 0.016
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 4 0.6631 0.3754 0.032 0.000 0.000 0.400 0.252 0.316
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0363 0.8391 0.988 0.000 0.000 0.000 0.000 0.012
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.1285 0.8400 0.944 0.000 0.000 0.004 0.000 0.052
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.2095 0.8035 0.000 0.920 0.020 0.008 0.012 0.040
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.2715 0.7873 0.000 0.872 0.012 0.088 0.000 0.028
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.1931 0.6150 0.000 0.040 0.924 0.028 0.004 0.004
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.5550 0.5991 0.000 0.640 0.152 0.172 0.000 0.036
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0146 0.8145 0.000 0.996 0.000 0.000 0.000 0.004
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0935 0.8144 0.000 0.964 0.000 0.032 0.000 0.004
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.2738 0.7022 0.820 0.000 0.000 0.004 0.000 0.176
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.1765 0.8069 0.000 0.924 0.000 0.052 0.000 0.024
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.2668 0.7219 0.828 0.000 0.000 0.004 0.000 0.168
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.5711 0.4881 0.000 0.592 0.212 0.176 0.000 0.020
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.0837 0.6021 0.000 0.004 0.972 0.020 0.004 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0146 0.8441 0.996 0.000 0.000 0.004 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0862 0.8136 0.000 0.972 0.000 0.008 0.004 0.016
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.3995 -0.6905 0.516 0.000 0.000 0.004 0.000 0.480
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 5 0.6486 0.3058 0.000 0.100 0.256 0.080 0.552 0.012
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.1663 0.8142 0.912 0.000 0.000 0.000 0.000 0.088
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.1514 0.5937 0.000 0.004 0.944 0.012 0.004 0.036
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 5 0.7279 -0.1500 0.140 0.000 0.000 0.192 0.416 0.252
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.2100 0.7889 0.884 0.000 0.000 0.004 0.000 0.112
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.5731 0.5182 0.000 0.608 0.204 0.156 0.000 0.032
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 5 0.6148 0.0765 0.000 0.000 0.276 0.104 0.552 0.068
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.5938 0.5248 0.000 0.580 0.160 0.224 0.000 0.036
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 4 0.5007 0.5522 0.000 0.000 0.044 0.604 0.328 0.024
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 5 0.0508 0.3841 0.000 0.000 0.012 0.004 0.984 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 6 0.3966 0.7871 0.444 0.000 0.000 0.004 0.000 0.552
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.4273 0.3847 0.000 0.004 0.616 0.364 0.008 0.008
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0458 0.8393 0.984 0.000 0.000 0.000 0.000 0.016
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0405 0.8149 0.000 0.988 0.000 0.008 0.000 0.004
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.6032 0.4535 0.000 0.612 0.208 0.016 0.124 0.040
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.4910 0.3821 0.000 0.600 0.336 0.052 0.000 0.012
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.6011 0.4333 0.000 0.208 0.588 0.164 0.004 0.036
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.1894 0.8053 0.000 0.928 0.016 0.004 0.012 0.040
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.4661 0.6905 0.000 0.764 0.108 0.024 0.072 0.032
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 5 0.6994 0.3006 0.000 0.148 0.256 0.092 0.492 0.012
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.2320 0.7709 0.864 0.000 0.000 0.004 0.000 0.132
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.1711 0.8074 0.000 0.936 0.008 0.008 0.008 0.040
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0665 0.8177 0.000 0.980 0.008 0.004 0.000 0.008
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.2871 0.6738 0.804 0.000 0.000 0.004 0.000 0.192
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0547 0.8453 0.980 0.000 0.000 0.000 0.000 0.020
#> C1113977-B160-45EE-B061-750F9EA3F33F 5 0.8241 0.3037 0.000 0.160 0.220 0.212 0.356 0.052
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 3 0.6505 0.0715 0.000 0.384 0.396 0.184 0.000 0.036
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0547 0.8445 0.980 0.000 0.000 0.000 0.000 0.020
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.5986 0.3971 0.000 0.572 0.284 0.092 0.008 0.044
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.6068 0.4769 0.000 0.556 0.200 0.212 0.000 0.032
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.1410 0.8110 0.000 0.944 0.004 0.044 0.000 0.008
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.1511 0.8111 0.000 0.940 0.004 0.044 0.000 0.012
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.3076 0.6019 0.000 0.112 0.840 0.044 0.000 0.004
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0405 0.8158 0.000 0.988 0.000 0.004 0.000 0.008
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 5 0.6100 0.0746 0.000 0.000 0.276 0.104 0.556 0.064
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.5874 0.5080 0.000 0.588 0.204 0.176 0.000 0.032
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0862 0.8160 0.000 0.972 0.004 0.008 0.000 0.016
#> CF629C65-585D-476D-B081-3E6E0575FAE3 5 0.2402 0.3330 0.000 0.000 0.012 0.000 0.868 0.120
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.4539 0.5542 0.000 0.684 0.032 0.012 0.264 0.008
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0937 0.8362 0.960 0.000 0.000 0.000 0.000 0.040
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.1737 0.8077 0.000 0.932 0.000 0.020 0.008 0.040
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.1644 0.8184 0.920 0.000 0.000 0.004 0.000 0.076
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.3804 -0.4476 0.576 0.000 0.000 0.000 0.000 0.424
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.4317 0.3615 0.000 0.004 0.600 0.380 0.008 0.008
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.5900 0.4781 0.000 0.148 0.632 0.152 0.004 0.064
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.4032 0.7122 0.000 0.780 0.120 0.084 0.000 0.016
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0790 0.8422 0.968 0.000 0.000 0.000 0.000 0.032
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.2634 0.7916 0.000 0.896 0.032 0.012 0.028 0.032
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 4 0.5224 0.5864 0.000 0.000 0.060 0.628 0.276 0.036
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.1210 0.8146 0.000 0.960 0.004 0.008 0.008 0.020
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.5280 0.4241 0.000 0.000 0.640 0.228 0.112 0.020
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0891 0.8142 0.000 0.968 0.000 0.008 0.000 0.024
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 6 0.6626 0.1489 0.200 0.000 0.000 0.264 0.056 0.480
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.4104 0.4496 0.000 0.004 0.664 0.316 0.008 0.008
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.1555 0.8068 0.000 0.940 0.000 0.012 0.008 0.040
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 6 0.3789 0.8407 0.416 0.000 0.000 0.000 0.000 0.584
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 3 0.6766 0.1152 0.000 0.360 0.376 0.216 0.000 0.048
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.4971 0.5832 0.000 0.128 0.656 0.212 0.000 0.004
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 5 0.7387 0.3257 0.000 0.176 0.060 0.188 0.504 0.072
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.5177 0.5826 0.000 0.048 0.696 0.196 0.032 0.028
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.3735 0.5419 0.000 0.020 0.748 0.224 0.008 0.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.4122 0.4749 0.000 0.008 0.680 0.296 0.008 0.008
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0937 0.8362 0.960 0.000 0.000 0.000 0.000 0.040
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.5987 0.5050 0.000 0.576 0.180 0.208 0.000 0.036
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 6 0.3756 0.8438 0.400 0.000 0.000 0.000 0.000 0.600
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0363 0.8442 0.988 0.000 0.000 0.000 0.000 0.012
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.4273 0.3846 0.000 0.004 0.616 0.364 0.008 0.008
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.4214 0.3686 0.000 0.004 0.604 0.380 0.004 0.008
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.2781 0.7658 0.860 0.000 0.000 0.024 0.008 0.108
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 5 0.6644 0.2910 0.000 0.348 0.084 0.052 0.484 0.032
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0363 0.8425 0.988 0.000 0.000 0.000 0.000 0.012
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 3 0.3960 0.5707 0.000 0.020 0.792 0.128 0.004 0.056
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.2468 0.6205 0.000 0.048 0.888 0.060 0.004 0.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0363 0.8391 0.988 0.000 0.000 0.000 0.000 0.012
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0622 0.8150 0.000 0.980 0.000 0.012 0.000 0.008
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.4988 0.3183 0.676 0.000 0.000 0.012 0.132 0.180
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.7074 0.2704 0.000 0.060 0.488 0.256 0.168 0.028
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 3 0.6522 0.2816 0.000 0.280 0.476 0.208 0.004 0.032
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0937 0.8379 0.960 0.000 0.000 0.000 0.000 0.040
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 3 0.1413 0.5978 0.000 0.004 0.948 0.008 0.004 0.036
#> E769E41D-5949-42C5-9594-E563C05ACE52 3 0.4943 0.3213 0.000 0.328 0.596 0.072 0.000 0.004
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.3672 0.4884 0.000 0.004 0.712 0.276 0.008 0.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.1007 0.8367 0.956 0.000 0.000 0.000 0.000 0.044
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0865 0.8419 0.964 0.000 0.000 0.000 0.000 0.036
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0547 0.8445 0.980 0.000 0.000 0.000 0.000 0.020
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.6237 0.4627 0.000 0.148 0.572 0.232 0.016 0.032
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.4327 0.3529 0.000 0.004 0.596 0.384 0.008 0.008
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.5906 0.3301 0.000 0.552 0.328 0.068 0.012 0.040
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.6032 0.2679 0.000 0.492 0.344 0.140 0.000 0.024
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.5544 0.5407 0.000 0.664 0.168 0.008 0.120 0.040
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.4317 0.3615 0.000 0.004 0.600 0.380 0.008 0.008
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.5806 0.3495 0.000 0.552 0.316 0.092 0.000 0.040
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 4 0.5371 0.2265 0.000 0.000 0.352 0.544 0.096 0.008
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 3 0.4653 0.4215 0.000 0.260 0.664 0.072 0.000 0.004
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0508 0.8146 0.000 0.984 0.000 0.012 0.000 0.004
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.5923 0.2686 0.000 0.520 0.348 0.084 0.000 0.048
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.2239 0.8003 0.000 0.912 0.028 0.004 0.016 0.040
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.1265 0.8122 0.000 0.948 0.000 0.044 0.000 0.008
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.3136 0.5129 0.000 0.000 0.768 0.228 0.004 0.000
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#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.1471 0.8222 0.932 0.000 0.000 0.004 0.000 0.064
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.6134 0.4555 0.000 0.544 0.212 0.212 0.000 0.032
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.7165 -0.1125 0.000 0.048 0.372 0.204 0.356 0.020
#> CAE8097F-A139-4C6E-9E30-35080475FF34 3 0.6597 0.3684 0.000 0.228 0.528 0.172 0.004 0.068
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 6 0.3797 0.8386 0.420 0.000 0.000 0.000 0.000 0.580
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.1088 0.8133 0.000 0.960 0.000 0.016 0.000 0.024
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.6569 0.1683 0.000 0.448 0.304 0.208 0.000 0.040
#> B3527517-E339-46AE-8437-65303C309015 3 0.1338 0.5967 0.000 0.004 0.952 0.008 0.004 0.032
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.1536 0.8147 0.000 0.944 0.020 0.012 0.000 0.024
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 5 0.6364 0.3738 0.000 0.076 0.188 0.092 0.612 0.032
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.4801 0.5690 0.000 0.056 0.744 0.144 0.024 0.032
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0291 0.8145 0.000 0.992 0.000 0.004 0.000 0.004
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0458 0.8421 0.984 0.000 0.000 0.000 0.000 0.016
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 5 0.0725 0.3776 0.000 0.000 0.012 0.000 0.976 0.012
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.1528 0.8102 0.000 0.936 0.000 0.048 0.000 0.016
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.1837 0.5944 0.000 0.004 0.928 0.044 0.004 0.020
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.5274 0.4532 0.000 0.004 0.636 0.256 0.084 0.020
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 6 0.3828 0.8198 0.440 0.000 0.000 0.000 0.000 0.560
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.1015 0.5991 0.000 0.004 0.968 0.012 0.004 0.012
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.4278 0.7139 0.000 0.760 0.072 0.144 0.000 0.024
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.1483 0.8077 0.000 0.944 0.000 0.012 0.008 0.036
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.2137 0.8039 0.000 0.912 0.012 0.048 0.000 0.028
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0790 0.8416 0.968 0.000 0.000 0.000 0.000 0.032
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.4604 0.6713 0.000 0.716 0.052 0.200 0.000 0.032
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0914 0.8145 0.000 0.968 0.000 0.016 0.000 0.016
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.2234 0.7782 0.872 0.000 0.000 0.004 0.000 0.124
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 3 0.7527 0.3168 0.000 0.184 0.500 0.152 0.060 0.104
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.2805 0.6883 0.812 0.000 0.000 0.004 0.000 0.184
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.1088 0.8133 0.000 0.960 0.000 0.016 0.000 0.024
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.1349 0.8341 0.940 0.000 0.000 0.004 0.000 0.056
#> CE91F591-6072-4D29-9495-C78961635969 2 0.1173 0.8127 0.000 0.960 0.000 0.016 0.008 0.016
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0713 0.8426 0.972 0.000 0.000 0.000 0.000 0.028
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0363 0.8391 0.988 0.000 0.000 0.000 0.000 0.012
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.1088 0.8133 0.000 0.960 0.000 0.016 0.000 0.024
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.1933 0.8098 0.000 0.920 0.000 0.044 0.004 0.032
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.1285 0.8396 0.944 0.000 0.000 0.004 0.000 0.052
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0725 0.8141 0.000 0.976 0.000 0.012 0.000 0.012
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.1088 0.8133 0.000 0.960 0.000 0.016 0.000 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", "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 17288 rows and 266 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.998 0.999 0.4395 0.561 0.561
#> 3 3 0.874 0.908 0.960 0.3709 0.840 0.716
#> 4 4 0.880 0.893 0.946 0.1209 0.848 0.656
#> 5 5 0.807 0.714 0.857 0.0758 0.980 0.939
#> 6 6 0.785 0.753 0.854 0.0634 0.890 0.657
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.000 1.000 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.000 1.000 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.000 0.998 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.000 1.000 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.000 1.000 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.000 1.000 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.000 1.000 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.000 0.998 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.000 0.998 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.000 1.000 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.000 0.998 1.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.000 1.000 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.000 0.998 1.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.000 0.998 1.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.000 0.998 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.000 1.000 0.000 1.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.000 1.000 0.000 1.000
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#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.000 0.998 1.000 0.000
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#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.000 1.000 0.000 1.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.000 0.998 1.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.000 0.998 1.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.000 1.000 0.000 1.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.000 0.998 1.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.000 1.000 0.000 1.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.000 1.000 0.000 1.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.000 1.000 0.000 1.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.000 1.000 0.000 1.000
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.000 0.998 1.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.000 0.998 1.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.000 1.000 0.000 1.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0.000 1.000 0.000 1.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.000 0.998 1.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.000 0.998 1.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.000 0.998 1.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.000 1.000 0.000 1.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 1 0.671 0.786 0.824 0.176
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.000 0.998 1.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.000 1.000 0.000 1.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.000 1.000 0.000 1.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0.000 1.000 0.000 1.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.000 0.998 1.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.000 0.998 1.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.000 1.000 0.000 1.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.000 1.000 0.000 1.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.000 1.000 0.000 1.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.000 0.998 1.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.000 1.000 0.000 1.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.000 0.998 1.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.000 1.000 0.000 1.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.000 0.998 1.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.000 1.000 0.000 1.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.000 1.000 0.000 1.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.000 1.000 0.000 1.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.000 1.000 0.000 1.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.000 1.000 0.000 1.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.000 1.000 0.000 1.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.000 0.998 1.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.000 0.998 1.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.000 1.000 0.000 1.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.000 0.998 1.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.000 1.000 0.000 1.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.000 0.998 1.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.000 1.000 0.000 1.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.000 1.000 0.000 1.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.000 1.000 0.000 1.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.000 0.998 1.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.000 1.000 0.000 1.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.000 1.000 0.000 1.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.000 1.000 0.000 1.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.000 1.000 0.000 1.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.000 1.000 0.000 1.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.000 1.000 0.000 1.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.000 0.998 1.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.000 0.998 1.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.000 1.000 0.000 1.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.000 1.000 0.000 1.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.000 1.000 0.000 1.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.000 1.000 0.000 1.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.000 0.998 1.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.000 1.000 0.000 1.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.000 0.998 1.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.000 0.998 1.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.000 1.000 0.000 1.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.000 1.000 0.000 1.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.000 1.000 0.000 1.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.000 0.998 1.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.000 1.000 0.000 1.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.000 1.000 0.000 1.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.000 0.998 1.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.000 1.000 0.000 1.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.000 1.000 0.000 1.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.000 0.998 1.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.000 0.998 1.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.000 1.000 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.000 0.998 1.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.000 1.000 0.000 1.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.000 1.000 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.000 1.000 0.000 1.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.000 0.998 1.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.000 1.000 0.000 1.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.000 1.000 0.000 1.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.000 1.000 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.000 1.000 0.000 1.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.000 1.000 0.000 1.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.000 1.000 0.000 1.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.000 1.000 0.000 1.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.000 0.998 1.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.000 1.000 0.000 1.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.000 1.000 0.000 1.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.000 1.000 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.000 1.000 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.000 0.998 1.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.000 1.000 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.000 1.000 0.000 1.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.000 1.000 0.000 1.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.000 1.000 0.000 1.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.000 0.998 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.000 1.000 0.000 1.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.000 1.000 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.000 0.998 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.000 1.000 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.000 0.998 1.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.000 1.000 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.000 0.998 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.000 1.000 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.000 0.998 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.000 0.998 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.000 1.000 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.000 1.000 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.000 0.998 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.000 1.000 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.000 1.000 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.9419 0.000 1.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.9419 0.000 1.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9982 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0424 0.9371 0.000 0.992 0.008
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.4796 0.7426 0.000 0.780 0.220
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.5178 0.6916 0.000 0.744 0.256
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0000 0.9049 0.000 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.9982 1.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9982 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0000 0.9049 0.000 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 3 0.4235 0.7074 0.176 0.000 0.824
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0000 0.9049 0.000 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 3 0.4504 0.6774 0.196 0.000 0.804
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9982 1.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9982 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.9419 0.000 1.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.9419 0.000 1.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.6309 0.0679 0.000 0.504 0.496
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0000 0.9419 0.000 1.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.9419 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.9419 0.000 1.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.9982 1.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.9419 0.000 1.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.9982 1.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0000 0.9419 0.000 1.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.0237 0.9029 0.000 0.004 0.996
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.9982 1.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.9419 0.000 1.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.9982 1.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.9419 0.000 1.000 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.9982 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.5760 0.4902 0.000 0.328 0.672
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 0.9982 1.000 0.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.9982 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.9419 0.000 1.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.0000 0.9419 0.000 1.000 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.3116 0.8611 0.000 0.892 0.108
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.0000 0.9049 0.000 0.000 1.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.0000 0.9419 0.000 1.000 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.9982 1.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0000 0.9049 0.000 0.000 1.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9982 1.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.9419 0.000 1.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.9419 0.000 1.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0000 0.9419 0.000 1.000 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.3816 0.8234 0.000 0.852 0.148
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.9419 0.000 1.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.9419 0.000 1.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.0000 0.9419 0.000 1.000 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.9982 1.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.9419 0.000 1.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.9419 0.000 1.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.9982 1.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.9982 1.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.5397 0.6531 0.000 0.720 0.280
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.0000 0.9419 0.000 1.000 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.9982 1.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0000 0.9419 0.000 1.000 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0000 0.9419 0.000 1.000 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.9419 0.000 1.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.9419 0.000 1.000 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.5465 0.6393 0.000 0.712 0.288
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.9419 0.000 1.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.0000 0.9419 0.000 1.000 0.000
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.1964 0.9038 0.000 0.944 0.056
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.9419 0.000 1.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 1 0.0000 0.9982 1.000 0.000 0.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.9419 0.000 1.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.9982 1.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.9419 0.000 1.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.9982 1.000 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.9982 1.000 0.000 0.000
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#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.9419 0.000 1.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9982 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.9419 0.000 1.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.9419 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9982 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0000 0.9419 0.000 1.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.9982 1.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.9419 0.000 1.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.9982 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.9419 0.000 1.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9982 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9982 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.9419 0.000 1.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.9419 0.000 1.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9982 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.9419 0.000 1.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.9419 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0188 0.9679 0.000 0.996 0.004 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.1637 0.9499 0.940 0.000 0.000 0.060
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.1913 0.9304 0.000 0.940 0.020 0.040
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.2408 0.8330 0.000 0.104 0.896 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.2408 0.8330 0.000 0.104 0.896 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0657 0.8421 0.000 0.004 0.984 0.012
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.2011 0.9468 0.920 0.000 0.000 0.080
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0921 0.8375 0.000 0.000 0.972 0.028
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 4 0.2408 0.9068 0.000 0.000 0.104 0.896
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.3400 0.6880 0.000 0.000 0.820 0.180
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 4 0.2408 0.9068 0.000 0.000 0.104 0.896
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.1022 0.9527 0.968 0.000 0.000 0.032
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0000 0.8446 0.000 0.000 1.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0921 0.9562 0.000 0.972 0.028 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.0469 0.8418 0.000 0.000 0.988 0.012
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0188 0.9679 0.000 0.996 0.004 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.1059 0.8476 0.000 0.016 0.972 0.012
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 3 0.4008 0.6618 0.000 0.244 0.756 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.0592 0.9591 0.000 0.984 0.016 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.4981 0.0175 0.000 0.536 0.464 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 4 0.2589 0.8990 0.000 0.000 0.116 0.884
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.0707 0.9618 0.000 0.980 0.020 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0592 0.8412 0.000 0.000 0.984 0.016
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0188 0.9666 0.000 0.996 0.004 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.2647 0.8215 0.000 0.120 0.880 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.4418 0.7213 0.000 0.784 0.184 0.032
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.1022 0.9456 0.000 0.968 0.032 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 3 0.4500 0.5376 0.000 0.316 0.684 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.2011 0.8406 0.000 0.080 0.920 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.1302 0.9327 0.000 0.956 0.044 0.000
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 3 0.3444 0.7519 0.000 0.184 0.816 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 1 0.1716 0.9494 0.936 0.000 0.000 0.064
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.2149 0.9451 0.912 0.000 0.000 0.088
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.1211 0.9518 0.960 0.000 0.000 0.040
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.1022 0.8359 0.000 0.000 0.968 0.032
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.3172 0.7910 0.000 0.160 0.840 0.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.5000 -0.2470 0.000 0.000 0.504 0.496
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.4605 0.3375 0.000 0.000 0.664 0.336
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 4 0.1706 0.8563 0.016 0.000 0.036 0.948
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.0469 0.8427 0.000 0.000 0.988 0.012
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.0707 0.9589 0.000 0.980 0.020 0.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.0817 0.8389 0.000 0.000 0.976 0.024
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 3 0.2814 0.8101 0.000 0.132 0.868 0.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.1059 0.8466 0.000 0.012 0.972 0.016
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.0188 0.8442 0.000 0.000 0.996 0.004
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.0592 0.8407 0.000 0.000 0.984 0.016
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.0592 0.9642 0.000 0.984 0.016 0.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.0921 0.8371 0.000 0.000 0.972 0.028
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.1022 0.8354 0.000 0.000 0.968 0.032
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 3 0.3172 0.7900 0.000 0.160 0.840 0.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.0000 0.8446 0.000 0.000 1.000 0.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.5728 0.1779 0.000 0.036 0.600 0.364
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 3 0.2530 0.8278 0.000 0.112 0.888 0.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 3 0.2647 0.8282 0.000 0.120 0.880 0.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 3 0.2469 0.8306 0.000 0.108 0.892 0.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.0592 0.8407 0.000 0.000 0.984 0.016
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.2149 0.9451 0.912 0.000 0.000 0.088
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.2401 0.8381 0.000 0.092 0.904 0.004
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.1211 0.8316 0.000 0.000 0.960 0.040
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.0188 0.9666 0.000 0.996 0.004 0.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 3 0.3486 0.7453 0.000 0.188 0.812 0.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0336 0.9672 0.000 0.992 0.008 0.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.0707 0.8403 0.000 0.000 0.980 0.020
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 4 0.4730 0.5497 0.000 0.000 0.364 0.636
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 3 0.2408 0.8330 0.000 0.104 0.896 0.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0188 0.9679 0.000 0.996 0.004 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.0188 0.9666 0.000 0.996 0.004 0.000
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.0592 0.8407 0.000 0.000 0.984 0.016
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 3 0.2469 0.8306 0.000 0.108 0.892 0.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.1302 0.8295 0.000 0.000 0.956 0.044
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.4804 0.3074 0.000 0.616 0.384 0.000
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.2281 0.9419 0.904 0.000 0.000 0.096
#> 74868C37-8143-4306-81CA-E45759D146CD 3 0.3975 0.6682 0.000 0.240 0.760 0.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> E0961A30-A62C-4235-9CF0-A1776827A996 3 0.4730 0.4478 0.000 0.364 0.636 0.000
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.3569 0.7220 0.000 0.804 0.196 0.000
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.1584 0.9244 0.012 0.952 0.000 0.036
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.0921 0.9488 0.000 0.972 0.028 0.000
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.1118 0.9486 0.000 0.964 0.036 0.000
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.0188 0.8442 0.000 0.000 0.996 0.004
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.0817 0.8382 0.000 0.000 0.976 0.024
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.0707 0.9618 0.000 0.980 0.020 0.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 3 0.2530 0.8291 0.000 0.112 0.888 0.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.0188 0.9666 0.000 0.996 0.004 0.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0592 0.9642 0.000 0.984 0.016 0.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.1635 0.9285 0.000 0.948 0.008 0.044
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 3 0.2408 0.8330 0.000 0.104 0.896 0.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.0469 0.8418 0.000 0.000 0.988 0.012
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0592 0.9642 0.000 0.984 0.016 0.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 1 0.5951 0.4317 0.636 0.300 0.000 0.064
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.0188 0.9666 0.000 0.996 0.004 0.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 3 0.1635 0.8476 0.000 0.044 0.948 0.008
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0188 0.9679 0.000 0.996 0.004 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.0000 0.8446 0.000 0.000 1.000 0.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 3 0.2408 0.8330 0.000 0.104 0.896 0.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 3 0.4193 0.6215 0.000 0.268 0.732 0.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.1716 0.9495 0.936 0.000 0.000 0.064
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.1211 0.8316 0.000 0.000 0.960 0.040
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.1733 0.8454 0.000 0.024 0.948 0.028
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.2867 0.8315 0.000 0.104 0.884 0.012
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0592 0.9642 0.000 0.984 0.016 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0188 0.9666 0.000 0.996 0.004 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.2149 0.9451 0.912 0.000 0.000 0.088
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.0707 0.8396 0.000 0.000 0.980 0.020
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.0657 0.8443 0.000 0.004 0.984 0.012
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 3 0.3074 0.7915 0.000 0.152 0.848 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0817 0.8385 0.000 0.000 0.976 0.024
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.2704 0.8201 0.000 0.124 0.876 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.2081 0.9460 0.916 0.000 0.000 0.084
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.2868 0.8156 0.000 0.136 0.864 0.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.1302 0.8470 0.000 0.044 0.956 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.0592 0.9591 0.000 0.984 0.016 0.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 4 0.1867 0.8954 0.000 0.000 0.072 0.928
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0921 0.9436 0.000 0.972 0.000 0.028
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.2469 0.8306 0.000 0.108 0.892 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.4720 0.4771 0.000 0.672 0.324 0.004
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.1474 0.9503 0.948 0.000 0.000 0.052
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0592 0.9642 0.000 0.984 0.016 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0188 0.9679 0.000 0.996 0.004 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0817 0.8385 0.000 0.000 0.976 0.024
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0921 0.9528 0.972 0.000 0.000 0.028
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 3 0.3311 0.7653 0.000 0.172 0.828 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.0937 0.8470 0.000 0.012 0.976 0.012
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0921 0.9495 0.000 0.972 0.028 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.1474 0.9314 0.000 0.948 0.052 0.000
#> B3527517-E339-46AE-8437-65303C309015 3 0.2281 0.8361 0.000 0.096 0.904 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0707 0.9567 0.000 0.980 0.020 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.5106 0.5276 0.000 0.240 0.720 0.040
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0188 0.9679 0.000 0.996 0.004 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0592 0.8407 0.000 0.000 0.984 0.016
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.1022 0.8344 0.000 0.000 0.968 0.032
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0469 0.8418 0.000 0.000 0.988 0.012
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0707 0.9620 0.000 0.980 0.020 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.4454 0.5227 0.000 0.692 0.308 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0921 0.9495 0.000 0.972 0.028 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.2216 0.9441 0.908 0.000 0.000 0.092
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0592 0.9642 0.000 0.984 0.016 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.2149 0.9451 0.912 0.000 0.000 0.088
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0336 0.9672 0.000 0.992 0.008 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.9680 0.000 1.000 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9539 1.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0469 0.9663 0.000 0.988 0.012 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0469 0.9663 0.000 0.988 0.012 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0671 0.8164 0.000 0.980 0.004 0.000 0.016
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0566 0.8171 0.000 0.984 0.004 0.000 0.012
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.2230 0.7686 0.884 0.000 0.000 0.000 0.116
#> 3182DEA1-4239-4613-925A-7E6503766AD6 5 0.5399 0.7170 0.000 0.476 0.032 0.012 0.480
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.1549 0.8420 0.000 0.016 0.944 0.000 0.040
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.1106 0.8472 0.000 0.012 0.964 0.000 0.024
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.1893 0.8376 0.000 0.000 0.928 0.024 0.048
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.3707 0.7938 0.716 0.000 0.000 0.000 0.284
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.4171 0.8033 0.604 0.000 0.000 0.000 0.396
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.1357 0.8397 0.000 0.000 0.948 0.048 0.004
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 4 0.0510 0.7486 0.000 0.000 0.016 0.984 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.4249 0.1590 0.000 0.000 0.568 0.432 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 4 0.0510 0.7486 0.000 0.000 0.016 0.984 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0703 0.7421 0.976 0.000 0.000 0.000 0.024
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.4171 0.8033 0.604 0.000 0.000 0.000 0.396
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.8183 0.000 1.000 0.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.3737 0.4529 0.000 0.764 0.008 0.004 0.224
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0833 0.8482 0.000 0.004 0.976 0.004 0.016
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.3461 0.4502 0.000 0.772 0.004 0.000 0.224
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0671 0.8164 0.000 0.980 0.004 0.000 0.016
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0451 0.8154 0.000 0.988 0.000 0.004 0.008
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.7343 1.000 0.000 0.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0486 0.8175 0.000 0.988 0.004 0.004 0.004
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0162 0.7322 0.996 0.000 0.000 0.000 0.004
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.5087 -0.0490 0.000 0.644 0.064 0.000 0.292
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.1117 0.8445 0.000 0.000 0.964 0.016 0.020
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.1671 0.7580 0.924 0.000 0.000 0.000 0.076
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0671 0.8164 0.000 0.980 0.004 0.000 0.016
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.2179 0.7668 0.888 0.000 0.000 0.000 0.112
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.1205 0.7964 0.000 0.956 0.000 0.004 0.040
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.4171 0.8033 0.604 0.000 0.000 0.000 0.396
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.1012 0.8469 0.000 0.000 0.968 0.012 0.020
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.3039 0.7802 0.808 0.000 0.000 0.000 0.192
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.4171 0.8033 0.604 0.000 0.000 0.000 0.396
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 3 0.4797 0.6334 0.000 0.104 0.724 0.000 0.172
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.4228 0.4169 0.000 0.748 0.032 0.004 0.216
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 3 0.6413 -0.3736 0.000 0.396 0.432 0.000 0.172
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 4 0.0510 0.7486 0.000 0.000 0.016 0.984 0.000
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#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0404 0.7272 0.988 0.000 0.000 0.000 0.012
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.2102 0.7546 0.000 0.916 0.012 0.004 0.068
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 0.7343 1.000 0.000 0.000 0.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0324 0.8167 0.000 0.992 0.000 0.004 0.004
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.2291 0.8363 0.000 0.000 0.908 0.036 0.056
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.1670 0.8445 0.000 0.000 0.936 0.012 0.052
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.7343 1.000 0.000 0.000 0.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 3 0.2859 0.7988 0.000 0.056 0.876 0.000 0.068
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.1168 0.8062 0.000 0.960 0.008 0.000 0.032
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.3109 0.5065 0.000 0.800 0.000 0.000 0.200
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0324 0.8167 0.000 0.992 0.000 0.004 0.004
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.2654 0.8314 0.000 0.000 0.888 0.048 0.064
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.3506 0.7990 0.000 0.044 0.824 0.000 0.132
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.7343 1.000 0.000 0.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.4171 0.8033 0.604 0.000 0.000 0.000 0.396
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.2813 0.8108 0.000 0.048 0.884 0.004 0.064
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.1717 0.7897 0.000 0.936 0.008 0.052 0.004
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.0932 0.8477 0.000 0.004 0.972 0.004 0.020
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.2321 0.7472 0.000 0.912 0.024 0.008 0.056
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 4 0.0854 0.7426 0.004 0.000 0.012 0.976 0.008
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0703 0.8069 0.024 0.976 0.000 0.000 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.4171 0.8033 0.604 0.000 0.000 0.000 0.396
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.4171 0.8033 0.604 0.000 0.000 0.000 0.396
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.3489 0.4791 0.000 0.784 0.004 0.004 0.208
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0324 0.8167 0.000 0.992 0.000 0.004 0.004
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.8183 0.000 1.000 0.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.4171 0.8033 0.604 0.000 0.000 0.000 0.396
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.1862 0.8494 0.000 0.016 0.932 0.004 0.048
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 5 0.6088 0.8054 0.000 0.404 0.108 0.004 0.484
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.4171 0.8033 0.604 0.000 0.000 0.000 0.396
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.3012 0.6758 0.000 0.852 0.024 0.000 0.124
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0671 0.8164 0.000 0.980 0.004 0.000 0.016
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.4171 0.8033 0.604 0.000 0.000 0.000 0.396
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0404 0.7272 0.988 0.000 0.000 0.000 0.012
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.2708 0.8289 0.000 0.000 0.884 0.044 0.072
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0510 0.7399 0.984 0.000 0.000 0.000 0.016
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 3 0.2795 0.8060 0.000 0.056 0.880 0.000 0.064
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.3720 0.6940 0.000 0.000 0.760 0.012 0.228
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.4557 0.3777 0.000 0.736 0.056 0.004 0.204
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0404 0.7272 0.988 0.000 0.000 0.000 0.012
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.1626 0.7906 0.000 0.940 0.016 0.000 0.044
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.4989 -0.0615 0.000 0.648 0.056 0.000 0.296
#> B3527517-E339-46AE-8437-65303C309015 3 0.1267 0.8474 0.000 0.012 0.960 0.004 0.024
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.1484 0.7956 0.000 0.944 0.008 0.000 0.048
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.3422 0.5088 0.000 0.792 0.004 0.004 0.200
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.8183 -0.1357 0.000 0.172 0.396 0.160 0.272
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0671 0.8164 0.000 0.980 0.004 0.000 0.016
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.4171 0.8033 0.604 0.000 0.000 0.000 0.396
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0451 0.8162 0.000 0.988 0.000 0.008 0.004
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0451 0.8154 0.000 0.988 0.000 0.004 0.008
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.1579 0.8411 0.000 0.000 0.944 0.024 0.032
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.5004 0.6288 0.000 0.000 0.692 0.092 0.216
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.7343 1.000 0.000 0.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0451 0.8470 0.000 0.000 0.988 0.008 0.004
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.4836 -0.1890 0.000 0.628 0.036 0.000 0.336
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0324 0.8167 0.000 0.992 0.000 0.004 0.004
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.3319 0.5798 0.000 0.820 0.020 0.000 0.160
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.4171 0.8033 0.604 0.000 0.000 0.000 0.396
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.5996 -0.4109 0.000 0.496 0.388 0.000 0.116
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.8183 0.000 1.000 0.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.4171 0.8033 0.604 0.000 0.000 0.000 0.396
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.2740 0.7085 0.000 0.888 0.044 0.004 0.064
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0290 0.7298 0.992 0.000 0.000 0.000 0.008
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.1981 0.7693 0.000 0.920 0.016 0.000 0.064
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.2179 0.7679 0.888 0.000 0.000 0.000 0.112
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.8183 0.000 1.000 0.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.4171 0.8033 0.604 0.000 0.000 0.000 0.396
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.4171 0.8033 0.604 0.000 0.000 0.000 0.396
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.1082 0.8087 0.000 0.964 0.008 0.000 0.028
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.1041 0.8024 0.000 0.964 0.000 0.004 0.032
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.4171 0.8033 0.604 0.000 0.000 0.000 0.396
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.1331 0.8009 0.000 0.952 0.008 0.000 0.040
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.1485 0.7992 0.000 0.948 0.020 0.000 0.032
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0508 0.8963 0.000 0.984 0.000 0.012 0.000 0.004
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0363 0.8970 0.000 0.988 0.000 0.012 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 5 0.3259 0.6759 0.216 0.000 0.000 0.012 0.772 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 4 0.4158 0.3527 0.016 0.216 0.028 0.736 0.000 0.004
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.0508 0.8108 0.004 0.000 0.984 0.012 0.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.0405 0.8106 0.004 0.000 0.988 0.008 0.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.2301 0.7716 0.020 0.000 0.884 0.096 0.000 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.3784 0.7708 0.680 0.000 0.000 0.012 0.308 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.2416 0.9756 0.844 0.000 0.000 0.000 0.156 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0777 0.8109 0.004 0.000 0.972 0.000 0.000 0.024
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 6 0.0146 0.8585 0.000 0.000 0.000 0.000 0.004 0.996
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.3866 -0.0154 0.000 0.000 0.516 0.000 0.000 0.484
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 6 0.0146 0.8585 0.000 0.000 0.000 0.000 0.004 0.996
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 5 0.0713 0.9024 0.028 0.000 0.000 0.000 0.972 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.2416 0.9756 0.844 0.000 0.000 0.000 0.156 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0146 0.8971 0.000 0.996 0.000 0.000 0.000 0.004
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.4095 0.3538 0.008 0.480 0.000 0.512 0.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0547 0.8101 0.000 0.000 0.980 0.020 0.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.3991 -0.3361 0.000 0.524 0.004 0.472 0.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0458 0.8959 0.000 0.984 0.000 0.016 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0632 0.8870 0.000 0.976 0.000 0.024 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 5 0.0458 0.9075 0.016 0.000 0.000 0.000 0.984 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0291 0.8970 0.000 0.992 0.004 0.004 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 5 0.0260 0.9077 0.008 0.000 0.000 0.000 0.992 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.5702 0.6024 0.028 0.360 0.076 0.532 0.000 0.004
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.1682 0.7977 0.020 0.000 0.928 0.052 0.000 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 5 0.2805 0.7578 0.160 0.000 0.000 0.012 0.828 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0363 0.8966 0.000 0.988 0.000 0.012 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 5 0.2378 0.7808 0.152 0.000 0.000 0.000 0.848 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.1556 0.8447 0.000 0.920 0.000 0.080 0.000 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.2454 0.9763 0.840 0.000 0.000 0.000 0.160 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.1657 0.7967 0.016 0.000 0.928 0.056 0.000 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 5 0.3867 0.3956 0.328 0.000 0.000 0.012 0.660 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.2378 0.9736 0.848 0.000 0.000 0.000 0.152 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 3 0.4370 0.6261 0.024 0.048 0.732 0.196 0.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.4184 0.3238 0.012 0.484 0.000 0.504 0.000 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 3 0.6128 -0.1983 0.008 0.268 0.464 0.260 0.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 6 0.0146 0.8578 0.000 0.000 0.000 0.000 0.004 0.996
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 4 0.5391 0.5556 0.036 0.304 0.064 0.596 0.000 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 5 0.0260 0.9077 0.008 0.000 0.000 0.000 0.992 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.3591 0.7683 0.064 0.000 0.816 0.104 0.000 0.016
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.2778 0.9730 0.824 0.000 0.000 0.008 0.168 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0790 0.8897 0.000 0.968 0.000 0.032 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0820 0.8929 0.000 0.972 0.000 0.016 0.000 0.012
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.2730 0.7449 0.012 0.836 0.000 0.152 0.000 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.4032 0.3068 0.008 0.000 0.572 0.420 0.000 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.1082 0.8838 0.000 0.956 0.000 0.040 0.000 0.004
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0858 0.8894 0.000 0.968 0.004 0.028 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.1610 0.8398 0.000 0.916 0.000 0.084 0.000 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 5 0.0146 0.9063 0.004 0.000 0.000 0.000 0.996 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0692 0.8943 0.000 0.976 0.000 0.020 0.000 0.004
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0858 0.8894 0.000 0.968 0.004 0.028 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.2854 0.9398 0.792 0.000 0.000 0.000 0.208 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.2340 0.9701 0.852 0.000 0.000 0.000 0.148 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 4 0.5637 0.2127 0.004 0.120 0.020 0.600 0.000 0.256
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 4 0.4897 0.5005 0.028 0.416 0.020 0.536 0.000 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 5 0.0146 0.9064 0.004 0.000 0.000 0.000 0.996 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.2070 0.8168 0.008 0.892 0.000 0.100 0.000 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 3 0.4577 0.1682 0.016 0.012 0.500 0.472 0.000 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.1501 0.8465 0.000 0.924 0.000 0.076 0.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.1610 0.8397 0.000 0.916 0.000 0.084 0.000 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.0547 0.8101 0.000 0.000 0.980 0.020 0.000 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0146 0.8962 0.000 0.996 0.000 0.004 0.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 4 0.4529 0.5390 0.008 0.388 0.024 0.580 0.000 0.000
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 3 0.2019 0.7846 0.000 0.012 0.900 0.088 0.000 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.8968 0.000 1.000 0.000 0.000 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 5 0.5785 -0.1740 0.428 0.000 0.020 0.104 0.448 0.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0146 0.8970 0.000 0.996 0.000 0.004 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.2631 0.9683 0.820 0.000 0.000 0.000 0.180 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0865 0.8803 0.000 0.964 0.000 0.036 0.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 5 0.0547 0.9064 0.020 0.000 0.000 0.000 0.980 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 5 0.2883 0.6937 0.212 0.000 0.000 0.000 0.788 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.3943 0.7641 0.072 0.000 0.796 0.104 0.000 0.028
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#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.2631 0.9683 0.820 0.000 0.000 0.000 0.180 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.3370 0.7727 0.064 0.000 0.812 0.124 0.000 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 4 0.3761 0.3205 0.008 0.148 0.048 0.792 0.000 0.004
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.2946 0.9650 0.812 0.000 0.000 0.012 0.176 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.2783 0.7306 0.000 0.836 0.016 0.148 0.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0547 0.8946 0.000 0.980 0.000 0.020 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.2562 0.9736 0.828 0.000 0.000 0.000 0.172 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 5 0.0000 0.9034 0.000 0.000 0.000 0.000 1.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.4389 0.7300 0.064 0.000 0.748 0.160 0.000 0.028
#> A26025AC-9F71-4C07-9135-83593193BBB2 5 0.0790 0.8999 0.032 0.000 0.000 0.000 0.968 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 3 0.1230 0.8094 0.008 0.008 0.956 0.028 0.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.4315 0.1642 0.012 0.000 0.496 0.488 0.000 0.004
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.5060 -0.3759 0.020 0.476 0.036 0.468 0.000 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 5 0.0146 0.9063 0.004 0.000 0.000 0.000 0.996 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0777 0.8915 0.000 0.972 0.004 0.024 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 4 0.4753 0.5792 0.004 0.368 0.048 0.580 0.000 0.000
#> B3527517-E339-46AE-8437-65303C309015 3 0.1528 0.7996 0.016 0.000 0.936 0.048 0.000 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0632 0.8939 0.000 0.976 0.000 0.024 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.4310 -0.0767 0.016 0.576 0.000 0.404 0.000 0.004
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.5468 0.2303 0.000 0.024 0.228 0.624 0.000 0.124
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0458 0.8959 0.000 0.984 0.000 0.016 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.2416 0.9756 0.844 0.000 0.000 0.000 0.156 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0458 0.8914 0.000 0.984 0.000 0.016 0.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0632 0.8870 0.000 0.976 0.000 0.024 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.2009 0.7880 0.024 0.000 0.908 0.068 0.000 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 4 0.6959 -0.0745 0.072 0.000 0.332 0.392 0.000 0.204
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 5 0.0458 0.9075 0.016 0.000 0.000 0.000 0.984 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0363 0.8099 0.000 0.000 0.988 0.012 0.000 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 4 0.4124 0.5471 0.000 0.332 0.024 0.644 0.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.8968 0.000 1.000 0.000 0.000 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.3652 0.2562 0.000 0.672 0.004 0.324 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.2527 0.9753 0.832 0.000 0.000 0.000 0.168 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 3 0.5783 -0.2532 0.008 0.420 0.436 0.136 0.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.8968 0.000 1.000 0.000 0.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.2378 0.9735 0.848 0.000 0.000 0.000 0.152 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.3338 0.6890 0.020 0.800 0.008 0.172 0.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 5 0.0260 0.9077 0.008 0.000 0.000 0.000 0.992 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0935 0.8868 0.000 0.964 0.004 0.032 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 5 0.3729 0.4855 0.296 0.000 0.000 0.012 0.692 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.8968 0.000 1.000 0.000 0.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.2527 0.9753 0.832 0.000 0.000 0.000 0.168 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.2340 0.9701 0.852 0.000 0.000 0.000 0.148 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0458 0.8960 0.000 0.984 0.000 0.016 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.1387 0.8544 0.000 0.932 0.000 0.068 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.2416 0.9756 0.844 0.000 0.000 0.000 0.156 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0632 0.8929 0.000 0.976 0.000 0.024 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0777 0.8915 0.000 0.972 0.004 0.024 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "hclust"]
# you can also extract it by
# res = res_list["CV:hclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17288 rows and 266 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.995 0.998 0.4337 0.566 0.566
#> 3 3 0.874 0.930 0.959 0.0759 0.995 0.991
#> 4 4 0.618 0.826 0.849 0.1486 0.993 0.988
#> 5 5 0.585 0.419 0.786 0.1039 0.882 0.787
#> 6 6 0.569 0.662 0.830 0.0935 0.883 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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.999 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.999 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.995 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0000 0.999 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.0000 0.999 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.0000 0.999 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.0000 0.999 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.995 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.995 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.0000 0.999 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.5737 0.846 0.864 0.136
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.0376 0.995 0.004 0.996
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.5737 0.846 0.864 0.136
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.995 1.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.995 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.999 0.000 1.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.999 0.000 1.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.0000 0.999 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0000 0.999 0.000 1.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.999 0.000 1.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.999 0.000 1.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.995 1.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.999 0.000 1.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.995 1.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0000 0.999 0.000 1.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.0000 0.999 0.000 1.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.995 1.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.999 0.000 1.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.995 1.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.999 0.000 1.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.995 1.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.0000 0.999 0.000 1.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 0.995 1.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.995 1.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.999 0.000 1.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.0672 0.992 0.008 0.992
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0000 0.999 0.000 1.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 2 0.3733 0.923 0.072 0.928
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.0672 0.992 0.008 0.992
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.995 1.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.0000 0.999 0.000 1.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.995 1.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.999 0.000 1.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.999 0.000 1.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0000 0.999 0.000 1.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.0000 0.999 0.000 1.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.999 0.000 1.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.999 0.000 1.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.0000 0.999 0.000 1.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.995 1.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.999 0.000 1.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.999 0.000 1.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.995 1.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.995 1.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.0000 0.999 0.000 1.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.0000 0.999 0.000 1.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.995 1.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0000 0.999 0.000 1.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0000 0.999 0.000 1.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.999 0.000 1.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.999 0.000 1.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.0000 0.999 0.000 1.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.999 0.000 1.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.0672 0.992 0.008 0.992
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0000 0.999 0.000 1.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.999 0.000 1.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 2 0.1414 0.981 0.020 0.980
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.999 0.000 1.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.995 1.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.999 0.000 1.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.995 1.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.995 1.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.0000 0.999 0.000 1.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.0000 0.999 0.000 1.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.0000 0.999 0.000 1.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.995 1.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.999 0.000 1.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 2 0.0672 0.992 0.008 0.992
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.999 0.000 1.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 2 0.0000 0.999 0.000 1.000
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.999 0.000 1.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0000 0.995 1.000 0.000
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.0000 0.999 0.000 1.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.999 0.000 1.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 0.995 1.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.0000 0.999 0.000 1.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.0000 0.999 0.000 1.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.0000 0.999 0.000 1.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.0000 0.999 0.000 1.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.0000 0.999 0.000 1.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0.0000 0.999 0.000 1.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.995 1.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.0000 0.999 0.000 1.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0000 0.995 1.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.995 1.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.0000 0.999 0.000 1.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0.0000 0.999 0.000 1.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 0.995 1.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.0000 0.999 0.000 1.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.995 1.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.0000 0.999 0.000 1.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.0000 0.999 0.000 1.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.995 1.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.999 0.000 1.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0000 0.995 1.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.0000 0.999 0.000 1.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.0000 0.999 0.000 1.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.995 1.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 2 0.0000 0.999 0.000 1.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.0000 0.999 0.000 1.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0.0000 0.999 0.000 1.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0000 0.995 1.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.995 1.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0000 0.995 1.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.0000 0.999 0.000 1.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.0000 0.999 0.000 1.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.0000 0.999 0.000 1.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.0000 0.999 0.000 1.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.999 0.000 1.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.0000 0.999 0.000 1.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.0000 0.999 0.000 1.000
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 2 0.0000 0.999 0.000 1.000
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.0000 0.999 0.000 1.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.999 0.000 1.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.0000 0.999 0.000 1.000
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0000 0.999 0.000 1.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0000 0.999 0.000 1.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0.0000 0.999 0.000 1.000
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.995 1.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.0000 0.999 0.000 1.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 2 0.0672 0.992 0.008 0.992
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.995 1.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.0000 0.999 0.000 1.000
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.0672 0.992 0.008 0.992
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0000 0.995 1.000 0.000
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.0000 0.999 0.000 1.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.999 0.000 1.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.995 1.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0000 0.999 0.000 1.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0000 0.995 1.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.0000 0.999 0.000 1.000
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.0000 0.999 0.000 1.000
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.0672 0.992 0.008 0.992
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.0000 0.999 0.000 1.000
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.995 1.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0000 0.995 1.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.0000 0.999 0.000 1.000
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.999 0.000 1.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0.0000 0.999 0.000 1.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.999 0.000 1.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 2 0.1184 0.985 0.016 0.984
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0000 0.995 1.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.999 0.000 1.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.995 1.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.995 1.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.0000 0.999 0.000 1.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0000 0.995 1.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.0000 0.999 0.000 1.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.0000 0.999 0.000 1.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0000 0.999 0.000 1.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.0672 0.992 0.008 0.992
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.995 1.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 0.995 1.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.0000 0.999 0.000 1.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0.0000 0.999 0.000 1.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0000 0.995 1.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.995 1.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.995 1.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0000 0.999 0.000 1.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 2 0.0672 0.992 0.008 0.992
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 0.995 1.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.0000 0.999 0.000 1.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.999 0.000 1.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0.0000 0.999 0.000 1.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.995 1.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.995 1.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.999 0.000 1.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.999 0.000 1.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.0000 0.999 0.000 1.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0000 0.995 1.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.0000 0.999 0.000 1.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.995 1.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.0000 0.999 0.000 1.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0000 0.995 1.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.0000 0.999 0.000 1.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0000 0.999 0.000 1.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.0000 0.999 0.000 1.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.0000 0.999 0.000 1.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.999 0.000 1.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.999 0.000 1.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.995 1.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.995 1.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.999 0.000 1.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0000 0.995 1.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0000 0.999 0.000 1.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 0.995 1.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0000 0.999 0.000 1.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.0000 0.999 0.000 1.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.0000 0.999 0.000 1.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.995 1.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0000 0.999 0.000 1.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.999 0.000 1.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.999 0.000 1.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.999 0.000 1.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.0000 0.999 0.000 1.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.0000 0.999 0.000 1.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.995 1.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.995 1.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.0000 0.999 0.000 1.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.999 0.000 1.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.0000 0.999 0.000 1.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.0376 0.995 0.004 0.996
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.5737 0.846 0.864 0.136
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0672 0.992 0.008 0.992
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.995 1.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.995 1.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.0672 0.992 0.008 0.992
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.999 0.000 1.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.999 0.000 1.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.995 1.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.0000 0.999 0.000 1.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.0000 0.999 0.000 1.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.995 1.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.999 0.000 1.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.999 0.000 1.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.995 1.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.995 1.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.0000 0.999 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.995 1.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.999 0.000 1.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.0672 0.992 0.008 0.992
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0000 0.999 0.000 1.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.995 1.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.999 0.000 1.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0000 0.999 0.000 1.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.0000 0.999 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.999 0.000 1.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0000 0.999 0.000 1.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.0000 0.999 0.000 1.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.999 0.000 1.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.995 1.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0672 0.992 0.008 0.992
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.999 0.000 1.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.0000 0.999 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.0000 0.999 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.995 1.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.0000 0.999 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.999 0.000 1.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.999 0.000 1.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.999 0.000 1.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.995 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.999 0.000 1.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.999 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.995 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0000 0.999 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.995 1.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.999 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.995 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.999 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.995 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.995 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.999 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.999 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.995 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.999 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.999 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.2711 0.917 0.000 0.912 0.088
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0237 0.937 0.000 0.996 0.004
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.981 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.3412 0.893 0.000 0.876 0.124
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#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.981 1.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.0000 0.935 0.000 1.000 0.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0237 0.981 0.996 0.000 0.004
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.3267 0.899 0.000 0.884 0.116
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0000 0.935 0.000 1.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.0424 0.937 0.000 0.992 0.008
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.0424 0.937 0.000 0.992 0.008
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.935 0.000 1.000 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.2959 0.911 0.000 0.900 0.100
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0237 0.981 0.996 0.000 0.004
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.981 1.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.3116 0.905 0.000 0.892 0.108
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0237 0.981 0.996 0.000 0.004
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.2165 0.928 0.000 0.936 0.064
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0237 0.981 0.996 0.000 0.004
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0000 0.935 0.000 1.000 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.3267 0.899 0.000 0.884 0.116
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.2959 0.911 0.000 0.900 0.100
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0892 0.973 0.980 0.000 0.020
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0000 0.935 0.000 1.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.935 0.000 1.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.935 0.000 1.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.3192 0.902 0.000 0.888 0.112
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.1643 0.935 0.000 0.956 0.044
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.0000 0.935 0.000 1.000 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0237 0.981 0.996 0.000 0.004
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.981 1.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.0000 0.935 0.000 1.000 0.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.3267 0.899 0.000 0.884 0.116
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.0424 0.937 0.000 0.992 0.008
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.1753 0.934 0.000 0.952 0.048
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.8405 0.397 0.604 0.132 0.264
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.3482 0.890 0.000 0.872 0.128
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.981 1.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.981 1.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.0747 0.932 0.000 0.984 0.016
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0237 0.937 0.000 0.996 0.004
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.3192 0.902 0.000 0.888 0.112
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.981 1.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.0000 0.935 0.000 1.000 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.3340 0.897 0.000 0.880 0.120
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0892 0.973 0.980 0.000 0.020
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0424 0.937 0.000 0.992 0.008
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0892 0.938 0.000 0.980 0.020
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.981 1.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.1031 0.971 0.976 0.000 0.024
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.1860 0.933 0.000 0.948 0.052
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0237 0.981 0.996 0.000 0.004
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.935 0.000 1.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.3482 0.890 0.000 0.872 0.128
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0000 0.935 0.000 1.000 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0237 0.981 0.996 0.000 0.004
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.935 0.000 1.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0000 0.935 0.000 1.000 0.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.0424 0.937 0.000 0.992 0.008
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0424 0.938 0.000 0.992 0.008
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.2878 0.814 0.000 0.904 0.096
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.2796 0.917 0.000 0.908 0.092
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.2711 0.917 0.000 0.912 0.088
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.981 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.3482 0.890 0.000 0.872 0.128
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.1163 0.937 0.000 0.972 0.028
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.0747 0.938 0.000 0.984 0.016
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.1643 0.935 0.000 0.956 0.044
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0237 0.981 0.996 0.000 0.004
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.0424 0.937 0.000 0.992 0.008
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.3340 0.897 0.000 0.880 0.120
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.1753 0.934 0.000 0.952 0.048
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.935 0.000 1.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.981 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.935 0.000 1.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0424 0.937 0.000 0.992 0.008
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.981 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0000 0.935 0.000 1.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0237 0.981 0.996 0.000 0.004
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0424 0.938 0.000 0.992 0.008
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0237 0.980 0.996 0.000 0.004
#> CE91F591-6072-4D29-9495-C78961635969 2 0.3192 0.902 0.000 0.888 0.112
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.981 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.981 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0424 0.938 0.000 0.992 0.008
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.2261 0.927 0.000 0.932 0.068
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.981 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.2066 0.930 0.000 0.940 0.060
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.935 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.3837 0.815 0.000 0.776 0.000 NA
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.1209 0.854 0.000 0.964 0.004 NA
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.2345 0.865 0.900 0.000 0.000 NA
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.4837 0.725 0.000 0.648 0.004 NA
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.0469 0.854 0.000 0.988 0.000 NA
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.0469 0.854 0.000 0.988 0.000 NA
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.1474 0.857 0.000 0.948 0.000 NA
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.2408 0.865 0.896 0.000 0.000 NA
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.1302 0.849 0.956 0.000 0.044 NA
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.1940 0.856 0.000 0.924 0.000 NA
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 3 0.9071 0.860 0.124 0.128 0.380 NA
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.4605 0.741 0.000 0.664 0.000 NA
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 3 0.9071 0.860 0.124 0.128 0.380 NA
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.3569 0.843 0.804 0.000 0.000 NA
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.1302 0.849 0.956 0.000 0.044 NA
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.3873 0.813 0.000 0.772 0.000 NA
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0657 0.847 0.000 0.984 0.004 NA
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.0469 0.854 0.000 0.988 0.000 NA
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.4655 0.759 0.000 0.684 0.004 NA
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.1792 0.858 0.000 0.932 0.000 NA
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.2530 0.852 0.000 0.888 0.000 NA
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.4304 0.801 0.716 0.000 0.000 NA
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0895 0.847 0.000 0.976 0.004 NA
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.4988 0.785 0.692 0.000 0.020 NA
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.1004 0.853 0.000 0.972 0.004 NA
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.1940 0.856 0.000 0.924 0.000 NA
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.2867 0.863 0.884 0.000 0.012 NA
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.4543 0.753 0.000 0.676 0.000 NA
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.3172 0.854 0.840 0.000 0.000 NA
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.3907 0.811 0.000 0.768 0.000 NA
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.1022 0.854 0.968 0.000 0.032 NA
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.0469 0.854 0.000 0.988 0.000 NA
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.2867 0.863 0.884 0.000 0.012 NA
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.1302 0.849 0.956 0.000 0.044 NA
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0707 0.856 0.000 0.980 0.000 NA
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.2944 0.849 0.000 0.868 0.004 NA
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0779 0.847 0.000 0.980 0.004 NA
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 2 0.5352 0.646 0.016 0.596 0.000 NA
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.1489 0.851 0.000 0.952 0.004 NA
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.4483 0.799 0.712 0.000 0.004 NA
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.4477 0.762 0.000 0.688 0.000 NA
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.1557 0.867 0.944 0.000 0.000 NA
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0895 0.849 0.000 0.976 0.004 NA
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.4522 0.755 0.000 0.680 0.000 NA
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.2589 0.852 0.000 0.884 0.000 NA
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.0592 0.854 0.000 0.984 0.000 NA
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.4164 0.793 0.000 0.736 0.000 NA
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.3105 0.847 0.000 0.856 0.004 NA
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.3528 0.829 0.000 0.808 0.000 NA
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.4988 0.785 0.692 0.000 0.020 NA
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.3448 0.840 0.000 0.828 0.004 NA
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0779 0.847 0.000 0.980 0.004 NA
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.2021 0.859 0.936 0.000 0.040 NA
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.1474 0.844 0.948 0.000 0.052 NA
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.4509 0.777 0.000 0.708 0.004 NA
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.0895 0.849 0.000 0.976 0.004 NA
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.4776 0.800 0.712 0.000 0.016 NA
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.3074 0.842 0.000 0.848 0.000 NA
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0779 0.847 0.000 0.980 0.004 NA
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.2647 0.851 0.000 0.880 0.000 NA
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.2589 0.852 0.000 0.884 0.000 NA
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.0469 0.854 0.000 0.988 0.000 NA
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.1398 0.855 0.000 0.956 0.004 NA
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.2530 0.854 0.000 0.888 0.000 NA
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0779 0.847 0.000 0.980 0.004 NA
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.1004 0.847 0.000 0.972 0.004 NA
#> CF629C65-585D-476D-B081-3E6E0575FAE3 2 0.4936 0.728 0.008 0.652 0.000 NA
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.3801 0.818 0.000 0.780 0.000 NA
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.1022 0.855 0.968 0.000 0.032 NA
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.3266 0.836 0.000 0.832 0.000 NA
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.3726 0.836 0.788 0.000 0.000 NA
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.2281 0.867 0.904 0.000 0.000 NA
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.4477 0.762 0.000 0.688 0.000 NA
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.4283 0.797 0.000 0.740 0.004 NA
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.2647 0.851 0.000 0.880 0.000 NA
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.3217 0.862 0.860 0.000 0.012 NA
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.4585 0.745 0.000 0.668 0.000 NA
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 2 0.4677 0.756 0.004 0.680 0.000 NA
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.3837 0.817 0.000 0.776 0.000 NA
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 2 0.4431 0.768 0.000 0.696 0.000 NA
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0895 0.849 0.000 0.976 0.004 NA
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.4988 0.785 0.692 0.000 0.020 NA
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.4477 0.762 0.000 0.688 0.000 NA
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.3726 0.821 0.000 0.788 0.000 NA
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.4483 0.799 0.712 0.000 0.004 NA
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.0657 0.847 0.000 0.984 0.004 NA
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#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.1059 0.862 0.972 0.000 0.016 NA
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.1474 0.844 0.948 0.000 0.052 NA
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.1109 0.852 0.000 0.968 0.004 NA
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.3356 0.835 0.000 0.824 0.000 NA
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.1474 0.844 0.948 0.000 0.052 NA
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.3356 0.837 0.000 0.824 0.000 NA
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0779 0.847 0.000 0.980 0.004 NA
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.3913 0.176485 0.000 0.676 0.324 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.1121 0.681934 0.000 0.956 0.044 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.3561 0.551289 0.740 0.000 0.000 0.000 0.260
#> 3182DEA1-4239-4613-925A-7E6503766AD6 3 0.3895 0.743768 0.000 0.320 0.680 0.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.1792 0.648846 0.000 0.916 0.084 0.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.1792 0.648846 0.000 0.916 0.084 0.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.2329 0.620962 0.000 0.876 0.124 0.000 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.3586 0.549691 0.736 0.000 0.000 0.000 0.264
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0290 0.669184 0.992 0.000 0.008 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.2648 0.588578 0.000 0.848 0.152 0.000 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 5 0.6336 -0.544402 0.016 0.116 0.296 0.004 0.568
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.4305 0.681708 0.000 0.488 0.512 0.000 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 5 0.6336 -0.544402 0.016 0.116 0.296 0.004 0.568
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.4138 0.284795 0.616 0.000 0.000 0.000 0.384
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0290 0.669184 0.992 0.000 0.008 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.3913 0.170806 0.000 0.676 0.324 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.684425 0.000 1.000 0.000 0.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.1792 0.648846 0.000 0.916 0.084 0.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 3 0.4045 0.767048 0.000 0.356 0.644 0.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.2127 0.646297 0.000 0.892 0.108 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.2813 0.566157 0.000 0.832 0.168 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.4302 -0.144294 0.520 0.000 0.000 0.000 0.480
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0404 0.684622 0.000 0.988 0.012 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 5 0.4307 0.185690 0.496 0.000 0.000 0.000 0.504
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0609 0.690008 0.000 0.980 0.020 0.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.2648 0.588578 0.000 0.848 0.152 0.000 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.3661 0.537896 0.724 0.000 0.000 0.000 0.276
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.4242 -0.321994 0.000 0.572 0.428 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.3949 0.407000 0.668 0.000 0.000 0.000 0.332
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.4138 -0.160929 0.000 0.616 0.384 0.000 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0671 0.677371 0.980 0.000 0.004 0.000 0.016
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.1792 0.648846 0.000 0.916 0.084 0.000 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.3661 0.537896 0.724 0.000 0.000 0.000 0.276
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0290 0.669184 0.992 0.000 0.008 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.1121 0.686160 0.000 0.956 0.044 0.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.3949 0.169621 0.000 0.696 0.300 0.000 0.004
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0290 0.683965 0.000 0.992 0.008 0.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.5611 0.756880 0.008 0.408 0.528 0.000 0.056
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.2179 0.623101 0.000 0.896 0.100 0.000 0.004
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.4304 -0.163590 0.516 0.000 0.000 0.000 0.484
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.4300 -0.580997 0.000 0.524 0.476 0.000 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.3143 0.607782 0.796 0.000 0.000 0.000 0.204
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0794 0.682460 0.000 0.972 0.028 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.4210 -0.282960 0.000 0.588 0.412 0.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.2891 0.556776 0.000 0.824 0.176 0.000 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.0703 0.688094 0.000 0.976 0.024 0.000 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.4074 -0.037836 0.000 0.636 0.364 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.2813 0.563874 0.000 0.832 0.168 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.3983 0.083866 0.000 0.660 0.340 0.000 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 5 0.4307 0.185690 0.496 0.000 0.000 0.000 0.504
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.3177 0.505164 0.000 0.792 0.208 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0609 0.681708 0.000 0.980 0.020 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.1697 0.675749 0.932 0.000 0.008 0.000 0.060
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0566 0.664806 0.984 0.000 0.012 0.000 0.004
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.4138 0.763120 0.000 0.384 0.616 0.000 0.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.0290 0.686167 0.000 0.992 0.008 0.000 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.4302 -0.157960 0.520 0.000 0.000 0.000 0.480
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.3305 0.471040 0.000 0.776 0.224 0.000 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0162 0.683896 0.000 0.996 0.004 0.000 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.2929 0.550485 0.000 0.820 0.180 0.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.2891 0.556776 0.000 0.824 0.176 0.000 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.1732 0.652930 0.000 0.920 0.080 0.000 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.1197 0.682034 0.000 0.952 0.048 0.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.3715 0.351507 0.000 0.736 0.260 0.000 0.004
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0404 0.683509 0.000 0.988 0.012 0.000 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.1121 0.668701 0.000 0.956 0.044 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.4792 0.768978 0.008 0.448 0.536 0.000 0.008
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.3895 0.205198 0.000 0.680 0.320 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.1331 0.678786 0.952 0.000 0.008 0.000 0.040
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.3586 0.375434 0.000 0.736 0.264 0.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.4182 0.204351 0.600 0.000 0.000 0.000 0.400
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.3561 0.541653 0.740 0.000 0.000 0.000 0.260
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.4300 -0.580997 0.000 0.524 0.476 0.000 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.4219 0.730964 0.000 0.416 0.584 0.000 0.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.2966 0.547291 0.000 0.816 0.184 0.000 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.3366 0.578701 0.784 0.000 0.004 0.000 0.212
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.4268 -0.380490 0.000 0.556 0.444 0.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 2 0.4448 -0.609843 0.004 0.516 0.480 0.000 0.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.3774 0.271285 0.000 0.704 0.296 0.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 2 0.4294 -0.561152 0.000 0.532 0.468 0.000 0.000
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0963 0.681664 0.000 0.964 0.036 0.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 5 0.4306 0.182226 0.492 0.000 0.000 0.000 0.508
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.4300 -0.580997 0.000 0.524 0.476 0.000 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.3774 0.239628 0.000 0.704 0.296 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.4304 -0.163590 0.516 0.000 0.000 0.000 0.484
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.0000 0.684425 0.000 1.000 0.000 0.000 0.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.1270 0.686015 0.000 0.948 0.052 0.000 0.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 4 0.0162 0.000000 0.000 0.000 0.004 0.996 0.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.0880 0.688085 0.000 0.968 0.032 0.000 0.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.3366 0.442670 0.000 0.768 0.232 0.000 0.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0.4300 -0.580997 0.000 0.524 0.476 0.000 0.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.1106 0.673670 0.964 0.000 0.012 0.000 0.024
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.0162 0.686321 0.000 0.996 0.004 0.000 0.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 5 0.4307 0.185690 0.496 0.000 0.000 0.000 0.504
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0671 0.677371 0.980 0.000 0.004 0.000 0.016
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.4300 -0.580997 0.000 0.524 0.476 0.000 0.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0.4300 -0.580997 0.000 0.524 0.476 0.000 0.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.3661 0.537896 0.724 0.000 0.000 0.000 0.276
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 3 0.4201 0.770318 0.000 0.408 0.592 0.000 0.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.1965 0.671236 0.904 0.000 0.000 0.000 0.096
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.0290 0.684318 0.000 0.992 0.008 0.000 0.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.1792 0.648846 0.000 0.916 0.084 0.000 0.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.3086 0.614252 0.816 0.000 0.004 0.000 0.180
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.1197 0.682034 0.000 0.952 0.048 0.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.3661 0.537896 0.724 0.000 0.000 0.000 0.276
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.3999 0.768307 0.000 0.344 0.656 0.000 0.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.0290 0.683965 0.000 0.992 0.008 0.000 0.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0290 0.669184 0.992 0.000 0.008 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 2 0.0162 0.683896 0.000 0.996 0.004 0.000 0.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.1792 0.648846 0.000 0.916 0.084 0.000 0.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0.4300 -0.580997 0.000 0.524 0.476 0.000 0.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.4300 -0.136678 0.524 0.000 0.000 0.000 0.476
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.1124 0.680110 0.960 0.000 0.004 0.000 0.036
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.4300 -0.136678 0.524 0.000 0.000 0.000 0.476
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.1270 0.685813 0.000 0.948 0.052 0.000 0.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.4304 -0.604539 0.000 0.516 0.484 0.000 0.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.3508 0.413856 0.000 0.748 0.252 0.000 0.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.1121 0.686160 0.000 0.956 0.044 0.000 0.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.4235 -0.315088 0.000 0.576 0.424 0.000 0.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.4300 -0.580997 0.000 0.524 0.476 0.000 0.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.0609 0.681140 0.000 0.980 0.020 0.000 0.000
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 2 0.4304 -0.604539 0.000 0.516 0.484 0.000 0.000
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.1792 0.648846 0.000 0.916 0.084 0.000 0.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.3242 0.491555 0.000 0.784 0.216 0.000 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.0510 0.681949 0.000 0.984 0.016 0.000 0.000
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.4210 -0.247606 0.000 0.588 0.412 0.000 0.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.3242 0.489817 0.000 0.784 0.216 0.000 0.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0.2648 0.588578 0.000 0.848 0.152 0.000 0.000
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0671 0.677371 0.980 0.000 0.004 0.000 0.016
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.0963 0.687159 0.000 0.964 0.036 0.000 0.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.4449 0.693974 0.004 0.484 0.512 0.000 0.000
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.1168 0.678513 0.960 0.000 0.008 0.000 0.032
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.2959 0.532144 0.000 0.864 0.036 0.100 0.000
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 3 0.4430 0.768698 0.000 0.456 0.540 0.000 0.004
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 5 0.4306 0.182226 0.492 0.000 0.000 0.000 0.508
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.0963 0.688012 0.000 0.964 0.036 0.000 0.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.1410 0.675027 0.000 0.940 0.060 0.000 0.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.1608 0.677981 0.928 0.000 0.000 0.000 0.072
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.4256 -0.356323 0.000 0.564 0.436 0.000 0.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 5 0.4307 0.185690 0.496 0.000 0.000 0.000 0.504
#> E0961A30-A62C-4235-9CF0-A1776827A996 3 0.4219 0.730964 0.000 0.416 0.584 0.000 0.000
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 3 0.4219 0.730964 0.000 0.416 0.584 0.000 0.000
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 3 0.4430 0.768698 0.000 0.456 0.540 0.000 0.004
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.1043 0.688735 0.000 0.960 0.040 0.000 0.000
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0807 0.673657 0.976 0.000 0.012 0.000 0.012
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.4182 0.204351 0.600 0.000 0.000 0.000 0.400
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.0162 0.686321 0.000 0.996 0.004 0.000 0.000
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0794 0.682460 0.000 0.972 0.028 0.000 0.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0.4300 -0.580997 0.000 0.524 0.476 0.000 0.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.1410 0.681108 0.000 0.940 0.060 0.000 0.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 2 0.3522 0.458365 0.004 0.780 0.212 0.000 0.004
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.4300 -0.136678 0.524 0.000 0.000 0.000 0.476
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.1410 0.674931 0.000 0.940 0.060 0.000 0.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0290 0.669184 0.992 0.000 0.008 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0992 0.678935 0.968 0.000 0.008 0.000 0.024
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.0609 0.690008 0.000 0.980 0.020 0.000 0.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 5 0.4307 0.185690 0.496 0.000 0.000 0.000 0.504
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.1792 0.648846 0.000 0.916 0.084 0.000 0.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.0290 0.683737 0.000 0.992 0.008 0.000 0.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.4060 -0.000965 0.000 0.640 0.360 0.000 0.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 3 0.4425 0.770193 0.000 0.452 0.544 0.000 0.004
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0566 0.664806 0.984 0.000 0.012 0.000 0.004
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.4302 -0.144294 0.520 0.000 0.000 0.000 0.480
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.1792 0.648846 0.000 0.916 0.084 0.000 0.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0.4182 -0.332960 0.000 0.600 0.400 0.000 0.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.3561 0.541653 0.740 0.000 0.000 0.000 0.260
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.1106 0.673670 0.964 0.000 0.012 0.000 0.024
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.1331 0.678786 0.952 0.000 0.008 0.000 0.040
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0290 0.683737 0.000 0.992 0.008 0.000 0.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 3 0.4430 0.768698 0.000 0.456 0.540 0.000 0.004
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.3143 0.607782 0.796 0.000 0.000 0.000 0.204
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.3274 0.481729 0.000 0.780 0.220 0.000 0.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.4235 -0.308452 0.000 0.576 0.424 0.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0.1121 0.684970 0.000 0.956 0.044 0.000 0.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.2179 0.669617 0.896 0.000 0.004 0.000 0.100
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.1671 0.676305 0.924 0.000 0.000 0.000 0.076
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.4138 -0.139390 0.000 0.616 0.384 0.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.1410 0.674244 0.000 0.940 0.060 0.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.1792 0.648846 0.000 0.916 0.084 0.000 0.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.4304 -0.163590 0.516 0.000 0.000 0.000 0.484
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.0404 0.683509 0.000 0.988 0.012 0.000 0.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0290 0.669184 0.992 0.000 0.008 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.0162 0.683896 0.000 0.996 0.004 0.000 0.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.3774 0.482244 0.704 0.000 0.000 0.000 0.296
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.4304 -0.604539 0.000 0.516 0.484 0.000 0.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0404 0.685842 0.000 0.988 0.012 0.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.1043 0.686257 0.000 0.960 0.040 0.000 0.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.1043 0.686257 0.000 0.960 0.040 0.000 0.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0290 0.683737 0.000 0.992 0.008 0.000 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.4030 0.035972 0.000 0.648 0.352 0.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.4302 -0.144294 0.520 0.000 0.000 0.000 0.480
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0566 0.664806 0.984 0.000 0.012 0.000 0.004
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.4161 -0.162484 0.000 0.608 0.392 0.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.4161 0.232807 0.608 0.000 0.000 0.000 0.392
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.3508 0.407708 0.000 0.748 0.252 0.000 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.4126 0.273557 0.620 0.000 0.000 0.000 0.380
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0404 0.684622 0.000 0.988 0.012 0.000 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.4300 -0.580997 0.000 0.524 0.476 0.000 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.4171 -0.312136 0.000 0.604 0.396 0.000 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 5 0.4307 0.154930 0.500 0.000 0.000 0.000 0.500
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0290 0.683965 0.000 0.992 0.008 0.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0404 0.685842 0.000 0.988 0.012 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0162 0.686321 0.000 0.996 0.004 0.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.4235 -0.308452 0.000 0.576 0.424 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.3109 0.502473 0.000 0.800 0.200 0.000 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.1121 0.686160 0.000 0.956 0.044 0.000 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.4138 0.284795 0.616 0.000 0.000 0.000 0.384
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0566 0.664806 0.984 0.000 0.012 0.000 0.004
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.0290 0.683965 0.000 0.992 0.008 0.000 0.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.4249 -0.343696 0.000 0.568 0.432 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.1792 0.648846 0.000 0.916 0.084 0.000 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.3661 0.344353 0.000 0.724 0.276 0.000 0.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 5 0.6336 -0.544402 0.016 0.116 0.296 0.004 0.568
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 3 0.4430 0.768698 0.000 0.456 0.540 0.000 0.004
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.2124 0.670754 0.900 0.000 0.004 0.000 0.096
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0290 0.669184 0.992 0.000 0.008 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.2179 0.623101 0.000 0.896 0.100 0.000 0.004
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0880 0.683004 0.000 0.968 0.032 0.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.4256 -0.347375 0.000 0.564 0.436 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.1671 0.677003 0.924 0.000 0.000 0.000 0.076
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.0963 0.687600 0.000 0.964 0.036 0.000 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 3 0.3983 0.764042 0.000 0.340 0.660 0.000 0.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.3635 0.571073 0.748 0.000 0.004 0.000 0.248
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.1121 0.686997 0.000 0.956 0.044 0.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.2179 0.640835 0.000 0.888 0.112 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.1952 0.674516 0.912 0.000 0.004 0.000 0.084
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 5 0.4307 0.185690 0.496 0.000 0.000 0.000 0.504
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.3305 0.452566 0.000 0.776 0.224 0.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.4138 0.256614 0.616 0.000 0.000 0.000 0.384
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0404 0.683509 0.000 0.988 0.012 0.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.4425 0.770193 0.000 0.452 0.544 0.000 0.004
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0000 0.684425 0.000 1.000 0.000 0.000 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.4161 0.232807 0.608 0.000 0.000 0.000 0.392
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0404 0.683269 0.000 0.988 0.012 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0000 0.684425 0.000 1.000 0.000 0.000 0.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.1121 0.684970 0.000 0.956 0.044 0.000 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.1043 0.682724 0.000 0.960 0.040 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.2959 0.532144 0.000 0.864 0.036 0.100 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.4219 0.730964 0.000 0.416 0.584 0.000 0.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.3857 0.228724 0.000 0.688 0.312 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0451 0.667694 0.988 0.000 0.008 0.000 0.004
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 3 0.4430 0.768698 0.000 0.456 0.540 0.000 0.004
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.2813 0.566157 0.000 0.832 0.168 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.2648 0.588578 0.000 0.848 0.152 0.000 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.2648 0.596272 0.000 0.848 0.152 0.000 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.4278 -0.030137 0.548 0.000 0.000 0.000 0.452
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.1043 0.686257 0.000 0.960 0.040 0.000 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 3 0.4045 0.767048 0.000 0.356 0.644 0.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.3242 0.488064 0.000 0.784 0.216 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.684425 0.000 1.000 0.000 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.1331 0.678786 0.952 0.000 0.008 0.000 0.040
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0162 0.683896 0.000 0.996 0.004 0.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.1410 0.674741 0.000 0.940 0.060 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0290 0.669184 0.992 0.000 0.008 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0510 0.681949 0.000 0.984 0.016 0.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.4300 -0.136678 0.524 0.000 0.000 0.000 0.476
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.1043 0.682724 0.000 0.960 0.040 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.3586 0.548028 0.736 0.000 0.000 0.000 0.264
#> CE91F591-6072-4D29-9495-C78961635969 2 0.4249 -0.335025 0.000 0.568 0.432 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.1502 0.679860 0.940 0.000 0.004 0.000 0.056
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0566 0.664806 0.984 0.000 0.012 0.000 0.004
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.1043 0.682724 0.000 0.960 0.040 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.3508 0.410929 0.000 0.748 0.252 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0566 0.664806 0.984 0.000 0.012 0.000 0.004
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.3274 0.487369 0.000 0.780 0.220 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0290 0.683737 0.000 0.992 0.008 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.3531 0.44926 0.000 0.672 0.328 0.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.1075 0.77025 0.000 0.952 0.048 0.000 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.3996 0.57997 0.636 0.000 0.004 0.352 0.000 0.008
#> 3182DEA1-4239-4613-925A-7E6503766AD6 3 0.1649 0.32156 0.000 0.036 0.932 0.000 0.000 0.032
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.2135 0.69942 0.000 0.872 0.128 0.000 0.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.2135 0.69942 0.000 0.872 0.128 0.000 0.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.2527 0.67057 0.000 0.832 0.168 0.000 0.000 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.4150 0.55382 0.612 0.000 0.004 0.372 0.000 0.012
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 4 0.0291 0.91162 0.004 0.000 0.004 0.992 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.2793 0.63283 0.000 0.800 0.200 0.000 0.000 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 6 0.3583 1.00000 0.048 0.112 0.016 0.004 0.000 0.820
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.3741 0.69438 0.000 0.320 0.672 0.000 0.000 0.008
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 6 0.3583 1.00000 0.048 0.112 0.016 0.004 0.000 0.820
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.2902 0.78342 0.800 0.000 0.000 0.196 0.000 0.004
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 4 0.0291 0.91162 0.004 0.000 0.004 0.992 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.3531 0.44500 0.000 0.672 0.328 0.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0146 0.77147 0.000 0.996 0.004 0.000 0.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.2092 0.70418 0.000 0.876 0.124 0.000 0.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 3 0.2221 0.35920 0.000 0.072 0.896 0.000 0.000 0.032
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.1957 0.74694 0.000 0.888 0.112 0.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.2562 0.68994 0.000 0.828 0.172 0.000 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.2191 0.80307 0.876 0.000 0.000 0.120 0.000 0.004
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0363 0.77138 0.000 0.988 0.012 0.000 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0935 0.76971 0.964 0.000 0.000 0.032 0.000 0.004
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0713 0.77586 0.000 0.972 0.028 0.000 0.000 0.000
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#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.2969 0.63302 0.000 0.776 0.224 0.000 0.000 0.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.3823 0.09778 0.000 0.564 0.436 0.000 0.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0.1141 0.76918 0.000 0.948 0.052 0.000 0.000 0.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 4 0.3189 0.65048 0.236 0.000 0.004 0.760 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 4 0.2006 0.87050 0.104 0.000 0.004 0.892 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.3727 0.26353 0.000 0.612 0.388 0.000 0.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.1327 0.76571 0.000 0.936 0.064 0.000 0.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.2092 0.70418 0.000 0.876 0.124 0.000 0.000 0.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.1531 0.79231 0.928 0.000 0.000 0.068 0.000 0.004
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.0458 0.76997 0.000 0.984 0.016 0.000 0.000 0.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 4 0.0291 0.91162 0.004 0.000 0.004 0.992 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.0260 0.77059 0.000 0.992 0.008 0.000 0.000 0.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.3592 0.67254 0.656 0.000 0.000 0.344 0.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.3804 0.59452 0.000 0.424 0.576 0.000 0.000 0.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0458 0.77176 0.000 0.984 0.016 0.000 0.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.1075 0.77067 0.000 0.952 0.048 0.000 0.000 0.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.1075 0.77067 0.000 0.952 0.048 0.000 0.000 0.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0363 0.76994 0.000 0.988 0.012 0.000 0.000 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.3634 0.36835 0.000 0.644 0.356 0.000 0.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.1814 0.80211 0.900 0.000 0.000 0.100 0.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 4 0.0000 0.90901 0.000 0.000 0.000 1.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.3747 0.25022 0.000 0.604 0.396 0.000 0.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.3265 0.76415 0.748 0.000 0.000 0.248 0.000 0.004
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.3175 0.58541 0.000 0.744 0.256 0.000 0.000 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.3198 0.75604 0.740 0.000 0.000 0.260 0.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0363 0.77138 0.000 0.988 0.012 0.000 0.000 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.3817 0.58643 0.000 0.432 0.568 0.000 0.000 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.3866 -0.34325 0.000 0.516 0.484 0.000 0.000 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0692 0.75551 0.976 0.000 0.000 0.020 0.000 0.004
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0363 0.77048 0.000 0.988 0.012 0.000 0.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0458 0.77176 0.000 0.984 0.016 0.000 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0260 0.77326 0.000 0.992 0.008 0.000 0.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.3823 0.09778 0.000 0.564 0.436 0.000 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.3175 0.52978 0.000 0.744 0.256 0.000 0.000 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.1075 0.77184 0.000 0.952 0.048 0.000 0.000 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.2902 0.78342 0.800 0.000 0.000 0.196 0.000 0.004
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 4 0.0000 0.90901 0.000 0.000 0.000 1.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.0363 0.77048 0.000 0.988 0.012 0.000 0.000 0.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.3838 0.03980 0.000 0.552 0.448 0.000 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.2092 0.70418 0.000 0.876 0.124 0.000 0.000 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.3835 0.41592 0.000 0.668 0.320 0.000 0.000 0.012
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 6 0.3583 1.00000 0.048 0.112 0.016 0.004 0.000 0.820
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 3 0.4024 0.71472 0.000 0.264 0.700 0.000 0.000 0.036
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 4 0.3109 0.67573 0.224 0.000 0.004 0.772 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 4 0.0291 0.91162 0.004 0.000 0.004 0.992 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.3283 0.59758 0.000 0.804 0.160 0.000 0.000 0.036
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0865 0.77052 0.000 0.964 0.036 0.000 0.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.3838 0.06183 0.000 0.552 0.448 0.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 4 0.2191 0.85961 0.120 0.000 0.004 0.876 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.0937 0.77311 0.000 0.960 0.040 0.000 0.000 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 3 0.1984 0.35445 0.000 0.056 0.912 0.000 0.000 0.032
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.3534 0.67697 0.716 0.000 0.000 0.276 0.000 0.008
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.1075 0.77458 0.000 0.952 0.048 0.000 0.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.2003 0.74314 0.000 0.884 0.116 0.000 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 4 0.2378 0.81304 0.152 0.000 0.000 0.848 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0935 0.76971 0.964 0.000 0.000 0.032 0.000 0.004
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.3330 0.47068 0.000 0.716 0.284 0.000 0.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.3265 0.76905 0.748 0.000 0.000 0.248 0.000 0.004
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0458 0.76997 0.000 0.984 0.016 0.000 0.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.4002 0.71313 0.000 0.260 0.704 0.000 0.000 0.036
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0260 0.77132 0.000 0.992 0.008 0.000 0.000 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.3265 0.76415 0.748 0.000 0.000 0.248 0.000 0.004
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0458 0.76965 0.000 0.984 0.016 0.000 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0260 0.77132 0.000 0.992 0.008 0.000 0.000 0.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.1141 0.76918 0.000 0.948 0.052 0.000 0.000 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.1007 0.77075 0.000 0.956 0.044 0.000 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.3184 0.61851 0.000 0.836 0.028 0.000 0.016 0.120
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.3027 0.41171 0.000 0.148 0.824 0.000 0.000 0.028
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.3482 0.48405 0.000 0.684 0.316 0.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 4 0.0146 0.91063 0.004 0.000 0.000 0.996 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 3 0.4024 0.71472 0.000 0.264 0.700 0.000 0.000 0.036
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.2562 0.68994 0.000 0.828 0.172 0.000 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.2793 0.63283 0.000 0.800 0.200 0.000 0.000 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.2491 0.69941 0.000 0.836 0.164 0.000 0.000 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.2664 0.79143 0.816 0.000 0.000 0.184 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.1075 0.77067 0.000 0.952 0.048 0.000 0.000 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 3 0.2221 0.35920 0.000 0.072 0.896 0.000 0.000 0.032
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.2941 0.63854 0.000 0.780 0.220 0.000 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0146 0.77147 0.000 0.996 0.004 0.000 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 4 0.1267 0.90193 0.060 0.000 0.000 0.940 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0260 0.77059 0.000 0.992 0.008 0.000 0.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.1327 0.76578 0.000 0.936 0.064 0.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 4 0.0291 0.91162 0.004 0.000 0.004 0.992 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0547 0.76879 0.000 0.980 0.020 0.000 0.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.1958 0.80241 0.896 0.000 0.000 0.100 0.000 0.004
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.1007 0.77075 0.000 0.956 0.044 0.000 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.3940 0.60604 0.652 0.000 0.004 0.336 0.000 0.008
#> CE91F591-6072-4D29-9495-C78961635969 2 0.3828 0.09688 0.000 0.560 0.440 0.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 4 0.1814 0.87941 0.100 0.000 0.000 0.900 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 4 0.0000 0.90901 0.000 0.000 0.000 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.1007 0.77075 0.000 0.956 0.044 0.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.3175 0.58788 0.000 0.744 0.256 0.000 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 4 0.0000 0.90901 0.000 0.000 0.000 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.2969 0.64019 0.000 0.776 0.224 0.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0363 0.76994 0.000 0.988 0.012 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "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 17288 rows and 266 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.994 0.997 0.4341 0.566 0.566
#> 3 3 0.670 0.846 0.859 0.4031 0.789 0.627
#> 4 4 0.594 0.636 0.797 0.1365 0.939 0.837
#> 5 5 0.656 0.641 0.696 0.0831 0.856 0.582
#> 6 6 0.664 0.509 0.655 0.0481 0.922 0.684
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.000 0.998 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.000 0.998 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.000 0.995 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.000 0.998 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.000 0.998 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.000 0.998 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.000 0.998 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.000 0.995 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.000 0.995 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.000 0.998 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.722 0.753 0.800 0.200
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.000 0.998 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.722 0.753 0.800 0.200
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.000 0.995 1.000 0.000
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#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.000 0.998 0.000 1.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.141 0.976 0.980 0.020
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.000 0.998 0.000 1.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.000 0.995 1.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.000 0.995 1.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.000 0.998 0.000 1.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.000 0.998 0.000 1.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.000 0.998 0.000 1.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.000 0.995 1.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.000 0.998 0.000 1.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.000 0.998 0.000 1.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.000 0.995 1.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.000 0.998 0.000 1.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.000 0.998 0.000 1.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.000 0.995 1.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.000 0.995 1.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.000 0.998 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.000 0.995 1.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.000 0.998 0.000 1.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.000 0.998 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.000 0.998 0.000 1.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.000 0.995 1.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.000 0.998 0.000 1.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.000 0.998 0.000 1.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.000 0.998 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.000 0.998 0.000 1.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.000 0.998 0.000 1.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.000 0.998 0.000 1.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.000 0.998 0.000 1.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.000 0.995 1.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.000 0.998 0.000 1.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.000 0.998 0.000 1.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.000 0.998 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.000 0.998 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.000 0.995 1.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.000 0.998 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.000 0.998 0.000 1.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.000 0.998 0.000 1.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.000 0.998 0.000 1.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.000 0.995 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.000 0.998 0.000 1.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.000 0.998 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.000 0.995 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.000 0.998 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.000 0.995 1.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.000 0.998 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.000 0.995 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.000 0.998 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.000 0.995 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.000 0.995 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.000 0.998 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.000 0.998 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.000 0.995 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.000 0.998 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.000 0.998 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.89366 0.000 1.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.89366 0.000 1.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0237 0.92758 0.996 0.000 0.004
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.5497 0.51527 0.000 0.708 0.292
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.5327 0.95920 0.000 0.272 0.728
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.5327 0.95920 0.000 0.272 0.728
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.5327 0.95920 0.000 0.272 0.728
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.92795 1.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.3879 0.92824 0.848 0.000 0.152
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.5327 0.95920 0.000 0.272 0.728
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.6437 0.72792 0.732 0.048 0.220
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.5327 0.95920 0.000 0.272 0.728
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.6437 0.72792 0.732 0.048 0.220
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.1964 0.93047 0.944 0.000 0.056
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.3879 0.92824 0.848 0.000 0.152
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.89366 0.000 1.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0892 0.87950 0.000 0.980 0.020
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.5327 0.95920 0.000 0.272 0.728
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.4605 0.69832 0.000 0.796 0.204
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.89366 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.89366 0.000 1.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.1753 0.92068 0.952 0.000 0.048
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.89366 0.000 1.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.1753 0.92068 0.952 0.000 0.048
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.3116 0.79108 0.000 0.892 0.108
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.5327 0.95920 0.000 0.272 0.728
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.92795 1.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.89366 0.000 1.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.1964 0.93054 0.944 0.000 0.056
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0592 0.88299 0.000 0.988 0.012
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.3879 0.92824 0.848 0.000 0.152
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.5327 0.95920 0.000 0.272 0.728
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0424 0.92745 0.992 0.000 0.008
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.3879 0.92824 0.848 0.000 0.152
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.5810 0.24880 0.000 0.664 0.336
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.2066 0.85557 0.000 0.940 0.060
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.6180 -0.13000 0.000 0.584 0.416
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.5216 0.94970 0.000 0.260 0.740
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.3941 0.74170 0.000 0.844 0.156
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.1753 0.92068 0.952 0.000 0.048
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.5254 0.95704 0.000 0.264 0.736
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.3879 0.92824 0.848 0.000 0.152
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.89366 0.000 1.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.89366 0.000 1.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0000 0.89366 0.000 1.000 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.6274 -0.30934 0.000 0.544 0.456
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.89366 0.000 1.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.89366 0.000 1.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.0592 0.88299 0.000 0.988 0.012
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.1753 0.92068 0.952 0.000 0.048
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.89366 0.000 1.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.89366 0.000 1.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.3879 0.92824 0.848 0.000 0.152
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.3879 0.92824 0.848 0.000 0.152
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.6215 0.00965 0.000 0.572 0.428
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.2165 0.84130 0.000 0.936 0.064
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.1753 0.92068 0.952 0.000 0.048
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0000 0.89366 0.000 1.000 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.6026 0.07251 0.000 0.624 0.376
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.89366 0.000 1.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.89366 0.000 1.000 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.5327 0.95920 0.000 0.272 0.728
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.89366 0.000 1.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.3340 0.79211 0.000 0.880 0.120
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.6192 -0.14948 0.000 0.580 0.420
