Date: 2019-12-26 01:30:51 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 17583 rows and 500 columns.
#> Top rows are extracted by 'SD, CV, MAD, ATC' methods.
#> Subgroups are detected by 'hclust, kmeans, skmeans, pam, mclust, NMF' method.
#> Number of partitions are tried for k = 2, 3, 4, 5, 6.
#> Performed in total 30000 partitions by row resampling.
#>
#> Following methods can be applied to this 'ConsensusPartitionList' object:
#> [1] "cola_report" "collect_classes" "collect_plots" "collect_stats"
#> [5] "colnames" "functional_enrichment" "get_anno_col" "get_anno"
#> [9] "get_classes" "get_matrix" "get_membership" "get_stats"
#> [13] "is_best_k" "is_stable_k" "ncol" "nrow"
#> [17] "rownames" "show" "suggest_best_k" "test_to_known_factors"
#> [21] "top_rows_heatmap" "top_rows_overlap"
#>
#> You can get result for a single method by, e.g. object["SD", "hclust"] or object["SD:hclust"]
#> or a subset of methods by object[c("SD", "CV")], c("hclust", "kmeans")]
The call of run_all_consensus_partition_methods() was:
#> run_all_consensus_partition_methods(data = mat, mc.cores = 4)
Dimension of the input matrix:
mat = get_matrix(res_list)
dim(mat)
#> [1] 17583 500
The density distribution for each sample is visualized as in one column in the following heatmap. The clustering is based on the distance which is the Kolmogorov-Smirnov statistic between two distributions.
library(ComplexHeatmap)
densityHeatmap(mat, ylab = "value", cluster_columns = TRUE, show_column_names = FALSE,
mc.cores = 4)
Folowing table shows the best k (number of partitions) for each combination
of top-value methods and partition methods. Clicking on the method name in
the table goes to the section for a single combination of methods.
The cola vignette explains the definition of the metrics used for determining the best number of partitions.
suggest_best_k(res_list)
| The best k | 1-PAC | Mean silhouette | Concordance | Optional k | ||
|---|---|---|---|---|---|---|
| SD:pam | 4 | 1.000 | 0.981 | 0.993 | ** | 3 |
| SD:mclust | 2 | 1.000 | 0.968 | 0.979 | ** | |
| MAD:kmeans | 2 | 1.000 | 0.987 | 0.993 | ** | |
| MAD:skmeans | 3 | 1.000 | 0.971 | 0.989 | ** | 2 |
| ATC:kmeans | 2 | 1.000 | 0.984 | 0.993 | ** | |
| ATC:mclust | 3 | 1.000 | 0.978 | 0.991 | ** | 2 |
| ATC:skmeans | 6 | 0.984 | 0.933 | 0.961 | ** | 2,3 |
| MAD:pam | 4 | 0.974 | 0.943 | 0.978 | ** | 3 |
| MAD:NMF | 3 | 0.973 | 0.946 | 0.976 | ** | 2 |
| CV:pam | 4 | 0.966 | 0.940 | 0.978 | ** | |
| CV:mclust | 5 | 0.956 | 0.914 | 0.966 | ** | 2,4 |
| SD:NMF | 4 | 0.932 | 0.893 | 0.949 | * | 2,3 |
| ATC:NMF | 2 | 0.930 | 0.927 | 0.970 | * | |
| SD:skmeans | 5 | 0.921 | 0.847 | 0.929 | * | 2,3 |
| ATC:pam | 6 | 0.913 | 0.775 | 0.889 | * | 2,3,5 |
| CV:skmeans | 6 | 0.913 | 0.884 | 0.926 | * | 2,3,5 |
| CV:NMF | 5 | 0.908 | 0.890 | 0.932 | * | 3 |
| SD:kmeans | 3 | 0.855 | 0.946 | 0.932 | ||
| MAD:mclust | 3 | 0.813 | 0.842 | 0.931 | ||
| CV:hclust | 6 | 0.720 | 0.801 | 0.855 | ||
| CV:kmeans | 3 | 0.643 | 0.918 | 0.905 | ||
| ATC:hclust | 2 | 0.508 | 0.820 | 0.906 | ||
| MAD:hclust | 2 | 0.395 | 0.827 | 0.870 | ||
| SD:hclust | 3 | 0.323 | 0.846 | 0.834 |
**: 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 0.985 0.993 0.501 0.499 0.499
#> CV:NMF 2 0.626 0.919 0.942 0.477 0.499 0.499
#> MAD:NMF 2 1.000 0.970 0.987 0.500 0.500 0.500
#> ATC:NMF 2 0.930 0.927 0.970 0.465 0.527 0.527
#> SD:skmeans 2 1.000 0.995 0.998 0.501 0.500 0.500
#> CV:skmeans 2 1.000 0.981 0.991 0.500 0.500 0.500
#> MAD:skmeans 2 1.000 0.992 0.997 0.501 0.499 0.499
#> ATC:skmeans 2 1.000 0.981 0.992 0.501 0.499 0.499
#> SD:mclust 2 1.000 0.968 0.979 0.359 0.654 0.654
#> CV:mclust 2 1.000 0.990 0.996 0.345 0.654 0.654
#> MAD:mclust 2 0.550 0.840 0.883 0.447 0.501 0.501
#> ATC:mclust 2 1.000 0.995 0.998 0.500 0.500 0.500
#> SD:kmeans 2 0.572 0.908 0.916 0.458 0.500 0.500
#> CV:kmeans 2 0.483 0.717 0.836 0.400 0.652 0.652
#> MAD:kmeans 2 1.000 0.987 0.993 0.500 0.499 0.499
#> ATC:kmeans 2 1.000 0.984 0.993 0.499 0.501 0.501
#> SD:pam 2 0.883 0.930 0.970 0.496 0.502 0.502
#> CV:pam 2 0.388 0.798 0.834 0.410 0.501 0.501
#> MAD:pam 2 0.828 0.927 0.969 0.500 0.500 0.500
#> ATC:pam 2 1.000 0.973 0.989 0.495 0.505 0.505
#> SD:hclust 2 0.358 0.814 0.821 0.402 0.500 0.500
#> CV:hclust 2 0.423 0.729 0.857 0.400 0.656 0.656
#> MAD:hclust 2 0.395 0.827 0.870 0.456 0.500 0.500
#> ATC:hclust 2 0.508 0.820 0.906 0.459 0.529 0.529
get_stats(res_list, k = 3)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 3 1.000 0.983 0.993 0.261 0.843 0.693
#> CV:NMF 3 1.000 0.972 0.989 0.334 0.838 0.684
#> MAD:NMF 3 0.973 0.946 0.976 0.274 0.838 0.684
#> ATC:NMF 3 0.651 0.814 0.910 0.354 0.742 0.554
#> SD:skmeans 3 1.000 0.987 0.995 0.278 0.854 0.710
#> CV:skmeans 3 1.000 0.979 0.992 0.283 0.844 0.692
#> MAD:skmeans 3 1.000 0.971 0.989 0.279 0.839 0.685
#> ATC:skmeans 3 0.917 0.912 0.963 0.273 0.825 0.662
#> SD:mclust 3 0.879 0.901 0.952 0.776 0.699 0.542
#> CV:mclust 3 0.896 0.926 0.964 0.845 0.691 0.532
#> MAD:mclust 3 0.813 0.842 0.931 0.423 0.830 0.668
#> ATC:mclust 3 1.000 0.978 0.991 0.270 0.866 0.732
#> SD:kmeans 3 0.855 0.946 0.932 0.338 0.858 0.720
#> CV:kmeans 3 0.643 0.918 0.905 0.490 0.711 0.560
#> MAD:kmeans 3 0.787 0.920 0.914 0.245 0.862 0.727
#> ATC:kmeans 3 0.818 0.845 0.920 0.310 0.767 0.568
#> SD:pam 3 1.000 0.982 0.993 0.261 0.795 0.622
#> CV:pam 3 0.839 0.850 0.941 0.446 0.831 0.682
#> MAD:pam 3 0.974 0.952 0.980 0.273 0.815 0.648
#> ATC:pam 3 0.901 0.902 0.960 0.292 0.810 0.640
#> SD:hclust 3 0.323 0.846 0.834 0.320 0.918 0.838
#> CV:hclust 3 0.500 0.569 0.787 0.300 0.739 0.618
#> MAD:hclust 3 0.300 0.753 0.761 0.220 0.972 0.946
#> ATC:hclust 3 0.447 0.602 0.780 0.351 0.751 0.557
get_stats(res_list, k = 4)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 4 0.932 0.893 0.949 0.0638 0.959 0.889
#> CV:NMF 4 0.841 0.813 0.841 0.0985 0.955 0.879
#> MAD:NMF 4 0.894 0.867 0.943 0.0674 0.950 0.865
#> ATC:NMF 4 0.794 0.841 0.925 0.1341 0.834 0.597
#> SD:skmeans 4 0.862 0.913 0.936 0.0813 0.949 0.861
#> CV:skmeans 4 0.845 0.873 0.881 0.0907 0.957 0.880
#> MAD:skmeans 4 0.858 0.894 0.923 0.0848 0.943 0.845
#> ATC:skmeans 4 0.803 0.836 0.915 0.1103 0.892 0.716
#> SD:mclust 4 0.890 0.855 0.937 0.0700 0.946 0.852
#> CV:mclust 4 0.925 0.889 0.946 0.0531 0.965 0.904
#> MAD:mclust 4 0.868 0.800 0.914 0.0858 0.903 0.741
#> ATC:mclust 4 0.884 0.897 0.948 0.1461 0.905 0.741
#> SD:kmeans 4 0.815 0.461 0.715 0.1333 0.881 0.687
#> CV:kmeans 4 0.742 0.620 0.827 0.1593 0.970 0.920
#> MAD:kmeans 4 0.797 0.789 0.878 0.1395 0.906 0.750
#> ATC:kmeans 4 0.725 0.749 0.855 0.1113 0.888 0.689
#> SD:pam 4 1.000 0.981 0.993 0.0379 0.974 0.931
#> CV:pam 4 0.966 0.940 0.978 0.0806 0.946 0.865
#> MAD:pam 4 0.974 0.943 0.978 0.0425 0.964 0.903
#> ATC:pam 4 0.792 0.747 0.870 0.0933 0.942 0.844
#> SD:hclust 4 0.647 0.703 0.775 0.2200 0.901 0.782
#> CV:hclust 4 0.561 0.786 0.830 0.2008 0.821 0.633
#> MAD:hclust 4 0.507 0.618 0.752 0.1651 0.900 0.801
#> ATC:hclust 4 0.495 0.577 0.742 0.1353 0.830 0.569
get_stats(res_list, k = 5)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 5 0.765 0.714 0.847 0.0963 0.878 0.667
#> CV:NMF 5 0.908 0.890 0.932 0.0935 0.874 0.638
#> MAD:NMF 5 0.742 0.658 0.792 0.0657 0.911 0.750
#> ATC:NMF 5 0.656 0.669 0.776 0.0687 0.965 0.883
#> SD:skmeans 5 0.921 0.847 0.929 0.1183 0.897 0.683
#> CV:skmeans 5 0.958 0.907 0.949 0.1084 0.884 0.647
#> MAD:skmeans 5 0.875 0.848 0.928 0.1117 0.902 0.696
#> ATC:skmeans 5 0.859 0.830 0.918 0.0665 0.908 0.706
#> SD:mclust 5 0.878 0.860 0.936 0.0790 0.900 0.706
#> CV:mclust 5 0.956 0.914 0.966 0.0642 0.940 0.826
#> MAD:mclust 5 0.824 0.844 0.922 0.0718 0.910 0.721
#> ATC:mclust 5 0.728 0.755 0.804 0.0364 0.953 0.834
#> SD:kmeans 5 0.783 0.845 0.863 0.0894 0.857 0.565
#> CV:kmeans 5 0.765 0.818 0.826 0.0915 0.859 0.607
#> MAD:kmeans 5 0.737 0.743 0.811 0.0767 0.919 0.731
#> ATC:kmeans 5 0.734 0.725 0.831 0.0610 0.917 0.710
#> SD:pam 5 0.848 0.895 0.921 0.0537 0.985 0.956
#> CV:pam 5 0.961 0.919 0.959 0.0248 0.988 0.966
#> MAD:pam 5 0.813 0.745 0.865 0.0892 0.959 0.879
#> ATC:pam 5 0.904 0.863 0.939 0.0885 0.882 0.655
#> SD:hclust 5 0.710 0.779 0.874 0.0863 0.942 0.849
#> CV:hclust 5 0.528 0.771 0.840 0.0783 0.969 0.909
#> MAD:hclust 5 0.610 0.630 0.792 0.0900 0.900 0.756
#> ATC:hclust 5 0.575 0.534 0.705 0.0650 0.917 0.717
get_stats(res_list, k = 6)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 6 0.867 0.805 0.914 0.0422 0.934 0.774
#> CV:NMF 6 0.853 0.755 0.861 0.0402 0.966 0.859
#> MAD:NMF 6 0.837 0.822 0.902 0.0491 0.923 0.753
#> ATC:NMF 6 0.646 0.588 0.739 0.0503 0.876 0.602
#> SD:skmeans 6 0.848 0.789 0.854 0.0453 0.935 0.732
#> CV:skmeans 6 0.913 0.884 0.926 0.0457 0.955 0.801
#> MAD:skmeans 6 0.801 0.742 0.832 0.0503 0.935 0.731
#> ATC:skmeans 6 0.984 0.933 0.961 0.0389 0.947 0.794
#> SD:mclust 6 0.805 0.803 0.894 0.0835 0.909 0.670
#> CV:mclust 6 0.815 0.762 0.880 0.0555 0.976 0.921
#> MAD:mclust 6 0.799 0.756 0.876 0.0808 0.916 0.688
#> ATC:mclust 6 0.828 0.750 0.889 0.0469 0.932 0.735
#> SD:kmeans 6 0.786 0.780 0.817 0.0564 0.938 0.753
#> CV:kmeans 6 0.750 0.826 0.845 0.0579 0.936 0.735
#> MAD:kmeans 6 0.735 0.550 0.729 0.0525 0.937 0.752
#> ATC:kmeans 6 0.788 0.648 0.800 0.0464 0.905 0.618
#> SD:pam 6 0.817 0.798 0.875 0.0659 0.938 0.819
#> CV:pam 6 0.753 0.619 0.784 0.1569 0.861 0.604
#> MAD:pam 6 0.789 0.602 0.791 0.0424 0.882 0.642
#> ATC:pam 6 0.913 0.775 0.889 0.0394 0.954 0.815
#> SD:hclust 6 0.718 0.731 0.843 0.0564 0.967 0.901
#> CV:hclust 6 0.720 0.801 0.855 0.0609 0.978 0.930
#> MAD:hclust 6 0.645 0.620 0.785 0.0678 0.924 0.767
#> ATC:hclust 6 0.617 0.572 0.732 0.0410 0.927 0.716
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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.358 0.814 0.821 0.4015 0.500 0.500
#> 3 3 0.323 0.846 0.834 0.3195 0.918 0.838
#> 4 4 0.647 0.703 0.775 0.2200 0.901 0.782
#> 5 5 0.710 0.779 0.874 0.0863 0.942 0.849
#> 6 6 0.718 0.731 0.843 0.0564 0.967 0.901
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.9998 0.5747 0.492 0.508
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.2043 0.9288 0.968 0.032
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.4431 0.6662 0.092 0.908
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0938 0.9361 0.988 0.012
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9348 1.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.9850 0.7514 0.428 0.572
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.9896 0.7228 0.440 0.560
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 1 0.9795 -0.2770 0.584 0.416
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.9608 0.7704 0.384 0.616
#> 6F178361-2A14-4245-8A35-13A0174231E4 1 0.9323 0.2416 0.652 0.348
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.9286 0.7934 0.344 0.656
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0672 0.9350 0.992 0.008
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.5629 0.7757 0.868 0.132
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.9286 0.7934 0.344 0.656
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 1 0.8661 0.5343 0.712 0.288
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.9686 0.7776 0.396 0.604
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9348 1.000 0.000
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#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.9922 0.7251 0.448 0.552
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 2 0.0000 0.6283 0.000 1.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.9491 0.7988 0.368 0.632
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 2 0.4431 0.6662 0.092 0.908
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.1414 0.9334 0.980 0.020
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.4022 0.8810 0.920 0.080
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0938 0.9363 0.988 0.012
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0938 0.9360 0.988 0.012
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.9323 0.8068 0.348 0.652
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.4022 0.8765 0.920 0.080
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0376 0.9361 0.996 0.004
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0672 0.9366 0.992 0.008
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0672 0.9366 0.992 0.008
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.9348 1.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0672 0.9366 0.992 0.008
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.9358 0.8045 0.352 0.648
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.9460 0.7890 0.364 0.636
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 2 0.9286 0.7934 0.344 0.656
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.9427 0.7923 0.360 0.640
#> 36B38256-6879-49C3-94CC-5022F02D1561 2 0.9087 0.7909 0.324 0.676
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0938 0.9359 0.988 0.012
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.9323 0.8055 0.348 0.652
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0938 0.9361 0.988 0.012
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 2 0.9998 0.5747 0.492 0.508
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.1633 0.9302 0.976 0.024
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.1633 0.9314 0.976 0.024
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.9815 0.7564 0.420 0.580
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.9988 0.6572 0.480 0.520
#> B9009D40-10AC-48B3-9495-865BCE904CB1 2 0.9286 0.7934 0.344 0.656
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.9552 0.7786 0.376 0.624
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.9348 1.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0376 0.9361 0.996 0.004
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.9348 1.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0672 0.9366 0.992 0.008
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0376 0.9361 0.996 0.004
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 2 0.0000 0.6283 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0376 0.9356 0.996 0.004
#> ACE0493F-E7CD-47FB-91E1-25393C512001 2 0.0938 0.6311 0.012 0.988
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.5629 0.7757 0.868 0.132
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.9129 0.8032 0.328 0.672
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.2603 0.9136 0.956 0.044
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.9909 0.7294 0.444 0.556
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 2 0.9286 0.7934 0.344 0.656
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.9129 0.8032 0.328 0.672
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.9129 0.8032 0.328 0.672
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.9522 0.7966 0.372 0.628
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.5629 0.7757 0.868 0.132
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 2 0.9286 0.7934 0.344 0.656
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9348 1.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.4022 0.8810 0.920 0.080
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.1633 0.9325 0.976 0.024
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0938 0.9361 0.988 0.012
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.9427 0.8012 0.360 0.640
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.9552 0.7786 0.376 0.624
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.0000 0.6283 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.8555 0.4024 0.720 0.280
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.9248 0.8043 0.340 0.660
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.9348 1.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0672 0.9366 0.992 0.008
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.9850 0.7514 0.428 0.572
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.9732 0.7777 0.404 0.596
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.9608 0.7771 0.384 0.616
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.9866 0.7356 0.432 0.568
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.2043 0.9276 0.968 0.032
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9348 1.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.2236 0.9273 0.964 0.036
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9348 1.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.9348 1.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9348 1.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.1414 0.9336 0.980 0.020
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.9087 0.7909 0.324 0.676
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.9552 0.7786 0.376 0.624
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.9323 0.8068 0.348 0.652
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.5842 0.8212 0.860 0.140
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0672 0.9366 0.992 0.008
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.4431 0.6662 0.092 0.908
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 2 0.9087 0.7909 0.324 0.676
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.9209 0.8034 0.336 0.664
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.1184 0.9351 0.984 0.016
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.1184 0.9349 0.984 0.016
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.2236 0.9256 0.964 0.036
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.0000 0.6283 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 2 0.9286 0.7934 0.344 0.656
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 2 0.9286 0.7934 0.344 0.656
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.9608 0.7771 0.384 0.616
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.5842 0.7914 0.860 0.140
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.4022 0.8810 0.920 0.080
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.4022 0.8810 0.920 0.080
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.9635 0.7663 0.388 0.612
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0672 0.9366 0.992 0.008
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0672 0.9358 0.992 0.008
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.0000 0.6283 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.2423 0.9223 0.960 0.040
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.4562 0.8612 0.904 0.096
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0672 0.9366 0.992 0.008
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0376 0.9361 0.996 0.004
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0938 0.9361 0.988 0.012
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0672 0.9366 0.992 0.008
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9348 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0376 0.9337 0.996 0.004
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.1633 0.9314 0.976 0.024
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.4431 0.8662 0.908 0.092
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.1633 0.9321 0.976 0.024
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.9323 0.8068 0.348 0.652
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.6283 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0672 0.9365 0.992 0.008
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.9580 0.7941 0.380 0.620
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.9775 0.7701 0.412 0.588
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.2043 0.9283 0.968 0.032
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.2423 0.9253 0.960 0.040
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.0000 0.6283 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.9286 0.7934 0.344 0.656
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.6881 0.6452 0.320 0.648 0.032
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.3752 0.8844 0.884 0.096 0.020
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.6044 0.8536 0.056 0.172 0.772
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.1529 0.9133 0.960 0.040 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0747 0.9095 0.984 0.016 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.5378 0.8399 0.236 0.756 0.008
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.6578 0.8300 0.224 0.724 0.052
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.7519 0.5207 0.388 0.568 0.044
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.6138 0.8432 0.172 0.768 0.060
#> 6F178361-2A14-4245-8A35-13A0174231E4 1 0.8249 -0.0359 0.500 0.424 0.076
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.5111 0.7983 0.144 0.820 0.036
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.2176 0.9010 0.948 0.032 0.020
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.5798 0.7263 0.776 0.184 0.040
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.5111 0.7983 0.144 0.820 0.036
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 1 0.8291 0.3776 0.580 0.320 0.100
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.5901 0.8548 0.192 0.768 0.040
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0747 0.9095 0.984 0.016 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.2878 0.9802 0.000 0.096 0.904
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 2 0.5111 0.7983 0.144 0.820 0.036
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.5688 0.7317 0.788 0.168 0.044
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.1411 0.9130 0.964 0.036 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.1129 0.9128 0.976 0.020 0.004
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.6668 0.7941 0.264 0.696 0.040
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 2 0.6881 0.6452 0.320 0.648 0.032
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 1 0.8000 0.4951 0.620 0.284 0.096
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.3539 0.8791 0.888 0.100 0.012
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.6363 0.7537 0.136 0.768 0.096
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.5239 0.8586 0.160 0.808 0.032
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.5414 0.8517 0.212 0.772 0.016
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.5236 0.8615 0.168 0.804 0.028
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0892 0.9119 0.980 0.020 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.5551 0.8336 0.224 0.760 0.016
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.5235 0.8553 0.152 0.812 0.036
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.5180 0.8592 0.156 0.812 0.032
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.5111 0.7983 0.144 0.820 0.036
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.5835 0.7934 0.784 0.164 0.052
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.1129 0.9126 0.976 0.020 0.004
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.5798 0.7263 0.776 0.184 0.040
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.2878 0.9802 0.000 0.096 0.904
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.2297 0.9015 0.944 0.036 0.020
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.6192 0.8420 0.176 0.764 0.060
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.5111 0.7983 0.144 0.820 0.036
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.1267 0.9131 0.972 0.024 0.004
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.4137 0.8707 0.872 0.096 0.032
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.5461 0.8495 0.216 0.768 0.016
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.5174 0.8417 0.832 0.092 0.076
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.1031 0.9125 0.976 0.024 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.6098 0.8456 0.176 0.768 0.056
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.5111 0.7983 0.144 0.820 0.036
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.6363 0.7537 0.136 0.768 0.096
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.5174 0.8417 0.832 0.092 0.076
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.1647 0.9123 0.960 0.036 0.004
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.6201 0.8393 0.208 0.748 0.044
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.2527 0.8993 0.936 0.044 0.020
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.3539 0.8791 0.888 0.100 0.012
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.6027 0.8460 0.164 0.776 0.060
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 3 0.2878 0.9802 0.000 0.096 0.904
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.1163 0.9141 0.972 0.028 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 2 0.5330 0.7933 0.144 0.812 0.044
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 1 0.8055 0.4770 0.612 0.292 0.096
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 1 0.8291 0.3776 0.580 0.320 0.100
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.3832 0.8782 0.880 0.100 0.020
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.6142 0.7373 0.748 0.212 0.040
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.2878 0.9802 0.000 0.096 0.904
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.3973 0.8764 0.880 0.088 0.032
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.1525 0.9128 0.964 0.032 0.004
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#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.2280 0.9062 0.940 0.052 0.008
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.5940 0.8533 0.204 0.760 0.036
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.6761 0.8033 0.252 0.700 0.048
#> B9009D40-10AC-48B3-9495-865BCE904CB1 2 0.5111 0.7983 0.144 0.820 0.036
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.6027 0.8460 0.164 0.776 0.060
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0892 0.9119 0.980 0.020 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.1129 0.9117 0.976 0.020 0.004
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0747 0.9095 0.984 0.016 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.1411 0.9125 0.964 0.036 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.1399 0.9132 0.968 0.028 0.004
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 3 0.2878 0.9802 0.000 0.096 0.904
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.1647 0.9142 0.960 0.036 0.004
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.3695 0.9606 0.012 0.108 0.880
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.5798 0.7263 0.776 0.184 0.040
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.5235 0.8553 0.152 0.812 0.036
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.3769 0.8715 0.880 0.104 0.016
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.6302 0.8348 0.208 0.744 0.048
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 2 0.5111 0.7983 0.144 0.820 0.036
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.5235 0.8553 0.152 0.812 0.036
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.5235 0.8553 0.152 0.812 0.036
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.5292 0.8621 0.172 0.800 0.028
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.5798 0.7263 0.776 0.184 0.040
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 2 0.5111 0.7983 0.144 0.820 0.036
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0747 0.9095 0.984 0.016 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.5174 0.8417 0.832 0.092 0.076
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.1989 0.9122 0.948 0.048 0.004
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.1289 0.9135 0.968 0.032 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.5526 0.8611 0.172 0.792 0.036
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.6027 0.8460 0.164 0.776 0.060
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.2878 0.9802 0.000 0.096 0.904
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.7591 0.1454 0.544 0.412 0.044
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.5239 0.8586 0.160 0.808 0.032
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.1129 0.9115 0.976 0.020 0.004
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.1529 0.9122 0.960 0.040 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.5378 0.8399 0.236 0.756 0.008
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.5406 0.8577 0.200 0.780 0.020
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.6208 0.8158 0.192 0.756 0.052
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.6348 0.8397 0.212 0.740 0.048
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.3207 0.8909 0.904 0.084 0.012
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0747 0.9095 0.984 0.016 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.3973 0.8763 0.880 0.088 0.032
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.1031 0.9121 0.976 0.024 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0747 0.9095 0.984 0.016 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0747 0.9095 0.984 0.016 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.2793 0.8968 0.928 0.044 0.028
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.6363 0.7537 0.136 0.768 0.096
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.6027 0.8460 0.164 0.776 0.060
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.5355 0.8612 0.168 0.800 0.032
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.6968 0.7406 0.732 0.148 0.120
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.1399 0.9126 0.968 0.028 0.004
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.6044 0.8536 0.056 0.172 0.772
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 2 0.6363 0.7537 0.136 0.768 0.096
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.5180 0.8571 0.156 0.812 0.032
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.2383 0.9099 0.940 0.044 0.016
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.2152 0.9024 0.948 0.036 0.016
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.3973 0.8793 0.880 0.088 0.032
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.2878 0.9802 0.000 0.096 0.904
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 2 0.5111 0.7983 0.144 0.820 0.036
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 2 0.5111 0.7983 0.144 0.820 0.036
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.6208 0.8158 0.192 0.756 0.052
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.6319 0.7047 0.732 0.228 0.040
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.5174 0.8417 0.832 0.092 0.076
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.5174 0.8417 0.832 0.092 0.076
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.6192 0.8420 0.176 0.764 0.060
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.1525 0.9127 0.964 0.032 0.004
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.1267 0.9079 0.972 0.024 0.004
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.2878 0.9802 0.000 0.096 0.904
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.3610 0.8829 0.888 0.096 0.016
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.5526 0.7874 0.792 0.172 0.036
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.1289 0.9128 0.968 0.032 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.1031 0.9119 0.976 0.024 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.1529 0.9133 0.960 0.040 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.1411 0.9125 0.964 0.036 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.1129 0.9111 0.976 0.020 0.004
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0592 0.9088 0.988 0.012 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.2384 0.9073 0.936 0.056 0.008
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.5470 0.7925 0.796 0.168 0.036
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.3272 0.8914 0.904 0.080 0.016
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.5355 0.8612 0.168 0.800 0.032
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.2878 0.9802 0.000 0.096 0.904
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.1399 0.9123 0.968 0.028 0.004
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.5200 0.8620 0.184 0.796 0.020
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.5220 0.8543 0.208 0.780 0.012
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.2096 0.9089 0.944 0.052 0.004
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.4056 0.8732 0.876 0.092 0.032
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.2878 0.9802 0.000 0.096 0.904
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.5330 0.7933 0.144 0.812 0.044
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.7969 -0.05887 0.196 0.420 0.372 NA
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.3399 0.88138 0.868 0.040 0.000 NA
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.6819 0.42281 0.012 0.068 0.508 NA
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.1598 0.89816 0.956 0.020 0.004 NA
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.1296 0.89405 0.964 0.004 0.004 NA
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.3365 0.81141 0.056 0.888 0.024 NA
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.4147 0.78891 0.064 0.840 0.008 NA
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.6746 0.55645 0.156 0.668 0.024 NA
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.2731 0.80185 0.004 0.896 0.008 NA
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.7905 0.32943 0.252 0.516 0.020 NA
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.5858 0.27043 0.032 0.468 0.500 NA
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.2921 0.86627 0.860 0.000 0.000 NA
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.5720 0.73269 0.752 0.024 0.100 NA
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.5858 0.27043 0.032 0.468 0.500 NA
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 1 0.8229 0.09217 0.384 0.332 0.012 NA
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.3471 0.82182 0.036 0.880 0.016 NA
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.1191 0.89391 0.968 0.004 0.004 NA
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.5000 0.45382 0.000 0.000 0.504 NA
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.5858 0.27043 0.032 0.468 0.500 NA
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.5702 0.71671 0.732 0.008 0.100 NA
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.1297 0.89783 0.964 0.016 0.000 NA
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.1822 0.89618 0.944 0.008 0.004 NA
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.4848 0.76542 0.092 0.808 0.020 NA
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 2 0.7969 -0.05887 0.196 0.420 0.372 NA
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 1 0.8018 0.21489 0.388 0.280 0.004 NA
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.3548 0.86658 0.864 0.068 0.000 NA
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.6611 0.27722 0.020 0.460 0.480 NA
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.1590 0.82513 0.008 0.956 0.028 NA
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.3225 0.81535 0.060 0.892 0.016 NA
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.1356 0.82187 0.008 0.960 0.032 NA
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.1339 0.89693 0.964 0.008 0.004 NA
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.3174 0.81563 0.048 0.892 0.008 NA
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.1677 0.81761 0.000 0.948 0.040 NA
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.1042 0.82708 0.008 0.972 0.020 NA
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.5858 0.27043 0.032 0.468 0.500 NA
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.6081 0.74102 0.652 0.088 0.000 NA
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0779 0.89653 0.980 0.004 0.000 NA
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.5720 0.73269 0.752 0.024 0.100 NA
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.5000 0.45382 0.000 0.000 0.504 NA
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.2973 0.86509 0.856 0.000 0.000 NA
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.2731 0.80312 0.004 0.896 0.008 NA
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.5858 0.27043 0.032 0.468 0.500 NA
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0804 0.89815 0.980 0.008 0.000 NA
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.4149 0.84711 0.804 0.028 0.000 NA
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.3199 0.81475 0.060 0.892 0.012 NA
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.5487 0.75614 0.684 0.020 0.016 NA
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.1471 0.89782 0.960 0.012 0.004 NA
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.2266 0.80922 0.000 0.912 0.004 NA
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.5858 0.27043 0.032 0.468 0.500 NA
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.6611 0.27722 0.020 0.460 0.480 NA
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.5487 0.75614 0.684 0.020 0.016 NA
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.1484 0.89605 0.960 0.020 0.004 NA
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.5616 0.74406 0.048 0.772 0.096 NA
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.2928 0.87620 0.880 0.012 0.000 NA
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.3548 0.86658 0.864 0.068 0.000 NA
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.2412 0.80662 0.000 0.908 0.008 NA
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 3 0.5000 0.45382 0.000 0.000 0.504 NA
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.1484 0.89920 0.960 0.016 0.004 NA
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.6154 0.27000 0.032 0.468 0.492 NA
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 1 0.7745 0.32233 0.420 0.240 0.000 NA
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 1 0.8229 0.09217 0.384 0.332 0.012 NA
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.3542 0.87007 0.864 0.060 0.000 NA
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.6400 0.69755 0.652 0.168 0.000 NA
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.5000 0.45382 0.000 0.000 0.504 NA
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.3900 0.85381 0.816 0.020 0.000 NA
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.1911 0.89759 0.944 0.020 0.004 NA
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.2685 0.88971 0.912 0.044 0.004 NA
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.6323 0.69692 0.660 0.176 0.000 NA
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 3 0.5000 0.45382 0.000 0.000 0.504 NA
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.6833 0.50484 0.588 0.288 0.004 NA
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.1888 0.81307 0.016 0.940 0.044 NA
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.1229 0.89611 0.968 0.008 0.004 NA
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.6611 0.27722 0.020 0.460 0.480 NA
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.1624 0.89493 0.952 0.028 0.000 NA
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.3928 0.81406 0.052 0.860 0.020 NA
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.1369 0.89601 0.964 0.016 0.004 NA
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.6448 0.69303 0.628 0.120 0.000 NA
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 1 0.6176 0.63462 0.572 0.060 0.000 NA
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.4149 0.84711 0.804 0.028 0.000 NA
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.5858 0.27043 0.032 0.468 0.500 NA
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.1229 0.89553 0.968 0.008 0.004 NA
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#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.1369 0.89647 0.964 0.016 0.004 NA
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.1953 0.89845 0.940 0.012 0.004 NA
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 3 0.5000 0.45382 0.000 0.000 0.504 NA
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.1639 0.90013 0.952 0.008 0.004 NA
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.5292 0.45061 0.000 0.008 0.512 NA
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.5720 0.73269 0.752 0.024 0.100 NA
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.1284 0.82284 0.000 0.964 0.024 NA
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.4086 0.85642 0.840 0.076 0.004 NA
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.5979 0.72408 0.052 0.748 0.116 NA
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.5858 0.27043 0.032 0.468 0.500 NA
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.1677 0.81761 0.000 0.948 0.040 NA
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.1677 0.81761 0.000 0.948 0.040 NA
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.2616 0.83363 0.016 0.920 0.028 NA
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.5720 0.73269 0.752 0.024 0.100 NA
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.5858 0.27043 0.032 0.468 0.500 NA
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.1492 0.89452 0.956 0.004 0.004 NA
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.5487 0.75614 0.684 0.020 0.016 NA
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.2255 0.89561 0.920 0.012 0.000 NA
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.1362 0.89890 0.964 0.012 0.004 NA
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.1394 0.83077 0.012 0.964 0.016 NA
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.2412 0.80662 0.000 0.908 0.008 NA
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.5000 0.45382 0.000 0.000 0.504 NA
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.7446 -0.00584 0.416 0.432 0.004 NA
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.1486 0.82651 0.008 0.960 0.024 NA
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.1492 0.89574 0.956 0.004 0.004 NA
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.1484 0.89782 0.960 0.020 0.004 NA
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.3365 0.81141 0.056 0.888 0.024 NA
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.2559 0.82416 0.048 0.920 0.016 NA
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.5719 0.59671 0.032 0.732 0.192 NA
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.3699 0.80881 0.048 0.864 0.008 NA
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.3164 0.87731 0.884 0.052 0.000 NA
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.1191 0.89450 0.968 0.004 0.004 NA
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.4245 0.84107 0.784 0.020 0.000 NA
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.1575 0.89709 0.956 0.012 0.004 NA
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.1191 0.89391 0.968 0.004 0.004 NA
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.1296 0.89405 0.964 0.004 0.004 NA
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.2987 0.87791 0.880 0.016 0.000 NA
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.6611 0.27722 0.020 0.460 0.480 NA
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.2412 0.80662 0.000 0.908 0.008 NA
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.1938 0.81051 0.012 0.936 0.052 NA
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.6176 0.63462 0.572 0.060 0.000 NA
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.1471 0.89703 0.960 0.012 0.004 NA
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.6819 0.42281 0.012 0.068 0.508 NA
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.6611 0.27722 0.020 0.460 0.480 NA
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.1356 0.82056 0.000 0.960 0.032 NA
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.2124 0.89372 0.932 0.028 0.000 NA
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.2401 0.88276 0.904 0.004 0.000 NA
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.4323 0.84679 0.788 0.028 0.000 NA
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.5000 0.45382 0.000 0.000 0.504 NA
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.5858 0.27043 0.032 0.468 0.500 NA
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.5858 0.27043 0.032 0.468 0.500 NA
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.5719 0.59671 0.032 0.732 0.192 NA
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.6469 0.67075 0.644 0.192 0.000 NA
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.5487 0.75614 0.684 0.020 0.016 NA
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.5487 0.75614 0.684 0.020 0.016 NA
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.2731 0.80312 0.004 0.896 0.008 NA
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.1593 0.89687 0.956 0.016 0.004 NA
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.1824 0.89107 0.936 0.000 0.004 NA
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.5000 0.45382 0.000 0.000 0.504 NA
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.3398 0.87292 0.872 0.060 0.000 NA
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.5902 0.74939 0.700 0.140 0.000 NA
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.1362 0.89687 0.964 0.012 0.004 NA
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0657 0.89657 0.984 0.004 0.000 NA
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.1598 0.89816 0.956 0.020 0.004 NA
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.1484 0.89662 0.960 0.016 0.004 NA
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.1847 0.89391 0.940 0.004 0.004 NA
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.1109 0.89454 0.968 0.000 0.004 NA
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.2593 0.89226 0.904 0.016 0.000 NA
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.5855 0.75446 0.704 0.136 0.000 NA
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.3272 0.87851 0.884 0.052 0.004 NA
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.1938 0.81051 0.012 0.936 0.052 NA
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.5000 0.45382 0.000 0.000 0.504 NA
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.1305 0.89715 0.960 0.004 0.000 NA
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.1724 0.82836 0.032 0.948 0.020 NA
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.2604 0.81922 0.056 0.916 0.012 NA
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.3048 0.88513 0.876 0.016 0.000 NA
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.4225 0.84214 0.792 0.024 0.000 NA
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.5000 0.45382 0.000 0.000 0.504 NA
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.6154 0.27000 0.032 0.468 0.492 NA
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.3236 0.7104 0.152 0.000 0.828 0.000 0.020
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.2784 0.7988 0.872 0.016 0.004 0.000 0.108
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.3106 0.8237 0.000 0.020 0.140 0.840 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.1153 0.8336 0.964 0.008 0.004 0.000 0.024
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.1041 0.8298 0.964 0.000 0.004 0.000 0.032
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.4375 0.8345 0.040 0.800 0.104 0.000 0.056
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.3867 0.8140 0.048 0.836 0.044 0.000 0.072
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.6593 0.4642 0.084 0.596 0.080 0.000 0.240
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.1591 0.8250 0.004 0.940 0.004 0.000 0.052
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.7309 -0.0490 0.088 0.444 0.076 0.008 0.384
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0162 0.9490 0.000 0.004 0.996 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.3300 0.7172 0.792 0.000 0.004 0.000 0.204
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.4086 0.4494 0.704 0.012 0.000 0.000 0.284
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0162 0.9490 0.000 0.004 0.996 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 5 0.7790 0.6986 0.184 0.268 0.060 0.016 0.472
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.2829 0.8407 0.024 0.892 0.032 0.000 0.052
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.1205 0.8302 0.956 0.000 0.004 0.000 0.040
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.9751 0.000 0.000 0.000 1.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0162 0.9490 0.000 0.004 0.996 0.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.4009 0.4243 0.684 0.000 0.004 0.000 0.312
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.1331 0.8328 0.952 0.008 0.000 0.000 0.040
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.1704 0.8228 0.928 0.000 0.004 0.000 0.068
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.4741 0.7939 0.032 0.768 0.068 0.000 0.132
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.3236 0.7104 0.152 0.000 0.828 0.000 0.020
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 5 0.6899 0.7303 0.220 0.244 0.012 0.008 0.516
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.3234 0.7588 0.852 0.064 0.000 0.000 0.084
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.1571 0.9273 0.000 0.004 0.936 0.060 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.2305 0.8615 0.000 0.896 0.092 0.000 0.012
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.3701 0.8373 0.048 0.840 0.088 0.000 0.024
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.2470 0.8594 0.000 0.884 0.104 0.000 0.012
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0963 0.8322 0.964 0.000 0.000 0.000 0.036
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.3792 0.8409 0.036 0.840 0.056 0.000 0.068
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.2130 0.8561 0.000 0.908 0.080 0.000 0.012
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.2020 0.8628 0.000 0.900 0.100 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0162 0.9490 0.000 0.004 0.996 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.5243 0.1331 0.540 0.048 0.000 0.000 0.412
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0963 0.8350 0.964 0.000 0.000 0.000 0.036
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.4086 0.4494 0.704 0.012 0.000 0.000 0.284
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 0.9751 0.000 0.000 0.000 1.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.3366 0.7066 0.784 0.000 0.004 0.000 0.212
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.1901 0.8311 0.004 0.928 0.012 0.000 0.056
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0162 0.9490 0.000 0.004 0.996 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0955 0.8350 0.968 0.004 0.000 0.000 0.028
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.3636 0.6348 0.728 0.000 0.000 0.000 0.272
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.3730 0.8363 0.048 0.840 0.084 0.000 0.028
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.5019 0.0347 0.532 0.000 0.032 0.000 0.436
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0865 0.8347 0.972 0.000 0.004 0.000 0.024
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.1444 0.8433 0.000 0.948 0.012 0.000 0.040
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0162 0.9490 0.000 0.004 0.996 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.1571 0.9273 0.000 0.004 0.936 0.060 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.5019 0.0347 0.532 0.000 0.032 0.000 0.436
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0992 0.8302 0.968 0.008 0.000 0.000 0.024
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.4928 0.7196 0.036 0.744 0.168 0.000 0.052
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.3074 0.7337 0.804 0.000 0.000 0.000 0.196
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.3234 0.7588 0.852 0.064 0.000 0.000 0.084
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.1357 0.8297 0.000 0.948 0.004 0.000 0.048
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0000 0.9751 0.000 0.000 0.000 1.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.1202 0.8370 0.960 0.004 0.004 0.000 0.032
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0451 0.9471 0.000 0.004 0.988 0.008 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 5 0.6514 0.7627 0.252 0.208 0.000 0.008 0.532
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 5 0.7790 0.6986 0.184 0.268 0.060 0.016 0.472
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.3146 0.7683 0.856 0.052 0.000 0.000 0.092
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.5766 0.2898 0.616 0.164 0.000 0.000 0.220
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0000 0.9751 0.000 0.000 0.000 1.000 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.3480 0.6722 0.752 0.000 0.000 0.000 0.248
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.1357 0.8296 0.948 0.004 0.000 0.000 0.048
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.2193 0.8109 0.912 0.028 0.000 0.000 0.060
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.5700 0.3100 0.628 0.176 0.000 0.000 0.196
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0000 0.9751 0.000 0.000 0.000 1.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.5765 0.0328 0.580 0.304 0.000 0.000 0.116
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.2929 0.8520 0.004 0.856 0.128 0.000 0.012
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0955 0.8335 0.968 0.000 0.004 0.000 0.028