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.89366 0.000 1.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.8643 0.69306 0.188 0.212 0.600
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0237 0.89030 0.000 0.996 0.004
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.3879 0.92824 0.848 0.000 0.152
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.89366 0.000 1.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.1753 0.92068 0.952 0.000 0.048
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0747 0.92953 0.984 0.000 0.016
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.5254 0.95704 0.000 0.264 0.736
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.5760 0.41467 0.000 0.672 0.328
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.0000 0.89366 0.000 1.000 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.4002 0.92852 0.840 0.000 0.160
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.89366 0.000 1.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.5254 0.95704 0.000 0.264 0.736
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.89366 0.000 1.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.5254 0.95704 0.000 0.264 0.736
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.89366 0.000 1.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.1753 0.92068 0.952 0.000 0.048
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.5254 0.95704 0.000 0.264 0.736
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.89366 0.000 1.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.1753 0.92068 0.952 0.000 0.048
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.3412 0.76981 0.000 0.876 0.124
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.5327 0.95920 0.000 0.272 0.728
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 3 0.5178 0.94523 0.000 0.256 0.744
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.5327 0.95920 0.000 0.272 0.728
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.5254 0.95704 0.000 0.264 0.736
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.5254 0.95704 0.000 0.264 0.736
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.3879 0.92824 0.848 0.000 0.152
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.2165 0.84145 0.000 0.936 0.064
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.1753 0.92068 0.952 0.000 0.048
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.3879 0.92824 0.848 0.000 0.152
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.5254 0.95704 0.000 0.264 0.736
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.5254 0.95704 0.000 0.264 0.736
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 0.92795 1.000 0.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.0237 0.89030 0.000 0.996 0.004
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.3267 0.92929 0.884 0.000 0.116
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.2711 0.81548 0.000 0.912 0.088
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.5327 0.95920 0.000 0.272 0.728
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.3816 0.92849 0.852 0.000 0.148
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.89366 0.000 1.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0424 0.92745 0.992 0.000 0.008
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.6126 0.63099 0.000 0.400 0.600
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.6307 -0.43466 0.000 0.512 0.488
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.3879 0.92824 0.848 0.000 0.152
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 3 0.6045 0.79417 0.000 0.380 0.620
#> E769E41D-5949-42C5-9594-E563C05ACE52 3 0.5327 0.95920 0.000 0.272 0.728
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.5254 0.95704 0.000 0.264 0.736
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.1753 0.92068 0.952 0.000 0.048
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.3879 0.92824 0.848 0.000 0.152
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.1753 0.92068 0.952 0.000 0.048
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.5621 0.91535 0.000 0.308 0.692
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.5254 0.95704 0.000 0.264 0.736
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.0000 0.89366 0.000 1.000 0.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 3 0.6274 0.60580 0.000 0.456 0.544
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.89366 0.000 1.000 0.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.5254 0.95704 0.000 0.264 0.736
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.0000 0.89366 0.000 1.000 0.000
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.5254 0.95704 0.000 0.264 0.736
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 3 0.5327 0.95920 0.000 0.272 0.728
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.89366 0.000 1.000 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.0000 0.89366 0.000 1.000 0.000
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0000 0.89366 0.000 1.000 0.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0000 0.89366 0.000 1.000 0.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.5327 0.95920 0.000 0.272 0.728
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.3879 0.92824 0.848 0.000 0.152
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 3 0.5926 0.83900 0.000 0.356 0.644
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.5327 0.95920 0.000 0.272 0.728
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.3879 0.92824 0.848 0.000 0.152
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.4346 0.69152 0.000 0.816 0.184
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.0592 0.88299 0.000 0.988 0.012
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.1753 0.92068 0.952 0.000 0.048
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.6215 -0.18755 0.000 0.572 0.428
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.89366 0.000 1.000 0.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.3879 0.92824 0.848 0.000 0.152
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0000 0.89366 0.000 1.000 0.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.1753 0.92068 0.952 0.000 0.048
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.5882 0.35569 0.000 0.652 0.348
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.5098 0.61728 0.000 0.752 0.248
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.0892 0.88098 0.000 0.980 0.020
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.1964 0.84904 0.000 0.944 0.056
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.3879 0.92824 0.848 0.000 0.152
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.1753 0.92068 0.952 0.000 0.048
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.2261 0.83719 0.000 0.932 0.068
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.89366 0.000 1.000 0.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.5254 0.95704 0.000 0.264 0.736
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.89366 0.000 1.000 0.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.5216 0.94970 0.000 0.260 0.740
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.1753 0.92068 0.952 0.000 0.048
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.89366 0.000 1.000 0.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.3879 0.92824 0.848 0.000 0.152
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.3879 0.92824 0.848 0.000 0.152
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.2537 0.82440 0.000 0.920 0.080
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.1753 0.92068 0.952 0.000 0.048
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 3 0.5327 0.95920 0.000 0.272 0.728
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.0000 0.89366 0.000 1.000 0.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0000 0.89366 0.000 1.000 0.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.2878 0.83190 0.000 0.904 0.096
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.3879 0.92824 0.848 0.000 0.152
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.1753 0.92068 0.952 0.000 0.048
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 3 0.5327 0.95920 0.000 0.272 0.728
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.5254 0.95704 0.000 0.264 0.736
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.1289 0.92501 0.968 0.000 0.032
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.3879 0.92824 0.848 0.000 0.152
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.3879 0.92824 0.848 0.000 0.152
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0000 0.89366 0.000 1.000 0.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 2 0.8001 0.41220 0.136 0.652 0.212
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0892 0.92989 0.980 0.000 0.020
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.0000 0.89366 0.000 1.000 0.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.89366 0.000 1.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 3 0.5327 0.95920 0.000 0.272 0.728
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.3879 0.92824 0.848 0.000 0.152
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.3816 0.92849 0.852 0.000 0.148
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.89366 0.000 1.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.89366 0.000 1.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.5327 0.95920 0.000 0.272 0.728
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.1753 0.92068 0.952 0.000 0.048
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 3 0.5327 0.95920 0.000 0.272 0.728
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.3879 0.92824 0.848 0.000 0.152
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.6168 -0.11137 0.000 0.588 0.412
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.2711 0.93031 0.912 0.000 0.088
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.5254 0.95704 0.000 0.264 0.736
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0000 0.89366 0.000 1.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.5327 0.95920 0.000 0.272 0.728
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.5327 0.95920 0.000 0.272 0.728
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.89366 0.000 1.000 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.89366 0.000 1.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.1753 0.92068 0.952 0.000 0.048
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.3879 0.92824 0.848 0.000 0.152
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.89366 0.000 1.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.1753 0.92068 0.952 0.000 0.048
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0000 0.89366 0.000 1.000 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.1753 0.92068 0.952 0.000 0.048
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0000 0.89366 0.000 1.000 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.5254 0.95704 0.000 0.264 0.736
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.5254 0.95704 0.000 0.264 0.736
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.1753 0.92068 0.952 0.000 0.048
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 3 0.5882 0.85333 0.000 0.348 0.652
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.89366 0.000 1.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.89366 0.000 1.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.89366 0.000 1.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.5254 0.95704 0.000 0.264 0.736
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.6111 0.76100 0.000 0.396 0.604
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.1753 0.92068 0.952 0.000 0.048
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.3879 0.92824 0.848 0.000 0.152
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.6215 -0.18767 0.000 0.572 0.428
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.89366 0.000 1.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.5327 0.95920 0.000 0.272 0.728
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.1031 0.87974 0.000 0.976 0.024
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.4059 0.89079 0.860 0.012 0.128
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0592 0.88299 0.000 0.988 0.012
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.3879 0.92824 0.848 0.000 0.152
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.3879 0.92824 0.848 0.000 0.152
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.3116 0.80137 0.000 0.892 0.108
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.89366 0.000 1.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.89366 0.000 1.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.3879 0.92824 0.848 0.000 0.152
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.6168 0.72461 0.000 0.412 0.588
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.6008 0.27091 0.000 0.628 0.372
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.1289 0.93002 0.968 0.000 0.032
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.89366 0.000 1.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.89366 0.000 1.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.3816 0.92849 0.852 0.000 0.148
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.1753 0.92068 0.952 0.000 0.048
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.5254 0.95704 0.000 0.264 0.736
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.2356 0.93009 0.928 0.000 0.072
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.6192 -0.14948 0.000 0.580 0.420
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.5216 0.94970 0.000 0.260 0.740
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.1643 0.85981 0.000 0.956 0.044
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.1753 0.92068 0.952 0.000 0.048
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.89366 0.000 1.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.3816 0.73418 0.000 0.852 0.148
#> B3527517-E339-46AE-8437-65303C309015 3 0.5327 0.95920 0.000 0.272 0.728
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.89366 0.000 1.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.4702 0.64374 0.000 0.788 0.212
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.6192 0.57786 0.000 0.420 0.580
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.89366 0.000 1.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.3879 0.92824 0.848 0.000 0.152
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0592 0.88299 0.000 0.988 0.012
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.89366 0.000 1.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.5327 0.95920 0.000 0.272 0.728
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.5327 0.95920 0.000 0.272 0.728
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.1753 0.92068 0.952 0.000 0.048
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.5327 0.95920 0.000 0.272 0.728
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.4931 0.64820 0.000 0.768 0.232
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.89366 0.000 1.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0424 0.88835 0.000 0.992 0.008
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.3879 0.92824 0.848 0.000 0.152
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.5529 0.39357 0.000 0.704 0.296
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.89366 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.3879 0.92824 0.848 0.000 0.152
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0000 0.89366 0.000 1.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.1753 0.92068 0.952 0.000 0.048
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.89366 0.000 1.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.92795 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.89366 0.000 1.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.3879 0.92824 0.848 0.000 0.152
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.3879 0.92824 0.848 0.000 0.152
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.89366 0.000 1.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.89366 0.000 1.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.3879 0.92824 0.848 0.000 0.152
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.89366 0.000 1.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.89366 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.78512 0.000 1.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.2011 0.76829 0.000 0.920 0.000 0.080
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.5442 0.82068 0.636 0.000 0.028 0.336
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.7414 -0.56778 0.000 0.492 0.188 0.320
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.3307 0.70956 0.000 0.104 0.868 0.028
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.2593 0.72301 0.000 0.104 0.892 0.004
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.2593 0.72301 0.000 0.104 0.892 0.004
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.5636 0.82107 0.648 0.000 0.044 0.308
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.82663 1.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.4669 0.72339 0.000 0.104 0.796 0.100
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.8042 0.56648 0.496 0.036 0.148 0.320
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.5427 0.71291 0.000 0.100 0.736 0.164
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.8042 0.56648 0.496 0.036 0.148 0.320
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.4932 0.83169 0.728 0.000 0.032 0.240
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.82663 1.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.78512 0.000 1.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.5728 0.41316 0.000 0.708 0.104 0.188
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.2408 0.72401 0.000 0.104 0.896 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.7723 -0.74851 0.000 0.408 0.228 0.364
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.78512 0.000 1.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.2011 0.76829 0.000 0.920 0.000 0.080
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.5256 0.81224 0.596 0.000 0.012 0.392
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.2730 0.75244 0.000 0.896 0.016 0.088
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.5028 0.81109 0.596 0.000 0.004 0.400
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.6854 -0.03545 0.000 0.596 0.172 0.232
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#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.78512 0.000 1.000 0.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.5028 0.81131 0.596 0.000 0.004 0.400
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.82663 1.000 0.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.78512 0.000 1.000 0.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.4866 0.81112 0.596 0.000 0.000 0.404
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0000 0.78512 0.000 1.000 0.000 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.5352 0.81237 0.596 0.000 0.016 0.388
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.3215 0.73115 0.000 0.876 0.032 0.092
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.5633 0.70721 0.000 0.100 0.716 0.184
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.5000 0.72067 0.000 0.100 0.772 0.128
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.5028 0.81134 0.596 0.000 0.004 0.400
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 3 0.5677 0.50621 0.000 0.140 0.720 0.140
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.78512 0.000 1.000 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.3881 0.65094 0.000 0.812 0.016 0.172
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.78512 0.000 1.000 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.5594 0.70881 0.000 0.100 0.720 0.180
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.5708 0.51623 0.000 0.160 0.716 0.124
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.5440 0.81284 0.596 0.000 0.020 0.384
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.82663 1.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.6876 -0.09261 0.000 0.280 0.576 0.144
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.78512 0.000 1.000 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.2593 0.72301 0.000 0.104 0.892 0.004
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.2593 0.71536 0.000 0.904 0.016 0.080
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.6928 0.73977 0.600 0.016 0.100 0.284
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.2489 0.71527 0.000 0.912 0.020 0.068
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.82663 1.000 0.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.82663 1.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.5473 0.33470 0.000 0.724 0.084 0.192
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.2593 0.75808 0.000 0.904 0.016 0.080
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.78512 0.000 1.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0707 0.82702 0.980 0.000 0.020 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.5708 0.50201 0.000 0.160 0.716 0.124
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 4 0.7905 0.92785 0.000 0.320 0.312 0.368
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.4910 0.83033 0.704 0.000 0.020 0.276
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.2530 0.74636 0.000 0.888 0.000 0.112
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.78512 0.000 1.000 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.1520 0.82975 0.956 0.000 0.024 0.020
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.5028 0.81109 0.596 0.000 0.004 0.400
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.5633 0.70721 0.000 0.100 0.716 0.184
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.4995 0.83096 0.720 0.000 0.032 0.248
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 3 0.6956 -0.14372 0.000 0.288 0.564 0.148
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.6124 0.56702 0.000 0.084 0.640 0.276
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.6346 0.22954 0.000 0.656 0.152 0.192
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.4866 0.81112 0.596 0.000 0.000 0.404
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.2197 0.76599 0.000 0.916 0.004 0.080
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.7224 -0.29762 0.000 0.548 0.216 0.236
#> B3527517-E339-46AE-8437-65303C309015 3 0.3497 0.70343 0.000 0.104 0.860 0.036
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.1716 0.77551 0.000 0.936 0.000 0.064
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.7226 -0.47305 0.000 0.548 0.220 0.232
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.7490 -0.41314 0.000 0.196 0.476 0.328
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.78512 0.000 1.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.82663 1.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.2489 0.71527 0.000 0.912 0.020 0.068
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.2593 0.75808 0.000 0.904 0.016 0.080
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.2987 0.72647 0.000 0.104 0.880 0.016
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.5351 0.71750 0.000 0.104 0.744 0.152
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.5150 0.81142 0.596 0.000 0.008 0.396
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.2593 0.72301 0.000 0.104 0.892 0.004
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.7798 -0.81239 0.000 0.388 0.248 0.364
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.78512 0.000 1.000 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.5417 0.47565 0.000 0.732 0.088 0.180
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0592 0.82698 0.984 0.000 0.016 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.7425 -0.59550 0.000 0.420 0.412 0.168
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.1557 0.77804 0.000 0.944 0.000 0.056
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.82663 1.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.4359 0.63922 0.000 0.816 0.084 0.100
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.5150 0.81142 0.596 0.000 0.008 0.396
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.2593 0.75808 0.000 0.904 0.016 0.080
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.5277 0.82554 0.668 0.000 0.028 0.304
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.78512 0.000 1.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0707 0.82702 0.980 0.000 0.020 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.82663 1.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.2593 0.75808 0.000 0.904 0.016 0.080
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.78512 0.000 1.000 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.82663 1.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.78512 0.000 1.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.2662 0.75605 0.000 0.900 0.016 0.084
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0451 0.83146 0.000 0.988 0.000 0.008 0.004
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.3053 0.79258 0.000 0.828 0.000 0.164 0.008
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.2654 0.72245 0.900 0.000 0.016 0.040 0.044
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.7953 -0.41454 0.000 0.372 0.112 0.348 0.168
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.6688 0.62349 0.000 0.028 0.548 0.260 0.164
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.6522 0.66051 0.000 0.028 0.580 0.228 0.164
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.6522 0.66051 0.000 0.028 0.580 0.228 0.164
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.3735 0.66791 0.836 0.000 0.016 0.076 0.072
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 5 0.4262 0.94849 0.440 0.000 0.000 0.000 0.560
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.4801 0.68875 0.000 0.032 0.768 0.092 0.108
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.7914 0.21855 0.484 0.008 0.192 0.108 0.208
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.4205 0.68101 0.000 0.032 0.812 0.072 0.084
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.7914 0.21855 0.484 0.008 0.192 0.108 0.208
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.3929 0.58313 0.816 0.000 0.008 0.088 0.088
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 5 0.4262 0.94849 0.440 0.000 0.000 0.000 0.560
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0451 0.83146 0.000 0.988 0.000 0.008 0.004
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.4743 0.13570 0.000 0.472 0.016 0.512 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.6522 0.66051 0.000 0.028 0.580 0.228 0.164
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.7236 0.56421 0.000 0.224 0.080 0.536 0.160
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0451 0.83354 0.000 0.988 0.000 0.008 0.004
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.2971 0.79622 0.000 0.836 0.000 0.156 0.008
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0324 0.77394 0.992 0.000 0.004 0.004 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.3353 0.76276 0.000 0.796 0.000 0.196 0.008
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0162 0.77458 0.996 0.000 0.000 0.004 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.5215 0.47143 0.000 0.352 0.056 0.592 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.6474 0.66483 0.000 0.028 0.588 0.220 0.164
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.3796 0.66741 0.832 0.000 0.016 0.076 0.076
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0324 0.83279 0.000 0.992 0.000 0.004 0.004
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.4335 0.50994 0.784 0.000 0.008 0.088 0.120
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.2304 0.77117 0.000 0.908 0.000 0.044 0.048
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 5 0.5899 0.90401 0.444 0.000 0.008 0.076 0.472
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.6670 0.63069 0.000 0.028 0.552 0.256 0.164
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.4892 0.59537 0.748 0.000 0.016 0.112 0.124
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 5 0.4769 0.94808 0.440 0.000 0.004 0.012 0.544
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 4 0.7448 0.37606 0.000 0.172 0.240 0.504 0.084
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.5930 0.48390 0.000 0.312 0.040 0.596 0.052
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 4 0.7291 0.37553 0.000 0.144 0.224 0.536 0.096
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.7149 0.26439 0.000 0.100 0.548 0.236 0.116
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 4 0.6811 0.39187 0.000 0.416 0.080 0.444 0.060
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0162 0.77458 0.996 0.000 0.000 0.004 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.1569 0.67980 0.000 0.032 0.948 0.008 0.012
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 5 0.5170 0.93602 0.440 0.000 0.004 0.032 0.524
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.2719 0.80456 0.000 0.852 0.000 0.144 0.004
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0693 0.82737 0.000 0.980 0.000 0.012 0.008
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.2929 0.78468 0.000 0.820 0.000 0.180 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.6951 0.34851 0.000 0.112 0.240 0.564 0.084
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0451 0.83146 0.000 0.988 0.000 0.008 0.004
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.1830 0.82754 0.000 0.924 0.000 0.068 0.008
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.1300 0.81140 0.000 0.956 0.000 0.016 0.028
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0324 0.77290 0.992 0.000 0.000 0.004 0.004
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0290 0.83434 0.000 0.992 0.000 0.008 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.2886 0.80229 0.000 0.844 0.000 0.148 0.008
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 5 0.4627 0.94423 0.444 0.000 0.000 0.012 0.544
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 5 0.4262 0.94849 0.440 0.000 0.000 0.000 0.560
#> C1113977-B160-45EE-B061-750F9EA3F33F 4 0.7602 0.49229 0.000 0.172 0.148 0.516 0.164
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 4 0.5041 0.36807 0.000 0.404 0.028 0.564 0.004
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0566 0.77262 0.984 0.000 0.004 0.012 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0451 0.83146 0.000 0.988 0.000 0.008 0.004
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 4 0.6817 0.43871 0.000 0.144 0.228 0.572 0.056
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.2848 0.79679 0.000 0.840 0.000 0.156 0.004
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.2929 0.78468 0.000 0.820 0.000 0.180 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.6522 0.66051 0.000 0.028 0.580 0.228 0.164
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.3171 0.78309 0.000 0.816 0.000 0.176 0.008
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 4 0.6171 0.51376 0.000 0.296 0.060 0.592 0.052
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 4 0.7609 0.25844 0.000 0.120 0.264 0.484 0.132
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.2674 0.80610 0.000 0.856 0.000 0.140 0.004
#> CF629C65-585D-476D-B081-3E6E0575FAE3 4 0.8229 0.02808 0.068 0.056 0.336 0.424 0.116
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0451 0.83146 0.000 0.988 0.000 0.008 0.004
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 5 0.6039 0.89642 0.444 0.000 0.012 0.080 0.464
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0451 0.83146 0.000 0.988 0.000 0.008 0.004
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0771 0.77036 0.976 0.000 0.004 0.020 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.4037 0.58592 0.808 0.000 0.008 0.088 0.096
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.1569 0.67980 0.000 0.032 0.948 0.008 0.012
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 4 0.7168 0.54195 0.000 0.168 0.116 0.568 0.148
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.2966 0.78120 0.000 0.816 0.000 0.184 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.5775 -0.75629 0.512 0.000 0.008 0.068 0.412
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0693 0.82737 0.000 0.980 0.000 0.012 0.008
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#> CAE8097F-A139-4C6E-9E30-35080475FF34 4 0.4909 0.34983 0.000 0.412 0.028 0.560 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0162 0.77458 0.996 0.000 0.000 0.004 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.3053 0.79164 0.000 0.828 0.000 0.164 0.008
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 4 0.5290 0.54881 0.000 0.300 0.076 0.624 0.000
#> B3527517-E339-46AE-8437-65303C309015 3 0.6805 0.58576 0.000 0.028 0.520 0.288 0.164
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.2806 0.80049 0.000 0.844 0.000 0.152 0.004
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 4 0.7539 0.49177 0.000 0.372 0.116 0.412 0.100
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.7811 0.34482 0.000 0.132 0.232 0.472 0.164
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0324 0.83279 0.000 0.992 0.000 0.004 0.004
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 5 0.4262 0.94849 0.440 0.000 0.000 0.000 0.560
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.4294 0.61017 0.000 0.776 0.004 0.148 0.072
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.3132 0.78556 0.000 0.820 0.000 0.172 0.008
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.6449 0.66600 0.000 0.028 0.592 0.216 0.164
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.3376 0.65097 0.000 0.032 0.848 0.108 0.012
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0324 0.77394 0.992 0.000 0.004 0.004 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.6522 0.66051 0.000 0.028 0.580 0.228 0.164
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 4 0.7312 0.55955 0.000 0.224 0.084 0.528 0.164
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0451 0.83146 0.000 0.988 0.000 0.008 0.004
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.4446 0.06092 0.000 0.520 0.000 0.476 0.004
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 5 0.5741 0.91627 0.440 0.000 0.004 0.072 0.484
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 4 0.6980 0.46914 0.000 0.180 0.176 0.572 0.072
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.2674 0.80610 0.000 0.856 0.000 0.140 0.004
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 5 0.4262 0.94849 0.440 0.000 0.000 0.000 0.560
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.4288 0.34135 0.000 0.612 0.000 0.384 0.004
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0324 0.77394 0.992 0.000 0.004 0.004 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.3053 0.79051 0.000 0.828 0.000 0.164 0.008
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.3558 0.63719 0.840 0.000 0.016 0.036 0.108
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0451 0.83189 0.000 0.988 0.000 0.008 0.004
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 5 0.5852 0.90794 0.444 0.000 0.008 0.072 0.476
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 5 0.4262 0.94849 0.440 0.000 0.000 0.000 0.560
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.2930 0.79266 0.000 0.832 0.000 0.164 0.004
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0451 0.83146 0.000 0.988 0.000 0.008 0.004
#> 735D1DE3-D781-4F89-A395-09974057BBB7 5 0.4670 0.94846 0.440 0.000 0.004 0.008 0.548
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0404 0.83400 0.000 0.988 0.000 0.012 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.3246 0.77504 0.000 0.808 0.000 0.184 0.008
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0146 0.6867 0.000 0.996 0.000 0.004 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.5015 0.5645 0.000 0.628 0.000 0.284 0.076 0.012
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.3702 0.5637 0.820 0.000 0.000 0.064 0.040 0.076
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.8022 -0.2723 0.000 0.360 0.048 0.244 0.244 0.104
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.0622 0.6338 0.000 0.008 0.980 0.012 0.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.0405 0.6312 0.000 0.008 0.988 0.004 0.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0405 0.6312 0.000 0.008 0.988 0.004 0.000 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.4679 0.5049 0.740 0.000 0.000 0.056 0.068 0.136
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 5 0.4093 0.9422 0.440 0.000 0.004 0.000 0.552 0.004
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.2473 0.3406 0.000 0.008 0.856 0.000 0.000 0.136
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.8125 0.1714 0.372 0.000 0.096 0.076 0.188 0.268
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.4450 -0.3435 0.000 0.008 0.628 0.000 0.028 0.336
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.8125 0.1714 0.372 0.000 0.096 0.076 0.188 0.268
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.4840 0.3661 0.728 0.000 0.000 0.112 0.112 0.048
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 5 0.4093 0.9422 0.440 0.000 0.004 0.000 0.552 0.004
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0291 0.6840 0.000 0.992 0.000 0.000 0.004 0.004
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.4146 0.4865 0.000 0.288 0.036 0.676 0.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0405 0.6312 0.000 0.008 0.988 0.004 0.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.8203 0.4966 0.000 0.140 0.140 0.400 0.232 0.088
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.1933 0.6883 0.000 0.924 0.000 0.032 0.032 0.012
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.5015 0.5661 0.000 0.628 0.000 0.284 0.076 0.012
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0146 0.6557 0.996 0.000 0.000 0.004 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.5419 0.4954 0.000 0.576 0.008 0.328 0.076 0.012
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0146 0.6556 0.996 0.000 0.000 0.000 0.000 0.004
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.4899 0.5930 0.000 0.212 0.072 0.692 0.016 0.008
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.0551 0.6184 0.000 0.008 0.984 0.000 0.004 0.004
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.4679 0.5049 0.740 0.000 0.000 0.056 0.068 0.136
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0458 0.6875 0.000 0.984 0.000 0.016 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.4882 0.3552 0.724 0.000 0.000 0.112 0.116 0.048
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.3424 0.5593 0.000 0.840 0.000 0.052 0.044 0.064
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.5910 -0.8043 0.440 0.000 0.000 0.096 0.432 0.032
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.0891 0.6339 0.000 0.008 0.968 0.024 0.000 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.5912 0.3970 0.604 0.000 0.000 0.072 0.100 0.224
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 5 0.4093 0.9402 0.440 0.000 0.000 0.004 0.552 0.004
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 4 0.6476 0.2947 0.000 0.084 0.372 0.468 0.064 0.012
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.6746 0.5404 0.000 0.184 0.044 0.580 0.072 0.120
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 3 0.5707 0.0400 0.000 0.088 0.484 0.408 0.008 0.012
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 6 0.7783 0.1534 0.000 0.112 0.128 0.148 0.120 0.492
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.7617 -0.2976 0.000 0.368 0.044 0.352 0.080 0.156
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0146 0.6556 0.996 0.000 0.000 0.000 0.000 0.004
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 6 0.3982 0.8830 0.000 0.004 0.460 0.000 0.000 0.536
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 5 0.4924 0.9024 0.440 0.000 0.000 0.028 0.512 0.020
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.4921 0.5839 0.000 0.648 0.000 0.264 0.076 0.012
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0951 0.6875 0.000 0.968 0.000 0.008 0.020 0.004
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.4832 0.5235 0.000 0.612 0.000 0.324 0.056 0.008
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.4932 0.0198 0.000 0.044 0.480 0.468 0.000 0.008
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0551 0.6818 0.000 0.984 0.000 0.008 0.004 0.004
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.4271 0.6383 0.000 0.744 0.000 0.172 0.072 0.012
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.2335 0.6223 0.000 0.904 0.000 0.024 0.028 0.044
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0291 0.6545 0.992 0.000 0.000 0.000 0.004 0.004
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.2272 0.6871 0.000 0.900 0.000 0.056 0.040 0.004
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.4792 0.5967 0.000 0.672 0.000 0.240 0.076 0.012
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 5 0.4606 0.9266 0.440 0.000 0.004 0.012 0.532 0.012
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 5 0.3961 0.9437 0.440 0.000 0.000 0.000 0.556 0.004
#> C1113977-B160-45EE-B061-750F9EA3F33F 4 0.8214 0.4686 0.000 0.124 0.160 0.396 0.232 0.088
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 4 0.4551 0.5449 0.000 0.260 0.064 0.672 0.000 0.004
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0405 0.6546 0.988 0.000 0.000 0.004 0.000 0.008
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.1478 0.6848 0.000 0.944 0.000 0.032 0.020 0.004
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 4 0.4995 0.3763 0.000 0.064 0.304 0.620 0.004 0.008
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.4704 0.5802 0.000 0.660 0.000 0.272 0.056 0.012
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.5004 0.5246 0.000 0.604 0.000 0.316 0.072 0.008
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.0405 0.6312 0.000 0.008 0.988 0.004 0.000 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.5113 0.5373 0.000 0.604 0.000 0.308 0.076 0.012
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 4 0.7062 0.5396 0.000 0.180 0.056 0.552 0.076 0.136
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 3 0.5724 0.1464 0.000 0.060 0.532 0.368 0.028 0.012
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.4488 0.6072 0.000 0.704 0.000 0.224 0.060 0.012
#> CF629C65-585D-476D-B081-3E6E0575FAE3 6 0.8943 -0.1655 0.024 0.164 0.128 0.284 0.104 0.296
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0436 0.6820 0.000 0.988 0.000 0.004 0.004 0.004
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.6006 -0.7774 0.440 0.000 0.000 0.116 0.416 0.028
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0436 0.6838 0.000 0.988 0.000 0.004 0.004 0.004
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.1003 0.6484 0.964 0.000 0.000 0.016 0.000 0.020
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.4598 0.4477 0.748 0.000 0.000 0.124 0.080 0.048
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 6 0.3982 0.8830 0.000 0.004 0.460 0.000 0.000 0.536
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 4 0.7997 0.4997 0.000 0.116 0.140 0.432 0.228 0.084
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.4935 0.5196 0.000 0.604 0.000 0.324 0.064 0.008
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.5791 -0.7253 0.484 0.000 0.000 0.092 0.396 0.028
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0436 0.6820 0.000 0.988 0.000 0.004 0.004 0.004
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 6 0.3995 0.8476 0.000 0.004 0.480 0.000 0.000 0.516
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.1088 0.6905 0.000 0.960 0.000 0.024 0.016 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 6 0.3982 0.8830 0.000 0.004 0.460 0.000 0.000 0.536
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.4979 0.5736 0.000 0.636 0.000 0.276 0.076 0.012
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.3676 0.5301 0.808 0.000 0.000 0.020 0.052 0.120
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 6 0.3982 0.8830 0.000 0.004 0.460 0.000 0.000 0.536
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0653 0.6851 0.000 0.980 0.000 0.012 0.004 0.004
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0146 0.6556 0.996 0.000 0.000 0.000 0.000 0.004
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 4 0.4954 0.5962 0.000 0.208 0.072 0.692 0.020 0.008
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.0622 0.6073 0.000 0.008 0.980 0.000 0.000 0.012
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 3 0.4360 0.4924 0.000 0.004 0.780 0.084 0.076 0.056
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.3874 0.5148 0.000 0.008 0.712 0.268 0.004 0.008
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 6 0.3995 0.8483 0.000 0.004 0.480 0.000 0.000 0.516
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 6 0.3982 0.8830 0.000 0.004 0.460 0.000 0.000 0.536
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 5 0.5561 0.8487 0.440 0.000 0.000 0.072 0.464 0.024
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 4 0.4540 0.5637 0.000 0.244 0.052 0.692 0.008 0.004
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0000 0.6555 1.000 0.000 0.000 0.000 0.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 5 0.3828 0.9426 0.440 0.000 0.000 0.000 0.560 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 6 0.3982 0.8830 0.000 0.004 0.460 0.000 0.000 0.536
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 6 0.3982 0.8830 0.000 0.004 0.460 0.000 0.000 0.536
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.4911 0.4852 0.716 0.000 0.000 0.056 0.072 0.156
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.3036 0.5796 0.000 0.864 0.000 0.052 0.032 0.052
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.6281 -0.6433 0.476 0.000 0.000 0.124 0.352 0.048
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 4 0.5235 0.4960 0.000 0.284 0.076 0.620 0.016 0.004
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.0405 0.6200 0.000 0.008 0.988 0.000 0.000 0.004
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.6184 -0.7231 0.456 0.000 0.000 0.112 0.388 0.044
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.2081 0.6872 0.000 0.916 0.000 0.036 0.036 0.012
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.5520 0.4425 0.652 0.000 0.000 0.068 0.084 0.196
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 4 0.8623 0.2266 0.000 0.096 0.148 0.292 0.232 0.232
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 3 0.5129 0.1439 0.000 0.044 0.520 0.420 0.008 0.008
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 5 0.4093 0.9422 0.440 0.000 0.004 0.000 0.552 0.004
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 3 0.4528 0.2151 0.000 0.020 0.544 0.428 0.000 0.008
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#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.5750 0.1625 0.000 0.468 0.040 0.432 0.056 0.004
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0146 0.6557 0.996 0.000 0.000 0.004 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.5050 0.5573 0.000 0.620 0.000 0.292 0.076 0.012
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.4235 0.5183 0.784 0.000 0.000 0.068 0.072 0.076
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0551 0.6855 0.000 0.984 0.000 0.008 0.004 0.004
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.5977 -0.7829 0.440 0.000 0.000 0.112 0.420 0.028
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 5 0.3961 0.9437 0.440 0.000 0.000 0.000 0.556 0.004
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.5050 0.5573 0.000 0.620 0.000 0.292 0.076 0.012
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0146 0.6867 0.000 0.996 0.000 0.004 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 5 0.3961 0.9414 0.440 0.000 0.000 0.004 0.556 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.2009 0.6893 0.000 0.916 0.000 0.040 0.040 0.004
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.5184 0.5517 0.000 0.616 0.004 0.292 0.076 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["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 17288 rows and 266 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.987 0.994 0.4491 0.553 0.553
#> 3 3 0.973 0.939 0.976 0.4609 0.778 0.602
#> 4 4 0.814 0.682 0.835 0.1181 0.927 0.791
#> 5 5 0.788 0.667 0.807 0.0457 0.924 0.748
#> 6 6 0.777 0.636 0.705 0.0467 0.898 0.619
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.994 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.994 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.995 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0000 0.994 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.0000 0.994 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.0000 0.994 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.0000 0.994 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.995 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.995 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.0000 0.994 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0000 0.995 1.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.0000 0.994 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0000 0.995 1.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.995 1.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.995 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.994 0.000 1.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.994 0.000 1.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.0000 0.994 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0000 0.994 0.000 1.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.994 0.000 1.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.994 0.000 1.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.995 1.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.994 0.000 1.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.995 1.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0000 0.994 0.000 1.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.0000 0.994 0.000 1.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.995 1.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.994 0.000 1.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.995 1.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.994 0.000 1.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.995 1.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.0000 0.994 0.000 1.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 0.995 1.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.995 1.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.994 0.000 1.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.4022 0.912 0.080 0.920
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0000 0.994 0.000 1.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 1 0.7219 0.753 0.800 0.200
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.2948 0.942 0.052 0.948
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.995 1.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.0000 0.994 0.000 1.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.995 1.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.994 0.000 1.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.994 0.000 1.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0000 0.994 0.000 1.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.0000 0.994 0.000 1.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.994 0.000 1.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.994 0.000 1.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.0000 0.994 0.000 1.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.995 1.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.994 0.000 1.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.994 0.000 1.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.995 1.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.995 1.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.0000 0.994 0.000 1.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.0000 0.994 0.000 1.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.995 1.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0000 0.994 0.000 1.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0000 0.994 0.000 1.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.994 0.000 1.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.994 0.000 1.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.0000 0.994 0.000 1.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.994 0.000 1.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.6623 0.795 0.172 0.828
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0000 0.994 0.000 1.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.994 0.000 1.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 1 0.0000 0.995 1.000 0.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.994 0.000 1.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.995 1.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.994 0.000 1.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.995 1.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.995 1.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.0000 0.994 0.000 1.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.0000 0.994 0.000 1.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.0000 0.994 0.000 1.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.995 1.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.994 0.000 1.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 1 0.7602 0.721 0.780 0.220
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.994 0.000 1.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 2 0.0000 0.994 0.000 1.000
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.994 0.000 1.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0000 0.995 1.000 0.000
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.0000 0.994 0.000 1.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.994 0.000 1.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 0.995 1.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.0000 0.994 0.000 1.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.0000 0.994 0.000 1.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.0000 0.994 0.000 1.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.0000 0.994 0.000 1.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.0000 0.994 0.000 1.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0.0000 0.994 0.000 1.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.995 1.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.0000 0.994 0.000 1.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0000 0.995 1.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.995 1.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.0000 0.994 0.000 1.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0.0000 0.994 0.000 1.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 0.995 1.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.0000 0.994 0.000 1.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.995 1.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.0000 0.994 0.000 1.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.0000 0.994 0.000 1.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.995 1.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.994 0.000 1.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0000 0.995 1.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.0000 0.994 0.000 1.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.0000 0.994 0.000 1.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.995 1.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 2 0.0000 0.994 0.000 1.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.0000 0.994 0.000 1.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0.0000 0.994 0.000 1.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0000 0.995 1.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.995 1.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0000 0.995 1.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.0000 0.994 0.000 1.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.0000 0.994 0.000 1.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.0000 0.994 0.000 1.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.0000 0.994 0.000 1.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.994 0.000 1.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.0000 0.994 0.000 1.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.0000 0.994 0.000 1.000
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 2 0.0000 0.994 0.000 1.000
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.0000 0.994 0.000 1.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.994 0.000 1.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.0000 0.994 0.000 1.000
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0000 0.994 0.000 1.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0000 0.994 0.000 1.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0.0000 0.994 0.000 1.000
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.995 1.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.0000 0.994 0.000 1.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 2 0.0000 0.994 0.000 1.000
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.995 1.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.0000 0.994 0.000 1.000
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.5294 0.864 0.120 0.880
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0000 0.995 1.000 0.000
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.0000 0.994 0.000 1.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.994 0.000 1.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.995 1.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0000 0.994 0.000 1.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0000 0.995 1.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.0000 0.994 0.000 1.000
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.0000 0.994 0.000 1.000
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.9710 0.343 0.400 0.600
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.0000 0.994 0.000 1.000
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.995 1.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0000 0.995 1.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.0000 0.994 0.000 1.000
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.994 0.000 1.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0.0000 0.994 0.000 1.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.994 0.000 1.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 1 0.0000 0.995 1.000 0.000
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0000 0.995 1.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.994 0.000 1.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.995 1.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.995 1.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.0000 0.994 0.000 1.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0000 0.995 1.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.0000 0.994 0.000 1.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.0000 0.994 0.000 1.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0000 0.994 0.000 1.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.0376 0.990 0.004 0.996
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.995 1.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 0.995 1.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.0000 0.994 0.000 1.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0.0000 0.994 0.000 1.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0000 0.995 1.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.995 1.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.995 1.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0000 0.994 0.000 1.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 1 0.0000 0.995 1.000 0.000
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 0.995 1.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.0000 0.994 0.000 1.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.994 0.000 1.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0.0000 0.994 0.000 1.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.995 1.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.995 1.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.994 0.000 1.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.994 0.000 1.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.0000 0.994 0.000 1.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0000 0.995 1.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.0000 0.994 0.000 1.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.995 1.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.0000 0.994 0.000 1.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0000 0.995 1.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.0000 0.994 0.000 1.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0000 0.994 0.000 1.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.0000 0.994 0.000 1.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.0000 0.994 0.000 1.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.994 0.000 1.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.994 0.000 1.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.995 1.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.995 1.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.994 0.000 1.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0000 0.995 1.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0000 0.994 0.000 1.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 0.995 1.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0000 0.994 0.000 1.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.0000 0.994 0.000 1.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.0000 0.994 0.000 1.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.995 1.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0000 0.994 0.000 1.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.994 0.000 1.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.994 0.000 1.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.994 0.000 1.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.0000 0.994 0.000 1.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.0000 0.994 0.000 1.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.995 1.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.995 1.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.0000 0.994 0.000 1.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.994 0.000 1.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.0000 0.994 0.000 1.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.0000 0.994 0.000 1.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0000 0.995 1.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.6438 0.807 0.164 0.836
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.995 1.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.995 1.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.0000 0.994 0.000 1.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.994 0.000 1.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.994 0.000 1.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.995 1.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.0000 0.994 0.000 1.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.0000 0.994 0.000 1.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.995 1.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.994 0.000 1.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.994 0.000 1.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.995 1.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.995 1.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.0000 0.994 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.995 1.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.994 0.000 1.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.0000 0.994 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0000 0.994 0.000 1.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.995 1.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.994 0.000 1.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0000 0.994 0.000 1.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.0000 0.994 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.994 0.000 1.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0000 0.994 0.000 1.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.0000 0.994 0.000 1.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.994 0.000 1.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.995 1.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.4022 0.912 0.080 0.920
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.994 0.000 1.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.0000 0.994 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.0000 0.994 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.995 1.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.0000 0.994 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.994 0.000 1.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.994 0.000 1.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.994 0.000 1.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.995 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.994 0.000 1.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.994 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.995 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0000 0.994 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.995 1.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.994 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.995 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.994 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.995 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.995 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.994 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.994 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.995 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.994 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.994 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.9751 0.000 1.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.9751 0.000 1.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9999 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0000 0.9751 0.000 1.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.0000 0.9402 0.000 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.0000 0.9402 0.000 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0000 0.9402 0.000 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.9999 1.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9999 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0000 0.9402 0.000 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0000 0.9999 1.000 0.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0000 0.9402 0.000 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0000 0.9999 1.000 0.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9999 1.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9999 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.9751 0.000 1.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.9751 0.000 1.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0000 0.9402 0.000 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0424 0.9678 0.000 0.992 0.008
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.9751 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.9751 0.000 1.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.9999 1.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.9751 0.000 1.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.9999 1.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0000 0.9751 0.000 1.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.0000 0.9402 0.000 0.000 1.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.9999 1.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.9751 0.000 1.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.9999 1.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.9751 0.000 1.000 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.9999 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.0000 0.9402 0.000 0.000 1.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 0.9999 1.000 0.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.9999 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.6299 0.0133 0.000 0.524 0.476
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.0000 0.9751 0.000 1.000 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 3 0.6045 0.4308 0.000 0.380 0.620
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.1832 0.9070 0.036 0.008 0.956
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.0000 0.9751 0.000 1.000 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.9999 1.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0000 0.9402 0.000 0.000 1.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9999 1.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.9751 0.000 1.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.9751 0.000 1.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0000 0.9751 0.000 1.000 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.3941 0.7976 0.000 0.156 0.844
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.9751 0.000 1.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.9751 0.000 1.000 0.000
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#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.9999 1.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 3 0.6008 0.4495 0.000 0.372 0.628
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.0000 0.9402 0.000 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0000 0.9751 0.000 1.000 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.9999 1.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.9751 0.000 1.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0592 0.9642 0.000 0.988 0.012
#> B3527517-E339-46AE-8437-65303C309015 3 0.0000 0.9402 0.000 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.9751 0.000 1.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0000 0.9751 0.000 1.000 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.6126 0.3481 0.000 0.400 0.600
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.9751 0.000 1.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9999 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0000 0.9751 0.000 1.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.9751 0.000 1.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0000 0.9402 0.000 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.9402 0.000 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.9999 1.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0000 0.9402 0.000 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0892 0.9562 0.000 0.980 0.020
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.9751 0.000 1.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.9751 0.000 1.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9999 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.5650 0.5102 0.000 0.688 0.312
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.9751 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9999 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0000 0.9751 0.000 1.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.9999 1.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.9751 0.000 1.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.9999 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.9751 0.000 1.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9999 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9999 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.9751 0.000 1.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.9751 0.000 1.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9999 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.9751 0.000 1.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.9751 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.5710 0.000 1.000 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0188 0.9935 0.996 0.000 0.000 0.004
#> 3182DEA1-4239-4613-925A-7E6503766AD6 4 0.3307 0.2674 0.000 0.104 0.028 0.868
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.3486 0.8197 0.000 0.000 0.812 0.188
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.3486 0.8197 0.000 0.000 0.812 0.188
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.3486 0.8197 0.000 0.000 0.812 0.188
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0188 0.9935 0.996 0.000 0.000 0.004
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.2921 0.8232 0.000 0.000 0.860 0.140
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0336 0.8200 0.000 0.000 0.992 0.008
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0188 0.9934 0.996 0.000 0.000 0.004
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.4830 -0.2518 0.000 0.608 0.000 0.392
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.3486 0.8197 0.000 0.000 0.812 0.188
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.5250 0.5539 0.000 0.440 0.008 0.552
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.5710 0.000 1.000 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0592 0.5554 0.000 0.984 0.000 0.016
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.5472 -0.3683 0.000 0.544 0.016 0.440
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.3400 0.8212 0.000 0.000 0.820 0.180
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0188 0.9935 0.996 0.000 0.000 0.004
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0188 0.9934 0.996 0.000 0.000 0.004
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.4817 0.6330 0.000 0.612 0.000 0.388
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.3486 0.8197 0.000 0.000 0.812 0.188
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0592 0.9851 0.984 0.000 0.000 0.016
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.7786 -0.5207 0.000 0.424 0.268 0.308
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.4955 -0.3404 0.000 0.556 0.000 0.444
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 4 0.6222 0.6155 0.000 0.304 0.080 0.616
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 4 0.4989 -0.0388 0.000 0.000 0.472 0.528
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 4 0.4079 0.3071 0.000 0.020 0.180 0.800
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.5710 0.000 1.000 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0000 0.5710 0.000 1.000 0.000 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.6396 0.6155 0.000 0.360 0.076 0.564
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.4679 0.6521 0.000 0.648 0.000 0.352
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.4761 0.6440 0.000 0.628 0.000 0.372
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0336 0.5737 0.000 0.992 0.000 0.008
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 4 0.7086 0.3810 0.000 0.160 0.292 0.548
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.4830 -0.2518 0.000 0.608 0.000 0.392
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 4 0.6240 0.6174 0.000 0.368 0.064 0.568
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.5710 0.000 1.000 0.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.5710 0.000 1.000 0.000 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.3486 0.8197 0.000 0.000 0.812 0.188
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0188 0.5676 0.000 0.996 0.000 0.004
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.4961 -0.3476 0.000 0.552 0.000 0.448
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 4 0.7723 0.4806 0.000 0.364 0.228 0.408
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.5710 0.000 1.000 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 1 0.5578 0.6728 0.728 0.000 0.128 0.144
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 4 0.5016 0.5911 0.000 0.396 0.004 0.600
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.0000 0.5710 0.000 1.000 0.000 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0188 0.9934 0.996 0.000 0.000 0.004
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.0804 0.8087 0.000 0.012 0.980 0.008
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.5710 0.000 1.000 0.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.4948 -0.3387 0.000 0.560 0.000 0.440
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.3400 0.8212 0.000 0.000 0.820 0.180
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 3 0.4222 0.7425 0.000 0.000 0.728 0.272
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.4877 0.5125 0.000 0.000 0.592 0.408
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.4916 -0.3113 0.000 0.576 0.000 0.424
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0188 0.9935 0.996 0.000 0.000 0.004
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.5571 0.6025 0.000 0.580 0.024 0.396
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.3208 0.3358 0.000 0.848 0.004 0.148
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.3400 0.8212 0.000 0.000 0.820 0.180
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0592 0.9851 0.984 0.000 0.000 0.016
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 4 0.5771 -0.0459 0.000 0.028 0.460 0.512
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 4 0.6562 0.6100 0.000 0.360 0.088 0.552
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 4 0.7665 0.4963 0.000 0.360 0.216 0.424
#> E769E41D-5949-42C5-9594-E563C05ACE52 3 0.3486 0.8197 0.000 0.000 0.812 0.188
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.4955 0.1124 0.000 0.000 0.556 0.444
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 87F8A33F-FBC3-469E-862B-84472F796358 3 0.3913 0.6615 0.000 0.148 0.824 0.028
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.0592 0.5554 0.000 0.984 0.000 0.016
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 3 0.3486 0.8197 0.000 0.000 0.812 0.188
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.0592 0.5554 0.000 0.984 0.000 0.016
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0000 0.5710 0.000 1.000 0.000 0.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.3400 0.8212 0.000 0.000 0.820 0.180
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 3 0.7665 -0.0553 0.000 0.360 0.424 0.216
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.0188 0.8196 0.000 0.000 0.996 0.004
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 4 0.4925 0.5671 0.000 0.428 0.000 0.572
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.5526 0.5883 0.000 0.564 0.020 0.416
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 74868C37-8143-4306-81CA-E45759D146CD 4 0.7495 0.5357 0.000 0.368 0.184 0.448
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> E0961A30-A62C-4235-9CF0-A1776827A996 4 0.5360 0.5591 0.000 0.436 0.012 0.552
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 4 0.5360 0.5591 0.000 0.436 0.012 0.552
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 4 0.8095 -0.3525 0.184 0.380 0.020 0.416
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.4948 -0.3387 0.000 0.560 0.000 0.440
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.4830 -0.2518 0.000 0.608 0.000 0.392
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.5710 0.000 1.000 0.000 0.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.5710 0.000 1.000 0.000 0.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.2281 0.8218 0.000 0.000 0.904 0.096
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.4072 0.6323 0.000 0.748 0.000 0.252
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.4817 -0.2349 0.000 0.612 0.000 0.388
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 3 0.3486 0.8197 0.000 0.000 0.812 0.188
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.0592 0.5554 0.000 0.984 0.000 0.016
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 4 0.4552 0.1203 0.000 0.172 0.044 0.784
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 3 0.3486 0.8197 0.000 0.000 0.812 0.188
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0188 0.9935 0.996 0.000 0.000 0.004
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0592 0.5554 0.000 0.984 0.000 0.016
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 4 0.7077 -0.0309 0.412 0.004 0.108 0.476
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.1474 0.5839 0.000 0.948 0.000 0.052
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 3 0.3486 0.8197 0.000 0.000 0.812 0.188
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.4103 0.6332 0.000 0.744 0.000 0.256
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.3400 0.8212 0.000 0.000 0.820 0.180
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 3 0.3486 0.8197 0.000 0.000 0.812 0.188
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 4 0.7379 0.5527 0.000 0.364 0.168 0.468
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0188 0.5724 0.000 0.996 0.000 0.004
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.3486 0.8197 0.000 0.000 0.812 0.188
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.4793 0.7674 0.000 0.040 0.756 0.204
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0592 0.5554 0.000 0.984 0.000 0.016
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0817 0.5456 0.000 0.976 0.000 0.024
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.0469 0.8190 0.000 0.000 0.988 0.012
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 3 0.5775 0.4480 0.000 0.032 0.560 0.408
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.4790 -0.2293 0.000 0.620 0.000 0.380
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.6396 0.0551 0.000 0.360 0.564 0.076
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 4 0.7770 0.4612 0.000 0.364 0.240 0.396
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.3486 0.8197 0.000 0.000 0.812 0.188
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.5400 0.6271 0.000 0.608 0.020 0.372
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.4843 0.6268 0.000 0.604 0.000 0.396
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 4 0.4646 0.2072 0.000 0.120 0.084 0.796
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.5710 0.000 1.000 0.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.7625 -0.2175 0.000 0.360 0.432 0.208
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 4 0.7011 0.5821 0.000 0.300 0.148 0.552
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0188 0.9935 0.996 0.000 0.000 0.004
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.3942 0.1478 0.000 0.764 0.000 0.236
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0336 0.8184 0.000 0.000 0.992 0.008
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0188 0.9934 0.996 0.000 0.000 0.004
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 4 0.7723 0.4806 0.000 0.364 0.228 0.408
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.4941 0.1188 0.000 0.000 0.564 0.436
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.4830 -0.2518 0.000 0.608 0.000 0.392
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0188 0.5676 0.000 0.996 0.000 0.004
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 4 0.4994 0.4960 0.000 0.480 0.000 0.520
#> B3527517-E339-46AE-8437-65303C309015 3 0.3852 0.8107 0.000 0.008 0.800 0.192
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.5710 0.000 1.000 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 4 0.4507 0.1418 0.000 0.168 0.044 0.788
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.5792 0.0187 0.000 0.032 0.416 0.552
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.4843 0.6268 0.000 0.604 0.000 0.396
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0188 0.5676 0.000 0.996 0.000 0.004
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.3400 0.8212 0.000 0.000 0.820 0.180
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0469 0.8164 0.000 0.000 0.988 0.012
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.3486 0.8197 0.000 0.000 0.812 0.188
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 4 0.5250 0.5539 0.000 0.440 0.008 0.552
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.4817 -0.2438 0.000 0.612 0.000 0.388
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 4 0.6262 0.6036 0.000 0.400 0.060 0.540
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0188 0.5724 0.000 0.996 0.000 0.004
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0817 0.5456 0.000 0.976 0.000 0.024
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0336 0.9930 0.992 0.000 0.000 0.008
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0188 0.5676 0.000 0.996 0.000 0.004
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0188 0.9935 0.996 0.000 0.000 0.004
#> CE91F591-6072-4D29-9495-C78961635969 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.5710 0.000 1.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9939 1.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.4713 0.6531 0.000 0.640 0.000 0.360
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0469 0.5595 0.000 0.988 0.000 0.012
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.4126 0.63099 0.000 0.620 0.000 0.380 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.56780 0.000 1.000 0.000 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.1830 0.94714 0.924 0.000 0.000 0.008 0.068
#> 3182DEA1-4239-4613-925A-7E6503766AD6 4 0.3418 0.37547 0.000 0.072 0.016 0.856 0.056
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.0162 0.79419 0.000 0.004 0.996 0.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.0162 0.79421 0.000 0.000 0.996 0.000 0.004
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0000 0.79457 0.000 0.000 1.000 0.000 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.2017 0.94361 0.912 0.000 0.000 0.008 0.080
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.95382 1.000 0.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.3661 0.35362 0.000 0.000 0.724 0.000 0.276
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.2130 0.94506 0.908 0.000 0.000 0.012 0.080
#> 844E4CCD-D30C-416F-A086-8923711A4E25 5 0.4242 0.54201 0.000 0.000 0.428 0.000 0.572
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.2189 0.94423 0.904 0.000 0.000 0.012 0.084
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0771 0.95327 0.976 0.000 0.000 0.004 0.020
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.95382 1.000 0.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.4138 0.63025 0.000 0.616 0.000 0.384 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.4818 -0.45172 0.000 0.520 0.000 0.460 0.020
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0162 0.79421 0.000 0.000 0.996 0.000 0.004
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.6510 0.55475 0.000 0.352 0.076 0.524 0.048
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.4126 0.63099 0.000 0.620 0.000 0.380 0.000
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#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.95382 1.000 0.000 0.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.4138 0.63025 0.000 0.616 0.000 0.384 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.3661 0.61831 0.000 0.724 0.000 0.276 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.0162 0.79421 0.000 0.000 0.996 0.000 0.004
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.2522 0.93857 0.880 0.000 0.000 0.012 0.108
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 3 0.0162 0.79421 0.000 0.000 0.996 0.000 0.004
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.95382 1.000 0.000 0.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 3 0.6323 0.44530 0.000 0.268 0.572 0.144 0.016
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0162 0.95360 0.996 0.000 0.000 0.000 0.004
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 5 0.3143 0.87319 0.000 0.000 0.204 0.000 0.796
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0162 0.56915 0.000 0.996 0.000 0.004 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.0162 0.79421 0.000 0.000 0.996 0.000 0.004
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.0727 0.78964 0.000 0.004 0.980 0.012 0.004
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0162 0.56343 0.000 0.996 0.000 0.004 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.4138 0.63025 0.000 0.616 0.000 0.384 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.2522 0.93857 0.880 0.000 0.000 0.012 0.108
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.95382 1.000 0.000 0.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.4114 0.63122 0.000 0.624 0.000 0.376 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.2522 0.93857 0.880 0.000 0.000 0.012 0.108
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.4276 0.63018 0.000 0.616 0.000 0.380 0.004
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.2522 0.93857 0.880 0.000 0.000 0.012 0.108
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.1281 0.51172 0.000 0.956 0.000 0.032 0.012
#> 2451D405-39FD-4812-958C-23462B66F1F1 5 0.3143 0.87319 0.000 0.000 0.204 0.000 0.796
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 5 0.3177 0.86896 0.000 0.000 0.208 0.000 0.792
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.2522 0.93857 0.880 0.000 0.000 0.012 0.108
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 3 0.3446 0.73191 0.000 0.028 0.844 0.112 0.016
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.4074 0.63080 0.000 0.636 0.000 0.364 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.4807 -0.43589 0.000 0.532 0.000 0.448 0.020
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.4138 0.63025 0.000 0.616 0.000 0.384 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 5 0.3143 0.87319 0.000 0.000 0.204 0.000 0.796
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 5 0.7178 0.12798 0.000 0.380 0.152 0.044 0.424
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.2522 0.93857 0.880 0.000 0.000 0.012 0.108
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.95382 1.000 0.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.5780 0.55789 0.000 0.220 0.648 0.116 0.016
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.4150 0.62714 0.000 0.612 0.000 0.388 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.0162 0.79421 0.000 0.000 0.996 0.000 0.004
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.5454 0.47105 0.000 0.488 0.000 0.452 0.060
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.2130 0.94506 0.908 0.000 0.000 0.012 0.080
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 4 0.5341 -0.44584 0.000 0.444 0.000 0.504 0.052
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.95382 1.000 0.000 0.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.95382 1.000 0.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 4 0.2144 0.38018 0.000 0.020 0.000 0.912 0.068
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.56780 0.000 1.000 0.000 0.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.4138 0.63025 0.000 0.616 0.000 0.384 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.95382 1.000 0.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.7770 -0.36062 0.000 0.376 0.196 0.076 0.352
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 4 0.7026 0.52332 0.000 0.292 0.116 0.524 0.068
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.1557 0.94959 0.940 0.000 0.000 0.008 0.052
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.2953 0.36695 0.000 0.844 0.000 0.144 0.012
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.4126 0.63099 0.000 0.620 0.000 0.380 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.95382 1.000 0.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.2522 0.93857 0.880 0.000 0.000 0.012 0.108
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 5 0.3143 0.87319 0.000 0.000 0.204 0.000 0.796
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.1041 0.95127 0.964 0.000 0.000 0.004 0.032
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 3 0.5541 0.58015 0.000 0.212 0.668 0.108 0.012
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 5 0.5548 0.22595 0.000 0.000 0.068 0.440 0.492
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.5075 -0.46061 0.000 0.512 0.008 0.460 0.020
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.2522 0.93857 0.880 0.000 0.000 0.012 0.108
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.56780 0.000 1.000 0.000 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 4 0.5642 0.51204 0.000 0.452 0.028 0.492 0.028
#> B3527517-E339-46AE-8437-65303C309015 3 0.0162 0.79397 0.000 0.000 0.996 0.004 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.56780 0.000 1.000 0.000 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 4 0.3274 0.37232 0.000 0.076 0.004 0.856 0.064
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.6833 0.19559 0.000 0.044 0.124 0.520 0.312
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.4138 0.63025 0.000 0.616 0.000 0.384 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.95382 1.000 0.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 4 0.5344 -0.45184 0.000 0.448 0.000 0.500 0.052
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.56780 0.000 1.000 0.000 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0162 0.79421 0.000 0.000 0.996 0.000 0.004
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 5 0.3391 0.85905 0.000 0.000 0.188 0.012 0.800
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.2522 0.93857 0.880 0.000 0.000 0.012 0.108
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0000 0.79457 0.000 0.000 1.000 0.000 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 4 0.6585 0.55181 0.000 0.340 0.080 0.528 0.052
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.4138 0.63025 0.000 0.616 0.000 0.384 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.4644 -0.44576 0.000 0.528 0.000 0.460 0.012
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.95382 1.000 0.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 3 0.6907 0.04005 0.000 0.392 0.392 0.204 0.012
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0162 0.56925 0.000 0.996 0.000 0.004 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.95382 1.000 0.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.1285 0.51808 0.000 0.956 0.004 0.036 0.004
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.2522 0.93857 0.880 0.000 0.000 0.012 0.108
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.56780 0.000 1.000 0.000 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.1697 0.94823 0.932 0.000 0.000 0.008 0.060
#> CE91F591-6072-4D29-9495-C78961635969 2 0.4138 0.63025 0.000 0.616 0.000 0.384 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.95382 1.000 0.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.95382 1.000 0.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.56780 0.000 1.000 0.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.4138 0.63025 0.000 0.616 0.000 0.384 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.95382 1.000 0.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.4114 0.63122 0.000 0.624 0.000 0.376 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.56780 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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0520 0.71584 0.000 0.984 0.000 0.008 0.008 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.5265 0.56691 0.000 0.572 0.008 0.328 0.092 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.1765 0.70256 0.904 0.000 0.000 0.000 0.096 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 4 0.6360 0.38215 0.000 0.360 0.016 0.440 0.176 0.008
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.0632 0.83881 0.000 0.000 0.976 0.000 0.000 0.024
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.0632 0.83881 0.000 0.000 0.976 0.000 0.000 0.024
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0632 0.83881 0.000 0.000 0.976 0.000 0.000 0.024
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.3073 0.64631 0.824 0.000 0.000 0.008 0.152 0.016
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 5 0.3864 0.84142 0.480 0.000 0.000 0.000 0.520 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.3409 0.49467 0.000 0.000 0.700 0.000 0.000 0.300
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.2883 0.44401 0.788 0.000 0.000 0.000 0.212 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 6 0.3706 0.38742 0.000 0.000 0.380 0.000 0.000 0.620
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.2883 0.44401 0.788 0.000 0.000 0.000 0.212 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.3288 0.18357 0.724 0.000 0.000 0.000 0.276 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 5 0.3864 0.84142 0.480 0.000 0.000 0.000 0.520 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0363 0.71303 0.000 0.988 0.000 0.000 0.012 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.2222 0.68068 0.000 0.084 0.012 0.896 0.008 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0632 0.83881 0.000 0.000 0.976 0.000 0.000 0.024
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.4939 0.64825 0.000 0.028 0.080 0.720 0.160 0.012
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0862 0.71591 0.000 0.972 0.004 0.008 0.016 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.5265 0.56691 0.000 0.572 0.008 0.328 0.092 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.79497 1.000 0.000 0.000 0.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.5401 0.54461 0.000 0.552 0.012 0.344 0.092 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.79497 1.000 0.000 0.000 0.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.2201 0.69497 0.000 0.048 0.012 0.912 0.024 0.004
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.0713 0.83673 0.000 0.000 0.972 0.000 0.000 0.028
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.3073 0.64631 0.824 0.000 0.000 0.008 0.152 0.016
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0260 0.71396 0.000 0.992 0.000 0.000 0.008 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.3390 0.05991 0.704 0.000 0.000 0.000 0.296 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.3834 0.51774 0.000 0.772 0.000 0.048 0.172 0.008
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 5 0.3864 0.84142 0.480 0.000 0.000 0.000 0.520 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.0603 0.83704 0.000 0.000 0.980 0.004 0.000 0.016
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.4928 0.39646 0.628 0.000 0.000 0.040 0.304 0.028
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 5 0.3864 0.84142 0.480 0.000 0.000 0.000 0.520 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 4 0.5936 0.04096 0.000 0.024 0.420 0.460 0.088 0.008
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.4193 0.58732 0.000 0.000 0.008 0.688 0.276 0.028
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 3 0.6010 0.31752 0.000 0.076 0.524 0.336 0.064 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 6 0.5415 0.52034 0.000 0.028 0.000 0.104 0.240 0.628
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 4 0.6902 0.27139 0.000 0.312 0.000 0.372 0.264 0.052
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.79497 1.000 0.000 0.000 0.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 6 0.0790 0.89429 0.000 0.000 0.032 0.000 0.000 0.968
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 5 0.3864 0.84142 0.480 0.000 0.000 0.000 0.520 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.5265 0.56691 0.000 0.572 0.008 0.328 0.092 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0260 0.71528 0.000 0.992 0.000 0.000 0.008 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.4782 0.53672 0.000 0.568 0.004 0.380 0.048 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.4177 -0.10286 0.000 0.000 0.468 0.520 0.012 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0508 0.71201 0.000 0.984 0.000 0.004 0.012 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.3321 0.68775 0.000 0.832 0.008 0.072 0.088 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.3041 0.58468 0.000 0.832 0.000 0.040 0.128 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.79497 1.000 0.000 0.000 0.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.1536 0.71310 0.000 0.940 0.004 0.016 0.040 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.5151 0.58655 0.000 0.604 0.008 0.296 0.092 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 5 0.3864 0.84142 0.480 0.000 0.000 0.000 0.520 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 5 0.3864 0.84142 0.480 0.000 0.000 0.000 0.520 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 4 0.6712 0.44545 0.000 0.016 0.076 0.552 0.160 0.196
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 4 0.2262 0.68380 0.000 0.080 0.016 0.896 0.008 0.000
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#> 66237056-CA9A-4C90-AF0E-1621FEB71578 4 0.2400 0.65171 0.000 0.116 0.004 0.872 0.008 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0363 0.71303 0.000 0.988 0.000 0.000 0.012 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 6 0.0790 0.89429 0.000 0.000 0.032 0.000 0.000 0.968
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 6 0.5454 -0.00502 0.000 0.000 0.052 0.428 0.032 0.488
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.79497 1.000 0.000 0.000 0.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 5 0.3864 0.84142 0.480 0.000 0.000 0.000 0.520 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.4619 0.42052 0.000 0.000 0.600 0.348 0.052 0.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0508 0.71134 0.000 0.984 0.000 0.004 0.012 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.0632 0.83881 0.000 0.000 0.976 0.000 0.000 0.024
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.4228 0.51060 0.000 0.748 0.000 0.040 0.184 0.028
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.2854 0.45535 0.792 0.000 0.000 0.000 0.208 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.4956 0.39633 0.000 0.668 0.000 0.064 0.240 0.028
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 5 0.3864 0.84142 0.480 0.000 0.000 0.000 0.520 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 5 0.3864 0.84142 0.480 0.000 0.000 0.000 0.520 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.6620 -0.23466 0.000 0.384 0.000 0.364 0.216 0.036
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.5265 0.56691 0.000 0.572 0.008 0.328 0.092 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0363 0.71303 0.000 0.988 0.000 0.000 0.012 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 5 0.3864 0.84142 0.480 0.000 0.000 0.000 0.520 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 4 0.5217 0.26813 0.000 0.000 0.080 0.556 0.008 0.356
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 4 0.5446 0.63101 0.000 0.028 0.084 0.692 0.160 0.036
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.3221 0.30514 0.736 0.000 0.000 0.000 0.264 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 4 0.5554 -0.18666 0.000 0.404 0.016 0.492 0.088 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0508 0.71613 0.000 0.984 0.000 0.004 0.012 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 5 0.3866 0.83133 0.484 0.000 0.000 0.000 0.516 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.79497 1.000 0.000 0.000 0.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 6 0.0790 0.89429 0.000 0.000 0.032 0.000 0.000 0.968
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.3390 0.06504 0.704 0.000 0.000 0.000 0.296 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 3 0.4460 0.48004 0.000 0.000 0.644 0.304 0.052 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 6 0.5906 0.22168 0.000 0.000 0.000 0.300 0.236 0.464
#> CAE8097F-A139-4C6E-9E30-35080475FF34 4 0.2262 0.68380 0.000 0.080 0.016 0.896 0.008 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.79497 1.000 0.000 0.000 0.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.5265 0.56691 0.000 0.572 0.008 0.328 0.092 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 4 0.2182 0.69038 0.000 0.032 0.028 0.916 0.020 0.004
#> B3527517-E339-46AE-8437-65303C309015 3 0.0508 0.83564 0.000 0.000 0.984 0.004 0.000 0.012
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.5265 0.56691 0.000 0.572 0.008 0.328 0.092 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 4 0.6276 0.33731 0.000 0.388 0.008 0.432 0.156 0.016
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.6778 0.43453 0.000 0.016 0.080 0.544 0.160 0.200
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0291 0.71548 0.000 0.992 0.000 0.004 0.004 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 5 0.3864 0.84142 0.480 0.000 0.000 0.000 0.520 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.4956 0.39633 0.000 0.668 0.000 0.064 0.240 0.028
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.5265 0.56691 0.000 0.572 0.008 0.328 0.092 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0713 0.83673 0.000 0.000 0.972 0.000 0.000 0.028
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 6 0.1261 0.87594 0.000 0.000 0.024 0.024 0.000 0.952
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.79497 1.000 0.000 0.000 0.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0632 0.83881 0.000 0.000 0.976 0.000 0.000 0.024
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 4 0.5010 0.64704 0.000 0.032 0.080 0.716 0.160 0.012
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0405 0.71523 0.000 0.988 0.000 0.004 0.008 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 4 0.2647 0.66921 0.000 0.088 0.016 0.876 0.020 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 5 0.3864 0.84142 0.480 0.000 0.000 0.000 0.520 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 4 0.4871 0.34315 0.000 0.000 0.296 0.616 0.088 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.5212 0.57738 0.000 0.588 0.008 0.312 0.092 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 5 0.3864 0.84142 0.480 0.000 0.000 0.000 0.520 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.4951 0.42377 0.000 0.508 0.012 0.440 0.040 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.79497 1.000 0.000 0.000 0.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.5265 0.56691 0.000 0.572 0.008 0.328 0.092 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.2300 0.63052 0.856 0.000 0.000 0.000 0.144 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0260 0.71396 0.000 0.992 0.000 0.000 0.008 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 5 0.3864 0.84142 0.480 0.000 0.000 0.000 0.520 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 5 0.3864 0.84142 0.480 0.000 0.000 0.000 0.520 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.5265 0.56691 0.000 0.572 0.008 0.328 0.092 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0508 0.71436 0.000 0.984 0.000 0.004 0.012 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 5 0.3864 0.84142 0.480 0.000 0.000 0.000 0.520 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0717 0.71619 0.000 0.976 0.000 0.008 0.016 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.5289 0.55832 0.000 0.564 0.008 0.336 0.092 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 17288 rows and 266 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 1.000 0.995 0.998 0.4332 0.566 0.566
#> 3 3 0.855 0.913 0.959 0.5122 0.780 0.612
#> 4 4 0.781 0.785 0.880 0.0586 0.952 0.866
#> 5 5 0.788 0.807 0.904 0.0440 0.924 0.773
#> 6 6 0.713 0.591 0.798 0.0620 0.953 0.840
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.000 0.999 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.000 0.999 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.000 0.994 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.000 0.999 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.000 0.999 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.000 0.999 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.000 0.999 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.000 0.994 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.000 0.994 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.000 0.999 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.634 0.814 0.840 0.160
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.000 0.999 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.697 0.774 0.812 0.188
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.000 0.994 1.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.000 0.994 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.000 0.999 0.000 1.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.000 0.999 0.000 1.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.000 0.999 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.000 0.999 0.000 1.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.000 0.999 0.000 1.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.000 0.999 0.000 1.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.000 0.994 1.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.000 0.999 0.000 1.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.000 0.994 1.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.000 0.999 0.000 1.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.000 0.999 0.000 1.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.000 0.994 1.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.000 0.999 0.000 1.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.000 0.994 1.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.000 0.999 0.000 1.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.000 0.994 1.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.000 0.999 0.000 1.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.000 0.994 1.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.000 0.994 1.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.000 0.999 0.000 1.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.000 0.999 0.000 1.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.000 0.999 0.000 1.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 2 0.000 0.999 0.000 1.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.000 0.999 0.000 1.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.000 0.994 1.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.000 0.999 0.000 1.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.000 0.994 1.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.000 0.999 0.000 1.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.000 0.999 0.000 1.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.000 0.999 0.000 1.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.000 0.999 0.000 1.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.000 0.999 0.000 1.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.000 0.999 0.000 1.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.000 0.999 0.000 1.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.000 0.994 1.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.000 0.999 0.000 1.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.000 0.999 0.000 1.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.000 0.994 1.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.000 0.994 1.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.000 0.999 0.000 1.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.000 0.999 0.000 1.000
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#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.000 0.999 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.000 0.994 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.000 0.999 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.000 0.994 1.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.000 0.999 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.000 0.994 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.000 0.999 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.000 0.994 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.000 0.994 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.000 0.999 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.000 0.999 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.000 0.994 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.000 0.999 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.000 0.999 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.941 0.000 1.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.3267 0.863 0.000 0.884 0.116
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.987 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.6235 0.253 0.000 0.564 0.436
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.1031 0.940 0.000 0.024 0.976
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.1031 0.940 0.000 0.024 0.976
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.1031 0.940 0.000 0.024 0.976
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.987 1.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.987 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0000 0.941 0.000 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.6286 0.144 0.536 0.000 0.464
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0000 0.941 0.000 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.6180 0.289 0.584 0.000 0.416
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.987 1.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.987 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.941 0.000 1.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.941 0.000 1.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.1031 0.940 0.000 0.024 0.976
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.1031 0.930 0.000 0.976 0.024
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.941 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.941 0.000 1.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.987 1.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.941 0.000 1.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.987 1.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.4291 0.801 0.000 0.820 0.180
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.1031 0.940 0.000 0.024 0.976
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.987 1.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.941 0.000 1.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.987 1.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.941 0.000 1.000 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.987 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.1031 0.940 0.000 0.024 0.976
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 0.987 1.000 0.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.987 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.3752 0.837 0.000 0.856 0.144
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.0237 0.939 0.000 0.996 0.004
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.4121 0.813 0.000 0.832 0.168
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.0000 0.941 0.000 0.000 1.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 3 0.5591 0.568 0.000 0.304 0.696
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.987 1.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0000 0.941 0.000 0.000 1.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.987 1.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.941 0.000 1.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.2066 0.903 0.000 0.940 0.060
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0000 0.941 0.000 1.000 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.3686 0.836 0.000 0.140 0.860
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.941 0.000 1.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.941 0.000 1.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.0000 0.941 0.000 1.000 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.987 1.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.941 0.000 1.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.941 0.000 1.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.987 1.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.987 1.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.1289 0.936 0.000 0.032 0.968
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.3412 0.856 0.000 0.876 0.124
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.987 1.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0000 0.941 0.000 1.000 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.4796 0.749 0.000 0.780 0.220
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.941 0.000 1.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.941 0.000 1.000 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.1031 0.940 0.000 0.024 0.976
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0747 0.934 0.000 0.984 0.016
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 3 0.5859 0.529 0.000 0.344 0.656
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.5327 0.673 0.000 0.728 0.272
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.941 0.000 1.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.0000 0.941 0.000 0.000 1.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.941 0.000 1.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.987 1.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.941 0.000 1.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.987 1.000 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.987 1.000 0.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.0000 0.941 0.000 0.000 1.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.4399 0.780 0.000 0.188 0.812
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.0000 0.941 0.000 1.000 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.987 1.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.941 0.000 1.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.0000 0.941 0.000 0.000 1.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.941 0.000 1.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.3192 0.853 0.000 0.112 0.888
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.941 0.000 1.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0000 0.987 1.000 0.000 0.000
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.0000 0.941 0.000 0.000 1.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.941 0.000 1.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 0.987 1.000 0.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.4121 0.812 0.000 0.832 0.168
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.1031 0.940 0.000 0.024 0.976
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.5058 0.713 0.000 0.756 0.244
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.1031 0.940 0.000 0.024 0.976
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.0000 0.941 0.000 0.000 1.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.0000 0.941 0.000 0.000 1.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.987 1.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.1031 0.930 0.000 0.976 0.024
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0000 0.987 1.000 0.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.987 1.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.0000 0.941 0.000 0.000 1.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.0000 0.941 0.000 0.000 1.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 0.987 1.000 0.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.3879 0.821 0.000 0.848 0.152
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.987 1.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.3038 0.874 0.000 0.896 0.104
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.0000 0.941 0.000 0.000 1.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.987 1.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0237 0.939 0.000 0.996 0.004
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0000 0.987 1.000 0.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.0000 0.941 0.000 0.000 1.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.4796 0.753 0.000 0.780 0.220
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.987 1.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 3 0.3816 0.827 0.000 0.148 0.852
#> E769E41D-5949-42C5-9594-E563C05ACE52 3 0.1031 0.940 0.000 0.024 0.976
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.0000 0.941 0.000 0.000 1.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0000 0.987 1.000 0.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.987 1.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0000 0.987 1.000 0.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.0000 0.941 0.000 0.000 1.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.0000 0.941 0.000 0.000 1.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.0000 0.941 0.000 1.000 0.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 3 0.4605 0.746 0.000 0.204 0.796
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.2878 0.871 0.000 0.904 0.096
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.0000 0.941 0.000 0.000 1.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.0000 0.941 0.000 1.000 0.000
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.0000 0.941 0.000 0.000 1.000
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 3 0.1031 0.940 0.000 0.024 0.976
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.941 0.000 1.000 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.0000 0.941 0.000 1.000 0.000
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0237 0.939 0.000 0.996 0.004
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0000 0.941 0.000 1.000 0.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.0000 0.941 0.000 0.000 1.000
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.987 1.000 0.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 3 0.1031 0.940 0.000 0.024 0.976
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.0000 0.941 0.000 0.000 1.000
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.987 1.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.0000 0.941 0.000 1.000 0.000
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.0892 0.931 0.000 0.980 0.020
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0000 0.987 1.000 0.000 0.000
#> 74868C37-8143-4306-81CA-E45759D146CD 3 0.1411 0.932 0.000 0.036 0.964
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.941 0.000 1.000 0.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.987 1.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0000 0.941 0.000 1.000 0.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0000 0.987 1.000 0.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.3941 0.828 0.000 0.844 0.156
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.3619 0.847 0.000 0.864 0.136
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.0000 0.941 0.000 1.000 0.000
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.1643 0.918 0.000 0.956 0.044
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.987 1.000 0.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0000 0.987 1.000 0.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.1860 0.913 0.000 0.948 0.052
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.941 0.000 1.000 0.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.0000 0.941 0.000 0.000 1.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.941 0.000 1.000 0.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.0000 0.941 0.000 0.000 1.000
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0000 0.987 1.000 0.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.941 0.000 1.000 0.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.987 1.000 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.987 1.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.4605 0.773 0.000 0.796 0.204
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0000 0.987 1.000 0.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 3 0.1031 0.940 0.000 0.024 0.976
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.3116 0.867 0.000 0.892 0.108
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.3412 0.843 0.000 0.876 0.124
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 3 0.5678 0.545 0.000 0.316 0.684
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.987 1.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 0.987 1.000 0.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 3 0.1031 0.940 0.000 0.024 0.976
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.0000 0.941 0.000 0.000 1.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0000 0.987 1.000 0.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.987 1.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.987 1.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0000 0.941 0.000 1.000 0.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 2 0.6565 0.321 0.008 0.576 0.416
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 0.987 1.000 0.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.0000 0.941 0.000 1.000 0.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.941 0.000 1.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 3 0.1031 0.940 0.000 0.024 0.976
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.987 1.000 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.987 1.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.941 0.000 1.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.941 0.000 1.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.1031 0.940 0.000 0.024 0.976
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0000 0.987 1.000 0.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 3 0.4235 0.786 0.000 0.176 0.824
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.987 1.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.4750 0.754 0.000 0.784 0.216
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0000 0.987 1.000 0.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.0000 0.941 0.000 0.000 1.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.1643 0.917 0.000 0.956 0.044
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.0592 0.941 0.000 0.012 0.988
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.1031 0.940 0.000 0.024 0.976
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.2959 0.874 0.000 0.900 0.100
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.941 0.000 1.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.987 1.000 0.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.987 1.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.941 0.000 1.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0000 0.987 1.000 0.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0000 0.941 0.000 1.000 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 0.987 1.000 0.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0237 0.939 0.000 0.996 0.004
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.0000 0.941 0.000 0.000 1.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.0000 0.941 0.000 0.000 1.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.987 1.000 0.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.6062 0.448 0.000 0.616 0.384
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.941 0.000 1.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.941 0.000 1.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.941 0.000 1.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0000 0.941 0.000 0.000 1.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.3879 0.823 0.000 0.152 0.848
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.987 1.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.987 1.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.4555 0.775 0.000 0.800 0.200
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.941 0.000 1.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.1031 0.940 0.000 0.024 0.976
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.4346 0.789 0.000 0.816 0.184
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.4555 0.732 0.800 0.000 0.200
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0000 0.941 0.000 1.000 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.987 1.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.987 1.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.5431 0.653 0.000 0.716 0.284
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0747 0.934 0.000 0.984 0.016
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.941 0.000 1.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.987 1.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.5178 0.680 0.000 0.256 0.744
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.5988 0.455 0.000 0.632 0.368
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.987 1.000 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.941 0.000 1.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.941 0.000 1.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.987 1.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.987 1.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0000 0.941 0.000 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.987 1.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.3192 0.864 0.000 0.888 0.112
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.0000 0.941 0.000 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.2066 0.907 0.000 0.940 0.060
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.987 1.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.941 0.000 1.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 3 0.6140 0.345 0.000 0.404 0.596
#> B3527517-E339-46AE-8437-65303C309015 3 0.1031 0.940 0.000 0.024 0.976
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.941 0.000 1.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0747 0.933 0.000 0.984 0.016
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.5859 0.529 0.000 0.344 0.656
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.941 0.000 1.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.987 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0000 0.941 0.000 1.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.941 0.000 1.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.1031 0.940 0.000 0.024 0.976
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.941 0.000 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.987 1.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.1031 0.940 0.000 0.024 0.976
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0237 0.939 0.000 0.996 0.004
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.941 0.000 1.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.941 0.000 1.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.987 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.4555 0.775 0.000 0.800 0.200
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.941 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.987 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0424 0.938 0.000 0.992 0.008
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.987 1.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0424 0.938 0.000 0.992 0.008
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.987 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.941 0.000 1.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.987 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.987 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.941 0.000 1.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.941 0.000 1.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.987 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.941 0.000 1.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0892 0.932 0.000 0.980 0.020
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.2469 0.8476 0.000 0.892 0.108 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 4 0.4866 0.8349 0.404 0.000 0.000 0.596
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.7421 0.0591 0.000 0.484 0.184 0.332
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.4855 0.7946 0.000 0.000 0.600 0.400
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.4855 0.7946 0.000 0.000 0.600 0.400
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.4855 0.7946 0.000 0.000 0.600 0.400
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 4 0.4888 0.8372 0.412 0.000 0.000 0.588
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.8914 1.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.4855 0.7946 0.000 0.000 0.600 0.400
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 3 0.6315 -0.0381 0.432 0.000 0.508 0.060
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.4855 0.7946 0.000 0.000 0.600 0.400
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.7553 -0.1264 0.456 0.000 0.200 0.344
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.1022 0.8854 0.968 0.000 0.000 0.032
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0336 0.8880 0.992 0.000 0.000 0.008
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.4855 0.7946 0.000 0.000 0.600 0.400
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0817 0.9098 0.000 0.976 0.024 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.1118 0.8839 0.964 0.000 0.000 0.036
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.2814 0.7478 0.868 0.000 0.000 0.132
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.5495 0.6660 0.000 0.728 0.096 0.176
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.4855 0.7946 0.000 0.000 0.600 0.400
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 4 0.4877 0.8371 0.408 0.000 0.000 0.592
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0336 0.8915 0.992 0.000 0.000 0.008
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.8914 1.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.4855 0.7946 0.000 0.000 0.600 0.400
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 4 0.4898 0.8360 0.416 0.000 0.000 0.584
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0469 0.8869 0.988 0.000 0.000 0.012
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.2921 0.8183 0.000 0.860 0.140 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.0188 0.9193 0.000 0.996 0.004 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.3172 0.7973 0.000 0.840 0.160 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.2345 0.7378 0.000 0.000 0.900 0.100
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 3 0.7033 0.6797 0.000 0.136 0.528 0.336
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.1389 0.8754 0.952 0.000 0.000 0.048
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0188 0.7120 0.000 0.000 0.996 0.004
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 4 0.4955 0.8145 0.444 0.000 0.000 0.556
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.2281 0.8535 0.000 0.904 0.000 0.096
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.6538 0.5704 0.000 0.292 0.600 0.108
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 4 0.4866 0.8349 0.404 0.000 0.000 0.596
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0188 0.8914 0.996 0.000 0.000 0.004
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0592 0.8826 0.984 0.000 0.000 0.016
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.5673 0.7832 0.000 0.032 0.596 0.372
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.2976 0.8304 0.000 0.872 0.120 0.008
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.1118 0.8839 0.964 0.000 0.000 0.036
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.3945 0.7226 0.000 0.780 0.216 0.004
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.4855 0.7946 0.000 0.000 0.600 0.400
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0592 0.9136 0.000 0.984 0.016 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.6125 0.0075 0.000 0.516 0.436 0.048
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.7059 0.2556 0.000 0.528 0.140 0.332
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 4 0.4730 0.2656 0.000 0.000 0.364 0.636
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#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.1389 0.8754 0.952 0.000 0.000 0.048
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 3 0.6449 0.1844 0.000 0.452 0.480 0.068
#> B3527517-E339-46AE-8437-65303C309015 3 0.4855 0.7946 0.000 0.000 0.600 0.400
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.1118 0.9014 0.000 0.964 0.000 0.036
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.6176 0.0430 0.000 0.524 0.424 0.052
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.4040 0.3772 0.752 0.000 0.000 0.248
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.4855 0.7946 0.000 0.000 0.600 0.400
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.1792 0.7302 0.000 0.000 0.932 0.068
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.1118 0.8839 0.964 0.000 0.000 0.036
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.4855 0.7946 0.000 0.000 0.600 0.400
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0188 0.9193 0.000 0.996 0.004 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.8914 1.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.3610 0.7492 0.000 0.800 0.200 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.1474 0.8452 0.948 0.000 0.000 0.052
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0336 0.9176 0.000 0.992 0.008 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.1118 0.8839 0.964 0.000 0.000 0.036
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0336 0.9175 0.000 0.992 0.008 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 4 0.4916 0.8319 0.424 0.000 0.000 0.576
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.8914 1.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.2011 0.8028 0.920 0.000 0.000 0.080
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.8914 1.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.9207 0.000 1.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0592 0.9135 0.000 0.984 0.016 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.2127 0.8502 0.000 0.892 0.108 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 4 0.0000 0.8793 0.000 0.000 0.000 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 3 0.4242 0.2754 0.000 0.428 0.572 0.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 4 0.0000 0.8793 0.000 0.000 0.000 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.6645 -0.0422 0.440 0.000 0.316 0.000 0.244
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 3 0.4713 0.0687 0.440 0.000 0.544 0.016 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.3060 0.8578 0.848 0.000 0.000 0.024 0.128
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0162 0.8941 0.996 0.000 0.000 0.004 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0703 0.9157 0.000 0.976 0.024 0.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.2773 0.8510 0.836 0.000 0.000 0.000 0.164
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.5909 0.5157 0.592 0.000 0.000 0.244 0.164
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.3837 0.5615 0.000 0.692 0.308 0.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 4 0.0000 0.8793 0.000 0.000 0.000 1.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0963 0.8902 0.964 0.000 0.000 0.000 0.036
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 4 0.0000 0.8793 0.000 0.000 0.000 1.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.1851 0.8406 0.912 0.000 0.000 0.088 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.2516 0.8199 0.000 0.860 0.140 0.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.0162 0.9254 0.000 0.996 0.004 0.000 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.2732 0.7977 0.000 0.840 0.160 0.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.4273 -0.2493 0.000 0.000 0.552 0.000 0.448
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 3 0.3412 0.5899 0.000 0.028 0.820 0.000 0.152
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.5236 0.6915 0.684 0.000 0.000 0.152 0.164
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 5 0.2773 0.9520 0.000 0.000 0.164 0.000 0.836
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 4 0.0404 0.8776 0.012 0.000 0.000 0.988 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.1965 0.8510 0.000 0.904 0.096 0.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.4182 0.2928 0.000 0.400 0.600 0.000 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 4 0.2773 0.8290 0.000 0.000 0.000 0.836 0.164
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0290 0.8928 0.992 0.000 0.000 0.008 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.1043 0.7446 0.000 0.040 0.960 0.000 0.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.2377 0.8343 0.000 0.872 0.128 0.000 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.3771 0.8249 0.796 0.000 0.000 0.040 0.164
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.3274 0.7207 0.000 0.780 0.220 0.000 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0510 0.9193 0.000 0.984 0.016 0.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.3999 0.4797 0.000 0.656 0.344 0.000 0.000
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 3 0.4126 0.3536 0.000 0.380 0.620 0.000 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 4 0.0000 0.8793 0.000 0.000 0.000 1.000 0.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.2773 0.8510 0.836 0.000 0.000 0.000 0.164
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.2773 0.8220 0.836 0.000 0.000 0.164 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 5 0.2773 0.9520 0.000 0.000 0.164 0.000 0.836
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.4302 0.1039 0.000 0.520 0.480 0.000 0.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 5 0.4114 0.6707 0.000 0.000 0.376 0.000 0.624
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 5 0.3590 0.8056 0.000 0.080 0.092 0.000 0.828
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 4 0.2773 0.8290 0.000 0.000 0.000 0.836 0.164
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 5 0.2773 0.9520 0.000 0.000 0.164 0.000 0.836
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.5236 0.6915 0.684 0.000 0.000 0.152 0.164
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.2813 0.7929 0.000 0.832 0.168 0.000 0.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 3 0.5341 0.3264 0.000 0.356 0.580 0.000 0.064
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 5 0.3480 0.8811 0.000 0.000 0.248 0.000 0.752
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 5 0.2773 0.9520 0.000 0.000 0.164 0.000 0.836
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 4 0.2127 0.8349 0.108 0.000 0.000 0.892 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.0794 0.9125 0.000 0.972 0.028 0.000 0.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.2773 0.8510 0.836 0.000 0.000 0.000 0.164
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 5 0.2773 0.9520 0.000 0.000 0.164 0.000 0.836
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 5 0.2773 0.9520 0.000 0.000 0.164 0.000 0.836
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 4 0.0000 0.8793 0.000 0.000 0.000 1.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.4306 -0.0414 0.000 0.508 0.492 0.000 0.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0162 0.8949 0.996 0.000 0.000 0.004 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.2179 0.8485 0.000 0.888 0.112 0.000 0.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0162 0.9254 0.000 0.996 0.004 0.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 4 0.0000 0.8793 0.000 0.000 0.000 1.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.4306 -0.3736 0.000 0.000 0.508 0.000 0.492
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.3612 0.6547 0.000 0.732 0.268 0.000 0.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0609 0.8879 0.980 0.000 0.000 0.020 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 3 0.4182 0.2913 0.000 0.400 0.600 0.000 0.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 5 0.2773 0.9520 0.000 0.000 0.164 0.000 0.836
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.2773 0.8510 0.836 0.000 0.000 0.000 0.164
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.2930 0.8489 0.832 0.000 0.000 0.004 0.164
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.1270 0.7355 0.000 0.000 0.948 0.000 0.052
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 5 0.3210 0.9189 0.000 0.000 0.212 0.000 0.788
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 3 0.0404 0.7735 0.000 0.012 0.988 0.000 0.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.2929 0.7445 0.000 0.820 0.180 0.000 0.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 5 0.2773 0.9520 0.000 0.000 0.164 0.000 0.836
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 5 0.2773 0.9520 0.000 0.000 0.164 0.000 0.836
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0162 0.9254 0.000 0.996 0.004 0.000 0.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.3143 0.7545 0.796 0.000 0.000 0.204 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.1579 0.8972 0.000 0.944 0.032 0.024 0.000
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 4 0.2930 0.8279 0.004 0.000 0.000 0.832 0.164
#> 74868C37-8143-4306-81CA-E45759D146CD 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 4 0.4675 0.7677 0.100 0.000 0.000 0.736 0.164
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.2377 0.8325 0.000 0.872 0.128 0.000 0.000
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.2561 0.8163 0.000 0.856 0.144 0.000 0.000
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.3109 0.7720 0.000 0.800 0.000 0.200 0.000
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.1197 0.8995 0.000 0.952 0.048 0.000 0.000
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 4 0.3210 0.7654 0.212 0.000 0.000 0.788 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.2773 0.8510 0.836 0.000 0.000 0.000 0.164
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.1341 0.8939 0.000 0.944 0.056 0.000 0.000
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 5 0.2773 0.9520 0.000 0.000 0.164 0.000 0.836
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.0290 0.7776 0.000 0.000 0.992 0.000 0.008
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.2773 0.8510 0.836 0.000 0.000 0.000 0.164
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0703 0.8856 0.976 0.000 0.000 0.024 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.3177 0.7430 0.000 0.792 0.208 0.000 0.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.2773 0.8510 0.836 0.000 0.000 0.000 0.164
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.2020 0.8542 0.000 0.900 0.100 0.000 0.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.3983 0.4302 0.000 0.660 0.340 0.000 0.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 3 0.4949 0.3270 0.000 0.396 0.572 0.000 0.032
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.2773 0.8510 0.836 0.000 0.000 0.000 0.164
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 5 0.2773 0.9520 0.000 0.000 0.164 0.000 0.836
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.2732 0.8248 0.840 0.000 0.000 0.160 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 4 0.0000 0.8793 0.000 0.000 0.000 1.000 0.000
#> F972A9AA-9842-4343-A533-A795E65581CE 4 0.2179 0.8182 0.112 0.000 0.000 0.888 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.3949 0.4306 0.668 0.000 0.000 0.332 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.2773 0.8510 0.836 0.000 0.000 0.000 0.164
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 3 0.0992 0.7599 0.000 0.008 0.968 0.000 0.024
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0510 0.8897 0.984 0.000 0.000 0.016 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.3242 0.7261 0.000 0.784 0.216 0.000 0.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 5 0.2773 0.9520 0.000 0.000 0.164 0.000 0.836
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.1043 0.9041 0.000 0.960 0.040 0.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.1908 0.8620 0.000 0.908 0.092 0.000 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.2773 0.8510 0.836 0.000 0.000 0.000 0.164
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0162 0.8939 0.996 0.000 0.000 0.004 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.2773 0.8510 0.836 0.000 0.000 0.000 0.164
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.2773 0.8510 0.836 0.000 0.000 0.000 0.164
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0162 0.9254 0.000 0.996 0.004 0.000 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 5 0.2773 0.9520 0.000 0.000 0.164 0.000 0.836
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 5 0.3305 0.8995 0.000 0.000 0.224 0.000 0.776
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 4 0.3239 0.8420 0.068 0.000 0.000 0.852 0.080
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 3 0.3636 0.4591 0.000 0.272 0.728 0.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 5 0.3366 0.9002 0.000 0.000 0.232 0.000 0.768
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.4273 0.1426 0.000 0.448 0.552 0.000 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.2773 0.8510 0.836 0.000 0.000 0.000 0.164
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.3109 0.7467 0.000 0.800 0.200 0.000 0.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.2074 0.8571 0.000 0.896 0.104 0.000 0.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.3863 0.6789 0.772 0.000 0.200 0.028 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0404 0.8915 0.988 0.000 0.000 0.012 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 3 0.6273 0.2419 0.000 0.336 0.500 0.000 0.164
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0510 0.9197 0.000 0.984 0.016 0.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.4278 0.1989 0.000 0.548 0.452 0.000 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.2852 0.7855 0.000 0.828 0.172 0.000 0.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 4 0.3636 0.6194 0.272 0.000 0.000 0.728 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0794 0.8904 0.972 0.000 0.000 0.028 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 4 0.5840 0.5750 0.232 0.000 0.000 0.604 0.164
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 5 0.2813 0.9494 0.000 0.000 0.168 0.000 0.832
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0404 0.8944 0.988 0.000 0.000 0.000 0.012
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.2230 0.8417 0.000 0.884 0.116 0.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 5 0.3707 0.8323 0.000 0.000 0.284 0.000 0.716
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.1478 0.8883 0.000 0.936 0.064 0.000 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.5236 0.6915 0.684 0.000 0.000 0.152 0.164
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.4305 0.0641 0.000 0.512 0.488 0.000 0.000
#> B3527517-E339-46AE-8437-65303C309015 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.1830 0.8754 0.000 0.924 0.068 0.000 0.008
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.3932 0.5176 0.000 0.672 0.328 0.000 0.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.3003 0.7541 0.812 0.000 0.000 0.188 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.4302 -0.3412 0.000 0.000 0.520 0.000 0.480
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.2773 0.8510 0.836 0.000 0.000 0.000 0.164
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0000 0.7840 0.000 0.000 1.000 0.000 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0162 0.9254 0.000 0.996 0.004 0.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.3109 0.7467 0.000 0.800 0.200 0.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0404 0.8915 0.988 0.000 0.000 0.012 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0290 0.9236 0.000 0.992 0.008 0.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.2773 0.8510 0.836 0.000 0.000 0.000 0.164
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0290 0.9236 0.000 0.992 0.008 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 4 0.0000 0.8793 0.000 0.000 0.000 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0609 0.8877 0.980 0.000 0.000 0.020 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.8950 1.000 0.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.9270 0.000 1.000 0.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0510 0.9192 0.000 0.984 0.016 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.64040 0.000 1.000 0.000 0.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.5173 0.62835 0.000 0.568 0.108 0.324 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 5 0.3854 0.65605 0.000 0.000 0.000 0.464 0.536 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 3 0.6145 0.01024 0.000 0.372 0.408 0.212 0.000 0.008
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.0000 0.81149 0.000 0.000 1.000 0.000 0.000 0.000
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#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.3854 0.69519 0.536 0.000 0.000 0.000 0.464 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.3854 0.69519 0.536 0.000 0.000 0.000 0.464 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.5546 0.46282 0.000 0.556 0.208 0.236 0.000 0.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0000 0.58791 1.000 0.000 0.000 0.000 0.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 3 0.0000 0.81149 0.000 0.000 1.000 0.000 0.000 0.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.5096 0.63691 0.000 0.576 0.100 0.324 0.000 0.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.1444 0.54806 0.000 0.928 0.072 0.000 0.000 0.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.5915 -0.15597 0.000 0.548 0.224 0.212 0.000 0.016
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.3854 0.69519 0.536 0.000 0.000 0.000 0.464 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 0.58791 1.000 0.000 0.000 0.000 0.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 3 0.0000 0.81149 0.000 0.000 1.000 0.000 0.000 0.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 6 0.0260 0.88540 0.000 0.000 0.008 0.000 0.000 0.992
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.3819 0.41835 0.652 0.000 0.000 0.340 0.008 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.3854 0.69519 0.536 0.000 0.000 0.000 0.464 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.3854 0.69519 0.536 0.000 0.000 0.000 0.464 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.3515 0.73696 0.000 0.676 0.000 0.324 0.000 0.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 4 0.5075 -0.64314 0.000 0.076 0.000 0.464 0.460 0.000
#> F972A9AA-9842-4343-A533-A795E65581CE 4 0.5326 -0.65299 0.104 0.000 0.000 0.464 0.432 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.3499 0.73782 0.000 0.680 0.000 0.320 0.000 0.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.64040 0.000 1.000 0.000 0.000 0.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 3 0.0000 0.81149 0.000 0.000 1.000 0.000 0.000 0.000
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#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.2664 0.71131 0.000 0.816 0.000 0.184 0.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.64040 0.000 1.000 0.000 0.000 0.000 0.000
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#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.3854 0.69519 0.536 0.000 0.000 0.000 0.464 0.000
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#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.3847 0.69454 0.544 0.000 0.000 0.000 0.456 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 6 0.0260 0.88540 0.000 0.000 0.008 0.000 0.000 0.992
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.4363 0.70865 0.000 0.636 0.040 0.324 0.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.0000 0.81149 0.000 0.000 1.000 0.000 0.000 0.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.0000 0.81149 0.000 0.000 1.000 0.000 0.000 0.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.5016 0.64831 0.000 0.584 0.092 0.324 0.000 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.64040 0.000 1.000 0.000 0.000 0.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.58791 1.000 0.000 0.000 0.000 0.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.3854 0.69519 0.536 0.000 0.000 0.000 0.464 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.1663 0.67178 0.000 0.912 0.000 0.088 0.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0146 0.58995 0.996 0.000 0.000 0.000 0.004 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0363 0.64767 0.000 0.988 0.000 0.012 0.000 0.000
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#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.3652 0.73543 0.000 0.672 0.004 0.324 0.000 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 6 0.0260 0.88540 0.000 0.000 0.008 0.000 0.000 0.992
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 6 0.1610 0.84005 0.000 0.000 0.084 0.000 0.000 0.916
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 5 0.5611 0.60924 0.152 0.000 0.000 0.364 0.484 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 3 0.3791 0.42504 0.000 0.236 0.732 0.032 0.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.3499 0.73767 0.000 0.680 0.000 0.320 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.3515 0.73696 0.000 0.676 0.000 0.324 0.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.64040 0.000 1.000 0.000 0.000 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 6 0.2491 0.78905 0.000 0.000 0.164 0.000 0.000 0.836
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.5514 -0.00433 0.000 0.176 0.552 0.272 0.000 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.58791 1.000 0.000 0.000 0.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.3854 0.69519 0.536 0.000 0.000 0.000 0.464 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.5807 0.45850 0.000 0.476 0.200 0.324 0.000 0.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.64040 0.000 1.000 0.000 0.000 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.0000 0.81149 0.000 0.000 1.000 0.000 0.000 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.5170 0.63477 0.000 0.576 0.112 0.312 0.000 0.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.5723 0.51456 0.508 0.000 0.200 0.000 0.292 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0632 0.64900 0.000 0.976 0.000 0.024 0.000 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.3854 0.69519 0.536 0.000 0.000 0.000 0.464 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.3854 0.69519 0.536 0.000 0.000 0.000 0.464 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.4823 0.07572 0.000 0.660 0.216 0.000 0.000 0.124
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.3938 0.72852 0.000 0.660 0.016 0.324 0.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.64040 0.000 1.000 0.000 0.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.5635 0.52402 0.536 0.000 0.000 0.256 0.208 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.5946 -0.22108 0.000 0.256 0.456 0.288 0.000 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 4 0.5853 0.04027 0.000 0.288 0.184 0.520 0.000 0.008
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 4 0.5795 -0.60277 0.184 0.000 0.000 0.452 0.364 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.3515 0.73696 0.000 0.676 0.000 0.324 0.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.2597 0.70656 0.000 0.824 0.000 0.176 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.5310 0.64156 0.536 0.000 0.000 0.116 0.348 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.3695 -0.16824 0.624 0.000 0.000 0.000 0.376 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 6 0.0632 0.87889 0.000 0.000 0.024 0.000 0.000 0.976
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.2730 0.64342 0.808 0.000 0.000 0.000 0.192 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.5279 0.61202 0.000 0.556 0.120 0.324 0.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 6 0.3309 0.62337 0.000 0.000 0.280 0.000 0.000 0.720
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.4697 0.68524 0.000 0.612 0.064 0.324 0.000 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.2300 0.40910 0.856 0.000 0.000 0.000 0.144 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.3515 0.73696 0.000 0.676 0.000 0.324 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 3 0.5881 -0.18760 0.000 0.232 0.472 0.296 0.000 0.000
#> B3527517-E339-46AE-8437-65303C309015 3 0.0000 0.81149 0.000 0.000 1.000 0.000 0.000 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.3515 0.73696 0.000 0.676 0.000 0.324 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.3324 0.64719 0.000 0.840 0.048 0.088 0.000 0.024
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.6016 0.17964 0.000 0.248 0.248 0.496 0.000 0.008
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.64040 0.000 1.000 0.000 0.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 5 0.5034 -0.60988 0.460 0.000 0.000 0.072 0.468 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0000 0.64040 0.000 1.000 0.000 0.000 0.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.3515 0.73696 0.000 0.676 0.000 0.324 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0000 0.81149 0.000 0.000 1.000 0.000 0.000 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.3866 -0.10686 0.000 0.000 0.516 0.000 0.000 0.484
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0146 0.58995 0.996 0.000 0.000 0.000 0.004 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0000 0.81149 0.000 0.000 1.000 0.000 0.000 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.4158 0.40504 0.000 0.572 0.004 0.416 0.000 0.008
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.2823 0.72098 0.000 0.796 0.000 0.204 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.3515 0.73696 0.000 0.676 0.000 0.324 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.3854 0.69519 0.536 0.000 0.000 0.000 0.464 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.5807 0.45850 0.000 0.476 0.200 0.324 0.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.3515 0.73696 0.000 0.676 0.000 0.324 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.3854 0.69519 0.536 0.000 0.000 0.000 0.464 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.3758 0.73368 0.000 0.668 0.008 0.324 0.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.58791 1.000 0.000 0.000 0.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.3758 0.73338 0.000 0.668 0.008 0.324 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 5 0.3854 0.65605 0.000 0.000 0.000 0.464 0.536 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.64040 0.000 1.000 0.000 0.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.3854 0.69519 0.536 0.000 0.000 0.000 0.464 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.3854 0.69519 0.536 0.000 0.000 0.000 0.464 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.3515 0.73696 0.000 0.676 0.000 0.324 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.64040 0.000 1.000 0.000 0.000 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.3854 0.69519 0.536 0.000 0.000 0.000 0.464 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.1957 0.67611 0.000 0.888 0.000 0.112 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.3938 0.72847 0.000 0.660 0.016 0.324 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "mclust"]
# you can also extract it by
# res = res_list["CV:mclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17288 rows and 266 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.991 0.996 0.4347 0.566 0.566
#> 3 3 0.674 0.822 0.876 0.4536 0.765 0.585
#> 4 4 0.626 0.822 0.823 0.0944 0.926 0.790
#> 5 5 0.714 0.644 0.823 0.0838 0.924 0.757
#> 6 6 0.740 0.595 0.781 0.0344 0.928 0.737
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.996 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.996 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.994 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0000 0.996 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.0000 0.996 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.0000 0.996 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.0000 0.996 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.994 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.994 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.0000 0.996 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.7883 0.693 0.764 0.236
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.0000 0.996 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.7602 0.720 0.780 0.220
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.994 1.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.994 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.996 0.000 1.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.996 0.000 1.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.0000 0.996 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0000 0.996 0.000 1.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.996 0.000 1.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.996 0.000 1.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.994 1.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.996 0.000 1.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.994 1.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0000 0.996 0.000 1.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.0000 0.996 0.000 1.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.994 1.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.996 0.000 1.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.994 1.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.996 0.000 1.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.994 1.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.0000 0.996 0.000 1.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 0.994 1.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.994 1.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.996 0.000 1.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.1184 0.983 0.016 0.984
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0000 0.996 0.000 1.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 2 0.1184 0.983 0.016 0.984
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.1184 0.983 0.016 0.984
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.994 1.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.0000 0.996 0.000 1.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.994 1.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.996 0.000 1.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.996 0.000 1.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0000 0.996 0.000 1.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.0000 0.996 0.000 1.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.996 0.000 1.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.996 0.000 1.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.0000 0.996 0.000 1.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.994 1.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.996 0.000 1.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.996 0.000 1.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.994 1.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.994 1.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.0000 0.996 0.000 1.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.0000 0.996 0.000 1.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.994 1.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0000 0.996 0.000 1.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0000 0.996 0.000 1.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.996 0.000 1.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.996 0.000 1.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.0000 0.996 0.000 1.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.996 0.000 1.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.1184 0.983 0.016 0.984
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0000 0.996 0.000 1.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.996 0.000 1.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 2 0.7745 0.709 0.228 0.772
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.996 0.000 1.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.994 1.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.996 0.000 1.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.994 1.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.994 1.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.0000 0.996 0.000 1.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.0000 0.996 0.000 1.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.0000 0.996 0.000 1.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.994 1.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.996 0.000 1.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 2 0.0000 0.996 0.000 1.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.996 0.000 1.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 2 0.0000 0.996 0.000 1.000
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.996 0.000 1.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0000 0.994 1.000 0.000
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.0000 0.996 0.000 1.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.996 0.000 1.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 0.994 1.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.0000 0.996 0.000 1.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.0000 0.996 0.000 1.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.6801 0.783 0.180 0.820
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.0000 0.996 0.000 1.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.0000 0.996 0.000 1.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0.0000 0.996 0.000 1.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.994 1.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.0000 0.996 0.000 1.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0000 0.994 1.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.994 1.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.0000 0.996 0.000 1.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0.0000 0.996 0.000 1.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 0.994 1.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.0000 0.996 0.000 1.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.994 1.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.0000 0.996 0.000 1.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.0000 0.996 0.000 1.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.994 1.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.996 0.000 1.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0000 0.994 1.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.0000 0.996 0.000 1.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.0000 0.996 0.000 1.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.994 1.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 2 0.0000 0.996 0.000 1.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.0000 0.996 0.000 1.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0.0000 0.996 0.000 1.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0000 0.994 1.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.994 1.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0000 0.994 1.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.0000 0.996 0.000 1.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.0000 0.996 0.000 1.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.0000 0.996 0.000 1.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.0000 0.996 0.000 1.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.996 0.000 1.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.0000 0.996 0.000 1.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.0000 0.996 0.000 1.000
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#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.0000 0.996 0.000 1.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.996 0.000 1.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.0000 0.996 0.000 1.000
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0000 0.996 0.000 1.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0000 0.996 0.000 1.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0.0000 0.996 0.000 1.000
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.994 1.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.0000 0.996 0.000 1.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 2 0.0000 0.996 0.000 1.000
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.994 1.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.1414 0.979 0.020 0.980
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.1184 0.983 0.016 0.984
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0000 0.994 1.000 0.000
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#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0000 0.994 1.000 0.000
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#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0000 0.994 1.000 0.000
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#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 0.994 1.000 0.000
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#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.0000 0.996 0.000 1.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0000 0.996 0.000 1.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.0000 0.996 0.000 1.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.0000 0.996 0.000 1.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.996 0.000 1.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.996 0.000 1.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.994 1.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.994 1.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.996 0.000 1.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0000 0.994 1.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0000 0.996 0.000 1.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 0.994 1.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0000 0.996 0.000 1.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.0000 0.996 0.000 1.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.0000 0.996 0.000 1.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.994 1.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0000 0.996 0.000 1.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.996 0.000 1.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.996 0.000 1.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.996 0.000 1.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.0000 0.996 0.000 1.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.0000 0.996 0.000 1.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.994 1.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.994 1.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.0000 0.996 0.000 1.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.996 0.000 1.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.0000 0.996 0.000 1.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.1184 0.983 0.016 0.984
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.1414 0.975 0.980 0.020
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.1184 0.983 0.016 0.984
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.994 1.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.994 1.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.0000 0.996 0.000 1.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.996 0.000 1.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.996 0.000 1.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.994 1.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.0000 0.996 0.000 1.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.0000 0.996 0.000 1.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.994 1.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.996 0.000 1.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.996 0.000 1.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.994 1.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.994 1.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.0000 0.996 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.994 1.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.996 0.000 1.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.0938 0.986 0.012 0.988
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0000 0.996 0.000 1.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.994 1.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.996 0.000 1.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0000 0.996 0.000 1.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.0000 0.996 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.996 0.000 1.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.1184 0.983 0.016 0.984
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.0000 0.996 0.000 1.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.996 0.000 1.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.994 1.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.1184 0.983 0.016 0.984
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.996 0.000 1.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.0000 0.996 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.0000 0.996 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.994 1.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.0000 0.996 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0672 0.990 0.008 0.992
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.996 0.000 1.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.996 0.000 1.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.994 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.996 0.000 1.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.996 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.994 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0000 0.996 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.994 1.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.996 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.994 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.996 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.994 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.994 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.996 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.996 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.994 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.996 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.996 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.920 0.000 1.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.920 0.000 1.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.978 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.5760 0.328 0.000 0.672 0.328
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.4887 0.853 0.000 0.228 0.772
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.4887 0.853 0.000 0.228 0.772
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.4887 0.853 0.000 0.228 0.772
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.4121 0.860 0.832 0.000 0.168
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.978 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.4887 0.853 0.000 0.228 0.772
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.6763 0.463 0.552 0.012 0.436
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.4235 0.813 0.000 0.176 0.824
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.6763 0.463 0.552 0.012 0.436
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.978 1.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.978 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.920 0.000 1.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0424 0.916 0.000 0.992 0.008
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.4887 0.853 0.000 0.228 0.772
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.4178 0.743 0.000 0.828 0.172
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.920 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.920 0.000 1.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.978 1.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0424 0.916 0.000 0.992 0.008
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.978 1.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 3 0.6008 0.703 0.000 0.372 0.628
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.4750 0.846 0.000 0.216 0.784
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.4121 0.860 0.832 0.000 0.168
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.920 0.000 1.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.978 1.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.6126 0.283 0.000 0.600 0.400
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.978 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.4887 0.853 0.000 0.228 0.772
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.5158 0.804 0.764 0.004 0.232
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.978 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 3 0.5835 0.766 0.000 0.340 0.660
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 3 0.6299 -0.166 0.000 0.476 0.524
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 3 0.5529 0.809 0.000 0.296 0.704
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.6299 -0.166 0.000 0.476 0.524
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.6307 0.188 0.000 0.512 0.488
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.978 1.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.4887 0.853 0.000 0.228 0.772
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.978 1.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.920 0.000 1.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.920 0.000 1.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0000 0.920 0.000 1.000 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.5905 0.752 0.000 0.352 0.648
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.920 0.000 1.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.1031 0.899 0.000 0.976 0.024
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.4178 0.756 0.000 0.828 0.172
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.978 1.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.920 0.000 1.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.920 0.000 1.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.978 1.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.978 1.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.5905 0.748 0.000 0.352 0.648
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.5905 0.146 0.000 0.648 0.352
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.978 1.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0424 0.915 0.000 0.992 0.008
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 3 0.5621 0.798 0.000 0.308 0.692
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0237 0.918 0.000 0.996 0.004
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.920 0.000 1.000 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.4887 0.853 0.000 0.228 0.772
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0237 0.918 0.000 0.996 0.004
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 3 0.6299 -0.166 0.000 0.476 0.524
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 3 0.4887 0.853 0.000 0.228 0.772
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.920 0.000 1.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.6676 -0.175 0.008 0.476 0.516
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.2066 0.855 0.000 0.940 0.060
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.978 1.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.920 0.000 1.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.978 1.000 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.978 1.000 0.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.4887 0.853 0.000 0.228 0.772
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.5882 0.748 0.000 0.348 0.652
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.1753 0.870 0.000 0.952 0.048
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.978 1.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.920 0.000 1.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.5016 0.712 0.000 0.240 0.760
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.920 0.000 1.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.5859 0.761 0.000 0.344 0.656
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0237 0.918 0.000 0.996 0.004
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.1411 0.955 0.964 0.000 0.036
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.4887 0.853 0.000 0.228 0.772
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.920 0.000 1.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 0.978 1.000 0.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 3 0.6267 0.566 0.000 0.452 0.548
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.4887 0.853 0.000 0.228 0.772
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 3 0.3454 0.742 0.008 0.104 0.888
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.5327 0.827 0.000 0.272 0.728
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.4887 0.853 0.000 0.228 0.772
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.4887 0.853 0.000 0.228 0.772
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.978 1.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.6280 -0.343 0.000 0.540 0.460
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0000 0.978 1.000 0.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.978 1.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.4887 0.853 0.000 0.228 0.772
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.4887 0.853 0.000 0.228 0.772
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.4062 0.863 0.836 0.000 0.164
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.5465 0.402 0.000 0.712 0.288
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.978 1.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 3 0.5988 0.731 0.000 0.368 0.632
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.4887 0.853 0.000 0.228 0.772
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#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 3 0.6252 0.337 0.000 0.444 0.556
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#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 3 0.5905 0.753 0.000 0.352 0.648
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.920 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.978 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.5650 0.300 0.000 0.688 0.312
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#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0237 0.918 0.000 0.996 0.004
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.978 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.920 0.000 1.000 0.000
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#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.978 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0237 0.918 0.000 0.996 0.004
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.920 0.000 1.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.978 1.000 0.000 0.000
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#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0424 0.916 0.000 0.992 0.008
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.2704 0.94396 0.000 0.876 0.124 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.4072 0.82404 0.748 0.000 0.000 0.252
#> 3182DEA1-4239-4613-925A-7E6503766AD6 4 0.7554 0.43427 0.000 0.212 0.316 0.472
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.0000 0.89243 0.000 0.000 1.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.0000 0.89243 0.000 0.000 1.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0000 0.89243 0.000 0.000 1.000 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.5574 0.73831 0.668 0.048 0.000 0.284
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0336 0.84225 0.992 0.000 0.000 0.008
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0592 0.88953 0.000 0.000 0.984 0.016
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 4 0.5378 0.64370 0.132 0.092 0.012 0.764
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#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.1474 0.84918 0.948 0.000 0.000 0.052
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.2704 0.94383 0.000 0.876 0.124 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.0000 0.89243 0.000 0.000 1.000 0.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.4697 0.77523 0.644 0.000 0.000 0.356
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 3 0.0336 0.88861 0.000 0.008 0.992 0.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0336 0.84225 0.992 0.000 0.000 0.008
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 3 0.1109 0.88515 0.000 0.028 0.968 0.004
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.2011 0.85016 0.920 0.000 0.000 0.080
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.0592 0.88953 0.000 0.000 0.984 0.016
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.2888 0.94239 0.000 0.872 0.124 0.004
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.0000 0.89243 0.000 0.000 1.000 0.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.0000 0.89243 0.000 0.000 1.000 0.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.3377 0.91953 0.000 0.848 0.140 0.012
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.4500 0.79920 0.684 0.000 0.000 0.316
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0336 0.84225 0.992 0.000 0.000 0.008
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.4730 0.77105 0.636 0.000 0.000 0.364
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.4222 0.81735 0.728 0.000 0.000 0.272
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.2814 0.93832 0.000 0.868 0.132 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.0469 0.89042 0.000 0.000 0.988 0.012
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.0000 0.89243 0.000 0.000 1.000 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.4103 0.82370 0.744 0.000 0.000 0.256
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 3 0.1004 0.88683 0.000 0.024 0.972 0.004
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.3497 0.92650 0.000 0.852 0.124 0.024
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0592 0.89099 0.000 0.000 0.984 0.016
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.0188 0.89234 0.000 0.000 0.996 0.004
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.4008 0.82749 0.756 0.000 0.000 0.244
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0336 0.84225 0.992 0.000 0.000 0.008
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.1004 0.88699 0.000 0.024 0.972 0.004
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.0000 0.89243 0.000 0.000 1.000 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 3 0.7415 0.21559 0.000 0.236 0.516 0.248
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 4 0.5673 0.59881 0.168 0.084 0.012 0.736
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 4 0.6868 0.76356 0.000 0.264 0.152 0.584
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.1913 0.84075 0.940 0.020 0.000 0.040
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0336 0.84225 0.992 0.000 0.000 0.008
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.7468 0.07623 0.000 0.492 0.304 0.204
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.2814 0.93832 0.000 0.868 0.132 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.1867 0.85143 0.928 0.000 0.000 0.072
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.0895 0.88842 0.000 0.020 0.976 0.004
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 3 0.3224 0.81866 0.000 0.120 0.864 0.016
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 4 0.5159 0.10420 0.364 0.012 0.000 0.624
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.2704 0.94406 0.000 0.876 0.124 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.2266 0.85012 0.912 0.004 0.000 0.084
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.4746 0.76702 0.632 0.000 0.000 0.368
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0469 0.89042 0.000 0.000 0.988 0.012
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.3311 0.84316 0.828 0.000 0.000 0.172
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 3 0.0188 0.89234 0.000 0.000 0.996 0.004
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.5902 0.63903 0.000 0.184 0.696 0.120
#> CAE8097F-A139-4C6E-9E30-35080475FF34 3 0.3873 0.67684 0.000 0.228 0.772 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.4697 0.77523 0.644 0.000 0.000 0.356
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 3 0.3852 0.73967 0.000 0.180 0.808 0.012
#> B3527517-E339-46AE-8437-65303C309015 3 0.0000 0.89243 0.000 0.000 1.000 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 3 0.3978 0.74887 0.000 0.056 0.836 0.108
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.3266 0.83186 0.000 0.108 0.868 0.024
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.84469 1.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 4 0.6868 0.76356 0.000 0.264 0.152 0.584
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.2814 0.93832 0.000 0.868 0.132 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0188 0.89101 0.000 0.004 0.996 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.2521 0.86127 0.000 0.064 0.912 0.024
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.4222 0.81711 0.728 0.000 0.000 0.272
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0000 0.89243 0.000 0.000 1.000 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 3 0.5757 0.62382 0.000 0.240 0.684 0.076
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.2868 0.93507 0.000 0.864 0.136 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.84469 1.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 3 0.2546 0.84215 0.000 0.092 0.900 0.008
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0336 0.84225 0.992 0.000 0.000 0.008
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 3 0.4163 0.72222 0.000 0.188 0.792 0.020
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.4406 0.80599 0.700 0.000 0.000 0.300
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.2704 0.94436 0.000 0.876 0.124 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.3649 0.83648 0.796 0.000 0.000 0.204
#> CE91F591-6072-4D29-9495-C78961635969 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.84469 1.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0336 0.84225 0.992 0.000 0.000 0.008
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.2704 0.94436 0.000 0.876 0.124 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0336 0.84225 0.992 0.000 0.000 0.008
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.2647 0.94648 0.000 0.880 0.120 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.2704 0.94406 0.000 0.876 0.124 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.1704 0.8990 0.000 0.928 0.000 0.068 0.004
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0290 0.8963 0.000 0.992 0.008 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.3916 0.5713 0.732 0.000 0.000 0.012 0.256
#> 3182DEA1-4239-4613-925A-7E6503766AD6 4 0.5941 0.5164 0.000 0.288 0.096 0.600 0.016
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.0510 0.7354 0.000 0.000 0.984 0.016 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.0000 0.7389 0.000 0.000 1.000 0.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0290 0.7394 0.000 0.000 0.992 0.008 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.5870 0.2568 0.584 0.000 0.000 0.140 0.276
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.7634 1.000 0.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.2793 0.6990 0.000 0.000 0.876 0.088 0.036
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 5 0.5512 0.2391 0.104 0.000 0.000 0.276 0.620
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.4254 0.6243 0.000 0.000 0.740 0.220 0.040
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 5 0.5512 0.2391 0.104 0.000 0.000 0.276 0.620
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.3231 0.6486 0.800 0.000 0.000 0.004 0.196
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.7634 1.000 0.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.1704 0.8990 0.000 0.928 0.000 0.068 0.004
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0324 0.8958 0.000 0.992 0.004 0.004 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0000 0.7389 0.000 0.000 1.000 0.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.6459 -0.0663 0.000 0.504 0.180 0.312 0.004
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.1544 0.8997 0.000 0.932 0.000 0.068 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.8976 0.000 1.000 0.000 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.4321 0.3486 0.600 0.000 0.000 0.004 0.396
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0162 0.8968 0.000 0.996 0.000 0.004 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 5 0.3480 0.5881 0.248 0.000 0.000 0.000 0.752
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 3 0.6777 0.0296 0.000 0.232 0.428 0.336 0.004
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.0963 0.7344 0.000 0.000 0.964 0.036 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.5967 0.1709 0.556 0.000 0.000 0.136 0.308
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.1544 0.8997 0.000 0.932 0.000 0.068 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.2583 0.7054 0.864 0.000 0.000 0.004 0.132
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 4 0.5871 0.5727 0.000 0.212 0.056 0.664 0.068
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0404 0.7597 0.988 0.000 0.000 0.000 0.012
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.0162 0.7392 0.000 0.000 0.996 0.004 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 5 0.5433 0.4374 0.092 0.000 0.000 0.288 0.620
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.1043 0.7467 0.960 0.000 0.000 0.000 0.040
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 3 0.5218 0.5610 0.000 0.136 0.684 0.180 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.5197 0.5334 0.000 0.068 0.236 0.684 0.012
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 3 0.5766 0.4544 0.000 0.164 0.616 0.220 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 4 0.6439 0.5497 0.000 0.024 0.132 0.564 0.280
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 4 0.4976 0.5287 0.000 0.072 0.228 0.696 0.004
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.4307 0.0409 0.500 0.000 0.000 0.000 0.500
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.2813 0.6976 0.000 0.000 0.876 0.084 0.040
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0880 0.7607 0.968 0.000 0.000 0.000 0.032
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.8976 0.000 1.000 0.000 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.3196 0.7927 0.000 0.804 0.000 0.192 0.004
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0162 0.8973 0.000 0.996 0.004 0.000 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.5635 0.5030 0.000 0.120 0.636 0.240 0.004
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.1704 0.8990 0.000 0.928 0.000 0.068 0.004
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.2953 0.8536 0.000 0.868 0.028 0.100 0.004
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.5126 0.3734 0.000 0.600 0.040 0.356 0.004
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 5 0.4015 0.4871 0.348 0.000 0.000 0.000 0.652
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.1571 0.9004 0.000 0.936 0.000 0.060 0.004
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.8976 0.000 1.000 0.000 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0162 0.7638 0.996 0.000 0.000 0.000 0.004
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.7634 1.000 0.000 0.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 4 0.5775 -0.1472 0.000 0.088 0.440 0.472 0.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 3 0.6724 -0.0349 0.000 0.380 0.408 0.208 0.004
#> 1F553062-26FD-4A7F-B7FB-81184604F423 5 0.4443 0.1434 0.472 0.000 0.000 0.004 0.524
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.3090 0.8413 0.000 0.860 0.032 0.104 0.004
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 3 0.5109 0.5707 0.000 0.132 0.696 0.172 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.8976 0.000 1.000 0.000 0.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.8976 0.000 1.000 0.000 0.000 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.0000 0.7389 0.000 0.000 1.000 0.000 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0162 0.8968 0.000 0.996 0.000 0.004 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 4 0.4736 0.5411 0.000 0.044 0.224 0.720 0.012
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#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.1965 0.7323 0.904 0.000 0.000 0.000 0.096
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.4258 0.6469 0.000 0.072 0.768 0.160 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 3 0.6036 0.4126 0.000 0.136 0.572 0.288 0.004
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 5 0.4402 0.4674 0.352 0.000 0.000 0.012 0.636
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.1341 0.9014 0.000 0.944 0.000 0.056 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.1544 0.8997 0.000 0.932 0.000 0.068 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.1544 0.7476 0.932 0.000 0.000 0.000 0.068
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 5 0.3730 0.5496 0.288 0.000 0.000 0.000 0.712
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.2570 0.7036 0.000 0.000 0.888 0.084 0.028
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.2338 0.7199 0.884 0.000 0.000 0.004 0.112
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 3 0.4681 0.6163 0.000 0.084 0.728 0.188 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 4 0.5213 0.3657 0.000 0.064 0.320 0.616 0.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.5987 0.0480 0.000 0.544 0.324 0.132 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 5 0.4307 -0.1108 0.500 0.000 0.000 0.000 0.500
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0162 0.8968 0.000 0.996 0.000 0.004 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.6792 -0.2905 0.000 0.404 0.364 0.228 0.004
#> B3527517-E339-46AE-8437-65303C309015 3 0.0000 0.7389 0.000 0.000 1.000 0.000 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.8976 0.000 1.000 0.000 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 4 0.5646 0.2941 0.000 0.076 0.356 0.564 0.004
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.5744 0.4123 0.000 0.104 0.564 0.332 0.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.1544 0.8997 0.000 0.932 0.000 0.068 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.7634 1.000 0.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 4 0.4118 0.5794 0.000 0.060 0.024 0.812 0.104
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0162 0.8968 0.000 0.996 0.000 0.004 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0290 0.7387 0.000 0.000 0.992 0.008 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.5066 0.6034 0.000 0.084 0.676 0.240 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.4264 0.3850 0.620 0.000 0.000 0.004 0.376
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0510 0.7409 0.000 0.000 0.984 0.016 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 4 0.7004 0.3013 0.000 0.316 0.284 0.392 0.008
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.1544 0.8997 0.000 0.932 0.000 0.068 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0566 0.8919 0.000 0.984 0.012 0.004 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.7634 1.000 0.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 3 0.5827 0.3385 0.000 0.260 0.596 0.144 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.8976 0.000 1.000 0.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.7634 1.000 0.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 3 0.6946 -0.2000 0.000 0.344 0.352 0.300 0.004
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.4227 0.2905 0.580 0.000 0.000 0.000 0.420
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0162 0.8968 0.000 0.996 0.000 0.004 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.3579 0.5985 0.756 0.000 0.000 0.004 0.240
#> CE91F591-6072-4D29-9495-C78961635969 2 0.1544 0.8997 0.000 0.932 0.000 0.068 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.7634 1.000 0.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.7634 1.000 0.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0162 0.8968 0.000 0.996 0.000 0.004 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.1043 0.9011 0.000 0.960 0.000 0.040 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.7634 1.000 0.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.1544 0.8997 0.000 0.932 0.000 0.068 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.1357 0.8702 0.000 0.948 0.004 0.048 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0146 0.8971 0.000 0.996 0.000 0.004 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.1296 0.8690 0.000 0.952 0.032 0.012 0.004 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.4393 0.2967 0.524 0.000 0.000 0.024 0.000 0.452
#> 3182DEA1-4239-4613-925A-7E6503766AD6 5 0.5150 0.5501 0.000 0.176 0.088 0.048 0.688 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 4 0.4093 0.3886 0.000 0.000 0.476 0.516 0.008 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 4 0.3866 0.3928 0.000 0.000 0.484 0.516 0.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.3996 0.3912 0.000 0.000 0.484 0.512 0.004 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 6 0.4264 -0.2111 0.484 0.000 0.000 0.000 0.016 0.500
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.6789 1.000 0.000 0.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0622 0.7439 0.000 0.000 0.980 0.012 0.008 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 6 0.5344 0.2253 0.044 0.000 0.000 0.076 0.236 0.644
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.2615 0.6011 0.000 0.000 0.852 0.008 0.136 0.004
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 6 0.5344 0.2253 0.044 0.000 0.000 0.076 0.236 0.644
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.4934 0.5271 0.632 0.000 0.000 0.112 0.000 0.256
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.6789 1.000 0.000 0.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0146 0.8971 0.000 0.996 0.000 0.004 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0146 0.8971 0.000 0.996 0.000 0.004 0.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.3838 -0.1959 0.000 0.000 0.552 0.448 0.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.5447 0.4010 0.000 0.628 0.052 0.068 0.252 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0146 0.8971 0.000 0.996 0.000 0.004 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0260 0.8964 0.000 0.992 0.000 0.008 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.5367 0.4437 0.588 0.000 0.000 0.224 0.000 0.188
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0717 0.8930 0.000 0.976 0.000 0.016 0.008 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 6 0.5822 0.4624 0.276 0.000 0.000 0.232 0.000 0.492
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.7532 0.0786 0.000 0.300 0.144 0.304 0.252 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.3558 0.5390 0.000 0.000 0.736 0.248 0.016 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 6 0.4260 -0.1726 0.472 0.000 0.000 0.000 0.016 0.512
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0260 0.8968 0.000 0.992 0.000 0.008 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.5039 0.5426 0.640 0.000 0.000 0.184 0.000 0.176
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 5 0.4435 0.2939 0.000 0.400 0.016 0.004 0.576 0.004
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0146 0.6777 0.996 0.000 0.000 0.000 0.000 0.004
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 4 0.4093 0.4001 0.000 0.000 0.476 0.516 0.008 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 6 0.2113 0.4668 0.032 0.000 0.000 0.008 0.048 0.912
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.1501 0.6373 0.924 0.000 0.000 0.000 0.000 0.076
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 4 0.6849 0.5746 0.000 0.132 0.196 0.508 0.164 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 5 0.3597 0.6953 0.000 0.088 0.032 0.040 0.832 0.008
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 4 0.6690 0.6172 0.000 0.104 0.200 0.524 0.172 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 5 0.3525 0.6398 0.000 0.000 0.096 0.020 0.824 0.060
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 5 0.2836 0.7058 0.000 0.028 0.036 0.052 0.880 0.004
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.5885 0.1287 0.476 0.000 0.000 0.248 0.000 0.276
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0146 0.7488 0.000 0.000 0.996 0.004 0.000 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.1471 0.6735 0.932 0.000 0.000 0.064 0.000 0.004
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0260 0.8964 0.000 0.992 0.000 0.008 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0717 0.8924 0.000 0.976 0.000 0.008 0.016 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0291 0.8968 0.000 0.992 0.000 0.004 0.004 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.6235 0.6507 0.000 0.048 0.208 0.552 0.192 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0260 0.8968 0.000 0.992 0.000 0.008 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.2731 0.7968 0.000 0.876 0.044 0.012 0.068 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.4383 0.3602 0.000 0.616 0.016 0.012 0.356 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 6 0.5930 0.4429 0.292 0.000 0.000 0.248 0.000 0.460
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0260 0.8972 0.000 0.992 0.000 0.008 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0260 0.8964 0.000 0.992 0.000 0.008 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.2302 0.6554 0.872 0.000 0.000 0.008 0.000 0.120
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.6789 1.000 0.000 0.000 0.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 5 0.6705 -0.3975 0.000 0.036 0.204 0.372 0.384 0.004
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.6974 0.0724 0.000 0.492 0.160 0.160 0.188 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.5823 0.0224 0.440 0.000 0.000 0.188 0.000 0.372
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.1649 0.8601 0.000 0.936 0.008 0.016 0.040 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 4 0.6987 0.5588 0.000 0.140 0.212 0.484 0.164 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0260 0.8964 0.000 0.992 0.000 0.008 0.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.8971 0.000 1.000 0.000 0.000 0.000 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 4 0.3866 0.3928 0.000 0.000 0.484 0.516 0.000 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0146 0.8971 0.000 0.996 0.000 0.004 0.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 5 0.3546 0.6986 0.000 0.084 0.032 0.040 0.836 0.008
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 4 0.5573 0.6691 0.000 0.020 0.208 0.612 0.160 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0260 0.8964 0.000 0.992 0.000 0.008 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 5 0.2022 0.6617 0.000 0.000 0.008 0.024 0.916 0.052
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.3046 0.6928 0.000 0.800 0.000 0.012 0.188 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.1856 0.6749 0.920 0.000 0.000 0.048 0.000 0.032
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0146 0.8971 0.000 0.996 0.000 0.004 0.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.5100 0.4972 0.612 0.000 0.000 0.260 0.000 0.128
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.5135 0.4486 0.572 0.000 0.000 0.104 0.000 0.324
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.0146 0.7488 0.000 0.000 0.996 0.004 0.000 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 4 0.6656 0.6018 0.000 0.080 0.176 0.508 0.236 0.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.3066 0.7461 0.000 0.836 0.016 0.016 0.132 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.3202 0.6287 0.800 0.000 0.000 0.024 0.000 0.176
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0291 0.8967 0.000 0.992 0.000 0.004 0.004 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.4537 -0.1594 0.000 0.000 0.492 0.024 0.480 0.004
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0146 0.8971 0.000 0.996 0.000 0.004 0.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 4 0.6558 0.4927 0.000 0.016 0.288 0.392 0.300 0.004
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0363 0.8960 0.000 0.988 0.000 0.012 0.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 6 0.3512 0.4862 0.008 0.000 0.000 0.248 0.004 0.740
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.0260 0.7473 0.000 0.000 0.992 0.008 0.000 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0146 0.8971 0.000 0.996 0.000 0.004 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.5831 0.1834 0.492 0.000 0.000 0.244 0.000 0.264
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.7539 -0.2711 0.000 0.360 0.176 0.244 0.220 0.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.4096 -0.3716 0.000 0.000 0.508 0.484 0.008 0.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 4 0.6121 0.1231 0.000 0.000 0.252 0.428 0.316 0.004
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 4 0.5743 0.6548 0.000 0.024 0.296 0.560 0.120 0.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.2854 0.6039 0.000 0.000 0.792 0.208 0.000 0.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.2003 0.6975 0.000 0.000 0.884 0.116 0.000 0.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.1285 0.6752 0.944 0.000 0.000 0.052 0.000 0.004
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.5496 0.4164 0.000 0.632 0.024 0.180 0.164 0.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.6014 -0.2033 0.392 0.000 0.000 0.240 0.000 0.368
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.6789 1.000 0.000 0.000 0.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.0000 0.7467 0.000 0.000 1.000 0.000 0.000 0.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.0146 0.7457 0.000 0.000 0.996 0.000 0.004 0.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 6 0.3629 0.4643 0.260 0.000 0.000 0.000 0.016 0.724
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#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 4 0.5876 0.6379 0.000 0.020 0.300 0.536 0.144 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.5116 0.4960 0.612 0.000 0.000 0.256 0.000 0.132
#> FF00E80A-046D-4233-835E-CDF93403EA43 4 0.4578 0.4627 0.000 0.000 0.444 0.520 0.036 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.6232 -0.1977 0.000 0.428 0.016 0.196 0.360 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0146 0.8971 0.000 0.996 0.000 0.004 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0458 0.8952 0.000 0.984 0.000 0.016 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.6789 1.000 0.000 0.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.7433 -0.2215 0.000 0.392 0.196 0.240 0.172 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0260 0.8964 0.000 0.992 0.000 0.008 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.6789 1.000 0.000 0.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.6614 0.1326 0.000 0.520 0.124 0.108 0.248 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.5388 0.3978 0.584 0.000 0.000 0.228 0.000 0.188
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0363 0.8960 0.000 0.988 0.000 0.012 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.4987 0.4647 0.584 0.000 0.000 0.088 0.000 0.328
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0146 0.8971 0.000 0.996 0.000 0.004 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0260 0.6789 0.992 0.000 0.000 0.008 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.6789 1.000 0.000 0.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0458 0.8952 0.000 0.984 0.000 0.016 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0260 0.8968 0.000 0.992 0.000 0.008 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.6789 1.000 0.000 0.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0146 0.8971 0.000 0.996 0.000 0.004 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.1926 0.8395 0.000 0.912 0.000 0.020 0.068 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["CV", "NMF"]
# you can also extract it by
# res = res_list["CV:NMF"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17288 rows and 266 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.992 0.997 0.4398 0.561 0.561
#> 3 3 0.808 0.896 0.932 0.4553 0.779 0.607
#> 4 4 0.891 0.863 0.921 0.0929 0.954 0.870
#> 5 5 0.791 0.724 0.837 0.0771 0.912 0.732
#> 6 6 0.836 0.743 0.867 0.0564 0.919 0.693
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.000 0.997 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.000 0.997 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.000 0.995 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.000 0.997 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.000 0.997 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.000 0.997 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.000 0.997 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.000 0.995 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.000 0.995 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.000 0.997 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.000 0.995 1.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.000 0.997 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.000 0.995 1.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.000 0.995 1.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.000 0.995 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.000 0.997 0.000 1.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.000 0.997 0.000 1.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.000 0.997 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.000 0.997 0.000 1.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.000 0.997 0.000 1.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.000 0.997 0.000 1.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.000 0.995 1.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.000 0.997 0.000 1.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.000 0.995 1.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.000 0.997 0.000 1.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.000 0.997 0.000 1.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.000 0.995 1.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.000 0.997 0.000 1.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.000 0.995 1.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.000 0.997 0.000 1.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.000 0.995 1.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.000 0.997 0.000 1.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.000 0.995 1.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.000 0.995 1.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.000 0.997 0.000 1.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.000 0.997 0.000 1.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.000 0.997 0.000 1.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 2 0.295 0.944 0.052 0.948
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.000 0.997 0.000 1.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.000 0.995 1.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.000 0.997 0.000 1.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.000 0.995 1.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.000 0.997 0.000 1.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.000 0.997 0.000 1.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.000 0.997 0.000 1.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.000 0.997 0.000 1.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.000 0.997 0.000 1.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.000 0.997 0.000 1.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.000 0.997 0.000 1.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.000 0.995 1.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.000 0.997 0.000 1.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.000 0.997 0.000 1.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.000 0.995 1.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.000 0.995 1.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.000 0.997 0.000 1.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.000 0.997 0.000 1.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.000 0.995 1.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.000 0.997 0.000 1.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.000 0.997 0.000 1.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.000 0.997 0.000 1.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.000 0.997 0.000 1.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.000 0.997 0.000 1.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.000 0.997 0.000 1.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.000 0.997 0.000 1.000
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.000 0.997 0.000 1.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.000 0.997 0.000 1.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 1 0.118 0.979 0.984 0.016
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.000 0.997 0.000 1.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.000 0.995 1.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.000 0.997 0.000 1.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.000 0.995 1.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.000 0.995 1.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.000 0.997 0.000 1.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.000 0.997 0.000 1.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.000 0.997 0.000 1.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.000 0.995 1.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.000 0.997 0.000 1.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 2 0.000 0.997 0.000 1.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.000 0.997 0.000 1.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 2 0.000 0.997 0.000 1.000
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.000 0.997 0.000 1.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.000 0.995 1.000 0.000
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.000 0.997 0.000 1.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.000 0.997 0.000 1.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.000 0.995 1.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.000 0.997 0.000 1.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.000 0.997 0.000 1.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.000 0.997 0.000 1.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.000 0.997 0.000 1.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.000 0.997 0.000 1.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0.000 0.997 0.000 1.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.000 0.995 1.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.000 0.997 0.000 1.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.000 0.995 1.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.000 0.995 1.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.000 0.997 0.000 1.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0.000 0.997 0.000 1.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.000 0.995 1.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.000 0.997 0.000 1.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.000 0.995 1.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.000 0.997 0.000 1.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.000 0.997 0.000 1.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.000 0.995 1.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.000 0.997 0.000 1.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.000 0.995 1.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.000 0.997 0.000 1.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.000 0.997 0.000 1.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.000 0.995 1.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 2 0.000 0.997 0.000 1.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.000 0.997 0.000 1.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0.000 0.997 0.000 1.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.000 0.995 1.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.000 0.995 1.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.000 0.995 1.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.000 0.997 0.000 1.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.000 0.997 0.000 1.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.000 0.997 0.000 1.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.000 0.997 0.000 1.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.000 0.997 0.000 1.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.000 0.997 0.000 1.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.000 0.997 0.000 1.000
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 2 0.000 0.997 0.000 1.000
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.000 0.997 0.000 1.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.000 0.997 0.000 1.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.000 0.997 0.000 1.000
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.000 0.997 0.000 1.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.000 0.997 0.000 1.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0.000 0.997 0.000 1.000
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.000 0.995 1.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.000 0.997 0.000 1.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 2 0.000 0.997 0.000 1.000
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.000 0.995 1.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.000 0.997 0.000 1.000
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.000 0.997 0.000 1.000
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.000 0.995 1.000 0.000
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.000 0.997 0.000 1.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.000 0.997 0.000 1.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.000 0.995 1.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.000 0.997 0.000 1.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.000 0.995 1.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.000 0.997 0.000 1.000
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.000 0.997 0.000 1.000
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.714 0.756 0.196 0.804
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.000 0.997 0.000 1.000
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.000 0.995 1.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.000 0.995 1.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.000 0.997 0.000 1.000
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.000 0.997 0.000 1.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0.000 0.997 0.000 1.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.000 0.997 0.000 1.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 2 0.714 0.756 0.196 0.804
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.000 0.995 1.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.000 0.997 0.000 1.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.000 0.995 1.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.000 0.995 1.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.000 0.997 0.000 1.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.000 0.995 1.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.000 0.997 0.000 1.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.000 0.997 0.000 1.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.000 0.997 0.000 1.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.000 0.997 0.000 1.000
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.000 0.995 1.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.000 0.995 1.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.000 0.997 0.000 1.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0.000 0.997 0.000 1.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.000 0.995 1.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.000 0.995 1.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.000 0.995 1.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.000 0.997 0.000 1.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 1 0.966 0.351 0.608 0.392
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.000 0.995 1.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.000 0.997 0.000 1.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.000 0.997 0.000 1.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0.000 0.997 0.000 1.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.000 0.995 1.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.000 0.995 1.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.000 0.997 0.000 1.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.000 0.997 0.000 1.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.000 0.997 0.000 1.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.000 0.995 1.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.000 0.997 0.000 1.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.000 0.995 1.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.000 0.997 0.000 1.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.000 0.995 1.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.000 0.997 0.000 1.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.000 0.997 0.000 1.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.000 0.997 0.000 1.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.000 0.997 0.000 1.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.000 0.997 0.000 1.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.000 0.997 0.000 1.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.000 0.995 1.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.000 0.995 1.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.000 0.997 0.000 1.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.000 0.995 1.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.000 0.997 0.000 1.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.000 0.995 1.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.000 0.997 0.000 1.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.000 0.997 0.000 1.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.000 0.997 0.000 1.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.000 0.995 1.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.000 0.997 0.000 1.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.000 0.997 0.000 1.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.000 0.997 0.000 1.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.000 0.997 0.000 1.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.000 0.997 0.000 1.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.000 0.997 0.000 1.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.000 0.995 1.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.000 0.995 1.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.000 0.997 0.000 1.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.000 0.997 0.000 1.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.000 0.997 0.000 1.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.000 0.997 0.000 1.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.000 0.995 1.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.000 0.997 0.000 1.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.000 0.995 1.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.000 0.995 1.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.000 0.997 0.000 1.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.000 0.997 0.000 1.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.000 0.997 0.000 1.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.000 0.995 1.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.000 0.997 0.000 1.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.000 0.997 0.000 1.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.000 0.995 1.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.000 0.997 0.000 1.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.000 0.997 0.000 1.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.000 0.995 1.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.000 0.995 1.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.000 0.997 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.000 0.995 1.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.000 0.997 0.000 1.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.000 0.997 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.000 0.997 0.000 1.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.000 0.995 1.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.000 0.997 0.000 1.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.000 0.997 0.000 1.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.000 0.997 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.000 0.997 0.000 1.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.000 0.997 0.000 1.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.000 0.997 0.000 1.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.000 0.997 0.000 1.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.000 0.995 1.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.000 0.997 0.000 1.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.000 0.997 0.000 1.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.000 0.997 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.000 0.997 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.000 0.995 1.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.000 0.997 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.000 0.997 0.000 1.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.000 0.997 0.000 1.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.000 0.997 0.000 1.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.000 0.995 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.000 0.997 0.000 1.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.000 0.997 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.000 0.995 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.000 0.997 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.000 0.995 1.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.000 0.997 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.000 0.995 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.000 0.997 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.000 0.995 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.000 0.995 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.000 0.997 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.000 0.997 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.000 0.995 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.000 0.997 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.000 0.997 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.9582 0.000 1.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.9582 0.000 1.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0892 0.9762 0.980 0.000 0.020
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.3619 0.8102 0.000 0.864 0.136
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.5016 0.8528 0.000 0.240 0.760
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.4974 0.8550 0.000 0.236 0.764
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.4887 0.8576 0.000 0.228 0.772
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0592 0.9766 0.988 0.000 0.012
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0237 0.9767 0.996 0.000 0.004
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.1031 0.8317 0.000 0.024 0.976
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.4887 0.7776 0.772 0.000 0.228
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.1031 0.8317 0.000 0.024 0.976
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.4887 0.7730 0.772 0.000 0.228
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0892 0.9762 0.980 0.000 0.020
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0237 0.9767 0.996 0.000 0.004
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.9582 0.000 1.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.9582 0.000 1.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.4887 0.8576 0.000 0.228 0.772
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0592 0.9464 0.000 0.988 0.012
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.9582 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.9582 0.000 1.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0892 0.9762 0.980 0.000 0.020
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.9582 0.000 1.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0892 0.9762 0.980 0.000 0.020
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0000 0.9582 0.000 1.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.4062 0.8550 0.000 0.164 0.836
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0592 0.9766 0.988 0.000 0.012
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.9582 0.000 1.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0592 0.9766 0.988 0.000 0.012
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.9582 0.000 1.000 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0237 0.9767 0.996 0.000 0.004
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.4931 0.8568 0.000 0.232 0.768
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0592 0.9766 0.988 0.000 0.012
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0237 0.9767 0.996 0.000 0.004
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.6299 -0.2635 0.000 0.524 0.476
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.0000 0.9582 0.000 1.000 0.000
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#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.4702 0.7956 0.788 0.000 0.212
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0237 0.9537 0.000 0.996 0.004
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0237 0.9767 0.996 0.000 0.004
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0237 0.9767 0.996 0.000 0.004
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.0000 0.9582 0.000 1.000 0.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.9582 0.000 1.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.9582 0.000 1.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0237 0.9767 0.996 0.000 0.004
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.5178 0.8399 0.000 0.256 0.744
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.6244 -0.1075 0.000 0.560 0.440
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0592 0.9768 0.988 0.000 0.012
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.9582 0.000 1.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.9582 0.000 1.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0237 0.9767 0.996 0.000 0.004
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0892 0.9762 0.980 0.000 0.020
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.1031 0.8317 0.000 0.024 0.976
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0892 0.9762 0.980 0.000 0.020
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 3 0.6126 0.6112 0.000 0.400 0.600
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.1031 0.8317 0.000 0.024 0.976
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0000 0.9582 0.000 1.000 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0892 0.9762 0.980 0.000 0.020
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.9582 0.000 1.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.3412 0.8048 0.000 0.876 0.124
#> B3527517-E339-46AE-8437-65303C309015 3 0.4931 0.8568 0.000 0.232 0.768
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.9582 0.000 1.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.3816 0.7678 0.000 0.852 0.148
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.5178 0.8386 0.000 0.256 0.744
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.9582 0.000 1.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0237 0.9767 0.996 0.000 0.004
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0000 0.9582 0.000 1.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.9582 0.000 1.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.1031 0.8317 0.000 0.024 0.976
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.1031 0.8317 0.000 0.024 0.976
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0892 0.9762 0.980 0.000 0.020
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.4062 0.8550 0.000 0.164 0.836
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.3267 0.8166 0.000 0.884 0.116
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.9582 0.000 1.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.9582 0.000 1.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0237 0.9767 0.996 0.000 0.004
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.5988 0.1982 0.000 0.632 0.368
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.9582 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0237 0.9767 0.996 0.000 0.004
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0000 0.9582 0.000 1.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0892 0.9762 0.980 0.000 0.020
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.9582 0.000 1.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0892 0.9762 0.980 0.000 0.020
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.9582 0.000 1.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0237 0.9767 0.996 0.000 0.004
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0237 0.9767 0.996 0.000 0.004
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.9582 0.000 1.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.9582 0.000 1.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0237 0.9767 0.996 0.000 0.004
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.9582 0.000 1.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.9582 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.4406 0.775 0.700 0.000 0.000 0.300
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.5269 0.420 0.000 0.620 0.016 0.364
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.3726 0.798 0.788 0.000 0.000 0.212
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 4 0.4250 0.688 0.276 0.000 0.000 0.724
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.1637 0.919 0.000 0.000 0.940 0.060
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 4 0.2704 0.760 0.124 0.000 0.000 0.876
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.3907 0.799 0.768 0.000 0.000 0.232
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.1022 0.941 0.000 0.968 0.000 0.032
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.2751 0.884 0.000 0.904 0.040 0.056
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.4382 0.777 0.704 0.000 0.000 0.296
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.4406 0.775 0.700 0.000 0.000 0.300
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.1302 0.933 0.000 0.956 0.000 0.044
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.3837 0.796 0.776 0.000 0.000 0.224
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.2760 0.815 0.872 0.000 0.000 0.128
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.4040 0.783 0.752 0.000 0.000 0.248
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 3 0.2011 0.848 0.000 0.080 0.920 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.0921 0.944 0.000 0.972 0.000 0.028
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 3 0.2760 0.777 0.000 0.128 0.872 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 4 0.4323 0.597 0.000 0.028 0.184 0.788
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.4361 0.712 0.000 0.772 0.020 0.208
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.4406 0.775 0.700 0.000 0.000 0.300
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.1792 0.917 0.000 0.000 0.932 0.068
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.0592 0.921 0.000 0.000 0.984 0.016
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.4431 0.772 0.696 0.000 0.000 0.304
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.3377 0.852 0.000 0.012 0.848 0.140
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.1118 0.938 0.000 0.964 0.000 0.036
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.4406 0.775 0.700 0.000 0.000 0.300
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 3 0.4284 0.601 0.000 0.224 0.764 0.012
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.1661 0.923 0.004 0.944 0.000 0.052
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.7796 -0.242 0.284 0.000 0.424 0.292
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.4103 0.793 0.744 0.000 0.000 0.256
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.3356 0.816 0.824 0.000 0.000 0.176
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.1792 0.917 0.000 0.000 0.932 0.068
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.4163 0.783 0.000 0.096 0.828 0.076
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.2216 0.817 0.908 0.000 0.000 0.092
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.2011 0.912 0.000 0.000 0.920 0.080
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.2973 0.866 0.000 0.000 0.856 0.144
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 4 0.2589 0.681 0.116 0.000 0.000 0.884
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.1792 0.917 0.000 0.000 0.932 0.068
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.4406 0.775 0.700 0.000 0.000 0.300
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.2908 0.870 0.000 0.896 0.040 0.064
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 3 0.0336 0.923 0.008 0.000 0.992 0.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.1792 0.917 0.000 0.000 0.932 0.068
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.1792 0.917 0.000 0.000 0.932 0.068
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.1118 0.938 0.000 0.964 0.000 0.036
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.4431 0.772 0.696 0.000 0.000 0.304
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.1792 0.917 0.000 0.000 0.932 0.068
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.1940 0.914 0.000 0.000 0.924 0.076
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.3688 0.799 0.792 0.000 0.000 0.208
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.4985 0.106 0.000 0.532 0.000 0.468
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0336 0.829 0.992 0.000 0.000 0.008
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.3895 0.763 0.000 0.832 0.132 0.036
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0188 0.829 0.996 0.000 0.000 0.004
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.4605 0.706 0.664 0.000 0.000 0.336
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.2647 0.876 0.000 0.000 0.880 0.120
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 3 0.0188 0.925 0.000 0.000 0.996 0.004
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.1792 0.917 0.000 0.000 0.932 0.068
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.3942 0.798 0.764 0.000 0.000 0.236
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.4406 0.775 0.700 0.000 0.000 0.300
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.2081 0.909 0.000 0.000 0.916 0.084
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.1792 0.917 0.000 0.000 0.932 0.068
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 3 0.1902 0.917 0.000 0.004 0.932 0.064
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.1792 0.917 0.000 0.000 0.932 0.068
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.2647 0.887 0.000 0.000 0.880 0.120
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.2081 0.910 0.000 0.000 0.916 0.084
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 3 0.5282 0.478 0.000 0.276 0.688 0.036
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.1022 0.938 0.000 0.968 0.000 0.032
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.4605 0.739 0.664 0.000 0.000 0.336
#> 74868C37-8143-4306-81CA-E45759D146CD 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.4543 0.752 0.676 0.000 0.000 0.324
#> E0961A30-A62C-4235-9CF0-A1776827A996 3 0.5288 0.607 0.000 0.200 0.732 0.068
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 3 0.5374 0.535 0.000 0.244 0.704 0.052
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.6080 0.452 0.100 0.664 0.000 0.236
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.1211 0.936 0.000 0.960 0.000 0.040
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.4382 0.777 0.704 0.000 0.000 0.296
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.0921 0.944 0.000 0.972 0.000 0.028
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.1792 0.917 0.000 0.000 0.932 0.068
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.4406 0.775 0.700 0.000 0.000 0.300
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.1211 0.936 0.000 0.960 0.000 0.040
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.4761 0.690 0.628 0.000 0.000 0.372
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.1211 0.928 0.000 0.960 0.040 0.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 4 0.4250 0.544 0.000 0.276 0.000 0.724
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.4406 0.775 0.700 0.000 0.000 0.300
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.1792 0.917 0.000 0.000 0.932 0.068
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.4406 0.775 0.700 0.000 0.000 0.300
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0336 0.956 0.000 0.992 0.008 0.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 4 0.4798 0.739 0.180 0.052 0.000 0.768
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.2345 0.820 0.900 0.000 0.000 0.100
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.4406 0.775 0.700 0.000 0.000 0.300
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 3 0.1716 0.868 0.000 0.064 0.936 0.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.2760 0.815 0.872 0.000 0.000 0.128
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.1867 0.915 0.000 0.000 0.928 0.072
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0707 0.947 0.000 0.980 0.020 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0592 0.950 0.000 0.984 0.016 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.4406 0.775 0.700 0.000 0.000 0.300
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.4406 0.775 0.700 0.000 0.000 0.300
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.4304 0.783 0.716 0.000 0.000 0.284
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.1792 0.917 0.000 0.000 0.932 0.068
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.1716 0.917 0.000 0.000 0.936 0.064
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.4406 0.775 0.700 0.000 0.000 0.300
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.1022 0.941 0.000 0.968 0.000 0.032
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.1792 0.917 0.000 0.000 0.932 0.068
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.1637 0.918 0.000 0.000 0.940 0.060
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.4382 0.777 0.704 0.000 0.000 0.296
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 4 0.3688 0.717 0.208 0.000 0.000 0.792
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0188 0.958 0.000 0.996 0.000 0.004
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.1557 0.923 0.000 0.944 0.000 0.056
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.1557 0.919 0.000 0.000 0.944 0.056
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 3 0.5998 0.483 0.000 0.248 0.664 0.088
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.3123 0.807 0.844 0.000 0.000 0.156
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0336 0.956 0.000 0.992 0.008 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.4406 0.775 0.700 0.000 0.000 0.300
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.1792 0.917 0.000 0.000 0.932 0.068
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.3123 0.812 0.844 0.000 0.000 0.156
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 3 0.0336 0.922 0.000 0.008 0.992 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.2081 0.911 0.000 0.000 0.916 0.084
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0921 0.944 0.000 0.972 0.000 0.028
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.4406 0.775 0.700 0.000 0.000 0.300
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.3850 0.787 0.000 0.840 0.116 0.044
#> B3527517-E339-46AE-8437-65303C309015 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.3885 0.802 0.000 0.844 0.092 0.064
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.3143 0.862 0.000 0.024 0.876 0.100
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0188 0.959 0.000 0.996 0.000 0.004
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.2011 0.913 0.000 0.000 0.920 0.080
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.4382 0.777 0.704 0.000 0.000 0.296
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0000 0.926 0.000 0.000 1.000 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.6040 0.446 0.000 0.648 0.272 0.080
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0921 0.944 0.000 0.972 0.000 0.028
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.4981 0.159 0.000 0.536 0.464 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.4406 0.775 0.700 0.000 0.000 0.300
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.4193 0.787 0.732 0.000 0.000 0.268
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.829 1.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.961 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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.908080 0.000 1.000 0.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0162 0.907722 0.000 0.996 0.000 0.004 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 5 0.4602 0.853844 0.316 0.000 0.000 0.028 0.656
#> 3182DEA1-4239-4613-925A-7E6503766AD6 4 0.5146 0.293739 0.000 0.316 0.032 0.636 0.016
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.0162 0.755038 0.000 0.000 0.996 0.004 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.0000 0.756594 0.000 0.000 1.000 0.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0000 0.756594 0.000 0.000 1.000 0.000 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 5 0.5009 0.702849 0.428 0.000 0.000 0.032 0.540
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#> 30967F75-8499-47FF-ADA4-4DC566013F7B 5 0.3876 0.859476 0.316 0.000 0.000 0.000 0.684
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 3 0.0000 0.756594 0.000 0.000 1.000 0.000 0.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.4907 0.490132 0.000 0.000 0.656 0.292 0.052
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 5 0.3876 0.859476 0.316 0.000 0.000 0.000 0.684
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.933951 1.000 0.000 0.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.933951 1.000 0.000 0.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.1205 0.880409 0.000 0.956 0.040 0.004 0.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 5 0.5508 0.354936 0.060 0.012 0.000 0.316 0.612
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.4924 -0.410967 0.552 0.000 0.000 0.028 0.420
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.0794 0.893567 0.000 0.972 0.000 0.028 0.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.908080 0.000 1.000 0.000 0.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 3 0.0000 0.756594 0.000 0.000 1.000 0.000 0.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.933951 1.000 0.000 0.000 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.933951 1.000 0.000 0.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.908080 0.000 1.000 0.000 0.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0162 0.907722 0.000 0.996 0.000 0.004 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.0000 0.756594 0.000 0.000 1.000 0.000 0.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 5 0.3586 0.851279 0.264 0.000 0.000 0.000 0.736
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 3 0.0162 0.755038 0.000 0.000 0.996 0.004 0.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.933951 1.000 0.000 0.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 3 0.0451 0.747583 0.000 0.008 0.988 0.004 0.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.4101 -0.030068 0.628 0.000 0.000 0.000 0.372
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.5272 0.311536 0.000 0.000 0.552 0.396 0.052
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.2068 0.829036 0.000 0.904 0.092 0.004 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.0000 0.756594 0.000 0.000 1.000 0.000 0.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.0162 0.755038 0.000 0.000 0.996 0.004 0.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.1124 0.883204 0.000 0.960 0.036 0.004 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.908080 0.000 1.000 0.000 0.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 5 0.3876 0.859476 0.316 0.000 0.000 0.000 0.684
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.933951 1.000 0.000 0.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.908080 0.000 1.000 0.000 0.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 5 0.3876 0.859476 0.316 0.000 0.000 0.000 0.684
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0162 0.906867 0.000 0.996 0.000 0.004 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 5 0.3913 0.855264 0.324 0.000 0.000 0.000 0.676
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0162 0.907722 0.000 0.996 0.000 0.004 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.5114 0.427136 0.000 0.000 0.608 0.340 0.052
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.4823 0.507622 0.000 0.000 0.672 0.276 0.052
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 5 0.3876 0.859476 0.316 0.000 0.000 0.000 0.684
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 3 0.0162 0.755038 0.000 0.000 0.996 0.004 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0162 0.907722 0.000 0.996 0.000 0.004 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.3366 0.711589 0.000 0.768 0.000 0.232 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.908080 0.000 1.000 0.000 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.5114 0.427464 0.000 0.000 0.608 0.340 0.052
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.4730 0.525128 0.000 0.000 0.688 0.260 0.052
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 5 0.3895 0.857683 0.320 0.000 0.000 0.000 0.680
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.933951 1.000 0.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.0162 0.755038 0.000 0.000 0.996 0.004 0.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.908080 0.000 1.000 0.000 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.0000 0.756594 0.000 0.000 1.000 0.000 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.0771 0.896330 0.000 0.976 0.000 0.020 0.004
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 5 0.6660 -0.000574 0.228 0.000 0.000 0.380 0.392
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.3276 0.760193 0.000 0.836 0.000 0.032 0.132
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.933951 1.000 0.000 0.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.933951 1.000 0.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.4206 0.625722 0.000 0.696 0.000 0.288 0.016
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.908080 0.000 1.000 0.000 0.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.908080 0.000 1.000 0.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0609 0.909301 0.980 0.000 0.000 0.000 0.020
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.4573 0.536506 0.000 0.000 0.700 0.256 0.044
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 4 0.6493 0.396159 0.000 0.152 0.360 0.480 0.008
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.5544 0.360593 0.648 0.000 0.000 0.168 0.184
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.1205 0.880544 0.000 0.956 0.040 0.004 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0162 0.907722 0.000 0.996 0.000 0.004 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.933951 1.000 0.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 5 0.3366 0.833030 0.232 0.000 0.000 0.000 0.768
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.5099 0.433945 0.000 0.000 0.612 0.336 0.052
#> A26025AC-9F71-4C07-9135-83593193BBB2 5 0.4278 0.650280 0.452 0.000 0.000 0.000 0.548
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 3 0.0162 0.755038 0.000 0.000 0.996 0.004 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.4811 0.199272 0.000 0.000 0.528 0.452 0.020
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.3452 0.697758 0.000 0.756 0.000 0.244 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 5 0.3612 0.852523 0.268 0.000 0.000 0.000 0.732
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0162 0.907722 0.000 0.996 0.000 0.004 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.5492 0.423896 0.000 0.588 0.068 0.340 0.004
#> B3527517-E339-46AE-8437-65303C309015 3 0.0000 0.756594 0.000 0.000 1.000 0.000 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0162 0.907722 0.000 0.996 0.000 0.004 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.4686 0.428508 0.000 0.588 0.012 0.396 0.004
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.4810 0.311976 0.000 0.012 0.400 0.580 0.008
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.908080 0.000 1.000 0.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.933951 1.000 0.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.1626 0.870918 0.000 0.940 0.000 0.016 0.044
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.908080 0.000 1.000 0.000 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0000 0.756594 0.000 0.000 1.000 0.000 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.5308 0.263936 0.000 0.000 0.532 0.416 0.052
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 5 0.3932 0.852427 0.328 0.000 0.000 0.000 0.672
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0162 0.755684 0.000 0.000 0.996 0.004 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 4 0.6852 0.337285 0.000 0.336 0.224 0.432 0.008
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.908080 0.000 1.000 0.000 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.2891 0.771192 0.000 0.824 0.000 0.176 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.933951 1.000 0.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 3 0.3814 0.186924 0.000 0.276 0.720 0.004 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.908080 0.000 1.000 0.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.933951 1.000 0.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0162 0.906867 0.000 0.996 0.000 0.004 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 5 0.3876 0.859476 0.316 0.000 0.000 0.000 0.684
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0162 0.907722 0.000 0.996 0.000 0.004 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 5 0.4733 0.827079 0.348 0.000 0.000 0.028 0.624
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.908080 0.000 1.000 0.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.933951 1.000 0.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.933951 1.000 0.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0162 0.907722 0.000 0.996 0.000 0.004 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0162 0.906867 0.000 0.996 0.000 0.004 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.933951 1.000 0.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0162 0.907722 0.000 0.996 0.000 0.004 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0162 0.907722 0.000 0.996 0.000 0.004 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0363 0.9327 0.000 0.988 0.000 0.012 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.9348 0.000 1.000 0.000 0.000 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.3931 0.8076 0.800 0.000 0.000 0.100 0.036 0.064
#> 3182DEA1-4239-4613-925A-7E6503766AD6 4 0.4250 0.6078 0.004 0.052 0.044 0.780 0.000 0.120
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.0000 0.8186 0.000 0.000 1.000 0.000 0.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.0000 0.8186 0.000 0.000 1.000 0.000 0.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0000 0.8186 0.000 0.000 1.000 0.000 0.000 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.5061 0.7539 0.712 0.000 0.000 0.100 0.124 0.064
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 5 0.0000 0.9802 0.000 0.000 0.000 0.000 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0000 0.8186 0.000 0.000 1.000 0.000 0.000 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 6 0.2858 0.3093 0.028 0.000 0.000 0.016 0.092 0.864
#> 844E4CCD-D30C-416F-A086-8923711A4E25 6 0.3073 0.3907 0.000 0.000 0.204 0.008 0.000 0.788
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 6 0.2911 0.3105 0.036 0.000 0.000 0.052 0.040 0.872
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.1267 0.8775 0.940 0.000 0.000 0.000 0.060 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 5 0.0000 0.9802 0.000 0.000 0.000 0.000 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0146 0.9346 0.000 0.996 0.000 0.004 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.3797 0.3854 0.000 0.420 0.000 0.580 0.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0000 0.8186 0.000 0.000 1.000 0.000 0.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.4184 0.6494 0.004 0.140 0.084 0.764 0.000 0.008
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.9348 0.000 1.000 0.000 0.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0363 0.9329 0.000 0.988 0.000 0.012 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0937 0.8855 0.960 0.000 0.000 0.000 0.040 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0146 0.9336 0.000 0.996 0.004 0.000 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0363 0.8814 0.988 0.000 0.000 0.000 0.012 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.2581 0.6159 0.000 0.120 0.000 0.860 0.000 0.020
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.0000 0.8186 0.000 0.000 1.000 0.000 0.000 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.4940 0.7602 0.724 0.000 0.000 0.100 0.112 0.064
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.9348 0.000 1.000 0.000 0.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.3864 0.1596 0.520 0.000 0.000 0.000 0.480 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0632 0.9274 0.000 0.976 0.000 0.024 0.000 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 5 0.0000 0.9802 0.000 0.000 0.000 0.000 1.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.0000 0.8186 0.000 0.000 1.000 0.000 0.000 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.4930 0.7443 0.728 0.000 0.000 0.100 0.088 0.084
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 5 0.0000 0.9802 0.000 0.000 0.000 0.000 1.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 3 0.0806 0.7973 0.000 0.020 0.972 0.008 0.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.4423 0.5563 0.000 0.272 0.000 0.668 0.000 0.060
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 3 0.0993 0.7962 0.000 0.012 0.964 0.024 0.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 6 0.1565 0.3328 0.028 0.000 0.004 0.028 0.000 0.940
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 4 0.5150 0.3846 0.116 0.064 0.000 0.704 0.000 0.116
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0547 0.8841 0.980 0.000 0.000 0.000 0.020 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 6 0.6092 0.6223 0.000 0.000 0.348 0.280 0.000 0.372
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 5 0.0790 0.9554 0.000 0.000 0.000 0.032 0.968 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0146 0.9338 0.000 0.996 0.000 0.004 0.000 0.000
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#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0790 0.8862 0.968 0.000 0.000 0.000 0.032 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 5 0.0000 0.9802 0.000 0.000 0.000 0.000 1.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.9348 0.000 1.000 0.000 0.000 0.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0790 0.8862 0.968 0.000 0.000 0.000 0.032 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0713 0.9249 0.000 0.972 0.000 0.028 0.000 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.1007 0.8845 0.956 0.000 0.000 0.000 0.044 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0146 0.9341 0.000 0.996 0.000 0.004 0.000 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 6 0.6092 0.6223 0.000 0.000 0.348 0.280 0.000 0.372
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.6083 -0.5786 0.000 0.000 0.388 0.280 0.000 0.332
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.1334 0.8837 0.948 0.000 0.000 0.020 0.032 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 3 0.0146 0.8171 0.000 0.000 0.996 0.004 0.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0146 0.9338 0.000 0.996 0.000 0.004 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.3782 0.1814 0.000 0.588 0.000 0.412 0.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0458 0.9313 0.000 0.984 0.000 0.016 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 6 0.6099 0.6215 0.000 0.000 0.348 0.284 0.000 0.368
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.6086 -0.5736 0.000 0.000 0.388 0.284 0.000 0.328
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0937 0.8855 0.960 0.000 0.000 0.000 0.040 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 5 0.0000 0.9802 0.000 0.000 0.000 0.000 1.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.0146 0.8171 0.000 0.000 0.996 0.004 0.000 0.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0458 0.9309 0.000 0.984 0.000 0.000 0.000 0.016
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.0000 0.8186 0.000 0.000 1.000 0.000 0.000 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.2058 0.8732 0.000 0.908 0.000 0.036 0.000 0.056
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 6 0.5401 0.0842 0.168 0.000 0.000 0.008 0.212 0.612
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.4096 0.7132 0.052 0.792 0.000 0.092 0.000 0.064
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 5 0.0000 0.9802 0.000 0.000 0.000 0.000 1.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 5 0.0000 0.9802 0.000 0.000 0.000 0.000 1.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.4977 -0.1103 0.004 0.496 0.000 0.444 0.000 0.056
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0146 0.9346 0.000 0.996 0.000 0.004 0.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0146 0.9346 0.000 0.996 0.000 0.004 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 5 0.1245 0.9369 0.032 0.000 0.000 0.016 0.952 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.6099 -0.5676 0.000 0.000 0.384 0.300 0.000 0.316
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 4 0.3413 0.5814 0.004 0.016 0.144 0.816 0.000 0.020
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 5 0.6597 0.3174 0.120 0.000 0.000 0.084 0.472 0.324
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.2070 0.8366 0.000 0.896 0.092 0.012 0.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.9348 0.000 1.000 0.000 0.000 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 5 0.0000 0.9802 0.000 0.000 0.000 0.000 1.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0363 0.8814 0.988 0.000 0.000 0.000 0.012 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 6 0.6100 0.6158 0.000 0.000 0.352 0.284 0.000 0.364
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.2762 0.7644 0.804 0.000 0.000 0.000 0.196 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 3 0.0508 0.8084 0.000 0.012 0.984 0.004 0.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 4 0.5787 -0.3744 0.000 0.000 0.248 0.504 0.000 0.248
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.3854 -0.0307 0.000 0.536 0.000 0.464 0.000 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0458 0.8829 0.984 0.000 0.000 0.000 0.016 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.9348 0.000 1.000 0.000 0.000 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 4 0.3617 0.6231 0.000 0.244 0.020 0.736 0.000 0.000
#> B3527517-E339-46AE-8437-65303C309015 3 0.0000 0.8186 0.000 0.000 1.000 0.000 0.000 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0146 0.9338 0.000 0.996 0.000 0.004 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 4 0.3905 0.5277 0.004 0.356 0.000 0.636 0.000 0.004
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.3152 0.5696 0.004 0.004 0.148 0.824 0.000 0.020
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.9348 0.000 1.000 0.000 0.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 5 0.0000 0.9802 0.000 0.000 0.000 0.000 1.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.2252 0.8594 0.016 0.900 0.000 0.012 0.000 0.072
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0146 0.9346 0.000 0.996 0.000 0.004 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0000 0.8186 0.000 0.000 1.000 0.000 0.000 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 6 0.6020 0.6292 0.000 0.000 0.248 0.344 0.000 0.408
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.1007 0.8844 0.956 0.000 0.000 0.000 0.044 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0291 0.8137 0.000 0.000 0.992 0.004 0.000 0.004
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 4 0.3471 0.6214 0.004 0.044 0.116 0.824 0.000 0.012
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0458 0.9313 0.000 0.984 0.000 0.016 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.3515 0.4510 0.000 0.676 0.000 0.324 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 5 0.0000 0.9802 0.000 0.000 0.000 0.000 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 3 0.3879 0.3433 0.000 0.292 0.688 0.020 0.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.9348 0.000 1.000 0.000 0.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 5 0.0000 0.9802 0.000 0.000 0.000 0.000 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0713 0.9251 0.000 0.972 0.000 0.028 0.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0790 0.8862 0.968 0.000 0.000 0.000 0.032 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0146 0.9338 0.000 0.996 0.000 0.004 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.4524 0.7881 0.760 0.000 0.000 0.100 0.076 0.064
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.9348 0.000 1.000 0.000 0.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 5 0.0000 0.9802 0.000 0.000 0.000 0.000 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 5 0.0000 0.9802 0.000 0.000 0.000 0.000 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.9348 0.000 1.000 0.000 0.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0547 0.9294 0.000 0.980 0.000 0.020 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 5 0.0000 0.9802 0.000 0.000 0.000 0.000 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.9348 0.000 1.000 0.000 0.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0405 0.9299 0.000 0.988 0.008 0.004 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "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 17288 rows and 266 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.992 0.974 0.987 0.4409 0.566 0.566
#> 3 3 0.590 0.612 0.807 0.3191 0.839 0.715
#> 4 4 0.561 0.573 0.761 0.1253 0.829 0.622
#> 5 5 0.551 0.522 0.763 0.0734 0.812 0.540
#> 6 6 0.539 0.500 0.733 0.0525 0.898 0.691
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.982 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.982 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.997 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0000 0.982 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.0000 0.982 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.0000 0.982 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.5946 0.847 0.144 0.856
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.997 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.997 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.6887 0.796 0.184 0.816
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.1633 0.975 0.976 0.024
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.6887 0.796 0.184 0.816
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.1633 0.975 0.976 0.024
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0376 0.994 0.996 0.004
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.997 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.982 0.000 1.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.982 0.000 1.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.0000 0.982 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0000 0.982 0.000 1.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.982 0.000 1.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.982 0.000 1.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.997 1.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.982 0.000 1.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0376 0.994 0.996 0.004
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0000 0.982 0.000 1.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.5946 0.847 0.144 0.856
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.997 1.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.982 0.000 1.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.997 1.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.1633 0.967 0.024 0.976
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.997 1.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.2043 0.962 0.032 0.968
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.5408 0.854 0.876 0.124
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.997 1.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.982 0.000 1.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.1633 0.967 0.024 0.976
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0000 0.982 0.000 1.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 2 0.9129 0.548 0.328 0.672
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.0000 0.982 0.000 1.000
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#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.3274 0.938 0.060 0.940
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.997 1.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.982 0.000 1.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0000 0.982 0.000 1.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.2043 0.962 0.032 0.968
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.982 0.000 1.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0000 0.982 0.000 1.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.1843 0.965 0.028 0.972
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.982 0.000 1.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.997 1.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0000 0.982 0.000 1.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.982 0.000 1.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.5946 0.847 0.144 0.856
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.0000 0.982 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.997 1.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.1184 0.973 0.016 0.984
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.982 0.000 1.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.982 0.000 1.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.982 0.000 1.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.997 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.982 0.000 1.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.982 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.997 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.3274 0.938 0.060 0.940
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0376 0.994 0.996 0.004
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.982 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.997 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.982 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.997 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.997 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.982 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.982 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.997 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.982 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.982 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.5431 0.50172 0.000 0.716 0.284
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0592 0.59572 0.000 0.988 0.012
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.98065 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.6267 -0.08118 0.000 0.548 0.452
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.5968 0.28990 0.000 0.636 0.364
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.5968 0.28990 0.000 0.636 0.364
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.5639 0.62857 0.016 0.232 0.752
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.98065 1.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.98065 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.5277 0.58267 0.024 0.180 0.796
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.5529 0.75412 0.704 0.000 0.296
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.5223 0.57841 0.024 0.176 0.800
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.5529 0.75412 0.704 0.000 0.296
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0424 0.97828 0.992 0.000 0.008
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.98065 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.6215 0.05721 0.000 0.572 0.428
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0424 0.59262 0.000 0.992 0.008
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.6026 0.26009 0.000 0.624 0.376
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.5678 0.42181 0.000 0.684 0.316
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.3412 0.62264 0.000 0.876 0.124
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.3482 0.62062 0.000 0.872 0.128
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.98065 1.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0592 0.58955 0.000 0.988 0.012
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0424 0.97830 0.992 0.000 0.008
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.5327 0.51281 0.000 0.728 0.272
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.5551 0.62604 0.016 0.224 0.760
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0237 0.97961 0.996 0.000 0.004
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.6140 0.15327 0.000 0.596 0.404
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.2448 0.94595 0.924 0.000 0.076
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.6804 -0.17025 0.012 0.528 0.460
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.98065 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.6783 0.17249 0.016 0.588 0.396
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.3644 0.87380 0.872 0.004 0.124
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.98065 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.2537 0.62401 0.000 0.920 0.080
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.5659 0.51702 0.012 0.740 0.248
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.2796 0.62298 0.000 0.908 0.092
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.3434 0.40122 0.064 0.032 0.904
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.5363 0.50626 0.000 0.724 0.276
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.2356 0.94809 0.928 0.000 0.072
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.6095 0.66636 0.000 0.392 0.608
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.98065 1.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.1163 0.61184 0.000 0.972 0.028
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.6252 -0.02634 0.000 0.556 0.444
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.4504 0.60082 0.000 0.804 0.196
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.3412 0.61179 0.000 0.876 0.124
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.6225 0.04110 0.000 0.568 0.432
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.4235 0.60651 0.000 0.824 0.176
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.6081 0.38246 0.004 0.652 0.344
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0237 0.97939 0.996 0.000 0.004
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.6192 0.09739 0.000 0.580 0.420
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0237 0.60103 0.000 0.996 0.004
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.98065 1.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.98065 1.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.6267 -0.08118 0.000 0.548 0.452
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.3120 0.61443 0.012 0.908 0.080
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0237 0.97939 0.996 0.000 0.004
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.6381 0.37609 0.012 0.648 0.340
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0592 0.58955 0.000 0.988 0.012
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.4235 0.60332 0.000 0.824 0.176
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.4346 0.59950 0.000 0.816 0.184
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.6026 0.26009 0.000 0.624 0.376
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.4504 0.59292 0.000 0.804 0.196
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.6019 0.47600 0.012 0.700 0.288
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.3038 0.62368 0.000 0.896 0.104
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0592 0.59516 0.000 0.988 0.012
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.6252 0.55339 0.000 0.444 0.556
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.5810 0.37975 0.000 0.664 0.336
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.98065 1.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.6192 0.08790 0.000 0.580 0.420
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.98065 1.000 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.1031 0.97155 0.976 0.000 0.024
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.6095 0.66636 0.000 0.392 0.608
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.3445 0.57608 0.016 0.896 0.088
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.4346 0.59950 0.000 0.816 0.184
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.98065 1.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.6252 -0.02634 0.000 0.556 0.444
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.4413 0.50931 0.024 0.124 0.852
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.6252 -0.02634 0.000 0.556 0.444
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.5506 0.62240 0.016 0.220 0.764
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.3412 0.62781 0.000 0.876 0.124
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0892 0.97335 0.980 0.000 0.020
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.6095 0.66636 0.000 0.392 0.608
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.5882 0.35131 0.000 0.652 0.348
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.2356 0.94809 0.928 0.000 0.072
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.1753 0.61523 0.000 0.952 0.048
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.6260 0.55324 0.000 0.448 0.552
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.5291 0.51254 0.000 0.732 0.268
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.6280 0.53259 0.000 0.460 0.540
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.6305 -0.33231 0.000 0.516 0.484
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.6095 0.66636 0.000 0.392 0.608
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.98065 1.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.1860 0.61680 0.000 0.948 0.052
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0237 0.97939 0.996 0.000 0.004
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.98065 1.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.6095 0.66636 0.000 0.392 0.608
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.5945 0.62804 0.024 0.236 0.740
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0237 0.97961 0.996 0.000 0.004
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 3 0.6309 0.35385 0.000 0.496 0.504
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.98065 1.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.3995 0.60234 0.016 0.868 0.116
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.6026 0.26009 0.000 0.624 0.376
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.98065 1.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.4654 0.58453 0.000 0.792 0.208
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0237 0.97961 0.996 0.000 0.004
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.6267 -0.08118 0.000 0.548 0.452
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.2796 0.62298 0.000 0.908 0.092
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.98065 1.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 2 0.3995 0.60234 0.016 0.868 0.116
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.6026 0.26009 0.000 0.624 0.376
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.6095 0.66636 0.000 0.392 0.608
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0000 0.98065 1.000 0.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.98065 1.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0237 0.97939 0.996 0.000 0.004
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.5678 0.43211 0.000 0.684 0.316
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.6079 0.66648 0.000 0.388 0.612
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.6200 0.44213 0.012 0.676 0.312
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.4399 0.59958 0.000 0.812 0.188
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.6079 0.21992 0.000 0.612 0.388
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.6095 0.66636 0.000 0.392 0.608
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.1031 0.57856 0.000 0.976 0.024
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.5167 0.57318 0.024 0.172 0.804
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.6026 0.26009 0.000 0.624 0.376
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.6111 0.18966 0.000 0.604 0.396
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.1031 0.57856 0.000 0.976 0.024