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.1571 0.9273 0.000 0.004 0.936 0.060 0.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.1364 0.8281 0.952 0.012 0.000 0.000 0.036
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.3596 0.8364 0.036 0.852 0.060 0.000 0.052
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0955 0.8299 0.968 0.004 0.000 0.000 0.028
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.5802 -0.0645 0.516 0.096 0.000 0.000 0.388
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 5 0.4852 0.7006 0.324 0.016 0.000 0.016 0.644
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.3636 0.6348 0.728 0.000 0.000 0.000 0.272
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#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 4 0.0000 0.9751 0.000 0.000 0.000 1.000 0.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.4964 0.7147 0.036 0.740 0.172 0.000 0.052
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 4 0.0000 0.9751 0.000 0.000 0.000 1.000 0.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.2990 0.8661 0.008 0.868 0.100 0.000 0.024
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 4 0.3106 0.8237 0.000 0.020 0.140 0.840 0.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.2139 0.8086 0.916 0.032 0.000 0.000 0.052
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.5019 0.0347 0.532 0.000 0.032 0.000 0.436
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.1124 0.8354 0.960 0.004 0.000 0.000 0.036
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.1364 0.8268 0.952 0.012 0.000 0.000 0.036
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.2771 0.8504 0.000 0.860 0.128 0.000 0.012
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.5072 0.5097 0.696 0.116 0.000 0.000 0.188
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0794 0.8329 0.972 0.000 0.000 0.000 0.028
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0865 0.8301 0.972 0.004 0.000 0.000 0.024
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0992 0.8327 0.968 0.008 0.000 0.000 0.024
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.1205 0.8304 0.956 0.000 0.004 0.000 0.040
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0955 0.8341 0.968 0.000 0.004 0.000 0.028
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.2470 0.8594 0.000 0.884 0.104 0.000 0.012
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.2157 0.8516 0.004 0.920 0.036 0.000 0.040
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0162 0.9490 0.000 0.004 0.996 0.000 0.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.1828 0.8540 0.004 0.936 0.032 0.000 0.028
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.1571 0.9273 0.000 0.004 0.936 0.060 0.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.2970 0.7601 0.828 0.004 0.000 0.000 0.168
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.2011 0.8641 0.000 0.908 0.088 0.000 0.004
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0932 0.8357 0.972 0.004 0.004 0.000 0.020
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.3236 0.7104 0.152 0.000 0.828 0.000 0.020
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.2763 0.7849 0.848 0.004 0.000 0.000 0.148
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.2561 0.7890 0.856 0.000 0.000 0.000 0.144
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.3781 0.8286 0.040 0.840 0.076 0.000 0.044
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.5739 0.6727 0.060 0.704 0.156 0.004 0.076
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0162 0.9490 0.000 0.004 0.996 0.000 0.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.1357 0.8297 0.000 0.948 0.004 0.000 0.048
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0955 0.8335 0.968 0.000 0.004 0.000 0.028
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0794 0.8348 0.972 0.000 0.000 0.000 0.028
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.1041 0.8305 0.964 0.000 0.004 0.000 0.032
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0992 0.8325 0.968 0.008 0.000 0.000 0.024
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.1430 0.8317 0.944 0.004 0.000 0.000 0.052
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.0000 0.9751 0.000 0.000 0.000 1.000 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.1341 0.8379 0.944 0.000 0.000 0.000 0.056
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.0703 0.9538 0.000 0.000 0.024 0.976 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.4086 0.4494 0.704 0.012 0.000 0.000 0.284
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.1764 0.8592 0.000 0.928 0.064 0.000 0.008
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.3471 0.7368 0.836 0.072 0.000 0.000 0.092
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.5170 0.6915 0.036 0.716 0.196 0.000 0.052
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0162 0.9490 0.000 0.004 0.996 0.000 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.2130 0.8561 0.000 0.908 0.080 0.000 0.012
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.2130 0.8561 0.000 0.908 0.080 0.000 0.012
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.2664 0.8661 0.004 0.884 0.092 0.000 0.020
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.4086 0.4494 0.704 0.012 0.000 0.000 0.284
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0162 0.9490 0.000 0.004 0.996 0.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.1282 0.8295 0.952 0.000 0.004 0.000 0.044
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.5019 0.0347 0.532 0.000 0.032 0.000 0.436
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.2124 0.8183 0.900 0.004 0.000 0.000 0.096
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0932 0.8357 0.972 0.004 0.004 0.000 0.020
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.2112 0.8660 0.004 0.908 0.084 0.000 0.004
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.1357 0.8297 0.000 0.948 0.004 0.000 0.048
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0000 0.9751 0.000 0.000 0.000 1.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.6407 -0.3878 0.400 0.448 0.004 0.000 0.148
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.2248 0.8625 0.000 0.900 0.088 0.000 0.012
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.1205 0.8320 0.956 0.000 0.004 0.000 0.040
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0992 0.8327 0.968 0.008 0.000 0.000 0.024
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.4375 0.8345 0.040 0.800 0.104 0.000 0.056
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.3352 0.8521 0.036 0.852 0.100 0.000 0.012
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.6079 0.5354 0.012 0.564 0.348 0.016 0.060
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.3525 0.8335 0.036 0.856 0.048 0.000 0.060
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.2889 0.7818 0.872 0.044 0.000 0.000 0.084
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.1041 0.8311 0.964 0.000 0.004 0.000 0.032
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.3884 0.6122 0.708 0.000 0.004 0.000 0.288
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.1285 0.8332 0.956 0.004 0.004 0.000 0.036
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.1041 0.8305 0.964 0.000 0.004 0.000 0.032
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.1041 0.8298 0.964 0.000 0.004 0.000 0.032
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.3231 0.7329 0.800 0.004 0.000 0.000 0.196
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.1571 0.9273 0.000 0.004 0.936 0.060 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.1357 0.8297 0.000 0.948 0.004 0.000 0.048
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.2771 0.8504 0.000 0.860 0.128 0.000 0.012
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.4852 0.7006 0.324 0.016 0.000 0.016 0.644
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0955 0.8341 0.968 0.000 0.004 0.000 0.028
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.3106 0.8237 0.000 0.020 0.140 0.840 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.1571 0.9273 0.000 0.004 0.936 0.060 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.2130 0.8594 0.000 0.908 0.080 0.000 0.012
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.2046 0.8202 0.916 0.016 0.000 0.000 0.068
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.2852 0.7554 0.828 0.000 0.000 0.000 0.172
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.3612 0.6499 0.732 0.000 0.000 0.000 0.268
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.9751 0.000 0.000 0.000 1.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0162 0.9490 0.000 0.004 0.996 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0162 0.9490 0.000 0.004 0.996 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.6079 0.5354 0.012 0.564 0.348 0.016 0.060
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.5849 0.2443 0.608 0.196 0.000 0.000 0.196
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.5019 0.0347 0.532 0.000 0.032 0.000 0.436
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.5019 0.0347 0.532 0.000 0.032 0.000 0.436
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.1970 0.8290 0.004 0.924 0.012 0.000 0.060
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.1116 0.8318 0.964 0.004 0.004 0.000 0.028
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.2389 0.7922 0.880 0.000 0.004 0.000 0.116
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.9751 0.000 0.000 0.000 1.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.3090 0.7714 0.860 0.052 0.000 0.000 0.088
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.5365 0.4389 0.664 0.132 0.000 0.000 0.204
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0833 0.8327 0.976 0.004 0.004 0.000 0.016
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0880 0.8352 0.968 0.000 0.000 0.000 0.032
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.1153 0.8336 0.964 0.008 0.004 0.000 0.024
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0992 0.8304 0.968 0.008 0.000 0.000 0.024
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.1892 0.8168 0.916 0.000 0.004 0.000 0.080
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.1205 0.8312 0.956 0.000 0.004 0.000 0.040
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.2377 0.8018 0.872 0.000 0.000 0.000 0.128
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.5324 0.4512 0.668 0.128 0.000 0.000 0.204
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.2719 0.7883 0.884 0.048 0.000 0.000 0.068
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.2771 0.8504 0.000 0.860 0.128 0.000 0.012
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.9751 0.000 0.000 0.000 1.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.1410 0.8337 0.940 0.000 0.000 0.000 0.060
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.2773 0.8596 0.020 0.868 0.112 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.3648 0.8424 0.044 0.840 0.096 0.000 0.020
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.2773 0.7724 0.836 0.000 0.000 0.000 0.164
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.3730 0.6118 0.712 0.000 0.000 0.000 0.288
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.9751 0.000 0.000 0.000 1.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0451 0.9471 0.000 0.004 0.988 0.008 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.3130 0.7212 0.144 0.000 0.824 0.000 0.028 0.004
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.3159 0.7542 0.832 0.000 0.000 0.000 0.100 0.068
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.3033 0.8181 0.000 0.020 0.136 0.836 0.004 0.004
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.1719 0.7996 0.924 0.000 0.000 0.000 0.016 0.060
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.1141 0.7976 0.948 0.000 0.000 0.000 0.052 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.3579 0.7774 0.020 0.844 0.044 0.000 0.052 0.040
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.4822 0.7239 0.024 0.724 0.020 0.000 0.052 0.180
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.6341 0.4691 0.024 0.560 0.040 0.000 0.268 0.108
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.3703 0.6454 0.004 0.688 0.000 0.000 0.004 0.304
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.6635 0.1345 0.024 0.420 0.040 0.000 0.408 0.108
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0146 0.9488 0.000 0.000 0.996 0.000 0.004 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.3725 0.5293 0.676 0.000 0.000 0.000 0.316 0.008
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.4742 0.2808 0.612 0.004 0.000 0.000 0.056 0.328
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0146 0.9488 0.000 0.000 0.996 0.000 0.004 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 5 0.6269 0.3559 0.036 0.236 0.032 0.000 0.588 0.108
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.4345 0.7183 0.020 0.724 0.012 0.000 0.020 0.224
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.1327 0.7970 0.936 0.000 0.000 0.000 0.064 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.9745 0.000 0.000 0.000 1.000 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.9477 0.000 0.000 1.000 0.000 0.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.5070 0.2389 0.576 0.000 0.000 0.000 0.096 0.328
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.1594 0.8028 0.932 0.000 0.000 0.000 0.016 0.052
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.2212 0.7843 0.880 0.000 0.000 0.000 0.112 0.008
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.5189 0.7310 0.024 0.716 0.032 0.000 0.092 0.136
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.3130 0.7212 0.144 0.000 0.824 0.000 0.028 0.004
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 5 0.5891 0.3829 0.040 0.208 0.008 0.000 0.616 0.128
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.3158 0.6938 0.812 0.020 0.000 0.000 0.004 0.164
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.1349 0.9290 0.000 0.000 0.940 0.056 0.000 0.004
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.1003 0.8094 0.000 0.964 0.016 0.000 0.000 0.020
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.4377 0.7783 0.028 0.788 0.040 0.000 0.044 0.100
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.1168 0.8097 0.000 0.956 0.028 0.000 0.000 0.016
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.1219 0.7968 0.948 0.000 0.000 0.000 0.004 0.048
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.2973 0.7819 0.004 0.860 0.004 0.000 0.064 0.068
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.1141 0.7990 0.000 0.948 0.000 0.000 0.000 0.052
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.1845 0.8137 0.000 0.920 0.028 0.000 0.000 0.052
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0146 0.9488 0.000 0.000 0.996 0.000 0.004 0.000
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#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0146 0.9488 0.000 0.000 0.996 0.000 0.004 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0146 0.9488 0.000 0.000 0.996 0.000 0.004 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.5727 0.4892 0.000 0.596 0.260 0.004 0.028 0.112
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.6183 -0.0225 0.524 0.044 0.000 0.000 0.136 0.296
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.4438 0.5541 0.324 0.000 0.020 0.000 0.640 0.016
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 5 0.4438 0.5541 0.324 0.000 0.020 0.000 0.640 0.016
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.3586 0.6756 0.004 0.712 0.000 0.000 0.004 0.280
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.1411 0.7939 0.936 0.000 0.000 0.000 0.004 0.060
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.2738 0.7327 0.820 0.000 0.000 0.000 0.176 0.004
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.9745 0.000 0.000 0.000 1.000 0.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.2982 0.7119 0.820 0.012 0.000 0.000 0.004 0.164
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.5990 0.2431 0.568 0.032 0.000 0.000 0.180 0.220
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.1196 0.7992 0.952 0.000 0.000 0.000 0.008 0.040
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0993 0.8064 0.964 0.000 0.000 0.000 0.024 0.012
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.1719 0.7996 0.924 0.000 0.000 0.000 0.016 0.060
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.1267 0.7924 0.940 0.000 0.000 0.000 0.000 0.060
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.2135 0.7705 0.872 0.000 0.000 0.000 0.128 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.1471 0.7994 0.932 0.000 0.000 0.000 0.064 0.004
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.3037 0.7236 0.808 0.000 0.000 0.000 0.176 0.016
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.5942 0.2665 0.576 0.032 0.000 0.000 0.176 0.216
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.2755 0.7304 0.844 0.012 0.000 0.000 0.004 0.140
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.1794 0.8003 0.000 0.924 0.036 0.000 0.000 0.040
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.9745 0.000 0.000 0.000 1.000 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.2255 0.7918 0.892 0.000 0.000 0.000 0.080 0.028
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.2770 0.8100 0.016 0.884 0.040 0.000 0.008 0.052
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.3594 0.7951 0.024 0.844 0.040 0.000 0.040 0.052
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.3841 0.6323 0.716 0.000 0.000 0.000 0.256 0.028
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.4494 0.2373 0.544 0.000 0.000 0.000 0.424 0.032
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.9745 0.000 0.000 0.000 1.000 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0260 0.9470 0.000 0.000 0.992 0.008 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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.572 0.908 0.916 0.4585 0.500 0.500
#> 3 3 0.855 0.946 0.932 0.3379 0.858 0.720
#> 4 4 0.815 0.461 0.715 0.1333 0.881 0.687
#> 5 5 0.783 0.845 0.863 0.0894 0.857 0.565
#> 6 6 0.786 0.780 0.817 0.0564 0.938 0.753
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.9129 0.766 0.328 0.672
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.997 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.0000 0.817 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.997 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.997 1.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.8386 0.843 0.268 0.732
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.8386 0.843 0.268 0.732
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.8386 0.843 0.268 0.732
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.8386 0.843 0.268 0.732
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.8386 0.843 0.268 0.732
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.0376 0.819 0.004 0.996
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.997 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.997 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.0376 0.819 0.004 0.996
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.8386 0.843 0.268 0.732
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.8386 0.843 0.268 0.732
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.997 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0376 0.819 0.004 0.996
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 2 0.0376 0.819 0.004 0.996
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.997 1.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.997 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.997 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.8386 0.843 0.268 0.732
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 2 0.5737 0.734 0.136 0.864
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.8386 0.843 0.268 0.732
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.997 1.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.0376 0.819 0.004 0.996
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.8386 0.843 0.268 0.732
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.8386 0.843 0.268 0.732
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.8386 0.843 0.268 0.732
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.997 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.8386 0.843 0.268 0.732
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.8386 0.843 0.268 0.732
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.8386 0.843 0.268 0.732
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.0376 0.819 0.004 0.996
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.997 1.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.997 1.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.997 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0376 0.819 0.004 0.996
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.997 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.8386 0.843 0.268 0.732
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.0376 0.819 0.004 0.996
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.997 1.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.997 1.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.8386 0.843 0.268 0.732
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.997 1.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.997 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.8386 0.843 0.268 0.732
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.0376 0.819 0.004 0.996
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.0376 0.819 0.004 0.996
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.997 1.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.997 1.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.8443 0.840 0.272 0.728
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.997 1.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.997 1.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.8386 0.843 0.268 0.732
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.0376 0.819 0.004 0.996
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.997 1.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 2 0.0376 0.819 0.004 0.996
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.8386 0.843 0.268 0.732
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.8443 0.840 0.272 0.728
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.997 1.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.0000 0.997 1.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.0376 0.819 0.004 0.996
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.997 1.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.997 1.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.997 1.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.0000 0.997 1.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.0376 0.819 0.004 0.996
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.997 1.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.8386 0.843 0.268 0.732
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.997 1.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 2 0.0376 0.819 0.004 0.996
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.997 1.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.8386 0.843 0.268 0.732
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.997 1.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.4690 0.855 0.900 0.100
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 2 0.8443 0.840 0.272 0.728
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.0000 0.997 1.000 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 2 0.0376 0.819 0.004 0.996
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.997 1.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.8386 0.843 0.268 0.732
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.997 1.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.997 1.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 2 0.0376 0.819 0.004 0.996
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.997 1.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 2 0.0376 0.819 0.004 0.996
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.8386 0.843 0.268 0.732
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.997 1.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.997 1.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.997 1.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.997 1.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.0376 0.819 0.004 0.996
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.0376 0.819 0.004 0.996
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.997 1.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.8386 0.843 0.268 0.732
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.997 1.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.997 1.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.8386 0.843 0.268 0.732
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 2 0.0376 0.819 0.004 0.996
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#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.997 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.997 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.997 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.997 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.997 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.8386 0.843 0.268 0.732
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0376 0.819 0.004 0.996
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.997 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.8386 0.843 0.268 0.732
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.8386 0.843 0.268 0.732
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.997 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.997 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.0376 0.819 0.004 0.996
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.0376 0.819 0.004 0.996
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.7591 0.52529 0.632 0.068 0.300
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.97374 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.4504 0.90265 0.000 0.196 0.804
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.97374 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.97374 1.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.1753 0.97906 0.048 0.952 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.1989 0.97505 0.048 0.948 0.004
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.1753 0.97906 0.048 0.952 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.1753 0.97906 0.048 0.952 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.1753 0.97906 0.048 0.952 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.3340 0.93652 0.000 0.120 0.880
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.2356 0.95044 0.928 0.000 0.072
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.97374 1.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.3340 0.93652 0.000 0.120 0.880
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.1753 0.97906 0.048 0.952 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.1753 0.97906 0.048 0.952 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0892 0.96894 0.980 0.000 0.020
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.4654 0.89663 0.000 0.208 0.792
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.3340 0.93652 0.000 0.120 0.880
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.97374 1.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.97374 1.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.2261 0.95198 0.932 0.000 0.068
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.1753 0.97906 0.048 0.952 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.3349 0.92754 0.004 0.108 0.888
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.3484 0.92572 0.048 0.904 0.048
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.97374 1.000 0.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.3340 0.93652 0.000 0.120 0.880
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.1753 0.97906 0.048 0.952 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.1753 0.97906 0.048 0.952 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.1753 0.97906 0.048 0.952 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.97374 1.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.1753 0.97906 0.048 0.952 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.1753 0.97906 0.048 0.952 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.1753 0.97906 0.048 0.952 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.3340 0.93652 0.000 0.120 0.880
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.2356 0.95044 0.928 0.000 0.072
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.97374 1.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.97374 1.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.4654 0.89663 0.000 0.208 0.792
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.2261 0.95198 0.932 0.000 0.068
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.1753 0.97906 0.048 0.952 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.3340 0.93652 0.000 0.120 0.880
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.97374 1.000 0.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.2356 0.95044 0.928 0.000 0.072
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.1753 0.97906 0.048 0.952 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.2261 0.95198 0.932 0.000 0.068
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.97374 1.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.1753 0.97906 0.048 0.952 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.3340 0.93652 0.000 0.120 0.880
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.3340 0.93652 0.000 0.120 0.880
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.2356 0.95036 0.928 0.000 0.072
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.97374 1.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.1753 0.97906 0.048 0.952 0.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.2356 0.95044 0.928 0.000 0.072
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.97374 1.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.1753 0.97906 0.048 0.952 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 3 0.4654 0.89663 0.000 0.208 0.792
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.97374 1.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.3340 0.93652 0.000 0.120 0.880
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.3375 0.93036 0.048 0.908 0.044
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.5757 0.82894 0.056 0.792 0.152
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.97374 1.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.2356 0.95044 0.928 0.000 0.072
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.4605 0.89798 0.000 0.204 0.796
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.2356 0.95044 0.928 0.000 0.072
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.97374 1.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.97374 1.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.2356 0.95044 0.928 0.000 0.072
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 3 0.4654 0.89663 0.000 0.208 0.792
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.97374 1.000 0.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.1753 0.97906 0.048 0.952 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.97374 1.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.3340 0.93652 0.000 0.120 0.880
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.97374 1.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.1753 0.97906 0.048 0.952 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.97374 1.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.7433 0.56479 0.660 0.268 0.072
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 2 0.5667 0.79590 0.140 0.800 0.060
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.2356 0.95044 0.928 0.000 0.072
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.3340 0.93652 0.000 0.120 0.880
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.97374 1.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.1753 0.97906 0.048 0.952 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.97374 1.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.97374 1.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.3340 0.93652 0.000 0.120 0.880
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.97374 1.000 0.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 3 0.4654 0.89663 0.000 0.208 0.792
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.1753 0.97906 0.048 0.952 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.1031 0.96798 0.976 0.000 0.024
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.97374 1.000 0.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0892 0.96894 0.980 0.000 0.020
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.97374 1.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 3 0.4654 0.89663 0.000 0.208 0.792
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 3 0.4654 0.89663 0.000 0.208 0.792
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0424 0.97213 0.992 0.000 0.008
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.1989 0.97505 0.048 0.948 0.004
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.97374 1.000 0.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.2356 0.95044 0.928 0.000 0.072
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.1753 0.97906 0.048 0.952 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.3340 0.93652 0.000 0.120 0.880
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.97374 1.000 0.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.97374 1.000 0.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.1753 0.97906 0.048 0.952 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.97374 1.000 0.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.3340 0.93652 0.000 0.120 0.880
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.97374 1.000 0.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.1753 0.97906 0.048 0.952 0.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.3484 0.92572 0.048 0.904 0.048
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.1753 0.97906 0.048 0.952 0.000
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 2 0.7462 0.27980 0.048 0.600 0.352
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.1753 0.97906 0.048 0.952 0.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.2356 0.95044 0.928 0.000 0.072
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.1753 0.97906 0.048 0.952 0.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.2165 0.95361 0.936 0.000 0.064
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.97374 1.000 0.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.1753 0.97906 0.048 0.952 0.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.97374 1.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.1989 0.97505 0.048 0.948 0.004
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.2356 0.95044 0.928 0.000 0.072
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.1753 0.97906 0.048 0.952 0.000
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.3340 0.93652 0.000 0.120 0.880
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.0000 0.97374 1.000 0.000 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0000 0.97374 1.000 0.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.97374 1.000 0.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 2 0.5901 0.72898 0.048 0.776 0.176
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.1753 0.97906 0.048 0.952 0.000
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 3 0.3340 0.93652 0.000 0.120 0.880
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.97374 1.000 0.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.1753 0.97906 0.048 0.952 0.000
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.97374 1.000 0.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 3 0.3340 0.93652 0.000 0.120 0.880
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 3 0.4654 0.89663 0.000 0.208 0.792
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.1753 0.97906 0.048 0.952 0.000
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.1753 0.97906 0.048 0.952 0.000
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.0000 0.97374 1.000 0.000 0.000
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 3 0.3340 0.93652 0.000 0.120 0.880
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 1 0.2356 0.95044 0.928 0.000 0.072
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.1753 0.97906 0.048 0.952 0.000
#> 4C15BE7F-B855-4670-9E38-0A626527D981 3 0.3340 0.93652 0.000 0.120 0.880
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.1753 0.97906 0.048 0.952 0.000
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.0424 0.97213 0.992 0.000 0.008
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 2 0.1753 0.97906 0.048 0.952 0.000
#> 0CE75D6A-B796-4982-9405-1602F9468945 1 0.2261 0.95198 0.932 0.000 0.068
#> EAB94BCC-7CF2-462C-87A2-7B464BADA4AC 1 0.0000 0.97374 1.000 0.000 0.000
#> 563EB6A9-F589-49A8-89B2-2F1185C65C4E 1 0.0000 0.97374 1.000 0.000 0.000
#> 53DA4154-2ACE-4D7F-98AD-257C8B986DA2 1 0.0892 0.96897 0.980 0.000 0.020
#> B2EA5A29-4642-4364-A733-C30E5A9FA38E 2 0.1753 0.97906 0.048 0.952 0.000
#> 38078B54-6BBA-4696-BB22-9D5FC49E631D 1 0.2356 0.95044 0.928 0.000 0.072
#> F5A64B5A-54BA-41A1-8CA2-75D27C5680D3 1 0.0000 0.97374 1.000 0.000 0.000
#> 1506AC5C-E9D2-469A-8B74-AD6FDA81031B 1 0.2356 0.95044 0.928 0.000 0.072
#> D8E31979-B4A1-4799-A6FE-8B2286290F53 2 0.1753 0.97906 0.048 0.952 0.000
#> 783FA571-A31A-4852-855B-4E8009A9C8F1 1 0.0000 0.97374 1.000 0.000 0.000
#> D8758939-ACDC-444E-A980-5AC342E107A8 1 0.0000 0.97374 1.000 0.000 0.000
#> D7D4461C-60DA-4EE9-80FC-0D98CB87BA8F 2 0.3589 0.92092 0.048 0.900 0.052
#> 5C8E4F70-8C40-4036-B69A-11F9D0BC6243 1 0.0000 0.97374 1.000 0.000 0.000
#> 97E25CCB-1D3A-435A-9273-75DD8B25610A 1 0.0000 0.97374 1.000 0.000 0.000
#> 59B0A79B-00CA-480A-A7EC-F3EA73B1465A 3 0.3340 0.93652 0.000 0.120 0.880
#> 06E96222-F5E3-4DB1-A6CD-1889B8D54C6F 3 0.3340 0.93652 0.000 0.120 0.880
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#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 3 0.3340 0.93652 0.000 0.120 0.880
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#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.1753 0.97906 0.048 0.952 0.000
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 3 0.4654 0.89663 0.000 0.208 0.792
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.1753 0.97906 0.048 0.952 0.000
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#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.1753 0.97906 0.048 0.952 0.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.3340 0.93652 0.000 0.120 0.880
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.1753 0.97906 0.048 0.952 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.3340 0.93652 0.000 0.120 0.880
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.2356 0.95044 0.928 0.000 0.072
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.1753 0.97906 0.048 0.952 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.97374 1.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.2356 0.89449 0.000 0.072 0.928
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.2356 0.95044 0.928 0.000 0.072
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.2356 0.95044 0.928 0.000 0.072
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.1753 0.97906 0.048 0.952 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.6850 0.67844 0.208 0.720 0.072
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.3340 0.93652 0.000 0.120 0.880
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.1753 0.97906 0.048 0.952 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.97374 1.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.97374 1.000 0.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.97374 1.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.97374 1.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.97374 1.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 3 0.4654 0.89663 0.000 0.208 0.792
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.97374 1.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.3412 0.90379 0.000 0.124 0.876
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.97374 1.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.1753 0.97906 0.048 0.952 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.97374 1.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.1753 0.97906 0.048 0.952 0.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.3340 0.93652 0.000 0.120 0.880
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.1753 0.97906 0.048 0.952 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.1753 0.97906 0.048 0.952 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.1753 0.97906 0.048 0.952 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.97374 1.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.3340 0.93652 0.000 0.120 0.880
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.97374 1.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.2261 0.95198 0.932 0.000 0.068
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.97374 1.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.97374 1.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.1753 0.97906 0.048 0.952 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.1753 0.97906 0.048 0.952 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.4654 0.89663 0.000 0.208 0.792
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.0237 0.97280 0.996 0.000 0.004
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.1753 0.97906 0.048 0.952 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.97374 1.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.97374 1.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.1753 0.97906 0.048 0.952 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.1753 0.97906 0.048 0.952 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.1753 0.97906 0.048 0.952 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.1753 0.97906 0.048 0.952 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.97374 1.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.97374 1.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.2356 0.95044 0.928 0.000 0.072
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.97374 1.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0424 0.97213 0.992 0.000 0.008
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.97374 1.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.2356 0.95044 0.928 0.000 0.072
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.3340 0.93652 0.000 0.120 0.880
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.1753 0.97906 0.048 0.952 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.1753 0.97906 0.048 0.952 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.6804 0.69071 0.724 0.204 0.072
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.97374 1.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.4654 0.89663 0.000 0.208 0.792
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.3340 0.93652 0.000 0.120 0.880
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.1753 0.97906 0.048 0.952 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.97374 1.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.2356 0.95044 0.928 0.000 0.072
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.2356 0.95044 0.928 0.000 0.072
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.4654 0.89663 0.000 0.208 0.792
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.3340 0.93652 0.000 0.120 0.880
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.3340 0.93652 0.000 0.120 0.880
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.1753 0.97906 0.048 0.952 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0592 0.97102 0.988 0.000 0.012
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.2356 0.95044 0.928 0.000 0.072
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.4842 0.77958 0.776 0.000 0.224
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.1753 0.97906 0.048 0.952 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.97374 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.2356 0.95044 0.928 0.000 0.072
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.4654 0.89663 0.000 0.208 0.792
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.97374 1.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.2356 0.95044 0.928 0.000 0.072
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.97374 1.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0424 0.97213 0.992 0.000 0.008
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.97374 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.97374 1.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0424 0.97213 0.992 0.000 0.008
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.97374 1.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.2356 0.95044 0.928 0.000 0.072
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.2356 0.95044 0.928 0.000 0.072
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.97374 1.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.1753 0.97906 0.048 0.952 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.4654 0.89663 0.000 0.208 0.792
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.2165 0.95370 0.936 0.000 0.064
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.1753 0.97906 0.048 0.952 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.1753 0.97906 0.048 0.952 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.2356 0.95044 0.928 0.000 0.072
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.2356 0.95044 0.928 0.000 0.072
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.4654 0.89663 0.000 0.208 0.792
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.3340 0.93652 0.000 0.120 0.880
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.6783 -0.2904 0.508 0.020 0.052 0.420
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 4 0.5000 0.9442 0.500 0.000 0.000 0.500
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.4100 0.7566 0.000 0.076 0.832 0.092
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 4 0.5000 0.9442 0.500 0.000 0.000 0.500
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#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0188 0.9653 0.004 0.996 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0817 0.3788 0.976 0.000 0.000 0.024
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0469 0.3861 0.988 0.000 0.000 0.012
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.1716 0.7381 0.000 0.064 0.936 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.5708 0.8473 0.000 0.028 0.556 0.416
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 5 0.6369 0.2571 0.024 0.000 0.368 0.096 0.512
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.5266 0.6951 0.000 0.020 0.468 0.496 0.016
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.1943 0.8878 0.924 0.000 0.000 0.056 0.020
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0510 0.8750 0.000 0.984 0.000 0.016 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.3953 0.8361 0.000 0.784 0.000 0.168 0.048
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.5045 0.7915 0.000 0.696 0.000 0.196 0.108
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.5305 0.7780 0.000 0.672 0.000 0.196 0.132
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.6329 0.6430 0.000 0.528 0.000 0.240 0.232
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0290 0.9495 0.000 0.008 0.992 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 5 0.4431 0.8015 0.216 0.000 0.000 0.052 0.732
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.1843 0.9011 0.932 0.000 0.008 0.052 0.008
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0290 0.9495 0.000 0.008 0.992 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.5752 0.7364 0.000 0.612 0.000 0.240 0.148
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.4752 0.8061 0.000 0.724 0.000 0.184 0.092
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.4303 0.6724 0.752 0.000 0.000 0.056 0.192
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.4524 0.9705 0.000 0.020 0.336 0.644 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0898 0.9476 0.000 0.008 0.972 0.000 0.020
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0510 0.9235 0.984 0.000 0.000 0.016 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 5 0.5345 0.4877 0.404 0.000 0.000 0.056 0.540
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.5305 0.7780 0.000 0.672 0.000 0.196 0.132
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.2930 0.8028 0.008 0.008 0.884 0.076 0.024
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.6395 0.3587 0.000 0.424 0.000 0.168 0.408
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.1251 0.9068 0.956 0.000 0.000 0.008 0.036
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.1168 0.9454 0.000 0.008 0.960 0.000 0.032
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0162 0.8775 0.000 0.996 0.000 0.004 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.2753 0.8557 0.000 0.856 0.000 0.136 0.008
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0162 0.8775 0.000 0.996 0.000 0.004 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.8778 0.000 1.000 0.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.8778 0.000 1.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.8778 0.000 1.000 0.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0290 0.9495 0.000 0.008 0.992 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.2595 0.7833 0.080 0.000 0.000 0.032 0.888
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.2589 0.8804 0.900 0.000 0.008 0.044 0.048
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.1843 0.9011 0.932 0.000 0.008 0.052 0.008
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.4524 0.9705 0.000 0.020 0.336 0.644 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 5 0.4907 0.7336 0.280 0.000 0.000 0.056 0.664
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.1121 0.8731 0.000 0.956 0.000 0.044 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0290 0.9495 0.000 0.008 0.992 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.1913 0.8993 0.932 0.000 0.008 0.044 0.016
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.2270 0.7831 0.076 0.000 0.000 0.020 0.904
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.2753 0.8557 0.000 0.856 0.000 0.136 0.008
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 5 0.5425 0.7370 0.268 0.000 0.000 0.100 0.632
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0290 0.8774 0.000 0.992 0.000 0.008 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0290 0.9495 0.000 0.008 0.992 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.1331 0.9428 0.000 0.008 0.952 0.000 0.040
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 5 0.5185 0.7666 0.228 0.000 0.000 0.100 0.672
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.5375 0.7730 0.000 0.664 0.000 0.200 0.136
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.3488 0.8294 0.168 0.000 0.000 0.024 0.808
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0162 0.9252 0.996 0.000 0.000 0.004 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.4752 0.8061 0.000 0.724 0.000 0.184 0.092
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.4524 0.9705 0.000 0.020 0.336 0.644 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0290 0.9241 0.992 0.000 0.000 0.008 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.1168 0.9454 0.000 0.008 0.960 0.000 0.032
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 5 0.6430 -0.1437 0.000 0.328 0.000 0.192 0.480
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 5 0.2864 0.6330 0.000 0.012 0.000 0.136 0.852
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.1205 0.9113 0.956 0.000 0.004 0.040 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 5 0.3145 0.7631 0.060 0.000 0.008 0.064 0.868
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.4524 0.9705 0.000 0.020 0.336 0.644 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 5 0.3812 0.8274 0.168 0.000 0.004 0.032 0.796
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.1408 0.9071 0.948 0.000 0.008 0.044 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 5 0.3357 0.7381 0.048 0.000 0.008 0.092 0.852
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.4524 0.9705 0.000 0.020 0.336 0.644 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.2798 0.8542 0.888 0.000 0.008 0.044 0.060
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.8778 0.000 1.000 0.000 0.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.1331 0.9428 0.000 0.008 0.952 0.000 0.040
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.5197 0.7856 0.000 0.680 0.000 0.204 0.116
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 5 0.2694 0.7218 0.032 0.008 0.000 0.068 0.892
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 5 0.3085 0.6411 0.000 0.032 0.000 0.116 0.852
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 5 0.2331 0.7863 0.080 0.000 0.000 0.020 0.900
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0451 0.9491 0.000 0.008 0.988 0.000 0.004
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0609 0.9203 0.980 0.000 0.000 0.020 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0162 0.8775 0.000 0.996 0.000 0.004 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.2729 0.8571 0.884 0.000 0.000 0.056 0.060
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0290 0.9495 0.000 0.008 0.992 0.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.3215 0.8286 0.852 0.000 0.000 0.056 0.092
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.4524 0.9705 0.000 0.020 0.336 0.644 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.2971 0.8509 0.000 0.836 0.000 0.156 0.008
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.5393 -0.1611 0.504 0.000 0.000 0.056 0.440
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0162 0.9252 0.996 0.000 0.000 0.004 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.5010 0.5149 0.676 0.000 0.000 0.076 0.248
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0162 0.9252 0.996 0.000 0.000 0.004 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.4524 0.9705 0.000 0.020 0.336 0.644 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.4675 0.9655 0.000 0.020 0.336 0.640 0.004
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.3159 0.8314 0.856 0.000 0.000 0.056 0.088
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.6369 0.6328 0.000 0.520 0.000 0.240 0.240
#> E3671E10-825D-499B-B949-D5033855C744 1 0.2104 0.8960 0.924 0.000 0.008 0.044 0.024
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 5 0.4649 0.7977 0.220 0.000 0.000 0.064 0.716
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.8778 0.000 1.000 0.000 0.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0290 0.9495 0.000 0.008 0.992 0.000 0.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0290 0.9243 0.992 0.000 0.000 0.008 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.1195 0.9116 0.960 0.000 0.000 0.012 0.028
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0794 0.8756 0.000 0.972 0.000 0.028 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.1026 0.9173 0.968 0.000 0.004 0.024 0.004
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0290 0.9495 0.000 0.008 0.992 0.000 0.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.2729 0.8567 0.884 0.000 0.000 0.056 0.060
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0162 0.8775 0.000 0.996 0.000 0.004 0.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.6107 0.7115 0.000 0.588 0.004 0.208 0.200
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.5769 0.7509 0.000 0.632 0.004 0.208 0.156
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 2 0.7249 0.6379 0.000 0.524 0.076 0.248 0.152
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0000 0.8778 0.000 1.000 0.000 0.000 0.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 5 0.2624 0.8132 0.116 0.000 0.000 0.012 0.872
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0290 0.8774 0.000 0.992 0.000 0.008 0.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.5547 -0.0575 0.536 0.000 0.008 0.052 0.404
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.1408 0.9071 0.948 0.000 0.008 0.044 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.0290 0.8774 0.000 0.992 0.000 0.008 0.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0703 0.9187 0.976 0.000 0.000 0.024 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.6440 0.6643 0.000 0.548 0.008 0.224 0.220
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 5 0.3242 0.8303 0.172 0.000 0.000 0.012 0.816
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.5305 0.7780 0.000 0.672 0.000 0.196 0.132
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.0290 0.9495 0.000 0.008 0.992 0.000 0.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.0162 0.9250 0.996 0.000 0.000 0.004 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.1408 0.9071 0.948 0.000 0.008 0.044 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 2 0.6596 0.7188 0.000 0.604 0.056 0.204 0.136
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.0000 0.8778 0.000 1.000 0.000 0.000 0.000
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 3 0.0290 0.9495 0.000 0.008 0.992 0.000 0.000
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.0000 0.8778 0.000 1.000 0.000 0.000 0.000
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.2209 0.8794 0.912 0.000 0.000 0.056 0.032
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 3 0.1331 0.9428 0.000 0.008 0.952 0.000 0.040
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 4 0.4524 0.9705 0.000 0.020 0.336 0.644 0.000
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.3919 0.8298 0.000 0.776 0.000 0.188 0.036
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.0162 0.8775 0.000 0.996 0.000 0.004 0.000
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.0290 0.9243 0.992 0.000 0.000 0.008 0.000
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 3 0.0290 0.9495 0.000 0.008 0.992 0.000 0.000
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 5 0.2945 0.7615 0.056 0.000 0.008 0.056 0.880
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.0000 0.8778 0.000 1.000 0.000 0.000 0.000
#> 4C15BE7F-B855-4670-9E38-0A626527D981 3 0.0290 0.9495 0.000 0.008 0.992 0.000 0.000
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.0290 0.8774 0.000 0.992 0.000 0.008 0.000
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.3226 0.8304 0.852 0.000 0.000 0.060 0.088
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 2 0.2753 0.8557 0.000 0.856 0.000 0.136 0.008
#> 0CE75D6A-B796-4982-9405-1602F9468945 5 0.4800 0.7472 0.272 0.000 0.000 0.052 0.676
#> EAB94BCC-7CF2-462C-87A2-7B464BADA4AC 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> 563EB6A9-F589-49A8-89B2-2F1185C65C4E 1 0.0404 0.9229 0.988 0.000 0.000 0.000 0.012
#> 53DA4154-2ACE-4D7F-98AD-257C8B986DA2 1 0.4854 0.5090 0.680 0.000 0.000 0.060 0.260
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#> C041F9A7-625B-4249-B042-E938061FC103 5 0.3857 0.8178 0.132 0.000 0.008 0.048 0.812
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.1331 0.9428 0.000 0.008 0.952 0.000 0.040
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.5305 0.7780 0.000 0.672 0.000 0.196 0.132
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.8778 0.000 1.000 0.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.2727 0.6937 0.020 0.012 0.000 0.080 0.888
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.4524 0.9705 0.000 0.020 0.336 0.644 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.1331 0.9428 0.000 0.008 0.952 0.000 0.040
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.8778 0.000 1.000 0.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.1569 0.9056 0.944 0.000 0.008 0.044 0.004
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.2813 0.8299 0.168 0.000 0.000 0.000 0.832
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.3132 0.8303 0.172 0.000 0.000 0.008 0.820
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.4524 0.9705 0.000 0.020 0.336 0.644 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0290 0.9495 0.000 0.008 0.992 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0290 0.9495 0.000 0.008 0.992 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.3608 0.8372 0.000 0.824 0.000 0.112 0.064
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.5755 -0.0772 0.484 0.000 0.008 0.064 0.444
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.4982 0.7999 0.200 0.000 0.000 0.100 0.700
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 5 0.5211 0.7625 0.232 0.000 0.000 0.100 0.668
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.4136 0.8249 0.000 0.764 0.000 0.188 0.048
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.4028 0.8253 0.176 0.000 0.000 0.048 0.776
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.4524 0.9705 0.000 0.020 0.336 0.644 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.1492 0.9085 0.948 0.000 0.004 0.040 0.008
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.3807 0.8074 0.116 0.000 0.008 0.056 0.820
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.3229 0.8474 0.860 0.000 0.008 0.044 0.088
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9257 1.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.2859 0.8502 0.876 0.000 0.000 0.056 0.068
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.1341 0.9016 0.944 0.000 0.000 0.056 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.4480 0.8138 0.196 0.000 0.008 0.048 0.748
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.4122 0.8196 0.164 0.000 0.008 0.044 0.784
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0290 0.9243 0.992 0.000 0.000 0.008 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.8778 0.000 1.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.4524 0.9705 0.000 0.020 0.336 0.644 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.5253 0.6389 0.340 0.000 0.008 0.044 0.608
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0290 0.8774 0.000 0.992 0.000 0.008 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0290 0.8774 0.000 0.992 0.000 0.008 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.4370 0.8131 0.200 0.000 0.000 0.056 0.744
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.2561 0.8262 0.144 0.000 0.000 0.000 0.856
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.4524 0.9705 0.000 0.020 0.336 0.644 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.1168 0.9454 0.000 0.008 0.960 0.000 0.032
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 5 0.5561 0.4418 0.000 0.024 0.256 0.104 0.612 0.004
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.8701 1.000 0.000 0.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.6078 -0.7099 0.000 0.276 0.388 0.336 0.000 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0146 0.8700 0.996 0.000 0.000 0.004 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.2378 0.7961 0.848 0.000 0.000 0.000 0.152 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.4690 0.9326 0.000 0.552 0.000 0.048 0.000 0.400
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 6 0.2696 0.5868 0.000 0.116 0.000 0.028 0.000 0.856
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 6 0.0806 0.7217 0.000 0.008 0.000 0.020 0.000 0.972
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 6 0.0291 0.7254 0.000 0.004 0.000 0.000 0.004 0.992
#> 6F178361-2A14-4245-8A35-13A0174231E4 6 0.4628 0.5657 0.000 0.048 0.000 0.212 0.032 0.708
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.9127 0.000 0.000 1.000 0.000 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 5 0.1075 0.7659 0.048 0.000 0.000 0.000 0.952 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.3420 0.7712 0.776 0.008 0.000 0.204 0.012 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.9127 0.000 0.000 1.000 0.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 6 0.3473 0.6259 0.000 0.048 0.000 0.144 0.004 0.804
#> 19342512-D282-4C35-B9A9-3A1180D594F4 6 0.0547 0.7185 0.000 0.020 0.000 0.000 0.000 0.980
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.3866 0.2438 0.516 0.000 0.000 0.000 0.484 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.6007 0.9997 0.000 0.356 0.240 0.404 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.1812 0.9064 0.000 0.000 0.912 0.080 0.008 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.2611 0.8306 0.864 0.008 0.000 0.116 0.012 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0260 0.8697 0.992 0.000 0.000 0.008 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 5 0.2883 0.6252 0.212 0.000 0.000 0.000 0.788 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 6 0.0291 0.7258 0.000 0.004 0.000 0.000 0.004 0.992
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.2939 0.7793 0.000 0.016 0.868 0.036 0.076 0.004
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 6 0.6731 0.3918 0.000 0.100 0.000 0.244 0.152 0.504
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.1003 0.8629 0.964 0.000 0.000 0.016 0.020 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.1918 0.9053 0.000 0.000 0.904 0.088 0.008 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.4018 0.9857 0.000 0.580 0.000 0.008 0.000 0.412
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 6 0.3440 0.3985 0.000 0.196 0.000 0.028 0.000 0.776
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.3915 0.9858 0.000 0.584 0.000 0.004 0.000 0.412
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.8701 1.000 0.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.4410 0.9697 0.000 0.560 0.000 0.028 0.000 0.412
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.3915 0.9865 0.000 0.584 0.000 0.004 0.000 0.412
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.3782 0.9872 0.000 0.588 0.000 0.000 0.000 0.412
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.9127 0.000 0.000 1.000 0.000 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.4069 0.7398 0.000 0.036 0.000 0.192 0.752 0.020
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.4860 0.6431 0.656 0.000 0.000 0.216 0.128 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.3479 0.7666 0.768 0.008 0.000 0.212 0.012 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.6007 0.9997 0.000 0.356 0.240 0.404 0.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 5 0.1910 0.7380 0.108 0.000 0.000 0.000 0.892 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 6 0.4057 -0.6409 0.000 0.436 0.000 0.008 0.000 0.556
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.9127 0.000 0.000 1.000 0.000 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.3133 0.7664 0.780 0.000 0.000 0.212 0.008 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.3181 0.7715 0.000 0.012 0.000 0.144 0.824 0.020
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 6 0.3409 0.4110 0.000 0.192 0.000 0.028 0.000 0.780
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 5 0.4543 0.6960 0.108 0.016 0.000 0.144 0.732 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.8701 1.000 0.000 0.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.4475 0.9648 0.000 0.556 0.000 0.032 0.000 0.412
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.9127 0.000 0.000 1.000 0.000 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.1918 0.9053 0.000 0.000 0.904 0.088 0.008 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 5 0.4787 0.6943 0.084 0.032 0.000 0.152 0.728 0.004
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0260 0.8697 0.992 0.000 0.000 0.008 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 6 0.0508 0.7252 0.000 0.000 0.000 0.012 0.004 0.984
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.2768 0.7821 0.012 0.000 0.000 0.156 0.832 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0260 0.8697 0.992 0.000 0.000 0.008 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 6 0.0632 0.7164 0.000 0.024 0.000 0.000 0.000 0.976
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.6007 0.9997 0.000 0.356 0.240 0.404 0.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0790 0.8607 0.968 0.000 0.000 0.000 0.032 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.1918 0.9053 0.000 0.000 0.904 0.088 0.008 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 6 0.6336 0.3777 0.000 0.060 0.000 0.264 0.144 0.532
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 5 0.6700 0.4089 0.000 0.048 0.000 0.232 0.444 0.276
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.2092 0.8251 0.876 0.000 0.000 0.124 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 5 0.4738 0.7269 0.000 0.012 0.000 0.268 0.660 0.060
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.6007 0.9997 0.000 0.356 0.240 0.404 0.000 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 5 0.3230 0.7739 0.012 0.000 0.000 0.212 0.776 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.8701 1.000 0.000 0.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.2697 0.7864 0.812 0.000 0.000 0.188 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 5 0.5001 0.6835 0.000 0.000 0.000 0.308 0.596 0.096
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.6007 0.9997 0.000 0.356 0.240 0.404 0.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.3292 0.7701 0.784 0.000 0.000 0.200 0.008 0.008
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.3782 0.9872 0.000 0.588 0.000 0.000 0.000 0.412
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.8701 1.000 0.000 0.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.1918 0.9053 0.000 0.000 0.904 0.088 0.008 0.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0260 0.8697 0.992 0.000 0.000 0.008 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 6 0.1003 0.7217 0.000 0.004 0.000 0.028 0.004 0.964
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.8701 1.000 0.000 0.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 5 0.4981 0.7059 0.000 0.016 0.000 0.188 0.680 0.116
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 5 0.6376 0.5599 0.000 0.056 0.000 0.240 0.532 0.172
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 5 0.3181 0.7715 0.000 0.012 0.000 0.144 0.824 0.020
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0146 0.9125 0.000 0.000 0.996 0.004 0.000 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.1007 0.8557 0.956 0.000 0.000 0.000 0.044 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.3915 0.9858 0.000 0.584 0.000 0.004 0.000 0.412
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.8701 1.000 0.000 0.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.3428 0.6312 0.696 0.000 0.000 0.000 0.304 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.9127 0.000 0.000 1.000 0.000 0.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.3684 0.5243 0.628 0.000 0.000 0.000 0.372 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.6007 0.9997 0.000 0.356 0.240 0.404 0.000 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 6 0.3139 0.4931 0.000 0.160 0.000 0.028 0.000 0.812
#> 8AA6D751-D111-42EE-B874-D82769F4A888 5 0.3050 0.5870 0.236 0.000 0.000 0.000 0.764 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0260 0.8697 0.992 0.000 0.000 0.008 0.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 5 0.4991 -0.1386 0.456 0.000 0.000 0.068 0.476 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0260 0.8697 0.992 0.000 0.000 0.008 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.6007 0.9997 0.000 0.356 0.240 0.404 0.000 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.6132 0.9947 0.000 0.356 0.240 0.400 0.000 0.004
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.3747 0.4739 0.604 0.000 0.000 0.000 0.396 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 6 0.4601 0.5680 0.000 0.048 0.000 0.208 0.032 0.712
#> E3671E10-825D-499B-B949-D5033855C744 1 0.4449 0.6849 0.696 0.000 0.000 0.216 0.088 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 5 0.1297 0.7711 0.040 0.000 0.000 0.012 0.948 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.4018 0.9857 0.000 0.580 0.000 0.008 0.000 0.412
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.9127 0.000 0.000 1.000 0.000 0.000 0.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0865 0.8628 0.964 0.000 0.000 0.036 0.000 0.000
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#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.2762 0.7814 0.804 0.000 0.000 0.196 0.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0146 0.8701 0.996 0.000 0.000 0.004 0.000 0.000
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#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.8701 1.000 0.000 0.000 0.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.3782 0.9872 0.000 0.588 0.000 0.000 0.000 0.412
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 6 0.2278 0.5851 0.000 0.128 0.000 0.004 0.000 0.868
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0000 0.9127 0.000 0.000 1.000 0.000 0.000 0.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 6 0.3432 0.3437 0.000 0.216 0.000 0.020 0.000 0.764
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.1918 0.9053 0.000 0.000 0.904 0.088 0.008 0.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 5 0.5165 0.6559 0.156 0.000 0.000 0.228 0.616 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.3782 0.9872 0.000 0.588 0.000 0.000 0.000 0.412
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.1663 0.8347 0.912 0.000 0.000 0.000 0.088 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.4232 0.7401 0.000 0.016 0.772 0.096 0.112 0.004
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 5 0.3247 0.7584 0.036 0.000 0.000 0.156 0.808 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 5 0.2653 0.7853 0.012 0.000 0.000 0.144 0.844 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 6 0.0146 0.7257 0.000 0.000 0.000 0.004 0.000 0.996
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#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.1327 0.8481 0.936 0.000 0.000 0.000 0.064 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.4721 0.6564 0.672 0.000 0.000 0.212 0.116 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.2454 0.7922 0.840 0.000 0.000 0.000 0.160 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.8701 1.000 0.000 0.000 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0260 0.8697 0.992 0.000 0.000 0.008 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.6007 0.9997 0.000 0.356 0.240 0.404 0.000 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.3202 0.7845 0.800 0.000 0.000 0.176 0.024 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.6007 0.9997 0.000 0.356 0.240 0.404 0.000 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.1251 0.8658 0.956 0.008 0.000 0.024 0.012 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.3915 0.9865 0.000 0.584 0.000 0.004 0.000 0.412
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.1007 0.8606 0.956 0.000 0.000 0.044 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 6 0.0291 0.7259 0.000 0.000 0.000 0.004 0.004 0.992
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.9127 0.000 0.000 1.000 0.000 0.000 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.3915 0.9865 0.000 0.584 0.000 0.004 0.000 0.412
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.3915 0.9865 0.000 0.584 0.000 0.004 0.000 0.412
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 6 0.2402 0.5534 0.000 0.140 0.000 0.004 0.000 0.856
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.3103 0.7724 0.784 0.008 0.000 0.208 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.9127 0.000 0.000 1.000 0.000 0.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.2762 0.7644 0.804 0.000 0.000 0.000 0.196 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 5 0.4919 0.6896 0.108 0.032 0.000 0.152 0.708 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0820 0.8654 0.972 0.000 0.000 0.012 0.016 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.1141 0.8521 0.948 0.000 0.000 0.000 0.052 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.3915 0.9858 0.000 0.584 0.000 0.004 0.000 0.412
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 6 0.0632 0.7164 0.000 0.024 0.000 0.000 0.000 0.976
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.6007 0.9997 0.000 0.356 0.240 0.404 0.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 6 0.7209 -0.0766 0.280 0.000 0.000 0.296 0.084 0.340
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.4018 0.9857 0.000 0.580 0.000 0.008 0.000 0.412
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.3175 0.6971 0.744 0.000 0.000 0.000 0.256 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.8701 1.000 0.000 0.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.4410 0.9658 0.000 0.560 0.000 0.028 0.000 0.412
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.3782 0.9872 0.000 0.588 0.000 0.000 0.000 0.412
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.3782 0.9872 0.000 0.588 0.000 0.000 0.000 0.412
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 6 0.4292 -0.3119 0.000 0.340 0.000 0.032 0.000 0.628
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.2178 0.8200 0.868 0.000 0.000 0.132 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.1327 0.8481 0.936 0.000 0.000 0.000 0.064 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 5 0.1074 0.7778 0.012 0.000 0.000 0.028 0.960 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.8701 1.000 0.000 0.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.3592 0.5692 0.656 0.000 0.000 0.000 0.344 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.2340 0.7987 0.852 0.000 0.000 0.000 0.148 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.3445 0.7603 0.000 0.000 0.000 0.244 0.744 0.012
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.1918 0.9053 0.000 0.000 0.904 0.088 0.008 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 6 0.0291 0.7254 0.000 0.004 0.000 0.000 0.004 0.992
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.3782 0.9872 0.000 0.588 0.000 0.000 0.000 0.412
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.5746 0.6418 0.000 0.048 0.000 0.204 0.620 0.128
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.8701 1.000 0.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.6007 0.9997 0.000 0.356 0.240 0.404 0.000 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.1918 0.9053 0.000 0.000 0.904 0.088 0.008 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.3782 0.9872 0.000 0.588 0.000 0.000 0.000 0.412
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.3073 0.7722 0.788 0.000 0.000 0.204 0.008 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.2402 0.7849 0.012 0.000 0.000 0.120 0.868 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.2218 0.7829 0.012 0.000 0.000 0.104 0.884 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.6007 0.9997 0.000 0.356 0.240 0.404 0.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9127 0.000 0.000 1.000 0.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.9127 0.000 0.000 1.000 0.000 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 6 0.5096 0.3027 0.000 0.252 0.000 0.132 0.000 0.616
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.6776 0.2152 0.324 0.000 0.000 0.316 0.324 0.036
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.4084 0.7206 0.048 0.032 0.000 0.144 0.776 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 5 0.4856 0.6942 0.084 0.036 0.000 0.152 0.724 0.004
#> BE787416-396B-48B4-A5D2-8E2EE082D001 6 0.0858 0.7131 0.000 0.028 0.000 0.004 0.000 0.968
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0146 0.8700 0.996 0.000 0.000 0.004 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.0993 0.7771 0.012 0.000 0.000 0.024 0.964 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.6007 0.9997 0.000 0.356 0.240 0.404 0.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.2302 0.8260 0.872 0.000 0.000 0.120 0.008 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.3990 0.7580 0.004 0.012 0.000 0.240 0.728 0.016
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.8701 1.000 0.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.5614 0.4250 0.540 0.000 0.000 0.204 0.256 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0146 0.8700 0.996 0.000 0.000 0.004 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.8701 1.000 0.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.3563 0.5816 0.664 0.000 0.000 0.000 0.336 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.1814 0.8283 0.900 0.000 0.000 0.000 0.100 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.3950 0.7397 0.028 0.000 0.000 0.276 0.696 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.3934 0.7377 0.020 0.000 0.000 0.304 0.676 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0790 0.8640 0.968 0.000 0.000 0.032 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.3782 0.9872 0.000 0.588 0.000 0.000 0.000 0.412
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.6007 0.9997 0.000 0.356 0.240 0.404 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.5208 0.6626 0.148 0.000 0.000 0.248 0.604 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.4269 0.9748 0.000 0.568 0.000 0.020 0.000 0.412
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.4341 0.9702 0.000 0.564 0.000 0.024 0.000 0.412
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.0632 0.7705 0.024 0.000 0.000 0.000 0.976 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.2611 0.7801 0.008 0.012 0.000 0.116 0.864 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.6007 0.9997 0.000 0.356 0.240 0.404 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.1918 0.9053 0.000 0.000 0.904 0.088 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["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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 5.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.995 0.998 0.5008 0.500 0.500
#> 3 3 1.000 0.987 0.995 0.2781 0.854 0.710
#> 4 4 0.862 0.913 0.936 0.0813 0.949 0.861
#> 5 5 0.921 0.847 0.929 0.1183 0.897 0.683
#> 6 6 0.848 0.789 0.854 0.0453 0.935 0.732
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 5
#> attr(,"optional")
#> [1] 2 3
There is also optional best \(k\) = 2 3 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.0000 0.997 0.000 1.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.999 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.0000 0.997 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.999 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.999 1.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.997 0.000 1.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.997 0.000 1.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.997 0.000 1.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.997 0.000 1.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.997 0.000 1.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.0000 0.997 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.999 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.999 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.0000 0.997 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.997 0.000 1.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.997 0.000 1.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.999 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0000 0.997 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 2 0.0000 0.997 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.999 1.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.999 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.999 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.997 0.000 1.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 2 0.7602 0.720 0.220 0.780
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.997 0.000 1.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.999 1.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.0000 0.997 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.997 0.000 1.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.997 0.000 1.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.997 0.000 1.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.999 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.997 0.000 1.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.997 0.000 1.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.997 0.000 1.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.0000 0.997 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.999 1.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.999 1.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.999 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0000 0.997 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.999 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.997 0.000 1.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.0000 0.997 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.999 1.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.999 1.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.997 0.000 1.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.999 1.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.999 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.997 0.000 1.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.0000 0.997 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.0000 0.997 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.999 1.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.999 1.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.0000 0.997 0.000 1.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.999 1.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.999 1.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.997 0.000 1.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.0000 0.997 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.999 1.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 2 0.0000 0.997 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.997 0.000 1.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.0000 0.997 0.000 1.000
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.999 1.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.0000 0.999 1.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.0000 0.997 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.999 1.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.999 1.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.999 1.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.0000 0.999 1.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.0000 0.997 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.999 1.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.997 0.000 1.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.999 1.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 2 0.0000 0.997 0.000 1.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.999 1.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.997 0.000 1.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.999 1.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.0672 0.991 0.992 0.008
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 2 0.0000 0.997 0.000 1.000
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.0000 0.999 1.000 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 2 0.0000 0.997 0.000 1.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.999 1.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.997 0.000 1.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.999 1.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.999 1.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 2 0.0000 0.997 0.000 1.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.999 1.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 2 0.0000 0.997 0.000 1.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.997 0.000 1.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.999 1.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.999 1.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.999 1.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.999 1.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.0000 0.997 0.000 1.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.0000 0.997 0.000 1.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.999 1.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.0000 0.997 0.000 1.000
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.999 1.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.999 1.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.997 0.000 1.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 2 0.0000 0.997 0.000 1.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.999 1.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.999 1.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.997 0.000 1.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.999 1.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 2 0.0000 0.997 0.000 1.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.999 1.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0000 0.997 0.000 1.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.0000 0.997 0.000 1.000
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.0000 0.997 0.000 1.000
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 2 0.0000 0.997 0.000 1.000
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0000 0.997 0.000 1.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.0000 0.999 1.000 0.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0000 0.997 0.000 1.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.0000 0.999 1.000 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.999 1.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.0000 0.997 0.000 1.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.999 1.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.0000 0.997 0.000 1.000
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.0000 0.999 1.000 0.000
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.0000 0.997 0.000 1.000
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 2 0.0000 0.997 0.000 1.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.0000 0.999 1.000 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0000 0.999 1.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.999 1.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 2 0.0000 0.997 0.000 1.000
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.0000 0.997 0.000 1.000
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 2 0.0000 0.997 0.000 1.000
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.999 1.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.0000 0.997 0.000 1.000
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.999 1.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 2 0.0000 0.997 0.000 1.000
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 2 0.0000 0.997 0.000 1.000
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.0000 0.997 0.000 1.000
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.0000 0.997 0.000 1.000
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.0000 0.999 1.000 0.000
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 2 0.0000 0.997 0.000 1.000
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 1 0.0000 0.999 1.000 0.000
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.0000 0.997 0.000 1.000
#> 4C15BE7F-B855-4670-9E38-0A626527D981 2 0.0000 0.997 0.000 1.000
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.0000 0.997 0.000 1.000
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.0000 0.999 1.000 0.000
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 2 0.0000 0.997 0.000 1.000
#> 0CE75D6A-B796-4982-9405-1602F9468945 1 0.0000 0.999 1.000 0.000
#> EAB94BCC-7CF2-462C-87A2-7B464BADA4AC 1 0.0000 0.999 1.000 0.000
#> 563EB6A9-F589-49A8-89B2-2F1185C65C4E 1 0.0000 0.999 1.000 0.000
#> 53DA4154-2ACE-4D7F-98AD-257C8B986DA2 1 0.0000 0.999 1.000 0.000
#> B2EA5A29-4642-4364-A733-C30E5A9FA38E 2 0.0000 0.997 0.000 1.000
#> 38078B54-6BBA-4696-BB22-9D5FC49E631D 1 0.0000 0.999 1.000 0.000
#> F5A64B5A-54BA-41A1-8CA2-75D27C5680D3 1 0.0000 0.999 1.000 0.000
#> 1506AC5C-E9D2-469A-8B74-AD6FDA81031B 1 0.0000 0.999 1.000 0.000
#> D8E31979-B4A1-4799-A6FE-8B2286290F53 2 0.0000 0.997 0.000 1.000
#> 783FA571-A31A-4852-855B-4E8009A9C8F1 1 0.0000 0.999 1.000 0.000
#> D8758939-ACDC-444E-A980-5AC342E107A8 1 0.0000 0.999 1.000 0.000
#> D7D4461C-60DA-4EE9-80FC-0D98CB87BA8F 2 0.0000 0.997 0.000 1.000
#> 5C8E4F70-8C40-4036-B69A-11F9D0BC6243 1 0.0000 0.999 1.000 0.000
#> 97E25CCB-1D3A-435A-9273-75DD8B25610A 1 0.0000 0.999 1.000 0.000
#> 59B0A79B-00CA-480A-A7EC-F3EA73B1465A 2 0.0000 0.997 0.000 1.000
#> 06E96222-F5E3-4DB1-A6CD-1889B8D54C6F 2 0.0000 0.997 0.000 1.000
#> EAE40D3B-BC6E-466C-AA9E-01E85B82ED8B 2 0.0000 0.997 0.000 1.000
#> B5470009-9751-4D1B-8E34-60C6BF272059 2 0.0000 0.997 0.000 1.000
#> E5539B0E-FBE9-4945-9FE3-5FA2DCAE963B 1 0.0000 0.999 1.000 0.000
#> E1362AB7-709E-4125-BDB6-1DBEA40773C2 2 0.0000 0.997 0.000 1.000
#> 04854F35-F6F3-480B-8DB1-C81A27929508 2 0.0000 0.997 0.000 1.000
#> DB9F5784-A3D2-4B4D-B9F4-61A50C77C887 2 0.0000 0.997 0.000 1.000
#> 0B6F39DB-0ED4-40F8-9D01-912EE64630D4 2 0.0000 0.997 0.000 1.000
#> 95B78C91-C27C-412D-971F-8C37FAA12D2F 1 0.0000 0.999 1.000 0.000
#> 26065E87-5EC3-4A02-9FC1-283F2751D722 1 0.0000 0.999 1.000 0.000
#> 4274ED54-92C4-436A-915D-1CF855611BEC 1 0.0000 0.999 1.000 0.000
#> C6586E83-11C5-4D9C-941D-6B73A542214B 1 0.0000 0.999 1.000 0.000
#> F126BC05-CF70-4AC4-86A4-175413710910 2 0.0000 0.997 0.000 1.000
#> C03D7F9D-8A75-4298-B3B8-1C2F1C883182 2 0.0000 0.997 0.000 1.000
#> BF92BAB0-5086-4408-80D3-05B9CCFDA176 1 0.0000 0.999 1.000 0.000
#> B1090911-50A7-4DFB-9050-5D205BE8568E 2 0.4431 0.898 0.092 0.908
#> C92520DF-8D24-4E8F-9FF5-03945962A09A 2 0.0000 0.997 0.000 1.000
#> 11EC0F2D-2BA8-4407-99F5-A0D0B1D7B0C0 1 0.0000 0.999 1.000 0.000
#> 633560A2-5165-4F8D-B715-85A537C046CE 2 0.0000 0.997 0.000 1.000
#> 79A03652-6493-40E8-93EC-431B6D797F65 1 0.0000 0.999 1.000 0.000
#> 0572C254-447A-425C-BD88-2EE4BFDE8BEC 1 0.0000 0.999 1.000 0.000
#> 6FBCEADE-1A61-4D62-BAD0-88DDB21D95D7 1 0.0000 0.999 1.000 0.000
#> ABB7CDD0-71C6-4813-9A1E-4CE9B2F88884 2 0.0000 0.997 0.000 1.000
#> 4EB7A75C-86C9-4C01-AF4B-AD541D3E3EB0 1 0.0000 0.999 1.000 0.000
#> E8C03A3A-37E5-42D2-96B6-6E6A2586AA3E 2 0.0000 0.997 0.000 1.000
#> 6D09CAE7-F8BE-4B9D-8B78-5D8DDE663AC0 1 0.0000 0.999 1.000 0.000
#> D07DD787-C4AC-4E10-B751-0543CB93C44F 1 0.0000 0.999 1.000 0.000
#> 65797413-33DA-446B-8979-E3DAD90871FC 2 0.0000 0.997 0.000 1.000
#> E815E86E-1179-4207-9D4D-DEEF48027CE7 2 0.0000 0.997 0.000 1.000
#> 82BE2393-49E7-4817-A5E2-43EF17353C0A 2 0.0000 0.997 0.000 1.000
#> FF79EA58-51FF-4B1F-9A88-5EC38D481B26 1 0.0000 0.999 1.000 0.000
#> 62766C4A-50D4-465A-8FC5-6E1141FE590B 1 0.0000 0.999 1.000 0.000
#> C69500AF-E808-4CF8-8D35-206BD8A24D54 1 0.0000 0.999 1.000 0.000
#> EB620C01-2538-4C8C-9991-5423D565C6C6 1 0.0000 0.999 1.000 0.000
#> 70C8A483-38DE-4708-9B97-97BEDC8CAEB5 2 0.0000 0.997 0.000 1.000
#> 3357972B-2FFA-4049-BC86-2B11B599807F 2 0.0000 0.997 0.000 1.000
#> E53E1926-0B0F-4942-BDFC-0219B043237F 1 0.0000 0.999 1.000 0.000
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#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 2 0.0000 0.997 0.000 1.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.999 1.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.0000 0.999 1.000 0.000
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.999 1.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.999 1.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.997 0.000 1.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.999 1.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.999 1.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.999 1.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.999 1.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.999 1.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.999 1.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.997 0.000 1.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.997 0.000 1.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 2 0.0000 0.997 0.000 1.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.997 0.000 1.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 2 0.0000 0.997 0.000 1.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.999 1.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.997 0.000 1.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.999 1.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 2 0.7883 0.693 0.236 0.764
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.999 1.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.999 1.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0000 0.997 0.000 1.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.0000 0.997 0.000 1.000
#> B9009D40-10AC-48B3-9495-865BCE904CB1 2 0.0000 0.997 0.000 1.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.997 0.000 1.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.999 1.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.999 1.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.999 1.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.999 1.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.999 1.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 2 0.0000 0.997 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.999 1.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 2 0.0000 0.997 0.000 1.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.999 1.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.997 0.000 1.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.999 1.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.0000 0.997 0.000 1.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 2 0.0000 0.997 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.997 0.000 1.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.997 0.000 1.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.997 0.000 1.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.999 1.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 2 0.0000 0.997 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.999 1.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.999 1.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.999 1.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.999 1.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.997 0.000 1.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.997 0.000 1.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.0000 0.997 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.0000 0.999 1.000 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.997 0.000 1.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.999 1.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.999 1.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.997 0.000 1.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.997 0.000 1.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.997 0.000 1.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.997 0.000 1.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.999 1.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.999 1.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.999 1.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.999 1.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.999 1.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.999 1.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.999 1.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.0000 0.997 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.997 0.000 1.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.997 0.000 1.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.7219 0.749 0.800 0.200
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.999 1.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.0000 0.997 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 2 0.0000 0.997 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.997 0.000 1.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.999 1.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.999 1.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.999 1.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.0000 0.997 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 2 0.0000 0.997 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 2 0.0000 0.997 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.0000 0.997 0.000 1.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.999 1.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.999 1.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.5737 0.842 0.864 0.136
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.997 0.000 1.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.999 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.999 1.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.0000 0.997 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.999 1.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.999 1.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.999 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.999 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.999 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.999 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.999 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.999 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.999 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.999 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.999 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.997 0.000 1.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.997 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.999 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.997 0.000 1.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.997 0.000 1.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.999 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.999 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.0000 0.997 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.0000 0.997 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0000 0.9954 0.000 0.000 1.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9927 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.0000 0.9954 0.000 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9927 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9927 1.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.9963 0.000 1.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.9963 0.000 1.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.9963 0.000 1.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.9963 0.000 1.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.9963 0.000 1.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.9954 0.000 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9927 1.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9927 1.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.9954 0.000 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.9963 0.000 1.000 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.9963 0.000 1.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9927 1.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.0000 0.9954 0.000 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.9954 0.000 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9927 1.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9927 1.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9927 1.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.9963 0.000 1.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.9954 0.000 0.000 1.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.9963 0.000 1.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.9927 1.000 0.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.9954 0.000 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.9963 0.000 1.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.9963 0.000 1.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.9963 0.000 1.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9927 1.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.9963 0.000 1.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.9963 0.000 1.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9963 0.000 1.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.9954 0.000 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.9927 1.000 0.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.9927 1.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.9927 1.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.0000 0.9954 0.000 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.9927 1.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9963 0.000 1.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.9954 0.000 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.9927 1.000 0.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.9927 1.000 0.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.9963 0.000 1.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.9927 1.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9927 1.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9963 0.000 1.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.9954 0.000 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.9954 0.000 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 3 0.2066 0.9253 0.060 0.000 0.940
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9927 1.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.3412 0.8584 0.000 0.876 0.124
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.9927 1.000 0.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.9927 1.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.9963 0.000 1.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 3 0.0000 0.9954 0.000 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9927 1.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.9954 0.000 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.9963 0.000 1.000 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 3 0.0000 0.9954 0.000 0.000 1.000