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.6225 0.04110 0.000 0.568 0.432
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.4235 0.60332 0.000 0.824 0.176
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.5551 0.62604 0.016 0.224 0.760
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.2448 0.94595 0.924 0.000 0.076
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.3412 0.61022 0.000 0.876 0.124
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.5223 0.57841 0.024 0.176 0.800
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.98065 1.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.4099 0.56154 0.008 0.852 0.140
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 3 0.6302 0.41655 0.000 0.480 0.520
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0892 0.97335 0.980 0.000 0.020
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.3340 0.62418 0.000 0.880 0.120
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.5465 0.48446 0.000 0.712 0.288
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.98065 1.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.6215 0.05721 0.000 0.572 0.428
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0424 0.97830 0.992 0.000 0.008
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.5619 0.53913 0.012 0.744 0.244
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.5619 0.53913 0.012 0.744 0.244
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.6804 -0.17025 0.012 0.528 0.460
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.3618 0.60651 0.012 0.884 0.104
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.98065 1.000 0.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0000 0.98065 1.000 0.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.1860 0.61348 0.000 0.948 0.052
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0424 0.60313 0.000 0.992 0.008
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.6140 0.64874 0.000 0.404 0.596
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.5810 0.37793 0.000 0.664 0.336
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.5731 0.62577 0.020 0.228 0.752
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0000 0.98065 1.000 0.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.2356 0.62261 0.000 0.928 0.072
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.98065 1.000 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.98065 1.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.5327 0.51281 0.000 0.728 0.272
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.2356 0.94809 0.928 0.000 0.072
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.6026 0.26009 0.000 0.624 0.376
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.0592 0.58955 0.000 0.988 0.012
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.6026 0.25281 0.000 0.624 0.376
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 3 0.6244 0.56516 0.000 0.440 0.560
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.98065 1.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 0.98065 1.000 0.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.6045 0.23263 0.000 0.620 0.380
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.6095 0.66636 0.000 0.392 0.608
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.1031 0.97155 0.976 0.000 0.024
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.98065 1.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.98065 1.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0592 0.58955 0.000 0.988 0.012
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 3 0.6260 0.53894 0.000 0.448 0.552
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.2448 0.94595 0.924 0.000 0.076
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.6307 0.39726 0.012 0.660 0.328
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.6215 0.06099 0.000 0.572 0.428
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0.6848 0.07871 0.016 0.568 0.416
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.1031 0.97155 0.976 0.000 0.024
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.98065 1.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.6244 -0.00325 0.000 0.560 0.440
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.1753 0.61579 0.000 0.952 0.048
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.6062 0.22779 0.000 0.616 0.384
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.2356 0.94809 0.928 0.000 0.072
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.3038 0.62368 0.000 0.896 0.104
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.98065 1.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.0592 0.58955 0.000 0.988 0.012
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0747 0.97501 0.984 0.000 0.016
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.6095 0.66636 0.000 0.392 0.608
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.1031 0.60071 0.000 0.976 0.024
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.6062 0.22920 0.000 0.616 0.384
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.6062 0.22920 0.000 0.616 0.384
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0592 0.58955 0.000 0.988 0.012
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.5706 0.41116 0.000 0.680 0.320
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.98065 1.000 0.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.98065 1.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.6244 -0.00253 0.000 0.560 0.440
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.2448 0.94595 0.924 0.000 0.076
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.6228 0.42320 0.012 0.672 0.316
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.2448 0.94595 0.924 0.000 0.076
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0592 0.59572 0.000 0.988 0.012
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.5945 0.62804 0.024 0.236 0.740
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.6204 0.62299 0.000 0.424 0.576
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0892 0.97335 0.980 0.000 0.020
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.2796 0.62298 0.000 0.908 0.092
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.3752 0.61892 0.000 0.856 0.144
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.1643 0.61383 0.000 0.956 0.044
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.6215 0.06099 0.000 0.572 0.428
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.6168 0.63897 0.000 0.412 0.588
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.4399 0.59958 0.000 0.812 0.188
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0424 0.97828 0.992 0.000 0.008
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.98065 1.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.1860 0.60949 0.000 0.948 0.052
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.6267 -0.07374 0.000 0.548 0.452
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.6026 0.26009 0.000 0.624 0.376
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.6600 0.21281 0.012 0.604 0.384
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.5529 0.75412 0.704 0.000 0.296
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 3 0.6295 0.45545 0.000 0.472 0.528
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.2448 0.94595 0.924 0.000 0.076
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.98065 1.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.5363 0.50626 0.000 0.724 0.276
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0592 0.59572 0.000 0.988 0.012
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.6215 0.06099 0.000 0.572 0.428
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.98065 1.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.4399 0.59958 0.000 0.812 0.188
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.6267 -0.08118 0.000 0.548 0.452
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0892 0.97335 0.980 0.000 0.020
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.4504 0.59292 0.000 0.804 0.196
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.3192 0.62326 0.000 0.888 0.112
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.98065 1.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0424 0.97830 0.992 0.000 0.008
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.6168 0.63897 0.000 0.412 0.588
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.98065 1.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.3038 0.62368 0.000 0.896 0.104
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.6260 0.55009 0.000 0.448 0.552
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.2584 0.53219 0.008 0.928 0.064
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.2356 0.94809 0.928 0.000 0.072
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0592 0.58955 0.000 0.988 0.012
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.1411 0.60982 0.000 0.964 0.036
#> B3527517-E339-46AE-8437-65303C309015 2 0.6848 0.07871 0.016 0.568 0.416
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0892 0.60405 0.000 0.980 0.020
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 3 0.6309 0.37126 0.000 0.496 0.504
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.5619 0.53913 0.012 0.744 0.244
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.5397 0.48564 0.000 0.720 0.280
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.98065 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 3 0.6295 0.45545 0.000 0.472 0.528
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.3482 0.62062 0.000 0.872 0.128
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.5551 0.62604 0.016 0.224 0.760
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.6286 0.51716 0.000 0.464 0.536
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.2448 0.94595 0.924 0.000 0.076
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.6483 0.18921 0.008 0.600 0.392
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.5678 0.42181 0.000 0.684 0.316
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.6225 0.03517 0.000 0.568 0.432
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0424 0.59262 0.000 0.992 0.008
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.98065 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0592 0.58955 0.000 0.988 0.012
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.2356 0.62261 0.000 0.928 0.072
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.98065 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.2584 0.53219 0.008 0.928 0.064
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0237 0.97939 0.996 0.000 0.004
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0892 0.60405 0.000 0.980 0.020
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.98065 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.6111 0.18238 0.000 0.604 0.396
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.98065 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.98065 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0892 0.60405 0.000 0.980 0.020
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.4235 0.60332 0.000 0.824 0.176
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.98065 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.6111 0.18725 0.000 0.604 0.396
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0592 0.58955 0.000 0.988 0.012
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.5060 0.17115 0.000 0.584 0.412 0.004
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0927 0.61689 0.000 0.976 0.016 0.008
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0336 0.94128 0.992 0.000 0.000 0.008
#> 3182DEA1-4239-4613-925A-7E6503766AD6 3 0.5495 0.53820 0.000 0.348 0.624 0.028
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.5846 -0.03937 0.000 0.516 0.452 0.032
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.5846 -0.03937 0.000 0.516 0.452 0.032
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.3004 0.51420 0.000 0.048 0.892 0.060
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.1302 0.91872 0.956 0.000 0.000 0.044
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.94423 1.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.3205 0.50139 0.000 0.024 0.872 0.104
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 4 0.6545 1.00000 0.216 0.000 0.152 0.632
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.3757 0.47456 0.000 0.020 0.828 0.152
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 4 0.6545 1.00000 0.216 0.000 0.152 0.632
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.1389 0.91643 0.952 0.000 0.000 0.048
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0188 0.94295 0.996 0.000 0.000 0.004
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 3 0.4978 0.50115 0.000 0.384 0.612 0.004
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.1174 0.61789 0.000 0.968 0.020 0.012
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.5776 -0.06790 0.000 0.504 0.468 0.028
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.5781 -0.16934 0.000 0.492 0.480 0.028
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.3539 0.58976 0.000 0.820 0.176 0.004
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.4959 0.56098 0.000 0.752 0.196 0.052
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.94423 1.000 0.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.1557 0.58942 0.000 0.944 0.000 0.056
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.2149 0.87397 0.912 0.000 0.000 0.088
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.5070 0.12755 0.000 0.580 0.416 0.004
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.3071 0.50812 0.000 0.044 0.888 0.068
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.3123 0.78933 0.844 0.000 0.000 0.156
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 3 0.5143 0.37437 0.000 0.456 0.540 0.004
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.2216 0.87777 0.908 0.000 0.000 0.092
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 3 0.6758 0.34346 0.000 0.240 0.604 0.156
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.94423 1.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.7155 0.06330 0.000 0.352 0.504 0.144
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.5619 0.44678 0.688 0.000 0.064 0.248
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.94423 1.000 0.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.3355 0.58983 0.000 0.836 0.160 0.004
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.7352 0.28573 0.000 0.496 0.328 0.176
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.4019 0.56973 0.000 0.792 0.196 0.012
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.5600 0.18521 0.040 0.008 0.688 0.264
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.5088 0.09721 0.000 0.572 0.424 0.004
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.2081 0.88538 0.916 0.000 0.000 0.084
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.5356 0.61485 0.000 0.200 0.728 0.072
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.94423 1.000 0.000 0.000 0.000
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#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.1389 0.91643 0.952 0.000 0.000 0.048
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.94423 1.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.4359 0.56529 0.000 0.816 0.084 0.100
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 3 0.4872 0.53600 0.000 0.356 0.640 0.004
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.5776 -0.06790 0.000 0.504 0.468 0.028
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 3 0.6500 0.25600 0.000 0.328 0.580 0.092
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 4 0.6545 1.00000 0.216 0.000 0.152 0.632
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 3 0.5697 0.60705 0.000 0.280 0.664 0.056
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.2216 0.87777 0.908 0.000 0.000 0.092
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.94423 1.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.5088 0.09721 0.000 0.572 0.424 0.004
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.2843 0.57776 0.000 0.892 0.020 0.088
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 3 0.5016 0.48230 0.000 0.396 0.600 0.004
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.94423 1.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.4877 0.37989 0.000 0.664 0.328 0.008
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 3 0.5495 0.53820 0.000 0.348 0.624 0.028
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.3942 0.64619 0.764 0.000 0.000 0.236
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.4677 0.41934 0.000 0.680 0.316 0.004
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.3306 0.60062 0.000 0.840 0.156 0.004
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.94423 1.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.2149 0.87397 0.912 0.000 0.000 0.088
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.5031 0.61834 0.000 0.212 0.740 0.048
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0188 0.94284 0.996 0.000 0.000 0.004
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.4012 0.58054 0.000 0.800 0.184 0.016
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.5890 0.61361 0.000 0.268 0.660 0.072
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.4798 0.45071 0.000 0.768 0.052 0.180
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.2589 0.86588 0.884 0.000 0.000 0.116
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0657 0.61151 0.000 0.984 0.004 0.012
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.1890 0.62599 0.000 0.936 0.056 0.008
#> B3527517-E339-46AE-8437-65303C309015 3 0.7301 0.03105 0.000 0.356 0.484 0.160
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.1722 0.62249 0.000 0.944 0.048 0.008
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 3 0.5090 0.56709 0.000 0.324 0.660 0.016
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.7186 0.27832 0.000 0.476 0.384 0.140
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.5050 0.10551 0.000 0.588 0.408 0.004
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.94423 1.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 3 0.5697 0.60705 0.000 0.280 0.664 0.056
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.4959 0.56098 0.000 0.752 0.196 0.052
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.3071 0.50812 0.000 0.044 0.888 0.068
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.5312 0.61310 0.000 0.268 0.692 0.040
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.2216 0.87777 0.908 0.000 0.000 0.092
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.6780 0.03616 0.000 0.416 0.488 0.096
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.5781 -0.16934 0.000 0.492 0.480 0.028
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 3 0.4964 0.50844 0.000 0.380 0.616 0.004
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.1174 0.61789 0.000 0.968 0.020 0.012
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.94423 1.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0469 0.60961 0.000 0.988 0.000 0.012
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.2589 0.61782 0.000 0.884 0.116 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.1474 0.91230 0.948 0.000 0.000 0.052
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.4798 0.45071 0.000 0.768 0.052 0.180
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0188 0.94284 0.996 0.000 0.000 0.004
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.1722 0.62249 0.000 0.944 0.048 0.008
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.1118 0.92400 0.964 0.000 0.000 0.036
#> CE91F591-6072-4D29-9495-C78961635969 3 0.5155 0.34320 0.000 0.468 0.528 0.004
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.94423 1.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.94423 1.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.1722 0.62249 0.000 0.944 0.048 0.008
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.5619 0.48589 0.000 0.676 0.268 0.056
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.94423 1.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 3 0.5112 0.41962 0.000 0.436 0.560 0.004
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0657 0.61151 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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.3305 0.4154 0.000 0.776 0.000 0.224 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 4 0.3707 0.6553 0.000 0.284 0.000 0.716 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.1270 0.8666 0.948 0.000 0.000 0.000 0.052
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.1967 0.5768 0.000 0.932 0.012 0.036 0.020
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.4880 0.4254 0.000 0.692 0.040 0.256 0.012
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.4880 0.4254 0.000 0.692 0.040 0.256 0.012
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.5519 0.7313 0.000 0.292 0.624 0.076 0.008
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.1908 0.8408 0.908 0.000 0.000 0.000 0.092
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.8909 1.000 0.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.3990 0.7440 0.000 0.244 0.740 0.012 0.004
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 5 0.5368 1.0000 0.072 0.000 0.332 0.000 0.596
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.2891 0.7190 0.000 0.176 0.824 0.000 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 5 0.5368 1.0000 0.072 0.000 0.332 0.000 0.596
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.1502 0.8636 0.940 0.000 0.004 0.000 0.056
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0162 0.8897 0.996 0.000 0.000 0.000 0.004
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0794 0.5830 0.000 0.972 0.000 0.028 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.3990 0.6494 0.000 0.308 0.000 0.688 0.004
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.4927 0.4344 0.000 0.692 0.052 0.248 0.008
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.3864 0.5044 0.000 0.784 0.008 0.188 0.020
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.4294 -0.3351 0.000 0.532 0.000 0.468 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 4 0.4617 0.4243 0.000 0.436 0.012 0.552 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.8909 1.000 0.000 0.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 4 0.3074 0.6448 0.000 0.196 0.000 0.804 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.1851 0.8397 0.912 0.000 0.000 0.000 0.088
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.3870 0.3757 0.000 0.732 0.004 0.260 0.004
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.5386 0.7443 0.000 0.276 0.644 0.072 0.008
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.3109 0.7281 0.800 0.000 0.000 0.000 0.200
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.2020 0.5588 0.000 0.900 0.000 0.100 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.3861 0.6542 0.712 0.000 0.000 0.004 0.284
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.6555 0.1138 0.000 0.500 0.176 0.316 0.008
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.8909 1.000 0.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.5840 0.1351 0.000 0.476 0.056 0.452 0.016
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.5417 0.4543 0.648 0.000 0.116 0.000 0.236
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.8909 1.000 0.000 0.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 4 0.4283 0.4414 0.000 0.456 0.000 0.544 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.5954 0.2834 0.000 0.248 0.136 0.608 0.008
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 4 0.4300 0.3973 0.000 0.476 0.000 0.524 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.3022 0.3834 0.020 0.064 0.880 0.000 0.036
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.3937 0.3886 0.000 0.736 0.008 0.252 0.004
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.3999 0.5816 0.656 0.000 0.000 0.000 0.344
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.4306 -0.2765 0.000 0.508 0.492 0.000 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.8909 1.000 0.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 4 0.4114 0.6029 0.000 0.376 0.000 0.624 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0290 0.5836 0.000 0.992 0.000 0.008 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 4 0.4837 0.2515 0.000 0.424 0.016 0.556 0.004
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.4610 0.5234 0.000 0.388 0.016 0.596 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0703 0.5838 0.000 0.976 0.000 0.024 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.4390 -0.2232 0.000 0.568 0.004 0.428 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.5889 0.2810 0.000 0.576 0.112 0.308 0.004
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.1270 0.8726 0.948 0.000 0.000 0.000 0.052
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0963 0.5838 0.000 0.964 0.000 0.036 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 4 0.3913 0.6418 0.000 0.324 0.000 0.676 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.8909 1.000 0.000 0.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.8909 1.000 0.000 0.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.1967 0.5768 0.000 0.932 0.012 0.036 0.020
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 4 0.4413 0.4897 0.000 0.232 0.044 0.724 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0162 0.8897 0.996 0.000 0.000 0.000 0.004
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.5435 0.2087 0.000 0.576 0.072 0.352 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 4 0.3508 0.6581 0.000 0.252 0.000 0.748 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.4632 -0.1622 0.000 0.540 0.012 0.448 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.4637 -0.1617 0.000 0.536 0.012 0.452 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.4927 0.4344 0.000 0.692 0.052 0.248 0.008
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.3966 0.1601 0.000 0.664 0.000 0.336 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 4 0.6162 0.0882 0.000 0.360 0.112 0.520 0.008
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 4 0.4302 0.3801 0.000 0.480 0.000 0.520 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 4 0.3661 0.6569 0.000 0.276 0.000 0.724 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 2 0.3937 0.3694 0.000 0.736 0.252 0.004 0.008
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.2852 0.5043 0.000 0.828 0.000 0.172 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.8909 1.000 0.000 0.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.1043 0.5814 0.000 0.960 0.000 0.040 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0794 0.8803 0.972 0.000 0.000 0.000 0.028
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.3177 0.7441 0.792 0.000 0.000 0.000 0.208
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.4306 -0.2765 0.000 0.508 0.492 0.000 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 4 0.3506 0.4675 0.000 0.084 0.028 0.852 0.036
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.4637 -0.1617 0.000 0.536 0.012 0.452 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.8909 1.000 0.000 0.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0162 0.5832 0.000 0.996 0.000 0.004 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.2723 0.6270 0.000 0.124 0.864 0.000 0.012
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0290 0.5836 0.000 0.992 0.000 0.008 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.4226 0.7226 0.000 0.176 0.764 0.060 0.000
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.4300 -0.3117 0.000 0.524 0.000 0.476 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.4152 0.5599 0.692 0.000 0.012 0.000 0.296
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.4306 -0.2765 0.000 0.508 0.492 0.000 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.3419 0.5117 0.000 0.804 0.016 0.180 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.3999 0.5816 0.656 0.000 0.000 0.000 0.344
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 4 0.4327 0.6139 0.000 0.360 0.000 0.632 0.008
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.4309 0.2806 0.000 0.676 0.308 0.016 0.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.4403 0.2861 0.000 0.648 0.004 0.340 0.008
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.4639 0.1840 0.000 0.632 0.344 0.024 0.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.4901 0.3601 0.000 0.672 0.268 0.060 0.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0.4306 -0.2765 0.000 0.508 0.492 0.000 0.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.8909 1.000 0.000 0.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 4 0.4392 0.5854 0.000 0.380 0.000 0.612 0.008
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0162 0.8897 0.996 0.000 0.000 0.000 0.004
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#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0703 0.5854 0.000 0.976 0.000 0.024 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 4 0.3990 0.6494 0.000 0.308 0.000 0.688 0.004
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.8909 1.000 0.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 4 0.3508 0.6581 0.000 0.252 0.000 0.748 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 4 0.4287 0.4802 0.000 0.460 0.000 0.540 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.1270 0.8674 0.948 0.000 0.000 0.000 0.052
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 4 0.2710 0.5075 0.000 0.032 0.016 0.896 0.056
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0162 0.8897 0.996 0.000 0.000 0.000 0.004
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 4 0.3999 0.6284 0.000 0.344 0.000 0.656 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.1671 0.8529 0.924 0.000 0.000 0.000 0.076
#> CE91F591-6072-4D29-9495-C78961635969 2 0.2179 0.5510 0.000 0.888 0.000 0.112 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.8909 1.000 0.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.8909 1.000 0.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 4 0.3999 0.6284 0.000 0.344 0.000 0.656 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.4632 -0.1622 0.000 0.540 0.012 0.448 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.8909 1.000 0.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.1732 0.5713 0.000 0.920 0.000 0.080 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 4 0.3534 0.6580 0.000 0.256 0.000 0.744 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.3337 0.4265 0.000 0.736 0.004 0.260 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 4 0.2964 0.6312 0.000 0.204 0.000 0.792 0.000 0.004
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.3328 0.5852 0.816 0.000 0.000 0.000 0.064 0.120
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.2174 0.6115 0.000 0.896 0.008 0.008 0.000 0.088
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.5450 0.4249 0.000 0.620 0.048 0.264 0.000 0.068
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.5450 0.4249 0.000 0.620 0.048 0.264 0.000 0.068
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.3956 0.4675 0.000 0.112 0.792 0.024 0.000 0.072
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.4406 0.4761 0.696 0.000 0.000 0.000 0.080 0.224
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.7613 1.000 0.000 0.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.3897 0.5068 0.000 0.112 0.800 0.000 0.040 0.048
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 5 0.0790 1.0000 0.000 0.000 0.032 0.000 0.968 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.2554 0.4743 0.000 0.044 0.892 0.000 0.040 0.024
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 5 0.0790 1.0000 0.000 0.000 0.032 0.000 0.968 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.3490 0.6156 0.784 0.000 0.000 0.000 0.040 0.176
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0405 0.7593 0.988 0.000 0.000 0.000 0.004 0.008
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0937 0.6325 0.000 0.960 0.000 0.040 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.3509 0.6250 0.000 0.240 0.000 0.744 0.000 0.016
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.5379 0.4451 0.000 0.636 0.060 0.248 0.000 0.056
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.4200 0.5192 0.000 0.744 0.004 0.164 0.000 0.088
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 4 0.3862 0.3746 0.000 0.476 0.000 0.524 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 4 0.4624 0.4991 0.000 0.340 0.032 0.616 0.000 0.012
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.1910 0.6939 0.892 0.000 0.000 0.000 0.000 0.108
#> 7A813F60-A41E-4552-990E-F22287654C1D 4 0.2146 0.6187 0.000 0.116 0.000 0.880 0.000 0.004
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.3123 0.6687 0.836 0.000 0.000 0.000 0.088 0.076
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.3991 0.3708 0.000 0.680 0.012 0.300 0.000 0.008
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.3730 0.4810 0.000 0.112 0.808 0.024 0.000 0.056
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.4809 0.4239 0.668 0.000 0.000 0.000 0.192 0.140
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.2340 0.5891 0.000 0.852 0.000 0.148 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.3864 -0.7398 0.520 0.000 0.000 0.000 0.000 0.480
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.7064 0.1241 0.000 0.424 0.244 0.272 0.016 0.044
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0146 0.7618 0.996 0.000 0.000 0.000 0.000 0.004
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.7122 0.0929 0.000 0.404 0.128 0.372 0.024 0.072
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.6628 0.1781 0.528 0.004 0.072 0.000 0.220 0.176
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0146 0.7618 0.996 0.000 0.000 0.000 0.000 0.004
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 4 0.4015 0.4532 0.000 0.396 0.004 0.596 0.000 0.004
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.6678 0.3141 0.000 0.192 0.196 0.540 0.016 0.056
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 4 0.4056 0.4109 0.000 0.416 0.004 0.576 0.000 0.004
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.3950 0.1805 0.000 0.004 0.708 0.000 0.264 0.024
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.4041 0.3849 0.000 0.684 0.016 0.292 0.000 0.008
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 6 0.3843 0.9313 0.452 0.000 0.000 0.000 0.000 0.548
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.3789 0.5837 0.000 0.416 0.584 0.000 0.000 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0146 0.7618 0.996 0.000 0.000 0.000 0.000 0.004
#> 3CE43921-47D5-4394-B9E1-242607775D61 4 0.3565 0.5995 0.000 0.304 0.000 0.692 0.000 0.004
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0547 0.6308 0.000 0.980 0.000 0.020 0.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 4 0.5603 0.3420 0.000 0.308 0.076 0.584 0.012 0.020
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.4521 0.5236 0.000 0.312 0.032 0.644 0.000 0.012
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0865 0.6323 0.000 0.964 0.000 0.036 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 4 0.4129 0.3158 0.000 0.496 0.004 0.496 0.000 0.004
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.6193 0.1375 0.000 0.492 0.164 0.316 0.000 0.028
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.3403 0.5615 0.768 0.000 0.000 0.000 0.020 0.212
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.1075 0.6332 0.000 0.952 0.000 0.048 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 4 0.3265 0.6237 0.000 0.248 0.000 0.748 0.000 0.004
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.1007 0.7477 0.956 0.000 0.000 0.000 0.000 0.044
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0146 0.7618 0.996 0.000 0.000 0.000 0.000 0.004
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.2174 0.6115 0.000 0.896 0.008 0.008 0.000 0.088
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 4 0.4554 0.4937 0.000 0.124 0.144 0.724 0.004 0.004
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.2362 0.6727 0.860 0.000 0.000 0.000 0.004 0.136
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.6227 0.0934 0.000 0.468 0.176 0.336 0.004 0.016
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 4 0.2703 0.6304 0.000 0.172 0.000 0.824 0.000 0.004
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 4 0.4832 0.3268 0.000 0.440 0.032 0.516 0.000 0.012
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 4 0.4966 0.3259 0.000 0.432 0.036 0.516 0.000 0.016
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.5379 0.4451 0.000 0.636 0.060 0.248 0.000 0.056
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.3727 0.0887 0.000 0.612 0.000 0.388 0.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 4 0.7077 0.1652 0.000 0.280 0.184 0.456 0.016 0.064
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 4 0.4274 0.3987 0.000 0.424 0.008 0.560 0.000 0.008
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 4 0.2902 0.6318 0.000 0.196 0.000 0.800 0.000 0.004
#> CF629C65-585D-476D-B081-3E6E0575FAE3 2 0.4213 0.3422 0.000 0.708 0.240 0.004 0.000 0.048
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.2912 0.5233 0.000 0.784 0.000 0.216 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.1075 0.7443 0.952 0.000 0.000 0.000 0.000 0.048
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.1204 0.6302 0.000 0.944 0.000 0.056 0.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.2491 0.6294 0.836 0.000 0.000 0.000 0.000 0.164
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.3634 -0.2756 0.644 0.000 0.000 0.000 0.000 0.356
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.3797 0.5784 0.000 0.420 0.580 0.000 0.000 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 4 0.5289 0.3330 0.000 0.020 0.088 0.688 0.024 0.180
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 4 0.4966 0.3259 0.000 0.432 0.036 0.516 0.000 0.016
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0790 0.7482 0.968 0.000 0.000 0.000 0.000 0.032
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0458 0.6300 0.000 0.984 0.000 0.016 0.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.2866 0.4071 0.000 0.024 0.864 0.000 0.092 0.020
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0547 0.6308 0.000 0.980 0.000 0.020 0.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.1871 0.4349 0.000 0.016 0.928 0.024 0.000 0.032
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 4 0.3996 0.3142 0.000 0.484 0.000 0.512 0.000 0.004
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.5404 0.2331 0.548 0.000 0.000 0.000 0.312 0.140
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.3797 0.5784 0.000 0.420 0.580 0.000 0.000 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.3921 0.5063 0.000 0.736 0.036 0.224 0.000 0.004
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 6 0.3843 0.9313 0.452 0.000 0.000 0.000 0.000 0.548
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 4 0.3993 0.5949 0.000 0.300 0.000 0.676 0.000 0.024
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.4368 -0.0290 0.000 0.592 0.384 0.008 0.000 0.016
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.4555 0.3329 0.000 0.616 0.004 0.340 0.000 0.040
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.4921 -0.2338 0.000 0.520 0.432 0.024 0.000 0.024
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.4976 0.1067 0.000 0.592 0.340 0.056 0.000 0.012
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.3782 0.5872 0.000 0.412 0.588 0.000 0.000 0.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0146 0.7618 0.996 0.000 0.000 0.000 0.000 0.004
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 4 0.4078 0.5736 0.000 0.320 0.000 0.656 0.000 0.024
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.2362 0.6727 0.860 0.000 0.000 0.000 0.004 0.136
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.7613 1.000 0.000 0.000 0.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.3774 0.5923 0.000 0.408 0.592 0.000 0.000 0.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.3586 0.6259 0.000 0.216 0.756 0.000 0.028 0.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.4809 0.4239 0.668 0.000 0.000 0.000 0.192 0.140
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.2306 0.6106 0.000 0.888 0.092 0.016 0.000 0.004
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.7613 1.000 0.000 0.000 0.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 4 0.5539 0.4496 0.000 0.088 0.116 0.700 0.024 0.072
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.5379 0.4451 0.000 0.636 0.060 0.248 0.000 0.056
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0363 0.7576 0.988 0.000 0.000 0.000 0.000 0.012
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.3695 0.1200 0.000 0.624 0.000 0.376 0.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.4836 0.4174 0.664 0.000 0.000 0.000 0.196 0.140
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.2174 0.6115 0.000 0.896 0.008 0.008 0.000 0.088
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 4 0.4056 0.4109 0.000 0.416 0.004 0.576 0.000 0.004
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.7613 1.000 0.000 0.000 0.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 4 0.5539 0.4496 0.000 0.088 0.116 0.700 0.024 0.072
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.5379 0.4451 0.000 0.636 0.060 0.248 0.000 0.056
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.3817 0.5536 0.000 0.432 0.568 0.000 0.000 0.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.2178 0.6751 0.868 0.000 0.000 0.000 0.000 0.132
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0363 0.7576 0.988 0.000 0.000 0.000 0.000 0.012
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.2320 0.6725 0.864 0.000 0.000 0.000 0.004 0.132
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.4682 0.5053 0.000 0.692 0.068 0.224 0.000 0.016
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.3737 0.6071 0.000 0.392 0.608 0.000 0.000 0.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 4 0.6340 0.0289 0.000 0.388 0.188 0.404 0.004 0.016
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.4345 0.1469 0.000 0.604 0.012 0.372 0.000 0.012
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.2100 0.6140 0.000 0.884 0.000 0.112 0.000 0.004
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.3797 0.5784 0.000 0.420 0.580 0.000 0.000 0.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 4 0.0806 0.5647 0.000 0.020 0.000 0.972 0.008 0.000
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.2540 0.4696 0.000 0.044 0.892 0.000 0.044 0.020
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.5379 0.4451 0.000 0.636 0.060 0.248 0.000 0.056
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.1765 0.6196 0.000 0.904 0.000 0.096 0.000 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 4 0.0951 0.5632 0.000 0.020 0.000 0.968 0.008 0.004
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0865 0.6323 0.000 0.964 0.000 0.036 0.000 0.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 4 0.4832 0.3268 0.000 0.440 0.032 0.516 0.000 0.012
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#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.4275 0.5963 0.000 0.388 0.592 0.016 0.000 0.004
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.2260 0.6623 0.860 0.000 0.000 0.000 0.000 0.140
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 4 0.4280 0.3891 0.000 0.428 0.008 0.556 0.000 0.008
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.4315 0.3786 0.000 0.716 0.224 0.012 0.000 0.048
#> CAE8097F-A139-4C6E-9E30-35080475FF34 4 0.3829 0.4373 0.000 0.004 0.036 0.804 0.032 0.124
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 6 0.4168 0.8684 0.400 0.000 0.000 0.000 0.016 0.584
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 4 0.2772 0.6304 0.000 0.180 0.000 0.816 0.000 0.004
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 4 0.3936 0.6014 0.000 0.288 0.000 0.688 0.000 0.024
#> B3527517-E339-46AE-8437-65303C309015 4 0.7114 -0.0506 0.000 0.368 0.164 0.392 0.024 0.052
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 4 0.3383 0.6162 0.000 0.268 0.000 0.728 0.000 0.004
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.4294 0.5283 0.000 0.760 0.152 0.048 0.000 0.040
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.7322 0.2219 0.000 0.268 0.124 0.464 0.024 0.120
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.3288 0.4302 0.000 0.724 0.000 0.276 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0146 0.7618 0.996 0.000 0.000 0.000 0.000 0.004
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.3275 0.5161 0.000 0.816 0.144 0.004 0.000 0.036
#> B4E02660-562F-4EAC-8472-CBBD8A577688 4 0.4624 0.4991 0.000 0.340 0.032 0.616 0.000 0.012
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.3730 0.4810 0.000 0.112 0.808 0.024 0.000 0.056
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.4921 -0.2373 0.000 0.516 0.436 0.028 0.000 0.020
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.3864 -0.7300 0.520 0.000 0.000 0.000 0.000 0.480
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.6698 0.2054 0.000 0.464 0.152 0.324 0.008 0.052
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.4200 0.5192 0.000 0.744 0.004 0.164 0.000 0.088
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0937 0.6344 0.000 0.960 0.000 0.040 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 4 0.3509 0.6250 0.000 0.240 0.000 0.744 0.000 0.016
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.7613 1.000 0.000 0.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 4 0.2703 0.6304 0.000 0.172 0.000 0.824 0.000 0.004
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 4 0.3765 0.4980 0.000 0.404 0.000 0.596 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.1934 0.7216 0.916 0.000 0.000 0.000 0.044 0.040
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 4 0.3829 0.4373 0.000 0.004 0.036 0.804 0.032 0.124
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.2320 0.6725 0.864 0.000 0.000 0.000 0.004 0.132
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 4 0.3383 0.6162 0.000 0.268 0.000 0.728 0.000 0.004
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.4121 0.5201 0.720 0.000 0.000 0.000 0.060 0.220
#> CE91F591-6072-4D29-9495-C78961635969 2 0.2454 0.5793 0.000 0.840 0.000 0.160 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.7613 1.000 0.000 0.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0146 0.7618 0.996 0.000 0.000 0.000 0.000 0.004
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 4 0.3383 0.6162 0.000 0.268 0.000 0.728 0.000 0.004
#> BAB786B9-6C20-425D-9886-63A0A092B59B 4 0.4832 0.3268 0.000 0.440 0.032 0.516 0.000 0.012
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0146 0.7618 0.996 0.000 0.000 0.000 0.000 0.004
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.1814 0.6195 0.000 0.900 0.000 0.100 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 4 0.2738 0.6305 0.000 0.176 0.000 0.820 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["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 17288 rows and 266 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 1.000 1.000 1.000 0.4343 0.566 0.566
#> 3 3 0.696 0.909 0.893 0.4265 0.776 0.605
#> 4 4 0.684 0.652 0.804 0.1373 0.922 0.789
#> 5 5 0.620 0.495 0.676 0.0816 0.862 0.598
#> 6 6 0.655 0.543 0.696 0.0508 0.891 0.587
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0 1 0 1
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0 1 0 1
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#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0 1 1 0
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0 1 1 0
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0 1 0 1
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0 1 1 0
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0 1 0 1
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0 1 1 0
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0 1 0 1
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0 1 0 1
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0 1 0 1
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0 1 1 0
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0 1 0 1
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0 1 0 1
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0 1 0 1
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0 1 0 1
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0 1 0 1
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0 1 0 1
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0 1 1 0
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0 1 1 0
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0 1 0 1
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0 1 0 1
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0 1 0 1
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0 1 0 1
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0 1 1 0
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0 1 0 1
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0 1 1 0
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0 1 1 0
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0 1 0 1
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0 1 0 1
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0 1 0 1
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0 1 1 0
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0 1 0 1
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0 1 0 1
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0 1 1 0
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0 1 0 1
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0 1 0 1
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0 1 1 0
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0 1 1 0
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0 1 0 1
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0 1 1 0
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0 1 0 1
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0 1 0 1
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0 1 0 1
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0 1 1 0
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0 1 0 1
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0 1 0 1
#> B3527517-E339-46AE-8437-65303C309015 2 0 1 0 1
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0 1 0 1
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0 1 0 1
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0 1 0 1
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0 1 0 1
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0 1 1 0
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0 1 0 1
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0 1 0 1
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0 1 0 1
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0 1 0 1
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0 1 1 0
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0 1 0 1
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0 1 0 1
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0 1 0 1
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0 1 0 1
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0 1 1 0
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0 1 0 1
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0 1 0 1
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0 1 1 0
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0 1 0 1
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0 1 1 0
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0 1 0 1
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0 1 1 0
#> CE91F591-6072-4D29-9495-C78961635969 2 0 1 0 1
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0 1 1 0
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0 1 1 0
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0 1 0 1
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0 1 0 1
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0 1 1 0
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0 1 0 1
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0 1 0 1
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.4555 0.966 0.000 0.800 0.200
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.4555 0.966 0.000 0.800 0.200
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0747 0.941 0.984 0.016 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.4605 0.962 0.000 0.796 0.204
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.5327 0.575 0.000 0.272 0.728
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.4654 0.696 0.000 0.208 0.792
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0237 0.922 0.000 0.004 0.996
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.2356 0.939 0.928 0.072 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.941 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0237 0.922 0.000 0.004 0.996
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.5481 0.894 0.816 0.108 0.076
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0237 0.922 0.000 0.004 0.996
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.3349 0.935 0.888 0.108 0.004
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0592 0.941 0.988 0.012 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.941 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.4555 0.966 0.000 0.800 0.200
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.4555 0.966 0.000 0.800 0.200
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0237 0.922 0.000 0.004 0.996
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.4555 0.966 0.000 0.800 0.200
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.4555 0.966 0.000 0.800 0.200
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.4555 0.966 0.000 0.800 0.200
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.4555 0.918 0.800 0.200 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.4555 0.966 0.000 0.800 0.200
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.4575 0.922 0.812 0.184 0.004
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.4605 0.962 0.000 0.796 0.204
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.0237 0.922 0.000 0.004 0.996
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.2356 0.939 0.928 0.072 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.4555 0.966 0.000 0.800 0.200
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.3551 0.930 0.868 0.132 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.5988 0.738 0.000 0.632 0.368
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.941 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.0237 0.922 0.000 0.004 0.996
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.2301 0.939 0.936 0.060 0.004
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.941 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.4555 0.966 0.000 0.800 0.200
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.6168 0.654 0.000 0.588 0.412
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.4605 0.962 0.000 0.796 0.204
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.0000 0.918 0.000 0.000 1.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.5058 0.916 0.000 0.756 0.244
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.4555 0.918 0.800 0.200 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0237 0.922 0.000 0.004 0.996
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.941 1.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.4555 0.966 0.000 0.800 0.200
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.4555 0.966 0.000 0.800 0.200
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.5882 0.770 0.000 0.652 0.348
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.3038 0.832 0.000 0.104 0.896
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.4555 0.966 0.000 0.800 0.200
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.4555 0.966 0.000 0.800 0.200
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.4555 0.966 0.000 0.800 0.200
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.4629 0.921 0.808 0.188 0.004
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.4555 0.966 0.000 0.800 0.200
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.4555 0.966 0.000 0.800 0.200
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.941 1.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.941 1.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.1411 0.898 0.000 0.036 0.964
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.6008 0.732 0.000 0.628 0.372
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.4399 0.922 0.812 0.188 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.6008 0.731 0.000 0.628 0.372
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.4555 0.966 0.000 0.800 0.200
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.4555 0.966 0.000 0.800 0.200
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.4555 0.966 0.000 0.800 0.200
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.3752 0.782 0.000 0.144 0.856
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.4555 0.966 0.000 0.800 0.200
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 3 0.2261 0.867 0.000 0.068 0.932
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.4555 0.966 0.000 0.800 0.200
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.4555 0.966 0.000 0.800 0.200
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.0237 0.922 0.000 0.004 0.996
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.4555 0.966 0.000 0.800 0.200
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.941 1.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.4555 0.966 0.000 0.800 0.200
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.4504 0.919 0.804 0.196 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.3686 0.929 0.860 0.140 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.0237 0.922 0.000 0.004 0.996
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.0424 0.919 0.000 0.008 0.992
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.4555 0.966 0.000 0.800 0.200
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.941 1.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.4555 0.966 0.000 0.800 0.200
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.0000 0.918 0.000 0.000 1.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.4555 0.966 0.000 0.800 0.200
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.0237 0.922 0.000 0.004 0.996
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.4555 0.966 0.000 0.800 0.200
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.3918 0.931 0.856 0.140 0.004
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.0237 0.922 0.000 0.004 0.996
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.4555 0.966 0.000 0.800 0.200
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.4555 0.918 0.800 0.200 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.5178 0.905 0.000 0.744 0.256
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.3686 0.787 0.000 0.140 0.860
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.5733 0.794 0.000 0.676 0.324
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.0237 0.922 0.000 0.004 0.996
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.0237 0.922 0.000 0.004 0.996
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.0237 0.922 0.000 0.004 0.996
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.941 1.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.4555 0.966 0.000 0.800 0.200
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.4555 0.918 0.800 0.200 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.941 1.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.0237 0.922 0.000 0.004 0.996
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.0237 0.922 0.000 0.004 0.996
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.2301 0.939 0.936 0.060 0.004
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.4654 0.958 0.000 0.792 0.208
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.941 1.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 3 0.0237 0.922 0.000 0.004 0.996
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.0237 0.922 0.000 0.004 0.996
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.941 1.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.4555 0.966 0.000 0.800 0.200
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.2590 0.939 0.924 0.072 0.004
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.0237 0.922 0.000 0.004 0.996
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.4702 0.954 0.000 0.788 0.212
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.941 1.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 3 0.0237 0.922 0.000 0.004 0.996
#> E769E41D-5949-42C5-9594-E563C05ACE52 3 0.5397 0.557 0.000 0.280 0.720
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.0237 0.922 0.000 0.004 0.996
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.4399 0.922 0.812 0.188 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.941 1.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.4399 0.922 0.812 0.188 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.0237 0.922 0.000 0.004 0.996
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.0237 0.922 0.000 0.004 0.996
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.6008 0.731 0.000 0.628 0.372
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.4555 0.966 0.000 0.800 0.200
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.4555 0.966 0.000 0.800 0.200
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.0237 0.922 0.000 0.004 0.996
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.4555 0.966 0.000 0.800 0.200
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.0237 0.922 0.000 0.004 0.996
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 3 0.5327 0.575 0.000 0.272 0.728
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.4555 0.966 0.000 0.800 0.200
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.4555 0.966 0.000 0.800 0.200
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.4555 0.966 0.000 0.800 0.200
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.4555 0.966 0.000 0.800 0.200
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.0237 0.922 0.000 0.004 0.996
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.3116 0.933 0.892 0.108 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 3 0.5760 0.420 0.000 0.328 0.672
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.0237 0.922 0.000 0.004 0.996
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.941 1.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.6026 0.725 0.000 0.624 0.376
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.4555 0.966 0.000 0.800 0.200
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.3918 0.931 0.856 0.140 0.004
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.4555 0.966 0.000 0.800 0.200
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.4555 0.966 0.000 0.800 0.200
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.941 1.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.4555 0.966 0.000 0.800 0.200
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.4629 0.921 0.808 0.188 0.004
#> E0961A30-A62C-4235-9CF0-A1776827A996 3 0.3686 0.777 0.000 0.140 0.860
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.4605 0.962 0.000 0.796 0.204
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 3 0.2537 0.854 0.000 0.080 0.920
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.6026 0.725 0.000 0.624 0.376
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.941 1.000 0.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.4399 0.922 0.812 0.188 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.4555 0.966 0.000 0.800 0.200
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.4555 0.966 0.000 0.800 0.200
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.0237 0.922 0.000 0.004 0.996
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.4555 0.966 0.000 0.800 0.200
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.0237 0.922 0.000 0.004 0.996
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.4399 0.922 0.812 0.188 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.4555 0.966 0.000 0.800 0.200
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0237 0.940 0.996 0.000 0.004
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.941 1.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.4555 0.966 0.000 0.800 0.200
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.4555 0.918 0.800 0.200 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 3 0.5216 0.601 0.000 0.260 0.740
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.4555 0.966 0.000 0.800 0.200
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.4555 0.966 0.000 0.800 0.200
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 3 0.6154 0.123 0.000 0.408 0.592
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.941 1.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.4399 0.922 0.812 0.188 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 3 0.2356 0.866 0.000 0.072 0.928
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.0237 0.922 0.000 0.004 0.996
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.4555 0.918 0.800 0.200 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.941 1.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.941 1.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.4555 0.966 0.000 0.800 0.200
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 3 0.0237 0.922 0.000 0.004 0.996
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.3686 0.929 0.860 0.140 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.6168 0.650 0.000 0.588 0.412
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.4555 0.966 0.000 0.800 0.200
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 3 0.0237 0.922 0.000 0.004 0.996
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.941 1.000 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.941 1.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.4555 0.966 0.000 0.800 0.200
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.4555 0.966 0.000 0.800 0.200
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.0237 0.922 0.000 0.004 0.996
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.4555 0.918 0.800 0.200 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 3 0.5465 0.539 0.000 0.288 0.712
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.941 1.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.4555 0.966 0.000 0.800 0.200
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.3752 0.929 0.856 0.144 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.0237 0.922 0.000 0.004 0.996
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.4555 0.966 0.000 0.800 0.200
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.0237 0.922 0.000 0.004 0.996
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.4702 0.689 0.000 0.212 0.788
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.4555 0.966 0.000 0.800 0.200
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.4555 0.966 0.000 0.800 0.200
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.4399 0.922 0.812 0.188 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.941 1.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.4555 0.966 0.000 0.800 0.200
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.4555 0.918 0.800 0.200 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.6008 0.731 0.000 0.628 0.372
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.4555 0.918 0.800 0.200 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.4555 0.966 0.000 0.800 0.200
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.0237 0.922 0.000 0.004 0.996
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.0237 0.922 0.000 0.004 0.996
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.4346 0.923 0.816 0.184 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.4605 0.962 0.000 0.796 0.204
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.4555 0.966 0.000 0.800 0.200
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.4555 0.966 0.000 0.800 0.200
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.4555 0.966 0.000 0.800 0.200
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0237 0.922 0.000 0.004 0.996
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.5363 0.566 0.000 0.276 0.724
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.4235 0.925 0.824 0.176 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.941 1.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.5988 0.740 0.000 0.632 0.368
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.4555 0.966 0.000 0.800 0.200
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.0237 0.922 0.000 0.004 0.996
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 3 0.3619 0.781 0.000 0.136 0.864
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.3349 0.935 0.888 0.108 0.004
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.4555 0.966 0.000 0.800 0.200
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.3482 0.930 0.872 0.128 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.941 1.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.5363 0.882 0.000 0.724 0.276
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.4555 0.966 0.000 0.800 0.200
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.4555 0.966 0.000 0.800 0.200
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.941 1.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.0424 0.919 0.000 0.008 0.992
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 3 0.6154 0.134 0.000 0.408 0.592
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.2400 0.939 0.932 0.064 0.004
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.4555 0.966 0.000 0.800 0.200
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.4555 0.966 0.000 0.800 0.200
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.941 1.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.4629 0.921 0.808 0.188 0.004
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0237 0.922 0.000 0.004 0.996
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.3619 0.930 0.864 0.136 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.4555 0.966 0.000 0.800 0.200
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.0237 0.922 0.000 0.004 0.996
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.6008 0.731 0.000 0.628 0.372
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.4555 0.918 0.800 0.200 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.4555 0.966 0.000 0.800 0.200
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.4605 0.962 0.000 0.796 0.204
#> B3527517-E339-46AE-8437-65303C309015 3 0.0237 0.922 0.000 0.004 0.996
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.4555 0.966 0.000 0.800 0.200
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 3 0.2796 0.846 0.000 0.092 0.908
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.0237 0.922 0.000 0.004 0.996
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.4555 0.966 0.000 0.800 0.200
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.941 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.4555 0.966 0.000 0.800 0.200
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.4555 0.966 0.000 0.800 0.200
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0237 0.922 0.000 0.004 0.996
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0237 0.922 0.000 0.004 0.996
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.4555 0.918 0.800 0.200 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0237 0.922 0.000 0.004 0.996
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.4555 0.966 0.000 0.800 0.200
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.4555 0.966 0.000 0.800 0.200
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.4555 0.966 0.000 0.800 0.200
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.941 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.4555 0.966 0.000 0.800 0.200
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.4555 0.966 0.000 0.800 0.200
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.941 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.6045 0.675 0.000 0.620 0.380
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.4399 0.922 0.812 0.188 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.4555 0.966 0.000 0.800 0.200
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.2356 0.939 0.928 0.072 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.4555 0.966 0.000 0.800 0.200
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.941 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.941 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.4555 0.966 0.000 0.800 0.200
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.4555 0.966 0.000 0.800 0.200
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.941 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.4555 0.966 0.000 0.800 0.200
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.4555 0.966 0.000 0.800 0.200
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0592 0.7555 0.000 0.984 0.000 0.016
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.1824 0.7522 0.000 0.936 0.004 0.060
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.2053 0.8641 0.924 0.000 0.004 0.072
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.3280 0.6918 0.000 0.860 0.016 0.124
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.7763 -0.2580 0.000 0.432 0.304 0.264
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.7785 -0.2890 0.000 0.348 0.404 0.248
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.6197 0.1270 0.000 0.056 0.544 0.400
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.3790 0.8543 0.820 0.000 0.016 0.164
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0336 0.8624 0.992 0.000 0.008 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.1637 0.8042 0.000 0.060 0.940 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.7594 0.5499 0.480 0.000 0.256 0.264
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.2222 0.7964 0.000 0.060 0.924 0.016
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.6704 0.7326 0.600 0.000 0.136 0.264
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.1938 0.8657 0.936 0.000 0.012 0.052
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0336 0.8624 0.992 0.000 0.008 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0592 0.7555 0.000 0.984 0.000 0.016
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.4978 0.3875 0.000 0.612 0.004 0.384
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.4907 0.6228 0.000 0.060 0.764 0.176
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.5060 0.3272 0.000 0.584 0.004 0.412
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0188 0.7575 0.000 0.996 0.000 0.004
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.1305 0.7570 0.000 0.960 0.004 0.036
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.5467 0.8090 0.612 0.000 0.024 0.364
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#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.5109 0.5867 0.000 0.060 0.744 0.196
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.7877 -0.3978 0.000 0.364 0.356 0.280
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.1902 0.7510 0.000 0.932 0.004 0.064
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.7572 0.000 1.000 0.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.4730 0.8193 0.636 0.000 0.000 0.364
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0336 0.8624 0.992 0.000 0.008 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0188 0.7575 0.000 0.996 0.000 0.004
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.5543 0.8091 0.612 0.000 0.028 0.360
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.6148 0.1851 0.000 0.636 0.084 0.280
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.5543 0.8091 0.612 0.000 0.028 0.360
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.4220 0.6037 0.000 0.748 0.004 0.248
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.1637 0.8042 0.000 0.060 0.940 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.4364 0.7045 0.000 0.056 0.808 0.136
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.4855 0.8223 0.644 0.000 0.004 0.352
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.4222 0.5747 0.000 0.728 0.000 0.272
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0336 0.7581 0.000 0.992 0.000 0.008
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.2714 0.7345 0.000 0.884 0.004 0.112
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0188 0.7569 0.000 0.996 0.000 0.004
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.1970 0.8020 0.000 0.060 0.932 0.008
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.7733 -0.2154 0.000 0.440 0.256 0.304
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.4792 0.8341 0.680 0.000 0.008 0.312
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0336 0.8624 0.992 0.000 0.008 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 4 0.6532 0.4982 0.000 0.368 0.084 0.548
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0592 0.7555 0.000 0.984 0.000 0.016
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.5109 0.5867 0.000 0.060 0.744 0.196
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 3 0.7035 0.2999 0.000 0.184 0.572 0.244
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.4720 0.8320 0.720 0.000 0.016 0.264
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0592 0.7555 0.000 0.984 0.000 0.016
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.4152 0.8431 0.808 0.000 0.032 0.160
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0336 0.8624 0.992 0.000 0.008 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.5186 0.5590 0.000 0.752 0.084 0.164
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.3668 0.6610 0.000 0.808 0.004 0.188
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0336 0.7560 0.000 0.992 0.000 0.008
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0336 0.8625 0.992 0.000 0.008 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 4 0.6229 0.2972 0.000 0.056 0.416 0.528
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.7220 0.0435 0.000 0.544 0.196 0.260
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.4542 0.8402 0.752 0.000 0.020 0.228
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.1637 0.7546 0.000 0.940 0.000 0.060
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0188 0.7575 0.000 0.996 0.000 0.004
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0336 0.8625 0.992 0.000 0.008 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.4730 0.8193 0.636 0.000 0.000 0.364
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.1637 0.8042 0.000 0.060 0.940 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.4540 0.8425 0.772 0.000 0.032 0.196
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.4741 0.4884 0.000 0.668 0.004 0.328
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.2739 0.7880 0.000 0.060 0.904 0.036
#> CAE8097F-A139-4C6E-9E30-35080475FF34 4 0.6520 0.5033 0.000 0.364 0.084 0.552
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.5386 0.8090 0.612 0.000 0.020 0.368
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.1637 0.7532 0.000 0.940 0.000 0.060
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.5016 0.3715 0.000 0.600 0.004 0.396
#> B3527517-E339-46AE-8437-65303C309015 3 0.6276 -0.1461 0.000 0.056 0.480 0.464
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.1637 0.7532 0.000 0.940 0.000 0.060
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 3 0.7063 -0.0610 0.000 0.360 0.508 0.132
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.6243 0.1945 0.000 0.060 0.548 0.392
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0188 0.7575 0.000 0.996 0.000 0.004
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0336 0.8624 0.992 0.000 0.008 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0592 0.7555 0.000 0.984 0.000 0.016
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.3494 0.6778 0.000 0.824 0.004 0.172
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.4514 0.6981 0.000 0.056 0.796 0.148
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.1637 0.8042 0.000 0.060 0.940 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.5543 0.8091 0.612 0.000 0.028 0.360
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.4874 0.6643 0.000 0.056 0.764 0.180
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.4382 0.5460 0.000 0.704 0.000 0.296
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0469 0.7555 0.000 0.988 0.000 0.012
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.4509 0.5545 0.000 0.708 0.004 0.288
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0188 0.8624 0.996 0.000 0.004 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.4819 0.4626 0.000 0.652 0.004 0.344
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.1557 0.7542 0.000 0.944 0.000 0.056
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0336 0.8624 0.992 0.000 0.008 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 4 0.6407 0.5266 0.000 0.332 0.084 0.584
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.4730 0.8193 0.636 0.000 0.000 0.364
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.1637 0.7532 0.000 0.940 0.000 0.060
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.3790 0.8551 0.820 0.000 0.016 0.164
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.7572 0.000 1.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0188 0.8624 0.996 0.000 0.004 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0336 0.8624 0.992 0.000 0.008 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.1637 0.7532 0.000 0.940 0.000 0.060
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.2053 0.7162 0.000 0.924 0.004 0.072
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0188 0.8624 0.996 0.000 0.004 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0188 0.7575 0.000 0.996 0.000 0.004
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.1902 0.7510 0.000 0.932 0.004 0.064
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0290 0.71124 0.000 0.992 0.000 0.000 0.008
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.4458 0.66031 0.000 0.760 0.000 0.120 0.120
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.4714 -0.50252 0.608 0.000 0.004 0.016 0.372
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.4792 0.42464 0.000 0.724 0.004 0.196 0.076
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 4 0.6972 0.50011 0.000 0.256 0.160 0.536 0.048
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 4 0.7093 0.45811 0.000 0.220 0.216 0.520 0.044
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.6678 0.18424 0.000 0.012 0.292 0.504 0.192
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.4488 0.24085 0.736 0.000 0.004 0.048 0.212
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 5 0.4448 0.97106 0.480 0.000 0.000 0.004 0.516
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.1314 0.82522 0.000 0.016 0.960 0.012 0.012
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.7193 0.23813 0.500 0.000 0.308 0.084 0.108
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0833 0.82898 0.000 0.016 0.976 0.004 0.004
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.6982 0.29085 0.572 0.000 0.212 0.084 0.132
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.5005 -0.66709 0.580 0.000 0.004 0.028 0.388
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 5 0.4448 0.97106 0.480 0.000 0.000 0.004 0.516
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0609 0.70727 0.000 0.980 0.000 0.000 0.020
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.6396 0.25787 0.000 0.324 0.000 0.488 0.188
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.5974 0.33533 0.000 0.036 0.528 0.392 0.044
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.6007 0.40974 0.000 0.284 0.000 0.564 0.152
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.2408 0.70511 0.000 0.892 0.000 0.016 0.092
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.4216 0.67424 0.000 0.780 0.000 0.100 0.120
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.2103 0.57216 0.920 0.000 0.004 0.056 0.020
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.5127 0.59511 0.000 0.692 0.000 0.184 0.124
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.1082 0.57561 0.964 0.000 0.000 0.028 0.008
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.5966 0.24061 0.000 0.400 0.004 0.500 0.096
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.5572 0.62426 0.000 0.012 0.668 0.204 0.116
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.4773 0.22877 0.716 0.000 0.004 0.064 0.216
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0290 0.71294 0.000 0.992 0.000 0.000 0.008
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.5137 0.14931 0.676 0.000 0.004 0.076 0.244
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.6701 0.14160 0.000 0.556 0.028 0.224 0.192
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 5 0.5161 0.93570 0.484 0.000 0.008 0.024 0.484
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 4 0.6488 0.27764 0.000 0.012 0.252 0.548 0.188
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.5339 0.23310 0.652 0.000 0.004 0.084 0.260
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 5 0.4448 0.97106 0.480 0.000 0.000 0.004 0.516
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.5702 0.38257 0.000 0.576 0.000 0.320 0.104
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.6841 0.54469 0.000 0.156 0.044 0.552 0.248
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.4989 0.16155 0.000 0.552 0.000 0.416 0.032
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.2901 0.78422 0.000 0.020 0.888 0.044 0.048
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.6183 0.25146 0.000 0.636 0.068 0.224 0.072
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.2032 0.57341 0.924 0.000 0.004 0.052 0.020
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0510 0.83169 0.000 0.016 0.984 0.000 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 5 0.4302 0.96980 0.480 0.000 0.000 0.000 0.520
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.4121 0.67668 0.000 0.788 0.000 0.100 0.112
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0510 0.70888 0.000 0.984 0.000 0.000 0.016
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 4 0.7323 0.26993 0.000 0.320 0.028 0.400 0.252
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.5204 0.53329 0.000 0.052 0.116 0.744 0.088
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0510 0.70888 0.000 0.984 0.000 0.000 0.016
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.1106 0.71400 0.000 0.964 0.000 0.012 0.024
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.6120 0.15754 0.000 0.560 0.000 0.256 0.184
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.1310 0.58038 0.956 0.000 0.000 0.020 0.024
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0290 0.71124 0.000 0.992 0.000 0.000 0.008
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.4221 0.67232 0.000 0.780 0.000 0.108 0.112
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 5 0.4448 0.97106 0.480 0.000 0.000 0.004 0.516
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 5 0.4448 0.97106 0.480 0.000 0.000 0.004 0.516
#> C1113977-B160-45EE-B061-750F9EA3F33F 4 0.8014 0.32925 0.000 0.252 0.276 0.380 0.092
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 4 0.6589 0.53949 0.000 0.164 0.028 0.568 0.240
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0162 0.58238 0.996 0.000 0.000 0.000 0.004
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.6603 0.16628 0.000 0.576 0.032 0.224 0.168
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 4 0.5904 0.25889 0.000 0.360 0.000 0.528 0.112
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.6016 0.43539 0.000 0.580 0.000 0.236 0.184
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.6231 0.36011 0.000 0.544 0.000 0.252 0.204
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 4 0.7184 0.15572 0.000 0.156 0.360 0.440 0.044
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.4022 0.68041 0.000 0.796 0.000 0.100 0.104
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 4 0.7083 0.37517 0.000 0.040 0.204 0.512 0.244
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.5752 0.14748 0.000 0.500 0.000 0.412 0.088
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.4411 0.66323 0.000 0.764 0.000 0.116 0.120
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.4876 0.70515 0.000 0.124 0.764 0.068 0.044
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0290 0.71124 0.000 0.992 0.000 0.000 0.008
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.5233 -0.93288 0.484 0.000 0.008 0.028 0.480
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0703 0.70551 0.000 0.976 0.000 0.000 0.024
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.1377 0.57922 0.956 0.000 0.004 0.020 0.020
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.5059 0.19554 0.688 0.000 0.004 0.076 0.232
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.0510 0.83169 0.000 0.016 0.984 0.000 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 4 0.6101 0.45386 0.000 0.016 0.152 0.616 0.216
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.6622 0.01307 0.000 0.440 0.000 0.328 0.232
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#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 4 0.6015 0.19102 0.000 0.360 0.000 0.516 0.124
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.3429 0.78557 0.000 0.036 0.860 0.068 0.036
#> CAE8097F-A139-4C6E-9E30-35080475FF34 4 0.6269 0.56266 0.000 0.140 0.028 0.612 0.220
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.2032 0.57341 0.924 0.000 0.004 0.052 0.020
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.4270 0.66999 0.000 0.776 0.000 0.112 0.112
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 4 0.5858 0.39221 0.000 0.308 0.000 0.568 0.124
#> B3527517-E339-46AE-8437-65303C309015 4 0.6400 0.30420 0.000 0.012 0.240 0.564 0.184
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.4270 0.66999 0.000 0.776 0.000 0.112 0.112
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.7787 -0.28042 0.000 0.376 0.328 0.228 0.068
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.7278 0.12166 0.000 0.028 0.324 0.412 0.236
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.2124 0.70577 0.000 0.900 0.000 0.004 0.096
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 5 0.4302 0.96980 0.480 0.000 0.000 0.000 0.520
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.1331 0.69222 0.000 0.952 0.000 0.008 0.040
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.5740 0.50265 0.000 0.612 0.000 0.244 0.144
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.5524 0.63565 0.000 0.012 0.676 0.192 0.120
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0510 0.83169 0.000 0.016 0.984 0.000 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.2032 0.57341 0.924 0.000 0.004 0.052 0.020
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.6380 0.39384 0.000 0.012 0.520 0.336 0.132
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.5884 0.00403 0.000 0.480 0.000 0.420 0.100
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0609 0.71041 0.000 0.980 0.000 0.000 0.020
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.6290 0.23942 0.000 0.500 0.000 0.332 0.168
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.5161 -0.93917 0.484 0.000 0.008 0.024 0.484
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 4 0.6244 0.24793 0.000 0.336 0.000 0.504 0.160
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.4221 0.67232 0.000 0.780 0.000 0.108 0.112
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 5 0.4448 0.97106 0.480 0.000 0.000 0.004 0.516
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 4 0.5680 0.56495 0.004 0.112 0.012 0.668 0.204
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.58287 1.000 0.000 0.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.4270 0.66999 0.000 0.776 0.000 0.112 0.112
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.4538 0.19991 0.724 0.000 0.004 0.044 0.228
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0162 0.71279 0.000 0.996 0.000 0.000 0.004
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 5 0.5161 0.93570 0.484 0.000 0.008 0.024 0.484
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 5 0.4448 0.97106 0.480 0.000 0.000 0.004 0.516
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.4270 0.66999 0.000 0.776 0.000 0.112 0.112
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.2595 0.65089 0.000 0.888 0.000 0.080 0.032
#> 735D1DE3-D781-4F89-A395-09974057BBB7 5 0.4559 0.96492 0.480 0.000 0.000 0.008 0.512
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0162 0.71279 0.000 0.996 0.000 0.000 0.004
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.4503 0.65783 0.000 0.756 0.000 0.124 0.120
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0976 0.68095 0.000 0.968 0.000 0.008 0.008 0.016
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.5765 0.60618 0.000 0.636 0.000 0.148 0.064 0.152
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.3827 0.62058 0.800 0.000 0.000 0.036 0.040 0.124
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.5872 0.04410 0.000 0.576 0.016 0.304 0.060 0.044
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 4 0.6520 0.46243 0.000 0.116 0.132 0.580 0.164 0.008
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 4 0.6678 0.43344 0.000 0.104 0.168 0.556 0.164 0.008
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 5 0.5756 0.40570 0.000 0.000 0.188 0.256 0.548 0.008
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.5904 -0.10204 0.540 0.000 0.000 0.024 0.140 0.296
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.76498 1.000 0.000 0.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.1732 0.79578 0.000 0.000 0.920 0.004 0.072 0.004
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 6 0.8252 0.27416 0.196 0.000 0.244 0.044 0.184 0.332
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0551 0.82059 0.000 0.000 0.984 0.004 0.008 0.004
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 6 0.8256 0.28441 0.224 0.000 0.212 0.044 0.184 0.336
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.4110 0.61508 0.772 0.000 0.000 0.052 0.028 0.148
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.76498 1.000 0.000 0.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.1528 0.66827 0.000 0.944 0.000 0.012 0.016 0.028
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.6362 0.30440 0.000 0.240 0.000 0.552 0.116 0.092
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 4 0.5983 0.05115 0.000 0.004 0.376 0.460 0.152 0.008
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.5445 0.39791 0.000 0.176 0.000 0.660 0.116 0.048
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.4453 0.66313 0.000 0.764 0.000 0.064 0.064 0.108
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.5555 0.62591 0.000 0.660 0.000 0.124 0.064 0.152
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 6 0.4698 0.83565 0.296 0.000 0.000 0.028 0.028 0.648
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.6294 0.53100 0.000 0.568 0.000 0.204 0.076 0.152
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 6 0.4802 0.80048 0.316 0.000 0.000 0.008 0.056 0.620
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.4525 0.50540 0.000 0.228 0.008 0.708 0.044 0.012
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.4735 0.52434 0.000 0.000 0.616 0.048 0.328 0.008
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.6054 -0.07667 0.528 0.000 0.000 0.024 0.172 0.276
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0665 0.69373 0.000 0.980 0.000 0.004 0.008 0.008
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.5728 -0.06550 0.548 0.000 0.000 0.056 0.060 0.336
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.6267 -0.19791 0.000 0.496 0.028 0.056 0.372 0.048
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.2039 0.75990 0.916 0.000 0.000 0.052 0.020 0.012
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 5 0.5609 0.41333 0.000 0.000 0.168 0.276 0.552 0.004
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.6468 -0.06668 0.444 0.000 0.000 0.028 0.228 0.300
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.76498 1.000 0.000 0.000 0.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 4 0.6156 0.05732 0.000 0.404 0.000 0.452 0.064 0.080
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 5 0.6329 0.55079 0.000 0.072 0.040 0.364 0.496 0.028
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 4 0.3986 0.28556 0.000 0.464 0.000 0.532 0.004 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.3908 0.71397 0.000 0.000 0.800 0.028 0.092 0.080
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.6324 0.01047 0.000 0.564 0.044 0.284 0.052 0.056
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 6 0.4835 0.83383 0.296 0.000 0.000 0.032 0.032 0.640
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0146 0.82408 0.000 0.000 0.996 0.004 0.000 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0291 0.76491 0.992 0.000 0.000 0.004 0.004 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.5592 0.62157 0.000 0.656 0.000 0.128 0.064 0.152
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.1353 0.67308 0.000 0.952 0.000 0.012 0.012 0.024
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 5 0.6585 0.44491 0.000 0.196 0.016 0.256 0.504 0.028
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.4698 -0.00198 0.000 0.008 0.064 0.660 0.268 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.1078 0.67901 0.000 0.964 0.000 0.012 0.008 0.016
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.1219 0.69067 0.000 0.948 0.000 0.048 0.000 0.004
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.5886 -0.17721 0.000 0.508 0.000 0.088 0.364 0.040
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 6 0.4035 0.84102 0.296 0.000 0.000 0.004 0.020 0.680
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0767 0.68408 0.000 0.976 0.000 0.008 0.004 0.012
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.5592 0.62157 0.000 0.656 0.000 0.128 0.064 0.152
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0291 0.76455 0.992 0.000 0.000 0.004 0.004 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.76498 1.000 0.000 0.000 0.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 4 0.7625 0.23517 0.000 0.184 0.176 0.476 0.116 0.048
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 5 0.5865 0.50687 0.000 0.080 0.024 0.432 0.456 0.008
#> 1F553062-26FD-4A7F-B7FB-81184604F423 6 0.3499 0.84384 0.320 0.000 0.000 0.000 0.000 0.680
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.6110 -0.14083 0.000 0.528 0.028 0.056 0.348 0.040
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 4 0.4608 0.49417 0.000 0.228 0.000 0.700 0.040 0.032
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.6950 0.43920 0.000 0.496 0.000 0.168 0.184 0.152
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.6856 0.35415 0.000 0.496 0.000 0.184 0.212 0.108
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 4 0.6278 0.13678 0.000 0.020 0.348 0.472 0.152 0.008
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.5120 0.64138 0.000 0.704 0.000 0.120 0.056 0.120
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 5 0.6420 0.54667 0.000 0.024 0.112 0.316 0.516 0.032
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 4 0.5862 0.31000 0.000 0.336 0.000 0.536 0.052 0.076
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.5698 0.61360 0.000 0.644 0.000 0.140 0.064 0.152
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.6829 0.47529 0.000 0.192 0.572 0.116 0.064 0.056
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.69109 0.000 1.000 0.000 0.000 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.2123 0.75894 0.912 0.000 0.000 0.052 0.024 0.012
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.1503 0.67125 0.000 0.944 0.000 0.008 0.016 0.032
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 6 0.4550 0.83771 0.296 0.000 0.000 0.020 0.028 0.656
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.5786 -0.15855 0.524 0.000 0.000 0.060 0.056 0.360
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.0260 0.82329 0.000 0.000 0.992 0.008 0.000 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 5 0.5202 0.52967 0.000 0.000 0.080 0.400 0.516 0.004
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 5 0.6738 0.22371 0.000 0.348 0.000 0.168 0.420 0.064
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.2085 0.75934 0.912 0.000 0.000 0.056 0.024 0.008
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.1672 0.66562 0.000 0.940 0.004 0.012 0.016 0.028
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.0767 0.81711 0.000 0.000 0.976 0.008 0.012 0.004
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.1167 0.67757 0.000 0.960 0.000 0.012 0.008 0.020
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.3357 0.63328 0.000 0.000 0.764 0.004 0.224 0.008
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.5592 0.62157 0.000 0.656 0.000 0.128 0.064 0.152
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 6 0.6571 0.43110 0.336 0.000 0.000 0.044 0.184 0.436
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.0260 0.82329 0.000 0.000 0.992 0.008 0.000 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.69109 0.000 1.000 0.000 0.000 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 6 0.4965 0.83111 0.296 0.000 0.000 0.036 0.036 0.632
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 4 0.5674 0.22738 0.000 0.112 0.020 0.652 0.188 0.028
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.4627 0.57164 0.000 0.036 0.688 0.252 0.008 0.016
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 4 0.5508 0.52451 0.000 0.208 0.028 0.648 0.108 0.008
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.4777 0.65453 0.000 0.012 0.724 0.184 0.040 0.040
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.0146 0.82408 0.000 0.000 0.996 0.004 0.000 0.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.0146 0.82408 0.000 0.000 0.996 0.004 0.000 0.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.1844 0.76273 0.924 0.000 0.000 0.048 0.024 0.004
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 4 0.4860 0.44588 0.000 0.184 0.000 0.704 0.080 0.032
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 6 0.3528 0.84487 0.296 0.000 0.000 0.000 0.004 0.700
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.1168 0.76431 0.956 0.000 0.000 0.028 0.016 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.0146 0.82408 0.000 0.000 0.996 0.004 0.000 0.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.0291 0.82157 0.000 0.000 0.992 0.004 0.000 0.004
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.6361 -0.04580 0.476 0.000 0.000 0.028 0.212 0.284
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.2396 0.63966 0.000 0.904 0.012 0.012 0.020 0.052
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.2265 0.75711 0.904 0.000 0.000 0.056 0.028 0.012
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 5 0.5467 0.52985 0.000 0.008 0.096 0.408 0.488 0.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.5774 0.38252 0.000 0.004 0.540 0.304 0.144 0.008
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.2186 0.75780 0.908 0.000 0.000 0.056 0.024 0.012
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0653 0.69395 0.000 0.980 0.000 0.004 0.004 0.012
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.6394 -0.08638 0.464 0.000 0.000 0.028 0.212 0.296
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.5256 0.63984 0.000 0.028 0.712 0.152 0.064 0.044
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 4 0.3989 0.52159 0.000 0.208 0.008 0.748 0.032 0.004
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#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 4 0.6172 0.40126 0.000 0.216 0.000 0.580 0.076 0.128
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.5628 0.61886 0.000 0.652 0.000 0.132 0.064 0.152
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.76498 1.000 0.000 0.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 5 0.5338 0.52392 0.000 0.048 0.020 0.432 0.496 0.004
#> 899CB9E0-48D0-413D-8566-BC151F146453 6 0.3499 0.84384 0.320 0.000 0.000 0.000 0.000 0.680
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.5628 0.61886 0.000 0.652 0.000 0.132 0.064 0.152
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.5525 -0.03557 0.580 0.000 0.000 0.020 0.104 0.296
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0881 0.69373 0.000 0.972 0.000 0.008 0.012 0.008
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.2039 0.75990 0.916 0.000 0.000 0.052 0.020 0.012
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.76498 1.000 0.000 0.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.5628 0.61886 0.000 0.652 0.000 0.132 0.064 0.152
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.2201 0.64628 0.000 0.904 0.000 0.036 0.056 0.004
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0146 0.76530 0.996 0.000 0.000 0.004 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0665 0.69373 0.000 0.980 0.000 0.004 0.008 0.008
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.5859 0.59388 0.000 0.624 0.000 0.160 0.064 0.152
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 17288 rows and 266 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 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 0.983 0.993 0.4494 0.553 0.553
#> 3 3 0.947 0.923 0.967 0.4343 0.781 0.609
#> 4 4 0.790 0.755 0.891 0.1176 0.878 0.675
#> 5 5 0.822 0.668 0.842 0.0688 0.917 0.719
#> 6 6 0.756 0.705 0.788 0.0421 0.907 0.646
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.000 0.992 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.000 0.992 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.000 0.994 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.000 0.992 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.000 0.992 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.000 0.992 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.706 0.761 0.192 0.808
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.000 0.994 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.000 0.994 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.000 0.992 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.000 0.994 1.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.000 0.992 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.000 0.994 1.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.000 0.994 1.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.000 0.994 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.000 0.992 0.000 1.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.000 0.992 0.000 1.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.000 0.992 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.000 0.992 0.000 1.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.000 0.992 0.000 1.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.000 0.992 0.000 1.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.000 0.994 1.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.000 0.992 0.000 1.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.000 0.994 1.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.000 0.992 0.000 1.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.000 0.992 0.000 1.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.000 0.994 1.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.000 0.992 0.000 1.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.000 0.994 1.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.000 0.992 0.000 1.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.000 0.994 1.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.000 0.992 0.000 1.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.000 0.994 1.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.000 0.994 1.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.000 0.992 0.000 1.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.921 0.498 0.336 0.664
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.000 0.992 0.000 1.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 1 0.653 0.799 0.832 0.168
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.000 0.992 0.000 1.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.000 0.994 1.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.000 0.992 0.000 1.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.000 0.994 1.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.000 0.992 0.000 1.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.000 0.992 0.000 1.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.000 0.992 0.000 1.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.000 0.992 0.000 1.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.000 0.992 0.000 1.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.000 0.992 0.000 1.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.000 0.992 0.000 1.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.000 0.994 1.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.000 0.992 0.000 1.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.000 0.992 0.000 1.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.000 0.994 1.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.000 0.994 1.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.000 0.992 0.000 1.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.000 0.992 0.000 1.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.000 0.994 1.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.000 0.992 0.000 1.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.000 0.992 0.000 1.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.000 0.992 0.000 1.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.000 0.992 0.000 1.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.000 0.992 0.000 1.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.000 0.992 0.000 1.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.730 0.743 0.204 0.796
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.000 0.992 0.000 1.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.000 0.992 0.000 1.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 1 0.722 0.751 0.800 0.200
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.000 0.992 0.000 1.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.000 0.994 1.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.000 0.992 0.000 1.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.000 0.994 1.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.000 0.994 1.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.000 0.992 0.000 1.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.000 0.992 0.000 1.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.000 0.992 0.000 1.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.000 0.994 1.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.000 0.992 0.000 1.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 1 0.000 0.994 1.000 0.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.000 0.992 0.000 1.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 2 0.000 0.992 0.000 1.000
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.000 0.992 0.000 1.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.000 0.994 1.000 0.000
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.000 0.992 0.000 1.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.000 0.992 0.000 1.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.000 0.994 1.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.000 0.992 0.000 1.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.000 0.992 0.000 1.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.000 0.992 0.000 1.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.000 0.992 0.000 1.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.000 0.992 0.000 1.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0.000 0.992 0.000 1.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.000 0.994 1.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.000 0.992 0.000 1.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.000 0.994 1.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.000 0.994 1.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.000 0.992 0.000 1.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0.000 0.992 0.000 1.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.000 0.994 1.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.000 0.992 0.000 1.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.000 0.994 1.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.000 0.992 0.000 1.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.000 0.992 0.000 1.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.000 0.994 1.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.000 0.992 0.000 1.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.000 0.994 1.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.000 0.992 0.000 1.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.000 0.992 0.000 1.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.000 0.994 1.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 2 0.000 0.992 0.000 1.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.000 0.992 0.000 1.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0.000 0.992 0.000 1.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.000 0.994 1.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.000 0.994 1.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.000 0.994 1.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.000 0.992 0.000 1.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.000 0.992 0.000 1.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.000 0.992 0.000 1.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.000 0.992 0.000 1.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.000 0.992 0.000 1.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.000 0.992 0.000 1.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.000 0.992 0.000 1.000
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 2 0.000 0.992 0.000 1.000
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.000 0.992 0.000 1.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.000 0.992 0.000 1.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.000 0.992 0.000 1.000
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.000 0.992 0.000 1.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.000 0.992 0.000 1.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0.000 0.992 0.000 1.000
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.000 0.994 1.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.000 0.992 0.000 1.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 2 0.000 0.992 0.000 1.000
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.000 0.994 1.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.000 0.992 0.000 1.000
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.000 0.992 0.000 1.000
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.000 0.994 1.000 0.000
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.000 0.992 0.000 1.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.000 0.992 0.000 1.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.000 0.994 1.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.000 0.992 0.000 1.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.000 0.994 1.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.000 0.992 0.000 1.000
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.000 0.992 0.000 1.000
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.900 0.541 0.316 0.684
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.000 0.992 0.000 1.000
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.000 0.994 1.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.000 0.994 1.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.000 0.992 0.000 1.000
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.000 0.992 0.000 1.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0.000 0.992 0.000 1.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.000 0.992 0.000 1.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 1 0.000 0.994 1.000 0.000
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.000 0.994 1.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.000 0.992 0.000 1.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.000 0.994 1.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.000 0.994 1.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.000 0.992 0.000 1.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.000 0.994 1.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.000 0.992 0.000 1.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.000 0.992 0.000 1.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.000 0.992 0.000 1.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.000 0.992 0.000 1.000
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.000 0.994 1.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.000 0.994 1.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.000 0.992 0.000 1.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0.000 0.992 0.000 1.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.000 0.994 1.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.000 0.994 1.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.000 0.994 1.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.000 0.992 0.000 1.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 2 0.943 0.442 0.360 0.640
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.000 0.994 1.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.000 0.992 0.000 1.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.000 0.992 0.000 1.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0.000 0.992 0.000 1.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.000 0.994 1.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.000 0.994 1.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.000 0.992 0.000 1.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.000 0.992 0.000 1.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.000 0.992 0.000 1.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.000 0.994 1.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.000 0.992 0.000 1.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.000 0.994 1.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.000 0.992 0.000 1.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.000 0.994 1.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.000 0.992 0.000 1.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.000 0.992 0.000 1.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.000 0.992 0.000 1.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.000 0.992 0.000 1.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.000 0.992 0.000 1.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.000 0.992 0.000 1.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.000 0.994 1.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.000 0.994 1.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.000 0.992 0.000 1.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.000 0.994 1.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.000 0.992 0.000 1.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.000 0.994 1.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.000 0.992 0.000 1.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.000 0.992 0.000 1.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.000 0.992 0.000 1.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.000 0.994 1.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.000 0.992 0.000 1.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.000 0.992 0.000 1.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.000 0.992 0.000 1.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.000 0.992 0.000 1.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.000 0.992 0.000 1.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.000 0.992 0.000 1.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.000 0.994 1.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.000 0.994 1.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.000 0.992 0.000 1.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.000 0.992 0.000 1.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.000 0.992 0.000 1.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.000 0.992 0.000 1.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.000 0.994 1.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.000 0.992 0.000 1.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.000 0.994 1.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.000 0.994 1.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.000 0.992 0.000 1.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.000 0.992 0.000 1.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.000 0.992 0.000 1.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.000 0.994 1.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.000 0.992 0.000 1.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.000 0.992 0.000 1.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.000 0.994 1.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.000 0.992 0.000 1.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.000 0.992 0.000 1.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.000 0.994 1.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.000 0.994 1.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.000 0.992 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.000 0.994 1.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.000 0.992 0.000 1.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.000 0.992 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.000 0.992 0.000 1.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.000 0.994 1.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.000 0.992 0.000 1.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.000 0.992 0.000 1.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.000 0.992 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.000 0.992 0.000 1.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.000 0.992 0.000 1.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.000 0.992 0.000 1.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.000 0.992 0.000 1.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.000 0.994 1.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.000 0.992 0.000 1.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.000 0.992 0.000 1.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.000 0.992 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.000 0.992 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.000 0.994 1.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.000 0.992 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.000 0.992 0.000 1.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.000 0.992 0.000 1.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.000 0.992 0.000 1.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.000 0.994 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.000 0.992 0.000 1.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.000 0.992 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.000 0.994 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 1 0.680 0.781 0.820 0.180
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.000 0.994 1.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.000 0.992 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.000 0.994 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.000 0.992 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.000 0.994 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.000 0.994 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.000 0.992 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.000 0.992 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.000 0.994 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.000 0.992 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.000 0.992 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.9816 0.000 1.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.9816 0.000 1.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9954 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0000 0.9816 0.000 1.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.6111 0.4433 0.000 0.396 0.604
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.4235 0.7690 0.000 0.176 0.824
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0000 0.8876 0.000 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.9954 1.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9954 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0000 0.8876 0.000 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0000 0.9954 1.000 0.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0000 0.8876 0.000 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0000 0.9954 1.000 0.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9954 1.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9954 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.9816 0.000 1.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.9816 0.000 1.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0592 0.8838 0.000 0.012 0.988
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0000 0.9816 0.000 1.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.9816 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.9816 0.000 1.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.9954 1.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.9816 0.000 1.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.9954 1.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0000 0.9816 0.000 1.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.0000 0.8876 0.000 0.000 1.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.9954 1.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.9816 0.000 1.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.9954 1.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.1289 0.9529 0.000 0.968 0.032
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.9954 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.0000 0.8876 0.000 0.000 1.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 0.9954 1.000 0.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.9954 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.9816 0.000 1.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.5598 0.7435 0.148 0.800 0.052
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0000 0.9816 0.000 1.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.0000 0.8876 0.000 0.000 1.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.0000 0.9816 0.000 1.000 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.9954 1.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0000 0.8876 0.000 0.000 1.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9954 1.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.9816 0.000 1.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.9816 0.000 1.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.1753 0.9375 0.000 0.952 0.048
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.4654 0.7213 0.000 0.792 0.208
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#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.9816 0.000 1.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9954 1.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.9954 1.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0000 0.8876 0.000 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.9954 1.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.9816 0.000 1.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.0000 0.8876 0.000 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.1860 0.9335 0.000 0.948 0.052
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.9954 1.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.9816 0.000 1.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0000 0.9816 0.000 1.000 0.000
#> B3527517-E339-46AE-8437-65303C309015 3 0.0000 0.8876 0.000 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.9816 0.000 1.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0892 0.9650 0.000 0.980 0.020
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.1964 0.8596 0.000 0.056 0.944
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.9816 0.000 1.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9954 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0000 0.9816 0.000 1.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.9816 0.000 1.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0000 0.8876 0.000 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.8876 0.000 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.9954 1.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0000 0.8876 0.000 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.9816 0.000 1.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.9816 0.000 1.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.9816 0.000 1.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9954 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.9816 0.000 1.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.9816 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9954 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 1 0.7159 0.5086 0.660 0.288 0.052
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.9954 1.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.9816 0.000 1.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.9954 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.9816 0.000 1.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9954 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9954 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.9816 0.000 1.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.9816 0.000 1.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9954 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.9816 0.000 1.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.9816 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.2868 0.7290 0 0.864 0.000 0.136
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0188 0.7631 0 0.996 0.000 0.004
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 4 0.5550 0.0157 0 0.428 0.020 0.552
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.7775 -0.1179 0 0.380 0.240 0.380
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.4730 -0.0178 0 0.000 0.364 0.636
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.1302 0.9107 0 0.000 0.956 0.044
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0000 0.9278 0 0.000 1.000 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.7644 0 1.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.4967 0.1614 0 0.452 0.000 0.548
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.3610 0.8196 0 0.000 0.800 0.200
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.4761 0.4010 0 0.372 0.000 0.628
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.7644 0 1.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.2704 0.7343 0 0.876 0.000 0.124
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.4790 0.3955 0 0.620 0.000 0.380
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.4643 0.4726 0 0.656 0.000 0.344
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.3486 0.8305 0 0.000 0.812 0.188
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 1.0000 1 0.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.4877 -0.1268 0 0.592 0.000 0.408
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 1.0000 1 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 4 0.3219 0.4423 0 0.000 0.164 0.836
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 1.0000 1 0.000 0.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.4134 0.6153 0 0.740 0.000 0.260
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.3688 0.6707 0 0.208 0.000 0.792
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.3764 0.6683 0 0.784 0.000 0.216
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.0000 0.9278 0 0.000 1.000 0.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.0188 0.7615 0 0.996 0.004 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0000 0.9278 0 0.000 1.000 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.2647 0.7360 0 0.880 0.000 0.120
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 4 0.3837 0.6596 0 0.224 0.000 0.776
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.0000 0.6494 0 0.000 0.000 1.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.7644 0 1.000 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.7644 0 1.000 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.4907 -0.1599 0 0.580 0.000 0.420
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 1.0000 1 0.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.7644 0 1.000 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.2760 0.7327 0 0.872 0.000 0.128
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 1.0000 1 0.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.5597 0.1594 0 0.516 0.464 0.020
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 4 0.3486 0.6745 0 0.188 0.000 0.812
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 1.0000 1 0.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.4877 -0.1268 0 0.592 0.000 0.408
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.4877 0.3409 0 0.592 0.000 0.408
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 4 0.4977 0.3202 0 0.460 0.000 0.540
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 4 0.4916 0.4097 0 0.424 0.000 0.576
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.4086 0.7980 0 0.008 0.776 0.216
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.2760 0.7327 0 0.872 0.000 0.128
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 4 0.4711 0.6540 0 0.236 0.024 0.740
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.4008 0.6368 0 0.756 0.000 0.244
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.2868 0.7290 0 0.864 0.000 0.136
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.2589 0.8170 0 0.116 0.884 0.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 1.0000 1 0.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.7644 0 1.000 0.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 1.0000 1 0.000 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 1.0000 1 0.000 0.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.0000 0.9278 0 0.000 1.000 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 4 0.0000 0.6494 0 0.000 0.000 1.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 4 0.4804 0.4727 0 0.384 0.000 0.616
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.0000 0.9278 0 0.000 1.000 0.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.2281 0.8650 0 0.000 0.904 0.096
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.2760 0.7332 0 0.872 0.000 0.128
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.0000 0.9278 0 0.000 1.000 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.7644 0 1.000 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 4 0.4164 0.6069 0 0.264 0.000 0.736
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.0000 0.9278 0 0.000 1.000 0.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.4955 0.3141 0 0.556 0.000 0.444
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.0000 0.9278 0 0.000 1.000 0.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.0000 0.9278 0 0.000 1.000 0.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.0000 0.9278 0 0.000 1.000 0.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.4916 0.2990 0 0.576 0.000 0.424
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.0000 0.9278 0 0.000 1.000 0.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.0000 0.9278 0 0.000 1.000 0.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 1.0000 1 0.000 0.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 1.0000 1 0.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 4 0.3157 0.6849 0 0.144 0.004 0.852
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.3400 0.8341 0 0.000 0.820 0.180
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 1.0000 1 0.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.0000 0.9278 0 0.000 1.000 0.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.4804 0.3973 0 0.616 0.000 0.384
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 1.0000 1 0.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 4 0.0336 0.6435 0 0.000 0.008 0.992
#> E769E41D-5949-42C5-9594-E563C05ACE52 4 0.5570 -0.0231 0 0.440 0.020 0.540
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.0000 0.9278 0 0.000 1.000 0.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0000 1.0000 1 0.000 0.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.0188 0.9258 0 0.000 0.996 0.004
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.0000 0.9278 0 0.000 1.000 0.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.4981 -0.2716 0 0.536 0.000 0.464
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.4040 0.6319 0 0.752 0.000 0.248
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.7644 0 1.000 0.000 0.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.0000 0.9278 0 0.000 1.000 0.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 4 0.3569 0.6721 0 0.196 0.000 0.804
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.0000 0.9278 0 0.000 1.000 0.000
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 4 0.5550 0.0157 0 0.428 0.020 0.552
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 4 0.3528 0.6743 0 0.192 0.000 0.808
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.2704 0.7346 0 0.876 0.000 0.124
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.3266 0.8422 0 0.000 0.832 0.168
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 4 0.4188 0.4781 0 0.244 0.004 0.752
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.0000 0.9278 0 0.000 1.000 0.000
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 4 0.2408 0.6823 0 0.104 0.000 0.896
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.4134 0.6153 0 0.740 0.000 0.260
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.7644 0 1.000 0.000 0.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 1.0000 1 0.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0000 1.0000 1 0.000 0.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 4 0.3991 0.6819 0 0.172 0.020 0.808
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 4 0.3837 0.6486 0 0.224 0.000 0.776
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 4 0.7830 0.3136 0 0.324 0.272 0.404
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 4 0.3356 0.6775 0 0.176 0.000 0.824
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.4916 0.2990 0 0.576 0.000 0.424
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.2868 0.7290 0 0.864 0.000 0.136
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.0000 0.9278 0 0.000 1.000 0.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0921 0.7606 0 0.972 0.000 0.028
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.2704 0.8746 0 0.000 0.876 0.124
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.1716 0.7527 0 0.936 0.000 0.064
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.3907 0.6485 0 0.768 0.000 0.232
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0000 1.0000 1 0.000 0.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.7476 0.0401 0 0.460 0.184 0.356
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 4 0.4072 0.6311 0 0.252 0.000 0.748
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.3024 0.5981 0 0.852 0.148 0.000
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 1.0000 1 0.000 0.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 4 0.0707 0.6374 0 0.000 0.020 0.980
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.0000 0.9278 0 0.000 1.000 0.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0000 1.0000 1 0.000 0.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.3873 0.6526 0 0.772 0.000 0.228
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 3 0.3444 0.7310 0 0.184 0.816 0.000
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 4 0.5000 0.3381 0 0.496 0.000 0.504
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.7644 0 1.000 0.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 4 0.2814 0.4908 0 0.000 0.132 0.868
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.2704 0.7349 0 0.876 0.000 0.124
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.3486 0.8284 0 0.000 0.812 0.188
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.7121 0.2132 0 0.540 0.160 0.300
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.4790 0.4062 0 0.620 0.000 0.380
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.0000 0.9278 0 0.000 1.000 0.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.2868 0.7290 0 0.864 0.000 0.136
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.3764 0.8049 0 0.000 0.784 0.216
#> 0F00E267-C748-4A71-8B36-03C410641D88 4 0.6514 0.0931 0 0.408 0.076 0.516
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.3726 0.6682 0 0.788 0.000 0.212
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0000 1.0000 1 0.000 0.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 4 0.4998 0.3542 0 0.488 0.000 0.512
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 1.0000 1 0.000 0.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 4 0.4193 0.6135 0 0.268 0.000 0.732
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.0000 0.9278 0 0.000 1.000 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.1118 0.9089 0 0.000 0.964 0.036
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.3873 0.6578 0 0.772 0.000 0.228
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.3837 0.6570 0 0.776 0.000 0.224
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.7644 0 1.000 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0000 0.9278 0 0.000 1.000 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.5339 0.4299 0 0.624 0.020 0.356
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 1.0000 1 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 4 0.0000 0.6494 0 0.000 0.000 1.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.7644 0 1.000 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.3764 0.8049 0 0.000 0.784 0.216
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.7607 -0.3615 0 0.412 0.200 0.388
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0000 0.7644 0 1.000 0.000 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 1.0000 1 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 4 0.4888 0.4196 0 0.412 0.000 0.588
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 4 0.1388 0.6666 0 0.028 0.012 0.960
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.1888 0.7503 0 0.940 0.016 0.044
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 1.0000 1 0.000 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.2760 0.7332 0 0.872 0.000 0.128
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.7644 0 1.000 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 1.0000 1 0.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0000 0.9278 0 0.000 1.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 1.0000 1 0.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.4888 0.3435 0 0.588 0.000 0.412
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.0000 0.9278 0 0.000 1.000 0.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 4 0.3123 0.6830 0 0.156 0.000 0.844
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.2868 0.7290 0 0.864 0.000 0.136
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.4916 0.2990 0 0.576 0.000 0.424
#> B3527517-E339-46AE-8437-65303C309015 4 0.2760 0.4971 0 0.000 0.128 0.872
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.2868 0.7290 0 0.864 0.000 0.136
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.3942 0.4804 0 0.764 0.236 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.4981 0.2216 0 0.000 0.536 0.464
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0000 0.7644 0 1.000 0.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 4 0.4933 0.3773 0 0.432 0.000 0.568
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.3907 0.8006 0 0.000 0.768 0.232
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.9278 0 0.000 1.000 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 1.0000 1 0.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.3837 0.8069 0 0.000 0.776 0.224
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.4008 0.6368 0 0.756 0.000 0.244
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.4843 0.3653 0 0.604 0.000 0.396
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.4916 0.2990 0 0.576 0.000 0.424
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.2814 0.7309 0 0.868 0.000 0.132
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 1.0000 1 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 4 0.0000 0.6494 0 0.000 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 1.0000 1 0.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.2868 0.7290 0 0.864 0.000 0.136