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.9927 1.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.2261 0.9234 0.932 0.068 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.0000 0.9954 0.000 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.9927 1.000 0.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.9927 1.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.9927 1.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.0000 0.9927 1.000 0.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 3 0.0000 0.9954 0.000 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.9927 1.000 0.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.9963 0.000 1.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.9927 1.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0000 0.9954 0.000 0.000 1.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.9927 1.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.9963 0.000 1.000 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.9927 1.000 0.000 0.000
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#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.9963 0.000 1.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.9927 1.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.9954 0.000 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9927 1.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.3879 0.8194 0.848 0.000 0.152
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.9927 1.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9927 1.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.9963 0.000 1.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.9963 0.000 1.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.0000 0.9954 0.000 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.4605 0.7454 0.796 0.204 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.9963 0.000 1.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.9927 1.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9927 1.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.9963 0.000 1.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.9963 0.000 1.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.9963 0.000 1.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.9963 0.000 1.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.9927 1.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9927 1.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.9927 1.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9927 1.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.9927 1.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9927 1.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.9927 1.000 0.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.9954 0.000 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.9963 0.000 1.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.9963 0.000 1.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.5733 0.5244 0.676 0.324 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9927 1.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.0000 0.9954 0.000 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.9954 0.000 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.9963 0.000 1.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.9927 1.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.9927 1.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.9927 1.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.0000 0.9954 0.000 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9954 0.000 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.9954 0.000 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.4750 0.7230 0.000 0.784 0.216
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.9927 1.000 0.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.1753 0.9448 0.952 0.000 0.048
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.0000 0.9954 0.000 0.000 1.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.9963 0.000 1.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9927 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.9927 1.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.0000 0.9954 0.000 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.9927 1.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.9927 1.000 0.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9927 1.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.9927 1.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9927 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9927 1.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9927 1.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9927 1.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.9927 1.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.9927 1.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9927 1.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9963 0.000 1.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.0000 0.9954 0.000 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.9927 1.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9963 0.000 1.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.9963 0.000 1.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.9927 1.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.9927 1.000 0.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.0000 0.9954 0.000 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.9954 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0188 0.9652 0.000 0.000 0.996 0.004
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.3688 0.8788 0.000 0.000 0.208 0.792
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.4585 0.4680 0.000 0.668 0.000 0.332
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.3688 0.8513 0.792 0.000 0.000 0.208
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 4 0.4790 0.4097 0.000 0.380 0.000 0.620
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.1557 0.9205 0.944 0.000 0.000 0.056
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.3688 0.8788 0.000 0.000 0.208 0.792
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.2814 0.8884 0.868 0.000 0.000 0.132
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0188 0.9355 0.996 0.000 0.000 0.004
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.4103 0.8076 0.744 0.000 0.000 0.256
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0336 0.9349 0.992 0.000 0.000 0.008
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.3688 0.8788 0.000 0.000 0.208 0.792
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.3356 0.8679 0.824 0.000 0.000 0.176
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.3688 0.8513 0.792 0.000 0.000 0.208
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.2814 0.8884 0.868 0.000 0.000 0.132
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 3 0.5130 0.5270 0.016 0.000 0.652 0.332
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 3 0.7489 0.1445 0.000 0.296 0.492 0.212
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.3688 0.8513 0.792 0.000 0.000 0.208
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.3688 0.8788 0.000 0.000 0.208 0.792
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.3801 0.6942 0.000 0.780 0.000 0.220
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 4 0.2281 0.7948 0.000 0.000 0.096 0.904
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.4831 0.8169 0.752 0.040 0.000 0.208
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.3688 0.8788 0.000 0.000 0.208 0.792
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.3688 0.8513 0.792 0.000 0.000 0.208
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.3688 0.8513 0.792 0.000 0.000 0.208
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.3688 0.8788 0.000 0.000 0.208 0.792
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 4 0.5330 0.5150 0.120 0.132 0.000 0.748
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 4 0.0188 0.7214 0.000 0.004 0.000 0.996
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.3688 0.8513 0.792 0.000 0.000 0.208
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0336 0.9348 0.992 0.000 0.000 0.008
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0707 0.9322 0.980 0.000 0.000 0.020
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.3688 0.8788 0.000 0.000 0.208 0.792
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.3400 0.8667 0.820 0.000 0.000 0.180
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.2149 0.9081 0.912 0.000 0.000 0.088
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.3688 0.8788 0.000 0.000 0.208 0.792
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.3688 0.8788 0.000 0.000 0.208 0.792
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0592 0.9331 0.984 0.000 0.000 0.016
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 4 0.4776 0.4188 0.000 0.376 0.000 0.624
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.3688 0.8513 0.792 0.000 0.000 0.208
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.9872 0.000 1.000 0.000 0.000
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#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.4454 0.6963 0.692 0.000 0.000 0.308
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0188 0.9355 0.996 0.000 0.000 0.004
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.3688 0.8788 0.000 0.000 0.208 0.792
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.4841 0.7706 0.780 0.140 0.000 0.080
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0188 0.9355 0.996 0.000 0.000 0.004
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.3688 0.8513 0.792 0.000 0.000 0.208
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0469 0.9340 0.988 0.000 0.000 0.012
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.3688 0.8513 0.792 0.000 0.000 0.208
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.2149 0.8906 0.000 0.912 0.000 0.088
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 4 0.0188 0.7164 0.004 0.000 0.000 0.996
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.3688 0.8788 0.000 0.000 0.208 0.792
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.3688 0.8513 0.792 0.000 0.000 0.208
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.3688 0.8513 0.792 0.000 0.000 0.208
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.3688 0.8788 0.000 0.000 0.208 0.792
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.9705 0.000 0.000 1.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.6820 0.0965 0.000 0.528 0.108 0.364
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.2589 0.8944 0.884 0.000 0.000 0.116
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.4804 0.6266 0.616 0.000 0.000 0.384
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.4661 0.3832 0.000 0.000 0.652 0.348
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.3688 0.8513 0.792 0.000 0.000 0.208
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.3688 0.8788 0.000 0.000 0.208 0.792
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.3688 0.8513 0.792 0.000 0.000 0.208
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.1022 0.9288 0.968 0.000 0.000 0.032
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0592 0.9331 0.984 0.000 0.000 0.016
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.3688 0.8513 0.792 0.000 0.000 0.208
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.3688 0.8513 0.792 0.000 0.000 0.208
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9362 1.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.3688 0.8788 0.000 0.000 0.208 0.792
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.3649 0.8534 0.796 0.000 0.000 0.204
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.9872 0.000 1.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.3688 0.8513 0.792 0.000 0.000 0.208
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.3688 0.8513 0.792 0.000 0.000 0.208
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.3688 0.8788 0.000 0.000 0.208 0.792
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.9705 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0794 0.9521 0.000 0.000 0.972 0.000 0.028
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.1478 0.9182 0.000 0.000 0.064 0.936 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0671 0.8947 0.980 0.000 0.000 0.004 0.016
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.1469 0.9484 0.000 0.948 0.000 0.036 0.016
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.4249 0.2696 0.000 0.568 0.000 0.432 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.9690 0.000 0.000 1.000 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 5 0.1124 0.8715 0.036 0.000 0.000 0.004 0.960
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0671 0.8947 0.980 0.000 0.000 0.004 0.016
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.9690 0.000 0.000 1.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 4 0.4088 0.3755 0.000 0.368 0.000 0.632 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.1469 0.9484 0.000 0.948 0.000 0.036 0.016
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.4448 0.0645 0.516 0.000 0.000 0.004 0.480
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.1478 0.9182 0.000 0.000 0.064 0.936 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0404 0.9678 0.000 0.000 0.988 0.000 0.012
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0671 0.8947 0.980 0.000 0.000 0.004 0.016
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 5 0.4310 0.3517 0.392 0.000 0.000 0.004 0.604
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.1469 0.9484 0.000 0.948 0.000 0.036 0.016
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.9690 0.000 0.000 1.000 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0290 0.9689 0.000 0.992 0.000 0.008 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.1197 0.8655 0.952 0.000 0.000 0.000 0.048
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0510 0.9673 0.000 0.000 0.984 0.000 0.016
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.9690 0.000 0.000 1.000 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.1579 0.8706 0.032 0.000 0.000 0.024 0.944
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.4225 0.4158 0.632 0.000 0.000 0.004 0.364
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0671 0.8947 0.980 0.000 0.000 0.004 0.016
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.1478 0.9182 0.000 0.000 0.064 0.936 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 5 0.2848 0.7725 0.156 0.000 0.000 0.004 0.840
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.9690 0.000 0.000 1.000 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0162 0.9005 0.996 0.000 0.000 0.000 0.004
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.1485 0.8722 0.032 0.000 0.000 0.020 0.948
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 5 0.4537 0.3140 0.396 0.000 0.000 0.012 0.592
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.9690 0.000 0.000 1.000 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0510 0.9673 0.000 0.000 0.984 0.000 0.016
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 5 0.4726 0.2608 0.000 0.000 0.400 0.020 0.580
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 3 0.6722 -0.0227 0.000 0.152 0.428 0.404 0.016
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.1386 0.8736 0.032 0.000 0.000 0.016 0.952
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.1469 0.9484 0.000 0.948 0.000 0.036 0.016
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.1478 0.9182 0.000 0.000 0.064 0.936 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0510 0.9673 0.000 0.000 0.984 0.000 0.016
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.3521 0.6864 0.000 0.764 0.000 0.232 0.004
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 4 0.1568 0.8835 0.000 0.000 0.020 0.944 0.036
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 5 0.1300 0.8708 0.028 0.000 0.000 0.016 0.956
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.1478 0.9182 0.000 0.000 0.064 0.936 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 5 0.1386 0.8736 0.032 0.000 0.000 0.016 0.952
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 5 0.1211 0.8671 0.024 0.000 0.000 0.016 0.960
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.1478 0.9182 0.000 0.000 0.064 0.936 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0290 0.8982 0.992 0.000 0.000 0.000 0.008
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0510 0.9673 0.000 0.000 0.984 0.000 0.016
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.1012 0.9589 0.000 0.968 0.000 0.020 0.012
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 5 0.1442 0.8505 0.012 0.004 0.000 0.032 0.952
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 4 0.4150 0.3850 0.000 0.000 0.000 0.612 0.388
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 5 0.1485 0.8722 0.032 0.000 0.000 0.020 0.948
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.9690 0.000 0.000 1.000 0.000 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.3790 0.5991 0.724 0.000 0.000 0.004 0.272
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.9690 0.000 0.000 1.000 0.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.4397 0.2339 0.564 0.000 0.000 0.004 0.432
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.1478 0.9182 0.000 0.000 0.064 0.936 0.000
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#> DD2C1231-2724-4F32-8307-9C8C03E3448B 5 0.1168 0.8741 0.032 0.000 0.000 0.008 0.960
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0671 0.8947 0.980 0.000 0.000 0.004 0.016
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 5 0.4437 0.1280 0.464 0.000 0.000 0.004 0.532
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.1251 0.9525 0.000 0.956 0.000 0.036 0.008
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0000 0.9690 0.000 0.000 1.000 0.000 0.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.0510 0.9673 0.000 0.000 0.984 0.000 0.016
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 5 0.1357 0.8649 0.048 0.000 0.000 0.004 0.948
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.0510 0.9673 0.000 0.000 0.984 0.000 0.016
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 5 0.1041 0.8730 0.032 0.000 0.000 0.004 0.964
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 5 0.0880 0.8738 0.032 0.000 0.000 0.000 0.968
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.1469 0.9484 0.000 0.948 0.000 0.036 0.016
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 4 0.4210 0.2816 0.000 0.000 0.000 0.588 0.412
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0000 0.9690 0.000 0.000 1.000 0.000 0.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.1469 0.9484 0.000 0.948 0.000 0.036 0.016
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0162 0.9013 0.996 0.000 0.000 0.004 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.4029 0.5219 0.680 0.000 0.000 0.004 0.316
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0671 0.8947 0.980 0.000 0.000 0.004 0.016
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.1478 0.9182 0.000 0.000 0.064 0.936 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0404 0.8973 0.988 0.000 0.000 0.000 0.012
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.1478 0.9182 0.000 0.000 0.064 0.936 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0324 0.8998 0.992 0.000 0.000 0.004 0.004
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 4 0.4065 0.5882 0.000 0.264 0.000 0.720 0.016
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.9690 0.000 0.000 1.000 0.000 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.1469 0.9484 0.000 0.948 0.000 0.036 0.016
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.9690 0.000 0.000 1.000 0.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.2806 0.7682 0.844 0.000 0.000 0.004 0.152
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 5 0.4736 0.2777 0.404 0.000 0.000 0.020 0.576
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.1197 0.8655 0.952 0.000 0.000 0.000 0.048
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.1469 0.9484 0.000 0.948 0.000 0.036 0.016
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.1478 0.9182 0.000 0.000 0.064 0.936 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.5435 0.1481 0.540 0.004 0.000 0.052 0.404
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.3366 0.6914 0.784 0.000 0.000 0.004 0.212
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0566 0.8965 0.984 0.000 0.000 0.004 0.012
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 5 0.1041 0.8741 0.032 0.000 0.000 0.004 0.964
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.4029 0.5194 0.680 0.000 0.000 0.004 0.316
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0671 0.8947 0.980 0.000 0.000 0.004 0.016
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.1386 0.8736 0.032 0.000 0.000 0.016 0.952
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0510 0.9673 0.000 0.000 0.984 0.000 0.016
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.2677 0.8745 0.000 0.872 0.000 0.112 0.016
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.3612 0.5427 0.000 0.000 0.000 0.268 0.732
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.1478 0.9182 0.000 0.000 0.064 0.936 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0510 0.9673 0.000 0.000 0.984 0.000 0.016
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0162 0.9005 0.996 0.000 0.000 0.000 0.004
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.1041 0.8741 0.032 0.000 0.000 0.004 0.964
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.1386 0.8736 0.032 0.000 0.000 0.016 0.952
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.1478 0.9182 0.000 0.000 0.064 0.936 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9690 0.000 0.000 1.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.9690 0.000 0.000 1.000 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.5577 0.0669 0.000 0.516 0.052 0.424 0.008
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.4508 0.4824 0.332 0.000 0.000 0.020 0.648
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.1012 0.8522 0.012 0.000 0.000 0.020 0.968
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.5484 0.2358 0.000 0.000 0.540 0.392 0.068
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.1469 0.9484 0.000 0.948 0.000 0.036 0.016
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.0880 0.8738 0.032 0.000 0.000 0.000 0.968
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.1478 0.9182 0.000 0.000 0.064 0.936 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0290 0.8980 0.992 0.000 0.000 0.000 0.008
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.1386 0.8736 0.032 0.000 0.000 0.016 0.952
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 5 0.4437 0.1281 0.464 0.000 0.000 0.004 0.532
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.3969 0.5422 0.692 0.000 0.000 0.004 0.304
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0671 0.8947 0.980 0.000 0.000 0.004 0.016
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.0880 0.8738 0.032 0.000 0.000 0.000 0.968
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.1386 0.8736 0.032 0.000 0.000 0.016 0.952
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9026 1.000 0.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.1478 0.9182 0.000 0.000 0.064 0.936 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.1357 0.8649 0.048 0.000 0.000 0.004 0.948
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.9738 0.000 1.000 0.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.0880 0.8738 0.032 0.000 0.000 0.000 0.968
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.1386 0.8736 0.032 0.000 0.000 0.016 0.952
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.1478 0.9182 0.000 0.000 0.064 0.936 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0510 0.9673 0.000 0.000 0.984 0.000 0.016
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0777 0.96453 0.000 0.000 0.972 0.004 0.000 0.024
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0632 0.88258 0.976 0.000 0.000 0.000 0.000 0.024
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.0458 0.93392 0.000 0.000 0.016 0.984 0.000 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.88752 1.000 0.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.3244 0.71201 0.732 0.000 0.000 0.000 0.000 0.268
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0146 0.94543 0.000 0.996 0.000 0.000 0.000 0.004
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0146 0.94543 0.000 0.996 0.000 0.000 0.000 0.004
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.1007 0.90135 0.000 0.956 0.000 0.000 0.000 0.044
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 6 0.4002 0.74967 0.000 0.404 0.000 0.008 0.000 0.588
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.5976 -0.30004 0.000 0.408 0.000 0.364 0.000 0.228
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.96881 0.000 0.000 1.000 0.000 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 5 0.3244 0.73169 0.000 0.000 0.000 0.000 0.732 0.268
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.3219 0.78738 0.792 0.000 0.000 0.004 0.012 0.192
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.96881 0.000 0.000 1.000 0.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 4 0.5661 0.07913 0.000 0.204 0.000 0.528 0.000 0.268
#> 19342512-D282-4C35-B9A9-3A1180D594F4 6 0.4002 0.74967 0.000 0.404 0.000 0.008 0.000 0.588
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 5 0.5860 0.53342 0.248 0.000 0.000 0.000 0.484 0.268
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0458 0.93392 0.000 0.000 0.016 0.984 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0632 0.96627 0.000 0.000 0.976 0.000 0.000 0.024
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.2738 0.80726 0.820 0.000 0.000 0.004 0.000 0.176
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0260 0.88629 0.992 0.000 0.000 0.000 0.000 0.008
#> BA285E50-200E-4B98-9F8B-904AD679CD45 5 0.5548 0.62054 0.184 0.000 0.000 0.000 0.548 0.268
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 6 0.4002 0.74967 0.000 0.404 0.000 0.008 0.000 0.588
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.96881 0.000 0.000 1.000 0.000 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.1219 0.88582 0.000 0.948 0.000 0.004 0.000 0.048
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0520 0.88434 0.984 0.000 0.000 0.000 0.008 0.008
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.1007 0.96275 0.000 0.000 0.956 0.000 0.000 0.044
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.94599 0.000 1.000 0.000 0.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0146 0.94543 0.000 0.996 0.000 0.000 0.000 0.004
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.94599 0.000 1.000 0.000 0.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.88752 1.000 0.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.94599 0.000 1.000 0.000 0.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.94599 0.000 1.000 0.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.94599 0.000 1.000 0.000 0.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.96881 0.000 0.000 1.000 0.000 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.1588 0.71513 0.000 0.000 0.000 0.004 0.924 0.072
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 5 0.6017 0.29393 0.368 0.000 0.000 0.004 0.424 0.204
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.3219 0.78884 0.792 0.000 0.000 0.004 0.012 0.192
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0458 0.93392 0.000 0.000 0.016 0.984 0.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 5 0.3674 0.72876 0.016 0.000 0.000 0.000 0.716 0.268
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.1700 0.84395 0.000 0.916 0.000 0.004 0.000 0.080
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.96881 0.000 0.000 1.000 0.000 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.2065 0.85021 0.912 0.000 0.000 0.004 0.032 0.052
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.0260 0.72776 0.000 0.000 0.000 0.000 0.992 0.008
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0146 0.94543 0.000 0.996 0.000 0.000 0.000 0.004
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 5 0.5879 0.59735 0.184 0.000 0.000 0.004 0.476 0.336
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#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0260 0.88676 0.992 0.000 0.000 0.000 0.000 0.008
#> D841D893-0126-4D5A-A5A0-955172379E32 5 0.5681 0.59588 0.212 0.000 0.000 0.004 0.552 0.232
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.88752 1.000 0.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.88752 1.000 0.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.6009 -0.05564 0.432 0.000 0.000 0.000 0.300 0.268
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.3023 0.75018 0.768 0.000 0.000 0.000 0.000 0.232
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.2006 0.73895 0.000 0.000 0.000 0.004 0.892 0.104
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.0858 0.72455 0.000 0.000 0.000 0.004 0.968 0.028
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0260 0.88629 0.992 0.000 0.000 0.000 0.000 0.008
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.94599 0.000 1.000 0.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0458 0.93392 0.000 0.000 0.016 0.984 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.3393 0.73633 0.020 0.000 0.000 0.004 0.784 0.192
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0146 0.94543 0.000 0.996 0.000 0.000 0.000 0.004
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0146 0.94543 0.000 0.996 0.000 0.000 0.000 0.004
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.2527 0.74116 0.000 0.000 0.000 0.000 0.832 0.168
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.0458 0.73026 0.000 0.000 0.000 0.000 0.984 0.016
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0458 0.93392 0.000 0.000 0.016 0.984 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.1007 0.96275 0.000 0.000 0.956 0.000 0.000 0.044
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
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)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 4.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.883 0.930 0.970 0.4960 0.502 0.502
#> 3 3 1.000 0.982 0.993 0.2606 0.795 0.622
#> 4 4 1.000 0.981 0.993 0.0379 0.974 0.931
#> 5 5 0.848 0.895 0.921 0.0537 0.985 0.956
#> 6 6 0.817 0.798 0.875 0.0659 0.938 0.819
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 4
#> attr(,"optional")
#> [1] 3
There is also optional best \(k\) = 3 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.2423 0.9373 0.960 0.040
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9726 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.0000 0.9641 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9726 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9726 1.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.9641 0.000 1.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.9641 0.000 1.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.9641 0.000 1.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.9641 0.000 1.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0938 0.9546 0.012 0.988
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.0000 0.9641 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9726 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9726 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.7056 0.7733 0.192 0.808
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.9641 0.000 1.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.9641 0.000 1.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9726 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0000 0.9641 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 1 0.8713 0.5820 0.708 0.292
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9726 1.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9726 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9726 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.9641 0.000 1.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.0000 0.9726 1.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0938 0.9546 0.012 0.988
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.9726 1.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.0000 0.9641 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.9641 0.000 1.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.9641 0.000 1.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.9641 0.000 1.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9726 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.9641 0.000 1.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.9641 0.000 1.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9641 0.000 1.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.0000 0.9641 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.9726 1.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.9726 1.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.9726 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0000 0.9641 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.9726 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9641 0.000 1.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.6247 0.8152 0.156 0.844
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.9726 1.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.2236 0.9405 0.964 0.036
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.9641 0.000 1.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.9726 1.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9726 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9641 0.000 1.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.0000 0.9641 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.0000 0.9641 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.9726 1.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9726 1.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.0000 0.9641 0.000 1.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.9726 1.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.9726 1.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.9641 0.000 1.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.0000 0.9641 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9726 1.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 1 0.9944 0.1388 0.544 0.456
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.9641 0.000 1.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 1 0.7139 0.7529 0.804 0.196
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.9726 1.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.7674 0.7030 0.776 0.224
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.0000 0.9641 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.9726 1.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.9726 1.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.9726 1.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.1633 0.9518 0.976 0.024
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.0000 0.9641 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.9726 1.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.9641 0.000 1.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.9726 1.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 1 0.6801 0.7712 0.820 0.180
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.9726 1.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.9641 0.000 1.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.9726 1.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.0000 0.9726 1.000 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 2 0.6531 0.8020 0.168 0.832
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.2236 0.9405 0.964 0.036
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 2 0.0000 0.9641 0.000 1.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.9726 1.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.9641 0.000 1.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.9726 1.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.9726 1.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 2 0.7056 0.7733 0.192 0.808
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.9726 1.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 2 0.0000 0.9641 0.000 1.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.9641 0.000 1.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.9726 1.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.9726 1.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.9726 1.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.9726 1.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.0000 0.9641 0.000 1.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.0000 0.9641 0.000 1.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.9726 1.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.0000 0.9641 0.000 1.000
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.9726 1.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.9726 1.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.9641 0.000 1.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 1 0.7219 0.7423 0.800 0.200
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.9726 1.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.9726 1.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.9641 0.000 1.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.9726 1.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 2 0.0000 0.9641 0.000 1.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.9726 1.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0000 0.9641 0.000 1.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.0000 0.9641 0.000 1.000
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.0000 0.9641 0.000 1.000
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 2 0.9323 0.4973 0.348 0.652
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0000 0.9641 0.000 1.000
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#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.9726 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9641 0.000 1.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.9641 0.000 1.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.9726 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.9726 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.0000 0.9641 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.0000 0.9641 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.2448 0.901 0.076 0.000 0.924
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.993 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.0000 0.992 0.000 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.993 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.993 1.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.992 0.000 1.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.992 0.000 1.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.992 0.000 1.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.992 0.000 1.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0424 0.983 0.008 0.992 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.992 0.000 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.993 1.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.993 1.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.992 0.000 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.992 0.000 1.000 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.992 0.000 1.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.993 1.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.0000 0.992 0.000 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.992 0.000 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.993 1.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.993 1.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.993 1.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.992 0.000 1.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.992 0.000 0.000 1.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.992 0.000 1.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.993 1.000 0.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.992 0.000 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.992 0.000 1.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.992 0.000 1.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.992 0.000 1.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.993 1.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.992 0.000 1.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.992 0.000 1.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.992 0.000 1.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.992 0.000 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.993 1.000 0.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.993 1.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.993 1.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.0000 0.992 0.000 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.993 1.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.992 0.000 1.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.992 0.000 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.993 1.000 0.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.993 1.000 0.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.992 0.000 1.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.993 1.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.993 1.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.992 0.000 1.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.992 0.000 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.992 0.000 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0237 0.989 0.996 0.000 0.004
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.993 1.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.2959 0.865 0.100 0.900 0.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.993 1.000 0.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.993 1.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.992 0.000 1.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 3 0.0000 0.992 0.000 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.993 1.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.992 0.000 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.992 0.000 1.000 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 1 0.4178 0.792 0.828 0.000 0.172
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.993 1.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.0000 0.993 1.000 0.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.0000 0.992 0.000 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.993 1.000 0.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.993 1.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.993 1.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.0000 0.993 1.000 0.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 3 0.0000 0.992 0.000 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.993 1.000 0.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.992 0.000 1.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.993 1.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0000 0.992 0.000 0.000 1.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.993 1.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.992 0.000 1.000 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.993 1.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.0000 0.993 1.000 0.000 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 1 0.5760 0.514 0.672 0.328 0.000
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.0000 0.993 1.000 0.000 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.992 0.000 0.000 1.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.993 1.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.992 0.000 1.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.993 1.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.993 1.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.992 0.000 0.000 1.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.993 1.000 0.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 3 0.0000 0.992 0.000 0.000 1.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.992 0.000 1.000 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.993 1.000 0.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.993 1.000 0.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.993 1.000 0.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.993 1.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 3 0.0000 0.992 0.000 0.000 1.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 3 0.0000 0.992 0.000 0.000 1.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.993 1.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.1163 0.958 0.028 0.972 0.000
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.993 1.000 0.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.993 1.000 0.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.992 0.000 1.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.992 0.000 0.000 1.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.993 1.000 0.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.993 1.000 0.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.992 0.000 1.000 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.993 1.000 0.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0000 0.992 0.000 0.000 1.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.993 1.000 0.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0000 0.992 0.000 1.000 0.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.0000 0.992 0.000 1.000 0.000
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.0424 0.983 0.008 0.992 0.000
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 1 0.3183 0.902 0.908 0.016 0.076
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0000 0.992 0.000 1.000 0.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.0000 0.993 1.000 0.000 0.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0000 0.992 0.000 1.000 0.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.0000 0.993 1.000 0.000 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.993 1.000 0.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.0000 0.992 0.000 1.000 0.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.993 1.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 1 0.5291 0.635 0.732 0.268 0.000
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.0000 0.993 1.000 0.000 0.000
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.0000 0.992 0.000 1.000 0.000
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.0000 0.992 0.000 0.000 1.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.0000 0.993 1.000 0.000 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0000 0.993 1.000 0.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.993 1.000 0.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 1 0.3267 0.911 0.912 0.044 0.044
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.0000 0.992 0.000 1.000 0.000
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 3 0.0000 0.992 0.000 0.000 1.000
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.993 1.000 0.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.0000 0.992 0.000 1.000 0.000
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.993 1.000 0.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 3 0.0000 0.992 0.000 0.000 1.000
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 3 0.0000 0.992 0.000 0.000 1.000
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.0000 0.992 0.000 1.000 0.000
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.0000 0.992 0.000 1.000 0.000
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.0000 0.993 1.000 0.000 0.000
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 3 0.0000 0.992 0.000 0.000 1.000
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 1 0.0000 0.993 1.000 0.000 0.000
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.0000 0.992 0.000 1.000 0.000
#> 4C15BE7F-B855-4670-9E38-0A626527D981 3 0.0000 0.992 0.000 0.000 1.000
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.0000 0.992 0.000 1.000 0.000
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.0000 0.993 1.000 0.000 0.000
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 2 0.0000 0.992 0.000 1.000 0.000
#> 0CE75D6A-B796-4982-9405-1602F9468945 1 0.0000 0.993 1.000 0.000 0.000
#> EAB94BCC-7CF2-462C-87A2-7B464BADA4AC 1 0.0000 0.993 1.000 0.000 0.000
#> 563EB6A9-F589-49A8-89B2-2F1185C65C4E 1 0.0000 0.993 1.000 0.000 0.000
#> 53DA4154-2ACE-4D7F-98AD-257C8B986DA2 1 0.0000 0.993 1.000 0.000 0.000
#> B2EA5A29-4642-4364-A733-C30E5A9FA38E 2 0.0000 0.992 0.000 1.000 0.000
#> 38078B54-6BBA-4696-BB22-9D5FC49E631D 1 0.0000 0.993 1.000 0.000 0.000
#> F5A64B5A-54BA-41A1-8CA2-75D27C5680D3 1 0.0000 0.993 1.000 0.000 0.000
#> 1506AC5C-E9D2-469A-8B74-AD6FDA81031B 1 0.0000 0.993 1.000 0.000 0.000
#> D8E31979-B4A1-4799-A6FE-8B2286290F53 2 0.0000 0.992 0.000 1.000 0.000
#> 783FA571-A31A-4852-855B-4E8009A9C8F1 1 0.0000 0.993 1.000 0.000 0.000
#> D8758939-ACDC-444E-A980-5AC342E107A8 1 0.0000 0.993 1.000 0.000 0.000
#> D7D4461C-60DA-4EE9-80FC-0D98CB87BA8F 2 0.0000 0.992 0.000 1.000 0.000
#> 5C8E4F70-8C40-4036-B69A-11F9D0BC6243 1 0.0000 0.993 1.000 0.000 0.000
#> 97E25CCB-1D3A-435A-9273-75DD8B25610A 1 0.0000 0.993 1.000 0.000 0.000
#> 59B0A79B-00CA-480A-A7EC-F3EA73B1465A 3 0.0000 0.992 0.000 0.000 1.000
#> 06E96222-F5E3-4DB1-A6CD-1889B8D54C6F 3 0.0000 0.992 0.000 0.000 1.000
#> EAE40D3B-BC6E-466C-AA9E-01E85B82ED8B 2 0.0000 0.992 0.000 1.000 0.000
#> B5470009-9751-4D1B-8E34-60C6BF272059 3 0.0000 0.992 0.000 0.000 1.000
#> E5539B0E-FBE9-4945-9FE3-5FA2DCAE963B 1 0.1529 0.953 0.960 0.040 0.000
#> E1362AB7-709E-4125-BDB6-1DBEA40773C2 3 0.0000 0.992 0.000 0.000 1.000
#> 04854F35-F6F3-480B-8DB1-C81A27929508 2 0.0000 0.992 0.000 1.000 0.000
#> DB9F5784-A3D2-4B4D-B9F4-61A50C77C887 2 0.0000 0.992 0.000 1.000 0.000
#> 0B6F39DB-0ED4-40F8-9D01-912EE64630D4 2 0.0000 0.992 0.000 1.000 0.000
#> 95B78C91-C27C-412D-971F-8C37FAA12D2F 1 0.0000 0.993 1.000 0.000 0.000
#> 26065E87-5EC3-4A02-9FC1-283F2751D722 1 0.0000 0.993 1.000 0.000 0.000
#> 4274ED54-92C4-436A-915D-1CF855611BEC 1 0.0000 0.993 1.000 0.000 0.000
#> C6586E83-11C5-4D9C-941D-6B73A542214B 1 0.0000 0.993 1.000 0.000 0.000
#> F126BC05-CF70-4AC4-86A4-175413710910 3 0.0000 0.992 0.000 0.000 1.000
#> C03D7F9D-8A75-4298-B3B8-1C2F1C883182 3 0.0000 0.992 0.000 0.000 1.000
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#> E0353276-F075-43F3-BB95-3AA315D40505 2 0.0000 0.992 0.000 1.000 0.000
#> 580F828B-2333-48F7-BA05-E9B6EF1AA3D5 1 0.0000 0.993 1.000 0.000 0.000
#> C051D793-4538-4D76-BFC2-0C08EAA57371 1 0.0000 0.993 1.000 0.000 0.000
#> 50893EF9-5D78-4731-B614-8E7F4AC5FA5F 1 0.0000 0.993 1.000 0.000 0.000
#> F235BBBB-4364-4BEE-88C8-9075208D1B96 3 0.0000 0.992 0.000 0.000 1.000
#> 73A25F6E-99C8-4C55-9E6C-8457BE8E44C0 2 0.0000 0.992 0.000 1.000 0.000
#> 4C7213E4-7845-49FC-924A-2BC7A7AEB519 3 0.0000 0.992 0.000 0.000 1.000
#> B8E40A95-9DF7-4EEE-B7D9-D17FA6B8AB2C 1 0.0000 0.993 1.000 0.000 0.000
#> 766E5BEF-D5FC-4C60-831C-88667F858375 2 0.0000 0.992 0.000 1.000 0.000
#> 31110A59-6DD4-4EDD-A056-C45DBC8966CC 1 0.0000 0.993 1.000 0.000 0.000
#> 0816836B-3F01-45BC-A843-00867E98FAD7 2 0.0000 0.992 0.000 1.000 0.000
#> 708F24EB-4551-4A3F-8E59-FA76ABE305D7 1 0.0000 0.993 1.000 0.000 0.000
#> 6EF22E72-6FCD-4645-8E8A-F6F117387082 1 0.0000 0.993 1.000 0.000 0.000
#> 680DFFFE-43F3-4A48-A662-FFE89FB43B04 1 0.0000 0.993 1.000 0.000 0.000
#> 4BB7CD09-ECE2-4774-B82C-949B6558C4D2 2 0.0000 0.992 0.000 1.000 0.000
#> 10E55344-362E-4982-B9EF-BE428086D27E 3 0.0000 0.992 0.000 0.000 1.000
#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 2 0.0000 0.992 0.000 1.000 0.000
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.0000 0.993 1.000 0.000 0.000
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 1 0.8222 0.402 0.592 0.308 0.100
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.0000 0.993 1.000 0.000 0.000
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.0000 0.992 0.000 1.000 0.000
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 3 0.0000 0.992 0.000 0.000 1.000
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.0000 0.993 1.000 0.000 0.000
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 3 0.0000 0.992 0.000 0.000 1.000
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 3 0.0000 0.992 0.000 0.000 1.000
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 3 0.0000 0.992 0.000 0.000 1.000
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.0000 0.992 0.000 1.000 0.000
#> 347C4168-42C5-494B-8080-2C244F6201FF 1 0.0000 0.993 1.000 0.000 0.000
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0000 0.992 0.000 1.000 0.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 3 0.2448 0.901 0.076 0.000 0.924
#> 59363737-247E-4524-B7CD-F43B2C861027 3 0.0000 0.992 0.000 0.000 1.000
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 3 0.0000 0.992 0.000 0.000 1.000
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0000 0.993 1.000 0.000 0.000
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 3 0.0000 0.992 0.000 0.000 1.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.0000 0.992 0.000 1.000 0.000
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 3 0.0000 0.992 0.000 0.000 1.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0000 0.992 0.000 1.000 0.000
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 3 0.0000 0.992 0.000 0.000 1.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.993 1.000 0.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.2711 0.902 0.912 0.000 0.088
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.993 1.000 0.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.993 1.000 0.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.992 0.000 1.000 0.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.993 1.000 0.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.993 1.000 0.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.993 1.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.993 1.000 0.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.993 1.000 0.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.993 1.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.992 0.000 1.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.992 0.000 1.000 0.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0000 0.992 0.000 0.000 1.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.992 0.000 1.000 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.0000 0.992 0.000 0.000 1.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.993 1.000 0.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.992 0.000 1.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.993 1.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.0000 0.992 0.000 0.000 1.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.993 1.000 0.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.993 1.000 0.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0000 0.992 0.000 1.000 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 1 0.0000 0.993 1.000 0.000 0.000
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0000 0.992 0.000 0.000 1.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.992 0.000 1.000 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.993 1.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.993 1.000 0.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.993 1.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.993 1.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.993 1.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 3 0.0000 0.992 0.000 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.993 1.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.0000 0.992 0.000 0.000 1.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.993 1.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.992 0.000 1.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.993 1.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.0000 0.992 0.000 1.000 0.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.992 0.000 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.992 0.000 1.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.992 0.000 1.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.992 0.000 1.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.993 1.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.992 0.000 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.993 1.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.993 1.000 0.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.993 1.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.993 1.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.992 0.000 1.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.992 0.000 1.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.0000 0.992 0.000 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.0000 0.993 1.000 0.000 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.992 0.000 1.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.993 1.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.993 1.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.992 0.000 1.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.992 0.000 1.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.992 0.000 1.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.992 0.000 1.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.993 1.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.993 1.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.993 1.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.993 1.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.993 1.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.993 1.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.993 1.000 0.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.992 0.000 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.992 0.000 1.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.992 0.000 1.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0237 0.989 0.996 0.004 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.993 1.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.0000 0.992 0.000 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.992 0.000 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.992 0.000 1.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.993 1.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.993 1.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.993 1.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.0000 0.992 0.000 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.992 0.000 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.992 0.000 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.6291 0.118 0.000 0.468 0.532
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.993 1.000 0.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.993 1.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.3267 0.869 0.884 0.000 0.116
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.992 0.000 1.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.993 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.993 1.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.0000 0.992 0.000 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.993 1.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.993 1.000 0.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.993 1.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.993 1.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.993 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.993 1.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.993 1.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.993 1.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.993 1.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.993 1.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.993 1.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.992 0.000 1.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.0000 0.992 0.000 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.993 1.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.992 0.000 1.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.992 0.000 1.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.993 1.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.993 1.000 0.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.0000 0.992 0.000 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.992 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.4790 0.393 0.000 0.000 0.620 0.380
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0336 0.982 0.008 0.992 0.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.993 1.000 0.000 0.000 0.000
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#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 1 0.7841 0.208 0.512 0.336 0.108 0.044
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 347C4168-42C5-494B-8080-2C244F6201FF 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> 59363737-247E-4524-B7CD-F43B2C861027 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.0592 0.977 0.984 0.000 0.016 0.000
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0657 0.978 0.984 0.004 0.000 0.012
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.0921 0.963 0.000 0.000 0.028 0.972
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.984 0.000 0.000 1.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.4925 0.239 0.000 0.572 0.428 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.993 0.000 1.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.993 1.000 0.000 0.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.991 0.000 0.000 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.984 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0798 0.8965 0.016 0.000 0.976 0.000 0.008
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.2230 0.8880 0.884 0.000 0.000 0.000 0.116
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 5 0.5235 0.7575 0.000 0.000 0.312 0.068 0.620
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.2648 0.9168 0.000 0.848 0.000 0.000 0.152
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.2471 0.9171 0.000 0.864 0.000 0.000 0.136
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.2179 0.9164 0.000 0.888 0.000 0.000 0.112
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.8973 0.000 1.000 0.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.2124 0.8283 0.004 0.900 0.000 0.000 0.096
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.9454 0.000 0.000 1.000 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0162 0.9406 0.996 0.000 0.000 0.000 0.004
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.9454 0.000 0.000 1.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.8973 0.000 1.000 0.000 0.000 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.8973 0.000 1.000 0.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0162 0.9406 0.996 0.000 0.000 0.000 0.004
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.9849 0.000 0.000 0.000 1.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 5 0.4088 0.7900 0.000 0.000 0.368 0.000 0.632
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.8973 0.000 1.000 0.000 0.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.9454 0.000 0.000 1.000 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.2516 0.9170 0.000 0.860 0.000 0.000 0.140
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.2605 0.8699 0.852 0.000 0.000 0.000 0.148
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 5 0.3949 0.8488 0.000 0.000 0.332 0.000 0.668
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.2891 0.9143 0.000 0.824 0.000 0.000 0.176
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.8973 0.000 1.000 0.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.2891 0.9143 0.000 0.824 0.000 0.000 0.176
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.2891 0.9143 0.000 0.824 0.000 0.000 0.176
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.2891 0.9143 0.000 0.824 0.000 0.000 0.176
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.2605 0.9173 0.000 0.852 0.000 0.000 0.148
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.9454 0.000 0.000 1.000 0.000 0.000
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#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.2377 0.8816 0.872 0.000 0.000 0.000 0.128
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.2690 0.8660 0.844 0.000 0.000 0.000 0.156
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0000 0.8973 0.000 1.000 0.000 0.000 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 1 0.5375 0.6601 0.668 0.176 0.000 0.000 0.156
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0000 0.9454 0.000 0.000 1.000 0.000 0.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.8973 0.000 1.000 0.000 0.000 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.2648 0.8681 0.848 0.000 0.000 0.000 0.152
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
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#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.9454 0.000 0.000 1.000 0.000 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.2891 0.9143 0.000 0.824 0.000 0.000 0.176
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.2891 0.9143 0.000 0.824 0.000 0.000 0.176
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.8973 0.000 1.000 0.000 0.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.9454 0.000 0.000 1.000 0.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0290 0.9390 0.992 0.000 0.000 0.000 0.008
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.2605 0.8699 0.852 0.000 0.000 0.000 0.148
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.2891 0.9143 0.000 0.824 0.000 0.000 0.176
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.8973 0.000 1.000 0.000 0.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0000 0.9849 0.000 0.000 0.000 1.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.5198 0.6855 0.688 0.164 0.000 0.000 0.148
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.2891 0.9143 0.000 0.824 0.000 0.000 0.176
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.2648 0.9168 0.000 0.848 0.000 0.000 0.152
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.2891 0.9143 0.000 0.824 0.000 0.000 0.176
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.2891 0.9143 0.000 0.824 0.000 0.000 0.176
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.8973 0.000 1.000 0.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.2605 0.8716 0.852 0.000 0.000 0.000 0.148
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0162 0.9406 0.996 0.000 0.000 0.000 0.004
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.2690 0.8660 0.844 0.000 0.000 0.000 0.156
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 5 0.3949 0.8488 0.000 0.000 0.332 0.000 0.668
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.8973 0.000 1.000 0.000 0.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.2891 0.9143 0.000 0.824 0.000 0.000 0.176
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.4181 0.8138 0.784 0.052 0.000 0.008 0.156
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.3870 0.7813 0.000 0.132 0.024 0.816 0.028
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 5 0.3949 0.8488 0.000 0.000 0.332 0.000 0.668
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.2891 0.9143 0.000 0.824 0.000 0.000 0.176
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.2605 0.8699 0.852 0.000 0.000 0.000 0.148
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0290 0.9390 0.992 0.000 0.000 0.000 0.008
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.2690 0.8660 0.844 0.000 0.000 0.000 0.156
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.9849 0.000 0.000 0.000 1.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9454 0.000 0.000 1.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.9454 0.000 0.000 1.000 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 5 0.6325 -0.0486 0.000 0.420 0.156 0.000 0.424
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.2605 0.8699 0.852 0.000 0.000 0.000 0.148
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0290 0.9390 0.992 0.000 0.000 0.000 0.008
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.3949 0.5069 0.668 0.000 0.000 0.000 0.332
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.8973 0.000 1.000 0.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.2605 0.8699 0.852 0.000 0.000 0.000 0.148
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.9849 0.000 0.000 0.000 1.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.2648 0.8680 0.848 0.000 0.000 0.000 0.152
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.2605 0.8699 0.852 0.000 0.000 0.000 0.148
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.2605 0.8699 0.852 0.000 0.000 0.000 0.148
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.2891 0.9143 0.000 0.824 0.000 0.000 0.176
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.9849 0.000 0.000 0.000 1.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.9422 1.000 0.000 0.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.2648 0.9168 0.000 0.848 0.000 0.000 0.152
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.2648 0.9168 0.000 0.848 0.000 0.000 0.152
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.2605 0.8699 0.852 0.000 0.000 0.000 0.148
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.2690 0.8660 0.844 0.000 0.000 0.000 0.156
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.9849 0.000 0.000 0.000 1.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 5 0.3949 0.8488 0.000 0.000 0.332 0.000 0.668
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.4340 0.6123 0.008 0.224 0.720 0.000 0.008 0.040
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.2260 0.8436 0.860 0.140 0.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 5 0.1267 0.8667 0.000 0.000 0.000 0.060 0.940 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.3804 0.8334 0.000 0.576 0.000 0.000 0.000 0.424
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 6 0.3823 -0.5116 0.000 0.436 0.000 0.000 0.000 0.564
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 6 0.3563 0.0548 0.000 0.336 0.000 0.000 0.000 0.664
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 6 0.0000 0.6821 0.000 0.000 0.000 0.000 0.000 1.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 6 0.3163 0.5653 0.000 0.232 0.000 0.000 0.004 0.764
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.9642 0.000 0.000 1.000 0.000 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0603 0.9007 0.980 0.016 0.000 0.000 0.004 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0603 0.9042 0.980 0.016 0.000 0.000 0.004 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.9642 0.000 0.000 1.000 0.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 6 0.0146 0.6813 0.000 0.004 0.000 0.000 0.000 0.996
#> 19342512-D282-4C35-B9A9-3A1180D594F4 6 0.0000 0.6821 0.000 0.000 0.000 0.000 0.000 1.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.9914 0.000 0.000 0.000 1.000 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 5 0.1075 0.8878 0.000 0.000 0.048 0.000 0.952 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 6 0.0000 0.6821 0.000 0.000 0.000 0.000 0.000 1.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.9642 0.000 0.000 1.000 0.000 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.3847 0.7777 0.000 0.544 0.000 0.000 0.000 0.456
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.3360 0.7668 0.732 0.264 0.000 0.000 0.004 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 5 0.0363 0.9179 0.000 0.000 0.012 0.000 0.988 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.3482 0.9354 0.000 0.684 0.000 0.000 0.000 0.316
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 6 0.0000 0.6821 0.000 0.000 0.000 0.000 0.000 1.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.3482 0.9354 0.000 0.684 0.000 0.000 0.000 0.316
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0508 0.9050 0.984 0.012 0.000 0.000 0.004 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.3482 0.9354 0.000 0.684 0.000 0.000 0.000 0.316
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.3482 0.9354 0.000 0.684 0.000 0.000 0.000 0.316
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 6 0.3838 -0.5474 0.000 0.448 0.000 0.000 0.000 0.552
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.9642 0.000 0.000 1.000 0.000 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.3634 0.7299 0.696 0.296 0.000 0.000 0.008 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0603 0.9042 0.980 0.016 0.000 0.000 0.004 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0603 0.9042 0.980 0.016 0.000 0.000 0.004 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 0.9914 0.000 0.000 0.000 1.000 0.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0260 0.9049 0.992 0.008 0.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 6 0.2378 0.5502 0.000 0.152 0.000 0.000 0.000 0.848
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.9642 0.000 0.000 1.000 0.000 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.1285 0.8949 0.944 0.052 0.000 0.000 0.004 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.5639 0.5456 0.552 0.304 0.000 0.000 0.012 0.132
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 6 0.0260 0.6777 0.000 0.008 0.000 0.000 0.000 0.992
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.1398 0.8807 0.940 0.052 0.000 0.000 0.008 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.3847 0.7764 0.000 0.544 0.000 0.000 0.000 0.456
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.9642 0.000 0.000 1.000 0.000 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 5 0.0363 0.9179 0.000 0.000 0.012 0.000 0.988 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.3107 0.7916 0.832 0.052 0.000 0.000 0.116 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0508 0.9050 0.984 0.012 0.000 0.000 0.004 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 6 0.1007 0.6642 0.000 0.044 0.000 0.000 0.000 0.956
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.2513 0.8431 0.852 0.140 0.000 0.000 0.008 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 6 0.0146 0.6807 0.000 0.004 0.000 0.000 0.000 0.996
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0000 0.9914 0.000 0.000 0.000 1.000 0.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 5 0.0363 0.9179 0.000 0.000 0.012 0.000 0.988 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 6 0.3999 0.3194 0.000 0.496 0.000 0.000 0.004 0.500
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 5 0.7403 0.2533 0.248 0.168 0.000 0.000 0.396 0.188
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0508 0.9050 0.984 0.012 0.000 0.000 0.004 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.4476 0.7163 0.676 0.268 0.000 0.000 0.008 0.048
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0000 0.9914 0.000 0.000 0.000 1.000 0.000 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.3784 0.7254 0.680 0.308 0.000 0.000 0.012 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.3360 0.7668 0.732 0.264 0.000 0.000 0.004 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0000 0.9914 0.000 0.000 0.000 1.000 0.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.3360 0.7668 0.732 0.264 0.000 0.000 0.004 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 6 0.2912 0.4386 0.000 0.216 0.000 0.000 0.000 0.784
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0146 0.9062 0.996 0.004 0.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 5 0.0363 0.9179 0.000 0.000 0.012 0.000 0.988 0.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 6 0.2260 0.5193 0.000 0.140 0.000 0.000 0.000 0.860
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0146 0.9062 0.996 0.004 0.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.3240 0.7697 0.752 0.244 0.000 0.000 0.004 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 6 0.4302 0.4411 0.008 0.296 0.000 0.016 0.008 0.672
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.5639 0.5456 0.552 0.304 0.000 0.000 0.012 0.132
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.9642 0.000 0.000 1.000 0.000 0.000 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.3482 0.9354 0.000 0.684 0.000 0.000 0.000 0.316
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.9642 0.000 0.000 1.000 0.000 0.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0858 0.9027 0.968 0.028 0.000 0.000 0.004 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.0000 0.9914 0.000 0.000 0.000 1.000 0.000 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 6 0.2730 0.3937 0.000 0.192 0.000 0.000 0.000 0.808
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.3101 0.7719 0.756 0.244 0.000 0.000 0.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.0000 0.9914 0.000 0.000 0.000 1.000 0.000 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.0260 0.9816 0.000 0.000 0.000 0.992 0.000 0.008
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 6 0.3390 0.4694 0.000 0.296 0.000 0.000 0.000 0.704
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.3073 0.8035 0.788 0.204 0.000 0.000 0.008 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.3482 0.9354 0.000 0.684 0.000 0.000 0.000 0.316
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.9642 0.000 0.000 1.000 0.000 0.000 0.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.3360 0.7668 0.732 0.264 0.000 0.000 0.004 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 6 0.0937 0.6528 0.000 0.040 0.000 0.000 0.000 0.960
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.3360 0.7668 0.732 0.264 0.000 0.000 0.004 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0000 0.9642 0.000 0.000 1.000 0.000 0.000 0.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.3482 0.9354 0.000 0.684 0.000 0.000 0.000 0.316
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 6 0.3592 -0.0869 0.000 0.344 0.000 0.000 0.000 0.656
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 6 0.0146 0.6808 0.004 0.000 0.000 0.000 0.000 0.996
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 6 0.5168 0.2240 0.360 0.004 0.084 0.000 0.000 0.552
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.3482 0.9354 0.000 0.684 0.000 0.000 0.000 0.316
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.3634 0.7299 0.696 0.296 0.000 0.000 0.008 0.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.3482 0.9354 0.000 0.684 0.000 0.000 0.000 0.316
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.0146 0.9066 0.996 0.000 0.000 0.000 0.004 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.3804 0.8334 0.000 0.576 0.000 0.000 0.000 0.424
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 6 0.3464 0.4498 0.000 0.312 0.000 0.000 0.000 0.688
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.3634 0.7299 0.696 0.296 0.000 0.000 0.008 0.000
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 6 0.0000 0.6821 0.000 0.000 0.000 0.000 0.000 1.000
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.0000 0.9642 0.000 0.000 1.000 0.000 0.000 0.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.3101 0.7719 0.756 0.244 0.000 0.000 0.000 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 6 0.4141 0.2392 0.388 0.016 0.000 0.000 0.000 0.596
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.3482 0.9354 0.000 0.684 0.000 0.000 0.000 0.316
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 3 0.0000 0.9642 0.000 0.000 1.000 0.000 0.000 0.000
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0146 0.9062 0.996 0.004 0.000 0.000 0.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 6 0.3482 0.1825 0.000 0.316 0.000 0.000 0.000 0.684
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 5 0.0363 0.9179 0.000 0.000 0.012 0.000 0.988 0.000
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 4 0.0000 0.9914 0.000 0.000 0.000 1.000 0.000 0.000
#> 45795A09-54FD-4805-82BB-20DBD7425579 6 0.0000 0.6821 0.000 0.000 0.000 0.000 0.000 1.000
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.3482 0.9354 0.000 0.684 0.000 0.000 0.000 0.316
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 3 0.0000 0.9642 0.000 0.000 1.000 0.000 0.000 0.000
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 1 0.3802 0.7241 0.676 0.312 0.000 0.000 0.012 0.000
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.3482 0.9354 0.000 0.684 0.000 0.000 0.000 0.316
#> 4C15BE7F-B855-4670-9E38-0A626527D981 3 0.0000 0.9642 0.000 0.000 1.000 0.000 0.000 0.000
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.3823 0.8169 0.000 0.564 0.000 0.000 0.000 0.436
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 6 0.3672 -0.2901 0.000 0.368 0.000 0.000 0.000 0.632
#> 0CE75D6A-B796-4982-9405-1602F9468945 1 0.0858 0.8954 0.968 0.028 0.000 0.000 0.004 0.000
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#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.1398 0.8807 0.940 0.052 0.000 0.000 0.008 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.3337 0.7673 0.736 0.260 0.000 0.000 0.004 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0146 0.9062 0.996 0.004 0.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.3482 0.9354 0.000 0.684 0.000 0.000 0.000 0.316
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 6 0.0363 0.6769 0.000 0.012 0.000 0.000 0.000 0.988
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0000 0.9914 0.000 0.000 0.000 1.000 0.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.6184 0.0913 0.388 0.264 0.000 0.000 0.004 0.344
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.3482 0.9354 0.000 0.684 0.000 0.000 0.000 0.316
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.3804 0.8334 0.000 0.576 0.000 0.000 0.000 0.424
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.3499 0.9324 0.000 0.680 0.000 0.000 0.000 0.320
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.3482 0.9354 0.000 0.684 0.000 0.000 0.000 0.316
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 6 0.1863 0.5728 0.000 0.104 0.000 0.000 0.000 0.896
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.3445 0.7622 0.732 0.260 0.000 0.000 0.008 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0146 0.9062 0.996 0.004 0.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0260 0.9048 0.992 0.008 0.000 0.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.3802 0.7241 0.676 0.312 0.000 0.000 0.012 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 5 0.0363 0.9179 0.000 0.000 0.012 0.000 0.988 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 6 0.0000 0.6821 0.000 0.000 0.000 0.000 0.000 1.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.3482 0.9354 0.000 0.684 0.000 0.000 0.000 0.316
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.6333 0.0495 0.356 0.308 0.000 0.000 0.008 0.328
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.4050 0.6181 0.000 0.000 0.000 0.716 0.048 0.236
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 5 0.0363 0.9179 0.000 0.000 0.012 0.000 0.988 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.3482 0.9354 0.000 0.684 0.000 0.000 0.000 0.316
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.3360 0.7668 0.732 0.264 0.000 0.000 0.004 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.1524 0.8786 0.932 0.060 0.000 0.000 0.008 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.3634 0.7299 0.696 0.296 0.000 0.000 0.008 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.9914 0.000 0.000 0.000 1.000 0.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9642 0.000 0.000 1.000 0.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.9642 0.000 0.000 1.000 0.000 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 5 0.5938 0.1891 0.000 0.280 0.000 0.000 0.460 0.260
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.3360 0.7668 0.732 0.264 0.000 0.000 0.004 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.1398 0.8807 0.940 0.052 0.000 0.000 0.008 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.3992 0.4163 0.624 0.012 0.000 0.000 0.364 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 6 0.0000 0.6821 0.000 0.000 0.000 0.000 0.000 1.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.3101 0.7719 0.756 0.244 0.000 0.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.9914 0.000 0.000 0.000 1.000 0.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.3240 0.7697 0.752 0.244 0.000 0.000 0.004 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0146 0.9062 0.996 0.004 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0508 0.9050 0.984 0.012 0.000 0.000 0.004 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0146 0.9062 0.996 0.004 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9065 1.000 0.000 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.3337 0.7673 0.736 0.260 0.000 0.000 0.004 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.3101 0.7719 0.756 0.244 0.000 0.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.3563 0.9145 0.000 0.664 0.000 0.000 0.000 0.336
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.9914 0.000 0.000 0.000 1.000 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0692 0.9035 0.976 0.020 0.000 0.000 0.004 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.3804 0.8334 0.000 0.576 0.000 0.000 0.000 0.424
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.3797 0.8384 0.000 0.580 0.000 0.000 0.000 0.420
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.3101 0.7719 0.756 0.244 0.000 0.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.3634 0.7299 0.696 0.296 0.000 0.000 0.008 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.9914 0.000 0.000 0.000 1.000 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 5 0.0363 0.9179 0.000 0.000 0.012 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["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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.968 0.979 0.3592 0.654 0.654
#> 3 3 0.879 0.901 0.952 0.7760 0.699 0.542
#> 4 4 0.890 0.855 0.937 0.0700 0.946 0.852
#> 5 5 0.878 0.860 0.936 0.0790 0.900 0.706
#> 6 6 0.805 0.803 0.894 0.0835 0.909 0.670
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
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.9732 0.396 0.596 0.404
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.973 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.0000 0.999 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.973 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.3733 0.917 0.928 0.072
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 1 0.2948 0.961 0.948 0.052
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 1 0.2948 0.961 0.948 0.052
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 1 0.2948 0.961 0.948 0.052
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 1 0.2948 0.961 0.948 0.052
#> 6F178361-2A14-4245-8A35-13A0174231E4 1 0.2948 0.961 0.948 0.052
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.0000 0.999 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.973 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.973 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.0000 0.999 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 1 0.2948 0.961 0.948 0.052
#> 19342512-D282-4C35-B9A9-3A1180D594F4 1 0.2948 0.961 0.948 0.052
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.973 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0000 0.999 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 2 0.0000 0.999 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.973 1.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.973 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.973 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 1 0.2948 0.961 0.948 0.052
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 2 0.0000 0.999 0.000 1.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 1 0.2948 0.961 0.948 0.052
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.973 1.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.0000 0.999 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 1 0.2948 0.961 0.948 0.052
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 1 0.2948 0.961 0.948 0.052
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 1 0.2948 0.961 0.948 0.052
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.973 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 1 0.2948 0.961 0.948 0.052
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 1 0.2948 0.961 0.948 0.052
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 1 0.2948 0.961 0.948 0.052
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.0000 0.999 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0376 0.972 0.996 0.004
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.973 1.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.973 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0000 0.999 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.973 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 1 0.2948 0.961 0.948 0.052
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.0000 0.999 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.973 1.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.973 1.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 1 0.2948 0.961 0.948 0.052
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0376 0.972 0.996 0.004
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.973 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 1 0.2948 0.961 0.948 0.052
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.0000 0.999 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.0000 0.999 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.6531 0.840 0.832 0.168
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.973 1.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 1 0.2948 0.961 0.948 0.052
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.973 1.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.973 1.000 0.000
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#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.973 1.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 2 0.0000 0.999 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.973 1.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.3274 0.954 0.940 0.060
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.973 1.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.973 1.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 1 0.2948 0.961 0.948 0.052
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 1 0.2948 0.961 0.948 0.052
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.0000 0.999 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.2778 0.962 0.952 0.048
#> 9860FE99-6582-4D51-8CAF-92738855F425 1 0.2948 0.961 0.948 0.052
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.973 1.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.973 1.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 1 0.2948 0.961 0.948 0.052
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 1 0.2948 0.961 0.948 0.052
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 1 0.2948 0.961 0.948 0.052
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 1 0.2948 0.961 0.948 0.052
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.973 1.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.973 1.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.973 1.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.973 1.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.973 1.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.1414 0.962 0.980 0.020
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.973 1.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.0000 0.999 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 1 0.2948 0.961 0.948 0.052
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 1 0.2948 0.961 0.948 0.052
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.2236 0.965 0.964 0.036
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.973 1.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.0000 0.999 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 2 0.0000 0.999 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 1 0.2948 0.961 0.948 0.052
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.973 1.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.973 1.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.973 1.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.0000 0.999 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 2 0.0000 0.999 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 2 0.0000 0.999 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 1 0.3114 0.959 0.944 0.056
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.973 1.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.1184 0.969 0.984 0.016
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.9427 0.505 0.640 0.360
#> BE787416-396B-48B4-A5D2-8E2EE082D001 1 0.2948 0.961 0.948 0.052
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.973 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.973 1.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.0000 0.999 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.973 1.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.973 1.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.973 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.973 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.973 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.973 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.973 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.973 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.973 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.973 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.973 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 1 0.2948 0.961 0.948 0.052
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.999 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.973 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 1 0.2948 0.961 0.948 0.052
#> ACCFCE18-1113-4203-845F-4608539005FE 1 0.2948 0.961 0.948 0.052
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.973 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.973 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.0000 0.999 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 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
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.6527 0.306 0.008 0.588 0.404
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.976 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.4062 0.875 0.000 0.164 0.836
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.976 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.6169 0.395 0.636 0.004 0.360
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0424 0.930 0.008 0.992 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0424 0.930 0.008 0.992 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0424 0.930 0.008 0.992 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0424 0.930 0.008 0.992 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0424 0.930 0.008 0.992 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.924 0.000 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.976 1.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.976 1.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.924 0.000 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0424 0.930 0.008 0.992 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0424 0.930 0.008 0.992 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.976 1.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.4062 0.875 0.000 0.164 0.836
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.924 0.000 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.6244 0.181 0.560 0.440 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.976 1.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.976 1.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0424 0.930 0.008 0.992 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.924 0.000 0.000 1.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0424 0.930 0.008 0.992 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.976 1.000 0.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.924 0.000 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0424 0.930 0.008 0.992 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0424 0.930 0.008 0.992 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0424 0.930 0.008 0.992 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.976 1.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0424 0.930 0.008 0.992 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0424 0.930 0.008 0.992 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0424 0.930 0.008 0.992 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.924 0.000 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 2 0.9231 0.331 0.184 0.516 0.300
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.976 1.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.2261 0.907 0.932 0.068 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.4062 0.875 0.000 0.164 0.836
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.976 1.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0424 0.930 0.008 0.992 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.924 0.000 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.976 1.000 0.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.976 1.000 0.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0424 0.930 0.008 0.992 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 2 0.9290 0.181 0.164 0.464 0.372
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.976 1.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0424 0.930 0.008 0.992 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.924 0.000 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.924 0.000 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 2 0.6416 0.384 0.008 0.616 0.376
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.976 1.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.5580 0.628 0.008 0.736 0.256
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.976 1.000 0.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.5330 0.773 0.812 0.144 0.044
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0424 0.930 0.008 0.992 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 3 0.4062 0.875 0.000 0.164 0.836
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.976 1.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.924 0.000 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0424 0.930 0.008 0.992 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.6155 0.497 0.008 0.664 0.328
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.976 1.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.6168 0.269 0.588 0.412 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.4062 0.875 0.000 0.164 0.836
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.976 1.000 0.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.976 1.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.976 1.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.3879 0.803 0.848 0.152 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 3 0.4062 0.875 0.000 0.164 0.836
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.6244 0.180 0.560 0.440 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0424 0.930 0.008 0.992 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.976 1.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0000 0.924 0.000 0.000 1.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.976 1.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0424 0.930 0.008 0.992 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.976 1.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.7365 0.623 0.188 0.700 0.112
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 2 0.6155 0.497 0.008 0.664 0.328
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.0000 0.976 1.000 0.000 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.924 0.000 0.000 1.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.976 1.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0424 0.930 0.008 0.992 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.976 1.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.976 1.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.924 0.000 0.000 1.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.976 1.000 0.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 3 0.4062 0.875 0.000 0.164 0.836
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0424 0.930 0.008 0.992 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.976 1.000 0.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.976 1.000 0.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.976 1.000 0.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.976 1.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 3 0.4062 0.875 0.000 0.164 0.836
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 3 0.4062 0.875 0.000 0.164 0.836
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.976 1.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.0424 0.930 0.008 0.992 0.000
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.976 1.000 0.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.976 1.000 0.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0424 0.930 0.008 0.992 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.924 0.000 0.000 1.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.976 1.000 0.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.976 1.000 0.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0424 0.930 0.008 0.992 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.976 1.000 0.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0000 0.924 0.000 0.000 1.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.976 1.000 0.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0424 0.930 0.008 0.992 0.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.0424 0.930 0.008 0.992 0.000
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.0424 0.930 0.008 0.992 0.000
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 2 0.3826 0.810 0.008 0.868 0.124
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0424 0.930 0.008 0.992 0.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 2 0.6307 0.492 0.012 0.660 0.328
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#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.924 0.000 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.924 0.000 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.2173 0.889 0.008 0.944 0.048
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.976 1.000 0.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 2 0.9138 0.196 0.148 0.476 0.376
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 2 0.6416 0.384 0.008 0.616 0.376
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0424 0.930 0.008 0.992 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.976 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.976 1.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.4062 0.875 0.000 0.164 0.836
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.976 1.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.976 1.000 0.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.976 1.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.976 1.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.976 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.976 1.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.976 1.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.976 1.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.976 1.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.1411 0.941 0.964 0.036 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.976 1.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0424 0.930 0.008 0.992 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.4062 0.875 0.000 0.164 0.836
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.976 1.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0424 0.930 0.008 0.992 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0424 0.930 0.008 0.992 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.976 1.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.976 1.000 0.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.4062 0.875 0.000 0.164 0.836
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.924 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 4 0.7815 0.33922 0.000 0.256 0.352 0.392
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.3108 0.74556 0.000 0.016 0.112 0.872
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.5000 0.71184 0.772 0.000 0.128 0.100
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.5300 0.22573 0.000 0.580 0.012 0.408
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.97790 0.000 0.000 1.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0336 0.96792 0.992 0.000 0.000 0.008
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.97790 0.000 0.000 1.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.5320 0.20120 0.000 0.572 0.012 0.416
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0188 0.97048 0.996 0.000 0.000 0.004
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0817 0.78395 0.000 0.000 0.024 0.976
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0469 0.97735 0.000 0.000 0.988 0.012
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.5100 0.67422 0.752 0.052 0.004 0.192
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0336 0.89349 0.000 0.992 0.000 0.008
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.1637 0.93799 0.000 0.000 0.940 0.060
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.4356 0.52656 0.000 0.708 0.000 0.292
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0524 0.96450 0.988 0.004 0.000 0.008
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0469 0.97735 0.000 0.000 0.988 0.012
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.97790 0.000 0.000 1.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 4 0.8495 0.31271 0.112 0.376 0.080 0.432