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 1.0000 1 0.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 1.0000 1 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 1.0000 1 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.2868 0.7290 0 0.864 0.000 0.136
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.4477 0.1652 0 0.688 0.000 0.312
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 1.0000 1 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.7644 0 1.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.3649 0.6758 0 0.796 0.000 0.204
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0162 0.737853 0.000 0.996 0.000 0.004 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.5993 0.408633 0.000 0.576 0.000 0.260 0.164
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.3630 0.517770 0.000 0.780 0.000 0.016 0.204
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 5 0.1498 0.532442 0.000 0.024 0.016 0.008 0.952
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 5 0.1653 0.528640 0.000 0.024 0.028 0.004 0.944
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.5168 0.168174 0.000 0.000 0.040 0.508 0.452
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.2813 0.773681 0.000 0.000 0.832 0.000 0.168
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.1205 0.955780 0.956 0.000 0.040 0.000 0.004
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0000 0.893689 0.000 0.000 1.000 0.000 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0162 0.990146 0.996 0.000 0.000 0.000 0.004
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.737010 0.000 1.000 0.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.6241 -0.094347 0.000 0.164 0.000 0.512 0.324
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 5 0.3366 0.319887 0.000 0.000 0.232 0.000 0.768
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.5329 -0.319441 0.000 0.052 0.000 0.516 0.432
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0693 0.734088 0.000 0.980 0.000 0.008 0.012
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.5792 0.449834 0.000 0.612 0.000 0.224 0.164
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0703 0.987275 0.976 0.000 0.000 0.000 0.024
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.6415 0.075485 0.000 0.428 0.000 0.400 0.172
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0703 0.987275 0.976 0.000 0.000 0.000 0.024
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 5 0.5713 0.416147 0.000 0.084 0.000 0.416 0.500
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.4555 0.562540 0.000 0.000 0.636 0.020 0.344
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0162 0.737853 0.000 0.996 0.000 0.004 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0703 0.987275 0.976 0.000 0.000 0.000 0.024
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.4674 0.081579 0.000 0.568 0.000 0.416 0.016
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#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.0000 0.893689 0.000 0.000 1.000 0.000 0.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.5899 0.432887 0.000 0.592 0.000 0.248 0.160
#> 30346897-EC77-4153-88A2-D14593C8B741 5 0.3210 0.357366 0.000 0.000 0.212 0.000 0.788
#> 0F00E267-C748-4A71-8B36-03C410641D88 5 0.1612 0.531042 0.000 0.024 0.016 0.012 0.948
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.6262 0.305979 0.000 0.520 0.000 0.304 0.176
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0162 0.737853 0.000 0.996 0.000 0.004 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0703 0.987275 0.976 0.000 0.000 0.000 0.024
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0162 0.737853 0.000 0.996 0.000 0.004 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0703 0.987275 0.976 0.000 0.000 0.000 0.024
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 4 0.4161 0.303331 0.000 0.392 0.000 0.608 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0703 0.987275 0.976 0.000 0.000 0.000 0.024
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 4 0.6092 0.228850 0.000 0.256 0.000 0.564 0.180
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.0000 0.893689 0.000 0.000 1.000 0.000 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.0609 0.883246 0.000 0.000 0.980 0.020 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0703 0.987275 0.976 0.000 0.000 0.000 0.024
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 5 0.5870 0.485433 0.000 0.136 0.000 0.284 0.580
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.1952 0.698952 0.000 0.912 0.000 0.004 0.084
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 4 0.6645 0.000908 0.000 0.376 0.000 0.400 0.224
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.737010 0.000 1.000 0.000 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0000 0.893689 0.000 0.000 1.000 0.000 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 5 0.5491 0.511896 0.000 0.060 0.012 0.312 0.616
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0703 0.987275 0.976 0.000 0.000 0.000 0.024
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 4 0.1341 0.479911 0.000 0.000 0.000 0.944 0.056
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.737010 0.000 1.000 0.000 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 5 0.3210 0.357366 0.000 0.000 0.212 0.000 0.788
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.6818 -0.180769 0.000 0.412 0.168 0.404 0.016
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0162 0.990146 0.996 0.000 0.000 0.000 0.004
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.1018 0.717387 0.000 0.968 0.000 0.016 0.016
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0703 0.987275 0.976 0.000 0.000 0.000 0.024
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.1630 0.704029 0.000 0.944 0.004 0.036 0.016
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 4 0.6352 0.048174 0.000 0.380 0.000 0.456 0.164
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.737010 0.000 1.000 0.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 5 0.4211 0.476423 0.000 0.000 0.004 0.360 0.636
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.6787 0.047958 0.000 0.508 0.020 0.184 0.288
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.5840 0.446951 0.000 0.604 0.000 0.232 0.164
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0693 0.734088 0.000 0.980 0.000 0.008 0.012
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0703 0.987275 0.976 0.000 0.000 0.000 0.024
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0000 0.893689 0.000 0.000 1.000 0.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0703 0.987275 0.976 0.000 0.000 0.000 0.024
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 5 0.5080 0.490116 0.000 0.044 0.000 0.368 0.588
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.0798 0.881535 0.000 0.000 0.976 0.008 0.016
#> CAE8097F-A139-4C6E-9E30-35080475FF34 4 0.0693 0.495941 0.000 0.008 0.000 0.980 0.012
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0703 0.987275 0.976 0.000 0.000 0.000 0.024
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.5931 0.427354 0.000 0.588 0.000 0.248 0.164
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 5 0.5403 0.395582 0.000 0.056 0.000 0.456 0.488
#> B3527517-E339-46AE-8437-65303C309015 4 0.4727 0.181977 0.000 0.000 0.016 0.532 0.452
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.5899 0.432887 0.000 0.592 0.000 0.248 0.160
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.4387 0.454827 0.000 0.732 0.232 0.008 0.028
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.4403 0.071958 0.000 0.000 0.384 0.608 0.008
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0579 0.735315 0.000 0.984 0.000 0.008 0.008
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.1018 0.717387 0.000 0.968 0.000 0.016 0.016
#> B4E02660-562F-4EAC-8472-CBBD8A577688 4 0.6347 0.060294 0.000 0.376 0.000 0.460 0.164
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.6235 0.416159 0.000 0.000 0.500 0.156 0.344
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.893689 0.000 0.000 1.000 0.000 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0703 0.987275 0.976 0.000 0.000 0.000 0.024
#> FF00E80A-046D-4233-835E-CDF93403EA43 5 0.5778 -0.324071 0.000 0.000 0.452 0.088 0.460
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 5 0.6531 0.338815 0.000 0.208 0.000 0.336 0.456
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.737010 0.000 1.000 0.000 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 4 0.6647 -0.096697 0.000 0.252 0.000 0.444 0.304
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 5 0.5401 0.396524 0.000 0.056 0.000 0.452 0.492
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.5740 0.455736 0.000 0.612 0.000 0.244 0.144
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 4 0.0794 0.492748 0.000 0.000 0.000 0.972 0.028
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0703 0.987275 0.976 0.000 0.000 0.000 0.024
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.5899 0.432887 0.000 0.592 0.000 0.248 0.160
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0162 0.737853 0.000 0.996 0.000 0.004 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.5931 0.427354 0.000 0.588 0.000 0.248 0.164
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.1608 0.678837 0.000 0.928 0.000 0.072 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.990621 1.000 0.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0162 0.737853 0.000 0.996 0.000 0.004 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.6191 0.337468 0.000 0.536 0.000 0.292 0.172
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0291 0.86068 0.000 0.992 0.000 0.004 0.004 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 4 0.3607 0.62343 0.000 0.348 0.000 0.652 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.3301 0.88553 0.772 0.000 0.000 0.004 0.008 0.216
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.3996 0.66252 0.000 0.784 0.000 0.088 0.112 0.016
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 6 0.3221 0.83708 0.000 0.000 0.000 0.264 0.000 0.736
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 6 0.3221 0.83708 0.000 0.000 0.000 0.264 0.000 0.736
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 5 0.4410 0.07461 0.000 0.000 0.008 0.012 0.508 0.472
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.2378 0.88204 0.848 0.000 0.000 0.000 0.000 0.152
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.3756 0.88513 0.736 0.000 0.000 0.008 0.016 0.240
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.2454 0.75881 0.000 0.000 0.840 0.000 0.000 0.160
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.3105 0.86283 0.844 0.000 0.036 0.000 0.012 0.108
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0000 0.89572 0.000 0.000 1.000 0.000 0.000 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.2402 0.87505 0.868 0.000 0.000 0.000 0.012 0.120
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.3420 0.88674 0.776 0.000 0.000 0.008 0.012 0.204
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.3756 0.88513 0.736 0.000 0.000 0.008 0.016 0.240
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0146 0.86023 0.000 0.996 0.000 0.000 0.004 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.3112 0.56060 0.000 0.068 0.000 0.836 0.096 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 6 0.4187 0.80547 0.000 0.000 0.096 0.168 0.000 0.736
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.4476 0.35915 0.000 0.028 0.000 0.672 0.280 0.020
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.2562 0.66432 0.000 0.828 0.000 0.172 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 4 0.3967 0.61373 0.000 0.356 0.000 0.632 0.012 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0508 0.85192 0.984 0.000 0.000 0.004 0.012 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 4 0.3541 0.65105 0.000 0.232 0.000 0.748 0.020 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0508 0.85192 0.984 0.000 0.000 0.004 0.012 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.3490 0.50144 0.000 0.028 0.000 0.832 0.072 0.068
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.5196 0.16027 0.000 0.000 0.504 0.000 0.092 0.404
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.2378 0.88204 0.848 0.000 0.000 0.000 0.000 0.152
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0547 0.85782 0.000 0.980 0.000 0.020 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.1952 0.86856 0.920 0.000 0.000 0.012 0.016 0.052
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 5 0.3999 0.06985 0.000 0.496 0.000 0.004 0.500 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.3756 0.88513 0.736 0.000 0.000 0.008 0.016 0.240
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 6 0.4183 -0.08040 0.000 0.000 0.000 0.012 0.480 0.508
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.2491 0.88041 0.836 0.000 0.000 0.000 0.000 0.164
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.3756 0.88513 0.736 0.000 0.000 0.008 0.016 0.240
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 4 0.4789 0.43740 0.000 0.104 0.000 0.684 0.008 0.204
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 5 0.2826 0.64631 0.000 0.052 0.000 0.092 0.856 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 4 0.4509 0.56308 0.000 0.344 0.000 0.620 0.020 0.016
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.0806 0.88288 0.000 0.000 0.972 0.000 0.020 0.008
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.5248 0.47180 0.000 0.656 0.000 0.188 0.136 0.020
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0508 0.85192 0.984 0.000 0.000 0.004 0.012 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0000 0.89572 0.000 0.000 1.000 0.000 0.000 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.3756 0.88513 0.736 0.000 0.000 0.008 0.016 0.240
#> 3CE43921-47D5-4394-B9E1-242607775D61 4 0.3737 0.58016 0.000 0.392 0.000 0.608 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0146 0.86023 0.000 0.996 0.000 0.000 0.004 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 5 0.4546 0.58467 0.000 0.104 0.000 0.204 0.692 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.5976 -0.25041 0.000 0.000 0.000 0.436 0.320 0.244
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0146 0.86023 0.000 0.996 0.000 0.000 0.004 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.2762 0.61472 0.000 0.804 0.000 0.196 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 5 0.5387 0.20429 0.000 0.424 0.000 0.112 0.464 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0508 0.85192 0.984 0.000 0.000 0.004 0.012 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0547 0.85720 0.000 0.980 0.000 0.020 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 4 0.3695 0.59998 0.000 0.376 0.000 0.624 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.3756 0.88513 0.736 0.000 0.000 0.008 0.016 0.240
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.3756 0.88513 0.736 0.000 0.000 0.008 0.016 0.240
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.7828 -0.00973 0.000 0.392 0.188 0.188 0.212 0.020
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 5 0.3468 0.63611 0.000 0.004 0.000 0.284 0.712 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0508 0.85192 0.984 0.000 0.000 0.004 0.012 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.3684 0.29826 0.000 0.664 0.000 0.004 0.332 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 4 0.2358 0.53063 0.000 0.012 0.000 0.900 0.040 0.048
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 4 0.5198 0.56436 0.000 0.240 0.000 0.608 0.152 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 4 0.5373 0.50009 0.000 0.216 0.000 0.588 0.196 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 6 0.4143 0.81243 0.000 0.000 0.084 0.180 0.000 0.736
#> B4500785-0FAA-4D4D-8630-43D194BAB004 4 0.3695 0.60097 0.000 0.376 0.000 0.624 0.000 0.000
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#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0146 0.86023 0.000 0.996 0.000 0.000 0.004 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 6 0.4174 0.80849 0.000 0.000 0.092 0.172 0.000 0.736
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 5 0.5476 0.31444 0.000 0.364 0.116 0.004 0.516 0.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.2402 0.87505 0.868 0.000 0.000 0.000 0.012 0.120
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.2191 0.77730 0.000 0.876 0.000 0.000 0.120 0.004
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.2308 0.86946 0.896 0.000 0.000 0.012 0.016 0.076
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.3756 0.88513 0.736 0.000 0.000 0.008 0.016 0.240
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.2631 0.76063 0.000 0.856 0.000 0.012 0.128 0.004
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 4 0.4619 0.62655 0.000 0.244 0.000 0.668 0.088 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0547 0.85782 0.000 0.980 0.000 0.020 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.3756 0.88513 0.736 0.000 0.000 0.008 0.016 0.240
#> 153BF804-6DC8-496B-987A-4021A2512211 4 0.5186 -0.22742 0.000 0.004 0.000 0.544 0.084 0.368
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.6569 0.20308 0.000 0.524 0.012 0.228 0.196 0.040
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.2706 0.87885 0.832 0.000 0.000 0.000 0.008 0.160
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 4 0.3907 0.55454 0.000 0.408 0.000 0.588 0.004 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.2793 0.60986 0.000 0.800 0.000 0.200 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.3756 0.88513 0.736 0.000 0.000 0.008 0.016 0.240
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0508 0.85192 0.984 0.000 0.000 0.004 0.012 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0000 0.89572 0.000 0.000 1.000 0.000 0.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.1887 0.86778 0.924 0.000 0.000 0.012 0.016 0.048
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 4 0.2070 0.51067 0.000 0.012 0.000 0.896 0.000 0.092
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.1007 0.87310 0.000 0.000 0.956 0.000 0.044 0.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 5 0.3360 0.64783 0.000 0.004 0.000 0.264 0.732 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0508 0.85192 0.984 0.000 0.000 0.004 0.012 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 4 0.3634 0.61806 0.000 0.356 0.000 0.644 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 4 0.3859 0.41682 0.000 0.016 0.000 0.776 0.168 0.040
#> B3527517-E339-46AE-8437-65303C309015 5 0.4181 0.07345 0.000 0.000 0.000 0.012 0.512 0.476
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 4 0.3659 0.61209 0.000 0.364 0.000 0.636 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.4367 0.62454 0.000 0.768 0.144 0.044 0.032 0.012
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 5 0.3725 0.59003 0.000 0.008 0.088 0.076 0.816 0.012
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.2219 0.72427 0.000 0.864 0.000 0.136 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.3756 0.88513 0.736 0.000 0.000 0.008 0.016 0.240
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.2191 0.77730 0.000 0.876 0.000 0.000 0.120 0.004
#> B4E02660-562F-4EAC-8472-CBBD8A577688 4 0.4686 0.62534 0.000 0.248 0.000 0.660 0.092 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.5887 -0.02579 0.000 0.000 0.404 0.000 0.200 0.396
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.89572 0.000 0.000 1.000 0.000 0.000 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0508 0.85192 0.984 0.000 0.000 0.004 0.012 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 6 0.5284 0.46328 0.000 0.000 0.268 0.012 0.108 0.612
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 4 0.4959 0.47658 0.000 0.092 0.000 0.692 0.188 0.028
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0508 0.86037 0.000 0.984 0.000 0.012 0.004 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 4 0.3054 0.60792 0.000 0.116 0.000 0.840 0.040 0.004
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.3756 0.88513 0.736 0.000 0.000 0.008 0.016 0.240
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 4 0.1605 0.55175 0.000 0.012 0.000 0.940 0.032 0.016
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 4 0.3717 0.59025 0.000 0.384 0.000 0.616 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.3756 0.88513 0.736 0.000 0.000 0.008 0.016 0.240
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 5 0.3405 0.64996 0.000 0.000 0.000 0.272 0.724 0.004
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0508 0.85192 0.984 0.000 0.000 0.004 0.012 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 4 0.3672 0.60866 0.000 0.368 0.000 0.632 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.2378 0.88204 0.848 0.000 0.000 0.000 0.000 0.152
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0547 0.85782 0.000 0.980 0.000 0.020 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.3756 0.88513 0.736 0.000 0.000 0.008 0.016 0.240
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.3756 0.88513 0.736 0.000 0.000 0.008 0.016 0.240
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 4 0.3647 0.61515 0.000 0.360 0.000 0.640 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.2258 0.80438 0.000 0.896 0.000 0.060 0.044 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.3756 0.88513 0.736 0.000 0.000 0.008 0.016 0.240
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0547 0.85782 0.000 0.980 0.000 0.020 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 4 0.3482 0.64189 0.000 0.316 0.000 0.684 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "pam"]
# you can also extract it by
# res = res_list["MAD:pam"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17288 rows and 266 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 1.000 1.000 1.000 0.4343 0.566 0.566
#> 3 3 0.856 0.865 0.945 0.4896 0.786 0.622
#> 4 4 0.748 0.805 0.867 0.1086 0.867 0.660
#> 5 5 0.665 0.570 0.710 0.0810 0.917 0.731
#> 6 6 0.815 0.766 0.864 0.0653 0.902 0.614
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0 1 0 1
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0 1 0 1
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0 1 1 0
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0 1 0 1
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0 1 0 1
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0 1 0 1
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0 1 0 1
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0 1 1 0
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0 1 1 0
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0 1 0 1
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0 1 1 0
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0 1 0 1
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0 1 1 0
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0 1 1 0
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0 1 1 0
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0 1 0 1
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0 1 0 1
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0 1 0 1
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0 1 0 1
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0 1 0 1
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0 1 0 1
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0 1 1 0
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0 1 0 1
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0 1 1 0
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0 1 0 1
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0 1 0 1
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0 1 1 0
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0 1 0 1
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0 1 1 0
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0 1 0 1
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0 1 1 0
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0 1 0 1
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0 1 1 0
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0 1 1 0
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0 1 0 1
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0 1 0 1
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0 1 0 1
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 2 0 1 0 1
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0 1 0 1
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0 1 1 0
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0 1 0 1
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0 1 1 0
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0 1 0 1
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0 1 0 1
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0 1 0 1
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0 1 0 1
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0 1 0 1
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0 1 0 1
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0 1 0 1
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0 1 1 0
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0 1 0 1
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0 1 0 1
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0 1 1 0
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0 1 1 0
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0 1 0 1
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0 1 0 1
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0 1 1 0
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0 1 0 1
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0 1 0 1
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0 1 0 1
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0 1 0 1
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0 1 0 1
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0 1 0 1
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0 1 0 1
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0 1 0 1
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0 1 0 1
#> CF629C65-585D-476D-B081-3E6E0575FAE3 2 0 1 0 1
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0 1 0 1
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0 1 1 0
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0 1 0 1
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0 1 1 0
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0 1 1 0
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0 1 0 1
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0 1 0 1
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0 1 0 1
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0 1 1 0
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0 1 0 1
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 2 0 1 0 1
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0 1 0 1
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 2 0 1 0 1
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0 1 0 1
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0 1 1 0
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0 1 0 1
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0 1 0 1
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0 1 1 0
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0 1 0 1
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0 1 0 1
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0 1 0 1
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0 1 0 1
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0 1 0 1
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0 1 0 1
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0 1 1 0
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0 1 0 1
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0 1 1 0
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0 1 1 0
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0 1 0 1
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0 1 0 1
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0 1 1 0
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0 1 0 1
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0 1 1 0
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0 1 0 1
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0 1 0 1
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0 1 1 0
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0 1 0 1
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0 1 1 0
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0 1 0 1
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0 1 0 1
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0 1 1 0
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 2 0 1 0 1
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0 1 0 1
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0 1 0 1
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0 1 1 0
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0 1 1 0
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0 1 1 0
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0 1 0 1
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0 1 0 1
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0 1 0 1
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0 1 0 1
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0 1 0 1
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0 1 0 1
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0 1 0 1
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 2 0 1 0 1
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0 1 0 1
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0 1 0 1
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0 1 0 1
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0 1 0 1
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0 1 0 1
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0 1 0 1
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0 1 1 0
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0 1 0 1
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 2 0 1 0 1
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0 1 1 0
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0 1 0 1
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0 1 0 1
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0 1 1 0
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0 1 0 1
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0 1 0 1
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0 1 1 0
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0 1 0 1
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0 1 1 0
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0 1 0 1
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0 1 0 1
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0 1 0 1
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0 1 0 1
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0 1 1 0
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0 1 1 0
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0 1 0 1
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0 1 0 1
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0 1 0 1
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0 1 0 1
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 2 0 1 0 1
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0 1 1 0
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0 1 0 1
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0 1 1 0
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0 1 1 0
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0 1 0 1
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0 1 1 0
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0 1 0 1
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0 1 0 1
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0 1 0 1
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0 1 0 1
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0 1 1 0
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0 1 1 0
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0 1 0 1
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0 1 0 1
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0 1 1 0
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0 1 1 0
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0 1 1 0
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0 1 0 1
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 2 0 1 0 1
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0 1 1 0
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0 1 0 1
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0 1 0 1
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0 1 0 1
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0 1 1 0
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0 1 1 0
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0 1 0 1
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0 1 0 1
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0 1 0 1
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0 1 1 0
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0 1 0 1
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0 1 1 0
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0 1 0 1
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0 1 1 0
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0 1 0 1
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0 1 0 1
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0 1 0 1
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0 1 0 1
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0 1 0 1
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0 1 0 1
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0 1 1 0
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0 1 1 0
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0 1 0 1
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0 1 1 0
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0 1 0 1
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0 1 1 0
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0 1 0 1
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0 1 0 1
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0 1 0 1
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0 1 1 0
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0 1 0 1
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0 1 0 1
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0 1 0 1
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0 1 0 1
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0 1 0 1
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0 1 0 1
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0 1 1 0
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0 1 1 0
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0 1 0 1
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0 1 0 1
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0 1 0 1
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0 1 0 1
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0 1 1 0
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0 1 0 1
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0 1 1 0
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0 1 1 0
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0 1 0 1
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0 1 0 1
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0 1 0 1
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0 1 1 0
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0 1 0 1
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0 1 0 1
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0 1 1 0
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0 1 0 1
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0 1 0 1
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0 1 1 0
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0 1 1 0
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0 1 0 1
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0 1 1 0
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0 1 0 1
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0 1 0 1
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0 1 0 1
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0 1 1 0
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0 1 0 1
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0 1 0 1
#> B3527517-E339-46AE-8437-65303C309015 2 0 1 0 1
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0 1 0 1
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0 1 0 1
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0 1 0 1
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0 1 0 1
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0 1 1 0
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0 1 0 1
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0 1 0 1
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0 1 0 1
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0 1 0 1
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0 1 1 0
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0 1 0 1
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0 1 0 1
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0 1 0 1
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0 1 0 1
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0 1 1 0
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0 1 0 1
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0 1 0 1
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0 1 1 0
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0 1 0 1
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0 1 1 0
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0 1 0 1
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0 1 1 0
#> CE91F591-6072-4D29-9495-C78961635969 2 0 1 0 1
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0 1 1 0
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0 1 1 0
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0 1 0 1
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0 1 0 1
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0 1 1 0
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0 1 0 1
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0 1 0 1
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.9291 0.000 1.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.9291 0.000 1.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9924 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 3 0.5988 0.4966 0.000 0.368 0.632
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.6215 0.3140 0.000 0.428 0.572
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.4452 0.7488 0.000 0.192 0.808
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.5810 0.4572 0.000 0.664 0.336
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.9924 1.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9924 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0000 0.8747 0.000 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.6140 0.3146 0.596 0.000 0.404
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0000 0.8747 0.000 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.4605 0.7328 0.796 0.000 0.204
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9924 1.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9924 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.2537 0.8533 0.000 0.920 0.080
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.9291 0.000 1.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0000 0.8747 0.000 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0000 0.9291 0.000 1.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.9291 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.9291 0.000 1.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.9924 1.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.9291 0.000 1.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.9924 1.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.5465 0.5712 0.000 0.712 0.288
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.5678 0.5190 0.000 0.316 0.684
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.9924 1.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.9291 0.000 1.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.9924 1.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.9291 0.000 1.000 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.9924 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.5591 0.5190 0.000 0.696 0.304
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 0.9924 1.000 0.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.9924 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.6026 0.2830 0.000 0.624 0.376
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.0000 0.9291 0.000 1.000 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0000 0.9291 0.000 1.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.0000 0.8747 0.000 0.000 1.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 3 0.2625 0.8358 0.000 0.084 0.916
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#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.9291 0.000 1.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.9291 0.000 1.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.9924 1.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.2356 0.8418 0.000 0.072 0.928
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 3 0.4654 0.7362 0.000 0.208 0.792
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.9924 1.000 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.2261 0.8629 0.000 0.932 0.068
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.9291 0.000 1.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9924 1.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.9924 1.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0000 0.8747 0.000 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.9924 1.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.9291 0.000 1.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.0000 0.8747 0.000 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0000 0.9291 0.000 1.000 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.9924 1.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.9291 0.000 1.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0000 0.9291 0.000 1.000 0.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.5363 0.5718 0.000 0.724 0.276
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.9291 0.000 1.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.1031 0.9098 0.000 0.976 0.024
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.6140 0.2817 0.000 0.596 0.404
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.9291 0.000 1.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9924 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.4974 0.6343 0.000 0.764 0.236
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.9291 0.000 1.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.5138 0.6334 0.000 0.252 0.748
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.8747 0.000 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.9924 1.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0000 0.8747 0.000 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.9291 0.000 1.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.9291 0.000 1.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.9291 0.000 1.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9924 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.9291 0.000 1.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.9291 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9924 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0000 0.9291 0.000 1.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.9924 1.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.9291 0.000 1.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.9924 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.9291 0.000 1.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9924 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9924 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.9291 0.000 1.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.9291 0.000 1.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9924 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.9291 0.000 1.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.9291 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.4730 0.7718 0.000 0.636 0.000 0.364
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0188 0.7561 0.000 0.996 0.000 0.004
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.7379 0.3679 0.000 0.468 0.168 0.364
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 4 0.4730 0.6671 0.000 0.364 0.000 0.636
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 4 0.4182 0.6310 0.000 0.024 0.180 0.796
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.4057 0.6617 0.000 0.152 0.032 0.816
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0188 0.9438 0.000 0.000 0.996 0.004
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 3 0.4941 0.2350 0.436 0.000 0.564 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0188 0.9438 0.000 0.000 0.996 0.004
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.4356 0.5688 0.708 0.000 0.292 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.4730 0.7718 0.000 0.636 0.000 0.364
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 4 0.4746 0.4913 0.000 0.000 0.368 0.632
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.3311 0.7817 0.000 0.828 0.000 0.172
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.3400 0.7456 0.000 0.820 0.000 0.180
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0188 0.7561 0.000 0.996 0.000 0.004
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.5396 -0.2515 0.000 0.464 0.012 0.524
#> 61130DEE-E267-49DF-8B41-7738A06EF738 4 0.3907 0.5782 0.000 0.000 0.232 0.768
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.3400 0.7456 0.000 0.820 0.000 0.180
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.3688 0.7821 0.000 0.792 0.000 0.208
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 4 0.3764 0.6631 0.000 0.172 0.012 0.816
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 4 0.4222 0.6565 0.000 0.272 0.000 0.728
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 4 0.4999 -0.1446 0.000 0.492 0.000 0.508
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 4 0.7613 0.3281 0.000 0.240 0.288 0.472
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.3172 0.7502 0.000 0.840 0.000 0.160
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.6542 0.6708 0.000 0.636 0.168 0.196
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.3400 0.6599 0.000 0.180 0.000 0.820
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.4454 0.7742 0.000 0.692 0.000 0.308
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.3400 0.7456 0.000 0.820 0.000 0.180
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.3400 0.7456 0.000 0.820 0.000 0.180
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.3688 0.7039 0.000 0.792 0.000 0.208
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.4095 0.6879 0.000 0.804 0.172 0.024
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 4 0.4999 0.5318 0.000 0.492 0.000 0.508
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 4 0.4098 0.6077 0.000 0.012 0.204 0.784
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0188 0.7561 0.000 0.996 0.000 0.004
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 4 0.3569 0.6186 0.000 0.196 0.000 0.804
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.3024 0.7531 0.000 0.852 0.000 0.148
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.2081 0.8348 0.000 0.000 0.916 0.084
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.4250 0.7729 0.000 0.724 0.000 0.276
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.4164 0.7089 0.000 0.736 0.000 0.264
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.5614 0.7608 0.000 0.652 0.044 0.304
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.6400 0.6664 0.000 0.652 0.168 0.180
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.3266 0.6879 0.000 0.000 0.832 0.168
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.3024 0.7531 0.000 0.852 0.000 0.148
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0188 0.9921 0.996 0.000 0.004 0.000
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.4730 0.7718 0.000 0.636 0.000 0.364
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.3668 0.7797 0.000 0.808 0.004 0.188
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 4 0.4746 0.4913 0.000 0.000 0.368 0.632
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 4 0.3726 0.6298 0.000 0.212 0.000 0.788
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.5968 0.5152 0.000 0.664 0.252 0.084
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.1474 0.7217 0.000 0.948 0.000 0.052
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.4746 0.7703 0.000 0.632 0.000 0.368
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 4 0.4746 0.4913 0.000 0.000 0.368 0.632
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.3400 0.7456 0.000 0.820 0.000 0.180
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 4 0.6439 0.6670 0.000 0.176 0.176 0.648
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 4 0.4428 0.5436 0.000 0.276 0.004 0.720
#> E769E41D-5949-42C5-9594-E563C05ACE52 4 0.5905 0.6837 0.000 0.304 0.060 0.636
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> 87F8A33F-FBC3-469E-862B-84472F796358 4 0.4418 0.6256 0.000 0.032 0.184 0.784
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.3942 0.7659 0.000 0.764 0.000 0.236
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.1637 0.7714 0.000 0.940 0.000 0.060
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 4 0.6585 0.6664 0.000 0.188 0.180 0.632
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.3444 0.7504 0.000 0.816 0.000 0.184
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.3400 0.7488 0.000 0.820 0.000 0.180
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.3907 0.5900 0.000 0.000 0.768 0.232
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 4 0.3486 0.6666 0.000 0.188 0.000 0.812
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.0188 0.9438 0.000 0.000 0.996 0.004
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.4730 0.7718 0.000 0.636 0.000 0.364
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 74868C37-8143-4306-81CA-E45759D146CD 4 0.6534 0.6777 0.000 0.220 0.148 0.632
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.3266 0.7509 0.000 0.832 0.000 0.168
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.4072 0.7869 0.000 0.748 0.000 0.252
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.3726 0.7826 0.000 0.788 0.000 0.212
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.3528 0.7819 0.000 0.808 0.000 0.192
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.3266 0.7464 0.000 0.832 0.000 0.168
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0188 0.7561 0.000 0.996 0.000 0.004
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.2760 0.7549 0.000 0.000 0.872 0.128
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.3400 0.7456 0.000 0.820 0.000 0.180
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 4 0.6313 0.4615 0.000 0.220 0.128 0.652
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 4 0.4182 0.6201 0.000 0.024 0.180 0.796
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.1557 0.7707 0.000 0.944 0.000 0.056
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.4454 0.7742 0.000 0.692 0.000 0.308
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.6537 0.6749 0.000 0.636 0.164 0.200
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 4 0.3751 0.6696 0.000 0.196 0.004 0.800
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.3975 0.3396 0.000 0.760 0.000 0.240
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 2 0.4905 0.7704 0.000 0.632 0.004 0.364
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.4730 0.7718 0.000 0.636 0.000 0.364
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 4 0.3681 0.6626 0.000 0.176 0.008 0.816
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.6397 0.6708 0.000 0.652 0.164 0.184
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.3400 0.7456 0.000 0.820 0.000 0.180
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 4 0.4746 0.4913 0.000 0.000 0.368 0.632
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 4 0.4375 0.6261 0.000 0.032 0.180 0.788
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 4 0.4746 0.6666 0.000 0.368 0.000 0.632
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0188 0.7561 0.000 0.996 0.000 0.004
#> 30346897-EC77-4153-88A2-D14593C8B741 4 0.4746 0.4913 0.000 0.000 0.368 0.632
#> 0F00E267-C748-4A71-8B36-03C410641D88 4 0.6585 0.6664 0.000 0.188 0.180 0.632
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 4 0.4999 0.5317 0.000 0.492 0.000 0.508
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.4730 0.7718 0.000 0.636 0.000 0.364
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.3444 0.7435 0.000 0.816 0.000 0.184
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0817 0.7631 0.000 0.976 0.000 0.024
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 4 0.4139 0.6181 0.000 0.024 0.176 0.800
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.3266 0.7464 0.000 0.832 0.000 0.168
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0336 0.7582 0.000 0.992 0.000 0.008
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.4730 0.7718 0.000 0.636 0.000 0.364
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 4 0.5677 0.5435 0.000 0.040 0.332 0.628
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 4 0.3764 0.6325 0.000 0.216 0.000 0.784
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.6393 0.6749 0.000 0.652 0.160 0.188
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 4 0.4746 0.4913 0.000 0.000 0.368 0.632
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.3852 0.7801 0.000 0.800 0.008 0.192
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.4730 0.7718 0.000 0.636 0.000 0.364
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.5237 0.7692 0.000 0.628 0.016 0.356
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0188 0.7561 0.000 0.996 0.000 0.004
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.4730 0.7718 0.000 0.636 0.000 0.364
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 4 0.6437 0.6622 0.000 0.168 0.184 0.648
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 4 0.5517 0.5889 0.000 0.092 0.184 0.724
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.3356 0.7467 0.000 0.824 0.000 0.176
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.3400 0.7456 0.000 0.820 0.000 0.180
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 4 0.4746 0.6666 0.000 0.368 0.000 0.632
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.3486 0.7806 0.000 0.812 0.000 0.188
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.1716 0.7084 0.000 0.936 0.000 0.064
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.2149 0.7398 0.000 0.912 0.000 0.088
#> B3527517-E339-46AE-8437-65303C309015 4 0.3764 0.6631 0.000 0.172 0.012 0.816
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0336 0.7573 0.000 0.992 0.000 0.008
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.4746 0.7703 0.000 0.632 0.000 0.368
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.4163 0.7768 0.000 0.792 0.020 0.188
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.3400 0.7456 0.000 0.820 0.000 0.180
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.4730 0.7718 0.000 0.636 0.000 0.364
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.3219 0.7816 0.000 0.836 0.000 0.164
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 4 0.4941 0.2488 0.000 0.000 0.436 0.564
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.9472 0.000 0.000 1.000 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 4 0.4746 0.4913 0.000 0.000 0.368 0.632
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 4 0.4948 -0.0707 0.000 0.440 0.000 0.560
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.4431 0.7852 0.000 0.696 0.000 0.304
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0188 0.7561 0.000 0.996 0.000 0.004
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 4 0.4746 0.6666 0.000 0.368 0.000 0.632
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.3024 0.7531 0.000 0.852 0.000 0.148
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.4679 0.5598 0.000 0.648 0.000 0.352
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.2469 0.6486 0.000 0.892 0.000 0.108
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.3528 0.7531 0.000 0.808 0.000 0.192
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.1302 0.7284 0.000 0.956 0.000 0.044
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.3801 0.7831 0.000 0.780 0.000 0.220
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9962 1.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.3400 0.7456 0.000 0.820 0.000 0.180
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.2216 0.6722 0.000 0.908 0.000 0.092
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.5056 0.000 1.000 0.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 5 0.3661 0.7279 0.000 0.276 0.000 0.000 0.724
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.5355 0.7339 0.660 0.000 0.220 0.000 0.120
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.3983 0.2333 0.000 0.660 0.000 0.340 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 4 0.4045 0.5354 0.000 0.000 0.000 0.644 0.356
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 4 0.2561 0.6532 0.000 0.144 0.000 0.856 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.5510 0.6022 0.000 0.208 0.000 0.648 0.144
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.4914 0.7066 0.704 0.000 0.092 0.000 0.204
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.3586 0.7292 0.736 0.000 0.264 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.4060 0.9619 0.000 0.000 0.640 0.360 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.7012 0.4917 0.572 0.000 0.144 0.084 0.200
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#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.3586 0.7292 0.736 0.000 0.264 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.3586 0.7292 0.736 0.000 0.264 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 5 0.4783 0.6467 0.000 0.176 0.000 0.100 0.724
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 2 0.1041 0.4999 0.000 0.964 0.032 0.000 0.004
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.3586 0.7429 0.828 0.000 0.096 0.000 0.076
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.3857 0.4031 0.000 0.688 0.000 0.000 0.312
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.5056 0.000 1.000 0.000 0.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 4 0.5510 0.6022 0.000 0.208 0.000 0.648 0.144
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.3586 0.7292 0.736 0.000 0.264 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.3586 0.7292 0.736 0.000 0.264 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.4054 0.3130 0.000 0.760 0.000 0.204 0.036
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.4219 -0.1920 0.000 0.584 0.000 0.000 0.416
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 4 0.0000 0.5843 0.000 0.000 0.000 1.000 0.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.3636 0.7014 0.728 0.000 0.000 0.000 0.272
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 4 0.2561 0.6532 0.000 0.144 0.000 0.856 0.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.3586 0.7292 0.736 0.000 0.264 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 5 0.4307 -0.2898 0.000 0.000 0.000 0.500 0.500
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.2358 0.7372 0.888 0.000 0.008 0.000 0.104
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.4045 0.9658 0.000 0.000 0.644 0.356 0.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 5 0.3661 0.7279 0.000 0.276 0.000 0.000 0.724
#> 30346897-EC77-4153-88A2-D14593C8B741 4 0.0000 0.5843 0.000 0.000 0.000 1.000 0.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 4 0.2561 0.6809 0.000 0.000 0.000 0.856 0.144
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 5 0.4797 0.5556 0.000 0.104 0.000 0.172 0.724
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0162 0.5055 0.000 0.996 0.000 0.000 0.004
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.3636 0.7014 0.728 0.000 0.000 0.000 0.272
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.4045 0.7177 0.644 0.000 0.356 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.4359 -0.1917 0.000 0.584 0.000 0.004 0.412
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.3452 0.7107 0.756 0.000 0.000 0.000 0.244
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.3707 0.4278 0.000 0.716 0.000 0.000 0.284
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.3395 0.7130 0.764 0.000 0.000 0.000 0.236
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 5 0.3752 0.7066 0.000 0.292 0.000 0.000 0.708
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.4045 0.9658 0.000 0.000 0.644 0.356 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.4045 0.9658 0.000 0.000 0.644 0.356 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.5353 0.6857 0.636 0.000 0.092 0.000 0.272
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 4 0.2561 0.6532 0.000 0.144 0.000 0.856 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 5 0.4555 0.4497 0.000 0.472 0.000 0.008 0.520
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 5 0.3999 0.6219 0.000 0.344 0.000 0.000 0.656
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.5056 0.000 1.000 0.000 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.4045 0.9658 0.000 0.000 0.644 0.356 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 4 0.1041 0.6154 0.000 0.000 0.004 0.964 0.032
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.5544 0.7345 0.648 0.000 0.184 0.000 0.168
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.3586 0.7292 0.736 0.000 0.264 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 4 0.6579 0.2880 0.000 0.232 0.000 0.460 0.308
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.3143 0.3489 0.000 0.796 0.000 0.204 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 4 0.0000 0.5843 0.000 0.000 0.000 1.000 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.3550 0.4501 0.000 0.760 0.004 0.000 0.236
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.5240 0.6939 0.656 0.000 0.092 0.000 0.252
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0000 0.5056 0.000 1.000 0.000 0.000 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.4284 0.7387 0.736 0.000 0.224 0.000 0.040
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.4045 0.7177 0.644 0.000 0.356 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.0613 0.5039 0.000 0.984 0.008 0.004 0.004
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 5 0.3636 0.7282 0.000 0.272 0.000 0.000 0.728
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.5056 0.000 1.000 0.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.3586 0.7292 0.736 0.000 0.264 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 4 0.2561 0.6809 0.000 0.000 0.000 0.856 0.144
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 4 0.3579 0.6041 0.000 0.240 0.000 0.756 0.004
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.5060 0.7018 0.684 0.000 0.092 0.000 0.224
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.4256 -0.2470 0.000 0.564 0.000 0.000 0.436
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.4219 -0.1963 0.000 0.584 0.000 0.000 0.416
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.3586 0.7292 0.736 0.000 0.264 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.5353 0.6857 0.636 0.000 0.092 0.000 0.272
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.4045 0.9658 0.000 0.000 0.644 0.356 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.3980 0.7417 0.796 0.000 0.128 0.000 0.076
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 4 0.4060 0.5304 0.000 0.000 0.000 0.640 0.360
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.4045 0.9658 0.000 0.000 0.644 0.356 0.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.3876 0.4020 0.000 0.684 0.000 0.000 0.316
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.3636 0.7014 0.728 0.000 0.000 0.000 0.272
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 5 0.4276 0.7212 0.000 0.244 0.000 0.032 0.724
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 5 0.4565 0.4385 0.000 0.408 0.000 0.012 0.580
#> B3527517-E339-46AE-8437-65303C309015 4 0.5510 0.6022 0.000 0.208 0.000 0.648 0.144
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 5 0.3661 0.7279 0.000 0.276 0.000 0.000 0.724
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0000 0.5056 0.000 1.000 0.000 0.000 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.4730 0.4140 0.000 0.688 0.052 0.000 0.260
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.4210 -0.1884 0.000 0.588 0.000 0.000 0.412
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.4045 0.7177 0.644 0.000 0.356 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0000 0.5056 0.000 1.000 0.000 0.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 5 0.4304 0.1739 0.000 0.484 0.000 0.000 0.516
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 4 0.4970 0.4417 0.000 0.140 0.148 0.712 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.4045 0.9658 0.000 0.000 0.644 0.356 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.3452 0.7107 0.756 0.000 0.000 0.000 0.244
#> FF00E80A-046D-4233-835E-CDF93403EA43 4 0.0000 0.5843 0.000 0.000 0.000 1.000 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.6294 -0.0104 0.000 0.468 0.000 0.376 0.156
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.1410 0.5026 0.000 0.940 0.000 0.000 0.060
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 5 0.3636 0.7282 0.000 0.272 0.000 0.000 0.728
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.3586 0.7292 0.736 0.000 0.264 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 5 0.3636 0.3534 0.000 0.000 0.000 0.272 0.728
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 5 0.4227 0.5481 0.000 0.420 0.000 0.000 0.580
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.3586 0.7292 0.736 0.000 0.264 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.6158 0.2294 0.000 0.528 0.000 0.156 0.316
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.3636 0.7014 0.728 0.000 0.000 0.000 0.272
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 5 0.4525 0.6995 0.000 0.220 0.000 0.056 0.724
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.5192 0.6965 0.664 0.000 0.092 0.000 0.244
#> CE91F591-6072-4D29-9495-C78961635969 2 0.3707 0.0933 0.000 0.716 0.000 0.000 0.284
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.3586 0.7292 0.736 0.000 0.264 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.4045 0.7177 0.644 0.000 0.356 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 5 0.4014 0.7290 0.000 0.256 0.000 0.016 0.728
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.2605 0.4797 0.000 0.852 0.000 0.000 0.148
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.3586 0.7292 0.736 0.000 0.264 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.4210 -0.1884 0.000 0.588 0.000 0.000 0.412
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 5 0.4276 0.7214 0.000 0.244 0.000 0.032 0.724
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.7354 0.000 1.000 0.000 0.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 5 0.0363 0.7828 0.000 0.012 0.000 0.000 0.988 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.3737 0.5049 0.608 0.000 0.000 0.000 0.000 0.392
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.3804 0.3128 0.000 0.656 0.000 0.336 0.008 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 4 0.0000 0.8805 0.000 0.000 0.000 1.000 0.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 4 0.0000 0.8805 0.000 0.000 0.000 1.000 0.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.0458 0.8744 0.000 0.016 0.000 0.984 0.000 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 6 0.1556 0.8678 0.080 0.000 0.000 0.000 0.000 0.920
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9102 1.000 0.000 0.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.2730 0.7719 0.000 0.000 0.808 0.192 0.000 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 6 0.3225 0.8490 0.080 0.000 0.092 0.000 0.000 0.828
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0260 0.9656 0.000 0.000 0.992 0.008 0.000 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 6 0.2888 0.8602 0.056 0.000 0.092 0.000 0.000 0.852
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.3823 0.3999 0.564 0.000 0.000 0.000 0.000 0.436
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.1501 0.8904 0.924 0.000 0.000 0.000 0.000 0.076
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.7354 0.000 1.000 0.000 0.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.3421 0.7398 0.000 0.736 0.000 0.008 0.256 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 4 0.0000 0.8805 0.000 0.000 0.000 1.000 0.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 5 0.3706 0.0668 0.000 0.380 0.000 0.000 0.620 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 5 0.3198 0.7050 0.000 0.260 0.000 0.000 0.740 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.3428 0.6929 0.000 0.696 0.000 0.000 0.304 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 6 0.1714 0.9035 0.092 0.000 0.000 0.000 0.000 0.908
#> 7A813F60-A41E-4552-990E-F22287654C1D 5 0.0260 0.7813 0.000 0.008 0.000 0.000 0.992 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 6 0.0000 0.8923 0.000 0.000 0.000 0.000 0.000 1.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.3802 0.4890 0.000 0.312 0.000 0.676 0.012 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 4 0.0146 0.8785 0.000 0.000 0.004 0.996 0.000 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 6 0.1204 0.8808 0.056 0.000 0.000 0.000 0.000 0.944
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.3847 -0.2607 0.000 0.544 0.000 0.000 0.456 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.1327 0.8706 0.936 0.000 0.000 0.000 0.000 0.064
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.2454 0.7556 0.000 0.840 0.000 0.000 0.160 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.9102 1.000 0.000 0.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 4 0.0000 0.8805 0.000 0.000 0.000 1.000 0.000 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 6 0.1501 0.8685 0.076 0.000 0.000 0.000 0.000 0.924
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.1714 0.8839 0.908 0.000 0.000 0.000 0.000 0.092
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 4 0.0146 0.8792 0.000 0.000 0.000 0.996 0.004 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.3198 0.7423 0.000 0.740 0.000 0.000 0.260 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.5751 0.2820 0.000 0.508 0.000 0.276 0.216 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.0000 0.9715 0.000 0.000 1.000 0.000 0.000 0.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 4 0.5316 0.2992 0.000 0.416 0.104 0.480 0.000 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 6 0.1714 0.9035 0.092 0.000 0.000 0.000 0.000 0.908
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0000 0.9715 0.000 0.000 1.000 0.000 0.000 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.1714 0.8839 0.908 0.000 0.000 0.000 0.000 0.092
#> 3CE43921-47D5-4394-B9E1-242607775D61 5 0.2562 0.7554 0.000 0.172 0.000 0.000 0.828 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.1267 0.7033 0.000 0.940 0.000 0.060 0.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.3175 0.7407 0.000 0.744 0.000 0.000 0.256 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.1471 0.8512 0.000 0.004 0.000 0.932 0.064 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.1204 0.6985 0.000 0.944 0.000 0.000 0.056 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 5 0.3810 0.5064 0.000 0.428 0.000 0.000 0.572 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.3126 0.7440 0.000 0.752 0.000 0.000 0.248 0.000
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#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.3050 0.7494 0.000 0.764 0.000 0.000 0.236 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 6 0.2378 0.8764 0.152 0.000 0.000 0.000 0.000 0.848
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 5 0.0713 0.7693 0.000 0.028 0.000 0.000 0.972 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.0000 0.9715 0.000 0.000 1.000 0.000 0.000 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.0000 0.9715 0.000 0.000 1.000 0.000 0.000 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 6 0.0000 0.8923 0.000 0.000 0.000 0.000 0.000 1.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 4 0.2300 0.7797 0.000 0.144 0.000 0.856 0.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 5 0.3634 0.5845 0.000 0.356 0.000 0.000 0.644 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 5 0.3309 0.4028 0.000 0.280 0.000 0.000 0.720 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.7354 0.000 1.000 0.000 0.000 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0000 0.9715 0.000 0.000 1.000 0.000 0.000 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 4 0.0146 0.8788 0.000 0.000 0.004 0.996 0.000 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 6 0.3797 0.1439 0.420 0.000 0.000 0.000 0.000 0.580
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.9102 1.000 0.000 0.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 4 0.4989 0.5183 0.000 0.120 0.000 0.628 0.252 0.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.1141 0.7020 0.000 0.948 0.000 0.000 0.052 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 4 0.0000 0.8805 0.000 0.000 0.000 1.000 0.000 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.2994 0.7541 0.000 0.788 0.004 0.000 0.208 0.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 6 0.0632 0.8913 0.024 0.000 0.000 0.000 0.000 0.976
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0000 0.7354 0.000 1.000 0.000 0.000 0.000 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.1610 0.8566 0.916 0.000 0.000 0.000 0.000 0.084
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.1714 0.8839 0.908 0.000 0.000 0.000 0.000 0.092
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.0603 0.7340 0.000 0.980 0.016 0.000 0.004 0.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 5 0.0260 0.7813 0.000 0.008 0.000 0.000 0.992 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.7354 0.000 1.000 0.000 0.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.9102 1.000 0.000 0.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 4 0.1528 0.8518 0.000 0.048 0.000 0.936 0.016 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 4 0.3394 0.6959 0.000 0.236 0.000 0.752 0.012 0.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 6 0.1204 0.8805 0.056 0.000 0.000 0.000 0.000 0.944
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 5 0.3351 0.6923 0.000 0.288 0.000 0.000 0.712 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 5 0.3198 0.7035 0.000 0.260 0.000 0.000 0.740 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9102 1.000 0.000 0.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 6 0.0000 0.8923 0.000 0.000 0.000 0.000 0.000 1.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0000 0.9715 0.000 0.000 1.000 0.000 0.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.2912 0.6950 0.784 0.000 0.000 0.000 0.000 0.216
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 4 0.2883 0.7256 0.000 0.000 0.000 0.788 0.212 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.0000 0.9715 0.000 0.000 1.000 0.000 0.000 0.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.3445 0.7372 0.000 0.732 0.000 0.008 0.260 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 6 0.1714 0.9035 0.092 0.000 0.000 0.000 0.000 0.908
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 5 0.0363 0.7828 0.000 0.012 0.000 0.000 0.988 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 5 0.4057 -0.0122 0.000 0.388 0.000 0.012 0.600 0.000
#> B3527517-E339-46AE-8437-65303C309015 4 0.2300 0.7824 0.000 0.000 0.000 0.856 0.144 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 5 0.0458 0.7828 0.000 0.016 0.000 0.000 0.984 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0000 0.7354 0.000 1.000 0.000 0.000 0.000 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.3694 0.7427 0.000 0.740 0.028 0.000 0.232 0.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 5 0.3266 0.6984 0.000 0.272 0.000 0.000 0.728 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.1714 0.8839 0.908 0.000 0.000 0.000 0.000 0.092
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0000 0.7354 0.000 1.000 0.000 0.000 0.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 5 0.3330 0.3832 0.000 0.284 0.000 0.000 0.716 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 4 0.3868 0.0193 0.000 0.000 0.496 0.504 0.000 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.9715 0.000 0.000 1.000 0.000 0.000 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 6 0.2300 0.8818 0.144 0.000 0.000 0.000 0.000 0.856
#> FF00E80A-046D-4233-835E-CDF93403EA43 4 0.0000 0.8805 0.000 0.000 0.000 1.000 0.000 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 4 0.5347 0.2919 0.000 0.384 0.000 0.504 0.112 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.1267 0.7502 0.000 0.940 0.000 0.000 0.060 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 5 0.0000 0.7776 0.000 0.000 0.000 0.000 1.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9102 1.000 0.000 0.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 5 0.0260 0.7774 0.000 0.000 0.000 0.008 0.992 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 5 0.2416 0.7603 0.000 0.156 0.000 0.000 0.844 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9102 1.000 0.000 0.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.5314 0.5818 0.000 0.584 0.000 0.152 0.264 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 6 0.1714 0.9035 0.092 0.000 0.000 0.000 0.000 0.908
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 5 0.0363 0.7828 0.000 0.012 0.000 0.000 0.988 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 6 0.0865 0.8884 0.036 0.000 0.000 0.000 0.000 0.964
#> CE91F591-6072-4D29-9495-C78961635969 5 0.3867 0.3869 0.000 0.488 0.000 0.000 0.512 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9102 1.000 0.000 0.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.1714 0.8839 0.908 0.000 0.000 0.000 0.000 0.092
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 5 0.0260 0.7813 0.000 0.008 0.000 0.000 0.992 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.2340 0.7554 0.000 0.852 0.000 0.000 0.148 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9102 1.000 0.000 0.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 5 0.3266 0.6984 0.000 0.272 0.000 0.000 0.728 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 5 0.0363 0.7828 0.000 0.012 0.000 0.000 0.988 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "mclust"]
# you can also extract it by
# res = res_list["MAD:mclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17288 rows and 266 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.999 1.000 0.4340 0.566 0.566
#> 3 3 0.665 0.711 0.846 0.3883 0.829 0.699
#> 4 4 0.678 0.733 0.862 0.1606 0.803 0.561
#> 5 5 0.649 0.618 0.794 0.0516 0.968 0.896
#> 6 6 0.648 0.599 0.732 0.0502 0.910 0.709
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.000 1.000 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.000 1.000 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.000 0.998 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.000 1.000 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.000 1.000 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.000 1.000 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.000 1.000 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.000 0.998 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.000 0.998 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.000 1.000 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.000 0.998 1.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.000 1.000 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.000 0.998 1.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.000 0.998 1.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.000 0.998 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.000 1.000 0.000 1.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.000 1.000 0.000 1.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.000 1.000 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.000 1.000 0.000 1.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.000 1.000 0.000 1.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.000 1.000 0.000 1.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.000 0.998 1.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.000 1.000 0.000 1.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.000 0.998 1.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.000 1.000 0.000 1.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.000 1.000 0.000 1.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.000 0.998 1.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.000 1.000 0.000 1.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.000 0.998 1.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.000 1.000 0.000 1.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.000 0.998 1.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.000 1.000 0.000 1.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.563 0.848 0.868 0.132
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.000 0.998 1.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.000 1.000 0.000 1.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.000 1.000 0.000 1.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.000 1.000 0.000 1.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 2 0.000 1.000 0.000 1.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.000 1.000 0.000 1.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.000 0.998 1.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.000 1.000 0.000 1.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.000 0.998 1.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.000 1.000 0.000 1.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.000 1.000 0.000 1.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.000 1.000 0.000 1.000
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#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.000 1.000 0.000 1.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.000 1.000 0.000 1.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.000 1.000 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.000 1.000 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.000 0.998 1.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.000 1.000 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.000 1.000 0.000 1.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.000 1.000 0.000 1.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.000 1.000 0.000 1.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.000 0.998 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.000 1.000 0.000 1.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.000 1.000 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.000 0.998 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.000 1.000 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.000 0.998 1.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.000 1.000 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.000 0.998 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.000 1.000 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.000 0.998 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.000 0.998 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.000 1.000 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.000 1.000 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.000 0.998 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.000 1.000 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.000 1.000 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.6887 0.000 1.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.6887 0.000 1.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9888 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 3 0.5216 0.5859 0.000 0.260 0.740
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.5968 0.6137 0.000 0.636 0.364
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.6026 0.6016 0.000 0.624 0.376
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.5058 0.5646 0.000 0.244 0.756
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.9888 1.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9888 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.6225 -0.1032 0.000 0.432 0.568
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 3 0.5529 0.2855 0.296 0.000 0.704
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0237 0.6531 0.000 0.004 0.996
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 3 0.5529 0.2855 0.296 0.000 0.704
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9888 1.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9888 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.6887 0.000 1.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.5098 0.6602 0.000 0.752 0.248
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.6045 0.5969 0.000 0.620 0.380
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.5760 0.6309 0.000 0.672 0.328
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.6887 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.6887 0.000 1.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.9888 1.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.1289 0.6861 0.000 0.968 0.032
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.9888 1.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.5733 0.6326 0.000 0.676 0.324
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.6168 0.5490 0.000 0.588 0.412
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.9888 1.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.6887 0.000 1.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.9888 1.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.5465 0.5933 0.000 0.712 0.288
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.9888 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.5216 0.5420 0.000 0.260 0.740
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 3 0.7745 0.4130 0.260 0.092 0.648
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.9888 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.5706 0.6340 0.000 0.680 0.320
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 3 0.3340 0.6569 0.000 0.120 0.880
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.5859 0.6257 0.000 0.656 0.344
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.3686 0.6504 0.000 0.140 0.860
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 3 0.4121 0.6481 0.000 0.168 0.832
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.9888 1.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.6225 0.5172 0.000 0.568 0.432
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9888 1.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.6887 0.000 1.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.6887 0.000 1.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 3 0.6252 0.3116 0.000 0.444 0.556
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.4974 0.5737 0.000 0.236 0.764
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.6887 0.000 1.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.6887 0.000 1.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.5138 0.6286 0.000 0.748 0.252
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.9888 1.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.6887 0.000 1.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.6887 0.000 1.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.9888 1.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.9888 1.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.1753 0.6630 0.000 0.048 0.952
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.6235 0.4608 0.000 0.564 0.436
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.9888 1.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.4399 0.6604 0.000 0.812 0.188
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.5859 0.6247 0.000 0.656 0.344
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.6887 0.000 1.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.6887 0.000 1.000 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.5988 0.6102 0.000 0.632 0.368
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.6887 0.000 1.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 3 0.3340 0.6569 0.000 0.120 0.880
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.5882 0.6240 0.000 0.652 0.348
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.6887 0.000 1.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.3686 0.6504 0.000 0.140 0.860
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.6887 0.000 1.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.9888 1.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.6887 0.000 1.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.9888 1.000 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.9888 1.000 0.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.6252 0.4944 0.000 0.556 0.444
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.5098 0.5640 0.000 0.248 0.752
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.3551 0.6749 0.000 0.868 0.132
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.9888 1.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.6887 0.000 1.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.0237 0.6531 0.000 0.004 0.996
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0424 0.6887 0.000 0.992 0.008
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.5988 0.2428 0.000 0.368 0.632
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.6887 0.000 1.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.6267 0.3716 0.548 0.000 0.452
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.6225 0.5172 0.000 0.568 0.432
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.6887 0.000 1.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 0.9888 1.000 0.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.6045 0.5902 0.000 0.620 0.380
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.5988 0.6102 0.000 0.632 0.368
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 3 0.3116 0.6591 0.000 0.108 0.892
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.6079 0.5865 0.000 0.612 0.388
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.6140 0.5626 0.000 0.596 0.404
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0.6192 0.5373 0.000 0.580 0.420
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.9888 1.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.5785 0.6301 0.000 0.668 0.332
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0000 0.9888 1.000 0.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.9888 1.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.6225 0.5172 0.000 0.568 0.432
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0.6252 0.4944 0.000 0.556 0.444
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 0.9888 1.000 0.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.5016 0.6387 0.000 0.760 0.240
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.9888 1.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 3 0.5291 0.5286 0.000 0.268 0.732
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.6008 0.6061 0.000 0.628 0.372
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.9888 1.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.6887 0.000 1.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0000 0.9888 1.000 0.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.6204 0.5313 0.000 0.576 0.424
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.5988 0.6103 0.000 0.632 0.368
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.9888 1.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 3 0.5291 0.5286 0.000 0.268 0.732
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.5988 0.6102 0.000 0.632 0.368
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0.6168 0.5490 0.000 0.588 0.412
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0000 0.9888 1.000 0.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.9888 1.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0000 0.9888 1.000 0.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.5988 0.6102 0.000 0.632 0.368
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.6225 0.5172 0.000 0.568 0.432
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.5178 0.6186 0.000 0.744 0.256
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.5968 0.6137 0.000 0.636 0.364
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.6887 0.000 1.000 0.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.6225 0.5172 0.000 0.568 0.432
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 3 0.6192 0.1565 0.000 0.420 0.580
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.5905 0.1879 0.000 0.352 0.648
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.5968 0.6137 0.000 0.636 0.364
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.6887 0.000 1.000 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 3 0.5706 0.4730 0.000 0.320 0.680
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0000 0.6887 0.000 1.000 0.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0000 0.6887 0.000 1.000 0.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0.6168 0.5490 0.000 0.588 0.412
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.9888 1.000 0.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.5968 0.6137 0.000 0.636 0.364
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.1643 0.6548 0.000 0.044 0.956
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.9888 1.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 3 0.5397 0.5271 0.000 0.280 0.720
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 3 0.3686 0.6504 0.000 0.140 0.860
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0000 0.9888 1.000 0.000 0.000
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.5968 0.6137 0.000 0.636 0.364
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.6887 0.000 1.000 0.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.9888 1.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0000 0.6887 0.000 1.000 0.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0000 0.9888 1.000 0.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.6008 0.6019 0.000 0.628 0.372
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.5905 0.6206 0.000 0.648 0.352
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 3 0.3686 0.6504 0.000 0.140 0.860
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.6095 0.5720 0.000 0.608 0.392
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.9888 1.000 0.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0000 0.9888 1.000 0.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.5810 0.6281 0.000 0.664 0.336
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.6887 0.000 1.000 0.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0.5988 0.6102 0.000 0.632 0.368
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.6887 0.000 1.000 0.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.0237 0.6531 0.000 0.004 0.996
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0000 0.9888 1.000 0.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.6887 0.000 1.000 0.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.9888 1.000 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.9888 1.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.5497 0.6413 0.000 0.708 0.292
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0000 0.9888 1.000 0.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.5968 0.6137 0.000 0.636 0.364
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.2959 0.6752 0.000 0.900 0.100
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.2959 0.6777 0.000 0.900 0.100
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 3 0.3686 0.6504 0.000 0.140 0.860
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.9888 1.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 0.9888 1.000 0.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.6126 0.5702 0.000 0.600 0.400
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0.6180 0.5433 0.000 0.584 0.416
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0000 0.9888 1.000 0.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.9888 1.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.9888 1.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.1411 0.6854 0.000 0.964 0.036
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 3 0.3686 0.6504 0.000 0.140 0.860
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 0.9888 1.000 0.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.4346 0.6480 0.000 0.816 0.184
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.6887 0.000 1.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 3 0.4931 0.5769 0.000 0.232 0.768
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.9888 1.000 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.9888 1.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.6887 0.000 1.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.6887 0.000 1.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.6168 0.5490 0.000 0.588 0.412
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0000 0.9888 1.000 0.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.5988 0.6102 0.000 0.632 0.368
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.9888 1.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.5905 0.6214 0.000 0.648 0.352
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0000 0.9888 1.000 0.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.6225 0.5172 0.000 0.568 0.432
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0424 0.6885 0.000 0.992 0.008
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.5988 0.6102 0.000 0.632 0.368
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.6062 0.5926 0.000 0.616 0.384
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0592 0.6882 0.000 0.988 0.012
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.6887 0.000 1.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.9888 1.000 0.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.9888 1.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.6887 0.000 1.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0000 0.9888 1.000 0.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.5465 0.4611 0.000 0.712 0.288
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 0.9888 1.000 0.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.4062 0.6769 0.000 0.836 0.164
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.6244 0.5026 0.000 0.560 0.440
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.6168 0.5490 0.000 0.588 0.412
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.9888 1.000 0.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.5968 0.6137 0.000 0.636 0.364
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.6887 0.000 1.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.6887 0.000 1.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.6887 0.000 1.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.6079 0.5865 0.000 0.612 0.388
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.5968 0.6137 0.000 0.636 0.364
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.9888 1.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.9888 1.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.4974 0.5737 0.000 0.236 0.764
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.6887 0.000 1.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.5988 0.6102 0.000 0.632 0.368
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.5178 0.6273 0.000 0.744 0.256
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.6252 0.3864 0.556 0.000 0.444
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 3 0.3686 0.6504 0.000 0.140 0.860
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.9888 1.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.9888 1.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.4887 0.6454 0.000 0.772 0.228
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.3267 0.6768 0.000 0.884 0.116
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.6887 0.000 1.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.9888 1.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.6095 0.5809 0.000 0.608 0.392
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.5733 0.6323 0.000 0.676 0.324
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.2165 0.9304 0.936 0.000 0.064
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.6887 0.000 1.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.6887 0.000 1.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9888 1.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.9888 1.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.6168 0.5490 0.000 0.588 0.412
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.9888 1.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.5968 0.6137 0.000 0.636 0.364
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.6192 0.0155 0.000 0.420 0.580
#> CAE8097F-A139-4C6E-9E30-35080475FF34 3 0.5178 0.5635 0.000 0.256 0.744
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.9888 1.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.6887 0.000 1.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 3 0.6026 0.3362 0.000 0.376 0.624
#> B3527517-E339-46AE-8437-65303C309015 3 0.5465 0.4876 0.000 0.288 0.712
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.6887 0.000 1.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.5988 0.4778 0.000 0.632 0.368
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.6154 0.5535 0.000 0.592 0.408
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.6887 0.000 1.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9888 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 3 0.3686 0.6504 0.000 0.140 0.860
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.6887 0.000 1.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.6308 -0.2875 0.000 0.492 0.508
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.6168 0.5490 0.000 0.588 0.412
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.9888 1.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.6309 -0.3033 0.000 0.496 0.504
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.5560 0.6401 0.000 0.700 0.300
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.6887 0.000 1.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.3038 0.6756 0.000 0.896 0.104
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9888 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.5859 0.6250 0.000 0.656 0.344
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.6887 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9888 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 3 0.0892 0.6581 0.000 0.020 0.980
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.9888 1.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.6887 0.000 1.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.9888 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.6887 0.000 1.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9888 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9888 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.6887 0.000 1.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.6887 0.000 1.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9888 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.6887 0.000 1.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0424 0.6885 0.000 0.992 0.008
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.1767 0.8303 0.000 0.944 0.044 0.012
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0336 0.8519 0.000 0.992 0.008 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9617 1.000 0.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 4 0.7028 0.4182 0.000 0.160 0.280 0.560
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.4761 0.3570 0.000 0.372 0.628 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.3024 0.7060 0.000 0.148 0.852 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0817 0.7012 0.000 0.024 0.976 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0188 0.9606 0.996 0.000 0.000 0.004
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9617 1.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.3900 0.6307 0.000 0.020 0.816 0.164
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 4 0.2335 0.6774 0.060 0.000 0.020 0.920
#> 844E4CCD-D30C-416F-A086-8923711A4E25 4 0.5203 0.3547 0.000 0.008 0.416 0.576
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 4 0.2335 0.6774 0.060 0.000 0.020 0.920
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9617 1.000 0.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9617 1.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.1854 0.8311 0.000 0.940 0.048 0.012
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.4502 0.6446 0.000 0.748 0.236 0.016
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.1940 0.7179 0.000 0.076 0.924 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 3 0.5693 0.1282 0.000 0.472 0.504 0.024
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0336 0.8519 0.000 0.992 0.008 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0336 0.8519 0.000 0.992 0.008 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0188 0.9606 0.996 0.000 0.000 0.004
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0817 0.8485 0.000 0.976 0.024 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.9617 1.000 0.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.5523 0.3456 0.000 0.596 0.380 0.024
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.1118 0.7076 0.000 0.036 0.964 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.9617 1.000 0.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0524 0.8477 0.000 0.988 0.004 0.008
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.2216 0.9135 0.908 0.000 0.000 0.092
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 3 0.7373 0.3424 0.000 0.184 0.500 0.316
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0188 0.9606 0.996 0.000 0.000 0.004
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.0817 0.7012 0.000 0.024 0.976 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 4 0.1284 0.6896 0.024 0.000 0.012 0.964
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0921 0.9505 0.972 0.000 0.000 0.028
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.5213 0.5225 0.000 0.652 0.328 0.020
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 3 0.5995 0.5677 0.000 0.084 0.660 0.256
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.5108 0.5516 0.000 0.672 0.308 0.020
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 4 0.3123 0.7260 0.000 0.000 0.156 0.844
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 4 0.7248 0.3303 0.000 0.184 0.284 0.532
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.1637 0.9330 0.940 0.000 0.000 0.060
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.3080 0.6737 0.000 0.024 0.880 0.096
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9617 1.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0336 0.8519 0.000 0.992 0.008 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.3708 0.7099 0.000 0.832 0.148 0.020
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 3 0.4663 0.6410 0.000 0.272 0.716 0.012
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.4540 0.6823 0.000 0.196 0.772 0.032
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.1807 0.8259 0.000 0.940 0.052 0.008
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.2101 0.8189 0.000 0.928 0.060 0.012
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 3 0.6955 0.5155 0.000 0.296 0.560 0.144
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0707 0.9544 0.980 0.000 0.000 0.020
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.1677 0.8326 0.000 0.948 0.040 0.012
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0336 0.8519 0.000 0.992 0.008 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0188 0.9606 0.996 0.000 0.000 0.004
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.9617 1.000 0.000 0.000 0.000
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#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0336 0.8450 0.000 0.992 0.000 0.008
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.9617 1.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.1474 0.7141 0.000 0.052 0.948 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.5695 -0.0401 0.000 0.500 0.476 0.024
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.4697 0.5638 0.644 0.000 0.000 0.356
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0524 0.8518 0.000 0.988 0.008 0.004
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0188 0.8508 0.000 0.996 0.004 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9617 1.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.9617 1.000 0.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.2882 0.6806 0.000 0.024 0.892 0.084
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0188 0.9606 0.996 0.000 0.000 0.004
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.5271 0.5046 0.000 0.640 0.340 0.020
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.5820 0.6568 0.000 0.108 0.700 0.192
#> CAE8097F-A139-4C6E-9E30-35080475FF34 3 0.4426 0.6727 0.000 0.204 0.772 0.024
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.2345 0.9079 0.900 0.000 0.000 0.100
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0336 0.8519 0.000 0.992 0.008 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 3 0.4808 0.6601 0.000 0.236 0.736 0.028
#> B3527517-E339-46AE-8437-65303C309015 3 0.1389 0.7126 0.000 0.048 0.952 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0336 0.8519 0.000 0.992 0.008 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 3 0.7415 0.4682 0.000 0.236 0.516 0.248
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.4547 0.6944 0.000 0.104 0.804 0.092
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0336 0.8519 0.000 0.992 0.008 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9617 1.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 4 0.4609 0.6705 0.000 0.024 0.224 0.752
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0592 0.8506 0.000 0.984 0.016 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0592 0.6974 0.000 0.016 0.984 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.3763 0.6530 0.000 0.024 0.832 0.144
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.2345 0.9079 0.900 0.000 0.000 0.100
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0921 0.7034 0.000 0.028 0.972 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.4642 0.6512 0.000 0.740 0.240 0.020
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0524 0.8477 0.000 0.988 0.004 0.008
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.3401 0.7504 0.000 0.840 0.152 0.008
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9617 1.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.5213 0.4985 0.000 0.652 0.328 0.020
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0336 0.8519 0.000 0.992 0.008 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.2149 0.9161 0.912 0.000 0.000 0.088
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 3 0.5100 0.6633 0.000 0.168 0.756 0.076
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.9617 1.000 0.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0336 0.8519 0.000 0.992 0.008 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0188 0.9606 0.996 0.000 0.000 0.004
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0336 0.8450 0.000 0.992 0.000 0.008
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9617 1.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9617 1.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0336 0.8519 0.000 0.992 0.008 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0657 0.8511 0.000 0.984 0.012 0.004
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0188 0.9606 0.996 0.000 0.000 0.004
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0469 0.8445 0.000 0.988 0.000 0.012
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0336 0.8519 0.000 0.992 0.008 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.2124 0.8162 0.000 0.916 0.028 0.056 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0162 0.8307 0.000 0.996 0.004 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.8815 1.000 0.000 0.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 4 0.7072 0.6298 0.000 0.076 0.288 0.524 0.112
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.4890 0.4113 0.000 0.256 0.680 0.064 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.4479 0.4814 0.000 0.184 0.744 0.072 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.1364 0.5284 0.000 0.000 0.952 0.036 0.012
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.3177 0.8185 0.792 0.000 0.000 0.208 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.8815 1.000 0.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.4070 0.4339 0.000 0.004 0.728 0.012 0.256
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 5 0.1331 0.4936 0.040 0.000 0.000 0.008 0.952
#> 844E4CCD-D30C-416F-A086-8923711A4E25 5 0.4708 -0.1645 0.000 0.000 0.436 0.016 0.548
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 5 0.1331 0.4936 0.040 0.000 0.000 0.008 0.952
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.8815 1.000 0.000 0.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.1544 0.8707 0.932 0.000 0.000 0.068 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.2036 0.8176 0.000 0.920 0.024 0.056 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.3930 0.7162 0.000 0.792 0.056 0.152 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.3130 0.5611 0.000 0.096 0.856 0.048 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.6386 0.1004 0.000 0.480 0.340 0.180 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0404 0.8301 0.000 0.988 0.000 0.012 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0404 0.8299 0.000 0.988 0.000 0.012 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.8815 1.000 0.000 0.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0404 0.8299 0.000 0.988 0.000 0.012 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.3280 0.8314 0.812 0.000 0.000 0.176 0.012
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.6035 0.4482 0.000 0.580 0.204 0.216 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.2086 0.5435 0.000 0.020 0.924 0.048 0.008
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0162 0.8815 0.996 0.000 0.000 0.004 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.1270 0.8258 0.000 0.948 0.000 0.052 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.5009 0.7219 0.652 0.000 0.000 0.288 0.060
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 3 0.7519 -0.3503 0.000 0.084 0.428 0.352 0.136
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0566 0.8761 0.984 0.000 0.000 0.004 0.012
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.1364 0.5284 0.000 0.000 0.952 0.036 0.012
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 5 0.4876 0.4630 0.080 0.000 0.000 0.220 0.700
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.4017 0.8195 0.788 0.000 0.000 0.148 0.064
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.5314 0.6157 0.000 0.672 0.136 0.192 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 3 0.6420 -0.2574 0.000 0.004 0.532 0.208 0.256
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.5673 0.5662 0.000 0.628 0.156 0.216 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 5 0.3532 0.3683 0.000 0.000 0.076 0.092 0.832
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 4 0.7113 0.6306 0.000 0.072 0.292 0.516 0.120
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.3750 0.7993 0.756 0.000 0.000 0.232 0.012
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.4812 0.4812 0.000 0.020 0.736 0.052 0.192
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.8815 1.000 0.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0404 0.8301 0.000 0.988 0.000 0.012 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.4985 0.5006 0.000 0.680 0.244 0.076 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 3 0.5510 0.2940 0.000 0.208 0.648 0.144 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.4681 0.4282 0.000 0.084 0.728 0.188 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.3055 0.7831 0.000 0.864 0.072 0.064 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.3692 0.7210 0.000 0.812 0.136 0.052 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 3 0.7291 0.1495 0.000 0.308 0.464 0.180 0.048
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.3336 0.8084 0.772 0.000 0.000 0.228 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.2067 0.8168 0.000 0.920 0.032 0.048 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0290 0.8302 0.000 0.992 0.000 0.008 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.2179 0.8582 0.888 0.000 0.000 0.112 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.8815 1.000 0.000 0.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 4 0.6232 0.5050 0.000 0.024 0.388 0.508 0.080
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 3 0.5258 0.3000 0.000 0.104 0.664 0.232 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.8815 1.000 0.000 0.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 3 0.6569 0.2161 0.000 0.288 0.496 0.212 0.004
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.5555 0.5822 0.000 0.644 0.152 0.204 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.1430 0.8063 0.000 0.944 0.052 0.004 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.2248 0.7752 0.000 0.900 0.088 0.012 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.4714 0.3277 0.000 0.324 0.644 0.032 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0404 0.8306 0.000 0.988 0.000 0.012 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 3 0.6420 -0.2574 0.000 0.004 0.532 0.208 0.256
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.5687 0.5644 0.000 0.628 0.164 0.208 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0290 0.8302 0.000 0.992 0.000 0.008 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 5 0.4574 0.3820 0.000 0.000 0.012 0.412 0.576
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.2359 0.8108 0.000 0.904 0.036 0.060 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.8815 1.000 0.000 0.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.1341 0.8251 0.000 0.944 0.000 0.056 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.8815 1.000 0.000 0.000 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.4866 0.7327 0.664 0.000 0.000 0.284 0.052
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.4877 0.4743 0.000 0.020 0.728 0.052 0.200
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.4247 0.4351 0.000 0.056 0.792 0.136 0.016
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.5120 0.5714 0.000 0.684 0.212 0.104 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.8815 1.000 0.000 0.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.3248 0.7704 0.000 0.856 0.088 0.052 0.004
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 5 0.4090 0.1602 0.000 0.000 0.268 0.016 0.716
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.1549 0.8275 0.000 0.944 0.016 0.040 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.1764 0.5267 0.000 0.000 0.928 0.008 0.064
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0290 0.8302 0.000 0.992 0.000 0.008 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 5 0.4815 -0.2263 0.456 0.000 0.000 0.020 0.524
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.4364 0.5197 0.000 0.024 0.788 0.052 0.136
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.1341 0.8232 0.000 0.944 0.000 0.056 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.5009 0.7219 0.652 0.000 0.000 0.288 0.060
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 3 0.5740 0.2967 0.000 0.144 0.612 0.244 0.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.5540 0.4166 0.000 0.272 0.644 0.064 0.020
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 4 0.6821 0.3689 0.000 0.072 0.420 0.440 0.068
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.4204 0.5641 0.000 0.104 0.808 0.060 0.028
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.3748 0.5679 0.000 0.100 0.832 0.052 0.016
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.3736 0.5366 0.000 0.020 0.836 0.052 0.092
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.8815 1.000 0.000 0.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.6335 0.2823 0.000 0.520 0.276 0.204 0.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.4765 0.7706 0.704 0.000 0.000 0.228 0.068
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0609 0.8799 0.980 0.000 0.000 0.020 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.4812 0.4812 0.000 0.020 0.736 0.052 0.192
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.4909 0.4696 0.000 0.020 0.724 0.052 0.204
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.2722 0.8559 0.872 0.000 0.000 0.108 0.020
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.7690 -0.3356 0.000 0.332 0.300 0.320 0.048
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.8815 1.000 0.000 0.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 3 0.3355 0.4743 0.000 0.036 0.832 0.132 0.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.3435 0.5429 0.000 0.156 0.820 0.020 0.004
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.8815 1.000 0.000 0.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0404 0.8302 0.000 0.988 0.000 0.012 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.5277 0.7346 0.664 0.000 0.000 0.228 0.108
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#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.8815 1.000 0.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.8304 0.000 1.000 0.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0865 0.8308 0.000 0.972 0.004 0.024 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.1121 0.8762 0.956 0.000 0.000 0.044 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.1270 0.8243 0.000 0.948 0.000 0.052 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0290 0.8302 0.000 0.992 0.000 0.008 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.4117 0.70063 0.000 0.708 0.016 0.020 0.000 NA
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.1074 0.72555 0.000 0.960 0.012 0.028 0.000 NA
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.1700 0.90900 0.916 0.000 0.000 0.004 0.000 NA
#> 3182DEA1-4239-4613-925A-7E6503766AD6 4 0.6747 0.00903 0.000 0.068 0.160 0.480 0.288 NA
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 4 0.7075 0.30184 0.000 0.164 0.248 0.456 0.000 NA
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 4 0.7007 0.19407 0.000 0.124 0.308 0.432 0.000 NA
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.4004 0.59355 0.000 0.000 0.784 0.100 0.016 NA
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0713 0.91549 0.972 0.000 0.000 0.000 0.000 NA
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.1411 0.91233 0.936 0.000 0.000 0.004 0.000 NA
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.4428 0.58609 0.000 0.004 0.764 0.036 0.068 NA
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 5 0.3883 0.52267 0.000 0.000 0.012 0.000 0.656 NA
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.6099 0.18742 0.000 0.000 0.540 0.032 0.260 NA
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 5 0.3883 0.52267 0.000 0.000 0.012 0.000 0.656 NA
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.1588 0.91085 0.924 0.000 0.000 0.004 0.000 NA
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0547 0.91769 0.980 0.000 0.000 0.000 0.000 NA
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.4406 0.69478 0.000 0.692 0.016 0.036 0.000 NA
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.3862 0.32106 0.000 0.608 0.004 0.388 0.000 NA
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.6679 0.26686 0.000 0.116 0.504 0.264 0.000 NA
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.4704 0.55282 0.000 0.236 0.100 0.664 0.000 NA
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0603 0.72996 0.000 0.980 0.000 0.016 0.000 NA
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.1501 0.70111 0.000 0.924 0.000 0.076 0.000 NA
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0891 0.91647 0.968 0.000 0.000 0.000 0.008 NA
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.1814 0.68993 0.000 0.900 0.000 0.100 0.000 NA
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.1838 0.90553 0.916 0.000 0.000 0.000 0.016 NA
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.4736 0.43186 0.000 0.312 0.060 0.624 0.000 NA
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.4040 0.60926 0.000 0.012 0.772 0.140 0.000 NA
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.91712 1.000 0.000 0.000 0.000 0.000 NA
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.2494 0.73393 0.000 0.864 0.000 0.016 0.000 NA
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.2778 0.83877 0.824 0.000 0.000 0.008 0.000 NA
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 4 0.6239 0.38977 0.000 0.028 0.188 0.532 0.248 NA
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.2408 0.90815 0.876 0.000 0.000 0.004 0.012 NA
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.4050 0.58806 0.000 0.000 0.776 0.108 0.012 NA
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 5 0.3743 0.56701 0.028 0.000 0.000 0.024 0.788 NA
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.3175 0.84332 0.832 0.000 0.000 0.000 0.080 NA
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.3874 0.35942 0.000 0.636 0.000 0.356 0.000 NA
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 3 0.6232 -0.06224 0.000 0.000 0.372 0.320 0.304 NA
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 4 0.5855 -0.15815 0.000 0.408 0.008 0.436 0.000 NA
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 5 0.6903 0.43889 0.000 0.000 0.236 0.112 0.484 NA
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 4 0.6711 -0.18190 0.000 0.056 0.160 0.448 0.332 NA
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.1196 0.91051 0.952 0.000 0.000 0.000 0.008 NA
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.3464 0.62445 0.000 0.016 0.812 0.032 0.000 NA
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.1267 0.91319 0.940 0.000 0.000 0.000 0.000 NA
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0547 0.72803 0.000 0.980 0.000 0.020 0.000 NA
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.6334 0.51258 0.000 0.612 0.092 0.124 0.016 NA
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 4 0.5748 0.41950 0.000 0.176 0.360 0.464 0.000 NA
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.5057 0.12139 0.000 0.044 0.412 0.528 0.016 NA
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.4692 0.69104 0.000 0.684 0.024 0.024 0.012 NA
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.4833 0.67240 0.000 0.668 0.044 0.032 0.000 NA
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 4 0.5725 0.54854 0.000 0.152 0.172 0.636 0.032 NA
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.1333 0.90938 0.944 0.000 0.000 0.000 0.008 NA
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.4427 0.69347 0.000 0.692 0.024 0.028 0.000 NA
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0713 0.72545 0.000 0.972 0.000 0.028 0.000 NA
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.1124 0.91188 0.956 0.000 0.000 0.000 0.008 NA
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.1471 0.91200 0.932 0.000 0.000 0.004 0.000 NA
#> C1113977-B160-45EE-B061-750F9EA3F33F 4 0.6076 -0.02223 0.000 0.016 0.216 0.512 0.256 NA
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 4 0.4400 0.47072 0.000 0.068 0.248 0.684 0.000 NA
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.1531 0.91164 0.928 0.000 0.000 0.004 0.000 NA
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 4 0.5971 0.52588 0.000 0.216 0.216 0.548 0.000 NA
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.4561 0.08471 0.000 0.508 0.008 0.464 0.000 NA
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.3259 0.55967 0.000 0.772 0.012 0.216 0.000 NA
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.5204 0.17629 0.000 0.524 0.056 0.404 0.000 NA
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.7060 -0.14099 0.000 0.224 0.368 0.332 0.000 NA
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.2030 0.71974 0.000 0.908 0.000 0.064 0.000 NA
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 3 0.6073 -0.02443 0.000 0.000 0.400 0.284 0.316 NA
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.5603 0.27516 0.000 0.476 0.000 0.376 0.000 NA
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0632 0.72651 0.000 0.976 0.000 0.024 0.000 NA
#> CF629C65-585D-476D-B081-3E6E0575FAE3 5 0.5143 0.62625 0.000 0.000 0.148 0.212 0.636 NA
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.4199 0.69768 0.000 0.704 0.020 0.020 0.000 NA
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.1843 0.91468 0.912 0.000 0.000 0.004 0.004 NA
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.4284 0.70085 0.000 0.688 0.000 0.056 0.000 NA
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0291 0.91723 0.992 0.000 0.000 0.000 0.004 NA
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.2402 0.86343 0.856 0.000 0.000 0.004 0.000 NA
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.3429 0.62228 0.000 0.016 0.812 0.028 0.000 NA
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.5139 0.21001 0.000 0.032 0.616 0.312 0.032 NA
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 4 0.5443 0.28872 0.000 0.384 0.108 0.504 0.000 NA
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.1141 0.91494 0.948 0.000 0.000 0.000 0.000 NA
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.4117 0.70114 0.000 0.708 0.016 0.020 0.000 NA
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.6034 0.06209 0.000 0.000 0.500 0.024 0.332 NA
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.4186 0.70414 0.000 0.728 0.000 0.080 0.000 NA
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.2308 0.62538 0.000 0.000 0.892 0.040 0.068 NA
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0458 0.72893 0.000 0.984 0.000 0.016 0.000 NA
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 5 0.5903 0.41374 0.220 0.000 0.000 0.000 0.452 NA
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.3847 0.61507 0.000 0.060 0.808 0.040 0.000 NA
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.3606 0.70932 0.000 0.728 0.000 0.016 0.000 NA
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.3087 0.82825 0.808 0.000 0.000 0.012 0.004 NA
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 4 0.4030 0.52867 0.000 0.080 0.172 0.748 0.000 NA
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.5795 -0.03012 0.000 0.284 0.496 0.220 0.000 NA
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 4 0.5675 0.10599 0.000 0.032 0.108 0.588 0.272 NA
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.5315 0.33631 0.000 0.096 0.588 0.304 0.012 NA
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.3650 0.55608 0.000 0.116 0.792 0.092 0.000 NA
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.2345 0.63663 0.000 0.016 0.896 0.072 0.000 NA
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.1700 0.90900 0.916 0.000 0.000 0.004 0.000 NA
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 4 0.4258 0.56072 0.000 0.204 0.068 0.724 0.000 NA
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.2560 0.88006 0.872 0.000 0.000 0.000 0.036 NA
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0260 0.91720 0.992 0.000 0.000 0.000 0.000 NA
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.3464 0.62445 0.000 0.016 0.812 0.032 0.000 NA
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.3078 0.63312 0.000 0.016 0.848 0.020 0.004 NA
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.2106 0.89523 0.904 0.000 0.000 0.000 0.064 NA
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 4 0.6424 0.43440 0.000 0.300 0.088 0.520 0.088 NA
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.1644 0.91016 0.920 0.000 0.000 0.004 0.000 NA
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 3 0.4253 0.21443 0.000 0.008 0.608 0.372 0.000 NA
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.5788 0.39062 0.000 0.152 0.624 0.172 0.000 NA
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.1411 0.91233 0.936 0.000 0.000 0.004 0.000 NA
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.2805 0.72940 0.000 0.828 0.000 0.012 0.000 NA
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.4464 0.71281 0.712 0.000 0.000 0.000 0.140 NA
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.6372 0.20006 0.000 0.196 0.548 0.192 0.064 NA
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 4 0.5308 0.51446 0.000 0.272 0.100 0.612 0.000 NA
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.91712 1.000 0.000 0.000 0.000 0.000 NA
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 3 0.4240 0.55725 0.000 0.000 0.736 0.124 0.000 NA
#> E769E41D-5949-42C5-9594-E563C05ACE52 4 0.7165 0.30984 0.000 0.320 0.184 0.388 0.000 NA
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.1779 0.63729 0.000 0.016 0.920 0.064 0.000 NA
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.1700 0.90900 0.916 0.000 0.000 0.004 0.000 NA
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0260 0.91786 0.992 0.000 0.000 0.000 0.000 NA
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.1007 0.91612 0.956 0.000 0.000 0.000 0.000 NA
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 4 0.5843 0.46303 0.000 0.184 0.232 0.568 0.012 NA
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.3570 0.61885 0.000 0.016 0.808 0.028 0.004 NA
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 4 0.6188 0.42499 0.000 0.136 0.324 0.508 0.008 NA
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.5870 0.21608 0.000 0.448 0.008 0.392 0.000 NA
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.6075 0.62400 0.000 0.608 0.044 0.076 0.032 NA
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.3510 0.62477 0.000 0.020 0.812 0.032 0.000 NA
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 4 0.5785 0.50136 0.000 0.284 0.192 0.520 0.004 NA
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.4508 0.54368 0.000 0.000 0.740 0.020 0.104 NA
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 4 0.7097 0.32022 0.000 0.288 0.220 0.404 0.000 NA
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.3470 0.71230 0.000 0.740 0.000 0.012 0.000 NA
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 4 0.5859 0.45239 0.000 0.208 0.332 0.460 0.000 NA
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.4844 0.67984 0.000 0.672 0.032 0.036 0.004 NA
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.1970 0.69830 0.000 0.900 0.000 0.092 0.000 NA
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.3262 0.63746 0.000 0.012 0.840 0.080 0.000 NA
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.3390 0.80741 0.780 0.000 0.000 0.012 0.008 NA
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 4 0.6369 0.21507 0.000 0.068 0.300 0.512 0.000 NA
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.5110 0.48294 0.000 0.000 0.696 0.040 0.132 NA
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.1531 0.91164 0.928 0.000 0.000 0.004 0.000 NA
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 4 0.4969 0.34211 0.000 0.036 0.392 0.556 0.008 NA
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 5 0.5420 0.58077 0.000 0.000 0.172 0.256 0.572 NA
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.2573 0.87672 0.864 0.000 0.000 0.000 0.024 NA
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.5870 0.21976 0.000 0.448 0.008 0.392 0.000 NA
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.3259 0.72158 0.000 0.772 0.000 0.012 0.000 NA
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.1349 0.91723 0.940 0.000 0.000 0.004 0.000 NA
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.4703 0.68752 0.000 0.684 0.016 0.064 0.000 NA
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0790 0.91743 0.968 0.000 0.000 0.000 0.000 NA
#> E0961A30-A62C-4235-9CF0-A1776827A996 4 0.4684 0.32632 0.000 0.040 0.348 0.604 0.000 NA
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 4 0.4499 0.56181 0.000 0.216 0.072 0.704 0.000 NA
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 5 0.5752 0.39825 0.000 0.000 0.288 0.184 0.524 NA
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 4 0.4538 0.40836 0.000 0.052 0.324 0.624 0.000 NA
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.1462 0.91162 0.936 0.000 0.000 0.000 0.008 NA
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0632 0.91969 0.976 0.000 0.000 0.000 0.000 NA
#> 903BF591-B0AF-4BEE-B625-60B673070344 4 0.4345 0.56497 0.000 0.176 0.092 0.728 0.000 NA
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0547 0.72803 0.000 0.980 0.000 0.020 0.000 NA
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.5357 0.21517 0.000 0.180 0.588 0.232 0.000 NA
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0603 0.72982 0.000 0.980 0.000 0.016 0.000 NA
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.4749 0.29511 0.000 0.000 0.668 0.036 0.264 NA
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.1411 0.91233 0.936 0.000 0.000 0.004 0.000 NA
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0458 0.72874 0.000 0.984 0.000 0.016 0.000 NA
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.3852 0.78138 0.760 0.000 0.000 0.000 0.064 NA
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.3566 0.81126 0.800 0.000 0.000 0.000 0.096 NA
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.5752 0.29889 0.000 0.492 0.008 0.360 0.000 NA
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.2955 0.83594 0.816 0.000 0.000 0.004 0.008 NA
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 4 0.7127 0.31662 0.000 0.272 0.240 0.400 0.000 NA
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.4089 0.44432 0.000 0.696 0.040 0.264 0.000 NA
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.5254 0.57782 0.000 0.608 0.000 0.196 0.000 NA
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 5 0.5156 0.62115 0.000 0.000 0.152 0.232 0.616 NA
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0865 0.91991 0.964 0.000 0.000 0.000 0.000 NA
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.1471 0.91222 0.932 0.000 0.000 0.004 0.000 NA
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 4 0.6140 -0.07298 0.000 0.028 0.404 0.432 0.000 NA
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.2783 0.60760 0.000 0.016 0.836 0.148 0.000 NA
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.1556 0.90048 0.920 0.000 0.000 0.000 0.000 NA
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.2112 0.89333 0.896 0.000 0.000 0.000 0.016 NA
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#> 02475D11-FC81-4E88-944E-173C32DC3FE7 5 0.5143 0.62625 0.000 0.000 0.148 0.212 0.636 NA
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.3197 0.82485 0.804 0.000 0.000 0.012 0.008 NA
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#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.1411 0.91233 0.936 0.000 0.000 0.004 0.000 NA
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.3665 0.70782 0.000 0.728 0.000 0.020 0.000 NA
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0458 0.72885 0.000 0.984 0.000 0.016 0.000 NA
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.4358 0.59745 0.000 0.012 0.744 0.148 0.000 NA
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.2632 0.84771 0.832 0.000 0.000 0.004 0.000 NA
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.7123 -0.20816 0.000 0.388 0.196 0.320 0.000 NA
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0790 0.91477 0.968 0.000 0.000 0.000 0.000 NA
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.4412 0.21089 0.000 0.572 0.008 0.404 0.000 NA
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0937 0.91292 0.960 0.000 0.000 0.000 0.000 NA
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.3635 0.62507 0.000 0.016 0.812 0.032 0.008 NA
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0458 0.73013 0.000 0.984 0.000 0.016 0.000 NA
#> 30346897-EC77-4153-88A2-D14593C8B741 4 0.7073 0.07217 0.000 0.152 0.368 0.368 0.000 NA
#> 0F00E267-C748-4A71-8B36-03C410641D88 4 0.6275 0.15185 0.000 0.048 0.320 0.500 0.000 NA
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0713 0.72545 0.000 0.972 0.000 0.028 0.000 NA
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.3817 0.70948 0.000 0.720 0.000 0.028 0.000 NA
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.1531 0.91160 0.928 0.000 0.000 0.004 0.000 NA
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.1411 0.91233 0.936 0.000 0.000 0.004 0.000 NA
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.3713 0.71674 0.000 0.744 0.000 0.032 0.000 NA
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.3420 0.80326 0.776 0.000 0.000 0.012 0.008 NA
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 3 0.6610 -0.35619 0.000 0.256 0.360 0.356 0.000 NA
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.2743 0.84197 0.828 0.000 0.000 0.008 0.000 NA
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.4648 0.29286 0.000 0.604 0.056 0.340 0.000 NA
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.3190 0.63810 0.000 0.016 0.848 0.068 0.000 NA
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.3979 0.59504 0.000 0.016 0.772 0.160 0.000 NA
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.91712 1.000 0.000 0.000 0.000 0.000 NA
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.5867 0.23104 0.000 0.452 0.008 0.388 0.000 NA
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0717 0.73380 0.000 0.976 0.000 0.008 0.000 NA
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.2930 0.70464 0.000 0.840 0.000 0.124 0.000 NA
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.3911 0.70605 0.000 0.712 0.000 0.032 0.000 NA
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.3667 0.53978 0.000 0.132 0.788 0.080 0.000 NA
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 4 0.5524 0.50165 0.000 0.248 0.136 0.600 0.000 NA
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.1531 0.91160 0.928 0.000 0.000 0.004 0.000 NA
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.91712 1.000 0.000 0.000 0.000 0.000 NA
#> A2792419-8E16-45FE-A524-17851F34AB9B 4 0.4622 0.22705 0.000 0.012 0.432 0.536 0.000 NA
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.6192 0.54259 0.000 0.600 0.060 0.156 0.008 NA
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.6840 -0.01947 0.000 0.160 0.424 0.336 0.000 NA
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 4 0.6028 0.38451 0.000 0.084 0.312 0.540 0.064 NA
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 5 0.5639 0.36381 0.252 0.000 0.000 0.000 0.536 NA
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 5 0.5342 0.61808 0.000 0.000 0.156 0.236 0.604 NA
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.3420 0.80326 0.776 0.000 0.000 0.012 0.008 NA
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.1700 0.91000 0.916 0.000 0.000 0.004 0.000 NA
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 4 0.6028 0.56391 0.000 0.196 0.152 0.600 0.048 NA
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.4970 0.22698 0.000 0.580 0.084 0.336 0.000 NA
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.3688 0.70596 0.000 0.724 0.000 0.020 0.000 NA
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.1411 0.91233 0.936 0.000 0.000 0.004 0.000 NA
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.5213 0.24006 0.000 0.024 0.544 0.384 0.000 NA
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 4 0.4961 0.33653 0.000 0.368 0.064 0.564 0.004 NA
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.5825 0.21125 0.460 0.000 0.000 0.000 0.344 NA
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0858 0.73581 0.000 0.968 0.000 0.004 0.000 NA
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0820 0.73164 0.000 0.972 0.000 0.016 0.000 NA
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.1411 0.91233 0.936 0.000 0.000 0.004 0.000 NA
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0937 0.91685 0.960 0.000 0.000 0.000 0.000 NA
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.3322 0.63039 0.000 0.044 0.848 0.076 0.004 NA
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0717 0.91599 0.976 0.000 0.000 0.000 0.008 NA
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.4488 0.04978 0.000 0.508 0.008 0.468 0.000 NA
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.5823 0.35170 0.000 0.044 0.552 0.316 0.088 NA
#> CAE8097F-A139-4C6E-9E30-35080475FF34 4 0.5068 0.23960 0.000 0.032 0.448 0.500 0.012 NA
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.2558 0.85389 0.840 0.000 0.000 0.004 0.000 NA
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0547 0.72803 0.000 0.980 0.000 0.020 0.000 NA
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 4 0.4563 0.55443 0.000 0.136 0.164 0.700 0.000 NA
#> B3527517-E339-46AE-8437-65303C309015 3 0.4060 0.57528 0.000 0.000 0.764 0.112 0.004 NA
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0622 0.72934 0.000 0.980 0.008 0.012 0.000 NA
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 4 0.6043 0.44619 0.000 0.060 0.204 0.604 0.128 NA
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.4102 0.34901 0.000 0.004 0.628 0.356 0.012 NA
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0458 0.72874 0.000 0.984 0.000 0.016 0.000 NA
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.1674 0.91255 0.924 0.000 0.000 0.004 0.004 NA
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 5 0.5383 0.58810 0.000 0.000 0.172 0.248 0.580 NA
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.2597 0.60810 0.000 0.824 0.000 0.176 0.000 NA
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.2644 0.62397 0.000 0.000 0.880 0.052 0.008 NA
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.3377 0.63193 0.000 0.016 0.828 0.112 0.044 NA
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.2743 0.84479 0.828 0.000 0.000 0.008 0.000 NA
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.3324 0.61001 0.000 0.000 0.832 0.084 0.008 NA
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.5615 0.11777 0.000 0.488 0.044 0.416 0.000 NA
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.3606 0.70787 0.000 0.728 0.000 0.016 0.000 NA
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.2003 0.67362 0.000 0.884 0.000 0.116 0.000 NA
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.1700 0.90900 0.916 0.000 0.000 0.004 0.000 NA
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 4 0.4591 0.08994 0.000 0.464 0.036 0.500 0.000 NA
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0713 0.72545 0.000 0.972 0.000 0.028 0.000 NA
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.2361 0.88727 0.884 0.000 0.000 0.000 0.028 NA
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 3 0.6521 0.04330 0.000 0.016 0.436 0.308 0.232 NA
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0458 0.91672 0.984 0.000 0.000 0.000 0.000 NA
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0547 0.72803 0.000 0.980 0.000 0.020 0.000 NA
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0363 0.91737 0.988 0.000 0.000 0.000 0.000 NA
#> CE91F591-6072-4D29-9495-C78961635969 2 0.3483 0.71490 0.000 0.748 0.000 0.016 0.000 NA
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.1700 0.90900 0.916 0.000 0.000 0.004 0.000 NA
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.1700 0.90900 0.916 0.000 0.000 0.004 0.000 NA
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0458 0.72953 0.000 0.984 0.000 0.016 0.000 NA
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.5123 0.65414 0.000 0.616 0.000 0.140 0.000 NA
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0806 0.91504 0.972 0.000 0.000 0.000 0.008 NA
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.3665 0.70809 0.000 0.728 0.000 0.020 0.000 NA
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0632 0.72651 0.000 0.976 0.000 0.024 0.000 NA
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17288 rows and 266 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 1.000 0.984 0.994 0.4437 0.556 0.556
#> 3 3 0.880 0.912 0.960 0.3220 0.856 0.745
#> 4 4 0.784 0.820 0.910 0.1272 0.842 0.656
#> 5 5 0.742 0.743 0.861 0.0868 0.969 0.910
#> 6 6 0.762 0.730 0.833 0.0576 0.925 0.769
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.000 0.9967 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.000 0.9967 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.000 0.9881 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.000 0.9967 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.000 0.9967 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.000 0.9967 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.000 0.9967 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.000 0.9881 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.000 0.9881 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.000 0.9967 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.000 0.9881 1.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.430 0.8996 0.088 0.912
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.000 0.9881 1.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.000 0.9881 1.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.000 0.9881 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.000 0.9967 0.000 1.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.000 0.9967 0.000 1.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.000 0.9967 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.000 0.9967 0.000 1.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.000 0.9967 0.000 1.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.000 0.9967 0.000 1.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.000 0.9881 1.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.000 0.9967 0.000 1.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.000 0.9881 1.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.000 0.9967 0.000 1.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.000 0.9967 0.000 1.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.000 0.9881 1.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.000 0.9967 0.000 1.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.000 0.9881 1.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.000 0.9967 0.000 1.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.000 0.9881 1.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.000 0.9967 0.000 1.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.000 0.9881 1.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.000 0.9881 1.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.000 0.9967 0.000 1.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.000 0.9967 0.000 1.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.000 0.9967 0.000 1.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 1 0.644 0.8034 0.836 0.164
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.000 0.9967 0.000 1.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.000 0.9881 1.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.000 0.9967 0.000 1.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.000 0.9881 1.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.000 0.9967 0.000 1.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.000 0.9967 0.000 1.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.000 0.9967 0.000 1.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.000 0.9967 0.000 1.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.000 0.9967 0.000 1.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.000 0.9967 0.000 1.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.000 0.9967 0.000 1.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.000 0.9881 1.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.000 0.9967 0.000 1.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.000 0.9967 0.000 1.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.000 0.9881 1.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.000 0.9881 1.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.000 0.9967 0.000 1.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.000 0.9967 0.000 1.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.000 0.9881 1.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.000 0.9967 0.000 1.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.000 0.9967 0.000 1.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.000 0.9967 0.000 1.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.000 0.9967 0.000 1.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.000 0.9967 0.000 1.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.000 0.9967 0.000 1.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.000 0.9967 0.000 1.000
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.000 0.9967 0.000 1.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.000 0.9967 0.000 1.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 1 0.584 0.8352 0.860 0.140
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.000 0.9967 0.000 1.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.000 0.9881 1.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.000 0.9967 0.000 1.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.000 0.9881 1.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.000 0.9881 1.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.000 0.9967 0.000 1.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.000 0.9967 0.000 1.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.000 0.9967 0.000 1.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.000 0.9881 1.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.000 0.9967 0.000 1.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 1 0.861 0.6086 0.716 0.284
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.000 0.9967 0.000 1.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 2 0.000 0.9967 0.000 1.000
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.000 0.9967 0.000 1.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.000 0.9881 1.000 0.000
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.000 0.9967 0.000 1.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.000 0.9967 0.000 1.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.000 0.9881 1.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.000 0.9967 0.000 1.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.000 0.9967 0.000 1.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.000 0.9967 0.000 1.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.000 0.9967 0.000 1.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.000 0.9967 0.000 1.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0.000 0.9967 0.000 1.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.000 0.9881 1.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.000 0.9967 0.000 1.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.000 0.9881 1.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.000 0.9881 1.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.000 0.9967 0.000 1.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0.000 0.9967 0.000 1.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.000 0.9881 1.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.000 0.9967 0.000 1.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.000 0.9881 1.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.000 0.9967 0.000 1.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.000 0.9967 0.000 1.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.000 0.9881 1.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.000 0.9967 0.000 1.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.000 0.9881 1.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.000 0.9967 0.000 1.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.000 0.9967 0.000 1.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.000 0.9881 1.000 0.000
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#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0.000 0.9967 0.000 1.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.000 0.9881 1.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.000 0.9881 1.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.000 0.9881 1.000 0.000
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#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.000 0.9967 0.000 1.000
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.000 0.9967 0.000 1.000
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#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.000 0.9881 1.000 0.000
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#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0.000 0.9967 0.000 1.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.000 0.9881 1.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.000 0.9881 1.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.000 0.9967 0.000 1.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.000 0.9967 0.000 1.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.000 0.9967 0.000 1.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.000 0.9881 1.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.000 0.9967 0.000 1.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.000 0.9881 1.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.000 0.9967 0.000 1.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.000 0.9881 1.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.000 0.9967 0.000 1.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.000 0.9967 0.000 1.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.000 0.9967 0.000 1.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.000 0.9967 0.000 1.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.000 0.9967 0.000 1.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.000 0.9967 0.000 1.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.000 0.9881 1.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.000 0.9881 1.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.000 0.9967 0.000 1.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.000 0.9881 1.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.000 0.9967 0.000 1.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.000 0.9881 1.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.000 0.9967 0.000 1.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.000 0.9967 0.000 1.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.000 0.9967 0.000 1.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.000 0.9881 1.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.000 0.9967 0.000 1.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.000 0.9967 0.000 1.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.000 0.9967 0.000 1.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.000 0.9967 0.000 1.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.000 0.9967 0.000 1.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.000 0.9967 0.000 1.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.000 0.9881 1.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.000 0.9881 1.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.000 0.9967 0.000 1.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.000 0.9967 0.000 1.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.000 0.9967 0.000 1.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.000 0.9967 0.000 1.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.000 0.9881 1.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.000 0.9967 0.000 1.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.000 0.9881 1.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.000 0.9881 1.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.000 0.9967 0.000 1.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.000 0.9967 0.000 1.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.000 0.9967 0.000 1.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.000 0.9881 1.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.000 0.9967 0.000 1.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.000 0.9967 0.000 1.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.000 0.9881 1.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.000 0.9967 0.000 1.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.000 0.9967 0.000 1.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.000 0.9881 1.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.000 0.9881 1.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.000 0.9967 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.000 0.9881 1.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.000 0.9967 0.000 1.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.000 0.9967 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.000 0.9967 0.000 1.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.000 0.9881 1.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.000 0.9967 0.000 1.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.000 0.9967 0.000 1.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.000 0.9967 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.000 0.9967 0.000 1.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.000 0.9967 0.000 1.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.000 0.9967 0.000 1.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.000 0.9967 0.000 1.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.000 0.9881 1.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.000 0.9967 0.000 1.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.000 0.9967 0.000 1.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.000 0.9967 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.000 0.9967 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.000 0.9881 1.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.000 0.9967 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.000 0.9967 0.000 1.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.000 0.9967 0.000 1.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.000 0.9967 0.000 1.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.000 0.9881 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.000 0.9967 0.000 1.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.000 0.9967 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.000 0.9881 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.000 0.9967 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.000 0.9881 1.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.000 0.9967 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.000 0.9881 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.000 0.9967 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.000 0.9881 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.000 0.9881 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.000 0.9967 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.000 0.9967 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.000 0.9881 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.000 0.9967 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.000 0.9967 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.9452 0.000 1.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.9452 0.000 1.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9913 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0237 0.9438 0.000 0.996 0.004
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.4346 0.7938 0.000 0.816 0.184
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.4504 0.7819 0.000 0.804 0.196
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.3192 0.8311 0.000 0.112 0.888
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.9913 1.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9913 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0237 0.9171 0.000 0.004 0.996
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 3 0.4062 0.7465 0.164 0.000 0.836
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0237 0.9171 0.000 0.004 0.996
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 3 0.4504 0.7023 0.196 0.000 0.804
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9913 1.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9913 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.9452 0.000 1.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.9452 0.000 1.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.4887 0.7443 0.000 0.772 0.228
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0000 0.9452 0.000 1.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.9452 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.9452 0.000 1.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.9913 1.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.9452 0.000 1.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.9913 1.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0000 0.9452 0.000 1.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.3941 0.7789 0.000 0.156 0.844
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.9913 1.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.9452 0.000 1.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.9913 1.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.9452 0.000 1.000 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.9913 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.6295 0.2062 0.000 0.528 0.472
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 0.9913 1.000 0.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.9913 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.9452 0.000 1.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.0000 0.9452 0.000 1.000 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0237 0.9438 0.000 0.996 0.004
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.0237 0.9127 0.004 0.000 0.996
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.0000 0.9452 0.000 1.000 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.9913 1.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0237 0.9171 0.000 0.004 0.996
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9913 1.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0237 0.9431 0.000 0.996 0.004
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0237 0.9438 0.000 0.996 0.004
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0000 0.9452 0.000 1.000 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.1289 0.9271 0.000 0.968 0.032
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.9452 0.000 1.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.9452 0.000 1.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.0000 0.9452 0.000 1.000 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.9913 1.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.9452 0.000 1.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0237 0.9431 0.000 0.996 0.004
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.9913 1.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.9913 1.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.4555 0.7781 0.000 0.800 0.200
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.0000 0.9452 0.000 1.000 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.9913 1.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0592 0.9398 0.000 0.988 0.012
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0000 0.9452 0.000 1.000 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.9452 0.000 1.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.9452 0.000 1.000 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.4654 0.7688 0.000 0.792 0.208
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.9452 0.000 1.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.0747 0.9374 0.000 0.984 0.016
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0000 0.9452 0.000 1.000 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0237 0.9431 0.000 0.996 0.004
#> CF629C65-585D-476D-B081-3E6E0575FAE3 1 0.0747 0.9678 0.984 0.016 0.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.9452 0.000 1.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.9913 1.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.9452 0.000 1.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.9913 1.000 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.9913 1.000 0.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.0237 0.9171 0.000 0.004 0.996
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.0592 0.9399 0.000 0.988 0.012
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.0000 0.9452 0.000 1.000 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.9913 1.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0237 0.9438 0.000 0.996 0.004
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.0237 0.9171 0.000 0.004 0.996
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0237 0.9438 0.000 0.996 0.004
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.0237 0.9171 0.000 0.004 0.996
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0237 0.9431 0.000 0.996 0.004
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 3 0.6260 0.1736 0.448 0.000 0.552
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.0237 0.9171 0.000 0.004 0.996
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.9452 0.000 1.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 0.9913 1.000 0.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.0000 0.9452 0.000 1.000 0.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.4887 0.7445 0.000 0.772 0.228
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.0000 0.9452 0.000 1.000 0.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.5216 0.6983 0.000 0.740 0.260
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cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.3937 0.719 0.000 0.800 0.012 0.188
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.4543 0.632 0.000 0.324 0.676 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.4382 0.651 0.000 0.296 0.704 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.3216 0.650 0.000 0.076 0.880 0.044
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0336 0.985 0.992 0.000 0.000 0.008
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.2149 0.566 0.000 0.000 0.912 0.088
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 4 0.4122 0.904 0.004 0.000 0.236 0.760
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.3486 0.431 0.000 0.000 0.812 0.188
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 4 0.4122 0.904 0.004 0.000 0.236 0.760
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.2021 0.892 0.000 0.936 0.040 0.024
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.3149 0.641 0.000 0.088 0.880 0.032
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0895 0.915 0.000 0.976 0.004 0.020
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0336 0.922 0.000 0.992 0.000 0.008
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0707 0.982 0.980 0.000 0.000 0.020
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0336 0.920 0.000 0.992 0.008 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.2002 0.623 0.000 0.020 0.936 0.044
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0336 0.985 0.992 0.000 0.000 0.008
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.986 1.000 0.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.2363 0.881 0.000 0.920 0.056 0.024
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.4462 0.668 0.000 0.164 0.792 0.044
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0707 0.982 0.980 0.000 0.000 0.020
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.3219 0.730 0.000 0.836 0.164 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.4237 0.772 0.000 0.808 0.152 0.040
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.3024 0.761 0.000 0.852 0.148 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 4 0.4008 0.900 0.000 0.000 0.244 0.756
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.0336 0.920 0.000 0.992 0.008 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0707 0.982 0.980 0.000 0.000 0.020
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.2011 0.573 0.000 0.000 0.920 0.080
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0188 0.923 0.000 0.996 0.004 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.3149 0.849 0.000 0.880 0.088 0.032
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.4605 0.617 0.000 0.336 0.664 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.1389 0.893 0.000 0.952 0.000 0.048
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.2363 0.881 0.000 0.920 0.056 0.024
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0817 0.980 0.976 0.000 0.000 0.024
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0336 0.985 0.992 0.000 0.000 0.008
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.2635 0.854 0.000 0.904 0.076 0.020
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.4290 0.759 0.000 0.800 0.164 0.036
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0707 0.982 0.980 0.000 0.000 0.020
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.2742 0.866 0.000 0.900 0.076 0.024
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.3311 0.726 0.000 0.828 0.172 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.2282 0.884 0.000 0.924 0.052 0.024
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.2111 0.889 0.000 0.932 0.044 0.024
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.4304 0.657 0.000 0.284 0.716 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0336 0.922 0.000 0.992 0.000 0.008
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.4679 0.722 0.000 0.772 0.184 0.044
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 3 0.5000 0.348 0.000 0.496 0.504 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 1 0.1284 0.953 0.964 0.012 0.024 0.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0336 0.922 0.000 0.992 0.000 0.008
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0469 0.984 0.988 0.000 0.000 0.012
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0336 0.985 0.992 0.000 0.000 0.008
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.2469 0.552 0.000 0.000 0.892 0.108
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.5980 0.429 0.000 0.396 0.560 0.044
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.2363 0.881 0.000 0.920 0.056 0.024
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.986 1.000 0.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.4382 0.152 0.000 0.000 0.704 0.296
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.2589 0.534 0.000 0.000 0.884 0.116
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 4 0.4501 0.886 0.024 0.000 0.212 0.764
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.2345 0.560 0.000 0.000 0.900 0.100
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0707 0.982 0.980 0.000 0.000 0.020
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.4801 0.583 0.000 0.188 0.764 0.048
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 3 0.5105 0.511 0.000 0.432 0.564 0.004
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.3810 0.676 0.000 0.188 0.804 0.008
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.1807 0.598 0.000 0.008 0.940 0.052
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.1211 0.596 0.000 0.000 0.960 0.040
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.1118 0.972 0.964 0.000 0.000 0.036
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.2011 0.573 0.000 0.000 0.920 0.080
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.2081 0.573 0.000 0.000 0.916 0.084
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0469 0.984 0.988 0.000 0.000 0.012
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 3 0.5188 0.631 0.000 0.240 0.716 0.044
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.2363 0.608 0.000 0.024 0.920 0.056
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0707 0.982 0.980 0.000 0.000 0.020
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 4 0.7436 0.465 0.000 0.172 0.384 0.444
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 3 0.4744 0.654 0.000 0.240 0.736 0.024
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 3 0.4761 0.664 0.000 0.192 0.764 0.044
#> E769E41D-5949-42C5-9594-E563C05ACE52 3 0.4454 0.643 0.000 0.308 0.692 0.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.0188 0.606 0.000 0.000 0.996 0.004
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0707 0.982 0.980 0.000 0.000 0.020
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.4718 0.659 0.000 0.280 0.708 0.012
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.2589 0.538 0.000 0.000 0.884 0.116
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.4123 0.789 0.000 0.820 0.136 0.044
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.4994 -0.286 0.000 0.520 0.480 0.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.2011 0.573 0.000 0.000 0.920 0.080
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.2021 0.892 0.000 0.936 0.040 0.024
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.4830 -0.205 0.000 0.000 0.608 0.392
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 3 0.4406 0.648 0.000 0.300 0.700 0.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.2596 0.872 0.000 0.908 0.068 0.024
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0592 0.919 0.000 0.984 0.000 0.016
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.0817 0.604 0.000 0.000 0.976 0.024
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0592 0.979 0.984 0.000 0.000 0.016
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 3 0.4406 0.648 0.000 0.300 0.700 0.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.2704 0.528 0.000 0.000 0.876 0.124
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.5282 0.562 0.000 0.688 0.276 0.036
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.4746 0.468 0.632 0.000 0.000 0.368
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.4977 -0.216 0.000 0.540 0.460 0.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0817 0.980 0.976 0.000 0.000 0.024
#> E0961A30-A62C-4235-9CF0-A1776827A996 3 0.5691 0.235 0.000 0.468 0.508 0.024
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.2949 0.862 0.000 0.888 0.088 0.024
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.4220 0.805 0.004 0.828 0.112 0.056
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.3962 0.785 0.000 0.820 0.152 0.028
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0592 0.983 0.984 0.000 0.000 0.016
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.3907 0.637 0.000 0.120 0.836 0.044
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.1118 0.604 0.000 0.000 0.964 0.036
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0707 0.982 0.980 0.000 0.000 0.020
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.986 1.000 0.000 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0336 0.985 0.992 0.000 0.000 0.008
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.1022 0.975 0.968 0.000 0.000 0.032
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 3 0.4746 0.587 0.000 0.368 0.632 0.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.2197 0.887 0.000 0.928 0.048 0.024
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.3249 0.791 0.000 0.852 0.008 0.140
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0707 0.982 0.980 0.000 0.000 0.020
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 3 0.4250 0.658 0.000 0.276 0.724 0.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.4050 0.673 0.000 0.168 0.808 0.024
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0592 0.983 0.984 0.000 0.000 0.016
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 2 0.5099 0.322 0.380 0.612 0.000 0.008
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0469 0.986 0.988 0.000 0.000 0.012
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.3812 0.800 0.000 0.832 0.140 0.028
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 3 0.4553 0.668 0.000 0.180 0.780 0.040
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.0524 0.615 0.000 0.008 0.988 0.004
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0707 0.982 0.980 0.000 0.000 0.020
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 3 0.4522 0.635 0.000 0.320 0.680 0.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.4713 0.206 0.000 0.640 0.360 0.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0336 0.985 0.992 0.000 0.000 0.008
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.2281 0.559 0.000 0.000 0.904 0.096
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0336 0.922 0.000 0.992 0.000 0.008
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.5646 0.638 0.000 0.204 0.708 0.088
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.5143 0.587 0.000 0.360 0.628 0.012
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0188 0.923 0.000 0.996 0.000 0.004
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0707 0.982 0.980 0.000 0.000 0.020
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0921 0.977 0.972 0.000 0.000 0.028
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.4017 0.799 0.000 0.828 0.128 0.044
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0469 0.984 0.988 0.000 0.000 0.012
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0336 0.922 0.000 0.992 0.000 0.008
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.1474 0.591 0.000 0.000 0.948 0.052
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.4462 0.668 0.000 0.164 0.792 0.044
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0707 0.982 0.980 0.000 0.000 0.020
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 3 0.4981 0.440 0.000 0.464 0.536 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0336 0.922 0.000 0.992 0.000 0.008
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.2654 0.555 0.000 0.004 0.888 0.108
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.4866 0.547 0.000 0.404 0.596 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0469 0.984 0.988 0.000 0.000 0.012
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.4741 0.657 0.000 0.228 0.744 0.028
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0927 0.912 0.000 0.976 0.008 0.016
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.4103 0.668 0.000 0.256 0.744 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.4423 0.750 0.000 0.792 0.168 0.040
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 4 0.4507 0.898 0.020 0.000 0.224 0.756
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0469 0.982 0.988 0.000 0.000 0.012
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.0937 0.915 0.000 0.976 0.012 0.012
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0336 0.922 0.000 0.992 0.000 0.008
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.4609 0.660 0.000 0.224 0.752 0.024
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.2131 0.884 0.000 0.932 0.036 0.032
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.1022 0.972 0.968 0.000 0.000 0.032
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0707 0.982 0.980 0.000 0.000 0.020
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.2011 0.573 0.000 0.000 0.920 0.080
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.986 1.000 0.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.4989 -0.243 0.000 0.528 0.472 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.3370 0.652 0.000 0.080 0.872 0.048
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.3895 0.803 0.000 0.832 0.132 0.036
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0817 0.980 0.976 0.000 0.000 0.024
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> B3527517-E339-46AE-8437-65303C309015 3 0.4669 0.664 0.000 0.200 0.764 0.036
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.2775 0.868 0.000 0.896 0.084 0.020
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.6130 0.390 0.000 0.400 0.548 0.052
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0336 0.922 0.000 0.992 0.000 0.008
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.1833 0.897 0.000 0.944 0.032 0.024
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.1211 0.606 0.000 0.000 0.960 0.040
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0592 0.603 0.000 0.000 0.984 0.016
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0592 0.983 0.984 0.000 0.000 0.016
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0000 0.607 0.000 0.000 1.000 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.2011 0.860 0.000 0.920 0.080 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.3948 0.798 0.000 0.828 0.136 0.036
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0707 0.982 0.980 0.000 0.000 0.020
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0336 0.985 0.992 0.000 0.000 0.008
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.2197 0.887 0.000 0.928 0.048 0.024
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0188 0.986 0.996 0.000 0.000 0.004
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.925 0.000 1.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.925 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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.1121 0.8214 0.000 0.956 0.000 0.000 0.044
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0703 0.8255 0.000 0.976 0.000 0.000 0.024
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.2020 0.8643 0.900 0.000 0.000 0.000 0.100
#> 3182DEA1-4239-4613-925A-7E6503766AD6 5 0.5083 0.5393 0.000 0.428 0.004 0.028 0.540
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.3180 0.7739 0.000 0.076 0.856 0.000 0.068
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.2370 0.8109 0.000 0.056 0.904 0.000 0.040
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.1597 0.8099 0.000 0.000 0.940 0.012 0.048
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.2773 0.8543 0.836 0.000 0.000 0.000 0.164
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0162 0.8684 0.996 0.000 0.000 0.000 0.004
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.1410 0.8100 0.000 0.000 0.940 0.060 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 4 0.1205 0.6953 0.000 0.000 0.040 0.956 0.004
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.4294 0.0567 0.000 0.000 0.532 0.468 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 4 0.1043 0.6956 0.000 0.000 0.040 0.960 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.2690 0.8548 0.844 0.000 0.000 0.000 0.156
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0162 0.8684 0.996 0.000 0.000 0.000 0.004
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0510 0.8263 0.000 0.984 0.000 0.000 0.016
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.3673 0.7187 0.000 0.820 0.028 0.012 0.140
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.1626 0.8181 0.000 0.000 0.940 0.044 0.016
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.2127 0.7727 0.000 0.892 0.000 0.000 0.108
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.1197 0.8217 0.000 0.952 0.000 0.000 0.048
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.1369 0.8158 0.000 0.956 0.008 0.008 0.028
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.3662 0.8263 0.744 0.000 0.000 0.004 0.252
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0794 0.8250 0.000 0.972 0.000 0.000 0.028
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.3934 0.8129 0.716 0.000 0.000 0.008 0.276
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.5201 0.3815 0.000 0.684 0.128 0.000 0.188
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.1106 0.8162 0.000 0.000 0.964 0.012 0.024
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.3579 0.8313 0.756 0.000 0.000 0.004 0.240
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.1197 0.8217 0.000 0.952 0.000 0.000 0.048
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.2329 0.8612 0.876 0.000 0.000 0.000 0.124
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.2590 0.7789 0.000 0.900 0.028 0.012 0.060
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.8698 1.000 0.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.1507 0.8186 0.000 0.012 0.952 0.012 0.024
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.3885 0.8181 0.724 0.000 0.000 0.008 0.268
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0162 0.8684 0.996 0.000 0.000 0.000 0.004
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 5 0.6616 0.5585 0.000 0.380 0.216 0.000 0.404
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.4768 0.6021 0.000 0.740 0.068 0.012 0.180
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.4252 0.5078 0.000 0.764 0.172 0.000 0.064
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 4 0.1043 0.6956 0.000 0.000 0.040 0.960 0.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.4800 0.0645 0.000 0.604 0.028 0.000 0.368
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.3934 0.8129 0.716 0.000 0.000 0.008 0.276
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.2514 0.8109 0.000 0.000 0.896 0.060 0.044
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.8698 1.000 0.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.1732 0.8051 0.000 0.920 0.000 0.000 0.080
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.1670 0.8142 0.000 0.936 0.000 0.012 0.052
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.3320 0.7377 0.000 0.860 0.060 0.012 0.068
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.3692 0.7708 0.000 0.052 0.812 0.000 0.136
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.1877 0.8098 0.000 0.924 0.000 0.012 0.064
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.1341 0.8158 0.000 0.944 0.000 0.000 0.056
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.2674 0.7854 0.000 0.896 0.032 0.012 0.060
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.4040 0.8102 0.712 0.000 0.000 0.012 0.276
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.1341 0.8155 0.000 0.944 0.000 0.000 0.056
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.1792 0.8029 0.000 0.916 0.000 0.000 0.084
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0162 0.8702 0.996 0.000 0.000 0.000 0.004
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0290 0.8665 0.992 0.000 0.000 0.000 0.008
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.6267 -0.5215 0.000 0.464 0.044 0.052 0.440
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.5449 0.4866 0.000 0.684 0.116 0.012 0.188
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#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.3735 0.7132 0.000 0.836 0.072 0.016 0.076
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 4 0.1386 0.6910 0.000 0.000 0.032 0.952 0.016
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.1357 0.8149 0.000 0.948 0.000 0.004 0.048
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.8698 1.000 0.000 0.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.8698 1.000 0.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.2964 0.7300 0.000 0.840 0.004 0.004 0.152
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0898 0.8204 0.000 0.972 0.000 0.008 0.020
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0404 0.8256 0.000 0.988 0.000 0.000 0.012
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.8698 1.000 0.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.2047 0.8255 0.000 0.020 0.928 0.012 0.040
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 5 0.5578 0.6173 0.000 0.376 0.040 0.020 0.564
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.2505 0.8410 0.888 0.000 0.000 0.092 0.020
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.1478 0.8138 0.000 0.936 0.000 0.000 0.064
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.1270 0.8205 0.000 0.948 0.000 0.000 0.052
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.8698 1.000 0.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.4229 0.8041 0.704 0.000 0.000 0.020 0.276
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.2989 0.8027 0.000 0.000 0.868 0.060 0.072
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.2813 0.8525 0.832 0.000 0.000 0.000 0.168
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 3 0.5370 0.0377 0.000 0.348 0.584 0.000 0.068
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.2784 0.7962 0.000 0.004 0.872 0.016 0.108
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.5295 0.5238 0.000 0.704 0.124 0.012 0.160
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.4040 0.8102 0.712 0.000 0.000 0.012 0.276
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.1732 0.8061 0.000 0.920 0.000 0.000 0.080
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.3196 0.6862 0.000 0.804 0.004 0.000 0.192
#> B3527517-E339-46AE-8437-65303C309015 3 0.1710 0.8181 0.000 0.020 0.944 0.012 0.024
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.1341 0.8190 0.000 0.944 0.000 0.000 0.056
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.4188 0.6734 0.000 0.800 0.108 0.012 0.080
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.6884 0.3494 0.000 0.156 0.580 0.068 0.196
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.1121 0.8220 0.000 0.956 0.000 0.000 0.044
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.8698 1.000 0.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0566 0.8245 0.000 0.984 0.000 0.004 0.012
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.1682 0.8124 0.000 0.944 0.012 0.012 0.032
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.1444 0.8117 0.000 0.000 0.948 0.012 0.040
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.3950 0.7409 0.000 0.000 0.796 0.068 0.136
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.3790 0.8177 0.724 0.000 0.000 0.004 0.272
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0451 0.8213 0.000 0.000 0.988 0.008 0.004
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.3579 0.5947 0.000 0.756 0.004 0.000 0.240
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0404 0.8241 0.000 0.988 0.000 0.000 0.012
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.1671 0.8088 0.000 0.924 0.000 0.000 0.076
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.8698 1.000 0.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.3669 0.6382 0.000 0.816 0.128 0.000 0.056
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0290 0.8260 0.000 0.992 0.000 0.000 0.008
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0162 0.8684 0.996 0.000 0.000 0.000 0.004
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.4034 0.6836 0.000 0.812 0.096 0.012 0.080
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.3934 0.8129 0.716 0.000 0.000 0.008 0.276
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.1851 0.7997 0.000 0.912 0.000 0.000 0.088
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.3177 0.8431 0.792 0.000 0.000 0.000 0.208
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0794 0.8258 0.000 0.972 0.000 0.000 0.028
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.8698 1.000 0.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0290 0.8665 0.992 0.000 0.000 0.000 0.008
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.1270 0.8209 0.000 0.948 0.000 0.000 0.052
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.2270 0.7911 0.000 0.916 0.020 0.012 0.052
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.8698 1.000 0.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.1851 0.7997 0.000 0.912 0.000 0.000 0.088
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.1270 0.8219 0.000 0.948 0.000 0.000 0.052
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0632 0.8348 0.000 0.976 0.000 0.024 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0603 0.8323 0.000 0.980 0.004 0.016 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 6 0.3482 0.3680 0.316 0.000 0.000 0.000 0.000 0.684
#> 3182DEA1-4239-4613-925A-7E6503766AD6 4 0.6047 0.3541 0.132 0.236 0.032 0.588 0.012 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.1555 0.7881 0.012 0.000 0.940 0.040 0.008 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.1578 0.7877 0.012 0.000 0.936 0.048 0.004 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.2209 0.7735 0.024 0.000 0.900 0.072 0.004 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.3862 0.5050 0.524 0.000 0.000 0.000 0.000 0.476
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.3023 0.9444 0.768 0.000 0.000 0.000 0.000 0.232
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.2123 0.7889 0.012 0.000 0.912 0.024 0.052 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 5 0.0717 0.7066 0.000 0.000 0.000 0.008 0.976 0.016
#> 844E4CCD-D30C-416F-A086-8923711A4E25 5 0.4266 0.4335 0.004 0.000 0.356 0.020 0.620 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 5 0.0603 0.7066 0.000 0.000 0.000 0.004 0.980 0.016
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 6 0.1444 0.8546 0.072 0.000 0.000 0.000 0.000 0.928
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.2883 0.9334 0.788 0.000 0.000 0.000 0.000 0.212
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0363 0.8341 0.000 0.988 0.000 0.012 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.3925 0.4899 0.008 0.656 0.004 0.332 0.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0993 0.7926 0.012 0.000 0.964 0.024 0.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.3730 0.5935 0.016 0.740 0.008 0.236 0.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0603 0.8319 0.004 0.980 0.000 0.016 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.1010 0.8260 0.004 0.960 0.000 0.036 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 6 0.0937 0.8797 0.040 0.000 0.000 0.000 0.000 0.960
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0858 0.8341 0.000 0.968 0.004 0.028 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 6 0.0363 0.8871 0.012 0.000 0.000 0.000 0.000 0.988
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.6205 -0.4011 0.012 0.420 0.208 0.360 0.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.1616 0.7847 0.020 0.000 0.932 0.048 0.000 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 6 0.2048 0.7987 0.120 0.000 0.000 0.000 0.000 0.880
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0692 0.8311 0.000 0.976 0.000 0.020 0.004 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 6 0.2854 0.6505 0.208 0.000 0.000 0.000 0.000 0.792
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.2006 0.7921 0.004 0.892 0.000 0.104 0.000 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.3101 0.9442 0.756 0.000 0.000 0.000 0.000 0.244
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.1528 0.7868 0.016 0.000 0.936 0.048 0.000 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 6 0.3404 0.5448 0.248 0.000 0.000 0.004 0.004 0.744
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.2793 0.9222 0.800 0.000 0.000 0.000 0.000 0.200
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 3 0.7170 -0.2148 0.064 0.236 0.388 0.304 0.008 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.4167 0.4539 0.008 0.636 0.012 0.344 0.000 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.5523 0.3048 0.016 0.628 0.196 0.156 0.004 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 5 0.0458 0.7065 0.000 0.000 0.000 0.000 0.984 0.016
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 4 0.5659 0.5307 0.024 0.356 0.092 0.528 0.000 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 6 0.0458 0.8881 0.016 0.000 0.000 0.000 0.000 0.984
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.3625 0.7672 0.024 0.000 0.816 0.108 0.052 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.3151 0.9418 0.748 0.000 0.000 0.000 0.000 0.252
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.1194 0.8255 0.008 0.956 0.000 0.032 0.004 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0972 0.8284 0.000 0.964 0.000 0.028 0.008 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.2848 0.7419 0.008 0.828 0.004 0.160 0.000 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.3560 0.6690 0.008 0.000 0.732 0.256 0.004 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.1141 0.8299 0.000 0.948 0.000 0.052 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.1218 0.8272 0.000 0.956 0.012 0.028 0.004 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.1471 0.8137 0.004 0.932 0.000 0.064 0.000 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 6 0.0000 0.8807 0.000 0.000 0.000 0.000 0.000 1.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0935 0.8299 0.000 0.964 0.004 0.032 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.1881 0.8117 0.012 0.928 0.008 0.044 0.008 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.3151 0.9418 0.748 0.000 0.000 0.000 0.000 0.252
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.3314 0.9412 0.764 0.000 0.000 0.012 0.000 0.224
#> C1113977-B160-45EE-B061-750F9EA3F33F 4 0.7257 0.5199 0.036 0.316 0.044 0.416 0.188 0.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.4669 0.3474 0.008 0.592 0.036 0.364 0.000 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 6 0.0458 0.8881 0.016 0.000 0.000 0.000 0.000 0.984
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.2920 0.7363 0.008 0.820 0.000 0.168 0.004 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 3 0.5464 0.3316 0.008 0.104 0.572 0.312 0.004 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.1753 0.8035 0.004 0.912 0.000 0.084 0.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.2320 0.7721 0.004 0.864 0.000 0.132 0.000 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.1453 0.7888 0.008 0.000 0.944 0.040 0.008 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.1080 0.8329 0.004 0.960 0.004 0.032 0.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.5233 0.1690 0.012 0.536 0.068 0.384 0.000 0.000
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 3 0.3729 0.7188 0.008 0.060 0.808 0.116 0.008 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0146 0.8333 0.000 0.996 0.000 0.004 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 6 0.7626 0.0952 0.172 0.004 0.164 0.276 0.004 0.380
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0260 0.8324 0.000 0.992 0.000 0.008 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.3371 0.9073 0.708 0.000 0.000 0.000 0.000 0.292
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.1753 0.8082 0.004 0.912 0.000 0.084 0.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 6 0.0790 0.8845 0.032 0.000 0.000 0.000 0.000 0.968
#> FE298483-C42C-4753-BABB-29A9CB1B6312 6 0.3371 0.4334 0.292 0.000 0.000 0.000 0.000 0.708
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.3833 0.7657 0.024 0.000 0.800 0.116 0.060 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.5510 0.1766 0.016 0.084 0.500 0.400 0.000 0.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.1958 0.7971 0.004 0.896 0.000 0.100 0.000 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.3221 0.9340 0.736 0.000 0.000 0.000 0.000 0.264
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0820 0.8312 0.000 0.972 0.000 0.016 0.012 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 5 0.3264 0.6685 0.012 0.000 0.076 0.072 0.840 0.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.1049 0.8341 0.000 0.960 0.008 0.032 0.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 5 0.6918 0.1627 0.048 0.004 0.372 0.188 0.384 0.004
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.1536 0.8189 0.016 0.940 0.000 0.040 0.004 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 5 0.3076 0.5437 0.000 0.000 0.000 0.000 0.760 0.240
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.3630 0.7690 0.024 0.000 0.812 0.120 0.044 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0260 0.8335 0.000 0.992 0.000 0.008 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 6 0.0260 0.8854 0.008 0.000 0.000 0.000 0.000 0.992
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.4648 0.2666 0.004 0.584 0.040 0.372 0.000 0.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.3590 0.7615 0.032 0.000 0.808 0.136 0.024 0.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 3 0.4414 0.6505 0.012 0.092 0.748 0.144 0.004 0.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.2505 0.7890 0.008 0.000 0.880 0.092 0.020 0.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.3003 0.7780 0.016 0.000 0.852 0.104 0.028 0.000
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#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.1232 0.8290 0.016 0.956 0.004 0.024 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.3651 0.6460 0.008 0.752 0.016 0.224 0.000 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.7184 0.1194 0.012 0.092 0.336 0.412 0.148 0.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0748 0.8314 0.004 0.976 0.000 0.016 0.004 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.3163 0.9449 0.764 0.000 0.000 0.004 0.000 0.232
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0692 0.8318 0.004 0.976 0.000 0.020 0.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0937 0.8256 0.000 0.960 0.000 0.040 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.2094 0.7770 0.024 0.000 0.908 0.064 0.004 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.6063 0.3053 0.012 0.000 0.468 0.336 0.184 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 6 0.0713 0.8862 0.028 0.000 0.000 0.000 0.000 0.972
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0951 0.7933 0.004 0.000 0.968 0.020 0.008 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.4848 0.2950 0.032 0.608 0.024 0.336 0.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0405 0.8338 0.004 0.988 0.000 0.008 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.3288 0.6988 0.008 0.800 0.016 0.176 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.3151 0.9419 0.748 0.000 0.000 0.000 0.000 0.252
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.5785 0.0427 0.008 0.568 0.224 0.196 0.004 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0146 0.8332 0.000 0.996 0.000 0.004 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.2854 0.9299 0.792 0.000 0.000 0.000 0.000 0.208
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.3931 0.6530 0.008 0.756 0.044 0.192 0.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 6 0.0363 0.8870 0.012 0.000 0.000 0.000 0.000 0.988
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.1553 0.8226 0.008 0.944 0.012 0.032 0.004 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 6 0.3737 0.0331 0.392 0.000 0.000 0.000 0.000 0.608
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0603 0.8324 0.004 0.980 0.000 0.016 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.3101 0.9442 0.756 0.000 0.000 0.000 0.000 0.244
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.3190 0.9400 0.772 0.000 0.000 0.008 0.000 0.220
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0551 0.8337 0.004 0.984 0.004 0.008 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.1858 0.8007 0.004 0.904 0.000 0.092 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.2996 0.9431 0.772 0.000 0.000 0.000 0.000 0.228
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.1554 0.8183 0.004 0.940 0.008 0.044 0.004 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.1699 0.8189 0.004 0.936 0.012 0.040 0.008 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "hclust"]
# you can also extract it by
# res = res_list["ATC:hclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17288 rows and 266 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 0.892 0.922 0.961 0.4533 0.566 0.566
#> 3 3 0.714 0.726 0.886 0.3330 0.848 0.731
#> 4 4 0.732 0.718 0.884 0.0449 0.936 0.848
#> 5 5 0.742 0.793 0.890 0.1342 0.855 0.626
#> 6 6 0.680 0.651 0.832 0.0381 0.982 0.932
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.000 0.943 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.000 0.943 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.000 1.000 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.000 0.943 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.000 0.943 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.000 0.943 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.952 0.513 0.372 0.628
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.000 1.000 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.000 1.000 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.000 0.943 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.000 1.000 1.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.278 0.921 0.048 0.952
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.000 1.000 1.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.000 1.000 1.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.000 1.000 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.000 0.943 0.000 1.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.000 0.943 0.000 1.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.000 0.943 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.000 0.943 0.000 1.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.000 0.943 0.000 1.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.000 0.943 0.000 1.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.000 1.000 1.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.000 0.943 0.000 1.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.000 1.000 1.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.000 0.943 0.000 1.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.343 0.910 0.064 0.936
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.000 1.000 1.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.000 0.943 0.000 1.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.000 1.000 1.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.494 0.873 0.108 0.892
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.000 1.000 1.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.952 0.513 0.372 0.628
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.000 1.000 1.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.000 1.000 1.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.000 0.943 0.000 1.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.921 0.579 0.336 0.664
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.000 0.943 0.000 1.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 2 0.278 0.921 0.048 0.952
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.141 0.935 0.020 0.980
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.000 1.000 1.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.000 0.943 0.000 1.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.000 1.000 1.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.000 0.943 0.000 1.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.000 0.943 0.000 1.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.936 0.550 0.352 0.648
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.184 0.931 0.028 0.972
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.000 0.943 0.000 1.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.000 0.943 0.000 1.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.494 0.873 0.108 0.892
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.000 1.000 1.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.000 0.943 0.000 1.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.000 0.943 0.000 1.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.000 1.000 1.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.000 1.000 1.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.204 0.930 0.032 0.968
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.943 0.537 0.360 0.640
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.000 1.000 1.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.494 0.873 0.108 0.892
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.000 0.943 0.000 1.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.000 0.943 0.000 1.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.402 0.897 0.080 0.920
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.000 0.943 0.000 1.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.000 0.943 0.000 1.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.921 0.579 0.336 0.664
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.000 0.943 0.000 1.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.000 0.943 0.000 1.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 2 0.141 0.935 0.020 0.980
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.000 0.943 0.000 1.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.000 1.000 1.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.000 0.943 0.000 1.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.000 1.000 1.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.000 1.000 1.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.000 0.943 0.000 1.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.952 0.513 0.372 0.628
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.402 0.897 0.080 0.920
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.000 1.000 1.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.000 0.943 0.000 1.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 2 0.278 0.921 0.048 0.952
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.000 0.943 0.000 1.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 2 0.952 0.513 0.372 0.628
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.000 0.943 0.000 1.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.000 1.000 1.000 0.000
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.000 0.943 0.000 1.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.000 0.943 0.000 1.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.000 1.000 1.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.204 0.930 0.032 0.968
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.000 0.943 0.000 1.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.000 0.943 0.000 1.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.443 0.887 0.092 0.908
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.184 0.932 0.028 0.972
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0.242 0.925 0.040 0.960
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.000 1.000 1.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.000 0.943 0.000 1.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.000 1.000 1.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.000 1.000 1.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.000 0.943 0.000 1.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0.224 0.928 0.036 0.964
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.000 1.000 1.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.000 0.943 0.000 1.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.000 1.000 1.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.936 0.550 0.352 0.648
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.000 0.943 0.000 1.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.000 1.000 1.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.000 0.943 0.000 1.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.000 1.000 1.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.000 0.943 0.000 1.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.000 0.943 0.000 1.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.000 1.000 1.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 2 0.952 0.513 0.372 0.628
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.000 0.943 0.000 1.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0.242 0.925 0.040 0.960
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.000 1.000 1.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.000 1.000 1.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.000 1.000 1.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.000 0.943 0.000 1.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.000 0.943 0.000 1.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.943 0.537 0.360 0.640
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.000 0.943 0.000 1.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.000 0.943 0.000 1.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.000 0.943 0.000 1.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.224 0.928 0.036 0.964
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 2 0.224 0.928 0.036 0.964
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.000 0.943 0.000 1.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.000 0.943 0.000 1.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.541 0.857 0.124 0.876
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.000 0.943 0.000 1.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.000 0.943 0.000 1.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0.343 0.910 0.064 0.936
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.000 1.000 1.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.000 0.943 0.000 1.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 2 0.278 0.921 0.048 0.952
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.000 1.000 1.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.946 0.529 0.364 0.636
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.141 0.935 0.020 0.980
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.000 1.000 1.000 0.000
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.000 0.943 0.000 1.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.000 0.943 0.000 1.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.000 1.000 1.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.000 0.943 0.000 1.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.000 1.000 1.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.000 0.943 0.000 1.000
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.000 0.943 0.000 1.000
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.921 0.579 0.336 0.664
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.469 0.880 0.100 0.900
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.000 1.000 1.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.000 1.000 1.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.000 0.943 0.000 1.000
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.000 0.943 0.000 1.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0.000 0.943 0.000 1.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.000 0.943 0.000 1.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 2 0.952 0.513 0.372 0.628
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.000 1.000 1.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.000 0.943 0.000 1.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.000 1.000 1.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.000 1.000 1.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.000 0.943 0.000 1.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.000 1.000 1.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.000 0.943 0.000 1.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.000 0.943 0.000 1.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.000 0.943 0.000 1.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.141 0.935 0.020 0.980
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.000 1.000 1.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.000 1.000 1.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.000 0.943 0.000 1.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0.242 0.925 0.040 0.960
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.000 1.000 1.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.000 1.000 1.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.000 1.000 1.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.000 0.943 0.000 1.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 2 0.141 0.935 0.020 0.980
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.000 1.000 1.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.494 0.873 0.108 0.892
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.000 0.943 0.000 1.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0.952 0.513 0.372 0.628
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.000 1.000 1.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.000 1.000 1.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.000 0.943 0.000 1.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.000 0.943 0.000 1.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.343 0.910 0.064 0.936
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.000 1.000 1.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.000 0.943 0.000 1.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.000 1.000 1.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.000 0.943 0.000 1.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.000 1.000 1.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.000 0.943 0.000 1.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.000 0.943 0.000 1.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.000 0.943 0.000 1.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.000 0.943 0.000 1.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.000 0.943 0.000 1.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.000 0.943 0.000 1.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.000 1.000 1.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.000 1.000 1.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.000 0.943 0.000 1.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.000 1.000 1.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.936 0.550 0.352 0.648
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.000 1.000 1.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.000 0.943 0.000 1.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.224 0.928 0.036 0.964
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.242 0.925 0.040 0.960
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.000 1.000 1.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.000 0.943 0.000 1.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.000 0.943 0.000 1.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.000 0.943 0.000 1.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.000 0.943 0.000 1.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.000 0.943 0.000 1.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.000 0.943 0.000 1.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.000 1.000 1.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.000 1.000 1.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.358 0.906 0.068 0.932
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.000 0.943 0.000 1.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.000 0.943 0.000 1.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.494 0.873 0.108 0.892
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.000 1.000 1.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.141 0.935 0.020 0.980
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.000 1.000 1.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.000 1.000 1.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.000 0.943 0.000 1.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.224 0.928 0.036 0.964
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.000 0.943 0.000 1.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.000 1.000 1.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.242 0.925 0.040 0.960
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.000 0.943 0.000 1.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.000 1.000 1.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.000 0.943 0.000 1.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.000 0.943 0.000 1.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.000 1.000 1.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.000 1.000 1.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.242 0.925 0.040 0.960
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.000 1.000 1.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.000 0.943 0.000 1.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.184 0.931 0.028 0.972
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.952 0.513 0.372 0.628
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.000 1.000 1.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.000 0.943 0.000 1.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.204 0.930 0.032 0.968
#> B3527517-E339-46AE-8437-65303C309015 2 0.952 0.513 0.372 0.628
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.000 0.943 0.000 1.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.141 0.935 0.020 0.980
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.952 0.513 0.372 0.628
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.000 0.943 0.000 1.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.000 1.000 1.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.141 0.935 0.020 0.980
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.000 0.943 0.000 1.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.952 0.513 0.372 0.628
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.242 0.925 0.040 0.960
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.000 1.000 1.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.952 0.513 0.372 0.628
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.000 0.943 0.000 1.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.000 0.943 0.000 1.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.000 0.943 0.000 1.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.000 1.000 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.000 0.943 0.000 1.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.000 0.943 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.000 1.000 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.952 0.513 0.372 0.628
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.000 1.000 1.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.000 0.943 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.000 1.000 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.000 0.943 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.000 1.000 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.000 1.000 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.000 0.943 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.000 0.943 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.000 1.000 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.000 0.943 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.000 0.943 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0424 0.8266 0.000 0.992 0.008
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.2261 0.8011 0.000 0.932 0.068
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9470 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0000 0.8274 0.000 1.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.0424 0.8265 0.000 0.992 0.008
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.0424 0.8265 0.000 0.992 0.008
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0000 0.7434 0.000 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.3038 0.8766 0.896 0.000 0.104
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9470 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.5497 0.5447 0.000 0.708 0.292
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0000 0.9470 1.000 0.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.5926 0.4505 0.000 0.356 0.644
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0000 0.9470 1.000 0.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9470 1.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9470 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.1964 0.8073 0.000 0.944 0.056
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.1163 0.8210 0.000 0.972 0.028
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.0424 0.8265 0.000 0.992 0.008
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.3879 0.7396 0.000 0.848 0.152
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.8274 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.4750 0.6742 0.000 0.784 0.216
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0592 0.9395 0.988 0.000 0.012
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#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.9470 1.000 0.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0000 0.8274 0.000 1.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.8274 0.000 1.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.1031 0.8224 0.000 0.976 0.024
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.4750 0.6742 0.000 0.784 0.216
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.2356 0.7998 0.000 0.928 0.072
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.4399 0.7043 0.000 0.812 0.188
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.9470 1.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.9470 1.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.6140 0.3091 0.000 0.596 0.404
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.8274 0.000 1.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.1031 0.8218 0.000 0.976 0.024
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 3 0.6235 0.2789 0.000 0.436 0.564
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0000 0.9470 1.000 0.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.6126 0.3094 0.000 0.600 0.400
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.5785 0.6715 0.668 0.000 0.332
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.9470 1.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.5948 0.4172 0.000 0.640 0.360
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.5785 0.4843 0.000 0.668 0.332
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.8274 0.000 1.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.9470 1.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.6260 0.1570 0.000 0.552 0.448
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.0000 0.8274 0.000 1.000 0.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.9470 1.000 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.8274 0.000 1.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.8274 0.000 1.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9470 1.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.9470 1.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.6267 0.1420 0.000 0.548 0.452
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.9470 1.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.8274 0.000 1.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.6291 0.0764 0.000 0.532 0.468
#> CAE8097F-A139-4C6E-9E30-35080475FF34 3 0.0000 0.7434 0.000 0.000 1.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.5785 0.6715 0.668 0.000 0.332
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.8274 0.000 1.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.6274 0.1246 0.000 0.544 0.456
#> B3527517-E339-46AE-8437-65303C309015 3 0.0000 0.7434 0.000 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.8274 0.000 1.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.6045 0.3659 0.000 0.620 0.380
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.0000 0.7434 0.000 0.000 1.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.8274 0.000 1.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9470 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.6126 0.3094 0.000 0.600 0.400
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.4750 0.6742 0.000 0.784 0.216
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0000 0.7434 0.000 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.6267 0.1420 0.000 0.548 0.452
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.5785 0.6715 0.668 0.000 0.332
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0000 0.7434 0.000 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.8274 0.000 1.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.4750 0.6742 0.000 0.784 0.216
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.8274 0.000 1.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9470 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.8274 0.000 1.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.8274 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9470 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 3 0.0000 0.7434 0.000 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.9470 1.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.8274 0.000 1.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.9470 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.8274 0.000 1.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9470 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9470 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.8274 0.000 1.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.4750 0.6742 0.000 0.784 0.216
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9470 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.8274 0.000 1.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.8274 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0469 0.8301 0.000 0.988 0.012 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.2011 0.7941 0.000 0.920 0.080 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0188 0.9756 0.996 0.000 0.000 0.004
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.0336 0.8310 0.000 0.992 0.008 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.0336 0.8310 0.000 0.992 0.008 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.1389 0.5321 0.000 0.000 0.952 0.048
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.4222 0.6036 0.728 0.000 0.000 0.272
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.1118 0.9674 0.964 0.000 0.000 0.036
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.4431 0.4787 0.000 0.696 0.304 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0707 0.9709 0.980 0.000 0.000 0.020
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.5018 0.5282 0.000 0.332 0.656 0.012
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0707 0.9709 0.980 0.000 0.000 0.020
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0188 0.9769 0.996 0.000 0.000 0.004
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.1118 0.9674 0.964 0.000 0.000 0.036
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.1637 0.8062 0.000 0.940 0.060 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.1118 0.8209 0.000 0.964 0.036 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.0336 0.8310 0.000 0.992 0.008 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.3311 0.7112 0.000 0.828 0.172 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.3942 0.6288 0.000 0.764 0.236 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.2081 0.9249 0.916 0.000 0.000 0.084
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.1940 0.7977 0.000 0.924 0.076 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.1557 0.9536 0.944 0.000 0.000 0.056
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.4961 0.3304 0.000 0.448 0.552 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0188 0.9769 0.996 0.000 0.000 0.004
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 4 0.3400 0.8632 0.180 0.000 0.000 0.820
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 3 0.4888 0.4124 0.000 0.412 0.588 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0188 0.9756 0.996 0.000 0.000 0.004
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.1211 0.5389 0.000 0.000 0.960 0.040
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0188 0.9756 0.996 0.000 0.000 0.004
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0188 0.9756 0.996 0.000 0.000 0.004
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 3 0.0804 0.5615 0.000 0.012 0.980 0.008
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.4891 0.5513 0.000 0.308 0.680 0.012
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.4898 0.1655 0.000 0.584 0.416 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 4 0.3610 0.8225 0.200 0.000 0.000 0.800
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.2589 0.7718 0.000 0.884 0.116 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9763 1.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 3 0.3760 0.5976 0.000 0.136 0.836 0.028
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.4996 -0.1225 0.000 0.516 0.484 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 3 0.4866 0.4267 0.000 0.404 0.596 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.1389 0.9600 0.952 0.000 0.000 0.048
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0817 0.8260 0.000 0.976 0.024 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0592 0.9754 0.984 0.000 0.000 0.016
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0188 0.9756 0.996 0.000 0.000 0.004
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.4994 -0.1042 0.000 0.520 0.480 0.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 3 0.1724 0.5595 0.000 0.020 0.948 0.032
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0336 0.9769 0.992 0.000 0.000 0.008
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 3 0.4888 0.4124 0.000 0.412 0.588 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.3942 0.6288 0.000 0.764 0.236 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.4948 0.1005 0.000 0.560 0.440 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.0188 0.8319 0.000 0.996 0.004 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0336 0.8302 0.000 0.992 0.008 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 3 0.0804 0.5615 0.000 0.012 0.980 0.008
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.5000 0.1586 0.000 0.500 0.500 0.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0707 0.9758 0.980 0.000 0.000 0.020
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.3942 0.6288 0.000 0.764 0.236 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.1302 0.9625 0.956 0.000 0.000 0.044
#> FE298483-C42C-4753-BABB-29A9CB1B6312 4 0.2868 0.8880 0.136 0.000 0.000 0.864
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.2216 0.7877 0.000 0.908 0.092 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.1211 0.5389 0.000 0.000 0.960 0.040
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.4948 0.1005 0.000 0.560 0.440 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0592 0.9759 0.984 0.000 0.000 0.016
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.4891 0.5513 0.000 0.308 0.680 0.012
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.1389 0.5321 0.000 0.000 0.952 0.048
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0188 0.9756 0.996 0.000 0.000 0.004
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.2216 0.7877 0.000 0.908 0.092 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 4 0.1118 0.9003 0.036 0.000 0.000 0.964
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.4994 -0.1042 0.000 0.520 0.480 0.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.0817 0.8254 0.000 0.976 0.024 0.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.4996 -0.1062 0.000 0.516 0.484 0.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.4977 -0.0114 0.000 0.540 0.460 0.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.4992 0.2465 0.000 0.476 0.524 0.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0188 0.9756 0.996 0.000 0.000 0.004
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.4661 0.3931 0.000 0.652 0.348 0.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 4 0.4543 0.6254 0.324 0.000 0.000 0.676
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0921 0.9715 0.972 0.000 0.000 0.028
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.2589 0.7718 0.000 0.884 0.116 0.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.4977 0.2985 0.000 0.460 0.540 0.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0188 0.9769 0.996 0.000 0.000 0.004
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#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.3942 0.6288 0.000 0.764 0.236 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0336 0.9770 0.992 0.000 0.000 0.008
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.8325 0.000 1.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.8325 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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.1410 0.8610 0.000 0.940 0.060 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.3586 0.5956 0.000 0.736 0.264 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0671 0.9662 0.980 0.000 0.016 0.000 0.004
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0794 0.8773 0.000 0.972 0.028 0.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.1965 0.8305 0.000 0.904 0.096 0.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.1965 0.8305 0.000 0.904 0.096 0.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.0609 0.8178 0.000 0.000 0.020 0.980 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.3636 0.6240 0.728 0.000 0.000 0.000 0.272
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.1365 0.9592 0.952 0.000 0.004 0.004 0.040
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.4182 0.4604 0.000 0.400 0.600 0.000 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.1059 0.9657 0.968 0.000 0.008 0.004 0.020
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.3241 0.5662 0.000 0.024 0.832 0.144 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.1059 0.9657 0.968 0.000 0.008 0.004 0.020
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0162 0.9705 0.996 0.000 0.000 0.000 0.004
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.1365 0.9592 0.952 0.000 0.004 0.004 0.040
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.2329 0.8095 0.000 0.876 0.124 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.2690 0.7615 0.000 0.844 0.156 0.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.1965 0.8300 0.000 0.904 0.096 0.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.4256 0.0392 0.000 0.564 0.436 0.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 3 0.4283 0.3642 0.000 0.456 0.544 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.2170 0.9172 0.904 0.000 0.004 0.004 0.088
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.3480 0.6263 0.000 0.752 0.248 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.1662 0.9487 0.936 0.000 0.004 0.004 0.056
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0609 0.8788 0.000 0.980 0.020 0.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.2446 0.6974 0.000 0.044 0.900 0.056 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0162 0.9705 0.996 0.000 0.000 0.000 0.004
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 5 0.2690 0.8282 0.156 0.000 0.000 0.000 0.844
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 3 0.3464 0.6901 0.000 0.068 0.836 0.096 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0162 0.9693 0.996 0.000 0.000 0.000 0.004
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 4 0.0794 0.8334 0.000 0.000 0.028 0.972 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0162 0.9693 0.996 0.000 0.000 0.000 0.004
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0162 0.9693 0.996 0.000 0.000 0.000 0.004
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.3796 0.7092 0.000 0.000 0.300 0.700 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0290 0.8800 0.000 0.992 0.008 0.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.3488 0.5374 0.000 0.024 0.808 0.168 0.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 3 0.2732 0.7539 0.000 0.160 0.840 0.000 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 5 0.3128 0.7880 0.168 0.000 0.004 0.004 0.824
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.4251 0.3427 0.000 0.624 0.372 0.004 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9700 1.000 0.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 4 0.4663 0.5707 0.000 0.020 0.376 0.604 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.2519 0.7562 0.000 0.100 0.884 0.016 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0162 0.8801 0.000 0.996 0.004 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0510 0.8795 0.000 0.984 0.016 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 3 0.3336 0.6807 0.000 0.060 0.844 0.096 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.1591 0.9518 0.940 0.000 0.004 0.004 0.052
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.1671 0.8490 0.000 0.924 0.076 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0833 0.9685 0.976 0.000 0.004 0.004 0.016
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0671 0.9662 0.980 0.000 0.016 0.000 0.004
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.2416 0.7567 0.000 0.100 0.888 0.012 0.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 4 0.3242 0.7809 0.000 0.000 0.216 0.784 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0290 0.9707 0.992 0.000 0.000 0.000 0.008
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 3 0.3464 0.6901 0.000 0.068 0.836 0.096 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0510 0.8798 0.000 0.984 0.016 0.000 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 3 0.4268 0.3886 0.000 0.444 0.556 0.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 3 0.4558 0.7300 0.000 0.216 0.724 0.060 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.1792 0.8402 0.000 0.916 0.084 0.000 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.1197 0.8676 0.000 0.952 0.048 0.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 4 0.3796 0.7092 0.000 0.000 0.300 0.700 0.000
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.1544 0.7360 0.000 0.068 0.932 0.000 0.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0162 0.8801 0.000 0.996 0.004 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0771 0.9704 0.976 0.000 0.000 0.004 0.020
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 3 0.4283 0.3642 0.000 0.456 0.544 0.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.1357 0.9564 0.948 0.000 0.000 0.004 0.048
#> FE298483-C42C-4753-BABB-29A9CB1B6312 5 0.2179 0.8500 0.112 0.000 0.000 0.000 0.888
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.3966 0.4471 0.000 0.664 0.336 0.000 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 4 0.1478 0.8400 0.000 0.000 0.064 0.936 0.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 3 0.4558 0.7300 0.000 0.216 0.724 0.060 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.1117 0.9693 0.964 0.000 0.016 0.000 0.020
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0162 0.8801 0.000 0.996 0.004 0.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.3488 0.5374 0.000 0.024 0.808 0.168 0.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0609 0.8792 0.000 0.980 0.020 0.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 4 0.0609 0.8178 0.000 0.000 0.020 0.980 0.000
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0162 0.8801 0.000 0.996 0.004 0.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0671 0.9662 0.980 0.000 0.016 0.000 0.004
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.3966 0.4471 0.000 0.664 0.336 0.000 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 5 0.0404 0.8602 0.012 0.000 0.000 0.000 0.988
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 3 0.2416 0.7567 0.000 0.100 0.888 0.012 0.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.2424 0.7959 0.000 0.868 0.132 0.000 0.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.4409 0.7377 0.000 0.176 0.752 0.072 0.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.2563 0.7623 0.000 0.120 0.872 0.008 0.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.2171 0.7319 0.000 0.064 0.912 0.024 0.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0671 0.9662 0.980 0.000 0.016 0.000 0.004
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 3 0.3876 0.6432 0.000 0.316 0.684 0.000 0.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 5 0.4081 0.6279 0.296 0.000 0.004 0.004 0.696
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0880 0.9657 0.968 0.000 0.000 0.000 0.032
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.4251 0.3427 0.000 0.624 0.372 0.004 0.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.2504 0.7269 0.000 0.064 0.896 0.040 0.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0162 0.9705 0.996 0.000 0.000 0.000 0.004
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.3876 0.4759 0.000 0.684 0.316 0.000 0.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0566 0.9674 0.984 0.000 0.012 0.000 0.004
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 4 0.4046 0.7006 0.000 0.008 0.296 0.696 0.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.1792 0.8402 0.000 0.916 0.084 0.000 0.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0771 0.9689 0.976 0.000 0.000 0.004 0.020
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0880 0.8756 0.000 0.968 0.032 0.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0162 0.9705 0.996 0.000 0.000 0.000 0.004
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.0794 0.8773 0.000 0.972 0.028 0.000 0.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.1197 0.8679 0.000 0.952 0.048 0.000 0.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.1365 0.9592 0.952 0.000 0.004 0.004 0.040
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 4 0.1478 0.8400 0.000 0.000 0.064 0.936 0.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.1792 0.8402 0.000 0.916 0.084 0.000 0.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.2669 0.7581 0.000 0.104 0.876 0.020 0.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0162 0.9705 0.996 0.000 0.000 0.000 0.004
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0880 0.9657 0.968 0.000 0.000 0.000 0.032
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0162 0.9705 0.996 0.000 0.000 0.000 0.004
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.3876 0.6432 0.000 0.316 0.684 0.000 0.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.3966 0.4471 0.000 0.664 0.336 0.000 0.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 4 0.3242 0.7809 0.000 0.000 0.216 0.784 0.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.0510 0.8795 0.000 0.984 0.016 0.000 0.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.4074 0.3750 0.000 0.636 0.364 0.000 0.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 3 0.4109 0.6919 0.000 0.288 0.700 0.012 0.000
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.3339 0.6270 0.000 0.040 0.836 0.124 0.000
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.1792 0.8402 0.000 0.916 0.084 0.000 0.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0162 0.8801 0.000 0.996 0.004 0.000 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 3 0.4599 0.7113 0.000 0.156 0.744 0.100 0.000
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.1792 0.8436 0.000 0.916 0.084 0.000 0.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 3 0.4283 0.3622 0.000 0.456 0.544 0.000 0.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.2446 0.6974 0.000 0.044 0.900 0.056 0.000
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 5 0.1410 0.8592 0.060 0.000 0.000 0.000 0.940
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.4291 -0.0165 0.000 0.536 0.464 0.000 0.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.3241 0.5662 0.000 0.024 0.832 0.144 0.000
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0510 0.9677 0.984 0.000 0.016 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 4 0.1965 0.8305 0.000 0.000 0.096 0.904 0.000
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 3 0.2605 0.7551 0.000 0.148 0.852 0.000 0.000
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0671 0.9662 0.980 0.000 0.016 0.000 0.004
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.0609 0.8793 0.000 0.980 0.020 0.000 0.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.2329 0.8068 0.000 0.876 0.124 0.000 0.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0566 0.9674 0.984 0.000 0.012 0.000 0.004
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0880 0.8754 0.000 0.968 0.032 0.000 0.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.1518 0.9541 0.944 0.000 0.004 0.004 0.048
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.4256 0.0392 0.000 0.564 0.436 0.000 0.000
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.4256 0.0392 0.000 0.564 0.436 0.000 0.000
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 4 0.3949 0.6761 0.000 0.000 0.332 0.668 0.000
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 3 0.4417 0.7194 0.000 0.148 0.760 0.092 0.000
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0671 0.9662 0.980 0.000 0.016 0.000 0.004
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.1357 0.9564 0.948 0.000 0.000 0.004 0.048
#> 903BF591-B0AF-4BEE-B625-60B673070344 3 0.3983 0.6088 0.000 0.340 0.660 0.000 0.000
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0.3949 0.4561 0.000 0.668 0.332 0.000 0.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0703 0.8777 0.000 0.976 0.024 0.000 0.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 4 0.0609 0.8178 0.000 0.000 0.020 0.980 0.000
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0162 0.9705 0.996 0.000 0.000 0.000 0.004
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0912 0.9689 0.972 0.000 0.016 0.000 0.012
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0671 0.9662 0.980 0.000 0.016 0.000 0.004
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.0609 0.8788 0.000 0.980 0.020 0.000 0.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 5 0.0404 0.8602 0.012 0.000 0.000 0.000 0.988
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.1792 0.8402 0.000 0.916 0.084 0.000 0.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.1732 0.8488 0.000 0.920 0.080 0.000 0.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0162 0.8801 0.000 0.996 0.004 0.000 0.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 3 0.1544 0.7360 0.000 0.068 0.932 0.000 0.000
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0703 0.9700 0.976 0.000 0.000 0.000 0.024
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0162 0.9705 0.996 0.000 0.000 0.000 0.004
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.3109 0.7242 0.000 0.800 0.200 0.000 0.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.2046 0.7375 0.000 0.068 0.916 0.016 0.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 5 0.2852 0.8110 0.172 0.000 0.000 0.000 0.828
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0671 0.9662 0.980 0.000 0.016 0.000 0.004
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0566 0.9674 0.984 0.000 0.012 0.000 0.004
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 3 0.2046 0.7322 0.000 0.068 0.916 0.016 0.000
#> F972A9AA-9842-4343-A533-A795E65581CE 5 0.0162 0.8527 0.004 0.000 0.000 0.000 0.996
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 3 0.3464 0.6901 0.000 0.068 0.836 0.096 0.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 3 0.4273 0.3795 0.000 0.448 0.552 0.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 4 0.0794 0.8334 0.000 0.000 0.028 0.972 0.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0510 0.9699 0.984 0.000 0.000 0.000 0.016
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0510 0.9677 0.984 0.000 0.016 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0510 0.8795 0.000 0.984 0.016 0.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.2962 0.6861 0.000 0.048 0.868 0.084 0.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 5 0.0404 0.8602 0.012 0.000 0.000 0.000 0.988
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.1365 0.9592 0.952 0.000 0.004 0.004 0.040
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.0609 0.8788 0.000 0.980 0.020 0.000 0.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.1831 0.9343 0.920 0.000 0.000 0.004 0.076
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.4101 0.3517 0.000 0.628 0.372 0.000 0.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0162 0.8798 0.000 0.996 0.004 0.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.3143 0.7135 0.000 0.796 0.204 0.000 0.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.3143 0.7187 0.000 0.796 0.204 0.000 0.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 3 0.4302 0.2869 0.000 0.480 0.520 0.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0162 0.9705 0.996 0.000 0.000 0.000 0.004
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0671 0.9662 0.980 0.000 0.016 0.000 0.004
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0404 0.8798 0.000 0.988 0.012 0.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 5 0.0162 0.8527 0.004 0.000 0.000 0.000 0.996
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 4 0.4663 0.5707 0.000 0.020 0.376 0.604 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 5 0.2690 0.8282 0.156 0.000 0.000 0.000 0.844
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.4235 0.1311 0.000 0.576 0.424 0.000 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.2504 0.7269 0.000 0.064 0.896 0.040 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.2722 0.7592 0.000 0.108 0.872 0.020 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.1285 0.9604 0.956 0.000 0.004 0.004 0.036
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0162 0.8800 0.000 0.996 0.004 0.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.2329 0.8021 0.000 0.876 0.124 0.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 3 0.4273 0.3795 0.000 0.448 0.552 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.3966 0.4471 0.000 0.664 0.336 0.000 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.4305 0.2254 0.000 0.488 0.512 0.000 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0162 0.9705 0.996 0.000 0.000 0.000 0.004
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.1365 0.9592 0.952 0.000 0.004 0.004 0.040
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.4481 0.7232 0.000 0.232 0.720 0.048 0.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0880 0.8754 0.000 0.968 0.032 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.3143 0.7135 0.000 0.796 0.204 0.000 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 3 0.3464 0.6901 0.000 0.068 0.836 0.096 0.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.1059 0.9657 0.968 0.000 0.008 0.004 0.020
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 3 0.2605 0.7551 0.000 0.148 0.852 0.000 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 5 0.0162 0.8527 0.004 0.000 0.000 0.000 0.996
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0807 0.9700 0.976 0.000 0.012 0.000 0.012
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 3 0.3424 0.7232 0.000 0.240 0.760 0.000 0.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 3 0.4339 0.6288 0.000 0.336 0.652 0.012 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0162 0.8801 0.000 0.996 0.004 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.1041 0.9666 0.964 0.000 0.000 0.004 0.032
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.2574 0.7612 0.000 0.112 0.876 0.012 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.0794 0.8773 0.000 0.972 0.028 0.000 0.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.1443 0.9567 0.948 0.000 0.004 0.004 0.044
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0404 0.8799 0.000 0.988 0.012 0.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0290 0.8802 0.000 0.992 0.008 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.1041 0.9644 0.964 0.000 0.000 0.004 0.032
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.1518 0.9541 0.944 0.000 0.004 0.004 0.048
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.2625 0.7596 0.000 0.108 0.876 0.016 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.1704 0.9418 0.928 0.000 0.000 0.004 0.068
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.2408 0.7520 0.000 0.092 0.892 0.016 0.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 4 0.1478 0.8400 0.000 0.000 0.064 0.936 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 5 0.0404 0.8602 0.012 0.000 0.000 0.000 0.988
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 3 0.2416 0.7567 0.000 0.100 0.888 0.012 0.000
#> B3527517-E339-46AE-8437-65303C309015 4 0.0794 0.8334 0.000 0.000 0.028 0.972 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 3 0.2929 0.7575 0.000 0.180 0.820 0.000 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.1478 0.8400 0.000 0.000 0.064 0.936 0.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0162 0.8801 0.000 0.996 0.004 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0671 0.9662 0.980 0.000 0.016 0.000 0.004
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 3 0.2605 0.7551 0.000 0.148 0.852 0.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 3 0.4283 0.3642 0.000 0.456 0.544 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 4 0.0609 0.8178 0.000 0.000 0.020 0.980 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.2625 0.7596 0.000 0.108 0.876 0.016 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 5 0.2690 0.8282 0.156 0.000 0.000 0.000 0.844
#> FF00E80A-046D-4233-835E-CDF93403EA43 4 0.0794 0.8334 0.000 0.000 0.028 0.972 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0794 0.8773 0.000 0.972 0.028 0.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 3 0.4291 0.3403 0.000 0.464 0.536 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0566 0.9674 0.984 0.000 0.012 0.000 0.004
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0703 0.9685 0.976 0.000 0.000 0.000 0.024
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 4 0.0162 0.8162 0.000 0.000 0.004 0.996 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.1591 0.9518 0.940 0.000 0.004 0.004 0.052
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.1121 0.9608 0.956 0.000 0.000 0.000 0.044
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0162 0.8801 0.000 0.996 0.004 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0566 0.9674 0.984 0.000 0.012 0.000 0.004
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0671 0.9662 0.980 0.000 0.016 0.000 0.004
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.8793 0.000 1.000 0.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 3 0.4268 0.3886 0.000 0.444 0.556 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0566 0.9714 0.984 0.000 0.004 0.000 0.012
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0162 0.8801 0.000 0.996 0.004 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.8793 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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.1501 0.8522 0.000 0.924 0.076 0.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.3330 0.5802 0.000 0.716 0.284 0.000 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 6 0.3817 0.9120 0.432 0.000 0.000 0.000 0.000 0.568
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0713 0.8761 0.000 0.972 0.028 0.000 0.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.1814 0.8306 0.000 0.900 0.100 0.000 0.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.1814 0.8306 0.000 0.900 0.100 0.000 0.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.0692 0.8141 0.000 0.000 0.004 0.976 0.000 0.020
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.5154 0.3520 0.604 0.000 0.000 0.000 0.264 0.132
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.1995 0.6102 0.912 0.000 0.000 0.000 0.036 0.052
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.3881 0.4162 0.000 0.396 0.600 0.000 0.000 0.004
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.4010 0.2236 0.584 0.000 0.000 0.000 0.008 0.408
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.2831 0.5748 0.000 0.000 0.840 0.136 0.000 0.024
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.4010 0.2236 0.584 0.000 0.000 0.000 0.008 0.408
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.3198 0.1828 0.740 0.000 0.000 0.000 0.000 0.260
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.1930 0.6101 0.916 0.000 0.000 0.000 0.036 0.048
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.2260 0.7989 0.000 0.860 0.140 0.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.2631 0.7382 0.000 0.820 0.180 0.000 0.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.1814 0.8302 0.000 0.900 0.100 0.000 0.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.3862 -0.0543 0.000 0.524 0.476 0.000 0.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.8769 0.000 1.000 0.000 0.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 3 0.3789 0.4131 0.000 0.416 0.584 0.000 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.3413 0.5649 0.812 0.000 0.000 0.000 0.080 0.108
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.3244 0.6107 0.000 0.732 0.268 0.000 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.3044 0.5848 0.836 0.000 0.000 0.000 0.048 0.116
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0632 0.8764 0.000 0.976 0.024 0.000 0.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.2386 0.7072 0.000 0.024 0.900 0.052 0.000 0.024
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.1387 0.5877 0.932 0.000 0.000 0.000 0.000 0.068
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.8769 0.000 1.000 0.000 0.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 5 0.3103 0.8683 0.064 0.000 0.000 0.000 0.836 0.100
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 3 0.2728 0.6911 0.000 0.040 0.860 0.100 0.000 0.000
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#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0547 0.8773 0.000 0.980 0.020 0.000 0.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.8769 0.000 1.000 0.000 0.000 0.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.2711 0.6941 0.000 0.024 0.876 0.080 0.000 0.020
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 5 0.0458 0.8971 0.016 0.000 0.000 0.000 0.984 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.0000 0.8769 0.000 1.000 0.000 0.000 0.000 0.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.1930 0.6101 0.916 0.000 0.000 0.000 0.036 0.048
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.0547 0.8772 0.000 0.980 0.020 0.000 0.000 0.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.3384 0.5807 0.812 0.000 0.000 0.000 0.068 0.120
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.3717 0.3653 0.000 0.616 0.384 0.000 0.000 0.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0146 0.8776 0.000 0.996 0.004 0.000 0.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.2854 0.7206 0.000 0.792 0.208 0.000 0.000 0.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.2941 0.7108 0.000 0.780 0.220 0.000 0.000 0.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.8769 0.000 1.000 0.000 0.000 0.000 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 3 0.3828 0.3438 0.000 0.440 0.560 0.000 0.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.3101 0.2405 0.756 0.000 0.000 0.000 0.000 0.244
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 6 0.3860 0.9283 0.472 0.000 0.000 0.000 0.000 0.528
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0458 0.8778 0.000 0.984 0.016 0.000 0.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 5 0.0260 0.8911 0.008 0.000 0.000 0.000 0.992 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 4 0.4110 0.5620 0.000 0.016 0.376 0.608 0.000 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 5 0.3103 0.8683 0.064 0.000 0.000 0.000 0.836 0.100
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.3833 0.1242 0.000 0.556 0.444 0.000 0.000 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.1564 0.7203 0.000 0.024 0.936 0.040 0.000 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.2066 0.7558 0.000 0.072 0.904 0.024 0.000 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.2826 0.5926 0.844 0.000 0.000 0.000 0.028 0.128
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0146 0.8776 0.000 0.996 0.004 0.000 0.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.8769 0.000 1.000 0.000 0.000 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.2300 0.7848 0.000 0.856 0.144 0.000 0.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 3 0.3774 0.4267 0.000 0.408 0.592 0.000 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.3607 0.4552 0.000 0.652 0.348 0.000 0.000 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.3843 0.2774 0.000 0.452 0.548 0.000 0.000 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.3198 0.1828 0.740 0.000 0.000 0.000 0.000 0.260
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.1930 0.6101 0.916 0.000 0.000 0.000 0.036 0.048
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.3864 0.7097 0.000 0.208 0.744 0.048 0.000 0.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0865 0.8730 0.000 0.964 0.036 0.000 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.2854 0.7206 0.000 0.792 0.208 0.000 0.000 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 3 0.2728 0.6911 0.000 0.040 0.860 0.100 0.000 0.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.4010 0.2236 0.584 0.000 0.000 0.000 0.008 0.408
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 3 0.1957 0.7507 0.000 0.112 0.888 0.000 0.000 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 5 0.0260 0.8911 0.008 0.000 0.000 0.000 0.992 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.4093 -0.5383 0.584 0.000 0.000 0.000 0.012 0.404
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 3 0.2793 0.7200 0.000 0.200 0.800 0.000 0.000 0.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 3 0.3766 0.6419 0.000 0.304 0.684 0.012 0.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0146 0.8777 0.000 0.996 0.004 0.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.3470 0.5626 0.772 0.000 0.000 0.000 0.028 0.200
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.1951 0.7578 0.000 0.076 0.908 0.016 0.000 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.0713 0.8761 0.000 0.972 0.028 0.000 0.000 0.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.2972 0.5896 0.836 0.000 0.000 0.000 0.036 0.128
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0363 0.8780 0.000 0.988 0.012 0.000 0.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0260 0.8781 0.000 0.992 0.008 0.000 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.2030 0.6123 0.908 0.000 0.000 0.000 0.028 0.064
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.2912 0.5890 0.844 0.000 0.000 0.000 0.040 0.116
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.1983 0.7562 0.000 0.072 0.908 0.020 0.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.3270 0.5864 0.820 0.000 0.000 0.000 0.060 0.120
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.8769 0.000 1.000 0.000 0.000 0.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.1594 0.7471 0.000 0.052 0.932 0.016 0.000 0.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 4 0.1267 0.8373 0.000 0.000 0.060 0.940 0.000 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 5 0.0458 0.8971 0.016 0.000 0.000 0.000 0.984 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.8769 0.000 1.000 0.000 0.000 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 3 0.1625 0.7521 0.000 0.060 0.928 0.012 0.000 0.000
#> B3527517-E339-46AE-8437-65303C309015 4 0.0632 0.8303 0.000 0.000 0.024 0.976 0.000 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.8769 0.000 1.000 0.000 0.000 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 3 0.2300 0.7537 0.000 0.144 0.856 0.000 0.000 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.1267 0.8373 0.000 0.000 0.060 0.940 0.000 0.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0146 0.8777 0.000 0.996 0.004 0.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 6 0.3862 0.9244 0.476 0.000 0.000 0.000 0.000 0.524
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 3 0.1957 0.7507 0.000 0.112 0.888 0.000 0.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 3 0.3789 0.4131 0.000 0.416 0.584 0.000 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 4 0.0692 0.8141 0.000 0.000 0.004 0.976 0.000 0.020
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.1983 0.7562 0.000 0.072 0.908 0.020 0.000 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 5 0.3103 0.8683 0.064 0.000 0.000 0.000 0.836 0.100
#> FF00E80A-046D-4233-835E-CDF93403EA43 4 0.0632 0.8303 0.000 0.000 0.024 0.976 0.000 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0713 0.8761 0.000 0.972 0.028 0.000 0.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 3 0.3804 0.3917 0.000 0.424 0.576 0.000 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.8769 0.000 1.000 0.000 0.000 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.3804 -0.6061 0.576 0.000 0.000 0.000 0.000 0.424
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.8769 0.000 1.000 0.000 0.000 0.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.8769 0.000 1.000 0.000 0.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.2445 0.5575 0.872 0.000 0.000 0.000 0.020 0.108
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 4 0.0000 0.8123 0.000 0.000 0.000 1.000 0.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.2979 0.5876 0.840 0.000 0.000 0.000 0.044 0.116
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.8769 0.000 1.000 0.000 0.000 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.3422 0.6005 0.788 0.000 0.000 0.000 0.036 0.176
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0146 0.8777 0.000 0.996 0.004 0.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.3804 -0.6061 0.576 0.000 0.000 0.000 0.000 0.424
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 6 0.3864 0.9176 0.480 0.000 0.000 0.000 0.000 0.520
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.8769 0.000 1.000 0.000 0.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 3 0.3765 0.4349 0.000 0.404 0.596 0.000 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.3230 0.5405 0.776 0.000 0.000 0.000 0.012 0.212
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0260 0.8782 0.000 0.992 0.008 0.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.8769 0.000 1.000 0.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "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 17288 rows and 266 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.998 0.999 0.4365 0.563 0.563
#> 3 3 0.770 0.932 0.950 0.4393 0.794 0.635
#> 4 4 0.753 0.668 0.809 0.1207 0.877 0.675
#> 5 5 0.680 0.744 0.788 0.0668 0.896 0.656
#> 6 6 0.687 0.646 0.766 0.0525 0.942 0.760
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.000 1.000 0.0 1.0
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.000 1.000 0.0 1.0
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.000 0.998 1.0 0.0
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.000 1.000 0.0 1.0
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.000 1.000 0.0 1.0
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.000 1.000 0.0 1.0
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.000 1.000 0.0 1.0
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.000 0.998 1.0 0.0
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.000 0.998 1.0 0.0
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.000 1.000 0.0 1.0
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.000 0.998 1.0 0.0
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.000 1.000 0.0 1.0
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.000 0.998 1.0 0.0
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.000 0.998 1.0 0.0
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.000 0.998 1.0 0.0
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.000 1.000 0.0 1.0
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.000 1.000 0.0 1.0
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.000 1.000 0.0 1.0
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.000 1.000 0.0 1.0
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.000 1.000 0.0 1.0
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.000 1.000 0.0 1.0
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#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.000 1.000 0.0 1.0
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.000 0.998 1.0 0.0
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.000 1.000 0.0 1.0
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.000 1.000 0.0 1.0
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.000 0.998 1.0 0.0
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.000 1.000 0.0 1.0
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.000 1.000 0.0 1.0
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.000 0.998 1.0 0.0
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.000 0.998 1.0 0.0
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.000 1.000 0.0 1.0
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.000 0.998 1.0 0.0
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.000 1.000 0.0 1.0
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.000 1.000 0.0 1.0
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.000 1.000 0.0 1.0
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.000 0.998 1.0 0.0
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.000 1.000 0.0 1.0
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.000 1.000 0.0 1.0
#> B3527517-E339-46AE-8437-65303C309015 2 0.000 1.000 0.0 1.0
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.000 1.000 0.0 1.0
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.000 1.000 0.0 1.0
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.000 1.000 0.0 1.0
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.000 1.000 0.0 1.0
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.000 0.998 1.0 0.0
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.000 1.000 0.0 1.0
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.000 1.000 0.0 1.0
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.000 1.000 0.0 1.0
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.000 1.000 0.0 1.0
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.000 0.998 1.0 0.0
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.000 1.000 0.0 1.0
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.000 1.000 0.0 1.0
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.000 1.000 0.0 1.0
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.000 1.000 0.0 1.0
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.000 0.998 1.0 0.0
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.000 1.000 0.0 1.0
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.000 1.000 0.0 1.0
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.000 0.998 1.0 0.0
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.000 1.000 0.0 1.0
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.000 0.998 1.0 0.0
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.000 1.000 0.0 1.0
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.000 0.998 1.0 0.0
#> CE91F591-6072-4D29-9495-C78961635969 2 0.000 1.000 0.0 1.0
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.000 0.998 1.0 0.0
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.000 0.998 1.0 0.0
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.000 1.000 0.0 1.0
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.000 1.000 0.0 1.0
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.000 0.998 1.0 0.0
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.000 1.000 0.0 1.0
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.000 1.000 0.0 1.0
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.9591 0.000 1.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.9591 0.000 1.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9814 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0000 0.9591 0.000 1.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.0000 0.9591 0.000 1.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.0000 0.9591 0.000 1.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.1964 0.9218 0.000 0.056 0.944
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.3116 0.9323 0.892 0.000 0.108
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9814 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.5291 0.5913 0.000 0.732 0.268
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0000 0.9814 1.000 0.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.6307 -0.1097 0.000 0.512 0.488
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0000 0.9814 1.000 0.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9814 1.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9814 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.9591 0.000 1.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.9591 0.000 1.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.0592 0.9487 0.000 0.988 0.012
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0000 0.9591 0.000 1.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.9591 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.9591 0.000 1.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.1753 0.9612 0.952 0.000 0.048
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.9591 0.000 1.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.9814 1.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0000 0.9591 0.000 1.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.3116 0.9777 0.000 0.108 0.892
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.9814 1.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.9591 0.000 1.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.3116 0.9323 0.892 0.000 0.108
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 3 0.3116 0.9777 0.000 0.108 0.892
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.9814 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.3116 0.9777 0.000 0.108 0.892
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 0.9814 1.000 0.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.9814 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.9591 0.000 1.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 3 0.3116 0.9777 0.000 0.108 0.892
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0000 0.9591 0.000 1.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.3116 0.9777 0.000 0.108 0.892
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.0000 0.9591 0.000 1.000 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.3116 0.9323 0.892 0.000 0.108
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.3192 0.9737 0.000 0.112 0.888
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9814 1.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.9591 0.000 1.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.9591 0.000 1.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 3 0.3116 0.9777 0.000 0.108 0.892
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.3116 0.9777 0.000 0.108 0.892
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.9591 0.000 1.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.9591 0.000 1.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 3 0.3116 0.9777 0.000 0.108 0.892
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.3116 0.9323 0.892 0.000 0.108
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.9591 0.000 1.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.9591 0.000 1.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.9814 1.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.9814 1.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.3116 0.9777 0.000 0.108 0.892
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 3 0.3116 0.9777 0.000 0.108 0.892
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.9814 1.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 3 0.3116 0.9777 0.000 0.108 0.892
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0000 0.9591 0.000 1.000 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 3 0.6308 0.2257 0.000 0.492 0.508
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 3 0.4654 0.8583 0.000 0.208 0.792
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.0000 0.9591 0.000 1.000 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.9591 0.000 1.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 3 0.3116 0.9777 0.000 0.108 0.892
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0000 0.9591 0.000 1.000 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.9591 0.000 1.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 2 0.6308 -0.1256 0.000 0.508 0.492
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.9591 0.000 1.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.9814 1.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.9591 0.000 1.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.9814 1.000 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.3116 0.9323 0.892 0.000 0.108
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.0000 0.9591 0.000 1.000 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.3116 0.9777 0.000 0.108 0.892
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 3 0.3116 0.9777 0.000 0.108 0.892
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.9814 1.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.9591 0.000 1.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.3116 0.9777 0.000 0.108 0.892
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.9591 0.000 1.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.3116 0.9777 0.000 0.108 0.892
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.9591 0.000 1.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0000 0.9814 1.000 0.000 0.000
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.0000 0.9591 0.000 1.000 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.9591 0.000 1.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.3116 0.9323 0.892 0.000 0.108
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 3 0.3116 0.9777 0.000 0.108 0.892
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.0000 0.9591 0.000 1.000 0.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.0000 0.9591 0.000 1.000 0.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.3116 0.9777 0.000 0.108 0.892
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.3116 0.9777 0.000 0.108 0.892
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.3116 0.9777 0.000 0.108 0.892
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.9814 1.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.2878 0.8592 0.000 0.904 0.096
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.3116 0.9323 0.892 0.000 0.108
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.9814 1.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.3192 0.9737 0.000 0.112 0.888
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.3116 0.9777 0.000 0.108 0.892
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 0.9814 1.000 0.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.0000 0.9591 0.000 1.000 0.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.9814 1.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 3 0.3116 0.9777 0.000 0.108 0.892
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.0000 0.9591 0.000 1.000 0.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.9814 1.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.9591 0.000 1.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0000 0.9814 1.000 0.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.0000 0.9591 0.000 1.000 0.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.0000 0.9591 0.000 1.000 0.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.9814 1.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 3 0.3116 0.9777 0.000 0.108 0.892
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.0000 0.9591 0.000 1.000 0.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.3116 0.9777 0.000 0.108 0.892
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0000 0.9814 1.000 0.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.9814 1.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0000 0.9814 1.000 0.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.2165 0.8966 0.000 0.936 0.064
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.3816 0.7928 0.000 0.852 0.148
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 3 0.3116 0.9777 0.000 0.108 0.892
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.0000 0.9591 0.000 1.000 0.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.9591 0.000 1.000 0.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.3116 0.8450 0.000 0.892 0.108
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.6286 -0.0841 0.000 0.536 0.464
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.3116 0.9777 0.000 0.108 0.892
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.0000 0.9591 0.000 1.000 0.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.9591 0.000 1.000 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 3 0.3116 0.9777 0.000 0.108 0.892
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0000 0.9591 0.000 1.000 0.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0000 0.9591 0.000 1.000 0.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.3116 0.9777 0.000 0.108 0.892
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.3116 0.9323 0.892 0.000 0.108
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.0747 0.9451 0.000 0.984 0.016
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.3116 0.9777 0.000 0.108 0.892
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.9814 1.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 3 0.3116 0.9777 0.000 0.108 0.892
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.0000 0.9591 0.000 1.000 0.000
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0000 0.9814 1.000 0.000 0.000
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.0000 0.9591 0.000 1.000 0.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.9591 0.000 1.000 0.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.9814 1.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.1529 0.9202 0.000 0.960 0.040
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0000 0.9814 1.000 0.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 3 0.5465 0.7342 0.000 0.288 0.712
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.0000 0.9591 0.000 1.000 0.000
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 3 0.3116 0.9777 0.000 0.108 0.892
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 3 0.3116 0.9777 0.000 0.108 0.892
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.9814 1.000 0.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0000 0.9814 1.000 0.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.0000 0.9591 0.000 1.000 0.000
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.9591 0.000 1.000 0.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0.0000 0.9591 0.000 1.000 0.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.9591 0.000 1.000 0.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.0892 0.8788 0.000 0.020 0.980