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0707 0.95796 0.980 0.000 0.000 0.020
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0817 0.78395 0.000 0.000 0.024 0.976
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.97790 0.000 0.000 1.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.4235 0.73655 0.792 0.004 0.016 0.188
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 4 0.8169 0.42127 0.324 0.084 0.088 0.504
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.97790 0.000 0.000 1.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0469 0.97735 0.000 0.000 0.988 0.012
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 4 0.7180 0.53898 0.000 0.264 0.188 0.548
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.6599 -0.06682 0.000 0.488 0.080 0.432
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.5692 0.67642 0.752 0.088 0.024 0.136
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0336 0.89337 0.000 0.992 0.000 0.008
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0817 0.78395 0.000 0.000 0.024 0.976
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0469 0.97735 0.000 0.000 0.988 0.012
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.5290 0.23725 0.000 0.584 0.012 0.404
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.6611 -0.14997 0.000 0.464 0.080 0.456
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.5910 0.49534 0.672 0.244 0.000 0.084
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0921 0.78257 0.000 0.000 0.028 0.972
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.3842 0.80027 0.836 0.036 0.000 0.128
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0817 0.78395 0.000 0.000 0.024 0.976
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.7293 -0.01251 0.476 0.368 0.000 0.156
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0469 0.97735 0.000 0.000 0.988 0.012
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 4 0.8449 0.30517 0.112 0.380 0.076 0.432
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 2 0.6599 -0.06536 0.000 0.488 0.080 0.432
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.3074 0.81249 0.848 0.000 0.000 0.152
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0469 0.97735 0.000 0.000 0.988 0.012
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.97790 0.000 0.000 1.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.0817 0.78395 0.000 0.000 0.024 0.976
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.0817 0.78395 0.000 0.000 0.024 0.976
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.2861 0.74837 0.000 0.016 0.096 0.888
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.5320 0.20120 0.000 0.572 0.012 0.416
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.97790 0.000 0.000 1.000 0.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0000 0.97790 0.000 0.000 1.000 0.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.0592 0.88700 0.000 0.984 0.000 0.016
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.0469 0.89066 0.000 0.988 0.000 0.012
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 4 0.6953 0.44793 0.000 0.336 0.128 0.536
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 4 0.7911 0.21307 0.060 0.428 0.080 0.432
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 4 0.8328 0.41418 0.172 0.304 0.044 0.480
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.5039 0.25570 0.000 0.592 0.004 0.404
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.0000 0.97790 0.000 0.000 1.000 0.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 4 0.6529 0.35809 0.000 0.388 0.080 0.532
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 3 0.0000 0.97790 0.000 0.000 1.000 0.000
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 3 0.0469 0.97735 0.000 0.000 0.988 0.012
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 4 0.0817 0.78395 0.000 0.000 0.024 0.976
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.0000 0.89986 0.000 1.000 0.000 0.000
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#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.2730 0.75203 0.000 0.016 0.088 0.896
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0469 0.97735 0.000 0.000 0.988 0.012
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0817 0.78395 0.000 0.000 0.024 0.976
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.97790 0.000 0.000 1.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.97790 0.000 0.000 1.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 4 0.6850 0.37043 0.000 0.376 0.108 0.516
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.1042 0.95109 0.972 0.008 0.000 0.020
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 4 0.8118 0.52515 0.100 0.264 0.088 0.548
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 4 0.7180 0.53898 0.000 0.264 0.188 0.548
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0817 0.78395 0.000 0.000 0.024 0.976
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0707 0.95796 0.980 0.000 0.000 0.020
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.1174 0.94747 0.968 0.012 0.000 0.020
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0817 0.78395 0.000 0.000 0.024 0.976
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.89986 0.000 1.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.97366 1.000 0.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0707 0.95714 0.980 0.000 0.000 0.020
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0817 0.78395 0.000 0.000 0.024 0.976
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0469 0.97735 0.000 0.000 0.988 0.012
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 5 0.3975 0.5933 0.000 0.008 0.240 0.008 0.744
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.2891 0.7893 0.824 0.000 0.000 0.000 0.176
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 5 0.4944 0.3512 0.000 0.004 0.032 0.344 0.620
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.5109 0.2485 0.580 0.000 0.028 0.008 0.384
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0162 0.9564 0.000 0.996 0.000 0.000 0.004
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0162 0.9564 0.000 0.996 0.000 0.000 0.004
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.3074 0.7474 0.000 0.804 0.000 0.000 0.196
#> 6F178361-2A14-4245-8A35-13A0174231E4 5 0.1798 0.7331 0.000 0.064 0.004 0.004 0.928
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.9773 0.000 0.000 1.000 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.1270 0.9288 0.948 0.000 0.000 0.000 0.052
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.2377 0.8616 0.872 0.000 0.000 0.000 0.128
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.9773 0.000 0.000 1.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 5 0.1731 0.7342 0.000 0.060 0.004 0.004 0.932
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.2074 0.8631 0.000 0.896 0.000 0.000 0.104
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0771 0.9450 0.976 0.000 0.000 0.004 0.020
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.9884 0.000 0.000 0.000 1.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0162 0.9772 0.000 0.000 0.996 0.000 0.004
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 5 0.3612 0.6154 0.228 0.008 0.000 0.000 0.764
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0880 0.9430 0.968 0.000 0.000 0.000 0.032
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.4060 0.4308 0.000 0.640 0.000 0.000 0.360
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.3884 0.5942 0.000 0.000 0.708 0.004 0.288
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 5 0.2124 0.7205 0.000 0.096 0.000 0.004 0.900
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.4278 0.1210 0.548 0.000 0.000 0.000 0.452
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0324 0.9770 0.000 0.000 0.992 0.004 0.004
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0162 0.9564 0.000 0.996 0.000 0.000 0.004
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.9773 0.000 0.000 1.000 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.0898 0.7328 0.020 0.000 0.008 0.000 0.972
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 5 0.4278 0.1986 0.452 0.000 0.000 0.000 0.548
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 0.9884 0.000 0.000 0.000 1.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.1341 0.9273 0.944 0.000 0.000 0.000 0.056
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.9773 0.000 0.000 1.000 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0609 0.9480 0.980 0.000 0.000 0.000 0.020
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.1792 0.7122 0.084 0.000 0.000 0.000 0.916
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.2074 0.8637 0.000 0.896 0.000 0.000 0.104
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 5 0.1404 0.7342 0.004 0.004 0.028 0.008 0.956
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.9773 0.000 0.000 1.000 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0324 0.9770 0.000 0.000 0.992 0.004 0.004
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 5 0.1369 0.7351 0.000 0.008 0.028 0.008 0.956
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 5 0.2267 0.7362 0.000 0.048 0.028 0.008 0.916
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.3366 0.7101 0.768 0.000 0.000 0.000 0.232
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 5 0.4653 0.5234 0.324 0.008 0.016 0.000 0.652
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.3999 0.4724 0.000 0.656 0.000 0.000 0.344
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0000 0.9884 0.000 0.000 0.000 1.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0324 0.9770 0.000 0.000 0.992 0.004 0.004
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 5 0.1731 0.7345 0.000 0.060 0.004 0.004 0.932
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 5 0.1686 0.7360 0.000 0.020 0.028 0.008 0.944
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0703 0.9462 0.976 0.000 0.000 0.000 0.024
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 5 0.2966 0.6474 0.184 0.000 0.000 0.000 0.816
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0162 0.9847 0.000 0.000 0.004 0.996 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.3424 0.6969 0.760 0.000 0.000 0.000 0.240
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0609 0.9482 0.980 0.000 0.000 0.000 0.020
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 5 0.2852 0.6575 0.172 0.000 0.000 0.000 0.828
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0000 0.9884 0.000 0.000 0.000 1.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 5 0.4183 0.5332 0.324 0.008 0.000 0.000 0.668
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0324 0.9770 0.000 0.000 0.992 0.004 0.004
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 5 0.0771 0.7318 0.020 0.000 0.004 0.000 0.976
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 5 0.1588 0.7361 0.000 0.016 0.028 0.008 0.948
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 5 0.2516 0.6815 0.140 0.000 0.000 0.000 0.860
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0324 0.9770 0.000 0.000 0.992 0.004 0.004
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0162 0.9544 0.996 0.000 0.000 0.000 0.004
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.9773 0.000 0.000 1.000 0.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.0000 0.9884 0.000 0.000 0.000 1.000 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0162 0.9545 0.996 0.000 0.000 0.000 0.004
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.0000 0.9884 0.000 0.000 0.000 1.000 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 5 0.5329 0.2845 0.000 0.004 0.052 0.360 0.584
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 5 0.1731 0.7342 0.000 0.060 0.004 0.004 0.932
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0510 0.9498 0.984 0.000 0.000 0.000 0.016
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0510 0.9502 0.984 0.000 0.000 0.000 0.016
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.9773 0.000 0.000 1.000 0.000 0.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0404 0.9518 0.988 0.000 0.000 0.000 0.012
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0794 0.9444 0.972 0.000 0.000 0.000 0.028
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0000 0.9773 0.000 0.000 1.000 0.000 0.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.4256 0.2089 0.000 0.564 0.000 0.000 0.436
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 5 0.4302 0.0804 0.000 0.480 0.000 0.000 0.520
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 5 0.1885 0.7370 0.000 0.044 0.020 0.004 0.932
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 5 0.1518 0.7387 0.020 0.012 0.016 0.000 0.952
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 5 0.2358 0.7058 0.104 0.008 0.000 0.000 0.888
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0404 0.9517 0.988 0.000 0.000 0.000 0.012
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
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#> 930D8D62-7145-435E-8D7F-367EC56E1296 5 0.4298 0.4889 0.352 0.008 0.000 0.000 0.640
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 5 0.2068 0.7234 0.000 0.092 0.000 0.004 0.904
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.9773 0.000 0.000 1.000 0.000 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 5 0.2732 0.6669 0.160 0.000 0.000 0.000 0.840
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.9773 0.000 0.000 1.000 0.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 5 0.1369 0.7351 0.000 0.008 0.028 0.008 0.956
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.3242 0.7184 0.000 0.784 0.000 0.000 0.216
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0000 0.9884 0.000 0.000 0.000 1.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 5 0.2787 0.7108 0.104 0.012 0.004 0.004 0.876
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 5 0.3906 0.5361 0.000 0.292 0.000 0.004 0.704
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0162 0.9545 0.996 0.000 0.000 0.000 0.004
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.1544 0.9185 0.932 0.000 0.000 0.000 0.068
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 5 0.5190 0.2973 0.424 0.000 0.028 0.008 0.540
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.4171 0.3474 0.604 0.000 0.000 0.000 0.396
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0324 0.9770 0.000 0.000 0.992 0.004 0.004
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 5 0.4101 0.3958 0.000 0.372 0.000 0.000 0.628
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.1082 0.7319 0.000 0.000 0.028 0.008 0.964
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 5 0.4869 0.3564 0.000 0.004 0.028 0.344 0.624
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0324 0.9770 0.000 0.000 0.992 0.004 0.004
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0609 0.9480 0.980 0.000 0.000 0.000 0.020
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.1544 0.9184 0.932 0.000 0.000 0.000 0.068
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0963 0.9397 0.964 0.000 0.000 0.000 0.036
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.9884 0.000 0.000 0.000 1.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9773 0.000 0.000 1.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0290 0.9725 0.000 0.000 0.992 0.000 0.008
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 5 0.1901 0.7356 0.000 0.056 0.012 0.004 0.928
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.4192 0.3654 0.404 0.000 0.000 0.000 0.596
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.1369 0.7351 0.000 0.008 0.028 0.008 0.956
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 5 0.1369 0.7351 0.000 0.008 0.028 0.008 0.956
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0880 0.9422 0.968 0.000 0.000 0.000 0.032
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.9884 0.000 0.000 0.000 1.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.2424 0.8480 0.868 0.000 0.000 0.000 0.132
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.4227 0.2963 0.420 0.000 0.000 0.000 0.580
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0162 0.9544 0.996 0.000 0.000 0.000 0.004
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0162 0.9544 0.996 0.000 0.000 0.000 0.004
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.4249 0.2626 0.432 0.000 0.000 0.000 0.568
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9555 1.000 0.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.9884 0.000 0.000 0.000 1.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.1270 0.9307 0.948 0.000 0.000 0.000 0.052
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.9594 0.000 1.000 0.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0609 0.9486 0.980 0.000 0.000 0.000 0.020
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.2891 0.8003 0.824 0.000 0.000 0.000 0.176
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.9884 0.000 0.000 0.000 1.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0324 0.9770 0.000 0.000 0.992 0.004 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 6 0.3046 0.67982 0.000 0.000 0.188 0.000 0.012 0.800
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 5 0.3288 0.72112 0.276 0.000 0.000 0.000 0.724 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 6 0.1434 0.79057 0.000 0.000 0.012 0.048 0.000 0.940
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.88652 1.000 0.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 6 0.4591 0.52752 0.208 0.000 0.012 0.000 0.076 0.704
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.1531 0.91558 0.000 0.928 0.000 0.000 0.068 0.004
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.1531 0.91558 0.000 0.928 0.000 0.000 0.068 0.004
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.1471 0.91740 0.000 0.932 0.000 0.000 0.064 0.004
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.4422 0.61268 0.000 0.680 0.000 0.000 0.068 0.252
#> 6F178361-2A14-4245-8A35-13A0174231E4 6 0.2573 0.75878 0.000 0.112 0.000 0.000 0.024 0.864
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.95962 0.000 0.000 1.000 0.000 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 5 0.2135 0.81856 0.128 0.000 0.000 0.000 0.872 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 5 0.4332 0.58339 0.316 0.000 0.000 0.000 0.644 0.040
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.95962 0.000 0.000 1.000 0.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 6 0.1983 0.78421 0.000 0.072 0.000 0.000 0.020 0.908
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.3150 0.83121 0.000 0.832 0.000 0.000 0.064 0.104
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.1757 0.85770 0.916 0.000 0.000 0.000 0.076 0.008
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.98618 0.000 0.000 0.000 1.000 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0713 0.96057 0.000 0.000 0.972 0.000 0.000 0.028
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 6 0.4699 0.51162 0.104 0.000 0.000 0.000 0.228 0.668
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0790 0.87912 0.968 0.000 0.000 0.000 0.032 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.2941 0.69475 0.780 0.000 0.000 0.000 0.220 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.4859 0.46158 0.000 0.604 0.000 0.000 0.080 0.316
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 6 0.3756 0.41126 0.000 0.000 0.352 0.000 0.004 0.644
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 6 0.3424 0.68491 0.000 0.204 0.000 0.000 0.024 0.772
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 5 0.3952 0.64296 0.308 0.000 0.000 0.000 0.672 0.020
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0790 0.96024 0.000 0.000 0.968 0.000 0.000 0.032
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0865 0.92990 0.000 0.964 0.000 0.000 0.036 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0458 0.93268 0.000 0.984 0.000 0.000 0.016 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0865 0.92990 0.000 0.964 0.000 0.000 0.036 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0146 0.88584 0.996 0.000 0.000 0.000 0.004 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.1588 0.91526 0.000 0.924 0.000 0.000 0.072 0.004
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0146 0.93241 0.000 0.996 0.000 0.000 0.004 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0260 0.93245 0.000 0.992 0.000 0.000 0.008 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.95962 0.000 0.000 1.000 0.000 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 6 0.3464 0.46254 0.000 0.000 0.000 0.000 0.312 0.688
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0632 0.88463 0.976 0.000 0.000 0.000 0.024 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 5 0.2962 0.77453 0.068 0.000 0.000 0.000 0.848 0.084
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 0.98618 0.000 0.000 0.000 1.000 0.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 5 0.2454 0.81278 0.160 0.000 0.000 0.000 0.840 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0260 0.93245 0.000 0.992 0.000 0.000 0.008 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.95962 0.000 0.000 1.000 0.000 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 5 0.3684 0.52859 0.372 0.000 0.000 0.000 0.628 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.1958 0.72305 0.004 0.000 0.000 0.000 0.896 0.100
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.1644 0.91209 0.000 0.920 0.000 0.000 0.076 0.004
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 6 0.1152 0.79970 0.004 0.000 0.000 0.000 0.044 0.952
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.88652 1.000 0.000 0.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0146 0.93241 0.000 0.996 0.000 0.000 0.004 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.95962 0.000 0.000 1.000 0.000 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0790 0.96024 0.000 0.000 0.968 0.000 0.000 0.032
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 6 0.0937 0.80125 0.000 0.000 0.000 0.000 0.040 0.960
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.1075 0.87617 0.952 0.000 0.000 0.000 0.048 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 6 0.0458 0.80509 0.000 0.000 0.000 0.000 0.016 0.984
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.2118 0.81561 0.104 0.000 0.000 0.000 0.888 0.008
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 5 0.5829 0.30059 0.188 0.000 0.000 0.000 0.432 0.380
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.4620 0.53797 0.000 0.640 0.000 0.000 0.068 0.292
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0000 0.98618 0.000 0.000 0.000 1.000 0.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.88652 1.000 0.000 0.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0790 0.96024 0.000 0.000 0.968 0.000 0.000 0.032
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 6 0.2491 0.76022 0.000 0.112 0.000 0.000 0.020 0.868
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 6 0.0363 0.80432 0.000 0.000 0.000 0.000 0.012 0.988
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 5 0.3756 0.42341 0.400 0.000 0.000 0.000 0.600 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 5 0.3078 0.64351 0.012 0.000 0.000 0.000 0.796 0.192
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0000 0.98618 0.000 0.000 0.000 1.000 0.000 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 5 0.2282 0.80950 0.088 0.000 0.000 0.000 0.888 0.024
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.88652 1.000 0.000 0.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.3717 0.37744 0.616 0.000 0.000 0.000 0.384 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 5 0.2623 0.71446 0.016 0.000 0.000 0.000 0.852 0.132
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0000 0.98618 0.000 0.000 0.000 1.000 0.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 5 0.5940 0.33359 0.228 0.000 0.000 0.000 0.440 0.332
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0547 0.93191 0.000 0.980 0.000 0.000 0.020 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.88652 1.000 0.000 0.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0790 0.96024 0.000 0.000 0.968 0.000 0.000 0.032
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0790 0.88136 0.968 0.000 0.000 0.000 0.032 0.000
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Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "NMF"]
# you can also extract it by
# res = res_list["SD:NMF"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 4.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.985 0.993 0.5014 0.499 0.499
#> 3 3 1.000 0.983 0.993 0.2615 0.843 0.693
#> 4 4 0.932 0.893 0.949 0.0638 0.959 0.889
#> 5 5 0.765 0.714 0.847 0.0963 0.878 0.667
#> 6 6 0.867 0.805 0.914 0.0422 0.934 0.774
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 4
#> attr(,"optional")
#> [1] 2 3
There is also optional best \(k\) = 2 3 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.0000 0.9944 0.000 1.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9924 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.0000 0.9944 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9924 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9924 1.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.9944 0.000 1.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.9944 0.000 1.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.9944 0.000 1.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.9944 0.000 1.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.9944 0.000 1.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.0000 0.9944 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9924 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9924 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.0000 0.9944 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.9944 0.000 1.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.9944 0.000 1.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9924 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0000 0.9944 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 2 0.0000 0.9944 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9924 1.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9924 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9924 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.9944 0.000 1.000
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#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.0000 0.9944 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.9944 0.000 1.000
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#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.9944 0.000 1.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9924 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.9944 0.000 1.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.9944 0.000 1.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9944 0.000 1.000
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#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.9924 1.000 0.000
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#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.9924 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0000 0.9944 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.9924 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9944 0.000 1.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.0000 0.9944 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.9924 1.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.9924 1.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.9944 0.000 1.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.9924 1.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9924 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9944 0.000 1.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.0000 0.9944 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.0000 0.9944 0.000 1.000
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#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9924 1.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.0000 0.9944 0.000 1.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.9924 1.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.9924 1.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.9944 0.000 1.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.0000 0.9944 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9924 1.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 2 0.0000 0.9944 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.9944 0.000 1.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.6438 0.8046 0.164 0.836
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.9924 1.000 0.000
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#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.9924 1.000 0.000
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#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.9924 1.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.0000 0.9924 1.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.0000 0.9944 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.9924 1.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.9944 0.000 1.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.9924 1.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 2 0.0000 0.9944 0.000 1.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.9924 1.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0376 0.9907 0.004 0.996
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.9924 1.000 0.000
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#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.9924 1.000 0.000
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#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 2 0.0000 0.9944 0.000 1.000
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#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.9924 1.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.0000 0.9944 0.000 1.000
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#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.9924 1.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 2 0.0000 0.9944 0.000 1.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.9924 1.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0000 0.9944 0.000 1.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 1 0.9988 0.0846 0.520 0.480
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#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.0000 0.9944 0.000 1.000
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#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.0000 0.9924 1.000 0.000
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 2 0.0000 0.9944 0.000 1.000
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#> B2EA5A29-4642-4364-A733-C30E5A9FA38E 2 0.0000 0.9944 0.000 1.000
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#> F5A64B5A-54BA-41A1-8CA2-75D27C5680D3 1 0.0000 0.9924 1.000 0.000
#> 1506AC5C-E9D2-469A-8B74-AD6FDA81031B 1 0.0000 0.9924 1.000 0.000
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#> 39E585E6-19F6-4767-BACF-1E7C73C1A1ED 1 0.0000 0.9924 1.000 0.000
#> BA1B4D2D-549E-4D88-BA99-968D79B325B6 1 0.0000 0.9924 1.000 0.000
#> 0497195D-372B-47A6-95D7-1CF3E5D0EBC3 2 0.0000 0.9944 0.000 1.000
#> 979D8EDA-9FC5-44F1-9A4B-B4B4E0334E71 2 0.0000 0.9944 0.000 1.000
#> 01EAF933-A083-47C2-A015-9C6CD8CEC520 1 0.0000 0.9924 1.000 0.000
#> BCCAE932-7C2D-47CD-89C1-1A1886F9D2A5 1 0.0000 0.9924 1.000 0.000
#> 6F7E9F0D-164E-4696-A353-18D379AA4EF7 1 0.0000 0.9924 1.000 0.000
#> B7D1197D-B353-4839-A895-368613243FB7 1 0.0000 0.9924 1.000 0.000
#> ACCEC75A-8EDF-4D83-97DE-BD30FACAC774 2 0.0000 0.9944 0.000 1.000
#> 4087D782-4CB8-4A7F-AE4B-665BADA410B8 2 0.0000 0.9944 0.000 1.000
#> 0C4131D9-0CE6-4476-80F1-3B69B777B658 2 0.0000 0.9944 0.000 1.000
#> 54092E76-4C27-4A4B-8348-8748FCE728A6 1 0.0000 0.9924 1.000 0.000
#> E0353276-F075-43F3-BB95-3AA315D40505 2 0.0000 0.9944 0.000 1.000
#> 580F828B-2333-48F7-BA05-E9B6EF1AA3D5 1 0.0000 0.9924 1.000 0.000
#> C051D793-4538-4D76-BFC2-0C08EAA57371 1 0.0000 0.9924 1.000 0.000
#> 50893EF9-5D78-4731-B614-8E7F4AC5FA5F 1 0.0000 0.9924 1.000 0.000
#> F235BBBB-4364-4BEE-88C8-9075208D1B96 2 0.0000 0.9944 0.000 1.000
#> 73A25F6E-99C8-4C55-9E6C-8457BE8E44C0 2 0.0672 0.9869 0.008 0.992
#> 4C7213E4-7845-49FC-924A-2BC7A7AEB519 2 0.0000 0.9944 0.000 1.000
#> B8E40A95-9DF7-4EEE-B7D9-D17FA6B8AB2C 1 0.0000 0.9924 1.000 0.000
#> 766E5BEF-D5FC-4C60-831C-88667F858375 2 0.0000 0.9944 0.000 1.000
#> 31110A59-6DD4-4EDD-A056-C45DBC8966CC 1 0.0000 0.9924 1.000 0.000
#> 0816836B-3F01-45BC-A843-00867E98FAD7 2 0.0000 0.9944 0.000 1.000
#> 708F24EB-4551-4A3F-8E59-FA76ABE305D7 1 0.0000 0.9924 1.000 0.000
#> 6EF22E72-6FCD-4645-8E8A-F6F117387082 1 0.0000 0.9924 1.000 0.000
#> 680DFFFE-43F3-4A48-A662-FFE89FB43B04 1 0.0000 0.9924 1.000 0.000
#> 4BB7CD09-ECE2-4774-B82C-949B6558C4D2 2 0.0376 0.9907 0.004 0.996
#> 10E55344-362E-4982-B9EF-BE428086D27E 2 0.0000 0.9944 0.000 1.000
#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 2 0.0000 0.9944 0.000 1.000
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.0000 0.9924 1.000 0.000
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 2 0.0672 0.9869 0.008 0.992
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.0000 0.9924 1.000 0.000
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.0000 0.9944 0.000 1.000
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 2 0.0000 0.9944 0.000 1.000
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.0000 0.9924 1.000 0.000
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 2 0.0000 0.9944 0.000 1.000
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 2 0.0000 0.9944 0.000 1.000
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 2 0.0000 0.9944 0.000 1.000
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.0000 0.9944 0.000 1.000
#> 347C4168-42C5-494B-8080-2C244F6201FF 1 0.0000 0.9924 1.000 0.000
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0000 0.9944 0.000 1.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 2 0.0000 0.9944 0.000 1.000
#> 59363737-247E-4524-B7CD-F43B2C861027 2 0.0000 0.9944 0.000 1.000
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 2 0.0000 0.9944 0.000 1.000
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0000 0.9924 1.000 0.000
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 2 0.0000 0.9944 0.000 1.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.0000 0.9944 0.000 1.000
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 2 0.0000 0.9944 0.000 1.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0000 0.9944 0.000 1.000
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 2 0.0000 0.9944 0.000 1.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.9924 1.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.1184 0.9773 0.984 0.016
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.9924 1.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.9924 1.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.9944 0.000 1.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.9924 1.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.9924 1.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.9924 1.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.9924 1.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.9924 1.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.9924 1.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.9944 0.000 1.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.9944 0.000 1.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 2 0.0000 0.9944 0.000 1.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.9944 0.000 1.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 2 0.0000 0.9944 0.000 1.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.9924 1.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.9944 0.000 1.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.9924 1.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 2 0.0000 0.9944 0.000 1.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.9924 1.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.9924 1.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0000 0.9944 0.000 1.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 1 0.0000 0.9924 1.000 0.000
#> B9009D40-10AC-48B3-9495-865BCE904CB1 2 0.0000 0.9944 0.000 1.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.9944 0.000 1.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.9924 1.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.9924 1.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.9924 1.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.9924 1.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.9924 1.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 2 0.0000 0.9944 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.9924 1.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 2 0.0000 0.9944 0.000 1.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.9924 1.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.9944 0.000 1.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.9924 1.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.0000 0.9944 0.000 1.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 2 0.0000 0.9944 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.9944 0.000 1.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.9944 0.000 1.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.9944 0.000 1.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.9924 1.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 2 0.0000 0.9944 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9924 1.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.9924 1.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.9924 1.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9924 1.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.9944 0.000 1.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.9944 0.000 1.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.0000 0.9944 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.0000 0.9924 1.000 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.9944 0.000 1.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.9924 1.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9924 1.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.9944 0.000 1.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.9944 0.000 1.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.9944 0.000 1.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.9944 0.000 1.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.9924 1.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9924 1.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.9924 1.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9924 1.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.9924 1.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9924 1.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.9924 1.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.0000 0.9944 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.9944 0.000 1.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.9944 0.000 1.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0000 0.9924 1.000 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9924 1.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.0000 0.9944 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 2 0.0000 0.9944 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.9944 0.000 1.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.9924 1.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.9924 1.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.9924 1.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.0000 0.9944 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 2 0.0000 0.9944 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 2 0.0000 0.9944 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.0000 0.9944 0.000 1.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.9924 1.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.9924 1.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.4298 0.9023 0.912 0.088
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.9944 0.000 1.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9924 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.9924 1.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.0000 0.9944 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.9924 1.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.9924 1.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9924 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.9924 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9924 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9924 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9924 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9924 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.9924 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.9924 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9924 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9944 0.000 1.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.9944 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.9924 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9944 0.000 1.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.9944 0.000 1.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.9924 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.9924 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.0000 0.9944 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.0000 0.9944 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0000 0.9879 0.000 0.000 1.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9927 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.0000 0.9879 0.000 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9927 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9927 1.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.9952 0.000 1.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.9952 0.000 1.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.9952 0.000 1.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.9952 0.000 1.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.9952 0.000 1.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.9879 0.000 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9927 1.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9927 1.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.9879 0.000 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.9952 0.000 1.000 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.9952 0.000 1.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9927 1.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.0000 0.9879 0.000 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.9879 0.000 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9927 1.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9927 1.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9927 1.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.9952 0.000 1.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.9879 0.000 0.000 1.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.9952 0.000 1.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.9927 1.000 0.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.9879 0.000 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.9952 0.000 1.000 0.000
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#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 3 0.0000 0.9879 0.000 0.000 1.000
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0000 0.9927 1.000 0.000 0.000
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 3 0.0000 0.9879 0.000 0.000 1.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.0000 0.9952 0.000 1.000 0.000
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 3 0.0000 0.9879 0.000 0.000 1.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0000 0.9952 0.000 1.000 0.000
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 3 0.0000 0.9879 0.000 0.000 1.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.9927 1.000 0.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 3 0.2711 0.8884 0.088 0.000 0.912
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.9927 1.000 0.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.9927 1.000 0.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.9952 0.000 1.000 0.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.9927 1.000 0.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.9927 1.000 0.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.9927 1.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.9927 1.000 0.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.9927 1.000 0.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.9927 1.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.9952 0.000 1.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.9952 0.000 1.000 0.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0000 0.9879 0.000 0.000 1.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.9952 0.000 1.000 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.0000 0.9879 0.000 0.000 1.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.9927 1.000 0.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.9952 0.000 1.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.9927 1.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.0000 0.9879 0.000 0.000 1.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.9927 1.000 0.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.9927 1.000 0.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0000 0.9952 0.000 1.000 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 1 0.0237 0.9889 0.996 0.004 0.000
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0000 0.9879 0.000 0.000 1.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.9952 0.000 1.000 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.9927 1.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.9927 1.000 0.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.9927 1.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.9927 1.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.9927 1.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 3 0.0000 0.9879 0.000 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.9927 1.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.0000 0.9879 0.000 0.000 1.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.9927 1.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.9952 0.000 1.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.9927 1.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.0000 0.9952 0.000 1.000 0.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.9879 0.000 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.9952 0.000 1.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.9952 0.000 1.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.9952 0.000 1.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.9927 1.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.9879 0.000 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9927 1.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.1289 0.9615 0.968 0.000 0.032
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.9927 1.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9927 1.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.9952 0.000 1.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.9952 0.000 1.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.0000 0.9879 0.000 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.2356 0.9184 0.928 0.072 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.9952 0.000 1.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.9927 1.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9927 1.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.9952 0.000 1.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.9952 0.000 1.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.9952 0.000 1.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.9952 0.000 1.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.9927 1.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9927 1.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.9927 1.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9927 1.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.9927 1.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9927 1.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.9927 1.000 0.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.9879 0.000 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.9952 0.000 1.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.9952 0.000 1.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0000 0.9927 1.000 0.000 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9927 1.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.0000 0.9879 0.000 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.9879 0.000 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.9952 0.000 1.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.9927 1.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.9927 1.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.9927 1.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.0000 0.9879 0.000 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9879 0.000 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.9879 0.000 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.0000 0.9952 0.000 1.000 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.9927 1.000 0.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0592 0.9814 0.988 0.000 0.012
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.0237 0.9835 0.004 0.000 0.996
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.9952 0.000 1.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9927 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.9927 1.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.0000 0.9879 0.000 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.9927 1.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.9927 1.000 0.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9927 1.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.9927 1.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9927 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9927 1.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9927 1.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9927 1.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.9927 1.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.9927 1.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9927 1.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9952 0.000 1.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.0000 0.9879 0.000 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.9927 1.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9952 0.000 1.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.9952 0.000 1.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.9927 1.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.9927 1.000 0.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.0000 0.9879 0.000 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.9879 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0336 0.90557 0.000 0.000 0.992 0.008
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0469 0.95244 0.988 0.000 0.000 0.012
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.1557 0.90552 0.000 0.000 0.944 0.056
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0707 0.94865 0.980 0.000 0.000 0.020
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.3521 0.82078 0.864 0.000 0.052 0.084
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.4477 0.57516 0.000 0.000 0.688 0.312
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.95569 1.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.4933 0.32607 0.000 0.000 0.568 0.432
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.1557 0.90552 0.000 0.000 0.944 0.056
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.90902 0.000 0.000 1.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.4661 0.34945 0.652 0.000 0.000 0.348
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0469 0.95244 0.988 0.000 0.000 0.012
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.3400 0.75911 0.000 0.000 0.820 0.180
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0336 0.97723 0.000 0.992 0.000 0.008
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 4 0.4996 0.22700 0.484 0.000 0.000 0.516
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.90902 0.000 0.000 1.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.1118 0.93799 0.964 0.000 0.000 0.036
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 4 0.4830 0.18029 0.000 0.000 0.392 0.608
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.95569 1.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0592 0.95110 0.984 0.000 0.000 0.016
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.1557 0.90552 0.000 0.000 0.944 0.056
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 4 0.4072 0.45970 0.000 0.000 0.252 0.748