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0000 0.9814 1.000 0.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.9591 0.000 1.000 0.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.9814 1.000 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.9814 1.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.0000 0.9591 0.000 1.000 0.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.3116 0.9323 0.892 0.000 0.108
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.0000 0.9591 0.000 1.000 0.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.0000 0.9591 0.000 1.000 0.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0000 0.9591 0.000 1.000 0.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.5291 0.5913 0.000 0.732 0.268
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.9814 1.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 0.9814 1.000 0.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.0592 0.9487 0.000 0.988 0.012
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.3116 0.9777 0.000 0.108 0.892
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.3116 0.9323 0.892 0.000 0.108
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.9814 1.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.9814 1.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0000 0.9591 0.000 1.000 0.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 3 0.3116 0.9777 0.000 0.108 0.892
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.3116 0.9323 0.892 0.000 0.108
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 3 0.3116 0.9777 0.000 0.108 0.892
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.9591 0.000 1.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 3 0.3116 0.9777 0.000 0.108 0.892
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.9814 1.000 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.9814 1.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.9591 0.000 1.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.9591 0.000 1.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.3116 0.9777 0.000 0.108 0.892
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.3116 0.9323 0.892 0.000 0.108
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.0000 0.9591 0.000 1.000 0.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0592 0.9767 0.988 0.000 0.012
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.0000 0.9591 0.000 1.000 0.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.2448 0.9481 0.924 0.000 0.076
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.5291 0.5913 0.000 0.732 0.268
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0000 0.9591 0.000 1.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.0000 0.9591 0.000 1.000 0.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.0592 0.9487 0.000 0.988 0.012
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.9591 0.000 1.000 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.9591 0.000 1.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.9814 1.000 0.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.9814 1.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.9591 0.000 1.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.3116 0.9323 0.892 0.000 0.108
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 3 0.3116 0.9777 0.000 0.108 0.892
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.3116 0.9323 0.892 0.000 0.108
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0000 0.9591 0.000 1.000 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.3116 0.9777 0.000 0.108 0.892
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.3116 0.9777 0.000 0.108 0.892
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.9814 1.000 0.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0000 0.9591 0.000 1.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.9591 0.000 1.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.9591 0.000 1.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.9591 0.000 1.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.0000 0.9591 0.000 1.000 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.0000 0.9591 0.000 1.000 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.9814 1.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.9814 1.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.5431 0.7419 0.000 0.284 0.716
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.9591 0.000 1.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.0000 0.9591 0.000 1.000 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 3 0.3116 0.9777 0.000 0.108 0.892
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0000 0.9814 1.000 0.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0000 0.9591 0.000 1.000 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.3116 0.9323 0.892 0.000 0.108
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.9814 1.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.5397 0.5664 0.000 0.720 0.280
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.9591 0.000 1.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.9591 0.000 1.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.9814 1.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.3116 0.9777 0.000 0.108 0.892
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.0000 0.9591 0.000 1.000 0.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.9814 1.000 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.9591 0.000 1.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.9591 0.000 1.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9814 1.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.9814 1.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.3116 0.9777 0.000 0.108 0.892
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0892 0.9735 0.980 0.000 0.020
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.9591 0.000 1.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.3116 0.9777 0.000 0.108 0.892
#> CAE8097F-A139-4C6E-9E30-35080475FF34 3 0.3116 0.9777 0.000 0.108 0.892
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.3116 0.9323 0.892 0.000 0.108
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.9591 0.000 1.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.6309 -0.1431 0.000 0.504 0.496
#> B3527517-E339-46AE-8437-65303C309015 3 0.3116 0.9777 0.000 0.108 0.892
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.9591 0.000 1.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.4654 0.7017 0.000 0.792 0.208
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.3116 0.9777 0.000 0.108 0.892
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.9591 0.000 1.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9814 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.4291 0.7443 0.000 0.820 0.180
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.9591 0.000 1.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.3116 0.9777 0.000 0.108 0.892
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.3116 0.9777 0.000 0.108 0.892
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.3116 0.9323 0.892 0.000 0.108
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.3116 0.9777 0.000 0.108 0.892
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.9591 0.000 1.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.9591 0.000 1.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.9591 0.000 1.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9814 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.9591 0.000 1.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.9591 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9814 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 3 0.0892 0.8788 0.000 0.020 0.980
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0892 0.9735 0.980 0.000 0.020
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.9591 0.000 1.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.9814 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.9591 0.000 1.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9814 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9814 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.9591 0.000 1.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.6095 0.2084 0.000 0.608 0.392
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9814 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.9591 0.000 1.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.9591 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.2469 0.7578 0.000 0.892 0.000 0.108
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.2868 0.7169 0.000 0.864 0.000 0.136
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0336 0.9055 0.992 0.000 0.008 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.4164 0.4228 0.000 0.736 0.000 0.264
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.4746 0.0867 0.000 0.632 0.000 0.368
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0524 0.8327 0.000 0.004 0.988 0.008
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.4994 0.6083 0.520 0.000 0.000 0.480
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0188 0.9058 0.996 0.000 0.004 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 4 0.6727 0.5589 0.000 0.384 0.096 0.520
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0524 0.9042 0.988 0.000 0.008 0.004
#> 844E4CCD-D30C-416F-A086-8923711A4E25 4 0.7389 0.5563 0.000 0.272 0.212 0.516
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0524 0.9042 0.988 0.000 0.008 0.004
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0188 0.9056 0.996 0.000 0.004 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0188 0.9058 0.996 0.000 0.004 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.2216 0.7779 0.000 0.908 0.000 0.092
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.4941 -0.2053 0.000 0.564 0.000 0.436
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 4 0.4999 0.4429 0.000 0.492 0.000 0.508
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.4996 0.4664 0.000 0.484 0.000 0.516
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.2345 0.7680 0.000 0.900 0.000 0.100
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.4088 0.7772 0.764 0.000 0.004 0.232
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0188 0.9056 0.996 0.000 0.004 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.4998 -0.3948 0.000 0.512 0.000 0.488
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.2255 0.8161 0.000 0.012 0.920 0.068
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0188 0.9058 0.996 0.000 0.004 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.4994 0.6083 0.520 0.000 0.000 0.480
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 3 0.5038 0.5166 0.000 0.012 0.652 0.336
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0336 0.9056 0.992 0.000 0.008 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.0469 0.8405 0.000 0.012 0.988 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0336 0.9055 0.992 0.000 0.008 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0188 0.9058 0.996 0.000 0.004 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 3 0.0469 0.8405 0.000 0.012 0.988 0.000
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#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0188 0.8639 0.000 0.996 0.000 0.004
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 4 0.4996 0.4664 0.000 0.484 0.000 0.516
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 4 0.4998 0.4549 0.000 0.488 0.000 0.512
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 4 0.4996 0.4664 0.000 0.484 0.000 0.516
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0188 0.9056 0.996 0.000 0.004 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0188 0.9058 0.996 0.000 0.004 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.6653 0.0571 0.000 0.084 0.480 0.436
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 4 0.4996 0.4664 0.000 0.484 0.000 0.516
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 3 0.5244 0.4134 0.000 0.012 0.600 0.388
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0336 0.9055 0.992 0.000 0.008 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.4981 -0.3136 0.000 0.536 0.000 0.464
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.5163 0.6046 0.516 0.000 0.004 0.480
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0336 0.9055 0.992 0.000 0.008 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 4 0.6735 0.5589 0.000 0.388 0.096 0.516
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 4 0.4996 0.4664 0.000 0.484 0.000 0.516
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0188 0.9056 0.996 0.000 0.004 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 4 0.5503 -0.0294 0.000 0.016 0.468 0.516
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.0469 0.8569 0.000 0.988 0.000 0.012
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0188 0.9058 0.996 0.000 0.004 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0188 0.9056 0.996 0.000 0.004 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0188 0.9056 0.996 0.000 0.004 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 4 0.5402 -0.0448 0.000 0.012 0.472 0.516
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.3257 0.8268 0.844 0.000 0.004 0.152
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 4 0.5407 -0.0876 0.000 0.012 0.484 0.504
#> CAE8097F-A139-4C6E-9E30-35080475FF34 3 0.0469 0.8405 0.000 0.012 0.988 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.5163 0.6046 0.516 0.000 0.004 0.480
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 4 0.7363 0.5747 0.000 0.284 0.200 0.516
#> B3527517-E339-46AE-8437-65303C309015 3 0.0469 0.8405 0.000 0.012 0.988 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 4 0.6305 0.5366 0.000 0.424 0.060 0.516
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.0657 0.8406 0.000 0.012 0.984 0.004
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0336 0.9055 0.992 0.000 0.008 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 4 0.6419 0.5350 0.000 0.420 0.068 0.512
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.4888 -0.1289 0.000 0.588 0.000 0.412
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0469 0.8405 0.000 0.012 0.988 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.4936 0.5580 0.000 0.012 0.672 0.316
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.4994 0.6083 0.520 0.000 0.000 0.480
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0657 0.8406 0.000 0.012 0.984 0.004
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.2647 0.7410 0.000 0.880 0.000 0.120
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0336 0.9056 0.992 0.000 0.008 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0188 0.9058 0.996 0.000 0.004 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 3 0.0524 0.8327 0.000 0.004 0.988 0.008
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.2466 0.8589 0.900 0.000 0.004 0.096
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0336 0.9044 0.992 0.000 0.000 0.008
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0336 0.9056 0.992 0.000 0.008 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0336 0.9055 0.992 0.000 0.008 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 4 0.7413 0.4826 0.000 0.232 0.252 0.516
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0188 0.9058 0.996 0.000 0.004 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.8670 0.000 1.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.8670 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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.4009 0.5202 0.004 0.684 0.312 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.4610 0.2805 0.016 0.596 0.388 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.5166 0.8953 0.604 0.000 0.044 0.004 0.348
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.2853 0.8338 0.052 0.876 0.072 0.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.5841 0.3306 0.148 0.596 0.256 0.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.6288 -0.1672 0.156 0.472 0.372 0.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.0854 0.8378 0.008 0.012 0.000 0.976 0.004
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 5 0.0000 0.8683 0.000 0.000 0.000 0.000 1.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.4551 0.8979 0.636 0.000 0.008 0.008 0.348
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.7303 0.6663 0.292 0.156 0.488 0.064 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.5787 0.8567 0.564 0.000 0.092 0.004 0.340
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.7439 0.5949 0.300 0.096 0.480 0.124 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.5787 0.8567 0.564 0.000 0.092 0.004 0.340
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.6052 0.8830 0.540 0.000 0.104 0.008 0.348
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.4434 0.8984 0.640 0.000 0.008 0.004 0.348
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.3838 0.5904 0.004 0.716 0.280 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 3 0.4637 0.6317 0.036 0.292 0.672 0.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.6375 0.6788 0.192 0.244 0.556 0.008 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 3 0.4024 0.7224 0.028 0.220 0.752 0.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.4686 0.3076 0.020 0.596 0.384 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 5 0.5887 -0.1402 0.252 0.000 0.156 0.000 0.592
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.2416 0.8323 0.012 0.888 0.100 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.6281 0.8501 0.488 0.000 0.160 0.000 0.352
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 3 0.5405 0.6763 0.104 0.256 0.640 0.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 4 0.4869 0.7297 0.140 0.016 0.096 0.748 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.5155 0.8971 0.596 0.000 0.052 0.000 0.352
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 5 0.0000 0.8683 0.000 0.000 0.000 0.000 1.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 4 0.6274 0.1975 0.096 0.016 0.412 0.476 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.5885 0.8919 0.560 0.000 0.080 0.012 0.348
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 4 0.0798 0.8406 0.008 0.016 0.000 0.976 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.5281 0.8997 0.600 0.000 0.044 0.008 0.348
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.4434 0.8984 0.640 0.000 0.008 0.004 0.348
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.0510 0.8411 0.000 0.016 0.000 0.984 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0579 0.8947 0.008 0.984 0.008 0.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 4 0.5628 0.6631 0.168 0.016 0.140 0.676 0.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 3 0.6120 0.6697 0.176 0.268 0.556 0.000 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 5 0.0000 0.8683 0.000 0.000 0.000 0.000 1.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.6533 0.5007 0.228 0.016 0.556 0.200 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.4283 0.8974 0.644 0.000 0.008 0.000 0.348
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 4 0.1018 0.8385 0.000 0.016 0.016 0.968 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.6328 0.3847 0.120 0.016 0.324 0.540 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 3 0.5066 0.5416 0.064 0.016 0.708 0.212 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 5 0.2130 0.8019 0.012 0.000 0.080 0.000 0.908
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.3861 0.5745 0.004 0.712 0.284 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.4633 0.8998 0.632 0.000 0.016 0.004 0.348
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.4920 0.8949 0.620 0.000 0.024 0.008 0.348
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.6221 0.5220 0.180 0.016 0.604 0.200 0.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 4 0.0671 0.8419 0.000 0.016 0.004 0.980 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.6281 0.8501 0.488 0.000 0.160 0.000 0.352
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 3 0.6059 0.2226 0.088 0.016 0.552 0.344 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.4101 0.7125 0.048 0.768 0.184 0.000 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 3 0.4799 0.6812 0.020 0.112 0.760 0.108 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 3 0.4771 0.6194 0.028 0.052 0.752 0.168 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.6318 0.3733 0.156 0.400 0.444 0.000 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.3789 0.6810 0.016 0.760 0.224 0.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 4 0.0510 0.8411 0.000 0.016 0.000 0.984 0.000
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.7427 0.5962 0.276 0.096 0.496 0.132 0.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.6322 0.8629 0.508 0.000 0.132 0.008 0.352
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 3 0.3849 0.7161 0.016 0.232 0.752 0.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.6132 0.8574 0.508 0.000 0.140 0.000 0.352
#> FE298483-C42C-4753-BABB-29A9CB1B6312 5 0.0000 0.8683 0.000 0.000 0.000 0.000 1.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.6374 0.6350 0.208 0.280 0.512 0.000 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 4 0.0510 0.8411 0.000 0.016 0.000 0.984 0.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 3 0.4537 0.5676 0.036 0.016 0.744 0.204 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.5785 0.8905 0.564 0.000 0.080 0.008 0.348
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 4 0.4752 0.7420 0.144 0.016 0.084 0.756 0.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0324 0.8969 0.004 0.992 0.004 0.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 4 0.0798 0.8406 0.008 0.016 0.000 0.976 0.000
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.5875 0.8599 0.556 0.000 0.100 0.004 0.340
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.6374 0.6350 0.208 0.280 0.512 0.000 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 5 0.0324 0.8674 0.000 0.000 0.004 0.004 0.992
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 3 0.5233 0.5367 0.080 0.016 0.700 0.204 0.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.5641 0.3874 0.120 0.612 0.268 0.000 0.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.4121 0.7193 0.112 0.788 0.100 0.000 0.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.5408 0.5304 0.096 0.016 0.688 0.200 0.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.6511 0.5044 0.224 0.016 0.560 0.200 0.000
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#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 5 0.0000 0.8683 0.000 0.000 0.000 0.000 1.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 4 0.1074 0.8414 0.012 0.016 0.004 0.968 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.1981 0.8600 0.016 0.920 0.064 0.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.4457 0.3620 0.012 0.620 0.368 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.5885 0.8919 0.560 0.000 0.080 0.012 0.348
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0566 0.8944 0.012 0.984 0.004 0.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.4434 0.8984 0.640 0.000 0.008 0.004 0.348
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 4 0.0902 0.8324 0.004 0.008 0.004 0.976 0.008
#> 899CB9E0-48D0-413D-8566-BC151F146453 5 0.6267 -0.6954 0.404 0.000 0.148 0.000 0.448
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.5094 0.8966 0.600 0.000 0.048 0.000 0.352
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.5885 0.8919 0.560 0.000 0.080 0.012 0.348
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.4749 0.8934 0.628 0.000 0.016 0.008 0.348
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 3 0.4761 0.6965 0.020 0.136 0.760 0.084 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.4434 0.8982 0.640 0.000 0.008 0.004 0.348
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.8994 0.000 1.000 0.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.8994 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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.4370 0.19686 0.000 0.536 0.004 0.444 0.000 0.016
#> 87117BE1-D328-4972-85DA-6672412D8860 4 0.4315 -0.04764 0.000 0.488 0.004 0.496 0.000 0.012
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.2390 0.83581 0.888 0.000 0.056 0.056 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.4827 0.69324 0.000 0.720 0.072 0.048 0.000 0.160
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.7459 -0.09687 0.000 0.380 0.256 0.188 0.000 0.176
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.7622 -0.31083 0.000 0.308 0.280 0.236 0.000 0.176
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 5 0.0405 0.85186 0.000 0.000 0.004 0.000 0.988 0.008
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 6 0.3221 0.96295 0.264 0.000 0.000 0.000 0.000 0.736
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0692 0.83499 0.976 0.000 0.020 0.004 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.6724 0.44636 0.000 0.076 0.544 0.252 0.028 0.100
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.2881 0.79878 0.864 0.000 0.084 0.040 0.000 0.012
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.6143 0.48886 0.000 0.044 0.604 0.244 0.060 0.048
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.2881 0.79878 0.864 0.000 0.084 0.040 0.000 0.012
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.3730 0.81888 0.772 0.000 0.168 0.060 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0692 0.83499 0.976 0.000 0.020 0.004 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.4223 0.41182 0.000 0.612 0.004 0.368 0.000 0.016
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.3056 0.50822 0.000 0.184 0.008 0.804 0.000 0.004
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.7356 0.25983 0.000 0.144 0.352 0.328 0.000 0.176
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.3236 0.56085 0.000 0.104 0.020 0.840 0.000 0.036
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 4 0.3955 0.13921 0.000 0.436 0.000 0.560 0.000 0.004
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.5738 0.24400 0.516 0.000 0.244 0.000 0.000 0.240
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.3405 0.59928 0.000 0.724 0.000 0.272 0.000 0.004
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.3101 0.79883 0.756 0.000 0.244 0.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 4 0.6525 0.19623 0.000 0.120 0.196 0.552 0.000 0.132
#> 61130DEE-E267-49DF-8B41-7738A06EF738 5 0.5248 0.43824 0.000 0.000 0.336 0.088 0.568 0.008
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.2250 0.83293 0.888 0.000 0.092 0.020 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 6 0.3221 0.96295 0.264 0.000 0.000 0.000 0.000 0.736
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 4 0.4993 0.20846 0.000 0.000 0.080 0.600 0.316 0.004
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.3453 0.82295 0.804 0.000 0.132 0.064 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 5 0.0146 0.85336 0.000 0.000 0.000 0.000 0.996 0.004
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.2294 0.84163 0.892 0.000 0.072 0.036 0.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0692 0.83499 0.976 0.000 0.020 0.004 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 5 0.0000 0.85345 0.000 0.000 0.000 0.000 1.000 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.2209 0.81995 0.000 0.900 0.004 0.024 0.000 0.072
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 5 0.5529 0.35159 0.000 0.000 0.388 0.096 0.504 0.012
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 4 0.7378 -0.15563 0.000 0.160 0.300 0.372 0.000 0.168
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 6 0.3221 0.96295 0.264 0.000 0.000 0.000 0.000 0.736
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.5566 0.46563 0.000 0.000 0.548 0.332 0.104 0.016
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.1225 0.83363 0.952 0.000 0.036 0.012 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0146 0.85891 0.000 0.996 0.000 0.000 0.000 0.004
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 5 0.0458 0.84398 0.000 0.000 0.000 0.016 0.984 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 5 0.6066 -0.10211 0.000 0.000 0.268 0.340 0.392 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0146 0.85891 0.000 0.996 0.000 0.000 0.000 0.004
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0146 0.85875 0.000 0.996 0.000 0.000 0.000 0.004
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 4 0.3076 0.46931 0.000 0.000 0.044 0.840 0.112 0.004
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 6 0.5320 0.80480 0.288 0.000 0.140 0.000 0.000 0.572
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.4074 0.49408 0.000 0.656 0.004 0.324 0.000 0.016
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0972 0.83559 0.964 0.000 0.028 0.008 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.1723 0.82976 0.928 0.000 0.036 0.036 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 4 0.5985 -0.07348 0.000 0.000 0.340 0.516 0.104 0.040
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 5 0.0291 0.85256 0.000 0.000 0.004 0.000 0.992 0.004
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.3101 0.79883 0.756 0.000 0.244 0.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 4 0.3660 0.41531 0.000 0.000 0.060 0.780 0.160 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.5580 0.56498 0.000 0.636 0.056 0.216 0.000 0.092
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 4 0.2713 0.55130 0.000 0.052 0.016 0.880 0.052 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 4 0.2637 0.50278 0.000 0.008 0.024 0.872 0.096 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.7648 0.13687 0.000 0.268 0.284 0.272 0.000 0.176
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.4144 0.32682 0.000 0.580 0.004 0.408 0.000 0.008
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 5 0.0000 0.85345 0.000 0.000 0.000 0.000 1.000 0.000
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.6422 0.46574 0.000 0.036 0.552 0.284 0.084 0.044
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0146 0.85891 0.000 0.996 0.000 0.000 0.000 0.004
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.3320 0.80756 0.772 0.000 0.212 0.016 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 4 0.2243 0.56828 0.000 0.112 0.004 0.880 0.000 0.004
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.3215 0.79855 0.756 0.000 0.240 0.000 0.000 0.004
#> FE298483-C42C-4753-BABB-29A9CB1B6312 6 0.3221 0.96295 0.264 0.000 0.000 0.000 0.000 0.736
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.7132 0.34059 0.000 0.120 0.420 0.292 0.000 0.168
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 5 0.0000 0.85345 0.000 0.000 0.000 0.000 1.000 0.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 4 0.2558 0.48927 0.000 0.000 0.028 0.868 0.104 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.3054 0.82941 0.828 0.000 0.136 0.036 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 5 0.5307 0.44681 0.000 0.000 0.356 0.080 0.552 0.012
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.1053 0.84800 0.000 0.964 0.004 0.020 0.000 0.012
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 5 0.0405 0.85186 0.000 0.000 0.004 0.000 0.988 0.008
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0146 0.85891 0.000 0.996 0.000 0.000 0.000 0.004
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.3499 0.79485 0.812 0.000 0.132 0.044 0.000 0.012
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.7132 0.34059 0.000 0.120 0.420 0.292 0.000 0.168
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 6 0.3221 0.96295 0.264 0.000 0.000 0.000 0.000 0.736
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 4 0.4207 0.37976 0.000 0.000 0.144 0.748 0.104 0.004
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.7201 0.15732 0.000 0.444 0.228 0.156 0.000 0.172
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.6153 0.47481 0.000 0.580 0.152 0.064 0.000 0.204
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 4 0.4599 0.26282 0.000 0.000 0.212 0.684 0.104 0.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.5583 0.42360 0.000 0.000 0.508 0.376 0.104 0.012
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.5553 0.43715 0.000 0.000 0.524 0.360 0.104 0.012
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.2350 0.83302 0.888 0.000 0.036 0.076 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 4 0.3571 0.55287 0.000 0.088 0.052 0.832 0.016 0.012
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 6 0.4769 0.88671 0.264 0.000 0.092 0.000 0.000 0.644
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.1890 0.84692 0.916 0.000 0.060 0.024 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.5566 0.46413 0.000 0.000 0.548 0.332 0.104 0.016
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 5 0.4749 0.51593 0.000 0.000 0.332 0.048 0.612 0.008
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.2325 0.83528 0.892 0.000 0.048 0.060 0.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 4 0.5647 0.37809 0.000 0.104 0.176 0.648 0.000 0.072
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.3453 0.82295 0.804 0.000 0.132 0.064 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 5 0.0000 0.85345 0.000 0.000 0.000 0.000 1.000 0.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.7646 0.13261 0.000 0.280 0.284 0.260 0.000 0.176
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.3352 0.81839 0.792 0.000 0.176 0.032 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0146 0.85875 0.000 0.996 0.000 0.000 0.000 0.004
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.2250 0.83293 0.888 0.000 0.092 0.020 0.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.7491 -0.10996 0.000 0.372 0.248 0.168 0.000 0.212
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 4 0.6322 0.18714 0.000 0.376 0.068 0.460 0.000 0.096
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0858 0.83654 0.968 0.000 0.028 0.004 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 5 0.0000 0.85345 0.000 0.000 0.000 0.000 1.000 0.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.5888 0.55424 0.000 0.616 0.144 0.060 0.000 0.180
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.5890 0.37064 0.000 0.000 0.472 0.288 0.240 0.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.3126 0.79944 0.752 0.000 0.248 0.000 0.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.2942 0.83140 0.836 0.000 0.132 0.032 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.3101 0.79883 0.756 0.000 0.244 0.000 0.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 4 0.5208 0.38899 0.000 0.096 0.204 0.672 0.008 0.020
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.6164 0.45564 0.000 0.088 0.576 0.268 0.016 0.052
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 5 0.0291 0.85256 0.000 0.000 0.004 0.000 0.992 0.004
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.3575 0.77403 0.000 0.824 0.056 0.028 0.000 0.092
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0146 0.85891 0.000 0.996 0.000 0.000 0.000 0.004
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.6122 0.45148 0.000 0.092 0.576 0.268 0.012 0.052
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 4 0.3331 0.53571 0.000 0.056 0.016 0.836 0.092 0.000
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.6034 0.20275 0.000 0.000 0.476 0.180 0.332 0.012
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.6739 0.37595 0.000 0.524 0.176 0.120 0.000 0.180
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0146 0.85891 0.000 0.996 0.000 0.000 0.000 0.004
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#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 4 0.4897 0.42234 0.000 0.104 0.172 0.700 0.000 0.024
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#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.7131 0.31021 0.000 0.104 0.384 0.332 0.000 0.180
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#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 4 0.6540 0.26932 0.000 0.196 0.176 0.540 0.000 0.088
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 6 0.3221 0.96295 0.264 0.000 0.000 0.000 0.000 0.736
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.1297 0.83064 0.948 0.000 0.040 0.012 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 4 0.5019 0.43856 0.000 0.076 0.176 0.708 0.028 0.012
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 4 0.1863 0.57130 0.000 0.104 0.000 0.896 0.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0146 0.85891 0.000 0.996 0.000 0.000 0.000 0.004
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.3409 0.81281 0.780 0.000 0.192 0.028 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 4 0.4856 0.27554 0.000 0.000 0.200 0.684 0.104 0.012
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.5044 0.67592 0.000 0.704 0.080 0.056 0.000 0.160
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.1866 0.83133 0.908 0.000 0.084 0.008 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.3352 0.81839 0.792 0.000 0.176 0.032 0.000 0.000
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#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.5241 0.43218 0.000 0.000 0.532 0.364 0.104 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.5455 0.55344 0.608 0.000 0.232 0.012 0.000 0.148
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.3803 0.76407 0.000 0.808 0.028 0.072 0.000 0.092
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.5664 0.41831 0.000 0.000 0.504 0.360 0.128 0.008
#> CAE8097F-A139-4C6E-9E30-35080475FF34 5 0.0000 0.85345 0.000 0.000 0.000 0.000 1.000 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 6 0.3221 0.96295 0.264 0.000 0.000 0.000 0.000 0.736
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 4 0.4895 0.43600 0.000 0.044 0.144 0.736 0.060 0.016
#> B3527517-E339-46AE-8437-65303C309015 5 0.0146 0.85336 0.000 0.000 0.000 0.000 0.996 0.004
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0146 0.85891 0.000 0.996 0.000 0.000 0.000 0.004
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 4 0.6042 0.33351 0.000 0.084 0.216 0.620 0.020 0.060
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 5 0.1411 0.82401 0.000 0.000 0.060 0.004 0.936 0.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.1408 0.82886 0.944 0.000 0.036 0.020 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 4 0.5925 0.38842 0.000 0.100 0.196 0.632 0.012 0.060
#> B4E02660-562F-4EAC-8472-CBBD8A577688 4 0.2346 0.56694 0.000 0.124 0.008 0.868 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 5 0.0405 0.85186 0.000 0.000 0.004 0.000 0.988 0.008
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.6087 0.28676 0.000 0.000 0.392 0.316 0.292 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 6 0.3221 0.96295 0.264 0.000 0.000 0.000 0.000 0.736
#> FF00E80A-046D-4233-835E-CDF93403EA43 5 0.0692 0.84703 0.000 0.000 0.020 0.000 0.976 0.004
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.3959 0.75358 0.000 0.784 0.024 0.052 0.000 0.140
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 4 0.4217 0.03517 0.000 0.464 0.004 0.524 0.000 0.008
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.3453 0.82295 0.804 0.000 0.132 0.064 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.2174 0.81713 0.000 0.896 0.008 0.008 0.000 0.088
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0692 0.83499 0.976 0.000 0.020 0.004 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 5 0.0000 0.85345 0.000 0.000 0.000 0.000 1.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.4617 0.69059 0.664 0.000 0.252 0.000 0.000 0.084
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.2163 0.83136 0.892 0.000 0.096 0.008 0.000 0.004
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.3453 0.82295 0.804 0.000 0.132 0.064 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.1320 0.82867 0.948 0.000 0.036 0.016 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0146 0.85891 0.000 0.996 0.000 0.000 0.000 0.004
#> BAB786B9-6C20-425D-9886-63A0A092B59B 4 0.2706 0.55649 0.000 0.060 0.016 0.880 0.044 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.1176 0.84029 0.956 0.000 0.024 0.020 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.85960 0.000 1.000 0.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "skmeans"]
# you can also extract it by
# res = res_list["ATC:skmeans"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17288 rows and 266 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 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 0.990 0.996 0.4649 0.535 0.535
#> 3 3 0.960 0.934 0.974 0.3268 0.823 0.676
#> 4 4 0.880 0.857 0.937 0.1210 0.914 0.778
#> 5 5 0.793 0.773 0.870 0.0716 0.921 0.756
#> 6 6 0.834 0.822 0.888 0.0523 0.941 0.777
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.998 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.998 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.993 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0000 0.998 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.0000 0.998 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.0000 0.998 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 1 0.0000 0.993 1.000 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.993 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.993 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.0000 0.998 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0000 0.993 1.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.0000 0.998 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0000 0.993 1.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.993 1.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.993 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.998 0.000 1.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.998 0.000 1.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.0000 0.998 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0000 0.998 0.000 1.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.998 0.000 1.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.998 0.000 1.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.993 1.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.998 0.000 1.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.993 1.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0000 0.998 0.000 1.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.0000 0.998 0.000 1.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.993 1.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.998 0.000 1.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.993 1.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.998 0.000 1.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.993 1.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.9686 0.332 0.396 0.604
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 0.993 1.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.993 1.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.998 0.000 1.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 1 0.0000 0.993 1.000 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0000 0.998 0.000 1.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 1 0.0000 0.993 1.000 0.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.0000 0.998 0.000 1.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.993 1.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.0000 0.998 0.000 1.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.993 1.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.998 0.000 1.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.998 0.000 1.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0000 0.998 0.000 1.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.0000 0.998 0.000 1.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.998 0.000 1.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.998 0.000 1.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.0000 0.998 0.000 1.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.993 1.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.998 0.000 1.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.998 0.000 1.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.993 1.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.993 1.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.0000 0.998 0.000 1.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.0000 0.998 0.000 1.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.993 1.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0000 0.998 0.000 1.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0000 0.998 0.000 1.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.998 0.000 1.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.998 0.000 1.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.0000 0.998 0.000 1.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.998 0.000 1.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 1 0.2423 0.955 0.960 0.040
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0000 0.998 0.000 1.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.998 0.000 1.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 1 0.0376 0.989 0.996 0.004
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.998 0.000 1.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.993 1.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.998 0.000 1.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.993 1.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.993 1.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.0000 0.998 0.000 1.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.0000 0.998 0.000 1.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.0000 0.998 0.000 1.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.993 1.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.998 0.000 1.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 1 0.0000 0.993 1.000 0.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.998 0.000 1.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 1 0.6887 0.780 0.816 0.184
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.998 0.000 1.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0000 0.993 1.000 0.000
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.0000 0.998 0.000 1.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.998 0.000 1.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 0.993 1.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.0000 0.998 0.000 1.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.0000 0.998 0.000 1.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.0000 0.998 0.000 1.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.0000 0.998 0.000 1.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.0000 0.998 0.000 1.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0.0000 0.998 0.000 1.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.993 1.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.0000 0.998 0.000 1.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0000 0.993 1.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.993 1.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.0000 0.998 0.000 1.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0.0000 0.998 0.000 1.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 0.993 1.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.0000 0.998 0.000 1.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.993 1.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.0000 0.998 0.000 1.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.0000 0.998 0.000 1.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.993 1.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.998 0.000 1.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0000 0.993 1.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.0000 0.998 0.000 1.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.0000 0.998 0.000 1.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.993 1.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 2 0.0000 0.998 0.000 1.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.0000 0.998 0.000 1.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0.0000 0.998 0.000 1.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0000 0.993 1.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.993 1.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0000 0.993 1.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.0000 0.998 0.000 1.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.0000 0.998 0.000 1.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.0000 0.998 0.000 1.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.0000 0.998 0.000 1.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.998 0.000 1.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.0000 0.998 0.000 1.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.0000 0.998 0.000 1.000
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 2 0.0000 0.998 0.000 1.000
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.0000 0.998 0.000 1.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.998 0.000 1.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.0000 0.998 0.000 1.000
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0000 0.998 0.000 1.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0000 0.998 0.000 1.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0.0000 0.998 0.000 1.000
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.993 1.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.0000 0.998 0.000 1.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 2 0.0000 0.998 0.000 1.000
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.993 1.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.0000 0.998 0.000 1.000
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.0000 0.998 0.000 1.000
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0000 0.993 1.000 0.000
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.0000 0.998 0.000 1.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.998 0.000 1.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.993 1.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0000 0.998 0.000 1.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0000 0.993 1.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.0000 0.998 0.000 1.000
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.0000 0.998 0.000 1.000
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 1 0.3733 0.921 0.928 0.072
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.0000 0.998 0.000 1.000
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.993 1.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0000 0.993 1.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.0000 0.998 0.000 1.000
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.998 0.000 1.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0.0000 0.998 0.000 1.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.998 0.000 1.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 1 0.0000 0.993 1.000 0.000
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0000 0.993 1.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.998 0.000 1.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.993 1.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.993 1.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.0000 0.998 0.000 1.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0000 0.993 1.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.0000 0.998 0.000 1.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.0000 0.998 0.000 1.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0000 0.998 0.000 1.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.0000 0.998 0.000 1.000
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.993 1.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 0.993 1.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.0000 0.998 0.000 1.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0.0000 0.998 0.000 1.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0000 0.993 1.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.993 1.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.993 1.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0000 0.998 0.000 1.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 1 0.1184 0.978 0.984 0.016
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 0.993 1.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.0000 0.998 0.000 1.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.998 0.000 1.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 1 0.7528 0.731 0.784 0.216
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.993 1.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.993 1.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.998 0.000 1.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.998 0.000 1.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.0000 0.998 0.000 1.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0000 0.993 1.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.0000 0.998 0.000 1.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.993 1.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.0000 0.998 0.000 1.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0000 0.993 1.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.0000 0.998 0.000 1.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0000 0.998 0.000 1.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.0000 0.998 0.000 1.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.0000 0.998 0.000 1.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.998 0.000 1.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.998 0.000 1.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.993 1.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.993 1.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.998 0.000 1.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0000 0.993 1.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0000 0.998 0.000 1.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 0.993 1.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0000 0.998 0.000 1.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.0000 0.998 0.000 1.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.0000 0.998 0.000 1.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.993 1.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0000 0.998 0.000 1.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.998 0.000 1.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.998 0.000 1.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.998 0.000 1.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.0000 0.998 0.000 1.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.0000 0.998 0.000 1.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.993 1.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.993 1.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.0000 0.998 0.000 1.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.998 0.000 1.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.0000 0.998 0.000 1.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.0000 0.998 0.000 1.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0000 0.993 1.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0000 0.998 0.000 1.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.993 1.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.993 1.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.0000 0.998 0.000 1.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.998 0.000 1.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.998 0.000 1.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.993 1.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.0000 0.998 0.000 1.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.0000 0.998 0.000 1.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.993 1.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.998 0.000 1.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.998 0.000 1.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.993 1.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.993 1.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.0000 0.998 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.993 1.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.998 0.000 1.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.0000 0.998 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0000 0.998 0.000 1.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.993 1.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.998 0.000 1.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0000 0.998 0.000 1.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.0000 0.998 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.998 0.000 1.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0000 0.998 0.000 1.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.0000 0.998 0.000 1.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.998 0.000 1.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.993 1.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0000 0.998 0.000 1.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.998 0.000 1.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 1 0.6887 0.780 0.816 0.184
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.0000 0.998 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.993 1.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.0000 0.998 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.998 0.000 1.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.998 0.000 1.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.998 0.000 1.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.993 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.998 0.000 1.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.998 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.993 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 1 0.0000 0.993 1.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.993 1.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.998 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.993 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.998 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.993 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.993 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.998 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.998 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.993 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.998 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.998 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.000 0.976 0.000 1.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.000 0.976 0.000 1.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.000 0.995 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.000 0.976 0.000 1.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.000 0.976 0.000 1.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.000 0.976 0.000 1.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.000 0.905 0.000 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.000 0.995 1.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.000 0.995 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.000 0.976 0.000 1.000 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.000 0.995 1.000 0.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.000 0.976 0.000 1.000 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.000 0.995 1.000 0.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.000 0.995 1.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.000 0.995 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.000 0.976 0.000 1.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.000 0.976 0.000 1.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.000 0.976 0.000 1.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.000 0.976 0.000 1.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.000 0.976 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.000 0.976 0.000 1.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.000 0.995 1.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.000 0.976 0.000 1.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.000 0.995 1.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.000 0.976 0.000 1.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.000 0.905 0.000 0.000 1.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.000 0.995 1.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.000 0.976 0.000 1.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.000 0.995 1.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 3 0.455 0.759 0.000 0.200 0.800
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.000 0.995 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.000 0.905 0.000 0.000 1.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.000 0.995 1.000 0.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.000 0.995 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.000 0.976 0.000 1.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 3 0.000 0.905 0.000 0.000 1.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.000 0.976 0.000 1.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 1 0.543 0.596 0.716 0.000 0.284
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.000 0.976 0.000 1.000 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.000 0.995 1.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.103 0.952 0.000 0.976 0.024
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.000 0.995 1.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.000 0.976 0.000 1.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.000 0.976 0.000 1.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 3 0.000 0.905 0.000 0.000 1.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.000 0.905 0.000 0.000 1.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.000 0.976 0.000 1.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.000 0.976 0.000 1.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 3 0.631 0.133 0.000 0.492 0.508
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.000 0.995 1.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.000 0.976 0.000 1.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.000 0.976 0.000 1.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.000 0.995 1.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.000 0.995 1.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.630 0.163 0.000 0.484 0.516
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 3 0.000 0.905 0.000 0.000 1.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.000 0.995 1.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 3 0.440 0.771 0.000 0.188 0.812
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.000 0.976 0.000 1.000 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.455 0.719 0.000 0.800 0.200
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.624 0.115 0.000 0.560 0.440
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.000 0.976 0.000 1.000 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.000 0.976 0.000 1.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 3 0.000 0.905 0.000 0.000 1.000
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.000 0.976 0.000 1.000 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.000 0.976 0.000 1.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 1 0.116 0.959 0.972 0.028 0.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.000 0.976 0.000 1.000 0.000
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#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.000 0.976 0.000 1.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.000 0.976 0.000 1.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.000 0.995 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.000 0.976 0.000 1.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.000 0.976 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.000 0.995 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 3 0.000 0.905 0.000 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.000 0.995 1.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.000 0.976 0.000 1.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.000 0.995 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.000 0.976 0.000 1.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.000 0.995 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.000 0.995 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.000 0.976 0.000 1.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.455 0.719 0.000 0.800 0.200
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.000 0.995 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.000 0.976 0.000 1.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.000 0.976 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.1022 0.9129 0.000 0.968 0.032 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.1211 0.9023 0.000 0.960 0.040 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.1302 0.8988 0.000 0.956 0.044 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.3311 0.7139 0.000 0.172 0.828 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.3311 0.7139 0.000 0.172 0.828 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.1022 0.9129 0.000 0.968 0.032 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.4040 0.6086 0.000 0.752 0.248 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.1716 0.8877 0.000 0.936 0.064 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.1867 0.8808 0.000 0.928 0.072 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.1022 0.9129 0.000 0.968 0.032 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 4 0.2973 0.7772 0.000 0.000 0.144 0.856
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 4 0.6133 0.5073 0.000 0.188 0.136 0.676
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 1 0.5062 0.6915 0.752 0.000 0.064 0.184
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0188 0.7254 0.000 0.004 0.996 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.3610 0.7298 0.000 0.000 0.200 0.800
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.7362 0.0393 0.000 0.464 0.164 0.372
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.3105 0.7137 0.000 0.140 0.856 0.004
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 4 0.6429 0.5024 0.000 0.160 0.192 0.648
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.6362 0.5000 0.000 0.656 0.168 0.176
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.7386 0.0428 0.000 0.464 0.168 0.368
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.1716 0.8799 0.000 0.936 0.064 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.1022 0.9129 0.000 0.968 0.032 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 1 0.1510 0.9520 0.956 0.016 0.028 0.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.1716 0.8877 0.000 0.936 0.064 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.3356 0.7135 0.000 0.176 0.824 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.7386 0.0428 0.000 0.464 0.168 0.368
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 4 0.4764 0.5784 0.220 0.000 0.032 0.748
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.3356 0.7135 0.000 0.176 0.824 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 3 0.5649 0.0921 0.000 0.028 0.580 0.392
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.4866 0.1982 0.000 0.596 0.404 0.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.4761 0.2679 0.000 0.004 0.664 0.332
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.0188 0.7254 0.000 0.004 0.996 0.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.1118 0.7110 0.000 0.000 0.964 0.036
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 3 0.4661 0.4995 0.000 0.348 0.652 0.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.0188 0.7254 0.000 0.004 0.996 0.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 4 0.4072 0.6725 0.000 0.000 0.252 0.748
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.1637 0.8840 0.000 0.940 0.060 0.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.0469 0.9240 0.000 0.988 0.012 0.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.1022 0.9129 0.000 0.968 0.032 0.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.0336 0.9262 0.000 0.992 0.008 0.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.4277 0.4080 0.000 0.000 0.720 0.280
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.4250 0.6068 0.000 0.276 0.724 0.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.2081 0.7409 0.000 0.084 0.916 0.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.0336 0.9264 0.000 0.992 0.008 0.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.1792 0.7410 0.000 0.068 0.932 0.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.7356 0.0544 0.000 0.468 0.164 0.368
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.2704 0.6636 0.000 0.000 0.876 0.124
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.0592 0.9212 0.000 0.984 0.016 0.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 4 0.2868 0.7659 0.000 0.000 0.136 0.864
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.2149 0.8657 0.000 0.912 0.088 0.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 4 0.3569 0.7348 0.000 0.000 0.196 0.804
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 3 0.2868 0.7198 0.000 0.136 0.864 0.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.2281 0.6830 0.000 0.000 0.904 0.096
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.0188 0.9286 0.000 0.996 0.004 0.000
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.3610 0.7343 0.000 0.800 0.200 0.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.6400 0.4927 0.000 0.652 0.168 0.180
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.1716 0.8877 0.000 0.936 0.064 0.000
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 4 0.0188 0.8558 0.000 0.000 0.004 0.996
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 4 0.6790 0.4159 0.000 0.200 0.192 0.608
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.3219 0.7761 0.000 0.836 0.164 0.000
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.4331 0.6538 0.000 0.288 0.712 0.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.0592 0.9212 0.000 0.984 0.016 0.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.1022 0.9129 0.000 0.968 0.032 0.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.0188 0.9286 0.000 0.996 0.004 0.000
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.1940 0.8767 0.000 0.924 0.076 0.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.2888 0.6382 0.000 0.004 0.872 0.124
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 1 0.2207 0.9198 0.932 0.040 0.024 0.004
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 4 0.4304 0.6557 0.000 0.000 0.284 0.716
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 4 0.4855 0.4026 0.000 0.000 0.400 0.600
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.1867 0.7414 0.000 0.072 0.928 0.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.4454 0.6344 0.000 0.308 0.692 0.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.4679 0.3854 0.000 0.648 0.352 0.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.1867 0.8809 0.000 0.928 0.072 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0707 0.9751 0.980 0.000 0.000 0.020
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.3266 0.7710 0.000 0.832 0.168 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 4 0.3688 0.7231 0.000 0.000 0.208 0.792
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.4790 0.1496 0.000 0.000 0.620 0.380
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0921 0.9154 0.000 0.972 0.028 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.2149 0.8657 0.000 0.912 0.088 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.4331 0.6538 0.000 0.288 0.712 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.3266 0.7006 0.000 0.168 0.832 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 4 0.7216 0.2638 0.000 0.284 0.180 0.536
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.4331 0.6540 0.000 0.288 0.712 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 4 0.5546 0.6194 0.000 0.052 0.268 0.680
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0188 0.9286 0.000 0.996 0.004 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.4961 0.1768 0.000 0.552 0.448 0.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.2281 0.8575 0.000 0.904 0.096 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.0657 0.7227 0.000 0.004 0.984 0.012
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0188 0.7254 0.000 0.004 0.996 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.2593 0.6706 0.000 0.004 0.892 0.104
#> CAE8097F-A139-4C6E-9E30-35080475FF34 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 3 0.3873 0.6509 0.000 0.228 0.772 0.000
#> B3527517-E339-46AE-8437-65303C309015 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.1211 0.9072 0.000 0.960 0.040 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0188 0.9286 0.000 0.996 0.004 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.3219 0.7763 0.000 0.836 0.164 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 4 0.4866 0.4665 0.000 0.000 0.404 0.596
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.1022 0.9129 0.000 0.968 0.032 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 4 0.0000 0.8578 0.000 0.000 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.6362 0.5000 0.000 0.656 0.168 0.176
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9955 1.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.9308 0.000 1.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.9308 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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.3336 0.6073 0.000 0.772 0.000 0.000 0.228
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.2754 0.8289 0.000 0.880 0.080 0.000 0.040
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.2871 0.8199 0.000 0.872 0.088 0.000 0.040
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.3534 0.9012 0.000 0.000 0.000 0.744 0.256
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.4996 0.7328 0.688 0.000 0.036 0.256 0.020
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.2438 0.7519 0.000 0.060 0.900 0.000 0.040
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0912 0.9146 0.972 0.000 0.012 0.000 0.016
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.2067 0.7589 0.000 0.048 0.920 0.000 0.032
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0912 0.9146 0.972 0.000 0.012 0.000 0.016
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.4306 -0.2962 0.000 0.508 0.000 0.000 0.492
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.4193 0.6388 0.000 0.748 0.212 0.000 0.040
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 5 0.4249 0.4942 0.000 0.432 0.000 0.000 0.568
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 5 0.4242 0.5026 0.000 0.428 0.000 0.000 0.572
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.4996 0.7328 0.688 0.000 0.036 0.256 0.020
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.3999 0.2892 0.000 0.656 0.000 0.000 0.344
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0451 0.9231 0.000 0.988 0.004 0.000 0.008
#> 61130DEE-E267-49DF-8B41-7738A06EF738 4 0.6130 0.7436 0.000 0.000 0.180 0.556 0.264
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.4996 0.7328 0.688 0.000 0.036 0.256 0.020
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 5 0.4763 0.2251 0.000 0.076 0.000 0.212 0.712
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 4 0.3534 0.9012 0.000 0.000 0.000 0.744 0.256
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0451 0.9231 0.000 0.988 0.004 0.000 0.008
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.3534 0.9012 0.000 0.000 0.000 0.744 0.256
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0290 0.9248 0.000 0.992 0.000 0.000 0.008
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 4 0.5697 0.2489 0.228 0.000 0.096 0.656 0.020
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.1270 0.8922 0.000 0.948 0.000 0.000 0.052
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.4996 0.7328 0.688 0.000 0.036 0.256 0.020
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#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 5 0.4114 0.5754 0.000 0.376 0.000 0.000 0.624
#> 2451D405-39FD-4812-958C-23462B66F1F1 4 0.6565 0.6175 0.000 0.000 0.280 0.472 0.248
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.4805 0.4385 0.000 0.000 0.648 0.040 0.312
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0451 0.9231 0.000 0.988 0.004 0.000 0.008
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.2020 0.8282 0.000 0.900 0.000 0.000 0.100
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 5 0.4242 0.5026 0.000 0.428 0.000 0.000 0.572
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.3783 0.5606 0.000 0.252 0.740 0.000 0.008
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.5386 0.1905 0.000 0.060 0.544 0.000 0.396
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 5 0.2554 0.5554 0.000 0.076 0.020 0.008 0.896
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.4477 0.5467 0.000 0.252 0.708 0.000 0.040
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 5 0.4994 0.2017 0.000 0.032 0.052 0.184 0.732
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0912 0.9146 0.972 0.000 0.012 0.000 0.016
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.1670 0.8761 0.000 0.936 0.012 0.000 0.052
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.4996 0.7328 0.688 0.000 0.036 0.256 0.020
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 5 0.5946 0.5240 0.000 0.224 0.184 0.000 0.592
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 5 0.4182 0.5447 0.000 0.400 0.000 0.000 0.600
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 5 0.4297 -0.1304 0.000 0.000 0.472 0.000 0.528
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.1478 0.7647 0.000 0.000 0.936 0.000 0.064
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.3124 0.8391 0.844 0.000 0.016 0.136 0.004
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0290 0.9248 0.000 0.992 0.000 0.000 0.008
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.3752 0.6862 0.000 0.000 0.804 0.048 0.148
#> CAE8097F-A139-4C6E-9E30-35080475FF34 4 0.3534 0.9012 0.000 0.000 0.000 0.744 0.256
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.4996 0.7328 0.688 0.000 0.036 0.256 0.020
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 5 0.5449 0.3993 0.000 0.104 0.264 0.000 0.632
#> B3527517-E339-46AE-8437-65303C309015 4 0.3534 0.9012 0.000 0.000 0.000 0.744 0.256
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.3579 0.5868 0.000 0.756 0.004 0.000 0.240
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.3876 0.8500 0.000 0.000 0.000 0.684 0.316
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.1670 0.8761 0.000 0.936 0.012 0.000 0.052
#> B4E02660-562F-4EAC-8472-CBBD8A577688 5 0.4138 0.5670 0.000 0.384 0.000 0.000 0.616
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 4 0.3534 0.9012 0.000 0.000 0.000 0.744 0.256
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 5 0.6507 -0.2977 0.000 0.000 0.376 0.192 0.432
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.4996 0.7328 0.688 0.000 0.036 0.256 0.020
#> FF00E80A-046D-4233-835E-CDF93403EA43 4 0.3534 0.9012 0.000 0.000 0.000 0.744 0.256
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.3999 0.2948 0.000 0.656 0.000 0.000 0.344
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0162 0.9265 0.000 0.996 0.000 0.000 0.004
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0451 0.9231 0.000 0.988 0.004 0.000 0.008
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 4 0.3534 0.9012 0.000 0.000 0.000 0.744 0.256
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 5 0.3210 0.6241 0.000 0.212 0.000 0.000 0.788
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9272 1.000 0.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.9283 0.000 1.000 0.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.9283 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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0547 0.9052 0.000 0.980 0.000 0.020 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.3774 0.2102 0.000 0.592 0.000 0.408 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0146 0.9596 0.996 0.000 0.000 0.004 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0291 0.9134 0.000 0.992 0.000 0.004 0.000 0.004
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.4405 0.7289 0.000 0.748 0.032 0.060 0.000 0.160
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.4474 0.7241 0.000 0.744 0.036 0.060 0.000 0.160
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 5 0.0146 0.8916 0.000 0.000 0.000 0.000 0.996 0.004
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 6 0.3607 0.9754 0.348 0.000 0.000 0.000 0.000 0.652
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9609 1.000 0.000 0.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.4371 0.7204 0.000 0.032 0.752 0.060 0.000 0.156
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.2442 0.7179 0.852 0.000 0.000 0.004 0.000 0.144
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.3332 0.7460 0.000 0.000 0.808 0.048 0.000 0.144
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.2442 0.7179 0.852 0.000 0.000 0.004 0.000 0.144
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0146 0.9596 0.996 0.000 0.000 0.004 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9609 1.000 0.000 0.000 0.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.2632 0.7577 0.000 0.164 0.000 0.832 0.000 0.004
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.5132 0.6606 0.000 0.696 0.080 0.060 0.000 0.164
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.2146 0.7984 0.000 0.116 0.000 0.880 0.000 0.004
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 4 0.1765 0.8089 0.000 0.096 0.000 0.904 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 6 0.3607 0.9754 0.348 0.000 0.000 0.000 0.000 0.652
#> 7A813F60-A41E-4552-990E-F22287654C1D 4 0.3782 0.3919 0.000 0.412 0.000 0.588 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0146 0.9596 0.996 0.000 0.000 0.004 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.2007 0.8785 0.000 0.916 0.004 0.036 0.000 0.044
#> 61130DEE-E267-49DF-8B41-7738A06EF738 5 0.3053 0.7523 0.000 0.000 0.172 0.004 0.812 0.012
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0146 0.9596 0.996 0.000 0.000 0.004 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 6 0.3607 0.9754 0.348 0.000 0.000 0.000 0.000 0.652
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 4 0.4168 0.2940 0.000 0.016 0.000 0.584 0.400 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.9609 1.000 0.000 0.000 0.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 5 0.0000 0.8925 0.000 0.000 0.000 0.000 1.000 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0146 0.9596 0.996 0.000 0.000 0.004 0.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.9609 1.000 0.000 0.000 0.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.1010 0.8991 0.000 0.960 0.000 0.036 0.000 0.004
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 5 0.0291 0.8928 0.000 0.000 0.000 0.004 0.992 0.004
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0622 0.9094 0.000 0.980 0.000 0.008 0.000 0.012
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 6 0.6117 0.6830 0.196 0.000 0.080 0.008 0.104 0.612
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.2843 0.8289 0.000 0.848 0.000 0.036 0.000 0.116
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 6 0.3607 0.9754 0.348 0.000 0.000 0.000 0.000 0.652
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0260 0.7977 0.000 0.000 0.992 0.008 0.000 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9609 1.000 0.000 0.000 0.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 5 0.1007 0.8706 0.000 0.000 0.000 0.044 0.956 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 5 0.3593 0.7169 0.000 0.000 0.012 0.172 0.788 0.028
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 4 0.1780 0.8006 0.000 0.028 0.000 0.924 0.048 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 6 0.3607 0.9754 0.348 0.000 0.000 0.000 0.000 0.652
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.9609 1.000 0.000 0.000 0.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.9609 1.000 0.000 0.000 0.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 4 0.3733 0.7171 0.000 0.020 0.124 0.808 0.004 0.044
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 5 0.0291 0.8928 0.000 0.000 0.000 0.004 0.992 0.004
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0146 0.9596 0.996 0.000 0.000 0.004 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 4 0.1719 0.7913 0.000 0.016 0.000 0.924 0.060 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.1934 0.8801 0.000 0.916 0.000 0.040 0.000 0.044
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 4 0.1643 0.8114 0.000 0.068 0.000 0.924 0.008 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 4 0.1700 0.7984 0.000 0.024 0.000 0.928 0.048 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.4638 0.7098 0.000 0.732 0.044 0.060 0.000 0.164
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.3737 0.2592 0.000 0.608 0.000 0.392 0.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 5 0.0291 0.8928 0.000 0.000 0.000 0.004 0.992 0.004
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.1225 0.8960 0.000 0.952 0.000 0.036 0.000 0.012
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 1 0.3669 0.6202 0.784 0.008 0.028 0.004 0.000 0.176
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.9609 1.000 0.000 0.000 0.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 4 0.2003 0.7992 0.000 0.116 0.000 0.884 0.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0146 0.9596 0.996 0.000 0.000 0.004 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 6 0.3607 0.9754 0.348 0.000 0.000 0.000 0.000 0.652
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.3150 0.7585 0.000 0.068 0.856 0.040 0.000 0.036
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 5 0.0146 0.8933 0.000 0.000 0.000 0.004 0.996 0.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 4 0.1700 0.7984 0.000 0.024 0.000 0.928 0.048 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.9609 1.000 0.000 0.000 0.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
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#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9609 1.000 0.000 0.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0146 0.9596 0.996 0.000 0.000 0.004 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0260 0.7977 0.000 0.000 0.992 0.008 0.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.3737 -0.3249 0.608 0.000 0.000 0.000 0.000 0.392
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.1649 0.8873 0.000 0.932 0.000 0.032 0.000 0.036
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.3593 0.6317 0.000 0.000 0.788 0.028 0.172 0.012
#> CAE8097F-A139-4C6E-9E30-35080475FF34 5 0.0146 0.8933 0.000 0.000 0.000 0.004 0.996 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 6 0.3607 0.9754 0.348 0.000 0.000 0.000 0.000 0.652
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 4 0.2693 0.7744 0.000 0.036 0.052 0.884 0.000 0.028
#> B3527517-E339-46AE-8437-65303C309015 5 0.0146 0.8933 0.000 0.000 0.000 0.004 0.996 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.4533 0.0860 0.000 0.540 0.008 0.432 0.000 0.020
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 5 0.1714 0.8317 0.000 0.000 0.000 0.092 0.908 0.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9609 1.000 0.000 0.000 0.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.2416 0.7996 0.000 0.844 0.000 0.000 0.000 0.156
#> B4E02660-562F-4EAC-8472-CBBD8A577688 4 0.1610 0.8114 0.000 0.084 0.000 0.916 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 5 0.0146 0.8916 0.000 0.000 0.000 0.000 0.996 0.004
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.5867 -0.0786 0.000 0.000 0.432 0.168 0.396 0.004
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 6 0.3607 0.9754 0.348 0.000 0.000 0.000 0.000 0.652
#> FF00E80A-046D-4233-835E-CDF93403EA43 5 0.0146 0.8933 0.000 0.000 0.000 0.004 0.996 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0146 0.9147 0.000 0.996 0.000 0.000 0.000 0.004
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 4 0.3828 0.3224 0.000 0.440 0.000 0.560 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9609 1.000 0.000 0.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.1794 0.8833 0.000 0.924 0.000 0.036 0.000 0.040
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9609 1.000 0.000 0.000 0.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 5 0.0146 0.8933 0.000 0.000 0.000 0.004 0.996 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0692 0.9363 0.976 0.000 0.000 0.004 0.000 0.020
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0146 0.9596 0.996 0.000 0.000 0.004 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9609 1.000 0.000 0.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9609 1.000 0.000 0.000 0.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 4 0.1643 0.8114 0.000 0.068 0.000 0.924 0.008 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9609 1.000 0.000 0.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.9160 0.000 1.000 0.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "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 17288 rows and 266 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 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 0.995 0.998 0.4395 0.561 0.561
#> 3 3 0.989 0.959 0.981 0.4313 0.803 0.651
#> 4 4 0.760 0.842 0.883 0.0931 0.952 0.871
#> 5 5 0.790 0.746 0.888 0.1173 0.863 0.608
#> 6 6 0.822 0.722 0.855 0.0689 0.854 0.476
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.999 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.999 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.996 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0000 0.999 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.0000 0.999 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.0000 0.999 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.7453 0.729 0.212 0.788
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.996 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.996 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.0000 0.999 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0000 0.996 1.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.0000 0.999 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0000 0.996 1.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.996 1.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.996 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.999 0.000 1.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.999 0.000 1.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.0000 0.999 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0000 0.999 0.000 1.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.999 0.000 1.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.999 0.000 1.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.996 1.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.999 0.000 1.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.996 1.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0000 0.999 0.000 1.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.0000 0.999 0.000 1.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.996 1.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.999 0.000 1.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.996 1.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.999 0.000 1.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.996 1.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.0000 0.999 0.000 1.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 0.996 1.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.996 1.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.999 0.000 1.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.0000 0.999 0.000 1.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0000 0.999 0.000 1.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 2 0.0000 0.999 0.000 1.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.0000 0.999 0.000 1.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.996 1.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.0000 0.999 0.000 1.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.996 1.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.999 0.000 1.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.999 0.000 1.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0000 0.999 0.000 1.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.0000 0.999 0.000 1.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.999 0.000 1.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.999 0.000 1.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.0000 0.999 0.000 1.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.996 1.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.999 0.000 1.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.999 0.000 1.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.996 1.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.996 1.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.0000 0.999 0.000 1.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.0000 0.999 0.000 1.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.996 1.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0000 0.999 0.000 1.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0000 0.999 0.000 1.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.999 0.000 1.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.999 0.000 1.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.0000 0.999 0.000 1.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.999 0.000 1.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.0000 0.999 0.000 1.000
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0000 0.999 0.000 1.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.999 0.000 1.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 2 0.0000 0.999 0.000 1.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.999 0.000 1.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.996 1.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.999 0.000 1.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.996 1.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.996 1.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.0000 0.999 0.000 1.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.0000 0.999 0.000 1.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.0000 0.999 0.000 1.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.996 1.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.999 0.000 1.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 2 0.0000 0.999 0.000 1.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.999 0.000 1.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 2 0.0000 0.999 0.000 1.000
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.999 0.000 1.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0000 0.996 1.000 0.000
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.0000 0.999 0.000 1.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.999 0.000 1.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 0.996 1.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.0000 0.999 0.000 1.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.0000 0.999 0.000 1.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.0000 0.999 0.000 1.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.0000 0.999 0.000 1.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.0000 0.999 0.000 1.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0.0000 0.999 0.000 1.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.996 1.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.0000 0.999 0.000 1.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0000 0.996 1.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.996 1.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.0000 0.999 0.000 1.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0.0000 0.999 0.000 1.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 0.996 1.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.0000 0.999 0.000 1.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.996 1.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.0000 0.999 0.000 1.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.0000 0.999 0.000 1.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.996 1.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.999 0.000 1.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0000 0.996 1.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.0000 0.999 0.000 1.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.0000 0.999 0.000 1.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.996 1.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 2 0.0000 0.999 0.000 1.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.0000 0.999 0.000 1.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0.0000 0.999 0.000 1.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0000 0.996 1.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.996 1.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0000 0.996 1.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.0000 0.999 0.000 1.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.0000 0.999 0.000 1.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.0000 0.999 0.000 1.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.0000 0.999 0.000 1.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.999 0.000 1.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.0000 0.999 0.000 1.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.0000 0.999 0.000 1.000
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 2 0.0000 0.999 0.000 1.000
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.0000 0.999 0.000 1.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.999 0.000 1.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.0000 0.999 0.000 1.000
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0000 0.999 0.000 1.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0000 0.999 0.000 1.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0.0000 0.999 0.000 1.000
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.996 1.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.0000 0.999 0.000 1.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 2 0.0000 0.999 0.000 1.000
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.996 1.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.0000 0.999 0.000 1.000
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.0000 0.999 0.000 1.000
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0000 0.996 1.000 0.000
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.0000 0.999 0.000 1.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.999 0.000 1.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.996 1.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0000 0.999 0.000 1.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0000 0.996 1.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.0000 0.999 0.000 1.000
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.0000 0.999 0.000 1.000
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.0000 0.999 0.000 1.000
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.0000 0.999 0.000 1.000
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 0.996 1.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0000 0.996 1.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.0000 0.999 0.000 1.000
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.999 0.000 1.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0.0000 0.999 0.000 1.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.999 0.000 1.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 1 0.0000 0.996 1.000 0.000
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0000 0.996 1.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.999 0.000 1.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.996 1.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.996 1.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.0000 0.999 0.000 1.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0000 0.996 1.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.0000 0.999 0.000 1.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.0000 0.999 0.000 1.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0000 0.999 0.000 1.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.0000 0.999 0.000 1.000
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.996 1.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 0.996 1.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.0000 0.999 0.000 1.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0.0000 0.999 0.000 1.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0000 0.996 1.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.996 1.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.996 1.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0000 0.999 0.000 1.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 2 0.0000 0.999 0.000 1.000
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 0.996 1.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.0000 0.999 0.000 1.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.999 0.000 1.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0.0938 0.987 0.012 0.988
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.996 1.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.996 1.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.999 0.000 1.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.999 0.000 1.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.0000 0.999 0.000 1.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0000 0.996 1.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.0000 0.999 0.000 1.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.996 1.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.0000 0.999 0.000 1.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0000 0.996 1.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.0000 0.999 0.000 1.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0000 0.999 0.000 1.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.0000 0.999 0.000 1.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.0000 0.999 0.000 1.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.999 0.000 1.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.999 0.000 1.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.996 1.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.996 1.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.999 0.000 1.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0000 0.996 1.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0000 0.999 0.000 1.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 0.996 1.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0000 0.999 0.000 1.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.0000 0.999 0.000 1.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.0000 0.999 0.000 1.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.996 1.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0000 0.999 0.000 1.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.999 0.000 1.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.999 0.000 1.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.999 0.000 1.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.0000 0.999 0.000 1.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.0000 0.999 0.000 1.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.996 1.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.996 1.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.0000 0.999 0.000 1.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.999 0.000 1.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.0000 0.999 0.000 1.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.0000 0.999 0.000 1.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0000 0.996 1.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0000 0.999 0.000 1.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.996 1.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.996 1.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.0000 0.999 0.000 1.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.999 0.000 1.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.999 0.000 1.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.996 1.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.0000 0.999 0.000 1.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.0000 0.999 0.000 1.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.996 1.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.999 0.000 1.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.999 0.000 1.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.996 1.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.996 1.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.0000 0.999 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.996 1.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.999 0.000 1.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.0000 0.999 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0000 0.999 0.000 1.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.996 1.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.999 0.000 1.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0000 0.999 0.000 1.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.0000 0.999 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.999 0.000 1.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0000 0.999 0.000 1.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.0000 0.999 0.000 1.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.999 0.000 1.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.996 1.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0000 0.999 0.000 1.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.999 0.000 1.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.0000 0.999 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.0000 0.999 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.996 1.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.0000 0.999 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.999 0.000 1.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.999 0.000 1.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.999 0.000 1.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.996 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.999 0.000 1.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.999 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.996 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 1 0.8909 0.553 0.692 0.308
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.996 1.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.999 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.996 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.999 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.996 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.996 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.999 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.999 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.996 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.999 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.999 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.979 0.000 1.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0237 0.978 0.000 0.996 0.004
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 1.000 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0000 0.979 0.000 1.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.0000 0.979 0.000 1.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.0237 0.978 0.000 0.996 0.004
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0000 0.949 0.000 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 1.000 1.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 1.000 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.4399 0.788 0.000 0.812 0.188
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0000 1.000 1.000 0.000 0.000
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#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 1.000 1.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.979 0.000 1.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0000 1.000 1.000 0.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 3 0.0000 0.949 0.000 0.000 1.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 1.000 1.000 0.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0237 0.978 0.000 0.996 0.004
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.0000 0.949 0.000 0.000 1.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.0000 0.949 0.000 0.000 1.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 1.000 1.000 0.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0000 0.979 0.000 1.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.979 0.000 1.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0237 0.978 0.000 0.996 0.004
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0237 0.978 0.000 0.996 0.004
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.1163 0.962 0.000 0.972 0.028
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.2356 0.929 0.000 0.928 0.072
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 1.000 1.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 1.000 1.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.2356 0.924 0.000 0.928 0.072
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.979 0.000 1.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.1163 0.963 0.000 0.972 0.028
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 3 0.0000 0.949 0.000 0.000 1.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0000 1.000 1.000 0.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0000 0.979 0.000 1.000 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 1.000 1.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 1.000 1.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.2625 0.918 0.000 0.916 0.084
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.1289 0.960 0.000 0.968 0.032
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.979 0.000 1.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 1.000 1.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.6244 0.208 0.000 0.440 0.560
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.0000 0.979 0.000 1.000 0.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 1.000 1.000 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.979 0.000 1.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.979 0.000 1.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 1.000 1.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 1.000 1.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0000 0.949 0.000 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 1.000 1.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.979 0.000 1.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.0000 0.949 0.000 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 3 0.0000 0.949 0.000 0.000 1.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 1.000 1.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.979 0.000 1.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.2959 0.903 0.000 0.900 0.100
#> B3527517-E339-46AE-8437-65303C309015 3 0.0000 0.949 0.000 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.979 0.000 1.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.2537 0.922 0.000 0.920 0.080
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.0000 0.949 0.000 0.000 1.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.979 0.000 1.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 1.000 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.2448 0.924 0.000 0.924 0.076
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0237 0.978 0.000 0.996 0.004
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.0000 0.949 0.000 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.0000 0.949 0.000 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 1.000 1.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.0000 0.949 0.000 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.979 0.000 1.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0237 0.978 0.000 0.996 0.004
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.979 0.000 1.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 1.000 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.979 0.000 1.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.979 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 1.000 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 3 0.0000 0.949 0.000 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 1.000 1.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.979 0.000 1.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 1.000 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.979 0.000 1.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 1.000 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 1.000 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.979 0.000 1.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0237 0.978 0.000 0.996 0.004
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 1.000 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.979 0.000 1.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.979 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.3495 0.8794 0.000 0.844 0.016 0.140
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0804 0.9190 0.000 0.980 0.008 0.012
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.4996 -0.3384 0.516 0.000 0.000 0.484
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0592 0.9193 0.000 0.984 0.000 0.016
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.3219 0.8730 0.000 0.836 0.000 0.164
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.3219 0.8730 0.000 0.836 0.000 0.164
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.0000 0.8576 0.000 0.000 1.000 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0336 0.8825 0.992 0.000 0.000 0.008
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 4 0.3942 0.9773 0.236 0.000 0.000 0.764
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.4808 0.7958 0.000 0.736 0.028 0.236
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.4972 -0.2859 0.544 0.000 0.000 0.456
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.7740 0.2523 0.000 0.348 0.416 0.236
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.2521 0.8072 0.912 0.000 0.024 0.064
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.4989 -0.2943 0.528 0.000 0.000 0.472
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 4 0.4382 0.9049 0.296 0.000 0.000 0.704
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0927 0.9179 0.000 0.976 0.016 0.008
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.1042 0.9170 0.000 0.972 0.020 0.008
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.3791 0.8497 0.000 0.796 0.004 0.200
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.3219 0.8912 0.000 0.868 0.020 0.112
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0707 0.9166 0.000 0.980 0.020 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.8863 1.000 0.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0707 0.9166 0.000 0.980 0.020 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.8863 1.000 0.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.3486 0.8599 0.000 0.812 0.000 0.188
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.1557 0.8552 0.000 0.000 0.944 0.056
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0336 0.8825 0.992 0.000 0.000 0.008
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.8863 1.000 0.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 3 0.4776 0.2947 0.000 0.376 0.624 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 4 0.3942 0.9773 0.236 0.000 0.000 0.764
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.0000 0.8576 0.000 0.000 1.000 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.2216 0.7976 0.908 0.000 0.000 0.092
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 4 0.4103 0.9572 0.256 0.000 0.000 0.744
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 3 0.0000 0.8576 0.000 0.000 1.000 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.2281 0.8514 0.000 0.000 0.904 0.096
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.3569 0.8545 0.000 0.804 0.000 0.196
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.8863 1.000 0.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.5235 0.7815 0.000 0.048 0.716 0.236
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 4 0.4776 0.7490 0.376 0.000 0.000 0.624
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.1211 0.9162 0.000 0.960 0.000 0.040
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 3 0.0000 0.8576 0.000 0.000 1.000 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.1302 0.8561 0.000 0.000 0.956 0.044
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.3486 0.8233 0.000 0.812 0.188 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.8863 1.000 0.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 4 0.3942 0.9773 0.236 0.000 0.000 0.764
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 4 0.3942 0.9773 0.236 0.000 0.000 0.764
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.5312 0.7733 0.000 0.712 0.052 0.236
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 3 0.0000 0.8576 0.000 0.000 1.000 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.8863 1.000 0.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.3528 0.8193 0.000 0.808 0.192 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0592 0.9187 0.000 0.984 0.000 0.016
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.3486 0.8233 0.000 0.812 0.188 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.3837 0.7872 0.000 0.776 0.224 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.3219 0.8730 0.000 0.836 0.000 0.164
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0707 0.9166 0.000 0.980 0.020 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 3 0.0000 0.8576 0.000 0.000 1.000 0.000
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.7734 0.2668 0.000 0.344 0.420 0.236
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.4008 0.5115 0.756 0.000 0.000 0.244
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.1913 0.9129 0.000 0.940 0.020 0.040
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.8863 1.000 0.000 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.8863 1.000 0.000 0.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.3942 0.8237 0.000 0.764 0.000 0.236
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.0000 0.8576 0.000 0.000 1.000 0.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.3626 0.8257 0.000 0.812 0.184 0.004
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 4 0.3942 0.9773 0.236 0.000 0.000 0.764
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.2149 0.8523 0.000 0.000 0.912 0.088
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0817 0.9181 0.000 0.976 0.000 0.024
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.0188 0.8575 0.000 0.000 0.996 0.004
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0336 0.8825 0.992 0.000 0.000 0.008
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.3942 0.8237 0.000 0.764 0.000 0.236
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 0.8863 1.000 0.000 0.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 3 0.3542 0.8183 0.000 0.076 0.864 0.060
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.3219 0.8730 0.000 0.836 0.000 0.164
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.0188 0.9195 0.000 0.996 0.000 0.004
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.4986 0.7927 0.000 0.044 0.740 0.216
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.5074 0.7877 0.000 0.040 0.724 0.236
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.3942 0.8069 0.000 0.000 0.764 0.236
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 4 0.3942 0.9773 0.236 0.000 0.000 0.764
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#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0336 0.8825 0.992 0.000 0.000 0.008
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 4 0.3942 0.9773 0.236 0.000 0.000 0.764
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 4 0.3942 0.9773 0.236 0.000 0.000 0.764
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.3486 0.8233 0.000 0.812 0.188 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 4 0.3942 0.9773 0.236 0.000 0.000 0.764
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.9193 0.000 1.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.9193 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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.3566 0.7522 0.000 0.812 0.160 0.024 0.004
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.1830 0.8404 0.000 0.932 0.028 0.040 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 5 0.3857 0.5671 0.312 0.000 0.000 0.000 0.688
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.2690 0.7647 0.000 0.844 0.156 0.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.4291 0.3070 0.000 0.536 0.464 0.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.4291 0.3070 0.000 0.536 0.464 0.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 4 0.0000 0.9083 0.000 0.000 0.000 1.000 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.1197 0.9240 0.952 0.000 0.000 0.000 0.048
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0162 0.7442 0.000 0.000 0.996 0.004 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 5 0.4302 0.1792 0.480 0.000 0.000 0.000 0.520
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0404 0.7437 0.000 0.000 0.988 0.012 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.1732 0.8834 0.920 0.000 0.000 0.000 0.080
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 5 0.3913 0.5456 0.324 0.000 0.000 0.000 0.676
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 5 0.1544 0.8660 0.068 0.000 0.000 0.000 0.932
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.1278 0.8502 0.000 0.960 0.016 0.020 0.004
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.2074 0.8322 0.000 0.920 0.016 0.060 0.004
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.3949 0.3185 0.000 0.332 0.668 0.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.4025 0.7572 0.000 0.796 0.140 0.060 0.004
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.1857 0.8333 0.000 0.928 0.008 0.060 0.004
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.1697 0.8346 0.000 0.932 0.008 0.060 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 3 0.3932 0.3240 0.000 0.328 0.672 0.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.4307 0.0890 0.000 0.000 0.504 0.496 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.1197 0.9240 0.952 0.000 0.000 0.000 0.048
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 4 0.1990 0.8385 0.000 0.068 0.008 0.920 0.004
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 4 0.0000 0.9083 0.000 0.000 0.000 1.000 0.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.3534 0.6362 0.744 0.000 0.000 0.000 0.256
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 5 0.0794 0.8904 0.028 0.000 0.000 0.000 0.972
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.3534 0.6372 0.000 0.744 0.256 0.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 4 0.0000 0.9083 0.000 0.000 0.000 1.000 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.4262 0.2440 0.000 0.000 0.560 0.440 0.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 3 0.4126 0.2046 0.000 0.380 0.620 0.000 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.0290 0.7442 0.000 0.000 0.992 0.008 0.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 5 0.2732 0.7853 0.160 0.000 0.000 0.000 0.840
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.1197 0.8451 0.000 0.952 0.048 0.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 4 0.0451 0.9047 0.000 0.000 0.008 0.988 0.004
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 4 0.4150 0.2701 0.000 0.000 0.388 0.612 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.4434 0.4918 0.000 0.640 0.008 0.348 0.004
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0162 0.8568 0.000 0.996 0.000 0.000 0.004
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.2329 0.6831 0.000 0.000 0.876 0.124 0.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 4 0.0000 0.9083 0.000 0.000 0.000 1.000 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.4403 0.5098 0.000 0.648 0.008 0.340 0.004
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.2690 0.7747 0.000 0.844 0.156 0.000 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.4317 0.5480 0.000 0.668 0.008 0.320 0.004
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.4800 0.1159 0.000 0.508 0.012 0.476 0.004
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.4291 0.3070 0.000 0.536 0.464 0.000 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.1740 0.8362 0.000 0.932 0.012 0.056 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 4 0.0000 0.9083 0.000 0.000 0.000 1.000 0.000
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.3395 0.6645 0.000 0.764 0.236 0.000 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.0404 0.7435 0.000 0.000 0.988 0.012 0.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.3534 0.6009 0.744 0.000 0.000 0.000 0.256
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.2888 0.8173 0.000 0.880 0.056 0.060 0.004
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.0290 0.7431 0.000 0.008 0.992 0.000 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 4 0.0000 0.9083 0.000 0.000 0.000 1.000 0.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.4775 0.5539 0.000 0.660 0.032 0.304 0.004
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.4273 0.2228 0.000 0.000 0.552 0.448 0.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0963 0.8489 0.000 0.964 0.036 0.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 4 0.0963 0.8770 0.000 0.000 0.036 0.964 0.000
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.1197 0.9240 0.952 0.000 0.000 0.000 0.048
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.0290 0.7431 0.000 0.008 0.992 0.000 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 3 0.4390 0.2320 0.000 0.000 0.568 0.428 0.004
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.4249 0.0258 0.000 0.432 0.568 0.000 0.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.3452 0.6591 0.000 0.756 0.244 0.000 0.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.1704 0.7134 0.000 0.000 0.928 0.068 0.004
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.0290 0.7442 0.000 0.000 0.992 0.008 0.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.1671 0.7174 0.000 0.000 0.924 0.076 0.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 3 0.4161 0.1293 0.000 0.392 0.608 0.000 0.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.0290 0.7442 0.000 0.000 0.992 0.008 0.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.4273 0.2228 0.000 0.000 0.552 0.448 0.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 5 0.3913 0.5461 0.324 0.000 0.000 0.000 0.676
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.3795 0.7335 0.000 0.788 0.184 0.024 0.004
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 4 0.0000 0.9083 0.000 0.000 0.000 1.000 0.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.4294 0.2962 0.000 0.532 0.468 0.000 0.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 5 0.1197 0.8776 0.048 0.000 0.000 0.000 0.952
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.1197 0.9240 0.952 0.000 0.000 0.000 0.048
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.4171 0.1544 0.000 0.396 0.604 0.000 0.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.4552 0.3032 0.000 0.524 0.468 0.008 0.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 5 0.4287 0.1619 0.460 0.000 0.000 0.000 0.540
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 4 0.0000 0.9083 0.000 0.000 0.000 1.000 0.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.4291 0.3070 0.000 0.536 0.464 0.000 0.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.4030 0.4339 0.000 0.000 0.648 0.352 0.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.4268 0.0616 0.556 0.000 0.000 0.000 0.444
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 5 0.2424 0.8212 0.132 0.000 0.000 0.000 0.868
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.0000 0.7437 0.000 0.000 1.000 0.000 0.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.0290 0.7442 0.000 0.000 0.992 0.008 0.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 4 0.0162 0.9074 0.000 0.000 0.000 0.996 0.004
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.4291 0.3070 0.000 0.536 0.464 0.000 0.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.0290 0.7442 0.000 0.000 0.992 0.008 0.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 4 0.4064 0.5755 0.000 0.272 0.008 0.716 0.004
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.2516 0.6792 0.000 0.000 0.860 0.140 0.000
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.4291 0.3070 0.000 0.536 0.464 0.000 0.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 4 0.2237 0.8204 0.000 0.084 0.008 0.904 0.004
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.1857 0.8333 0.000 0.928 0.008 0.060 0.004
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.4171 0.3449 0.000 0.000 0.604 0.396 0.000
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0963 0.9282 0.964 0.000 0.000 0.000 0.036
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 3 0.0000 0.7437 0.000 0.000 1.000 0.000 0.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.3395 0.5862 0.000 0.000 0.764 0.236 0.000
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 4 0.0451 0.9047 0.000 0.000 0.008 0.988 0.004
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.3074 0.7335 0.000 0.804 0.196 0.000 0.000
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 5 0.3932 0.5384 0.328 0.000 0.000 0.000 0.672
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.4088 0.4935 0.000 0.632 0.368 0.000 0.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.4025 0.7572 0.000 0.796 0.140 0.060 0.004
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.5293 0.5986 0.000 0.668 0.236 0.092 0.004
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.2074 0.8322 0.000 0.920 0.016 0.060 0.004
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 4 0.0451 0.9047 0.000 0.000 0.008 0.988 0.004
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 4 0.4070 0.5926 0.000 0.256 0.012 0.728 0.004
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.5139 0.4254 0.000 0.576 0.384 0.036 0.004
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.0290 0.7431 0.000 0.008 0.992 0.000 0.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 4 0.1626 0.8546 0.044 0.000 0.016 0.940 0.000
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.3876 0.5711 0.000 0.684 0.316 0.000 0.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.4101 0.4858 0.000 0.628 0.372 0.000 0.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.1697 0.8346 0.000 0.932 0.008 0.060 0.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 3 0.4227 0.0670 0.000 0.420 0.580 0.000 0.000
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 5 0.1270 0.8749 0.052 0.000 0.000 0.000 0.948
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 3 0.5753 0.1534 0.000 0.360 0.552 0.084 0.004
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.2124 0.7079 0.000 0.000 0.900 0.096 0.004
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> 23C937BB-BA20-4440-B680-914229CC3ADF 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 3 0.2773 0.6567 0.000 0.000 0.836 0.164 0.000
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 4 0.0451 0.9047 0.000 0.000 0.008 0.988 0.004
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0324 0.8561 0.000 0.992 0.000 0.004 0.004
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 4 0.0000 0.9083 0.000 0.000 0.000 1.000 0.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.3395 0.6692 0.764 0.000 0.000 0.000 0.236
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0880 0.8485 0.000 0.968 0.032 0.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.3707 0.5327 0.000 0.000 0.716 0.284 0.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.2516 0.7710 0.000 0.860 0.140 0.000 0.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 5 0.4307 0.0636 0.496 0.000 0.000 0.000 0.504
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.3774 0.5945 0.000 0.704 0.296 0.000 0.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.0290 0.7442 0.000 0.000 0.992 0.008 0.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.0162 0.7439 0.000 0.004 0.996 0.000 0.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.0000 0.7437 0.000 0.000 1.000 0.000 0.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.1857 0.8333 0.000 0.928 0.008 0.060 0.004
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 4 0.0451 0.9047 0.000 0.000 0.008 0.988 0.004
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.4025 0.7576 0.000 0.796 0.140 0.060 0.004
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.4283 0.2030 0.000 0.000 0.544 0.456 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.3684 0.5417 0.000 0.000 0.720 0.280 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.1121 0.9268 0.956 0.000 0.000 0.000 0.044
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.3661 0.6132 0.000 0.724 0.276 0.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.1444 0.8479 0.000 0.948 0.040 0.012 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.2074 0.8322 0.000 0.920 0.016 0.060 0.004
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0290 0.7431 0.000 0.008 0.992 0.000 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.0000 0.7437 0.000 0.000 1.000 0.000 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0162 0.9511 0.996 0.000 0.000 0.000 0.004
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 5 0.2020 0.8399 0.100 0.000 0.000 0.000 0.900
#> A2792419-8E16-45FE-A524-17851F34AB9B 4 0.4664 0.2288 0.000 0.436 0.008 0.552 0.004
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.0000 0.7437 0.000 0.000 1.000 0.000 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 4 0.2068 0.8311 0.000 0.000 0.092 0.904 0.004
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.1608 0.8921 0.928 0.000 0.000 0.000 0.072
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.3160 0.7397 0.000 0.808 0.188 0.004 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 3 0.0510 0.7389 0.000 0.000 0.984 0.016 0.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.4345 0.7240 0.000 0.764 0.172 0.060 0.004
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 5 0.3366 0.6953 0.232 0.000 0.000 0.000 0.768
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.1043 0.7273 0.000 0.000 0.960 0.040 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.1341 0.8417 0.000 0.944 0.056 0.000 0.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.1197 0.9240 0.952 0.000 0.000 0.000 0.048
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 5 0.0510 0.8956 0.016 0.000 0.000 0.000 0.984
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0290 0.7442 0.000 0.000 0.992 0.008 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0162 0.9511 0.996 0.000 0.000 0.000 0.004
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0703 0.8516 0.000 0.976 0.000 0.024 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.3636 0.5489 0.000 0.000 0.728 0.272 0.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 4 0.0000 0.9083 0.000 0.000 0.000 1.000 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 3 0.5176 0.1013 0.000 0.380 0.572 0.048 0.000
#> B3527517-E339-46AE-8437-65303C309015 4 0.0000 0.9083 0.000 0.000 0.000 1.000 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 3 0.4897 0.4740 0.000 0.252 0.688 0.056 0.004
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 4 0.0290 0.9058 0.000 0.000 0.008 0.992 0.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.3774 0.6048 0.000 0.704 0.296 0.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.1857 0.8333 0.000 0.928 0.008 0.060 0.004
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 4 0.0963 0.8770 0.000 0.000 0.036 0.964 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.4287 0.1974 0.000 0.000 0.540 0.460 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 4 0.0963 0.8770 0.000 0.000 0.036 0.964 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.1857 0.8333 0.000 0.928 0.008 0.060 0.004
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.3305 0.6807 0.000 0.776 0.224 0.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 5 0.0794 0.8905 0.028 0.000 0.000 0.000 0.972
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 4 0.0000 0.9083 0.000 0.000 0.000 1.000 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.9532 1.000 0.000 0.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.1197 0.9240 0.952 0.000 0.000 0.000 0.048
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.3937 0.6582 0.000 0.736 0.008 0.252 0.004
#> 735D1DE3-D781-4F89-A395-09974057BBB7 5 0.0162 0.9003 0.004 0.000 0.000 0.000 0.996
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.8575 0.000 1.000 0.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.8575 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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 4 0.3817 0.4654 0.000 0.432 0.000 0.568 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.5731 0.1897 0.000 0.512 0.276 0.212 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 6 0.3446 0.5691 0.308 0.000 0.000 0.000 0.000 0.692
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.3969 0.3968 0.000 0.652 0.332 0.016 0.000 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.1984 0.8224 0.000 0.032 0.912 0.056 0.000 0.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.1984 0.8224 0.000 0.032 0.912 0.056 0.000 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 5 0.0000 0.7931 0.000 0.000 0.000 0.000 1.000 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.1075 0.9239 0.952 0.000 0.000 0.000 0.000 0.048
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 6 0.0000 0.8927 0.000 0.000 0.000 0.000 0.000 1.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.0000 0.8325 0.000 0.000 1.000 0.000 0.000 0.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 6 0.3864 0.1713 0.480 0.000 0.000 0.000 0.000 0.520
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.2527 0.6766 0.000 0.000 0.832 0.000 0.168 0.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.1913 0.8763 0.908 0.000 0.000 0.000 0.012 0.080
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 6 0.3499 0.5478 0.320 0.000 0.000 0.000 0.000 0.680
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 6 0.1327 0.8600 0.064 0.000 0.000 0.000 0.000 0.936
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 4 0.4062 0.4375 0.000 0.440 0.008 0.552 0.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 4 0.3351 0.7072 0.000 0.288 0.000 0.712 0.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.0363 0.8328 0.000 0.000 0.988 0.012 0.000 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 4 0.3351 0.7072 0.000 0.288 0.000 0.712 0.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.8434 0.000 1.000 0.000 0.000 0.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 4 0.3351 0.7072 0.000 0.288 0.000 0.712 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.9530 1.000 0.000 0.000 0.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.3869 -0.3111 0.000 0.500 0.000 0.500 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.9530 1.000 0.000 0.000 0.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 3 0.1141 0.8284 0.000 0.000 0.948 0.052 0.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 5 0.1802 0.7890 0.000 0.000 0.072 0.012 0.916 0.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.1075 0.9239 0.952 0.000 0.000 0.000 0.000 0.048
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#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 6 0.0000 0.8927 0.000 0.000 0.000 0.000 0.000 1.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.2260 0.7132 0.000 0.860 0.140 0.000 0.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.8434 0.000 1.000 0.000 0.000 0.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 5 0.2199 0.7847 0.000 0.000 0.088 0.020 0.892 0.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0000 0.9530 1.000 0.000 0.000 0.000 0.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.2531 0.7180 0.000 0.856 0.132 0.012 0.000 0.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 6 0.3868 0.0564 0.496 0.000 0.000 0.000 0.000 0.504
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 3 0.3309 0.6234 0.000 0.280 0.720 0.000 0.000 0.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0000 0.9530 1.000 0.000 0.000 0.000 0.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.0000 0.8325 0.000 0.000 1.000 0.000 0.000 0.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.1075 0.8227 0.000 0.952 0.000 0.048 0.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.0000 0.8325 0.000 0.000 1.000 0.000 0.000 0.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.0000 0.8325 0.000 0.000 1.000 0.000 0.000 0.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.8434 0.000 1.000 0.000 0.000 0.000 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 4 0.3351 0.7072 0.000 0.288 0.000 0.712 0.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.9530 1.000 0.000 0.000 0.000 0.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 6 0.0000 0.8927 0.000 0.000 0.000 0.000 0.000 1.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.8434 0.000 1.000 0.000 0.000 0.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0000 0.9530 1.000 0.000 0.000 0.000 0.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 4 0.1910 0.5101 0.000 0.000 0.000 0.892 0.108 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 0.9530 1.000 0.000 0.000 0.000 0.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 4 0.3351 0.7072 0.000 0.288 0.000 0.712 0.000 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 5 0.2199 0.7847 0.000 0.000 0.088 0.020 0.892 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 5 0.4653 0.4174 0.000 0.000 0.360 0.052 0.588 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.1007 0.9267 0.956 0.000 0.000 0.000 0.000 0.044
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.3797 0.1457 0.000 0.580 0.420 0.000 0.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.8434 0.000 1.000 0.000 0.000 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 3 0.4971 0.1374 0.000 0.424 0.508 0.068 0.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 4 0.3351 0.7072 0.000 0.288 0.000 0.712 0.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.0000 0.8325 0.000 0.000 1.000 0.000 0.000 0.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 3 0.0000 0.8325 0.000 0.000 1.000 0.000 0.000 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0146 0.9509 0.996 0.000 0.000 0.000 0.000 0.004
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 6 0.1765 0.8364 0.096 0.000 0.000 0.000 0.000 0.904
#> A2792419-8E16-45FE-A524-17851F34AB9B 4 0.1007 0.5551 0.000 0.000 0.000 0.956 0.044 0.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0713 0.8354 0.000 0.972 0.000 0.028 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.0000 0.8325 0.000 0.000 1.000 0.000 0.000 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 4 0.3619 0.4666 0.000 0.000 0.004 0.680 0.316 0.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.1444 0.8920 0.928 0.000 0.000 0.000 0.000 0.072
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.5779 -0.2321 0.000 0.432 0.176 0.392 0.000 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.9530 1.000 0.000 0.000 0.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 6 0.0000 0.8927 0.000 0.000 0.000 0.000 0.000 1.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 3 0.3337 0.5607 0.000 0.004 0.736 0.260 0.000 0.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 4 0.3351 0.7072 0.000 0.288 0.000 0.712 0.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.1204 0.8175 0.000 0.944 0.000 0.056 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 6 0.3023 0.6908 0.232 0.000 0.000 0.000 0.000 0.768
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.2048 0.7679 0.000 0.000 0.880 0.120 0.000 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.4837 0.1072 0.000 0.512 0.432 0.056 0.000 0.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.1075 0.9239 0.952 0.000 0.000 0.000 0.000 0.048
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.8434 0.000 1.000 0.000 0.000 0.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.8434 0.000 1.000 0.000 0.000 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 6 0.0363 0.8876 0.012 0.000 0.000 0.000 0.000 0.988
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.9530 1.000 0.000 0.000 0.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.0547 0.8222 0.000 0.000 0.980 0.020 0.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0146 0.9509 0.996 0.000 0.000 0.000 0.000 0.004