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0469 0.95244 0.988 0.000 0.000 0.012
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0921 0.94392 0.972 0.000 0.000 0.028
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.90902 0.000 0.000 1.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.90902 0.000 0.000 1.000 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.2255 0.87924 0.920 0.000 0.068 0.012
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 4 0.3688 0.71129 0.208 0.000 0.000 0.792
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.5417 0.36009 0.000 0.572 0.016 0.412
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 4 0.2647 0.70906 0.120 0.000 0.000 0.880
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#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 3 0.0000 0.90902 0.000 0.000 1.000 0.000
#> 59363737-247E-4524-B7CD-F43B2C861027 3 0.1557 0.90552 0.000 0.000 0.944 0.056
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 3 0.1557 0.90552 0.000 0.000 0.944 0.056
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0188 0.95584 0.996 0.000 0.000 0.004
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 3 0.1557 0.90552 0.000 0.000 0.944 0.056
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 3 0.1557 0.90552 0.000 0.000 0.944 0.056
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 3 0.1557 0.90552 0.000 0.000 0.944 0.056
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 4 0.1867 0.69552 0.072 0.000 0.000 0.928
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 3 0.4059 0.54804 0.200 0.000 0.788 0.012
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.95569 1.000 0.000 0.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.1118 0.93799 0.964 0.000 0.000 0.036
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0707 0.94919 0.980 0.000 0.000 0.020
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 4 0.4730 0.56134 0.364 0.000 0.000 0.636
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0469 0.95244 0.988 0.000 0.000 0.012
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0707 0.94904 0.980 0.000 0.000 0.020
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.4855 0.40379 0.000 0.000 0.600 0.400
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.0000 0.90902 0.000 0.000 1.000 0.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.95569 1.000 0.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.0000 0.90902 0.000 0.000 1.000 0.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0188 0.98218 0.000 0.996 0.000 0.004
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 1 0.0804 0.94999 0.980 0.008 0.000 0.012
#> B9009D40-10AC-48B3-9495-865BCE904CB1 4 0.4624 0.30783 0.000 0.000 0.340 0.660
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.4817 0.45114 0.000 0.612 0.000 0.388
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0469 0.95244 0.988 0.000 0.000 0.012
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0188 0.95584 0.996 0.000 0.000 0.004
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.95569 1.000 0.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.1637 0.91660 0.940 0.000 0.000 0.060
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0707 0.94865 0.980 0.000 0.000 0.020
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 3 0.1557 0.90552 0.000 0.000 0.944 0.056
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.95569 1.000 0.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.1557 0.90552 0.000 0.000 0.944 0.056
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0469 0.95244 0.988 0.000 0.000 0.012
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 4 0.1792 0.69349 0.068 0.000 0.000 0.932
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.3444 0.77708 0.000 0.816 0.000 0.184
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0188 0.90749 0.000 0.000 0.996 0.004
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0469 0.95244 0.988 0.000 0.000 0.012
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.4713 0.48862 0.000 0.000 0.640 0.360
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.95569 1.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.95569 1.000 0.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0469 0.95244 0.988 0.000 0.000 0.012
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.1557 0.90552 0.000 0.000 0.944 0.056
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.7321 -0.15761 0.500 0.172 0.000 0.328
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.95569 1.000 0.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0469 0.95244 0.988 0.000 0.000 0.012
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.4998 -0.19053 0.512 0.000 0.000 0.488
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0469 0.95292 0.988 0.000 0.000 0.012
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.1022 0.94094 0.968 0.000 0.000 0.032
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.2081 0.88938 0.916 0.000 0.000 0.084
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.90902 0.000 0.000 1.000 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.2216 0.90071 0.000 0.908 0.000 0.092
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.1118 0.93799 0.964 0.000 0.000 0.036
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.1557 0.90552 0.000 0.000 0.944 0.056
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.90902 0.000 0.000 1.000 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0469 0.95244 0.988 0.000 0.000 0.012
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.1557 0.90552 0.000 0.000 0.944 0.056
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.4406 0.59535 0.000 0.000 0.700 0.300
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.4697 0.49593 0.000 0.000 0.644 0.356
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.3716 0.82044 0.000 0.852 0.052 0.096
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.2216 0.87969 0.908 0.000 0.000 0.092
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.3013 0.80141 0.080 0.000 0.888 0.032
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0469 0.95244 0.988 0.000 0.000 0.012
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.1557 0.90552 0.000 0.000 0.944 0.056
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0707 0.94865 0.980 0.000 0.000 0.020
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.1022 0.94094 0.968 0.000 0.000 0.032
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0817 0.94631 0.976 0.000 0.000 0.024
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.2081 0.89006 0.916 0.000 0.000 0.084
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0188 0.95584 0.996 0.000 0.000 0.004
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0336 0.95388 0.992 0.000 0.000 0.008
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0188 0.95584 0.996 0.000 0.000 0.004
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 4 0.4804 0.51053 0.384 0.000 0.000 0.616
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.1557 0.90552 0.000 0.000 0.944 0.056
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.98525 0.000 1.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0469 0.95520 0.988 0.000 0.000 0.012
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.1557 0.90552 0.000 0.000 0.944 0.056
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.90902 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.3509 0.6503 0.008 0.000 0.792 0.004 0.196
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.3913 0.9605 0.000 0.000 0.324 0.676 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 3 0.4264 0.1340 0.376 0.000 0.620 0.004 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0794 0.9118 0.000 0.972 0.000 0.000 0.028
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.3586 0.7453 0.000 0.736 0.000 0.000 0.264
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.9168 0.000 1.000 0.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.3662 0.7529 0.000 0.744 0.000 0.004 0.252
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.3612 0.6668 0.000 0.732 0.000 0.000 0.268
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.3209 0.7109 0.000 0.000 0.812 0.180 0.008
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.4437 -0.3294 0.532 0.000 0.000 0.004 0.464
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0162 0.8127 0.996 0.000 0.000 0.000 0.004
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.2890 0.7323 0.000 0.000 0.836 0.160 0.004
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.2813 0.7849 0.000 0.832 0.000 0.000 0.168
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0510 0.9141 0.000 0.984 0.000 0.000 0.016
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.4283 -0.2920 0.544 0.000 0.000 0.000 0.456
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.3913 0.9605 0.000 0.000 0.324 0.676 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.1043 0.8190 0.000 0.000 0.960 0.040 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0324 0.8109 0.992 0.000 0.000 0.004 0.004
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.4171 -0.0749 0.604 0.000 0.000 0.000 0.396
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0162 0.9170 0.000 0.996 0.000 0.000 0.004
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0807 0.8264 0.000 0.000 0.976 0.012 0.012
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 5 0.4278 0.0548 0.000 0.452 0.000 0.000 0.548
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.3806 0.6218 0.804 0.004 0.000 0.040 0.152
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.1197 0.8150 0.000 0.000 0.952 0.048 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0510 0.9154 0.000 0.984 0.000 0.000 0.016
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.9168 0.000 1.000 0.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0703 0.9130 0.000 0.976 0.000 0.000 0.024
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0404 0.9161 0.000 0.988 0.000 0.000 0.012
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0162 0.9169 0.000 0.996 0.000 0.000 0.004
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9168 0.000 1.000 0.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.3756 0.6450 0.000 0.000 0.744 0.248 0.008
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.4307 -0.4113 0.504 0.000 0.000 0.000 0.496
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0162 0.8127 0.996 0.000 0.000 0.000 0.004
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.3913 0.9605 0.000 0.000 0.324 0.676 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.4415 -0.2640 0.552 0.000 0.000 0.004 0.444
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#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.1124 0.9069 0.000 0.960 0.004 0.036 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 5 0.3940 0.7389 0.220 0.024 0.000 0.000 0.756
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.3730 0.6091 0.000 0.000 0.712 0.288 0.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.6864 0.4469 0.000 0.488 0.016 0.276 0.220
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
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#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0404 0.8080 0.988 0.000 0.000 0.012 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.3913 0.9605 0.000 0.000 0.324 0.676 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.3913 0.9605 0.000 0.000 0.324 0.676 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0162 0.9164 0.000 0.996 0.000 0.000 0.004
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.6417 0.1844 0.504 0.000 0.000 0.280 0.216
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.6021 0.5844 0.000 0.584 0.024 0.312 0.080
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0510 0.8262 0.000 0.000 0.984 0.016 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0290 0.9158 0.000 0.992 0.000 0.000 0.008
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.9168 0.000 1.000 0.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0703 0.9114 0.000 0.976 0.000 0.000 0.024
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.2230 0.7705 0.000 0.000 0.884 0.116 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 5 0.6942 0.5441 0.348 0.000 0.200 0.016 0.436
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.9168 0.000 1.000 0.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0290 0.9158 0.000 0.992 0.000 0.000 0.008
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.3913 0.9605 0.000 0.000 0.324 0.676 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.7046 0.1196 0.484 0.036 0.000 0.168 0.312
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0162 0.9169 0.000 0.996 0.000 0.000 0.004
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0609 0.9143 0.000 0.980 0.000 0.000 0.020
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0609 0.9143 0.000 0.980 0.000 0.000 0.020
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0865 0.9115 0.000 0.972 0.004 0.000 0.024
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0609 0.9127 0.000 0.980 0.000 0.000 0.020
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.5703 0.3769 0.628 0.000 0.000 0.184 0.188
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.4182 -0.0880 0.600 0.000 0.000 0.000 0.400
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.1732 0.7423 0.920 0.000 0.000 0.000 0.080
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.1571 0.7640 0.936 0.000 0.060 0.004 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.3906 0.7429 0.292 0.000 0.000 0.004 0.704
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.1965 0.7767 0.000 0.000 0.904 0.096 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.5507 0.7072 0.000 0.676 0.008 0.160 0.156
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0703 0.9130 0.000 0.976 0.000 0.000 0.024
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.3766 0.7458 0.268 0.000 0.000 0.004 0.728
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.3913 0.9605 0.000 0.000 0.324 0.676 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.1830 0.8087 0.000 0.000 0.924 0.068 0.008
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0510 0.9154 0.000 0.984 0.000 0.000 0.016
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.1270 0.7747 0.948 0.000 0.000 0.000 0.052
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.4015 0.7149 0.348 0.000 0.000 0.000 0.652
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.4307 0.4273 0.496 0.000 0.000 0.000 0.504
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.3913 0.9605 0.000 0.000 0.324 0.676 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.1792 0.7927 0.000 0.000 0.916 0.084 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.2377 0.7612 0.000 0.000 0.872 0.128 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.4968 0.0796 0.000 0.516 0.456 0.000 0.028
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.6435 0.3080 0.620 0.020 0.012 0.184 0.164
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.6381 0.5723 0.376 0.000 0.148 0.004 0.472
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 5 0.8059 0.3534 0.224 0.012 0.324 0.064 0.376
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.1478 0.8937 0.000 0.936 0.000 0.000 0.064
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.4283 -0.2916 0.544 0.000 0.000 0.000 0.456
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.3913 0.9605 0.000 0.000 0.324 0.676 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0162 0.8125 0.996 0.000 0.000 0.000 0.004
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.3816 0.2863 0.696 0.000 0.000 0.000 0.304
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0290 0.8103 0.992 0.000 0.000 0.000 0.008
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.1211 0.7875 0.960 0.000 0.000 0.024 0.016
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0162 0.8124 0.996 0.000 0.000 0.000 0.004
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.8141 1.000 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.4151 0.7159 0.344 0.000 0.000 0.004 0.652
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0290 0.8103 0.992 0.000 0.000 0.000 0.008
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.5195 0.4455 0.676 0.000 0.000 0.108 0.216
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0510 0.9154 0.000 0.984 0.000 0.000 0.016
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.3913 0.9605 0.000 0.000 0.324 0.676 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.3550 0.4878 0.760 0.000 0.000 0.004 0.236
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0162 0.9169 0.000 0.996 0.000 0.000 0.004
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0703 0.9130 0.000 0.976 0.000 0.000 0.024
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.4138 -0.0197 0.616 0.000 0.000 0.000 0.384
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.3966 0.7243 0.336 0.000 0.000 0.000 0.664
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.3913 0.9605 0.000 0.000 0.324 0.676 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.1043 0.8190 0.000 0.000 0.960 0.040 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.2398 0.81537 0.000 0.000 0.876 0.000 0.104 0.020
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.0000 0.97256 0.000 0.000 0.000 1.000 0.000 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 3 0.3482 0.35707 0.316 0.000 0.684 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0146 0.94002 0.000 0.996 0.000 0.000 0.000 0.004
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 5 0.4970 0.22366 0.000 0.336 0.000 0.000 0.580 0.084
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0405 0.93955 0.000 0.988 0.000 0.000 0.004 0.008
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 5 0.5559 0.23290 0.000 0.176 0.000 0.000 0.540 0.284
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.3259 0.67347 0.000 0.772 0.000 0.000 0.216 0.012
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0790 0.92141 0.000 0.000 0.968 0.000 0.000 0.032
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.4261 0.35273 0.572 0.000 0.000 0.000 0.408 0.020
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0405 0.90622 0.988 0.000 0.000 0.000 0.008 0.004
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0458 0.93130 0.000 0.000 0.984 0.000 0.000 0.016
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.2793 0.71376 0.000 0.800 0.000 0.000 0.200 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.1141 0.91718 0.000 0.948 0.000 0.000 0.000 0.052
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.4078 0.51000 0.640 0.000 0.000 0.000 0.340 0.020
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.97256 0.000 0.000 0.000 1.000 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0260 0.93394 0.000 0.000 0.992 0.008 0.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0405 0.90622 0.988 0.000 0.000 0.000 0.008 0.004
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.2980 0.75896 0.808 0.000 0.000 0.000 0.180 0.012
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.2134 0.87898 0.000 0.904 0.000 0.000 0.044 0.052
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.93420 0.000 0.000 1.000 0.000 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.4333 0.33907 0.000 0.596 0.004 0.000 0.380 0.020
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0458 0.90420 0.984 0.000 0.000 0.000 0.000 0.016
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0260 0.93394 0.000 0.000 0.992 0.008 0.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.94069 0.000 1.000 0.000 0.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0405 0.94000 0.000 0.988 0.004 0.000 0.000 0.008
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0146 0.94003 0.000 0.996 0.000 0.000 0.004 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.94069 0.000 1.000 0.000 0.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.94069 0.000 1.000 0.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0260 0.94023 0.000 0.992 0.000 0.000 0.000 0.008
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0632 0.92707 0.000 0.000 0.976 0.000 0.000 0.024
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.4250 0.01902 0.456 0.000 0.000 0.000 0.528 0.016
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0291 0.90859 0.992 0.000 0.000 0.000 0.004 0.004
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0405 0.90622 0.988 0.000 0.000 0.000 0.008 0.004
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 0.97256 0.000 0.000 0.000 1.000 0.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.3859 0.60286 0.692 0.000 0.000 0.000 0.288 0.020
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.1700 0.89352 0.000 0.916 0.000 0.000 0.004 0.080
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.1141 0.90481 0.000 0.000 0.948 0.000 0.000 0.052
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.2365 0.83431 0.888 0.000 0.000 0.000 0.040 0.072
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.1686 0.68272 0.012 0.000 0.000 0.000 0.924 0.064
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.2420 0.81947 0.000 0.864 0.004 0.000 0.128 0.004
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.5686 0.42312 0.584 0.000 0.144 0.000 0.252 0.020
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0858 0.93063 0.000 0.968 0.000 0.000 0.004 0.028
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0291 0.93447 0.000 0.000 0.992 0.004 0.000 0.004
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0865 0.91579 0.000 0.000 0.964 0.036 0.000 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 3 0.4071 0.58929 0.016 0.000 0.716 0.000 0.248 0.020
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0520 0.90358 0.984 0.000 0.000 0.000 0.008 0.008
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 6 0.3530 0.64861 0.000 0.000 0.152 0.000 0.056 0.792
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.1867 0.68458 0.020 0.000 0.000 0.000 0.916 0.064
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0937 0.88745 0.960 0.000 0.000 0.000 0.000 0.040
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0632 0.93536 0.000 0.976 0.000 0.000 0.000 0.024
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0000 0.97256 0.000 0.000 0.000 1.000 0.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0146 0.93396 0.000 0.000 0.996 0.004 0.000 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 5 0.2164 0.66956 0.000 0.032 0.000 0.000 0.900 0.068
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 5 0.4426 0.25012 0.000 0.008 0.376 0.000 0.596 0.020
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 5 0.2613 0.64488 0.012 0.000 0.000 0.000 0.848 0.140
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0000 0.97256 0.000 0.000 0.000 1.000 0.000 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.4553 0.44593 0.620 0.000 0.000 0.000 0.328 0.052
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0622 0.90200 0.980 0.000 0.000 0.000 0.008 0.012
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 5 0.2768 0.63068 0.012 0.000 0.000 0.000 0.832 0.156
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0000 0.97256 0.000 0.000 0.000 1.000 0.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 6 0.3737 0.35796 0.392 0.000 0.000 0.000 0.000 0.608
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0146 0.94003 0.000 0.996 0.000 0.000 0.004 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0260 0.93227 0.000 0.000 0.992 0.000 0.000 0.008
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0146 0.90922 0.996 0.000 0.000 0.000 0.000 0.004
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.4563 0.61615 0.000 0.700 0.000 0.000 0.136 0.164
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 5 0.2747 0.66885 0.016 0.020 0.000 0.000 0.868 0.096
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 5 0.1053 0.67203 0.012 0.004 0.000 0.000 0.964 0.020
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 5 0.1686 0.68272 0.012 0.000 0.000 0.000 0.924 0.064
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0291 0.93447 0.000 0.000 0.992 0.004 0.000 0.004
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0260 0.90730 0.992 0.000 0.000 0.000 0.008 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.94069 0.000 1.000 0.000 0.000 0.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0547 0.90254 0.980 0.000 0.000 0.000 0.020 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0291 0.93447 0.000 0.000 0.992 0.004 0.000 0.004
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.2730 0.75940 0.808 0.000 0.000 0.000 0.192 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.0000 0.97256 0.000 0.000 0.000 1.000 0.000 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.3149 0.80634 0.000 0.824 0.000 0.000 0.044 0.132
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.2823 0.74444 0.796 0.000 0.000 0.000 0.204 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0547 0.90088 0.980 0.000 0.000 0.000 0.000 0.020
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0937 0.89197 0.960 0.000 0.000 0.000 0.040 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0146 0.90945 0.996 0.000 0.000 0.000 0.000 0.004
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.0000 0.97256 0.000 0.000 0.000 1.000 0.000 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.0000 0.97256 0.000 0.000 0.000 1.000 0.000 0.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0777 0.89930 0.972 0.000 0.000 0.000 0.024 0.004
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 5 0.3287 0.48596 0.000 0.220 0.000 0.000 0.768 0.012
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0520 0.90477 0.984 0.000 0.000 0.000 0.008 0.008
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.3862 0.43825 0.608 0.000 0.000 0.000 0.388 0.004
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.1152 0.92054 0.000 0.952 0.000 0.000 0.004 0.044
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0146 0.93434 0.000 0.000 0.996 0.000 0.000 0.004
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0632 0.89904 0.976 0.000 0.000 0.000 0.000 0.024
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.1367 0.87724 0.944 0.000 0.000 0.000 0.012 0.044
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0603 0.93665 0.000 0.980 0.000 0.000 0.004 0.016
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0260 0.90797 0.992 0.000 0.000 0.000 0.000 0.008
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0260 0.93399 0.000 0.000 0.992 0.000 0.000 0.008
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0937 0.89134 0.960 0.000 0.000 0.000 0.040 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0146 0.94061 0.000 0.996 0.000 0.000 0.000 0.004
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 5 0.3821 0.53876 0.000 0.148 0.000 0.000 0.772 0.080
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 6 0.3023 0.53452 0.000 0.004 0.000 0.000 0.212 0.784
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 6 0.3296 0.61991 0.000 0.000 0.188 0.008 0.012 0.792
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0260 0.94023 0.000 0.992 0.000 0.000 0.000 0.008
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.2595 0.78777 0.836 0.000 0.000 0.000 0.160 0.004
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0000 0.94069 0.000 1.000 0.000 0.000 0.000 0.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.1700 0.86324 0.916 0.000 0.000 0.000 0.080 0.004
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0520 0.90440 0.984 0.000 0.000 0.000 0.008 0.008
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.0000 0.94069 0.000 1.000 0.000 0.000 0.000 0.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 5 0.3674 0.48736 0.000 0.016 0.000 0.000 0.716 0.268
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.4168 0.38355 0.584 0.000 0.000 0.000 0.400 0.016
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 6 0.3468 0.54563 0.000 0.264 0.000 0.000 0.008 0.728
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.0291 0.93447 0.000 0.000 0.992 0.004 0.000 0.004
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0405 0.90587 0.988 0.000 0.000 0.000 0.004 0.008
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 6 0.3198 0.57786 0.188 0.000 0.008 0.000 0.008 0.796
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.0146 0.94003 0.000 0.996 0.000 0.000 0.004 0.000
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 3 0.0260 0.93399 0.000 0.000 0.992 0.000 0.000 0.008
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.0363 0.93928 0.000 0.988 0.000 0.000 0.000 0.012
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0146 0.90955 0.996 0.000 0.000 0.000 0.004 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 3 0.0363 0.93161 0.000 0.000 0.988 0.012 0.000 0.000
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 4 0.0000 0.97256 0.000 0.000 0.000 1.000 0.000 0.000
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.3712 0.73228 0.000 0.768 0.000 0.000 0.052 0.180
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.0146 0.94003 0.000 0.996 0.000 0.000 0.004 0.000
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.0405 0.90587 0.988 0.000 0.000 0.000 0.004 0.008
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 3 0.0260 0.93399 0.000 0.000 0.992 0.000 0.000 0.008
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 5 0.2250 0.67737 0.020 0.000 0.000 0.000 0.888 0.092
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.0000 0.94069 0.000 1.000 0.000 0.000 0.000 0.000
#> 4C15BE7F-B855-4670-9E38-0A626527D981 3 0.0291 0.93447 0.000 0.000 0.992 0.004 0.000 0.004
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.0146 0.94061 0.000 0.996 0.000 0.000 0.000 0.004
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 2 0.0972 0.92362 0.000 0.964 0.000 0.000 0.028 0.008
#> 0CE75D6A-B796-4982-9405-1602F9468945 1 0.4189 0.43260 0.604 0.000 0.000 0.000 0.376 0.020
#> EAB94BCC-7CF2-462C-87A2-7B464BADA4AC 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
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#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.6024 0.31924 0.536 0.000 0.240 0.000 0.204 0.020
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0260 0.94023 0.000 0.992 0.000 0.000 0.000 0.008
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.1219 0.91833 0.000 0.948 0.000 0.000 0.004 0.048
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0000 0.97256 0.000 0.000 0.000 1.000 0.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 6 0.2309 0.66994 0.084 0.000 0.000 0.000 0.028 0.888
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.94069 0.000 1.000 0.000 0.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.94069 0.000 1.000 0.000 0.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.94069 0.000 1.000 0.000 0.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0146 0.94003 0.000 0.996 0.000 0.000 0.004 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0777 0.93284 0.000 0.972 0.000 0.000 0.004 0.024
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.1556 0.85270 0.920 0.000 0.000 0.000 0.000 0.080
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.3595 0.62071 0.704 0.000 0.000 0.000 0.288 0.008
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.2070 0.84110 0.892 0.000 0.000 0.000 0.100 0.008
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0790 0.89328 0.968 0.000 0.032 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.1895 0.68246 0.016 0.000 0.000 0.000 0.912 0.072
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0458 0.93075 0.000 0.000 0.984 0.016 0.000 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 6 0.1549 0.70120 0.000 0.044 0.000 0.000 0.020 0.936
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0146 0.94003 0.000 0.996 0.000 0.000 0.004 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.0820 0.68218 0.012 0.000 0.000 0.000 0.972 0.016
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.0937 0.92047 0.000 0.000 0.040 0.960 0.000 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0291 0.93318 0.000 0.000 0.992 0.004 0.000 0.004
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.94069 0.000 1.000 0.000 0.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0622 0.90374 0.980 0.000 0.000 0.000 0.008 0.012
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.0777 0.67916 0.024 0.000 0.000 0.000 0.972 0.004
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.3650 0.41093 0.280 0.000 0.000 0.000 0.708 0.012
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.97256 0.000 0.000 0.000 1.000 0.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0260 0.93399 0.000 0.000 0.992 0.000 0.000 0.008
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0146 0.93434 0.000 0.000 0.996 0.000 0.000 0.004
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.1787 0.87345 0.000 0.920 0.068 0.000 0.008 0.004
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 6 0.2448 0.68048 0.052 0.000 0.000 0.000 0.064 0.884
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 3 0.6169 0.11729 0.180 0.000 0.476 0.000 0.324 0.020
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.6945 0.21525 0.232 0.052 0.512 0.004 0.180 0.020
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.2814 0.79654 0.000 0.820 0.000 0.000 0.008 0.172
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.3852 0.55422 0.664 0.000 0.000 0.000 0.324 0.012
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.97256 0.000 0.000 0.000 1.000 0.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.3494 0.66781 0.736 0.000 0.000 0.000 0.252 0.012
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0865 0.89392 0.964 0.000 0.000 0.000 0.036 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.91063 1.000 0.000 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.2006 0.68052 0.016 0.000 0.000 0.000 0.904 0.080
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.2632 0.77967 0.832 0.000 0.000 0.000 0.164 0.004
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0458 0.90407 0.984 0.000 0.000 0.000 0.000 0.016
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0146 0.94003 0.000 0.996 0.000 0.000 0.004 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.97256 0.000 0.000 0.000 1.000 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.4587 -0.02299 0.508 0.000 0.000 0.000 0.456 0.036
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0146 0.94061 0.000 0.996 0.000 0.000 0.000 0.004
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0291 0.93890 0.000 0.992 0.004 0.000 0.000 0.004
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.3575 0.62702 0.708 0.000 0.000 0.000 0.284 0.008
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.1003 0.67315 0.020 0.000 0.000 0.000 0.964 0.016
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.97256 0.000 0.000 0.000 1.000 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0260 0.93394 0.000 0.000 0.992 0.008 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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 6.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.423 0.729 0.857 0.4004 0.656 0.656
#> 3 3 0.500 0.569 0.787 0.3004 0.739 0.618
#> 4 4 0.561 0.786 0.830 0.2008 0.821 0.633
#> 5 5 0.528 0.771 0.840 0.0783 0.969 0.909
#> 6 6 0.720 0.801 0.855 0.0609 0.978 0.930
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 6
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.0000 0.927 0.000 1.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0672 0.800 0.992 0.008
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.7056 0.748 0.192 0.808
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.797 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.1184 0.797 0.984 0.016
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 1 0.9775 0.512 0.588 0.412
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 1 0.9710 0.528 0.600 0.400
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 1 0.8763 0.638 0.704 0.296
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 1 0.9866 0.481 0.568 0.432
#> 6F178361-2A14-4245-8A35-13A0174231E4 1 0.8713 0.642 0.708 0.292
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.0000 0.927 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.797 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.797 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.0000 0.927 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 1 0.8207 0.672 0.744 0.256
#> 19342512-D282-4C35-B9A9-3A1180D594F4 1 0.9881 0.474 0.564 0.436
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.797 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.5408 0.868 0.124 0.876
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 2 0.0000 0.927 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0672 0.800 0.992 0.008
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0376 0.799 0.996 0.004
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0376 0.799 0.996 0.004
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 1 0.8763 0.638 0.704 0.296
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 2 0.0000 0.927 0.000 1.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 1 0.7745 0.692 0.772 0.228
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0938 0.801 0.988 0.012
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.0000 0.927 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 1 0.9944 0.436 0.544 0.456
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 1 0.9686 0.533 0.604 0.396
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 1 0.9944 0.436 0.544 0.456
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0376 0.799 0.996 0.004
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 1 0.9686 0.533 0.604 0.396
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 1 0.9963 0.420 0.536 0.464
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 1 0.9881 0.474 0.564 0.436
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.0000 0.927 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.4815 0.765 0.896 0.104
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0938 0.800 0.988 0.012
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0672 0.800 0.992 0.008
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.5408 0.868 0.124 0.876
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.797 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 1 0.9922 0.453 0.552 0.448
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.0000 0.927 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0672 0.800 0.992 0.008
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.797 1.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 1 0.9661 0.538 0.608 0.392
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.7883 0.688 0.764 0.236
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0938 0.800 0.988 0.012
#> 18719024-098B-47D7-9367-D4FDC059699B 1 0.9833 0.494 0.576 0.424
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.0000 0.927 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.0000 0.927 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.7883 0.688 0.764 0.236
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0938 0.800 0.988 0.012
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 1 0.9775 0.511 0.588 0.412
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.797 1.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0938 0.801 0.988 0.012
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 1 0.9866 0.481 0.568 0.432
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.5408 0.868 0.124 0.876
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#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0376 0.799 0.996 0.004
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0376 0.799 0.996 0.004
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 1 0.9933 0.445 0.548 0.452
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 1 0.9866 0.481 0.568 0.432
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.5408 0.868 0.124 0.876
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.2778 0.791 0.952 0.048
#> 9860FE99-6582-4D51-8CAF-92738855F425 1 0.9944 0.436 0.544 0.456
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0672 0.800 0.992 0.008
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0938 0.801 0.988 0.012
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 1 0.9775 0.512 0.588 0.412
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 1 0.9954 0.428 0.540 0.460
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 1 0.9970 0.410 0.532 0.468
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 1 0.9866 0.481 0.568 0.432
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0672 0.800 0.992 0.008
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0376 0.799 0.996 0.004
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.797 1.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.797 1.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.797 1.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.1184 0.797 0.984 0.016
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.797 1.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.0000 0.927 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 1 0.9866 0.481 0.568 0.432
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 1 0.9963 0.420 0.536 0.464
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.4815 0.766 0.896 0.104
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0938 0.800 0.988 0.012
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.7056 0.748 0.192 0.808
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 2 0.0000 0.927 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 1 0.9944 0.436 0.544 0.456
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0376 0.799 0.996 0.004
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.797 1.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.797 1.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.5408 0.868 0.124 0.876
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 2 0.0000 0.927 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 2 0.0000 0.927 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 1 0.9970 0.410 0.532 0.468
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.2778 0.790 0.952 0.048
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.7883 0.688 0.764 0.236
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.7883 0.688 0.764 0.236
#> BE787416-396B-48B4-A5D2-8E2EE082D001 1 0.9896 0.467 0.560 0.440
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0938 0.800 0.988 0.012
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.1414 0.800 0.980 0.020
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.5408 0.868 0.124 0.876
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0938 0.801 0.988 0.012
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.2043 0.795 0.968 0.032
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0376 0.799 0.996 0.004
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0672 0.800 0.992 0.008
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.797 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0376 0.799 0.996 0.004
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0672 0.800 0.992 0.008
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0376 0.799 0.996 0.004
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0672 0.800 0.992 0.008
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.1184 0.800 0.984 0.016
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0376 0.799 0.996 0.004
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 1 0.9963 0.420 0.536 0.464
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.5408 0.868 0.124 0.876
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0672 0.800 0.992 0.008
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 1 0.9933 0.445 0.548 0.452
#> ACCFCE18-1113-4203-845F-4608539005FE 1 0.9815 0.500 0.580 0.420
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.797 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.797 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.5408 0.868 0.124 0.876
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.0000 0.927 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0892 0.98115 0.000 0.020 0.980
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0592 0.81665 0.988 0.012 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.8488 0.01022 0.096 0.520 0.384
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0237 0.81673 0.996 0.004 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.1453 0.80970 0.968 0.024 0.008
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.8370 0.50112 0.416 0.500 0.084
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 1 0.9207 -0.34348 0.456 0.392 0.152
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 1 0.7566 -0.17986 0.512 0.448 0.040
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 1 0.9569 -0.37644 0.420 0.384 0.196
#> 6F178361-2A14-4245-8A35-13A0174231E4 1 0.7561 -0.16430 0.516 0.444 0.040
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0237 0.98030 0.000 0.004 0.996
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.1031 0.81193 0.976 0.024 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0747 0.81464 0.984 0.016 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0237 0.98030 0.000 0.004 0.996
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 1 0.7464 0.00635 0.560 0.400 0.040
#> 19342512-D282-4C35-B9A9-3A1180D594F4 1 0.9569 -0.38915 0.420 0.384 0.196
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.1031 0.81193 0.976 0.024 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.6154 -0.15460 0.000 0.592 0.408
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0892 0.98115 0.000 0.020 0.980
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0747 0.81591 0.984 0.016 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0237 0.81731 0.996 0.004 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.1163 0.81306 0.972 0.028 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 1 0.7566 -0.17986 0.512 0.448 0.040
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0892 0.98115 0.000 0.020 0.980
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 1 0.7044 0.24282 0.620 0.348 0.032
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0592 0.81715 0.988 0.012 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.1031 0.98171 0.000 0.024 0.976
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.8747 0.55658 0.396 0.492 0.112
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 1 0.9140 -0.34172 0.452 0.404 0.144
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.8747 0.55658 0.396 0.492 0.112
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0592 0.81702 0.988 0.012 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.8326 0.46448 0.432 0.488 0.080
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.8836 0.56632 0.388 0.492 0.120
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.8968 0.50837 0.408 0.464 0.128
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0237 0.98030 0.000 0.004 0.996
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.4521 0.66477 0.816 0.180 0.004
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.1163 0.81597 0.972 0.028 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0892 0.81641 0.980 0.020 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.6154 -0.15460 0.000 0.592 0.408
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.1031 0.81193 0.976 0.024 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.9181 0.48560 0.404 0.448 0.148
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0237 0.98030 0.000 0.004 0.996
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.1031 0.81582 0.976 0.024 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.1031 0.81193 0.976 0.024 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 1 0.9131 -0.32150 0.460 0.396 0.144
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.7966 0.33200 0.652 0.220 0.128
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0592 0.81664 0.988 0.012 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.9054 0.49150 0.404 0.460 0.136
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0237 0.98030 0.000 0.004 0.996
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.1031 0.98171 0.000 0.024 0.976
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.7966 0.33200 0.652 0.220 0.128
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0424 0.81629 0.992 0.008 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 1 0.9575 -0.26706 0.464 0.320 0.216
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.1411 0.81231 0.964 0.036 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0592 0.81715 0.988 0.012 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 1 0.9593 -0.37387 0.420 0.380 0.200
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.6154 -0.15460 0.000 0.592 0.408
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0592 0.81709 0.988 0.012 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.1031 0.98171 0.000 0.024 0.976
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 1 0.7044 0.24282 0.620 0.348 0.032
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 1 0.7464 0.00635 0.560 0.400 0.040
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.1399 0.80656 0.968 0.028 0.004
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.3267 0.74923 0.884 0.116 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.6154 -0.15460 0.000 0.592 0.408
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0892 0.81353 0.980 0.020 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0424 0.81633 0.992 0.008 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.1399 0.80656 0.968 0.028 0.004
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.3340 0.74478 0.880 0.120 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.6154 -0.15460 0.000 0.592 0.408
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.2492 0.78158 0.936 0.048 0.016
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.8836 0.56632 0.388 0.492 0.120
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0424 0.81629 0.992 0.008 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.1031 0.98171 0.000 0.024 0.976
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0424 0.81629 0.992 0.008 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 1 0.7295 -0.28823 0.488 0.484 0.028
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0424 0.81629 0.992 0.008 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.4409 0.67565 0.824 0.172 0.004
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 1 0.5098 0.56218 0.752 0.248 0.000
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.1031 0.81193 0.976 0.024 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0892 0.98115 0.000 0.020 0.980
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0892 0.81544 0.980 0.020 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.8739 0.55734 0.392 0.496 0.112
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0424 0.81633 0.992 0.008 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0747 0.81661 0.984 0.016 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0237 0.98030 0.000 0.004 0.996
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.1031 0.81193 0.976 0.024 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 2 0.6154 -0.15460 0.000 0.592 0.408
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 1 0.7668 -0.26453 0.496 0.460 0.044
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.1031 0.81193 0.976 0.024 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0747 0.81682 0.984 0.016 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0892 0.81729 0.980 0.020 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.81684 1.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.6154 -0.15460 0.000 0.592 0.408
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.6154 -0.15460 0.000 0.592 0.408
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0892 0.81360 0.980 0.020 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 1 0.7464 0.00635 0.560 0.400 0.040
#> E3671E10-825D-499B-B949-D5033855C744 1 0.1163 0.81566 0.972 0.028 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.1031 0.81610 0.976 0.024 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.8784 0.56560 0.388 0.496 0.116
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0237 0.98030 0.000 0.004 0.996
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.1267 0.80899 0.972 0.024 0.004
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0424 0.81633 0.992 0.008 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.8820 0.50549 0.408 0.476 0.116
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0747 0.81682 0.984 0.016 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0237 0.98030 0.000 0.004 0.996
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.1031 0.81193 0.976 0.024 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.8755 0.55042 0.400 0.488 0.112
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 1 0.7668 -0.26453 0.496 0.460 0.044
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 1 0.9621 -0.34710 0.432 0.360 0.208
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 1 0.9601 -0.26711 0.464 0.312 0.224
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.8784 0.56560 0.388 0.496 0.116