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.3695 0.1667 0.000 0.624 0.000 0.376 0.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 5 0.3432 0.6901 0.000 0.000 0.216 0.020 0.764 0.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 5 0.3244 0.7583 0.000 0.000 0.000 0.268 0.732 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.9530 1.000 0.000 0.000 0.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.8434 0.000 1.000 0.000 0.000 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 3 0.1556 0.8196 0.000 0.000 0.920 0.080 0.000 0.000
#> B3527517-E339-46AE-8437-65303C309015 5 0.3244 0.7583 0.000 0.000 0.000 0.268 0.732 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.1141 0.8203 0.000 0.948 0.000 0.052 0.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 4 0.4445 0.6915 0.000 0.288 0.056 0.656 0.000 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 5 0.3695 0.6642 0.000 0.000 0.000 0.376 0.624 0.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.8434 0.000 1.000 0.000 0.000 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 6 0.0000 0.8927 0.000 0.000 0.000 0.000 0.000 1.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 3 0.4845 0.2190 0.000 0.400 0.540 0.060 0.000 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 4 0.3351 0.7072 0.000 0.288 0.000 0.712 0.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 5 0.0000 0.7931 0.000 0.000 0.000 0.000 1.000 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 5 0.2147 0.7856 0.000 0.000 0.084 0.020 0.896 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.9530 1.000 0.000 0.000 0.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 5 0.0547 0.7912 0.000 0.000 0.000 0.020 0.980 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.1745 0.8066 0.000 0.924 0.020 0.056 0.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 4 0.3706 0.5665 0.000 0.380 0.000 0.620 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.8434 0.000 1.000 0.000 0.000 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 6 0.0000 0.8927 0.000 0.000 0.000 0.000 0.000 1.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.3795 0.3029 0.000 0.632 0.364 0.004 0.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.8434 0.000 1.000 0.000 0.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 6 0.0632 0.8828 0.024 0.000 0.000 0.000 0.000 0.976
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 5 0.3244 0.7583 0.000 0.000 0.000 0.268 0.732 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.9530 1.000 0.000 0.000 0.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.8434 0.000 1.000 0.000 0.000 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.1075 0.9239 0.952 0.000 0.000 0.000 0.000 0.048
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0937 0.8289 0.000 0.960 0.000 0.040 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 6 0.0000 0.8927 0.000 0.000 0.000 0.000 0.000 1.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 6 0.0000 0.8927 0.000 0.000 0.000 0.000 0.000 1.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.1204 0.8175 0.000 0.944 0.000 0.056 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 4 0.3351 0.7072 0.000 0.288 0.000 0.712 0.000 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 6 0.0000 0.8927 0.000 0.000 0.000 0.000 0.000 1.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.8434 0.000 1.000 0.000 0.000 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.8434 0.000 1.000 0.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "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 17288 rows and 266 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 1.000 1.000 0.4343 0.566 0.566
#> 3 3 0.766 0.820 0.917 0.3656 0.829 0.699
#> 4 4 0.700 0.779 0.879 0.1702 0.810 0.577
#> 5 5 0.675 0.669 0.812 0.0566 0.966 0.891
#> 6 6 0.621 0.532 0.753 0.0416 0.947 0.815
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0 1 0 1
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0 1 0 1
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0 1 1 0
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0 1 0 1
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0 1 0 1
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0 1 0 1
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0 1 0 1
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0 1 1 0
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0 1 1 0
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0 1 0 1
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0 1 1 0
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0 1 0 1
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0 1 1 0
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0 1 1 0
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0 1 1 0
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0 1 0 1
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0 1 0 1
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0 1 0 1
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0 1 0 1
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0 1 0 1
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0 1 0 1
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0 1 1 0
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0 1 0 1
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0 1 1 0
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0 1 0 1
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0 1 0 1
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0 1 1 0
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0 1 0 1
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#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0 1 0 1
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#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0 1 0 1
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#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0 1 0 1
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#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0 1 0 1
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0 1 1 0
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#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0 1 0 1
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0 1 0 1
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#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0 1 1 0
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#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0 1 1 0
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0 1 0 1
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0 1 1 0
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0 1 0 1
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#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0 1 0 1
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0 1 1 0
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0 1 0 1
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0 1 0 1
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0 1 0 1
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0 1 0 1
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0 1 0 1
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0 1 0 1
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0 1 1 0
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0 1 1 0
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0 1 0 1
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0 1 0 1
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0 1 0 1
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0 1 0 1
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0 1 1 0
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0 1 0 1
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0 1 1 0
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0 1 1 0
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0 1 0 1
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0 1 0 1
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0 1 0 1
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0 1 1 0
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0 1 0 1
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0 1 0 1
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0 1 1 0
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0 1 0 1
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0 1 0 1
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0 1 1 0
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0 1 1 0
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0 1 0 1
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0 1 1 0
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0 1 0 1
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0 1 0 1
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0 1 0 1
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0 1 1 0
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0 1 0 1
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0 1 0 1
#> B3527517-E339-46AE-8437-65303C309015 2 0 1 0 1
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0 1 0 1
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0 1 0 1
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0 1 0 1
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0 1 0 1
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0 1 1 0
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0 1 0 1
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0 1 0 1
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0 1 0 1
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0 1 0 1
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0 1 1 0
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0 1 0 1
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0 1 0 1
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0 1 0 1
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0 1 0 1
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0 1 1 0
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0 1 0 1
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0 1 0 1
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0 1 1 0
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0 1 0 1
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0 1 1 0
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0 1 0 1
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0 1 1 0
#> CE91F591-6072-4D29-9495-C78961635969 2 0 1 0 1
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0 1 1 0
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0 1 1 0
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0 1 0 1
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0 1 0 1
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0 1 1 0
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0 1 0 1
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0 1 0 1
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.8798 0.000 1.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.8798 0.000 1.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 0.9928 1.000 0.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 3 0.5650 0.5449 0.000 0.312 0.688
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.2959 0.8185 0.000 0.900 0.100
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.2537 0.8336 0.000 0.920 0.080
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.5254 0.6405 0.000 0.264 0.736
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.9928 1.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9928 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.5882 0.5187 0.000 0.348 0.652
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 3 0.5650 0.2445 0.312 0.000 0.688
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.0000 0.7279 0.000 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 3 0.5650 0.2445 0.312 0.000 0.688
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9928 1.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.9928 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.8798 0.000 1.000 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.8798 0.000 1.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.5291 0.6416 0.000 0.732 0.268
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.4062 0.7573 0.000 0.836 0.164
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.8798 0.000 1.000 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.8798 0.000 1.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.9928 1.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.8798 0.000 1.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.9928 1.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0000 0.8798 0.000 1.000 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.5363 0.6314 0.000 0.724 0.276
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.9928 1.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.8798 0.000 1.000 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.9928 1.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 3 0.1753 0.7287 0.000 0.048 0.952
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.9928 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.6062 0.5072 0.000 0.384 0.616
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.5650 0.6230 0.688 0.000 0.312
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.9928 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.8798 0.000 1.000 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 3 0.0237 0.7309 0.000 0.004 0.996
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0000 0.8798 0.000 1.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.0000 0.7279 0.000 0.000 1.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 3 0.0892 0.7337 0.000 0.020 0.980
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.9928 1.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.5363 0.6314 0.000 0.724 0.276
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.9928 1.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.8798 0.000 1.000 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.8798 0.000 1.000 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 3 0.5859 0.5683 0.000 0.344 0.656
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.6286 0.0326 0.000 0.536 0.464
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.8798 0.000 1.000 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.8798 0.000 1.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 3 0.0592 0.7336 0.000 0.012 0.988
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.9928 1.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.8798 0.000 1.000 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.8798 0.000 1.000 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.9928 1.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.9928 1.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.5431 0.6170 0.000 0.716 0.284
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 3 0.6309 0.1187 0.000 0.500 0.500
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.9928 1.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.5363 0.6314 0.000 0.724 0.276
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0000 0.8798 0.000 1.000 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.8798 0.000 1.000 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.4002 0.7669 0.000 0.840 0.160
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.2261 0.8420 0.000 0.932 0.068
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.8798 0.000 1.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 3 0.0237 0.7309 0.000 0.004 0.996
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0000 0.8798 0.000 1.000 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.8798 0.000 1.000 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 3 0.0237 0.7289 0.000 0.004 0.996
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.8798 0.000 1.000 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.9928 1.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.8798 0.000 1.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.9928 1.000 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.9928 1.000 0.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.5363 0.6314 0.000 0.724 0.276
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.5785 0.5823 0.000 0.332 0.668
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.1411 0.8629 0.000 0.964 0.036
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.9928 1.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.8798 0.000 1.000 0.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.0000 0.7279 0.000 0.000 1.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.8798 0.000 1.000 0.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.6026 0.5221 0.000 0.376 0.624
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.8798 0.000 1.000 0.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.5497 0.6535 0.708 0.000 0.292
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.5363 0.6314 0.000 0.724 0.276
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.8798 0.000 1.000 0.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 0.9928 1.000 0.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.5529 0.5940 0.000 0.704 0.296
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.1860 0.8524 0.000 0.948 0.052
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 3 0.0424 0.7312 0.000 0.008 0.992
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.5363 0.6314 0.000 0.724 0.276
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.5363 0.6314 0.000 0.724 0.276
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0.5363 0.6314 0.000 0.724 0.276
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.9928 1.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.0424 0.8766 0.000 0.992 0.008
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0000 0.9928 1.000 0.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.9928 1.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.5363 0.6314 0.000 0.724 0.276
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0.5363 0.6314 0.000 0.724 0.276
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 0.9928 1.000 0.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.0592 0.8748 0.000 0.988 0.012
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.9928 1.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 3 0.6062 0.5072 0.000 0.384 0.616
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.4399 0.7381 0.000 0.812 0.188
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.9928 1.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.8798 0.000 1.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0000 0.9928 1.000 0.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.5810 0.5182 0.000 0.664 0.336
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.0000 0.8798 0.000 1.000 0.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.9928 1.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 3 0.6111 0.4809 0.000 0.396 0.604
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.0237 0.8783 0.000 0.996 0.004
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0.5363 0.6314 0.000 0.724 0.276
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0000 0.9928 1.000 0.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.9928 1.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0000 0.9928 1.000 0.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.5216 0.6525 0.000 0.740 0.260
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.5363 0.6314 0.000 0.724 0.276
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 3 0.6062 0.5072 0.000 0.384 0.616
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.0000 0.8798 0.000 1.000 0.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.8798 0.000 1.000 0.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.5363 0.6314 0.000 0.724 0.276
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 3 0.6140 0.4611 0.000 0.404 0.596
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 2 0.5465 0.6097 0.000 0.712 0.288
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.0592 0.8748 0.000 0.988 0.012
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.8798 0.000 1.000 0.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 3 0.5905 0.5580 0.000 0.352 0.648
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0000 0.8798 0.000 1.000 0.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0000 0.8798 0.000 1.000 0.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0.5363 0.6314 0.000 0.724 0.276
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.9928 1.000 0.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.2066 0.8471 0.000 0.940 0.060
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 2 0.5706 0.5423 0.000 0.680 0.320
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.9928 1.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 3 0.6026 0.5219 0.000 0.376 0.624
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 3 0.0237 0.7289 0.000 0.004 0.996
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0237 0.9895 0.996 0.000 0.004
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.0000 0.8798 0.000 1.000 0.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.8798 0.000 1.000 0.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.9928 1.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0000 0.8798 0.000 1.000 0.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0000 0.9928 1.000 0.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.0424 0.8766 0.000 0.992 0.008
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.0000 0.8798 0.000 1.000 0.000
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 3 0.0237 0.7309 0.000 0.004 0.996
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.5810 0.5037 0.000 0.664 0.336
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0237 0.9895 0.996 0.000 0.004
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0000 0.9928 1.000 0.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.0000 0.8798 0.000 1.000 0.000
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.8798 0.000 1.000 0.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0.5058 0.6736 0.000 0.756 0.244
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.8798 0.000 1.000 0.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.0237 0.7309 0.000 0.004 0.996
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0000 0.9928 1.000 0.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.8798 0.000 1.000 0.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.9928 1.000 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.9928 1.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.0000 0.8798 0.000 1.000 0.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0000 0.9928 1.000 0.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.0000 0.8798 0.000 1.000 0.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.0000 0.8798 0.000 1.000 0.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0000 0.8798 0.000 1.000 0.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 3 0.0237 0.7289 0.000 0.004 0.996
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.9928 1.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 0.9928 1.000 0.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.1289 0.8642 0.000 0.968 0.032
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0.5363 0.6314 0.000 0.724 0.276
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0000 0.9928 1.000 0.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.9928 1.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.9928 1.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0000 0.8798 0.000 1.000 0.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 3 0.0237 0.7289 0.000 0.004 0.996
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 0.9928 1.000 0.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.5591 0.5779 0.000 0.696 0.304
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.8798 0.000 1.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 3 0.5785 0.5821 0.000 0.332 0.668
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.9928 1.000 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.9928 1.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.8798 0.000 1.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.8798 0.000 1.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.5363 0.6314 0.000 0.724 0.276
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0000 0.9928 1.000 0.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.0592 0.8748 0.000 0.988 0.012
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.9928 1.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.0000 0.8798 0.000 1.000 0.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0000 0.9928 1.000 0.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.5363 0.6314 0.000 0.724 0.276
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0000 0.8798 0.000 1.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.2261 0.8419 0.000 0.932 0.068
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.3482 0.7954 0.000 0.872 0.128
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.8798 0.000 1.000 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.8798 0.000 1.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.9928 1.000 0.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.9928 1.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.8798 0.000 1.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0000 0.9928 1.000 0.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 3 0.5988 0.5349 0.000 0.368 0.632
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 0.9928 1.000 0.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0000 0.8798 0.000 1.000 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.5363 0.6314 0.000 0.724 0.276
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.5363 0.6314 0.000 0.724 0.276
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.9928 1.000 0.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0000 0.8798 0.000 1.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.8798 0.000 1.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.8798 0.000 1.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.8798 0.000 1.000 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.5216 0.6532 0.000 0.740 0.260
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.0237 0.8783 0.000 0.996 0.004
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.9928 1.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.9928 1.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.6192 0.4201 0.000 0.420 0.580
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.8798 0.000 1.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.3752 0.7807 0.000 0.856 0.144
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.5529 0.5941 0.000 0.704 0.296
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 3 0.5859 0.1696 0.344 0.000 0.656
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 3 0.0237 0.7289 0.000 0.004 0.996
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.9928 1.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.9928 1.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.5016 0.6781 0.000 0.760 0.240
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.8798 0.000 1.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.8798 0.000 1.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.9928 1.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.2625 0.8314 0.000 0.916 0.084
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.1163 0.8665 0.000 0.972 0.028
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.9928 1.000 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.8798 0.000 1.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.8798 0.000 1.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9928 1.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.9928 1.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.5363 0.6314 0.000 0.724 0.276
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.9928 1.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.8798 0.000 1.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.5859 0.4822 0.000 0.656 0.344
#> CAE8097F-A139-4C6E-9E30-35080475FF34 3 0.4842 0.6659 0.000 0.224 0.776
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.9928 1.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.8798 0.000 1.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.4452 0.7311 0.000 0.808 0.192
#> B3527517-E339-46AE-8437-65303C309015 3 0.6215 0.3931 0.000 0.428 0.572
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.8798 0.000 1.000 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 3 0.4291 0.6882 0.000 0.180 0.820
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.6280 0.2848 0.000 0.460 0.540
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.8798 0.000 1.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.9928 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 3 0.0237 0.7289 0.000 0.004 0.996
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.8798 0.000 1.000 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.6111 0.4809 0.000 0.396 0.604
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.5363 0.6314 0.000 0.724 0.276
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.9928 1.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.5810 0.5041 0.000 0.664 0.336
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.8798 0.000 1.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.8798 0.000 1.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.8798 0.000 1.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9928 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.8798 0.000 1.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.8798 0.000 1.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.9928 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 3 0.0237 0.7309 0.000 0.004 0.996
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.9928 1.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.8798 0.000 1.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.9928 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.8798 0.000 1.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9928 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.9928 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.8798 0.000 1.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0424 0.8768 0.000 0.992 0.008
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9928 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.8798 0.000 1.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.8798 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0188 0.934 0.000 0.996 0.004 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0592 0.931 0.000 0.984 0.016 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0188 0.897 0.996 0.000 0.000 0.004
#> 3182DEA1-4239-4613-925A-7E6503766AD6 3 0.5874 0.654 0.000 0.192 0.696 0.112
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.5163 0.292 0.000 0.480 0.516 0.004
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.5060 0.487 0.000 0.412 0.584 0.004
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.1489 0.740 0.000 0.004 0.952 0.044
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.4790 0.580 0.620 0.000 0.000 0.380
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0336 0.896 0.992 0.000 0.000 0.008
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.4039 0.768 0.000 0.084 0.836 0.080
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 4 0.4920 0.342 0.368 0.000 0.004 0.628
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.5793 0.135 0.000 0.036 0.580 0.384
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 4 0.4920 0.342 0.368 0.000 0.004 0.628
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.897 1.000 0.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0469 0.896 0.988 0.000 0.000 0.012
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0188 0.934 0.000 0.996 0.004 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.1022 0.924 0.000 0.968 0.032 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.3972 0.749 0.000 0.204 0.788 0.008
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.4792 0.549 0.000 0.680 0.312 0.008
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0469 0.934 0.000 0.988 0.000 0.012
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.2469 0.865 0.000 0.892 0.108 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.1716 0.861 0.936 0.000 0.000 0.064
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.1398 0.919 0.000 0.956 0.040 0.004
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.897 1.000 0.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.2647 0.834 0.000 0.880 0.120 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.3427 0.794 0.000 0.112 0.860 0.028
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.897 1.000 0.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0657 0.935 0.000 0.984 0.004 0.012
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.4804 0.575 0.616 0.000 0.000 0.384
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 3 0.1297 0.748 0.000 0.016 0.964 0.020
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.1389 0.858 0.952 0.000 0.000 0.048
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.1042 0.757 0.000 0.020 0.972 0.008
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 4 0.4925 0.204 0.428 0.000 0.000 0.572
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0592 0.895 0.984 0.000 0.000 0.016
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0804 0.935 0.000 0.980 0.008 0.012
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 3 0.3266 0.524 0.000 0.000 0.832 0.168
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0524 0.935 0.000 0.988 0.008 0.004
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 4 0.5292 0.304 0.000 0.008 0.480 0.512
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 3 0.5235 0.530 0.000 0.048 0.716 0.236
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.4817 0.571 0.612 0.000 0.000 0.388
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.3863 0.786 0.000 0.144 0.828 0.028
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0188 0.897 0.996 0.000 0.000 0.004
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0469 0.934 0.000 0.988 0.000 0.012
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.3528 0.723 0.000 0.808 0.192 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 3 0.1174 0.756 0.000 0.020 0.968 0.012
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.1635 0.773 0.000 0.044 0.948 0.008
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0469 0.934 0.000 0.988 0.000 0.012
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.934 0.000 1.000 0.000 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 3 0.2611 0.658 0.000 0.008 0.896 0.096
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.3688 0.742 0.792 0.000 0.000 0.208
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0188 0.934 0.000 0.996 0.004 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0657 0.935 0.000 0.984 0.004 0.012
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0336 0.897 0.992 0.000 0.000 0.008
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0336 0.896 0.992 0.000 0.000 0.008
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.2999 0.794 0.000 0.132 0.864 0.004
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 3 0.1151 0.760 0.000 0.024 0.968 0.008
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.897 1.000 0.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 3 0.2593 0.771 0.000 0.104 0.892 0.004
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0592 0.932 0.000 0.984 0.016 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.3074 0.830 0.000 0.848 0.152 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.3837 0.745 0.000 0.776 0.224 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.5055 0.546 0.000 0.368 0.624 0.008
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0592 0.932 0.000 0.984 0.016 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 3 0.2469 0.627 0.000 0.000 0.892 0.108
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0804 0.935 0.000 0.980 0.008 0.012
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0804 0.935 0.000 0.980 0.008 0.012
#> CF629C65-585D-476D-B081-3E6E0575FAE3 4 0.4972 0.441 0.000 0.000 0.456 0.544
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0469 0.934 0.000 0.988 0.000 0.012
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0188 0.897 0.996 0.000 0.000 0.004
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0817 0.928 0.000 0.976 0.024 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0188 0.897 0.996 0.000 0.000 0.004
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.4790 0.580 0.620 0.000 0.000 0.380
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.3913 0.785 0.000 0.148 0.824 0.028
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.1174 0.756 0.000 0.020 0.968 0.012
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.4746 0.439 0.000 0.632 0.368 0.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0336 0.896 0.992 0.000 0.000 0.008
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0469 0.934 0.000 0.988 0.000 0.012
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.5290 -0.258 0.000 0.008 0.516 0.476
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#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.2675 0.793 0.000 0.100 0.892 0.008
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.4790 0.580 0.620 0.000 0.000 0.380
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.1854 0.777 0.000 0.048 0.940 0.012
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0188 0.934 0.000 0.996 0.004 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0469 0.933 0.000 0.988 0.012 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0469 0.934 0.000 0.988 0.000 0.012
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.897 1.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0672 0.935 0.000 0.984 0.008 0.008
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0657 0.935 0.000 0.984 0.004 0.012
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0469 0.896 0.988 0.000 0.000 0.012
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 3 0.1474 0.695 0.000 0.000 0.948 0.052
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0188 0.897 0.996 0.000 0.000 0.004
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0469 0.934 0.000 0.988 0.000 0.012
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0188 0.897 0.996 0.000 0.000 0.004
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0469 0.934 0.000 0.988 0.000 0.012
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0188 0.897 0.996 0.000 0.000 0.004
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0469 0.896 0.988 0.000 0.000 0.012
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0188 0.934 0.000 0.996 0.004 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.2814 0.847 0.000 0.868 0.132 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0188 0.897 0.996 0.000 0.000 0.004
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0469 0.934 0.000 0.988 0.000 0.012
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0469 0.934 0.000 0.988 0.000 0.012
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0566 0.8042 0.000 0.984 0.012 0.000 0.004
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0671 0.8035 0.000 0.980 0.016 0.000 0.004
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0404 0.9095 0.988 0.000 0.000 0.012 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 3 0.7278 -0.0187 0.000 0.280 0.428 0.028 0.264
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.5554 0.2579 0.000 0.408 0.528 0.004 0.060
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.4676 0.3725 0.000 0.392 0.592 0.004 0.012
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.4940 0.2723 0.000 0.008 0.724 0.088 0.180
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.4249 -0.4068 0.568 0.000 0.000 0.432 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.1216 0.9056 0.960 0.000 0.000 0.020 0.020
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.3622 0.5787 0.000 0.048 0.816 0.000 0.136
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 4 0.7167 0.1690 0.204 0.000 0.028 0.432 0.336
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.6102 -0.5239 0.000 0.016 0.536 0.088 0.360
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 4 0.7167 0.1690 0.204 0.000 0.028 0.432 0.336
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0290 0.9098 0.992 0.000 0.000 0.008 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.1216 0.9056 0.960 0.000 0.000 0.020 0.020
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0865 0.8022 0.000 0.972 0.024 0.000 0.004
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0771 0.8029 0.000 0.976 0.020 0.000 0.004
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.3387 0.6201 0.000 0.196 0.796 0.004 0.004
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.4268 0.3598 0.000 0.648 0.344 0.000 0.008
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.3966 0.7224 0.000 0.664 0.000 0.000 0.336
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0794 0.8022 0.000 0.972 0.028 0.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.1792 0.8144 0.916 0.000 0.000 0.084 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0290 0.8052 0.000 0.992 0.008 0.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.4552 0.3726 0.000 0.632 0.352 0.004 0.012
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.2102 0.7030 0.000 0.068 0.916 0.004 0.012
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.3966 0.7224 0.000 0.664 0.000 0.000 0.336
#> 53640D52-1167-4A5D-B656-97D32CBA3934 4 0.4297 0.6287 0.472 0.000 0.000 0.528 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 3 0.4462 0.5957 0.000 0.044 0.796 0.060 0.100
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.1544 0.8499 0.932 0.000 0.000 0.068 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.3677 0.6628 0.000 0.044 0.848 0.060 0.048
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.6819 -0.4445 0.348 0.000 0.000 0.312 0.340
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.1310 0.9034 0.956 0.000 0.000 0.024 0.020
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.4025 0.7364 0.000 0.700 0.008 0.000 0.292
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 3 0.6110 -0.1934 0.000 0.004 0.576 0.160 0.260
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.1082 0.8075 0.000 0.964 0.008 0.000 0.028
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 5 0.6646 0.7767 0.000 0.000 0.380 0.224 0.396
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 3 0.5277 -0.4726 0.000 0.008 0.524 0.032 0.436
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 4 0.4291 0.6398 0.464 0.000 0.000 0.536 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.2054 0.7004 0.000 0.072 0.916 0.008 0.004
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.1117 0.9067 0.964 0.000 0.000 0.020 0.016
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.3966 0.7224 0.000 0.664 0.000 0.000 0.336
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.5860 0.3987 0.000 0.588 0.304 0.008 0.100
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 3 0.3529 0.6667 0.000 0.052 0.856 0.056 0.036
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.3812 0.6867 0.000 0.064 0.840 0.052 0.044
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.3242 0.7735 0.000 0.784 0.000 0.000 0.216
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.3718 0.7674 0.000 0.784 0.016 0.004 0.196
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 3 0.4936 0.5204 0.000 0.040 0.756 0.068 0.136
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.2773 0.6339 0.836 0.000 0.000 0.164 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0771 0.8038 0.000 0.976 0.020 0.000 0.004
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.3966 0.7224 0.000 0.664 0.000 0.000 0.336
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.1117 0.9067 0.964 0.000 0.000 0.020 0.016
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.1216 0.9056 0.960 0.000 0.000 0.020 0.020
#> C1113977-B160-45EE-B061-750F9EA3F33F 3 0.2289 0.7070 0.000 0.080 0.904 0.004 0.012
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 3 0.3525 0.6661 0.000 0.048 0.856 0.060 0.036
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0290 0.9098 0.992 0.000 0.000 0.008 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 3 0.3855 0.6821 0.000 0.120 0.816 0.056 0.008
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0566 0.8043 0.000 0.984 0.012 0.000 0.004
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.3048 0.6938 0.000 0.820 0.176 0.000 0.004
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.4594 0.2878 0.000 0.624 0.360 0.008 0.008
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.5185 0.3693 0.000 0.376 0.580 0.004 0.040
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0566 0.8043 0.000 0.984 0.012 0.000 0.004
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 3 0.5902 -0.0584 0.000 0.004 0.608 0.148 0.240
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.3291 0.7985 0.000 0.840 0.040 0.000 0.120
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.3957 0.7373 0.000 0.712 0.008 0.000 0.280
#> CF629C65-585D-476D-B081-3E6E0575FAE3 5 0.5815 0.8693 0.000 0.000 0.272 0.136 0.592
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.3706 0.7584 0.000 0.756 0.004 0.004 0.236
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0290 0.9098 0.992 0.000 0.000 0.008 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0865 0.8018 0.000 0.972 0.024 0.000 0.004
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0290 0.9098 0.992 0.000 0.000 0.008 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 4 0.4307 0.5669 0.500 0.000 0.000 0.500 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.1952 0.7013 0.000 0.084 0.912 0.004 0.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 3 0.3667 0.6549 0.000 0.040 0.848 0.064 0.048
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.4562 -0.2077 0.000 0.496 0.496 0.000 0.008
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.1216 0.9056 0.960 0.000 0.000 0.020 0.020
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.3837 0.7380 0.000 0.692 0.000 0.000 0.308
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 3 0.6564 -0.7667 0.000 0.000 0.420 0.204 0.376
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.1408 0.8049 0.000 0.948 0.008 0.000 0.044
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.4536 0.5194 0.000 0.028 0.780 0.060 0.132
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.4084 0.7259 0.000 0.668 0.004 0.000 0.328
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 4 0.6785 0.3301 0.304 0.000 0.000 0.388 0.308
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.1952 0.7013 0.000 0.084 0.912 0.004 0.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.3689 0.7485 0.000 0.740 0.004 0.000 0.256
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 4 0.4088 0.7339 0.368 0.000 0.000 0.632 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 3 0.3528 0.6944 0.000 0.084 0.848 0.052 0.016
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.5310 0.1798 0.000 0.448 0.508 0.004 0.040
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 3 0.5240 -0.3104 0.000 0.004 0.580 0.044 0.372
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.1732 0.7050 0.000 0.080 0.920 0.000 0.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.1768 0.7038 0.000 0.072 0.924 0.004 0.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.1990 0.7003 0.000 0.068 0.920 0.008 0.004
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0290 0.9101 0.992 0.000 0.000 0.008 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.4084 0.4099 0.000 0.668 0.328 0.000 0.004
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.4150 -0.2325 0.612 0.000 0.000 0.388 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.1216 0.9056 0.960 0.000 0.000 0.020 0.020
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.1956 0.7028 0.000 0.076 0.916 0.008 0.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.2304 0.7033 0.000 0.068 0.908 0.004 0.020
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0451 0.9107 0.988 0.000 0.000 0.008 0.004
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 3 0.5148 0.1787 0.000 0.452 0.516 0.008 0.024
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0510 0.9077 0.984 0.000 0.000 0.016 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 3 0.3518 0.6643 0.000 0.044 0.856 0.064 0.036
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.4860 0.4750 0.000 0.292 0.664 0.004 0.040
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0693 0.8065 0.000 0.980 0.008 0.000 0.012
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.2416 0.8147 0.888 0.000 0.000 0.100 0.012
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.3757 0.6552 0.000 0.088 0.828 0.008 0.076
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.1408 0.7963 0.000 0.948 0.044 0.000 0.008
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.1216 0.9056 0.960 0.000 0.000 0.020 0.020
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 3 0.3455 0.6633 0.000 0.040 0.860 0.060 0.040
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.4000 0.7045 0.000 0.788 0.164 0.004 0.044
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 3 0.1991 0.7063 0.000 0.076 0.916 0.004 0.004
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0510 0.9077 0.984 0.000 0.000 0.016 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.1216 0.9056 0.960 0.000 0.000 0.020 0.020
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0290 0.9098 0.992 0.000 0.000 0.008 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 3 0.2536 0.6830 0.000 0.128 0.868 0.004 0.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 3 0.1990 0.6983 0.000 0.068 0.920 0.008 0.004
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 3 0.3525 0.6661 0.000 0.048 0.856 0.060 0.036
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.2522 0.7974 0.000 0.896 0.052 0.000 0.052
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.4681 0.7316 0.000 0.728 0.064 0.004 0.204
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 3 0.1894 0.7014 0.000 0.072 0.920 0.008 0.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 3 0.5265 0.4888 0.000 0.212 0.700 0.060 0.028
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 3 0.3413 0.6095 0.000 0.052 0.844 0.004 0.100
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.5185 0.2832 0.000 0.580 0.376 0.004 0.040
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.2763 0.7895 0.000 0.848 0.004 0.000 0.148
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 3 0.4004 0.6493 0.000 0.080 0.824 0.068 0.028
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.1041 0.8070 0.000 0.964 0.004 0.000 0.032
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0771 0.8031 0.000 0.976 0.020 0.000 0.004
#> 65C9D28E-303B-40E5-84F0-2507F5457374 3 0.2172 0.6964 0.000 0.060 0.916 0.004 0.020
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 4 0.4150 0.7275 0.388 0.000 0.000 0.612 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 3 0.3774 0.5105 0.000 0.296 0.704 0.000 0.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 3 0.2681 0.6651 0.000 0.052 0.892 0.004 0.052
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.1216 0.9056 0.960 0.000 0.000 0.020 0.020
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 3 0.3458 0.6671 0.000 0.048 0.860 0.056 0.036
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 5 0.5274 0.8590 0.000 0.000 0.372 0.056 0.572
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0992 0.8993 0.968 0.000 0.000 0.024 0.008
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.3449 0.7475 0.000 0.836 0.120 0.004 0.040
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0324 0.8061 0.000 0.992 0.004 0.000 0.004
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0162 0.9118 0.996 0.000 0.000 0.000 0.004
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.2763 0.7127 0.000 0.848 0.148 0.000 0.004
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0290 0.9098 0.992 0.000 0.000 0.008 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.3814 0.5234 0.000 0.720 0.276 0.000 0.004
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.1282 0.7944 0.000 0.952 0.044 0.000 0.004
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 3 0.6194 -0.5016 0.000 0.000 0.516 0.156 0.328
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 3 0.4774 0.6225 0.000 0.180 0.744 0.056 0.020
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.1300 0.9012 0.956 0.000 0.000 0.028 0.016
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0290 0.9098 0.992 0.000 0.000 0.008 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.3196 0.6532 0.000 0.804 0.192 0.000 0.004
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.3966 0.7224 0.000 0.664 0.000 0.000 0.336
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 3 0.3129 0.6546 0.000 0.156 0.832 0.004 0.008
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.2848 0.7852 0.000 0.840 0.004 0.000 0.156
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 3 0.6102 -0.4014 0.000 0.000 0.560 0.176 0.264
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0290 0.9098 0.992 0.000 0.000 0.008 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.3928 0.7304 0.000 0.700 0.004 0.000 0.296
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.2079 0.8536 0.916 0.000 0.000 0.064 0.020
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.1216 0.9056 0.960 0.000 0.000 0.020 0.020
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.0955 0.8066 0.000 0.968 0.004 0.000 0.028
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 4 0.4030 0.7303 0.352 0.000 0.000 0.648 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.4880 0.4930 0.000 0.660 0.296 0.004 0.040
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.0579 0.8069 0.000 0.984 0.008 0.000 0.008
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.1357 0.8053 0.000 0.948 0.004 0.000 0.048
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 5 0.5519 0.8986 0.000 0.000 0.332 0.084 0.584
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.1216 0.9056 0.960 0.000 0.000 0.020 0.020
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0290 0.9098 0.992 0.000 0.000 0.008 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 3 0.4161 0.3954 0.000 0.392 0.608 0.000 0.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.1671 0.7049 0.000 0.076 0.924 0.000 0.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.4291 -0.5038 0.536 0.000 0.000 0.464 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.1117 0.9067 0.964 0.000 0.000 0.020 0.016
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0404 0.9095 0.988 0.000 0.000 0.012 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.3838 0.7354 0.000 0.716 0.004 0.000 0.280
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 5 0.5851 0.8693 0.000 0.000 0.272 0.140 0.588
#> F972A9AA-9842-4343-A533-A795E65581CE 4 0.4088 0.7339 0.368 0.000 0.000 0.632 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 3 0.3538 0.6821 0.000 0.080 0.848 0.056 0.016
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0404 0.8051 0.000 0.988 0.012 0.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 3 0.3937 0.6418 0.000 0.040 0.832 0.064 0.064
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.1740 0.8793 0.932 0.000 0.000 0.056 0.012
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.9116 1.000 0.000 0.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.1892 0.8066 0.000 0.916 0.004 0.000 0.080
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.3932 0.7273 0.000 0.672 0.000 0.000 0.328
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.1990 0.7037 0.000 0.068 0.920 0.004 0.008
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 4 0.4060 0.7329 0.360 0.000 0.000 0.640 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.4186 0.6812 0.000 0.768 0.184 0.004 0.044
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.1216 0.9056 0.960 0.000 0.000 0.020 0.020
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.0579 0.8053 0.000 0.984 0.008 0.000 0.008
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0609 0.9015 0.980 0.000 0.000 0.020 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.1928 0.7004 0.000 0.072 0.920 0.004 0.004
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.3398 0.7683 0.000 0.780 0.004 0.000 0.216
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.4333 0.4364 0.000 0.352 0.640 0.004 0.004
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.3949 0.5094 0.000 0.300 0.696 0.004 0.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.4211 0.7055 0.000 0.636 0.004 0.000 0.360
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0671 0.8035 0.000 0.980 0.016 0.000 0.004
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0290 0.9098 0.992 0.000 0.000 0.008 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.1216 0.9056 0.960 0.000 0.000 0.020 0.020
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.4029 0.7346 0.000 0.680 0.004 0.000 0.316
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 4 0.4206 0.6938 0.288 0.000 0.000 0.696 0.016
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 3 0.3529 0.6667 0.000 0.052 0.856 0.056 0.036
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 4 0.4235 0.6967 0.424 0.000 0.000 0.576 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.2674 0.7277 0.000 0.856 0.140 0.000 0.004
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.2304 0.7033 0.000 0.068 0.908 0.004 0.020
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.1892 0.7063 0.000 0.080 0.916 0.004 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0162 0.9110 0.996 0.000 0.000 0.004 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.3151 0.7872 0.000 0.864 0.064 0.004 0.068
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.3932 0.7266 0.000 0.672 0.000 0.000 0.328
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0451 0.8047 0.000 0.988 0.008 0.000 0.004
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.1571 0.7881 0.000 0.936 0.060 0.000 0.004
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.2984 0.6792 0.000 0.124 0.856 0.004 0.016
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.4362 0.3389 0.000 0.632 0.360 0.004 0.004
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0290 0.9098 0.992 0.000 0.000 0.008 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.1216 0.9056 0.960 0.000 0.000 0.020 0.020
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.4769 0.5515 0.000 0.216 0.720 0.056 0.008
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.1597 0.8064 0.000 0.940 0.012 0.000 0.048
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.3086 0.6383 0.000 0.180 0.816 0.004 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 3 0.3623 0.6925 0.000 0.072 0.848 0.052 0.028
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 4 0.7109 0.1827 0.208 0.000 0.024 0.436 0.332
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 5 0.5519 0.8986 0.000 0.000 0.332 0.084 0.584
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 4 0.4171 0.7203 0.396 0.000 0.000 0.604 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.1216 0.9056 0.960 0.000 0.000 0.020 0.020
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 3 0.2921 0.6767 0.000 0.148 0.844 0.004 0.004
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.1952 0.7768 0.000 0.912 0.084 0.000 0.004
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.2848 0.7866 0.000 0.840 0.004 0.000 0.156
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0290 0.9098 0.992 0.000 0.000 0.008 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.4615 0.6169 0.000 0.220 0.724 0.052 0.004
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.6293 0.2378 0.000 0.520 0.340 0.008 0.132
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.1399 0.9014 0.952 0.000 0.000 0.028 0.020
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.4047 0.7323 0.000 0.676 0.004 0.000 0.320
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.4118 0.7238 0.000 0.660 0.004 0.000 0.336
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0290 0.9098 0.992 0.000 0.000 0.008 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0290 0.9098 0.992 0.000 0.000 0.008 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.1732 0.7042 0.000 0.080 0.920 0.000 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0404 0.9076 0.988 0.000 0.000 0.012 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0451 0.8047 0.000 0.988 0.008 0.000 0.004
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.2522 0.7065 0.000 0.076 0.896 0.004 0.024
#> CAE8097F-A139-4C6E-9E30-35080475FF34 3 0.3498 0.6198 0.000 0.016 0.848 0.092 0.044
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 4 0.4101 0.7330 0.372 0.000 0.000 0.628 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.4015 0.7149 0.000 0.652 0.000 0.000 0.348
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 3 0.4716 0.5129 0.000 0.308 0.656 0.036 0.000
#> B3527517-E339-46AE-8437-65303C309015 3 0.3602 0.6724 0.000 0.048 0.852 0.060 0.040
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.3366 0.7689 0.000 0.784 0.000 0.004 0.212
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 3 0.3834 0.6117 0.000 0.052 0.816 0.008 0.124
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.3729 0.6839 0.000 0.064 0.844 0.056 0.036
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.3966 0.7224 0.000 0.664 0.000 0.000 0.336
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.1216 0.9056 0.960 0.000 0.000 0.020 0.020
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 5 0.5320 0.8651 0.000 0.000 0.368 0.060 0.572
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.1116 0.8003 0.000 0.964 0.028 0.004 0.004
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.3976 0.5874 0.000 0.024 0.824 0.068 0.084
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.2977 0.7063 0.000 0.076 0.876 0.040 0.008
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 4 0.4302 0.6131 0.480 0.000 0.000 0.520 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.3432 0.6928 0.000 0.060 0.860 0.052 0.028
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.2775 0.7934 0.000 0.884 0.036 0.004 0.076
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0671 0.8035 0.000 0.980 0.016 0.000 0.004
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.3966 0.7217 0.000 0.664 0.000 0.000 0.336
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0290 0.9098 0.992 0.000 0.000 0.008 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.1557 0.8087 0.000 0.940 0.008 0.000 0.052
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.3949 0.7286 0.000 0.696 0.004 0.000 0.300
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.1216 0.9056 0.960 0.000 0.000 0.020 0.020
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 3 0.5778 -0.0117 0.000 0.004 0.620 0.132 0.244
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0290 0.9098 0.992 0.000 0.000 0.008 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.4084 0.7278 0.000 0.668 0.004 0.000 0.328
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0771 0.9091 0.976 0.000 0.000 0.020 0.004
#> CE91F591-6072-4D29-9495-C78961635969 2 0.3398 0.7742 0.000 0.780 0.004 0.000 0.216
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0404 0.9095 0.988 0.000 0.000 0.012 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.1216 0.9056 0.960 0.000 0.000 0.020 0.020
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.1831 0.8067 0.000 0.920 0.004 0.000 0.076
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.3718 0.6521 0.000 0.784 0.196 0.016 0.004
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.1012 0.9076 0.968 0.000 0.000 0.020 0.012
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.3932 0.7266 0.000 0.672 0.000 0.000 0.328
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.4118 0.7238 0.000 0.660 0.004 0.000 0.336
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.1297 0.61509 0.000 0.948 0.012 0.040 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.2070 0.60622 0.000 0.908 0.048 0.044 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0972 0.86143 0.964 0.000 0.000 0.008 0.000 0.028
#> 3182DEA1-4239-4613-925A-7E6503766AD6 3 0.6707 0.26612 0.000 0.264 0.440 0.028 0.260 0.008
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.4636 0.32999 0.000 0.412 0.556 0.008 0.020 0.004
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.4293 0.38517 0.000 0.396 0.584 0.000 0.016 0.004
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.5529 -0.63383 0.000 0.000 0.456 0.132 0.412 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.3868 -0.33891 0.508 0.000 0.000 0.000 0.000 0.492
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.2972 0.86419 0.852 0.000 0.000 0.016 0.108 0.024
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.6225 0.17447 0.000 0.092 0.600 0.064 0.224 0.020
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 6 0.6735 0.32778 0.048 0.000 0.000 0.224 0.304 0.424
#> 844E4CCD-D30C-416F-A086-8923711A4E25 5 0.7020 0.60851 0.000 0.040 0.396 0.116 0.400 0.048
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 6 0.6735 0.32778 0.048 0.000 0.000 0.224 0.304 0.424
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0146 0.87802 0.996 0.000 0.000 0.000 0.000 0.004
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#> 5A07041C-65EB-4FCD-8940-E90B905061B5 5 0.3872 0.79166 0.000 0.000 0.264 0.020 0.712 0.004
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.2517 0.87323 0.876 0.000 0.000 0.008 0.100 0.016
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 0.87842 1.000 0.000 0.000 0.000 0.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 3 0.4409 0.38557 0.000 0.388 0.588 0.004 0.016 0.004
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 3 0.2112 0.59571 0.000 0.088 0.896 0.016 0.000 0.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 6 0.3817 0.52641 0.432 0.000 0.000 0.000 0.000 0.568
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.3305 0.86141 0.836 0.000 0.000 0.020 0.104 0.040
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0713 0.86718 0.972 0.000 0.000 0.000 0.000 0.028
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.3868 -0.92112 0.000 0.504 0.000 0.496 0.000 0.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 5 0.3738 0.77211 0.000 0.000 0.236 0.012 0.740 0.012
#> F972A9AA-9842-4343-A533-A795E65581CE 6 0.2941 0.75189 0.220 0.000 0.000 0.000 0.000 0.780
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 3 0.4201 0.48623 0.000 0.076 0.776 0.032 0.116 0.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.1633 0.61239 0.000 0.932 0.024 0.044 0.000 0.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 3 0.4726 0.29213 0.000 0.020 0.704 0.080 0.196 0.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.3954 0.76273 0.780 0.000 0.000 0.020 0.052 0.148
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.87842 1.000 0.000 0.000 0.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.1802 0.52828 0.000 0.916 0.012 0.072 0.000 0.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.3802 -0.34591 0.000 0.676 0.012 0.312 0.000 0.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 3 0.3812 0.55349 0.000 0.068 0.816 0.080 0.032 0.004
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 6 0.2912 0.75135 0.216 0.000 0.000 0.000 0.000 0.784
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.3053 0.50473 0.000 0.812 0.172 0.012 0.004 0.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.3443 0.85318 0.828 0.000 0.000 0.032 0.108 0.032
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.1151 0.61199 0.000 0.956 0.012 0.032 0.000 0.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0632 0.87109 0.976 0.000 0.000 0.000 0.000 0.024
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 3 0.3559 0.55834 0.000 0.092 0.816 0.084 0.004 0.004
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.3405 -0.18317 0.000 0.724 0.004 0.272 0.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 3 0.4796 0.46622 0.000 0.332 0.616 0.036 0.012 0.004
#> 0F00E267-C748-4A71-8B36-03C410641D88 3 0.4406 0.48792 0.000 0.316 0.648 0.004 0.028 0.004
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 4 0.3995 0.95404 0.000 0.480 0.004 0.516 0.000 0.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.2599 0.60299 0.000 0.888 0.052 0.048 0.008 0.004
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.87842 1.000 0.000 0.000 0.000 0.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.3443 0.85258 0.828 0.000 0.000 0.032 0.108 0.032
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.4076 -0.67423 0.000 0.592 0.012 0.396 0.000 0.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 6 0.4078 0.72633 0.180 0.000 0.000 0.004 0.068 0.748
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 3 0.4715 0.42184 0.000 0.048 0.736 0.080 0.136 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 6 0.3672 0.63872 0.368 0.000 0.000 0.000 0.000 0.632
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.3255 0.57825 0.000 0.840 0.100 0.048 0.008 0.004
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.4910 0.49829 0.000 0.068 0.736 0.104 0.088 0.004
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.2006 0.59520 0.000 0.080 0.904 0.016 0.000 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.1644 0.88031 0.932 0.000 0.000 0.000 0.040 0.028
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.2058 0.56183 0.000 0.908 0.036 0.056 0.000 0.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.4183 -0.90694 0.000 0.508 0.012 0.480 0.000 0.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.1196 0.60898 0.000 0.952 0.008 0.040 0.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.3158 0.58861 0.000 0.848 0.092 0.048 0.008 0.004
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.4102 0.56377 0.000 0.188 0.752 0.048 0.008 0.004
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.4820 0.14146 0.000 0.532 0.428 0.024 0.012 0.004
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0146 0.87802 0.996 0.000 0.000 0.000 0.000 0.004
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.3514 0.85050 0.824 0.000 0.000 0.036 0.108 0.032
#> A2792419-8E16-45FE-A524-17851F34AB9B 3 0.5469 0.24858 0.000 0.332 0.572 0.024 0.068 0.004
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.1088 0.58931 0.000 0.960 0.016 0.024 0.000 0.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.4444 0.53010 0.000 0.248 0.696 0.044 0.008 0.004
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 3 0.3977 0.51277 0.000 0.064 0.796 0.036 0.104 0.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 6 0.6786 0.35724 0.056 0.000 0.000 0.224 0.284 0.436
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 5 0.3872 0.79166 0.000 0.000 0.264 0.020 0.712 0.004
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 6 0.2996 0.75144 0.228 0.000 0.000 0.000 0.000 0.772
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.3443 0.85258 0.828 0.000 0.000 0.032 0.108 0.032
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 3 0.3562 0.59028 0.000 0.168 0.788 0.000 0.040 0.004
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.3501 0.56306 0.000 0.816 0.128 0.044 0.008 0.004
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.2595 0.35630 0.000 0.836 0.004 0.160 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.87842 1.000 0.000 0.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 3 0.4521 0.51797 0.000 0.268 0.680 0.012 0.036 0.004
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.5593 -0.03464 0.000 0.496 0.416 0.024 0.056 0.008
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.3514 0.85050 0.824 0.000 0.000 0.036 0.108 0.032
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.4152 -0.80265 0.000 0.548 0.012 0.440 0.000 0.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 4 0.4091 0.97906 0.000 0.472 0.008 0.520 0.000 0.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0146 0.87802 0.996 0.000 0.000 0.000 0.000 0.004
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.87842 1.000 0.000 0.000 0.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.2917 0.58792 0.000 0.104 0.852 0.040 0.000 0.004
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0363 0.87385 0.988 0.000 0.000 0.000 0.000 0.012
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.1124 0.60883 0.000 0.956 0.008 0.036 0.000 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.3424 0.56858 0.000 0.092 0.812 0.000 0.096 0.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 3 0.4573 0.41049 0.000 0.044 0.744 0.068 0.144 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 6 0.2969 0.75145 0.224 0.000 0.000 0.000 0.000 0.776
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 4 0.3991 0.97716 0.000 0.472 0.004 0.524 0.000 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 3 0.5693 0.42800 0.000 0.332 0.560 0.048 0.056 0.004
#> B3527517-E339-46AE-8437-65303C309015 3 0.4078 0.46733 0.000 0.036 0.784 0.056 0.124 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.2445 0.47442 0.000 0.868 0.008 0.120 0.004 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 3 0.4596 0.46048 0.000 0.096 0.696 0.004 0.204 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 3 0.3845 0.48575 0.000 0.048 0.800 0.032 0.120 0.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 4 0.4175 0.97569 0.000 0.464 0.012 0.524 0.000 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.3443 0.85258 0.828 0.000 0.000 0.032 0.108 0.032
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 5 0.3872 0.79166 0.000 0.000 0.264 0.020 0.712 0.004
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.2950 0.58423 0.000 0.864 0.076 0.048 0.008 0.004
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.5540 -0.48725 0.000 0.000 0.520 0.128 0.348 0.004
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.1845 0.59414 0.000 0.072 0.916 0.004 0.008 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 6 0.3774 0.57241 0.408 0.000 0.000 0.000 0.000 0.592
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.3566 0.50635 0.000 0.032 0.820 0.024 0.120 0.004
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.1492 0.59682 0.000 0.940 0.024 0.036 0.000 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.1934 0.60795 0.000 0.916 0.040 0.044 0.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.4057 -0.62307 0.000 0.600 0.012 0.388 0.000 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0146 0.87802 0.996 0.000 0.000 0.000 0.000 0.004
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.1225 0.57441 0.000 0.952 0.012 0.036 0.000 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 4 0.3993 0.97576 0.000 0.476 0.004 0.520 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.3514 0.85050 0.824 0.000 0.000 0.036 0.108 0.032
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 5 0.5188 0.65012 0.000 0.016 0.436 0.052 0.496 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0260 0.87594 0.992 0.000 0.000 0.000 0.000 0.008
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.4076 -0.84828 0.000 0.540 0.008 0.452 0.000 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.1950 0.88117 0.912 0.000 0.000 0.000 0.064 0.024
#> CE91F591-6072-4D29-9495-C78961635969 2 0.3052 0.13936 0.000 0.780 0.004 0.216 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0547 0.87222 0.980 0.000 0.000 0.000 0.000 0.020
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.3369 0.85484 0.832 0.000 0.000 0.028 0.108 0.032
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0891 0.59022 0.000 0.968 0.008 0.024 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.4164 0.50562 0.000 0.756 0.176 0.052 0.012 0.004
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.3366 0.85694 0.832 0.000 0.000 0.016 0.100 0.052
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.4047 -0.62859 0.000 0.604 0.012 0.384 0.000 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 4 0.3993 0.97576 0.000 0.476 0.004 0.520 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "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 17288 rows and 266 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.995 0.998 0.4356 0.566 0.566
#> 3 3 0.955 0.934 0.971 0.0812 0.977 0.960
#> 4 4 0.689 0.742 0.879 0.3366 0.816 0.666
#> 5 5 0.668 0.657 0.847 0.1221 0.872 0.680
#> 6 6 0.646 0.600 0.792 0.0620 0.942 0.817
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
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.998 0.000 1.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.998 0.000 1.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.0000 1.000 1.000 0.000
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.0000 0.998 0.000 1.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.0000 0.998 0.000 1.000
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.0000 0.998 0.000 1.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.0000 0.998 0.000 1.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 1.000 1.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 1.000 1.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.0000 0.998 0.000 1.000
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.0000 1.000 1.000 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 2 0.0000 0.998 0.000 1.000
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0000 1.000 1.000 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 1.000 1.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 1.000 1.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0000 0.998 0.000 1.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.998 0.000 1.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.0000 0.998 0.000 1.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0000 0.998 0.000 1.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0000 0.998 0.000 1.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.998 0.000 1.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 1.000 1.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.998 0.000 1.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 1.000 1.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0000 0.998 0.000 1.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.0000 0.998 0.000 1.000
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 1.000 1.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.0000 0.998 0.000 1.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 1.000 1.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0000 0.998 0.000 1.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 1.000 1.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.0000 0.998 0.000 1.000
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 1.000 1.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 1.000 1.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.0000 0.998 0.000 1.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.0000 0.998 0.000 1.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0000 0.998 0.000 1.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 2 0.0000 0.998 0.000 1.000
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.0000 0.998 0.000 1.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 1.000 1.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.0000 0.998 0.000 1.000
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 1.000 1.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0000 0.998 0.000 1.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.0000 0.998 0.000 1.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0000 0.998 0.000 1.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.0000 0.998 0.000 1.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.0000 0.998 0.000 1.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0000 0.998 0.000 1.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.0000 0.998 0.000 1.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 1.000 1.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0000 0.998 0.000 1.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.0000 0.998 0.000 1.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 1.000 1.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 1.000 1.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.0000 0.998 0.000 1.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.0000 0.998 0.000 1.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 1.000 1.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0000 0.998 0.000 1.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0000 0.998 0.000 1.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0000 0.998 0.000 1.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0000 0.998 0.000 1.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.0000 0.998 0.000 1.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.998 0.000 1.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.0000 0.998 0.000 1.000
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.0000 0.998 0.000 1.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0000 0.998 0.000 1.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 2 0.9896 0.214 0.440 0.560
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0000 0.998 0.000 1.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 1.000 1.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.998 0.000 1.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 1.000 1.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 1.000 1.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.0000 0.998 0.000 1.000
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.0000 0.998 0.000 1.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.0000 0.998 0.000 1.000
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 1.000 1.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0000 0.998 0.000 1.000
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 2 0.0000 0.998 0.000 1.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0000 0.998 0.000 1.000
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 2 0.0000 0.998 0.000 1.000
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.0000 0.998 0.000 1.000
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0000 1.000 1.000 0.000
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.0000 0.998 0.000 1.000
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0000 0.998 0.000 1.000
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 1.000 1.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.0000 0.998 0.000 1.000
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.0000 0.998 0.000 1.000
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 2 0.0000 0.998 0.000 1.000
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.0000 0.998 0.000 1.000
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.0000 0.998 0.000 1.000
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0.0000 0.998 0.000 1.000
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 1.000 1.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.0000 0.998 0.000 1.000
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0000 1.000 1.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 1.000 1.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.0000 0.998 0.000 1.000
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0.0000 0.998 0.000 1.000
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 1.000 1.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.0000 0.998 0.000 1.000
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 1.000 1.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.0000 0.998 0.000 1.000
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.0000 0.998 0.000 1.000
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 1.000 1.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.998 0.000 1.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0000 1.000 1.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 2 0.0000 0.998 0.000 1.000
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.0000 0.998 0.000 1.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 1.000 1.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 2 0.0000 0.998 0.000 1.000
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.0000 0.998 0.000 1.000
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0.0000 0.998 0.000 1.000
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0000 1.000 1.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 1.000 1.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0000 1.000 1.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.0000 0.998 0.000 1.000
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.0000 0.998 0.000 1.000
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.0000 0.998 0.000 1.000
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.0000 0.998 0.000 1.000
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.0000 0.998 0.000 1.000
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.0000 0.998 0.000 1.000
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.0000 0.998 0.000 1.000
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 2 0.0000 0.998 0.000 1.000
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.0000 0.998 0.000 1.000
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0000 0.998 0.000 1.000
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.0000 0.998 0.000 1.000
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0000 0.998 0.000 1.000
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0000 0.998 0.000 1.000
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0.0000 0.998 0.000 1.000
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 1.000 1.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.0000 0.998 0.000 1.000
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 2 0.0000 0.998 0.000 1.000
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 1.000 1.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.0000 0.998 0.000 1.000
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.0000 0.998 0.000 1.000
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 1 0.0000 1.000 1.000 0.000
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.0000 0.998 0.000 1.000
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.998 0.000 1.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 1.000 1.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0000 0.998 0.000 1.000
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0000 1.000 1.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.0000 0.998 0.000 1.000
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.0000 0.998 0.000 1.000
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.0000 0.998 0.000 1.000
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.0000 0.998 0.000 1.000
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.0000 1.000 1.000 0.000
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0000 1.000 1.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.0000 0.998 0.000 1.000
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.0000 0.998 0.000 1.000
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0.0000 0.998 0.000 1.000
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0000 0.998 0.000 1.000
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 2 0.0672 0.990 0.008 0.992
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0000 1.000 1.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0000 0.998 0.000 1.000
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 1.000 1.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 1.000 1.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.0000 0.998 0.000 1.000
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0000 1.000 1.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.0000 0.998 0.000 1.000
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.0000 0.998 0.000 1.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0000 0.998 0.000 1.000
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.0000 0.998 0.000 1.000
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 1.000 1.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 1.000 1.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.0000 0.998 0.000 1.000
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0.0000 0.998 0.000 1.000
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0000 1.000 1.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 1.000 1.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 1.000 1.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0000 0.998 0.000 1.000
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 2 0.0000 0.998 0.000 1.000
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 1.000 1.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.0000 0.998 0.000 1.000
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0000 0.998 0.000 1.000
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0.0000 0.998 0.000 1.000
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 1.000 1.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 1.000 1.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0000 0.998 0.000 1.000
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.0000 0.998 0.000 1.000
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.0000 0.998 0.000 1.000
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0000 1.000 1.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.0000 0.998 0.000 1.000
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 1.000 1.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.0000 0.998 0.000 1.000
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0000 1.000 1.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.0000 0.998 0.000 1.000
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0000 0.998 0.000 1.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.0000 0.998 0.000 1.000
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.0000 0.998 0.000 1.000
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0000 0.998 0.000 1.000
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.998 0.000 1.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 1.000 1.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 1.000 1.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0000 0.998 0.000 1.000
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0000 1.000 1.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0000 0.998 0.000 1.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 1.000 1.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0000 0.998 0.000 1.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.0000 0.998 0.000 1.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.0000 0.998 0.000 1.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 1.000 1.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0000 0.998 0.000 1.000
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0000 0.998 0.000 1.000
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.998 0.000 1.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0000 0.998 0.000 1.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.0000 0.998 0.000 1.000
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.0000 0.998 0.000 1.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 1.000 1.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 1.000 1.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.0000 0.998 0.000 1.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.0000 0.998 0.000 1.000
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.0000 0.998 0.000 1.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.0000 0.998 0.000 1.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0000 1.000 1.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0000 0.998 0.000 1.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 1.000 1.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 1.000 1.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.0000 0.998 0.000 1.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.998 0.000 1.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.998 0.000 1.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 1.000 1.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.0000 0.998 0.000 1.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.0000 0.998 0.000 1.000
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 1.000 1.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0000 0.998 0.000 1.000
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0000 0.998 0.000 1.000
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 1.000 1.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 1.000 1.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.0000 0.998 0.000 1.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 1.000 1.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0000 0.998 0.000 1.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.0000 0.998 0.000 1.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0000 0.998 0.000 1.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 1.000 1.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0000 0.998 0.000 1.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0000 0.998 0.000 1.000
#> B3527517-E339-46AE-8437-65303C309015 2 0.0000 0.998 0.000 1.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0000 0.998 0.000 1.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0000 0.998 0.000 1.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.0000 0.998 0.000 1.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0000 0.998 0.000 1.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 1.000 1.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0000 0.998 0.000 1.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0000 0.998 0.000 1.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.0000 0.998 0.000 1.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.0000 0.998 0.000 1.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 1.000 1.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.0000 0.998 0.000 1.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.0000 0.998 0.000 1.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.998 0.000 1.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.0000 0.998 0.000 1.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 1.000 1.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0000 0.998 0.000 1.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.998 0.000 1.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 1.000 1.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0000 0.998 0.000 1.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 1.000 1.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0000 0.998 0.000 1.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 1.000 1.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.998 0.000 1.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 1.000 1.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 1.000 1.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.998 0.000 1.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0000 0.998 0.000 1.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 1.000 1.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.0000 0.998 0.000 1.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0000 0.998 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0237 0.960 0.000 0.996 0.004
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0237 0.960 0.000 0.996 0.004
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.2878 0.886 0.904 0.000 0.096
#> 3182DEA1-4239-4613-925A-7E6503766AD6 3 0.5591 0.747 0.000 0.304 0.696
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.4654 0.646 0.000 0.792 0.208
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.2356 0.890 0.000 0.928 0.072
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 2 0.0892 0.954 0.000 0.980 0.020
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.990 1.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.990 1.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 2 0.4346 0.700 0.000 0.816 0.184
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 1 0.5016 0.719 0.760 0.000 0.240
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.6267 0.534 0.000 0.452 0.548
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 1 0.0592 0.980 0.988 0.000 0.012
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.990 1.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.0000 0.990 1.000 0.000 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0237 0.960 0.000 0.996 0.004
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0000 0.960 0.000 1.000 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.2165 0.900 0.000 0.936 0.064
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0000 0.960 0.000 1.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0237 0.960 0.000 0.996 0.004
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0000 0.960 0.000 1.000 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.990 1.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0000 0.960 0.000 1.000 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.990 1.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.0237 0.960 0.000 0.996 0.004
#> 61130DEE-E267-49DF-8B41-7738A06EF738 2 0.0892 0.954 0.000 0.980 0.020
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0000 0.990 1.000 0.000 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.3482 0.805 0.000 0.872 0.128
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.990 1.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.0747 0.956 0.000 0.984 0.016
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.0000 0.990 1.000 0.000 0.000
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 2 0.0892 0.954 0.000 0.980 0.020
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0000 0.990 1.000 0.000 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 1 0.0000 0.990 1.000 0.000 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.4605 0.655 0.000 0.796 0.204
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.0892 0.954 0.000 0.980 0.020
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.0000 0.960 0.000 1.000 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 2 0.1129 0.954 0.004 0.976 0.020
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.0592 0.956 0.000 0.988 0.012
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.990 1.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 2 0.0892 0.954 0.000 0.980 0.020
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.0000 0.990 1.000 0.000 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0592 0.956 0.000 0.988 0.012
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.1964 0.910 0.000 0.944 0.056
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.0892 0.954 0.000 0.980 0.020
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 2 0.0000 0.960 0.000 1.000 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.4235 0.716 0.000 0.824 0.176
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.0424 0.958 0.000 0.992 0.008
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.0747 0.956 0.000 0.984 0.016
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.990 1.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0237 0.960 0.000 0.996 0.004
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.3482 0.805 0.000 0.872 0.128
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.0000 0.990 1.000 0.000 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 1 0.0000 0.990 1.000 0.000 0.000
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.0237 0.960 0.000 0.996 0.004
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 2 0.0892 0.954 0.000 0.980 0.020
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.990 1.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.0892 0.954 0.000 0.980 0.020
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.0000 0.960 0.000 1.000 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.0747 0.956 0.000 0.984 0.016
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.0592 0.958 0.000 0.988 0.012
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 2 0.0237 0.960 0.000 0.996 0.004
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0000 0.960 0.000 1.000 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.0892 0.954 0.000 0.980 0.020
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 2 0.2066 0.906 0.000 0.940 0.060
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0237 0.960 0.000 0.996 0.004
#> CF629C65-585D-476D-B081-3E6E0575FAE3 2 0.8395 -0.151 0.328 0.568 0.104
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0237 0.960 0.000 0.996 0.004
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.990 1.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0000 0.960 0.000 1.000 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.990 1.000 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.990 1.000 0.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 2 0.0424 0.958 0.000 0.992 0.008
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.0892 0.954 0.000 0.980 0.020
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.0892 0.954 0.000 0.980 0.020
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.0000 0.990 1.000 0.000 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.0424 0.958 0.000 0.992 0.008
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 2 0.0892 0.954 0.000 0.980 0.020
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.0237 0.960 0.000 0.996 0.004
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 2 0.0892 0.954 0.000 0.980 0.020
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.1529 0.929 0.000 0.960 0.040
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 1 0.0000 0.990 1.000 0.000 0.000
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 2 0.0237 0.960 0.000 0.996 0.004
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.0237 0.960 0.000 0.996 0.004
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0000 0.990 1.000 0.000 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.0424 0.959 0.000 0.992 0.008
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 2 0.1163 0.942 0.000 0.972 0.028
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 3 0.5016 0.742 0.000 0.240 0.760
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 2 0.0892 0.954 0.000 0.980 0.020
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 2 0.0892 0.954 0.000 0.980 0.020
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 2 0.0892 0.954 0.000 0.980 0.020
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 1 0.0000 0.990 1.000 0.000 0.000
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.0237 0.960 0.000 0.996 0.004
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0000 0.990 1.000 0.000 0.000
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 1 0.0000 0.990 1.000 0.000 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 2 0.0747 0.956 0.000 0.984 0.016
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 2 0.0892 0.954 0.000 0.980 0.020
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.0000 0.990 1.000 0.000 0.000
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.0237 0.960 0.000 0.996 0.004
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.0000 0.990 1.000 0.000 0.000
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 2 0.0892 0.954 0.000 0.980 0.020
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 2 0.0237 0.960 0.000 0.996 0.004
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.0000 0.990 1.000 0.000 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.0000 0.960 0.000 1.000 0.000
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.0000 0.990 1.000 0.000 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 3 0.6008 0.695 0.000 0.372 0.628
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 2 0.0000 0.960 0.000 1.000 0.000
#> BF6FA8CC-60C1-413A-B2C6-54CCACBC01D6 1 0.0000 0.990 1.000 0.000 0.000
#> E0594CFE-F7B6-4546-B130-30DF6A514B1F 2 0.0892 0.954 0.000 0.980 0.020
#> E769E41D-5949-42C5-9594-E563C05ACE52 2 0.0237 0.960 0.000 0.996 0.004
#> 01373725-5D3C-4D9C-AABC-911D53E62BCD 2 0.0892 0.954 0.000 0.980 0.020
#> 1F39DADD-3655-474E-BA4C-A5BD32C97A8B 1 0.0000 0.990 1.000 0.000 0.000
#> AF573EC8-E4EE-4B8F-8199-9817B9FAC67D 1 0.0000 0.990 1.000 0.000 0.000
#> 3F022CBC-41C8-4387-A6FB-124C4BCD1AD9 1 0.0000 0.990 1.000 0.000 0.000
#> 1CC32ACE-826B-494B-8B89-5BD92327A74D 2 0.0424 0.959 0.000 0.992 0.008
#> 22B0BD3B-EE08-4BC7-90B2-01C372A56BA2 2 0.0237 0.960 0.000 0.996 0.004
#> 0F3DE9EF-19CC-4D14-9A42-1435DB537F94 2 0.0892 0.954 0.000 0.980 0.020
#> 87F8A33F-FBC3-469E-862B-84472F796358 2 0.0892 0.949 0.000 0.980 0.020
#> C9F2FA0D-1A9F-40B4-BD9B-CAF1B3F3D5A7 2 0.4974 0.576 0.000 0.764 0.236
#> ACFC9F59-78FF-4453-B25F-8834D0EAB54A 2 0.0237 0.960 0.000 0.996 0.004
#> B7AC7D5B-14E9-45A7-93B7-226EE508544A 2 0.0237 0.960 0.000 0.996 0.004
#> 4491BF17-B168-4E96-8E09-EF1AEC9F5E9D 2 0.0892 0.954 0.000 0.980 0.020
#> 557A0811-A3FE-4CF4-A24D-FBB77E7F9139 2 0.0237 0.960 0.000 0.996 0.004
#> 6F9C955C-6816-4353-922A-8035B50FACC6 2 0.0237 0.960 0.000 0.996 0.004
#> 3E89FB1C-4A7D-43C7-823C-04E3716A7935 2 0.0892 0.954 0.000 0.980 0.020
#> 12ABE483-66EF-4237-94C4-0199FAE23FA8 2 0.0237 0.960 0.000 0.996 0.004
#> 7535F262-9B96-44F6-988C-4C9EBB3FFCA9 2 0.0237 0.960 0.000 0.996 0.004
#> 65C9D28E-303B-40E5-84F0-2507F5457374 2 0.0892 0.954 0.000 0.980 0.020
#> FD445384-6BA9-4297-9D9C-12ABA7D645C7 1 0.0000 0.990 1.000 0.000 0.000
#> 30D5E255-2AD3-44F3-8983-1B80E4FD3E2D 2 0.0237 0.960 0.000 0.996 0.004
#> 3E88EC60-B4A8-4259-8BC8-A234800F6955 2 0.0237 0.960 0.000 0.996 0.004
#> ACD73CE8-AFC5-47A0-9383-3CB97F018953 1 0.0000 0.990 1.000 0.000 0.000
#> 1AFDC2EA-26A8-44E2-8BCB-F34F7B66F8C8 2 0.0892 0.954 0.000 0.980 0.020
#> 9E327BC8-1D20-4AD8-83F7-FB2D13BCA5D0 2 0.0237 0.960 0.000 0.996 0.004
#> 85A86B91-4F24-4E77-AE2D-520F8E205EFC 3 0.5733 0.119 0.324 0.000 0.676
#> 74868C37-8143-4306-81CA-E45759D146CD 2 0.0892 0.949 0.000 0.980 0.020
#> 69AEA0DB-E335-48A0-A398-4FB0D581182A 2 0.0000 0.960 0.000 1.000 0.000
#> AE6F8B89-85C2-42B7-8D05-AFDDD4FEFD16 1 0.0000 0.990 1.000 0.000 0.000
#> A8A6F09C-9812-4457-9A4B-AD41F97B41A3 2 0.0237 0.960 0.000 0.996 0.004
#> 1A09BC4D-EF29-42DD-BB04-A3C264A3032D 1 0.0000 0.990 1.000 0.000 0.000
#> E0961A30-A62C-4235-9CF0-A1776827A996 2 0.0424 0.959 0.000 0.992 0.008
#> 134D2D90-7B08-4F20-8A3A-C77643FB208F 2 0.0000 0.960 0.000 1.000 0.000
#> A77C2DFF-93CF-4CB5-B3C1-81133D7F1A0F 2 0.0892 0.954 0.000 0.980 0.020
#> EA2DC457-9C74-4B9C-B3FA-5E72199B24A7 2 0.0892 0.954 0.000 0.980 0.020
#> FF34117B-5EE4-4C96-A8A2-2CE6A654CBE5 1 0.6260 0.288 0.552 0.000 0.448
#> 75F7B5E2-6559-4B48-A2A4-287C35C559CC 1 0.0000 0.990 1.000 0.000 0.000
#> 903BF591-B0AF-4BEE-B625-60B673070344 2 0.0237 0.960 0.000 0.996 0.004
#> 9DE1B790-C63C-41C4-9477-CE52A8119C67 2 0.3412 0.812 0.000 0.876 0.124
#> 9A28F80A-85F8-40E2-A32B-230EF93B2FA0 2 0.0237 0.960 0.000 0.996 0.004
#> 0AA2BDBB-8720-409A-AA72-1F4AA26E7CD8 2 0.0237 0.960 0.000 0.996 0.004
#> 5AD49F16-E974-4E5D-B1B6-073ECB73A01D 2 0.0892 0.954 0.000 0.980 0.020
#> CB0F961C-527D-4A48-9408-286B26BD9532 1 0.0000 0.990 1.000 0.000 0.000
#> 46FF25B6-D01D-4CA7-80B7-CEC2998C34E1 2 0.0237 0.960 0.000 0.996 0.004
#> 487CADE1-D699-4A6C-817A-B9A0AB940C61 1 0.0000 0.990 1.000 0.000 0.000
#> 4FF6F2D8-F869-4735-A4D1-1A8423153FBC 1 0.0000 0.990 1.000 0.000 0.000
#> 6005494F-5D3D-43A3-B3E8-8C91955B2A98 2 0.0237 0.960 0.000 0.996 0.004
#> CF10D584-CE32-45A4-A932-E9D5AF12A6A0 1 0.0000 0.990 1.000 0.000 0.000
#> E15CE4AB-5646-49C8-9CD6-938457036BB0 2 0.4346 0.700 0.000 0.816 0.184
#> 31E28D0B-0E69-4330-82ED-4F1827DC97EA 2 0.0000 0.960 0.000 1.000 0.000
#> DBACD3C3-CCB5-4478-BA78-85A0C847CA66 2 0.0237 0.960 0.000 0.996 0.004
#> 5A07041C-65EB-4FCD-8940-E90B905061B5 2 0.6244 -0.269 0.000 0.560 0.440
#> 0EA7C916-FA47-489B-BC98-4D9E7D197628 1 0.0000 0.990 1.000 0.000 0.000
#> 30967F75-8499-47FF-ADA4-4DC566013F7B 1 0.0000 0.990 1.000 0.000 0.000
#> D2E528FF-AEA2-48D7-A60A-4C3E71EA9073 2 0.0237 0.960 0.000 0.996 0.004
#> 22735DCD-215E-48BC-BF44-32BD66F06E39 2 0.0892 0.954 0.000 0.980 0.020
#> BC2C3248-7FC6-48BC-96C1-45EA573DE7DC 1 0.0000 0.990 1.000 0.000 0.000
#> E72CEBCB-D686-4B12-BCBA-EC8F964330A2 1 0.0000 0.990 1.000 0.000 0.000
#> 23C937BB-BA20-4440-B680-914229CC3ADF 1 0.0000 0.990 1.000 0.000 0.000
#> 947E99C7-F402-4F1A-A6E9-81BCAAED135A 2 0.0237 0.960 0.000 0.996 0.004
#> 02475D11-FC81-4E88-944E-173C32DC3FE7 2 0.1315 0.950 0.008 0.972 0.020
#> F972A9AA-9842-4343-A533-A795E65581CE 1 0.0000 0.990 1.000 0.000 0.000
#> 05043AAF-3095-4C61-B5C1-EE9AA9082C75 2 0.0892 0.954 0.000 0.980 0.020
#> CECF7967-862E-428C-BB42-FEF553FDB3AA 2 0.0237 0.960 0.000 0.996 0.004
#> FB0B9483-6302-48C7-BE5B-DA667E00AE2D 2 0.0892 0.954 0.000 0.980 0.020
#> 78700FBA-1487-4754-9B30-18837BF7E9FB 1 0.0000 0.990 1.000 0.000 0.000
#> 2166F56D-54CE-4F1B-8F07-A4E13E4489E9 1 0.0000 0.990 1.000 0.000 0.000
#> 7CD0942E-E39A-43A7-8BAC-F25967864901 2 0.0237 0.960 0.000 0.996 0.004
#> 3B00BA2B-7F7D-4825-8F8D-90F04A5DE687 2 0.3482 0.806 0.000 0.872 0.128
#> 7465B01D-C05E-4FE0-A9FE-182920EDC489 2 0.0892 0.954 0.000 0.980 0.020
#> 88C31A99-F96E-4FC8-8B3D-C1AAA05062D9 1 0.0000 0.990 1.000 0.000 0.000
#> 53575575-3303-4F8F-B6A8-B42131CFB4AC 2 0.0424 0.958 0.000 0.992 0.008
#> CC8017C7-4128-48DA-8E43-503F63158D85 1 0.0000 0.990 1.000 0.000 0.000
#> 88449D2A-2A25-41A4-B91D-C99B58F8ECD9 2 0.0237 0.960 0.000 0.996 0.004
#> 46C7DDE5-A2B5-494F-96AE-0B6E2D51B003 1 0.0000 0.990 1.000 0.000 0.000
#> 42551D05-5EE5-4F91-93A8-32DA695D9DFA 2 0.0237 0.960 0.000 0.996 0.004
#> 0772DA48-3A36-422D-B166-CA1691B782C3 2 0.0000 0.960 0.000 1.000 0.000
#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.3192 0.831 0.000 0.888 0.112
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.0747 0.953 0.000 0.984 0.016
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0237 0.960 0.000 0.996 0.004
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0000 0.960 0.000 1.000 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.990 1.000 0.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.0000 0.990 1.000 0.000 0.000
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0592 0.956 0.000 0.988 0.012
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0000 0.990 1.000 0.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.0892 0.954 0.000 0.980 0.020
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 0.990 1.000 0.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0000 0.960 0.000 1.000 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 2 0.0892 0.954 0.000 0.980 0.020
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 2 0.0892 0.954 0.000 0.980 0.020
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.990 1.000 0.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0424 0.958 0.000 0.992 0.008
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0237 0.960 0.000 0.996 0.004
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0237 0.960 0.000 0.996 0.004
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0424 0.959 0.000 0.992 0.008
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 2 0.0237 0.960 0.000 0.996 0.004
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.0237 0.960 0.000 0.996 0.004
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.990 1.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.0000 0.990 1.000 0.000 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.0892 0.954 0.000 0.980 0.020
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.3752 0.778 0.000 0.856 0.144
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 2 0.0237 0.960 0.000 0.996 0.004
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.0892 0.954 0.000 0.980 0.020
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 1 0.0000 0.990 1.000 0.000 0.000
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0237 0.960 0.000 0.996 0.004
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.990 1.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.0000 0.990 1.000 0.000 0.000
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.0424 0.959 0.000 0.992 0.008
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0000 0.960 0.000 1.000 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0237 0.960 0.000 0.996 0.004
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.990 1.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.0747 0.956 0.000 0.984 0.016
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.5529 0.392 0.000 0.704 0.296
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.0000 0.990 1.000 0.000 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0424 0.958 0.000 0.992 0.008
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0237 0.960 0.000 0.996 0.004
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.990 1.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.990 1.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 2 0.0592 0.958 0.000 0.988 0.012
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.990 1.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0237 0.960 0.000 0.996 0.004
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 2 0.0892 0.954 0.000 0.980 0.020
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.0892 0.954 0.000 0.980 0.020
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.990 1.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0237 0.960 0.000 0.996 0.004
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0237 0.960 0.000 0.996 0.004
#> B3527517-E339-46AE-8437-65303C309015 2 0.0892 0.954 0.000 0.980 0.020
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0237 0.960 0.000 0.996 0.004
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0000 0.960 0.000 1.000 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.0892 0.954 0.000 0.980 0.020
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0424 0.958 0.000 0.992 0.008
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.0000 0.990 1.000 0.000 0.000
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0237 0.960 0.000 0.996 0.004
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0237 0.960 0.000 0.996 0.004
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 2 0.0892 0.954 0.000 0.980 0.020
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 2 0.0892 0.954 0.000 0.980 0.020
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.990 1.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 2 0.0892 0.954 0.000 0.980 0.020
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.1529 0.929 0.000 0.960 0.040
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0000 0.960 0.000 1.000 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.3482 0.805 0.000 0.872 0.128
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.990 1.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0237 0.960 0.000 0.996 0.004
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0237 0.960 0.000 0.996 0.004
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.0000 0.990 1.000 0.000 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.0892 0.954 0.000 0.980 0.020
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.990 1.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0237 0.960 0.000 0.996 0.004
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.990 1.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0237 0.960 0.000 0.996 0.004
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.990 1.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.0000 0.990 1.000 0.000 0.000
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0237 0.960 0.000 0.996 0.004
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0424 0.959 0.000 0.992 0.008
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.990 1.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.1643 0.925 0.000 0.956 0.044
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0237 0.960 0.000 0.996 0.004
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0000 0.8695 0.000 1.000 0.000 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0000 0.8695 0.000 1.000 0.000 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.4955 0.0933 0.556 0.000 0.000 0.444
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.4866 0.3440 0.000 0.596 0.000 0.404
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 2 0.5308 0.5542 0.000 0.684 0.036 0.280
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 2 0.4959 0.6399 0.000 0.752 0.052 0.196
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.4008 0.8328 0.000 0.244 0.756 0.000
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.4070 0.3849 0.000 0.044 0.824 0.132
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 4 0.4560 0.5897 0.004 0.000 0.296 0.700
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.4661 -0.2441 0.000 0.000 0.652 0.348
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 4 0.6465 0.6006 0.080 0.000 0.364 0.556
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 1 0.3837 0.6556 0.776 0.000 0.224 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0188 0.8694 0.000 0.996 0.004 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0188 0.8694 0.000 0.996 0.004 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 2 0.7279 -0.4335 0.000 0.444 0.408 0.148
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0000 0.8695 0.000 1.000 0.000 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.1302 0.8481 0.000 0.956 0.000 0.044
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0188 0.8694 0.000 0.996 0.004 0.000
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#> 30346897-EC77-4153-88A2-D14593C8B741 2 0.4959 0.6407 0.000 0.752 0.052 0.196
#> 0F00E267-C748-4A71-8B36-03C410641D88 2 0.2197 0.8254 0.000 0.916 0.004 0.080
#> 4034703A-4DA9-4DDA-9CA9-E80FFE9CCDE6 2 0.0188 0.8686 0.000 0.996 0.000 0.004
#> 393C8A41-CF45-4EA8-AFE3-25A08AB7692A 2 0.0188 0.8694 0.000 0.996 0.004 0.000
#> 3354212D-A07C-435C-8B0C-9A7BAAB624B5 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> 57E30D4E-ABF7-47DD-92BE-40CE215076B0 1 0.2908 0.8273 0.896 0.000 0.064 0.040
#> 202B4C76-C840-4DB8-953F-AC75A4156FDD 2 0.0592 0.8644 0.000 0.984 0.000 0.016
#> 93A0137B-1F4C-44EE-B959-2AD0CD2DF8B6 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> C9794DB6-6E8C-4AFD-80EE-61D672A4F6E9 2 0.4985 -0.2657 0.000 0.532 0.468 0.000
#> AE4BFE63-F0C0-4624-AD97-4F7FF13E2384 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> DCF87F27-2B54-42D9-8D28-5DFEE76E2F5B 2 0.0188 0.8694 0.000 0.996 0.004 0.000
#> 2451D405-39FD-4812-958C-23462B66F1F1 3 0.2921 0.7302 0.000 0.140 0.860 0.000
#> E27F5D33-3F68-4CA8-8757-A387C6EAD060 3 0.4277 0.8377 0.000 0.280 0.720 0.000
#> 8BA9928A-5B93-477F-B4A2-D031B714D9AC 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> 0FAACFF6-B50C-4BED-9824-B7270654F28D 2 0.0592 0.8663 0.000 0.984 0.000 0.016
#> 3366CC3C-2BBA-4CA7-848E-4E16AA70AE7A 2 0.0188 0.8686 0.000 0.996 0.000 0.004
#> 66237056-CA9A-4C90-AF0E-1621FEB71578 2 0.0000 0.8695 0.000 1.000 0.000 0.000
#> C480F1FB-3100-436C-B0F5-DED63B7A580E 2 0.0336 0.8680 0.000 0.992 0.008 0.000
#> A327DE0D-D945-4B42-9B41-A7302CF796EE 3 0.5277 0.4960 0.000 0.460 0.532 0.008
#> E8A6871D-67FB-4306-9454-F5E7CDBA399A 2 0.0336 0.8680 0.000 0.992 0.008 0.000
#> E9A7485B-82B6-4BD2-AFBB-DD0A82D6CDE2 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> 93B382E4-9C9A-43F5-BD3B-502CC260B886 1 0.3907 0.6423 0.768 0.000 0.232 0.000
#> A2792419-8E16-45FE-A524-17851F34AB9B 2 0.3837 0.5852 0.000 0.776 0.224 0.000
#> 4DED1201-F25C-4F82-BABF-965EFAD7A8E5 2 0.1940 0.8251 0.000 0.924 0.000 0.076
#> F1ACB2DD-E948-4F88-A249-F1BD1977D667 3 0.4916 0.5993 0.000 0.424 0.576 0.000
#> 6CDBA203-8952-421D-A6BF-75652D9F3339 2 0.4981 -0.2464 0.000 0.536 0.464 0.000
#> 2D6C5AA7-3B33-48D7-AE0C-77A16B749D13 4 0.7486 0.6018 0.228 0.000 0.272 0.500
#> 3F6B6D95-0720-42A0-AEB3-89FECAE7616A 2 0.0000 0.8695 0.000 1.000 0.000 0.000
#> DED8ACF3-BBD8-46C9-85C9-A9C8F2E2BC0B 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> 77069279-5A6F-42C0-9AA5-8C939591DFB5 1 0.2048 0.8596 0.928 0.000 0.064 0.008
#> B2D4FCF3-FDF9-41C8-880A-6732CF6222AF 2 0.2216 0.7966 0.000 0.908 0.092 0.000
#> 1CD71A4C-1E49-48EF-AA72-CB3C26B4C087 2 0.0188 0.8694 0.000 0.996 0.004 0.000
#> C364E621-F85C-4B7F-842F-210B8D4DFE3A 2 0.0000 0.8695 0.000 1.000 0.000 0.000
#> 11F1B8CA-07C1-47D2-A3C6-032FFA6A4A64 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> 153BF804-6DC8-496B-987A-4021A2512211 2 0.3873 0.5780 0.000 0.772 0.228 0.000
#> 5B5029C9-40F5-40D7-A36A-367022AD6A42 2 0.3801 0.6930 0.000 0.780 0.000 0.220
#> 193CCBE6-104F-49B4-BDB2-C82EE36FDAAD 1 0.3649 0.6868 0.796 0.000 0.204 0.000
#> E5D45E53-FCF3-4F01-9B78-6CB1ED0CFE40 2 0.0592 0.8644 0.000 0.984 0.000 0.016
#> 5546A779-21DB-49F9-8C0D-A1E420088084 2 0.0336 0.8674 0.000 0.992 0.000 0.008
#> E14825E0-0DC7-44C2-B265-F54672356838 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> 8C8C09B9-EC83-45EC-BC4C-0BA92DE60ACB 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> B388CA82-5BF7-4BDD-8821-4EC0B213121F 3 0.4250 0.8392 0.000 0.276 0.724 0.000
#> A26025AC-9F71-4C07-9135-83593193BBB2 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.0188 0.8694 0.000 0.996 0.004 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.4605 0.7774 0.000 0.336 0.664 0.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.4977 -0.2341 0.000 0.540 0.460 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0469 0.8662 0.000 0.988 0.000 0.012
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.0188 0.8694 0.000 0.996 0.004 0.000
#> B3527517-E339-46AE-8437-65303C309015 3 0.4277 0.8377 0.000 0.280 0.720 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0817 0.8607 0.000 0.976 0.000 0.024
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.0336 0.8682 0.000 0.992 0.008 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.4972 -0.2170 0.000 0.544 0.456 0.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.1637 0.8372 0.000 0.940 0.000 0.060
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 1 0.7380 -0.0210 0.512 0.000 0.200 0.288
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0188 0.8694 0.000 0.996 0.004 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.0188 0.8694 0.000 0.996 0.004 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.3801 0.8176 0.000 0.220 0.780 0.000
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.4304 0.8357 0.000 0.284 0.716 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.4250 0.8392 0.000 0.276 0.724 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.1867 0.8281 0.000 0.928 0.000 0.072
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0188 0.8694 0.000 0.996 0.004 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.3074 0.7502 0.000 0.848 0.000 0.152
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.0336 0.8674 0.000 0.992 0.000 0.008
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0000 0.8695 0.000 1.000 0.000 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 1 0.3528 0.7062 0.808 0.000 0.192 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.4948 -0.1520 0.000 0.560 0.440 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0188 0.8686 0.000 0.996 0.000 0.004
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0000 0.8695 0.000 1.000 0.000 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 1 0.7530 -0.2844 0.436 0.000 0.188 0.376
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0000 0.8695 0.000 1.000 0.000 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.0336 0.8680 0.000 0.992 0.008 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.0000 0.9271 1.000 0.000 0.000 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.1867 0.8281 0.000 0.928 0.000 0.072
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0592 0.8646 0.000 0.984 0.000 0.016
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.0451 0.8322 0.000 0.988 0.004 0.008 0.000
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.0566 0.8312 0.000 0.984 0.004 0.012 0.000
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.4595 0.5845 0.740 0.000 0.000 0.088 0.172
#> 3182DEA1-4239-4613-925A-7E6503766AD6 4 0.5042 0.5960 0.000 0.460 0.032 0.508 0.000
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.6461 0.2135 0.000 0.152 0.496 0.344 0.008
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.5791 0.4517 0.000 0.140 0.600 0.260 0.000
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.3375 0.7041 0.000 0.072 0.860 0.020 0.048
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0404 0.8565 0.988 0.000 0.000 0.000 0.012
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 5 0.4235 0.4910 0.424 0.000 0.000 0.000 0.576
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.2228 0.7070 0.000 0.008 0.916 0.056 0.020
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 5 0.1915 0.6331 0.000 0.000 0.040 0.032 0.928
#> 844E4CCD-D30C-416F-A086-8923711A4E25 3 0.5229 0.5503 0.000 0.004 0.688 0.108 0.200
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 5 0.2074 0.6279 0.000 0.000 0.044 0.036 0.920
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0703 0.8506 0.976 0.000 0.000 0.000 0.024
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 5 0.3109 0.7438 0.200 0.000 0.000 0.000 0.800
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.0324 0.8332 0.000 0.992 0.004 0.004 0.000
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.0671 0.8303 0.000 0.980 0.004 0.016 0.000
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.4121 0.6861 0.000 0.112 0.788 0.100 0.000
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.0451 0.8324 0.000 0.988 0.004 0.008 0.000
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.0510 0.8325 0.000 0.984 0.000 0.016 0.000
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.0898 0.8275 0.000 0.972 0.008 0.020 0.000
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0000 0.8606 1.000 0.000 0.000 0.000 0.000
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.0671 0.8303 0.000 0.980 0.004 0.016 0.000
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0000 0.8606 1.000 0.000 0.000 0.000 0.000
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.2928 0.7357 0.000 0.872 0.064 0.064 0.000
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.2564 0.7280 0.000 0.052 0.904 0.020 0.024
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0162 0.8595 0.996 0.000 0.000 0.000 0.004
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.1638 0.8013 0.000 0.932 0.004 0.064 0.000
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0000 0.8606 1.000 0.000 0.000 0.000 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.1310 0.8207 0.000 0.956 0.020 0.024 0.000
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.1300 0.8412 0.956 0.000 0.000 0.016 0.028
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.2664 0.7150 0.000 0.092 0.884 0.020 0.004
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0162 0.8596 0.996 0.000 0.000 0.000 0.004
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 5 0.4415 0.5575 0.388 0.000 0.000 0.008 0.604
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.4824 -0.1829 0.000 0.596 0.028 0.376 0.000
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.4021 0.5876 0.000 0.764 0.200 0.036 0.000
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.1579 0.8119 0.000 0.944 0.032 0.024 0.000
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 3 0.5157 0.2414 0.000 0.000 0.520 0.040 0.440
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.5028 0.1596 0.000 0.668 0.072 0.260 0.000
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.8606 1.000 0.000 0.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.1547 0.7226 0.000 0.016 0.948 0.032 0.004
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 1 0.4256 0.0120 0.564 0.000 0.000 0.000 0.436
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.0771 0.8304 0.000 0.976 0.004 0.020 0.000
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.1502 0.8100 0.000 0.940 0.004 0.056 0.000
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.3573 0.6661 0.000 0.812 0.152 0.036 0.000
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.5095 0.1261 0.000 0.400 0.560 0.040 0.000
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.2077 0.7824 0.000 0.908 0.008 0.084 0.000
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.1251 0.8214 0.000 0.956 0.008 0.036 0.000
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.1117 0.8233 0.000 0.964 0.016 0.020 0.000
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.8606 1.000 0.000 0.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.0798 0.8286 0.000 0.976 0.016 0.008 0.000
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.1544 0.7990 0.000 0.932 0.000 0.068 0.000
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 1 0.4306 -0.2512 0.508 0.000 0.000 0.000 0.492
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 5 0.4009 0.6631 0.312 0.000 0.000 0.004 0.684
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.5447 -0.2189 0.000 0.536 0.400 0.064 0.000
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 3 0.4920 0.1790 0.000 0.384 0.584 0.032 0.000
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0000 0.8606 1.000 0.000 0.000 0.000 0.000
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.3309 0.6977 0.000 0.836 0.128 0.036 0.000
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 2 0.3192 0.6876 0.000 0.848 0.112 0.040 0.000
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.2291 0.7865 0.000 0.908 0.056 0.036 0.000
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.1582 0.8140 0.000 0.944 0.028 0.028 0.000
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.5127 0.5626 0.000 0.184 0.692 0.124 0.000
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.0609 0.8345 0.000 0.980 0.000 0.020 0.000
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.4119 0.5648 0.000 0.752 0.212 0.036 0.000
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 4 0.5044 0.6081 0.000 0.464 0.032 0.504 0.000
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0324 0.8331 0.000 0.992 0.004 0.004 0.000
#> CF629C65-585D-476D-B081-3E6E0575FAE3 1 0.6752 0.2301 0.608 0.176 0.124 0.092 0.000
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.0566 0.8318 0.000 0.984 0.004 0.012 0.000
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0000 0.8606 1.000 0.000 0.000 0.000 0.000
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.0566 0.8314 0.000 0.984 0.004 0.012 0.000
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0000 0.8606 1.000 0.000 0.000 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0000 0.8606 1.000 0.000 0.000 0.000 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.4551 0.6644 0.000 0.104 0.780 0.096 0.020
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.4677 0.3780 0.000 0.664 0.300 0.036 0.000
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.2491 0.7744 0.000 0.896 0.068 0.036 0.000
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#> C80E6D4B-AF21-42F0-8E20-6F7D2E99C062 2 0.2359 0.7750 0.000 0.904 0.060 0.036 0.000
#> 5AE5D819-A6B1-4761-B7F9-8FFD3C520F31 3 0.2570 0.7320 0.000 0.084 0.888 0.028 0.000
#> CAE8097F-A139-4C6E-9E30-35080475FF34 2 0.4820 0.3059 0.000 0.632 0.332 0.036 0.000
#> 539C8DE3-6152-4671-B96F-ED6DC6DBD22B 1 0.0000 0.8606 1.000 0.000 0.000 0.000 0.000
#> 5D28A8E0-4ECF-43A4-890A-BE968B9A8CB2 2 0.0451 0.8319 0.000 0.988 0.004 0.008 0.000
#> 97A80AF8-365E-4756-A2B0-AEB1D8F5F33E 2 0.3110 0.7136 0.000 0.860 0.080 0.060 0.000
#> B3527517-E339-46AE-8437-65303C309015 3 0.2069 0.7321 0.000 0.076 0.912 0.012 0.000
#> 523E2183-AA20-4749-BD7E-69CD620DD6A3 2 0.0290 0.8326 0.000 0.992 0.000 0.008 0.000
#> E553FB92-F181-47B3-9F3D-11DB51DFA3A4 2 0.3977 0.5279 0.000 0.764 0.204 0.032 0.000
#> FFE0C4B1-8EEC-484A-AB87-3401B71BD081 2 0.4475 0.4346 0.000 0.692 0.276 0.032 0.000
#> 73D6CA4B-9A9E-4E52-96C8-AE7F0CC8B276 2 0.0865 0.8295 0.000 0.972 0.004 0.024 0.000
#> 485A8107-DF9A-4BC6-8A72-07FBA93F10F2 5 0.2929 0.7483 0.152 0.000 0.000 0.008 0.840
#> 690823D9-B9AA-40EF-8302-4AD88BF89D1C 2 0.0566 0.8314 0.000 0.984 0.004 0.012 0.000
#> B4E02660-562F-4EAC-8472-CBBD8A577688 2 0.1117 0.8233 0.000 0.964 0.016 0.020 0.000
#> F82D5A60-90F9-4FF4-971E-73F7535FE65A 3 0.2897 0.7168 0.000 0.052 0.888 0.020 0.040
#> C48401F7-2D56-4C6F-9896-C5435D1B44BF 3 0.4184 0.4060 0.000 0.284 0.700 0.016 0.000
#> 94FC8991-182B-4B00-9A06-A00E8D3BDCFA 1 0.0000 0.8606 1.000 0.000 0.000 0.000 0.000
#> FF00E80A-046D-4233-835E-CDF93403EA43 3 0.1670 0.7376 0.000 0.052 0.936 0.012 0.000
#> C47A53F6-6479-4AD3-9D18-E4A70BE5F1DC 2 0.1628 0.8108 0.000 0.936 0.008 0.056 0.000
#> 3487AE2D-AB1D-4DEF-AC4B-4B0FCAF8D899 2 0.0566 0.8314 0.000 0.984 0.004 0.012 0.000
#> 479CD9BB-ECD7-41D5-B1E4-41132FF7FC95 2 0.1908 0.7823 0.000 0.908 0.000 0.092 0.000
#> 048ADC6E-8C7E-4875-ACEE-E4787203C078 1 0.2612 0.7672 0.868 0.000 0.000 0.008 0.124
#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 2 0.4955 0.2380 0.000 0.680 0.072 0.248 0.000
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0290 0.8326 0.000 0.992 0.000 0.008 0.000
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 5 0.3636 0.7158 0.272 0.000 0.000 0.000 0.728
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.4269 0.5275 0.000 0.732 0.232 0.036 0.000
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.8606 1.000 0.000 0.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.0290 0.8326 0.000 0.992 0.000 0.008 0.000
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.3636 0.5114 0.728 0.000 0.000 0.000 0.272
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0324 0.8334 0.000 0.992 0.004 0.004 0.000
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.3318 0.6813 0.800 0.000 0.000 0.008 0.192
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 5 0.2519 0.7379 0.100 0.000 0.000 0.016 0.884
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.0671 0.8339 0.000 0.980 0.004 0.016 0.000
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.1310 0.8208 0.000 0.956 0.024 0.020 0.000
#> 735D1DE3-D781-4F89-A395-09974057BBB7 1 0.4489 0.0583 0.572 0.000 0.000 0.008 0.420
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.1430 0.8152 0.000 0.944 0.004 0.052 0.000
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.0404 0.8334 0.000 0.988 0.000 0.012 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 80D0AF10-1C61-4B67-90C1-7DBF1EF23672 2 0.1668 0.7873 0.000 0.928 0.004 0.008 0.000 0.060
#> 87117BE1-D328-4972-85DA-6672412D8860 2 0.1958 0.7739 0.000 0.896 0.004 0.000 0.000 0.100
#> F904C5B6-70BD-4604-8254-79BE23B152DA 1 0.6331 0.3560 0.584 0.000 0.000 0.128 0.132 0.156
#> 3182DEA1-4239-4613-925A-7E6503766AD6 2 0.5534 0.1868 0.000 0.564 0.036 0.068 0.000 0.332
#> 55E78EA2-2D9B-481F-8CAB-D36A33088EAE 3 0.6062 0.3795 0.000 0.068 0.596 0.088 0.008 0.240
#> 86F94264-A6DD-4A97-9191-036F066DD0EF 3 0.5410 0.4682 0.000 0.072 0.668 0.060 0.004 0.196
#> 09D25417-23B7-4D88-A0EA-F307985FBBBC 3 0.3360 0.5318 0.000 0.016 0.804 0.168 0.004 0.008
#> C797F12C-40D3-4DB5-B9EF-A6821BBDE4F0 1 0.0260 0.8681 0.992 0.000 0.000 0.000 0.008 0.000
#> 80275DB0-A226-4B6B-A08F-4ADBEEE1DB01 5 0.3163 0.7417 0.232 0.000 0.000 0.004 0.764 0.000
#> 27FB653A-9E07-44AD-952E-9E4DE4AB5891 3 0.3453 0.6241 0.000 0.012 0.824 0.100 0.000 0.064
#> 1A5DB9FC-2ABD-4E1B-B5EF-B1CF5E5F3872 5 0.3843 -0.1918 0.000 0.000 0.000 0.452 0.548 0.000
#> 844E4CCD-D30C-416F-A086-8923711A4E25 4 0.5876 0.5090 0.000 0.000 0.316 0.536 0.120 0.028
#> EF18318D-3D25-4D65-803A-ED6E62871E7E 5 0.3756 -0.0855 0.000 0.000 0.000 0.400 0.600 0.000
#> 1ACB1BE0-61F6-4243-BBEC-E26A1CF90CA8 1 0.0777 0.8578 0.972 0.000 0.000 0.004 0.024 0.000
#> 8EF0039B-D758-46AB-BAF7-6A062C7C56BA 5 0.2020 0.6883 0.096 0.000 0.000 0.008 0.896 0.000
#> 22F4C9D9-663B-4C91-9692-E035A2640BEC 2 0.1219 0.7968 0.000 0.948 0.000 0.004 0.000 0.048
#> FA1A0BCE-EE0F-4178-B963-62550E344B14 2 0.2216 0.7907 0.000 0.908 0.016 0.024 0.000 0.052
#> 0B6D0C4E-5AE3-4707-A9FC-12A108E6EC2A 3 0.4132 0.5478 0.000 0.056 0.772 0.028 0.000 0.144
#> 06FD3123-2AEB-4911-AC4E-E0E64FD5DB52 2 0.1075 0.7887 0.000 0.952 0.000 0.000 0.000 0.048
#> 235A4492-FF80-4AA5-BC71-DFF65E1C7411 2 0.1501 0.7843 0.000 0.924 0.000 0.000 0.000 0.076
#> A192C6C0-1443-4493-AFAC-1EE710628ADB 2 0.1644 0.7774 0.000 0.920 0.000 0.004 0.000 0.076
#> 6FC5B56B-711B-4174-9B06-4E843124AAB6 1 0.0291 0.8674 0.992 0.000 0.000 0.004 0.000 0.004
#> 7A813F60-A41E-4552-990E-F22287654C1D 2 0.1320 0.7933 0.000 0.948 0.000 0.016 0.000 0.036
#> 725BBFB5-26F4-4512-9C75-47D013C1E605 1 0.0146 0.8671 0.996 0.000 0.000 0.000 0.000 0.004
#> 39CC4E82-EBC9-472E-8BE5-6A3AB178449A 2 0.5849 0.0758 0.000 0.568 0.252 0.024 0.000 0.156
#> 61130DEE-E267-49DF-8B41-7738A06EF738 3 0.2531 0.5733 0.000 0.000 0.856 0.132 0.000 0.012
#> 117EC12C-B7ED-4E01-B29B-EA542D356EA1 1 0.0260 0.8680 0.992 0.000 0.000 0.000 0.008 0.000
#> A30FF708-F7A9-41E4-8AD5-20441650FBC9 2 0.1141 0.7936 0.000 0.948 0.000 0.000 0.000 0.052
#> 53640D52-1167-4A5D-B656-97D32CBA3934 1 0.0291 0.8685 0.992 0.000 0.000 0.004 0.004 0.000
#> 9E85D76A-DD2A-46D5-BB59-0ED302B6258C 2 0.1858 0.7742 0.000 0.912 0.000 0.012 0.000 0.076
#> 6F8C6F90-7E3C-4860-91DD-586708DE44AA 1 0.3920 0.7203 0.800 0.000 0.000 0.060 0.104 0.036
#> E675AEC5-AA9A-4AAA-839C-03E6365822DB 3 0.2933 0.5723 0.000 0.016 0.844 0.128 0.000 0.012
#> B577DEF7-2F5C-4876-A7C6-F18D5722B8C0 1 0.0146 0.8685 0.996 0.000 0.000 0.000 0.004 0.000
#> DA8B577E-43E7-49BF-BF94-868E3194F5C9 5 0.3523 0.7362 0.180 0.000 0.000 0.040 0.780 0.000
#> 3334280B-2A36-4AC7-A021-A76C10E958F0 2 0.5614 -0.3677 0.000 0.448 0.092 0.016 0.000 0.444
#> 5CBDDC90-11EC-4E6E-881E-AA9CCFD40FDB 2 0.4823 0.5434 0.000 0.684 0.232 0.036 0.000 0.048
#> 8CBBF32A-8349-44F5-A8B8-4CBB1760A464 2 0.4460 0.5891 0.000 0.736 0.112 0.012 0.000 0.140
#> B9455A9A-136D-4DC2-9F86-0FC74433589D 4 0.5427 0.6281 0.000 0.000 0.180 0.620 0.188 0.012
#> D7EAE2A7-F9BE-4222-A452-B1F83F99CD50 2 0.5880 0.2580 0.000 0.612 0.164 0.052 0.000 0.172
#> F803AE18-60C5-4CFE-AAAB-DB33C26A2184 1 0.0000 0.8684 1.000 0.000 0.000 0.000 0.000 0.000
#> 5DD8CAC7-EC02-43B6-B58E-6D2E22868A3B 3 0.2848 0.6089 0.000 0.004 0.856 0.104 0.000 0.036
#> EE98E1B4-DFB3-4AEC-8527-E1FD544C9475 5 0.3717 0.5657 0.384 0.000 0.000 0.000 0.616 0.000
#> 3CE43921-47D5-4394-B9E1-242607775D61 2 0.1141 0.7901 0.000 0.948 0.000 0.000 0.000 0.052
#> 46986F2B-0B0D-4187-8948-4E91D34B7C49 2 0.1349 0.7921 0.000 0.940 0.000 0.004 0.000 0.056
#> 5D1D052E-74EF-45A8-9B1A-7CECD13EA43B 2 0.4478 0.6352 0.000 0.748 0.148 0.036 0.000 0.068
#> 4C821AD9-A5C9-4A9A-9C5D-363B227F8064 3 0.5690 0.2722 0.000 0.172 0.636 0.052 0.000 0.140
#> 06A4189E-A23B-4AC6-AA74-01955DD7D1E9 2 0.1812 0.7827 0.000 0.912 0.000 0.008 0.000 0.080
#> FCCDC76F-CB02-4BCD-A616-325F258DDAA4 2 0.2547 0.7576 0.000 0.868 0.004 0.016 0.000 0.112
#> DAC53B0A-8F35-4EA6-BBCC-4CD1C049E11F 2 0.2094 0.7700 0.000 0.900 0.000 0.020 0.000 0.080
#> DD4F845B-CAD3-44CB-9D96-3C3F5BA1B72D 1 0.0000 0.8684 1.000 0.000 0.000 0.000 0.000 0.000
#> D440F004-A4A4-41B6-BED8-805D67BA01C7 2 0.2058 0.7762 0.000 0.908 0.008 0.012 0.000 0.072
#> A497C423-119F-42FA-BF17-9F6DFD2A5585 2 0.2118 0.7702 0.000 0.888 0.000 0.008 0.000 0.104
#> 3420E573-DE12-4EF5-B1C0-2FCA904F4F4E 5 0.3547 0.6607 0.332 0.000 0.000 0.000 0.668 0.000
#> 1AD72157-A254-44B4-BA58-4F30F1AE910E 5 0.2946 0.7392 0.184 0.000 0.000 0.004 0.808 0.004
#> C1113977-B160-45EE-B061-750F9EA3F33F 2 0.7066 -0.2627 0.000 0.464 0.208 0.204 0.000 0.124
#> 6783AB5B-F07C-447B-BF13-C34485D246D7 3 0.5153 0.4274 0.000 0.132 0.692 0.144 0.004 0.028
#> 1F553062-26FD-4A7F-B7FB-81184604F423 1 0.0291 0.8661 0.992 0.000 0.000 0.004 0.000 0.004
#> BE2DCA51-1C21-4598-98A7-F2FB9B2DFCB4 2 0.3880 0.7092 0.000 0.804 0.088 0.032 0.000 0.076
#> 38941CF3-9C54-4BA4-A005-CC88CA97D504 3 0.6064 -0.3015 0.000 0.384 0.456 0.024 0.000 0.136
#> 51CB675E-E243-4A07-BF4A-580473D26FDA 2 0.3365 0.7392 0.000 0.840 0.040 0.036 0.000 0.084
#> C7FED0F5-C27A-4405-9232-30BF39362CF7 2 0.2169 0.7723 0.000 0.900 0.012 0.008 0.000 0.080
#> 2A1E86E8-4713-465F-ACFF-C584864C57A1 3 0.4647 0.4942 0.000 0.076 0.724 0.028 0.000 0.172
#> B4500785-0FAA-4D4D-8630-43D194BAB004 2 0.1226 0.7966 0.000 0.952 0.004 0.004 0.000 0.040
#> 3FD52E66-AB76-4079-80DB-281A795D1EC0 2 0.5008 0.5347 0.000 0.676 0.224 0.040 0.000 0.060
#> EBD355D1-1226-4DFD-AAFF-45D246B64F3C 6 0.5183 0.6274 0.000 0.256 0.140 0.000 0.000 0.604
#> 5A040A73-CD95-487E-8AEF-9639FE4E2916 2 0.0937 0.7926 0.000 0.960 0.000 0.000 0.000 0.040
#> CF629C65-585D-476D-B081-3E6E0575FAE3 1 0.7504 -0.0781 0.492 0.068 0.228 0.104 0.000 0.108
#> 0D4202A3-808E-413F-9BF3-9CFCCAE0ED61 2 0.1075 0.7917 0.000 0.952 0.000 0.000 0.000 0.048
#> 43E715BF-28D9-4B5E-B762-8CD1B69A430E 1 0.0291 0.8674 0.992 0.000 0.000 0.004 0.000 0.004
#> BFB82BE8-9DAC-4099-8B38-0950308E3EB3 2 0.1327 0.7837 0.000 0.936 0.000 0.000 0.000 0.064
#> F7CB1825-2303-4DD2-AE1F-7205738EAF1F 1 0.0146 0.8684 0.996 0.000 0.000 0.004 0.000 0.000
#> FE298483-C42C-4753-BABB-29A9CB1B6312 1 0.0291 0.8685 0.992 0.000 0.000 0.004 0.004 0.000
#> A98C7561-1B42-4CD6-AE71-924B91FA4C33 3 0.5364 0.4771 0.000 0.044 0.664 0.184 0.000 0.108
#> 58098F21-7DAB-47DA-9A41-8D20BF3B9257 2 0.5882 0.0807 0.000 0.492 0.388 0.060 0.000 0.060
#> 18CAF708-20B9-4745-9CB3-37AB6E0B3056 2 0.3298 0.7441 0.000 0.844 0.060 0.024 0.000 0.072
#> 2C80DD72-C9C7-4AC2-812F-9A31EF02779C 1 0.3830 0.2217 0.620 0.000 0.000 0.004 0.376 0.000
#> 68A3F13D-319D-4603-A27F-B5DD46FE5C5B 2 0.1333 0.7928 0.000 0.944 0.000 0.008 0.000 0.048
#> 7EE8F0CE-CDC9-40F9-A1DE-7F8140EC6D13 4 0.5649 0.6228 0.000 0.000 0.228 0.536 0.236 0.000
#> 39019903-5B9C-4665-BD5F-7CCB19CB55C5 2 0.3211 0.7298 0.000 0.848 0.056 0.020 0.000 0.076
#> 190EDB27-4CBC-4E9C-9B67-D51FDAB982B7 3 0.4197 0.4747 0.000 0.024 0.752 0.192 0.020 0.012
#> EB2D95BC-62F8-4669-9308-D37D7FB79E23 2 0.1327 0.7898 0.000 0.936 0.000 0.000 0.000 0.064
#> A08B85EA-D1E7-4B77-8DEC-36294305B9F7 4 0.3937 0.3182 0.000 0.000 0.000 0.572 0.424 0.004
#> 130DDFAD-6EF8-4C80-BD9D-88308A6874BC 3 0.5468 0.4621 0.000 0.056 0.660 0.180 0.000 0.104
#> 7340A5BA-E002-448F-AACC-E7A37DBB79C2 2 0.1267 0.7864 0.000 0.940 0.000 0.000 0.000 0.060
#> A771F6E3-D266-4FE7-98C6-C40E6A701D59 1 0.0146 0.8685 0.996 0.000 0.000 0.000 0.004 0.000
#> 015E792C-EC1B-49BF-AB07-D82B20C5989A 2 0.4436 0.6260 0.000 0.740 0.152 0.016 0.000 0.092
#> BF79E030-47EE-4D08-B910-5685A4BD8B60 3 0.7540 -0.4156 0.000 0.228 0.368 0.196 0.000 0.208
#> FB3C7C9A-2F2D-4DD5-BE47-FAFB072C0FAB 6 0.5565 0.0838 0.000 0.052 0.104 0.080 0.056 0.708
#> 4E5557BA-10E8-4723-908E-DD04EF6639B2 3 0.2262 0.6003 0.000 0.016 0.896 0.080 0.000 0.008
#> 8031B550-40A9-4A3A-9F7D-CDC052288BD8 3 0.2537 0.6108 0.000 0.000 0.872 0.096 0.000 0.032
#> 55299A06-3C1F-45A4-B166-B2C591C0CEE2 3 0.1745 0.6163 0.000 0.000 0.920 0.068 0.000 0.012
#> EB8D5168-216E-4ABB-8B4E-9E67786CB322 5 0.6294 0.4369 0.360 0.000 0.000 0.048 0.468 0.124
#> 78BD2D83-9A7F-42E5-BB38-654AA0761A0A 2 0.4596 0.5397 0.000 0.728 0.132 0.016 0.000 0.124
#> AA2D53E5-D389-4332-9DD5-A736052E48F8 1 0.0146 0.8671 0.996 0.000 0.000 0.000 0.000 0.004
#> 62945C7A-9313-4FC9-820C-B0AB820B394E 5 0.3944 0.4648 0.428 0.000 0.000 0.004 0.568 0.000
#> 22746046-2E99-4EE9-97D2-BA2EA499634C 3 0.3254 0.5909 0.000 0.000 0.816 0.136 0.000 0.048
#> 8671B51B-DCBE-4429-9F01-AF51CAD7014F 3 0.2494 0.5924 0.000 0.000 0.864 0.120 0.000 0.016
#> E815AB36-5689-4A0D-8E6D-2EAA73406681 1 0.6229 0.1413 0.532 0.000 0.000 0.172 0.256 0.040
#> A1DACB46-ED52-4E38-B2C8-57256BB22B5E 2 0.3173 0.7582 0.000 0.848 0.024 0.036 0.000 0.092
#> 4F5498C4-A423-4B3D-AC98-D4E214A57D0E 1 0.2056 0.8101 0.904 0.000 0.000 0.012 0.080 0.004
#> A7772CCD-FFFF-49DD-86ED-0BAD330EC9B6 3 0.5558 0.3335 0.000 0.192 0.644 0.116 0.000 0.048
#> E6E3DF78-65B9-4F74-8DA8-E2A6D4EDBEA7 3 0.4420 0.5347 0.000 0.072 0.756 0.036 0.000 0.136
#> 83286E2D-E708-437A-911A-E6B050273CBD 1 0.2100 0.7785 0.884 0.000 0.000 0.004 0.112 0.000
#> EC5C7C97-EE8C-405D-A039-D96514B1D414 2 0.1500 0.7875 0.000 0.936 0.012 0.000 0.000 0.052
#> 3E55223D-6E3D-4027-9819-67E91212531D 1 0.1075 0.8410 0.952 0.000 0.000 0.000 0.048 0.000
#> 99A036A2-8343-4D06-8047-D84E96CE4C61 4 0.7218 -0.1709 0.000 0.176 0.148 0.492 0.012 0.172
#> CA6CDE6D-92DE-4259-9E58-A373F2D543EA 3 0.5762 0.0650 0.000 0.232 0.600 0.036 0.000 0.132
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#> 25AF81C5-B117-466D-AE9F-DD10BCB6AF2D 6 0.6499 0.6016 0.000 0.224 0.228 0.048 0.000 0.500
#> 8B1D51D6-0B25-4289-81F0-9F95E0258877 2 0.0547 0.7956 0.000 0.980 0.000 0.000 0.000 0.020
#> 282D390D-8E4E-4A19-B2B7-A6DB4BB2D46C 5 0.2389 0.7184 0.128 0.000 0.000 0.008 0.864 0.000
#> BC6B92C1-F425-40C5-9941-539BFF5FE0FE 2 0.5321 0.4604 0.000 0.636 0.252 0.040 0.000 0.072
#> 899CB9E0-48D0-413D-8566-BC151F146453 1 0.0000 0.8684 1.000 0.000 0.000 0.000 0.000 0.000
#> 441400A9-1427-45E0-A8B4-EF2A6B7465C2 2 0.1007 0.7934 0.000 0.956 0.000 0.000 0.000 0.044
#> CF96DDD4-DC0A-4341-BDE6-4DA2CB4978D0 1 0.3747 0.1226 0.604 0.000 0.000 0.000 0.396 0.000
#> CE91F591-6072-4D29-9495-C78961635969 2 0.0713 0.7950 0.000 0.972 0.000 0.000 0.000 0.028
#> 84D25635-2A38-4CFB-BFAC-38C007625C42 1 0.5182 0.2579 0.584 0.000 0.000 0.044 0.340 0.032
#> ABF1AC12-872A-4C3D-A76C-07BC36A4DA5E 5 0.1226 0.6284 0.040 0.000 0.000 0.004 0.952 0.004
#> B7F7F66F-1AED-4199-81C0-5C7FB0DBF438 2 0.1152 0.7962 0.000 0.952 0.000 0.004 0.000 0.044
#> BAB786B9-6C20-425D-9886-63A0A092B59B 2 0.1858 0.7742 0.000 0.912 0.000 0.012 0.000 0.076
#> 735D1DE3-D781-4F89-A395-09974057BBB7 5 0.4167 0.5753 0.368 0.000 0.000 0.020 0.612 0.000
#> F6D5FBBA-05C4-4340-86D9-1A54181216A2 2 0.2544 0.7538 0.000 0.864 0.004 0.012 0.000 0.120
#> 79C4E166-4A0D-4811-A2C8-CAE0A5AEED42 2 0.1531 0.7902 0.000 0.928 0.000 0.004 0.000 0.068
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
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