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.1031 0.81404 0.976 0.024 0.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.8852 0.53757 0.396 0.484 0.120
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#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 1 0.9589 -0.36532 0.424 0.376 0.200
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.8836 0.56632 0.388 0.492 0.120
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.5098 0.56218 0.752 0.248 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0424 0.81629 0.992 0.008 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.8488 0.01022 0.096 0.520 0.384
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.1031 0.98171 0.000 0.024 0.976
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.8747 0.55658 0.396 0.492 0.112
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0424 0.81641 0.992 0.008 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.1411 0.81140 0.964 0.036 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.1031 0.81193 0.976 0.024 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.6154 -0.15460 0.000 0.592 0.408
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0237 0.98030 0.000 0.004 0.996
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0237 0.98030 0.000 0.004 0.996
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.9075 0.55939 0.388 0.472 0.140
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.3412 0.74085 0.876 0.124 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.7966 0.33200 0.652 0.220 0.128
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.7966 0.33200 0.652 0.220 0.128
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.9191 0.44826 0.420 0.432 0.148
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0424 0.81629 0.992 0.008 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.1411 0.81309 0.964 0.036 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.6154 -0.15460 0.000 0.592 0.408
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0592 0.81715 0.988 0.012 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.2796 0.77573 0.908 0.092 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0592 0.81709 0.988 0.012 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.1031 0.81582 0.976 0.024 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0237 0.81673 0.996 0.004 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0592 0.81702 0.988 0.012 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0892 0.81664 0.980 0.020 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0747 0.81661 0.984 0.016 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.1411 0.81373 0.964 0.036 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.1529 0.80674 0.960 0.040 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.81684 1.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.8836 0.56632 0.388 0.492 0.120
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.6154 -0.15460 0.000 0.592 0.408
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.1031 0.81582 0.976 0.024 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.8739 0.55734 0.392 0.496 0.112
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.8355 0.51669 0.408 0.508 0.084
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.1031 0.81193 0.976 0.024 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.1031 0.81193 0.976 0.024 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.6154 -0.15460 0.000 0.592 0.408
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.1031 0.98171 0.000 0.024 0.976
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0000 0.94477 0.000 0.000 1.000 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.1520 0.90669 0.956 0.020 0.000 0.024
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.5707 0.69243 0.004 0.144 0.124 0.728
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.1284 0.90660 0.964 0.024 0.000 0.012
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.2131 0.88194 0.936 0.040 0.008 0.016
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.4095 0.82355 0.192 0.792 0.000 0.016
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.8047 0.66512 0.240 0.524 0.032 0.204
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.6945 0.72373 0.284 0.588 0.008 0.120
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.8958 0.47405 0.280 0.384 0.056 0.280
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.6966 0.71975 0.288 0.584 0.008 0.120
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.1489 0.94445 0.000 0.004 0.952 0.044
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.1913 0.88409 0.940 0.040 0.000 0.020
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.1733 0.90592 0.948 0.028 0.000 0.024
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.1489 0.94445 0.000 0.004 0.952 0.044
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.7319 0.62581 0.332 0.524 0.008 0.136
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.8823 0.50911 0.268 0.416 0.052 0.264
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.1820 0.88703 0.944 0.036 0.000 0.020
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.3913 0.75670 0.000 0.028 0.148 0.824
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.1211 0.94405 0.000 0.040 0.960 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.1624 0.90603 0.952 0.028 0.000 0.020
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.1042 0.90723 0.972 0.020 0.000 0.008
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.1837 0.89729 0.944 0.028 0.000 0.028
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.6986 0.71747 0.292 0.580 0.008 0.120
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.94477 0.000 0.000 1.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.6758 0.48017 0.400 0.504 0.000 0.096
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.1610 0.90472 0.952 0.032 0.000 0.016
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.1389 0.94316 0.000 0.048 0.952 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.3636 0.82662 0.172 0.820 0.000 0.008
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.8299 0.61558 0.236 0.480 0.032 0.252
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.3636 0.82662 0.172 0.820 0.000 0.008
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.1629 0.90642 0.952 0.024 0.000 0.024
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.4361 0.81561 0.208 0.772 0.000 0.020
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.3916 0.82565 0.168 0.816 0.008 0.008
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.6385 0.78298 0.188 0.688 0.020 0.104
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.1489 0.94445 0.000 0.004 0.952 0.044
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.4940 0.70861 0.776 0.128 0.000 0.096
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.2036 0.90602 0.936 0.032 0.000 0.032
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.1733 0.90558 0.948 0.028 0.000 0.024
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.3913 0.75670 0.000 0.028 0.148 0.824
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.1913 0.88409 0.940 0.040 0.000 0.020
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.7469 0.72550 0.224 0.592 0.028 0.156
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.1489 0.94445 0.000 0.004 0.952 0.044
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.1629 0.90609 0.952 0.024 0.000 0.024
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.1724 0.89553 0.948 0.032 0.000 0.020
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.8261 0.62881 0.244 0.488 0.032 0.236
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.9134 -0.16524 0.444 0.276 0.136 0.144
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.1411 0.90565 0.960 0.020 0.000 0.020
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.6661 0.77385 0.180 0.676 0.028 0.116
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.1888 0.94359 0.000 0.016 0.940 0.044
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.1389 0.94316 0.000 0.048 0.952 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.9134 -0.16524 0.444 0.276 0.136 0.144
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.1510 0.90326 0.956 0.028 0.000 0.016
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 4 0.9011 -0.05275 0.316 0.280 0.056 0.348
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.2214 0.89441 0.928 0.044 0.000 0.028
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.1610 0.90472 0.952 0.032 0.000 0.016
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.8947 0.46700 0.272 0.388 0.056 0.284
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.3913 0.75670 0.000 0.028 0.148 0.824
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.1297 0.90810 0.964 0.020 0.000 0.016
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.1389 0.94316 0.000 0.048 0.952 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.6758 0.48017 0.400 0.504 0.000 0.096
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.7319 0.62581 0.332 0.524 0.008 0.136
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.2224 0.89023 0.928 0.040 0.000 0.032
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.3570 0.82776 0.860 0.048 0.000 0.092
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.3913 0.75670 0.000 0.028 0.148 0.824
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.1520 0.90496 0.956 0.024 0.000 0.020
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.1059 0.90729 0.972 0.016 0.000 0.012
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.2224 0.89023 0.928 0.040 0.000 0.032
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.3667 0.81696 0.856 0.056 0.000 0.088
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.3913 0.75670 0.000 0.028 0.148 0.824
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.2944 0.86548 0.900 0.052 0.004 0.044
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.4114 0.82373 0.164 0.812 0.008 0.016
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.1182 0.90691 0.968 0.016 0.000 0.016
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.1389 0.94316 0.000 0.048 0.952 0.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.1510 0.90326 0.956 0.028 0.000 0.016
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.5649 0.75623 0.284 0.664 0.000 0.052
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.1411 0.90509 0.960 0.020 0.000 0.020
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.4662 0.73248 0.796 0.112 0.000 0.092
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 1 0.7080 0.23079 0.568 0.236 0.000 0.196
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.1724 0.89553 0.948 0.032 0.000 0.020
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.1118 0.94443 0.000 0.036 0.964 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.1059 0.90845 0.972 0.016 0.000 0.012
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.3961 0.82763 0.172 0.812 0.008 0.008
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.1284 0.90502 0.964 0.024 0.000 0.012
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.1411 0.90789 0.960 0.020 0.000 0.020
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.1489 0.94445 0.000 0.004 0.952 0.044
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.1820 0.88703 0.944 0.036 0.000 0.020
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.3913 0.75670 0.000 0.028 0.148 0.824
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.5877 0.76111 0.276 0.656 0.000 0.068
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.1724 0.88961 0.948 0.032 0.000 0.020
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.1833 0.90349 0.944 0.032 0.000 0.024
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.1629 0.90417 0.952 0.024 0.000 0.024
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.1209 0.90557 0.964 0.032 0.000 0.004
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.3913 0.75670 0.000 0.028 0.148 0.824
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.3913 0.75670 0.000 0.028 0.148 0.824
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.1820 0.89069 0.944 0.036 0.000 0.020
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.7319 0.62581 0.332 0.524 0.008 0.136
#> E3671E10-825D-499B-B949-D5033855C744 1 0.1936 0.90523 0.940 0.032 0.000 0.028
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.1520 0.90931 0.956 0.020 0.000 0.024
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.3774 0.82583 0.168 0.820 0.004 0.008
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.1489 0.94445 0.000 0.004 0.952 0.044
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.2124 0.89258 0.932 0.040 0.000 0.028
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.1388 0.90490 0.960 0.028 0.000 0.012
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.6347 0.78117 0.196 0.680 0.012 0.112
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.1833 0.90349 0.944 0.032 0.000 0.024
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.1489 0.94445 0.000 0.004 0.952 0.044
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.1820 0.89212 0.944 0.036 0.000 0.020
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.3681 0.82614 0.176 0.816 0.000 0.008
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.5825 0.76951 0.268 0.664 0.000 0.068
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.9025 0.38060 0.292 0.340 0.056 0.312
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 4 0.9074 0.00227 0.328 0.256 0.064 0.352
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.3774 0.82583 0.168 0.820 0.004 0.008
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.1629 0.90416 0.952 0.024 0.000 0.024
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.5817 0.80495 0.176 0.732 0.024 0.068
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.1629 0.90424 0.952 0.024 0.000 0.024
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.1733 0.90476 0.948 0.028 0.000 0.024
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.5776 0.80355 0.172 0.736 0.024 0.068
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.1042 0.90843 0.972 0.020 0.000 0.008
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 4 0.9011 -0.05275 0.316 0.280 0.056 0.348
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.1724 0.88961 0.948 0.032 0.000 0.020
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#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.2860 0.86979 0.904 0.048 0.004 0.044
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.3636 0.82662 0.172 0.820 0.000 0.008
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.1297 0.90647 0.964 0.020 0.000 0.016
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.1284 0.90502 0.964 0.024 0.000 0.012
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.4095 0.82355 0.192 0.792 0.000 0.016
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.3961 0.82633 0.172 0.812 0.008 0.008
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.4900 0.81722 0.168 0.780 0.016 0.036
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.6951 0.75553 0.196 0.644 0.024 0.136
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.1610 0.90159 0.952 0.032 0.000 0.016
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.1042 0.90843 0.972 0.020 0.000 0.008
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.1929 0.89031 0.940 0.036 0.000 0.024
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.1284 0.90660 0.964 0.024 0.000 0.012
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.1820 0.89212 0.944 0.036 0.000 0.020
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.2131 0.88194 0.936 0.040 0.008 0.016
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.1733 0.89913 0.948 0.024 0.000 0.028
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.1389 0.94316 0.000 0.048 0.952 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.9007 0.40735 0.304 0.356 0.056 0.284
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.3916 0.82565 0.168 0.816 0.008 0.008
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.7080 0.23079 0.568 0.236 0.000 0.196
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.1297 0.90561 0.964 0.020 0.000 0.016
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.5707 0.69243 0.004 0.144 0.124 0.728
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.1389 0.94316 0.000 0.048 0.952 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.3636 0.82662 0.172 0.820 0.000 0.008
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.1510 0.90468 0.956 0.028 0.000 0.016
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.2002 0.88767 0.936 0.044 0.000 0.020
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.1820 0.89294 0.944 0.036 0.000 0.020
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.3913 0.75670 0.000 0.028 0.148 0.824
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.1489 0.94445 0.000 0.004 0.952 0.044
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.1489 0.94445 0.000 0.004 0.952 0.044
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.4944 0.81758 0.172 0.776 0.016 0.036
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.3745 0.81193 0.852 0.060 0.000 0.088
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.9134 -0.16524 0.444 0.276 0.136 0.144
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.9134 -0.16524 0.444 0.276 0.136 0.144
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.7785 0.68584 0.240 0.552 0.028 0.180
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.1624 0.90227 0.952 0.028 0.000 0.020
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.2319 0.89208 0.924 0.040 0.000 0.036
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.3913 0.75670 0.000 0.028 0.148 0.824
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.1510 0.90605 0.956 0.028 0.000 0.016
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.2996 0.86243 0.892 0.044 0.000 0.064
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.1182 0.90782 0.968 0.016 0.000 0.016
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.1520 0.90793 0.956 0.020 0.000 0.024
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.1284 0.90660 0.964 0.024 0.000 0.012
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.1733 0.90562 0.948 0.028 0.000 0.024
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.1297 0.90233 0.964 0.016 0.000 0.020
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.1411 0.90789 0.960 0.020 0.000 0.020
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.1936 0.89182 0.940 0.032 0.000 0.028
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.2032 0.89702 0.936 0.028 0.000 0.036
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.1209 0.90557 0.964 0.032 0.000 0.004
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.4270 0.82596 0.168 0.804 0.008 0.020
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.3913 0.75670 0.000 0.028 0.148 0.824
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.2021 0.90126 0.936 0.040 0.000 0.024
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.3961 0.82763 0.172 0.812 0.008 0.008
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.4012 0.82482 0.184 0.800 0.000 0.016
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.1913 0.88764 0.940 0.040 0.000 0.020
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.1724 0.89553 0.948 0.032 0.000 0.020
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.3913 0.75670 0.000 0.028 0.148 0.824
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.1389 0.94316 0.000 0.048 0.952 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0290 0.9040 0.000 0.000 0.992 0.000 0.008
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.1041 0.9177 0.964 0.004 0.000 0.000 0.032
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.3248 0.6987 0.004 0.088 0.000 0.856 0.052
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0955 0.9180 0.968 0.004 0.000 0.000 0.028
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.2477 0.8856 0.892 0.008 0.008 0.000 0.092
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.3276 0.7417 0.132 0.836 0.000 0.000 0.032
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.7366 0.5096 0.196 0.536 0.000 0.164 0.104
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.5851 0.4661 0.140 0.588 0.000 0.000 0.272
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.8208 0.2483 0.248 0.364 0.000 0.268 0.120
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.5870 0.4586 0.140 0.584 0.000 0.000 0.276
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.1591 0.9070 0.000 0.004 0.940 0.052 0.004
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.2574 0.8762 0.876 0.012 0.000 0.000 0.112
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.1251 0.9167 0.956 0.008 0.000 0.000 0.036
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.1591 0.9070 0.000 0.004 0.940 0.052 0.004
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.6302 0.0201 0.136 0.476 0.000 0.004 0.384
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.8107 0.2824 0.236 0.396 0.000 0.252 0.116
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.2124 0.8895 0.900 0.004 0.000 0.000 0.096
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.7842 0.000 0.000 0.000 1.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.2753 0.8920 0.000 0.008 0.856 0.000 0.136
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.1168 0.9170 0.960 0.008 0.000 0.000 0.032
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0771 0.9172 0.976 0.004 0.000 0.000 0.020
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.2305 0.8986 0.896 0.012 0.000 0.000 0.092
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.5920 0.4568 0.148 0.580 0.000 0.000 0.272
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0162 0.9036 0.000 0.000 0.996 0.000 0.004
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 5 0.6158 0.4403 0.136 0.384 0.000 0.000 0.480
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.1168 0.9152 0.960 0.008 0.000 0.000 0.032
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.2843 0.8904 0.000 0.008 0.848 0.000 0.144
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.2389 0.7504 0.116 0.880 0.000 0.000 0.004
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.7800 0.4452 0.184 0.480 0.000 0.204 0.132
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.2389 0.7504 0.116 0.880 0.000 0.000 0.004
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.1041 0.9175 0.964 0.004 0.000 0.000 0.032
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.3565 0.7292 0.144 0.816 0.000 0.000 0.040
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.2548 0.7507 0.116 0.876 0.000 0.004 0.004
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.5874 0.6698 0.140 0.692 0.000 0.092 0.076
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.1591 0.9070 0.000 0.004 0.940 0.052 0.004
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.5541 0.3777 0.612 0.084 0.000 0.004 0.300
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.1597 0.9190 0.940 0.012 0.000 0.000 0.048
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.1251 0.9168 0.956 0.008 0.000 0.000 0.036
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 0.7842 0.000 0.000 0.000 1.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.2574 0.8762 0.876 0.012 0.000 0.000 0.112
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.6820 0.5757 0.184 0.592 0.000 0.152 0.072
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.1591 0.9070 0.000 0.004 0.940 0.052 0.004
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.1331 0.9164 0.952 0.008 0.000 0.000 0.040
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.2351 0.8940 0.896 0.016 0.000 0.000 0.088
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.7690 0.4645 0.192 0.496 0.000 0.188 0.124
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 5 0.7687 0.8640 0.164 0.128 0.136 0.020 0.552
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.1124 0.9172 0.960 0.004 0.000 0.000 0.036
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.5603 0.6808 0.128 0.712 0.000 0.104 0.056
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.2506 0.9062 0.000 0.008 0.904 0.052 0.036
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.2843 0.8904 0.000 0.008 0.848 0.000 0.144
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 5 0.7687 0.8640 0.164 0.128 0.136 0.020 0.552
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.1082 0.9131 0.964 0.008 0.000 0.000 0.028
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 4 0.8559 -0.0397 0.224 0.220 0.000 0.304 0.252
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.2561 0.8867 0.884 0.020 0.000 0.000 0.096
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.1168 0.9152 0.960 0.008 0.000 0.000 0.032
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.8205 0.2412 0.244 0.364 0.000 0.272 0.120
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0000 0.7842 0.000 0.000 0.000 1.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0880 0.9180 0.968 0.000 0.000 0.000 0.032
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.2843 0.8904 0.000 0.008 0.848 0.000 0.144
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 5 0.6158 0.4403 0.136 0.384 0.000 0.000 0.480
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.6302 0.0201 0.136 0.476 0.000 0.004 0.384
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.1901 0.8989 0.932 0.024 0.000 0.004 0.040
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.3724 0.7712 0.788 0.028 0.000 0.000 0.184
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0000 0.7842 0.000 0.000 0.000 1.000 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.1357 0.9161 0.948 0.004 0.000 0.000 0.048
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0671 0.9186 0.980 0.004 0.000 0.000 0.016
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.1901 0.8989 0.932 0.024 0.000 0.004 0.040
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.3944 0.7353 0.768 0.032 0.000 0.000 0.200
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0000 0.7842 0.000 0.000 0.000 1.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.2747 0.8674 0.896 0.036 0.000 0.020 0.048
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.2894 0.7510 0.124 0.860 0.000 0.008 0.008
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0703 0.9177 0.976 0.000 0.000 0.000 0.024
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.2843 0.8904 0.000 0.008 0.848 0.000 0.144
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.1082 0.9131 0.964 0.008 0.000 0.000 0.028
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.4933 0.6009 0.228 0.692 0.000 0.000 0.080
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0865 0.9155 0.972 0.004 0.000 0.000 0.024
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.5304 0.4510 0.640 0.088 0.000 0.000 0.272
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 5 0.5083 0.7877 0.220 0.084 0.000 0.004 0.692
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.2351 0.8940 0.896 0.016 0.000 0.000 0.088
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.2563 0.8945 0.000 0.008 0.872 0.000 0.120
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.1041 0.9194 0.964 0.004 0.000 0.000 0.032
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.2833 0.7524 0.120 0.864 0.000 0.004 0.012
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0865 0.9148 0.972 0.004 0.000 0.000 0.024
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0880 0.9173 0.968 0.000 0.000 0.000 0.032
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.1591 0.9070 0.000 0.004 0.940 0.052 0.004
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.2124 0.8895 0.900 0.004 0.000 0.000 0.096
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.0000 0.7842 0.000 0.000 0.000 1.000 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.5362 0.6018 0.228 0.676 0.000 0.012 0.084
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.2286 0.8848 0.888 0.004 0.000 0.000 0.108
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.1331 0.9138 0.952 0.008 0.000 0.000 0.040
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.1768 0.9153 0.924 0.004 0.000 0.000 0.072
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0898 0.9160 0.972 0.008 0.000 0.000 0.020
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.0000 0.7842 0.000 0.000 0.000 1.000 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.0000 0.7842 0.000 0.000 0.000 1.000 0.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.2249 0.8895 0.896 0.008 0.000 0.000 0.096
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.6302 0.0201 0.136 0.476 0.000 0.004 0.384
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#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.2389 0.7504 0.116 0.880 0.000 0.000 0.004
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.7874 0.4138 0.188 0.460 0.000 0.228 0.124
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.1591 0.9070 0.000 0.004 0.940 0.052 0.004
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.6631 0.5935 0.164 0.616 0.000 0.148 0.072
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.2843 0.8904 0.000 0.008 0.848 0.000 0.144
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.2361 0.8917 0.892 0.012 0.000 0.000 0.096
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.2548 0.7507 0.116 0.876 0.000 0.004 0.004
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0794 0.9179 0.972 0.000 0.000 0.000 0.028
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.0290 0.9040 0.000 0.000 0.992 0.000 0.008
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.2416 0.8974 0.888 0.012 0.000 0.000 0.100
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.2293 0.9021 0.900 0.016 0.000 0.000 0.084
#> BCC92C08-F035-474D-9D53-0336D89366AB 4 0.8571 -0.0619 0.224 0.224 0.000 0.296 0.256
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 4 0.8559 -0.0397 0.224 0.220 0.000 0.304 0.252
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.1591 0.9070 0.000 0.004 0.940 0.052 0.004
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.8301 0.1243 0.296 0.308 0.000 0.272 0.124
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0880 0.9173 0.968 0.000 0.000 0.000 0.032
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.1469 0.9182 0.948 0.016 0.000 0.000 0.036
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.2124 0.8934 0.900 0.004 0.000 0.000 0.096
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0798 0.9167 0.976 0.008 0.000 0.000 0.016
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0771 0.9165 0.976 0.004 0.000 0.000 0.020
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.0000 0.7842 0.000 0.000 0.000 1.000 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.1557 0.9196 0.940 0.008 0.000 0.000 0.052
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.0000 0.7842 0.000 0.000 0.000 1.000 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.1251 0.9167 0.956 0.008 0.000 0.000 0.036
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.2548 0.7507 0.116 0.876 0.000 0.004 0.004
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.1901 0.8989 0.932 0.024 0.000 0.004 0.040
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 4 0.8559 -0.0397 0.224 0.220 0.000 0.304 0.252
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.1591 0.9070 0.000 0.004 0.940 0.052 0.004
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.2548 0.7507 0.116 0.876 0.000 0.004 0.004
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.2548 0.7507 0.116 0.876 0.000 0.004 0.004
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.7917 0.4024 0.196 0.452 0.000 0.228 0.124
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.1251 0.9168 0.956 0.008 0.000 0.000 0.036
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.1591 0.9070 0.000 0.004 0.940 0.052 0.004
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.1502 0.9168 0.940 0.004 0.000 0.000 0.056
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 5 0.7687 0.8640 0.164 0.128 0.136 0.020 0.552
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.1251 0.9214 0.956 0.008 0.000 0.000 0.036
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0880 0.9179 0.968 0.000 0.000 0.000 0.032
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.2833 0.7524 0.120 0.864 0.000 0.004 0.012
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.8215 0.2342 0.248 0.360 0.000 0.272 0.120
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0000 0.7842 0.000 0.000 0.000 1.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.2747 0.8700 0.896 0.036 0.000 0.020 0.048
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.2389 0.7504 0.116 0.880 0.000 0.000 0.004
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.1502 0.9157 0.940 0.004 0.000 0.000 0.056
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0865 0.9148 0.972 0.004 0.000 0.000 0.024
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.3276 0.7417 0.132 0.836 0.000 0.000 0.032
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.2597 0.7505 0.120 0.872 0.000 0.004 0.004
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.4101 0.7110 0.108 0.820 0.008 0.024 0.040
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.6392 0.6329 0.152 0.644 0.000 0.128 0.076
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.1300 0.9125 0.956 0.016 0.000 0.000 0.028
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0510 0.9189 0.984 0.000 0.000 0.000 0.016
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.2519 0.8872 0.884 0.016 0.000 0.000 0.100
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0771 0.9172 0.976 0.004 0.000 0.000 0.020
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.2011 0.8939 0.908 0.004 0.000 0.000 0.088
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.2477 0.8856 0.892 0.008 0.008 0.000 0.092
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.2293 0.8952 0.900 0.016 0.000 0.000 0.084
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.2843 0.8904 0.000 0.008 0.848 0.000 0.144
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.8300 0.1207 0.292 0.312 0.000 0.272 0.124
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.2548 0.7507 0.116 0.876 0.000 0.004 0.004
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.5083 0.7877 0.220 0.084 0.000 0.004 0.692
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0771 0.9160 0.976 0.004 0.000 0.000 0.020
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.3248 0.6987 0.004 0.088 0.000 0.856 0.052
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.2843 0.8904 0.000 0.008 0.848 0.000 0.144
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.2389 0.7504 0.116 0.880 0.000 0.000 0.004
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.1082 0.9153 0.964 0.008 0.000 0.000 0.028
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.2522 0.8774 0.880 0.012 0.000 0.000 0.108
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.2408 0.8913 0.892 0.016 0.000 0.000 0.092
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.7842 0.000 0.000 0.000 1.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.1591 0.9070 0.000 0.004 0.940 0.052 0.004
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.1591 0.9070 0.000 0.004 0.940 0.052 0.004
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.4175 0.7080 0.108 0.816 0.008 0.024 0.044
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.4021 0.7280 0.764 0.036 0.000 0.000 0.200
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.7687 0.8640 0.164 0.128 0.136 0.020 0.552
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 5 0.7687 0.8640 0.164 0.128 0.136 0.020 0.552
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.7257 0.5047 0.212 0.536 0.000 0.172 0.080
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.1168 0.9119 0.960 0.008 0.000 0.000 0.032
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.2818 0.8757 0.860 0.008 0.000 0.004 0.128
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.7842 0.000 0.000 0.000 1.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0955 0.9175 0.968 0.004 0.000 0.000 0.028
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.3321 0.8350 0.832 0.032 0.000 0.000 0.136
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0703 0.9178 0.976 0.000 0.000 0.000 0.024
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.1597 0.9168 0.940 0.012 0.000 0.000 0.048
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0955 0.9180 0.968 0.004 0.000 0.000 0.028
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.1331 0.9171 0.952 0.008 0.000 0.000 0.040
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.1831 0.9080 0.920 0.004 0.000 0.000 0.076
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0880 0.9173 0.968 0.000 0.000 0.000 0.032
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.2361 0.8936 0.892 0.012 0.000 0.000 0.096
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.2304 0.8956 0.892 0.008 0.000 0.000 0.100
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0898 0.9160 0.972 0.008 0.000 0.000 0.020
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.3018 0.7504 0.116 0.860 0.000 0.012 0.012
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.7842 0.000 0.000 0.000 1.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.1568 0.9135 0.944 0.020 0.000 0.000 0.036
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.2833 0.7524 0.120 0.864 0.000 0.004 0.012
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.3146 0.7448 0.128 0.844 0.000 0.000 0.028
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.2625 0.8797 0.876 0.016 0.000 0.000 0.108
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.2351 0.8940 0.896 0.016 0.000 0.000 0.088
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.7842 0.000 0.000 0.000 1.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.2843 0.8904 0.000 0.008 0.848 0.000 0.144
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.2597 0.87951 0.000 0.000 0.824 0.000 0.176 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.1346 0.91792 0.952 0.016 0.000 0.000 0.008 0.024
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.3924 0.74959 0.000 0.052 0.000 0.772 0.012 0.164
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.1262 0.91828 0.956 0.016 0.000 0.000 0.008 0.020
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.2988 0.89170 0.860 0.016 0.000 0.000 0.044 0.080
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.2220 0.79271 0.036 0.908 0.000 0.000 0.012 0.044
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.5835 0.32271 0.100 0.588 0.000 0.032 0.008 0.272
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.5783 0.38469 0.036 0.608 0.000 0.000 0.188 0.168
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.7027 -0.45485 0.136 0.384 0.000 0.100 0.004 0.376
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.5808 0.37577 0.036 0.604 0.000 0.000 0.192 0.168
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.4070 0.88207 0.000 0.004 0.752 0.008 0.192 0.044
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.2833 0.87369 0.864 0.008 0.000 0.000 0.040 0.088
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.1577 0.91927 0.940 0.016 0.000 0.000 0.008 0.036
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.4070 0.88207 0.000 0.004 0.752 0.008 0.192 0.044
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.6501 -0.13320 0.048 0.468 0.000 0.000 0.316 0.168
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.6987 -0.39911 0.136 0.408 0.000 0.096 0.004 0.356
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.2797 0.88954 0.872 0.016 0.000 0.000 0.036 0.076
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.95809 0.000 0.000 0.000 1.000 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.85677 0.000 0.000 1.000 0.000 0.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.1649 0.91832 0.936 0.016 0.000 0.000 0.008 0.040
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.1390 0.91772 0.948 0.016 0.000 0.000 0.004 0.032
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.2449 0.89908 0.888 0.012 0.000 0.000 0.020 0.080
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.5873 0.37452 0.040 0.600 0.000 0.000 0.188 0.172
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.2631 0.87927 0.000 0.000 0.820 0.000 0.180 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 5 0.5710 0.44514 0.024 0.420 0.000 0.000 0.468 0.088
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.1461 0.91650 0.940 0.016 0.000 0.000 0.000 0.044
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0260 0.85483 0.000 0.000 0.992 0.000 0.008 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.1151 0.80401 0.032 0.956 0.000 0.000 0.000 0.012
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.6051 0.18534 0.092 0.540 0.000 0.040 0.008 0.320
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.1151 0.80401 0.032 0.956 0.000 0.000 0.000 0.012
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.1245 0.91801 0.952 0.016 0.000 0.000 0.000 0.032
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.2638 0.78158 0.040 0.884 0.000 0.000 0.016 0.060
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0790 0.80390 0.032 0.968 0.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.4315 0.67397 0.060 0.776 0.000 0.032 0.008 0.124
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.4070 0.88207 0.000 0.004 0.752 0.008 0.192 0.044
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.6372 0.37334 0.552 0.068 0.000 0.000 0.184 0.196
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.1932 0.91863 0.924 0.020 0.000 0.000 0.016 0.040
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.1718 0.91833 0.932 0.016 0.000 0.000 0.008 0.044
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 0.95809 0.000 0.000 0.000 1.000 0.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.2833 0.87369 0.864 0.008 0.000 0.000 0.040 0.088
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.5443 0.47993 0.080 0.656 0.000 0.048 0.004 0.212
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.4070 0.88207 0.000 0.004 0.752 0.008 0.192 0.044
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.1806 0.91647 0.928 0.020 0.000 0.000 0.008 0.044
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.3019 0.87813 0.860 0.024 0.000 0.000 0.036 0.080
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.6041 0.22357 0.096 0.552 0.000 0.040 0.008 0.304
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 5 0.6688 0.82658 0.056 0.176 0.136 0.000 0.584 0.048
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.1718 0.91696 0.932 0.016 0.000 0.000 0.008 0.044
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.4007 0.69998 0.040 0.796 0.000 0.032 0.008 0.124
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.3501 0.88048 0.000 0.004 0.816 0.008 0.128 0.044
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0260 0.85483 0.000 0.000 0.992 0.000 0.008 0.000
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#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.1655 0.91691 0.932 0.008 0.000 0.000 0.008 0.052
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.1262 0.91828 0.956 0.016 0.000 0.000 0.008 0.020
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.1577 0.91793 0.940 0.016 0.000 0.000 0.008 0.036
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.1982 0.90871 0.912 0.004 0.000 0.000 0.016 0.068
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.1078 0.91796 0.964 0.012 0.000 0.000 0.008 0.016
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.2764 0.88495 0.864 0.008 0.000 0.000 0.028 0.100
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.2764 0.89253 0.864 0.008 0.000 0.000 0.028 0.100
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.1245 0.91720 0.952 0.016 0.000 0.000 0.000 0.032
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.1245 0.80170 0.032 0.952 0.000 0.000 0.000 0.016
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.95809 0.000 0.000 0.000 1.000 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.2190 0.90764 0.908 0.044 0.000 0.000 0.008 0.040
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.1194 0.80427 0.032 0.956 0.000 0.000 0.004 0.008
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.2046 0.79552 0.032 0.916 0.000 0.000 0.008 0.044
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.2983 0.87256 0.856 0.012 0.000 0.000 0.040 0.092
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.3019 0.87813 0.860 0.024 0.000 0.000 0.036 0.080
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.95809 0.000 0.000 0.000 1.000 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0260 0.85483 0.000 0.000 0.992 0.000 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["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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.483 0.717 0.836 0.4003 0.652 0.652
#> 3 3 0.643 0.918 0.905 0.4903 0.711 0.560
#> 4 4 0.742 0.620 0.827 0.1593 0.970 0.920
#> 5 5 0.765 0.818 0.826 0.0915 0.859 0.607
#> 6 6 0.750 0.826 0.845 0.0579 0.936 0.735
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.595 0.912 0.144 0.856
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.000 0.777 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.644 0.916 0.164 0.836
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.000 0.777 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.680 0.565 0.820 0.180
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 1 0.996 0.470 0.536 0.464
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 1 0.996 0.470 0.536 0.464
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 1 0.996 0.470 0.536 0.464
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 1 0.993 0.483 0.548 0.452
#> 6F178361-2A14-4245-8A35-13A0174231E4 1 0.996 0.470 0.536 0.464
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.443 0.946 0.092 0.908
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.000 0.777 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.000 0.777 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.443 0.946 0.092 0.908
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 1 0.987 0.487 0.568 0.432
#> 19342512-D282-4C35-B9A9-3A1180D594F4 1 0.995 0.474 0.540 0.460
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.000 0.777 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.644 0.916 0.164 0.836
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 2 0.443 0.946 0.092 0.908
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.000 0.777 1.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.000 0.777 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.000 0.777 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 1 0.996 0.470 0.536 0.464
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 2 0.443 0.946 0.092 0.908
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 1 0.996 0.470 0.536 0.464
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.000 0.777 1.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.443 0.946 0.092 0.908
#> F21EF450-28FC-4A66-BAB9-157140CB534E 1 0.996 0.470 0.536 0.464
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 1 0.996 0.470 0.536 0.464
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 1 0.996 0.470 0.536 0.464
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.000 0.777 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 1 0.996 0.470 0.536 0.464
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 1 0.996 0.470 0.536 0.464
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 1 0.996 0.470 0.536 0.464
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.443 0.946 0.092 0.908
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.000 0.777 1.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.000 0.777 1.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.000 0.777 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.644 0.916 0.164 0.836
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.000 0.777 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 1 0.996 0.470 0.536 0.464
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.443 0.946 0.092 0.908
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.000 0.777 1.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.000 0.777 1.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 1 0.996 0.470 0.536 0.464
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.000 0.777 1.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.000 0.777 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 1 0.996 0.470 0.536 0.464
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.443 0.946 0.092 0.908
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.443 0.946 0.092 0.908
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.814 0.600 0.748 0.252
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.000 0.777 1.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 1 0.952 0.476 0.628 0.372
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.000 0.777 1.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.000 0.777 1.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 1 0.995 0.474 0.540 0.460
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.644 0.916 0.164 0.836
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.000 0.777 1.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 2 0.443 0.946 0.092 0.908
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 1 0.996 0.470 0.536 0.464
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 1 0.949 0.481 0.632 0.368
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.000 0.777 1.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.000 0.777 1.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.644 0.916 0.164 0.836
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.000 0.777 1.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.000 0.777 1.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.000 0.777 1.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.000 0.777 1.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.644 0.916 0.164 0.836
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.000 0.777 1.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 1 0.996 0.470 0.536 0.464
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.000 0.777 1.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 2 0.443 0.946 0.092 0.908
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.000 0.777 1.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 1 0.996 0.470 0.536 0.464
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.000 0.777 1.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.000 0.777 1.000 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 1 0.943 0.491 0.640 0.360
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.000 0.777 1.000 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 2 0.443 0.946 0.092 0.908
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.000 0.777 1.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 1 0.996 0.470 0.536 0.464
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.000 0.777 1.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.000 0.777 1.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 2 0.443 0.946 0.092 0.908
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.000 0.777 1.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 2 0.644 0.916 0.164 0.836
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 1 0.996 0.470 0.536 0.464
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.000 0.777 1.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.000 0.777 1.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.000 0.777 1.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.000 0.777 1.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.644 0.916 0.164 0.836
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.644 0.916 0.164 0.836
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.000 0.777 1.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 1 0.988 0.486 0.564 0.436
#> E3671E10-825D-499B-B949-D5033855C744 1 0.000 0.777 1.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.000 0.777 1.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 1 0.996 0.470 0.536 0.464
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 2 0.443 0.946 0.092 0.908
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.000 0.777 1.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.000 0.777 1.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 1 0.996 0.470 0.536 0.464
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.000 0.777 1.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 2 0.443 0.946 0.092 0.908
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.000 0.777 1.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 1 0.996 0.470 0.536 0.464
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 1 0.996 0.470 0.536 0.464
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 1 0.992 0.484 0.552 0.448
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 1 0.952 0.476 0.628 0.372
#> 821934D3-025D-40E6-8C46-5627A45AC163 1 0.996 0.470 0.536 0.464
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.000 0.777 1.000 0.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 1 0.996 0.470 0.536 0.464
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.000 0.777 1.000 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.000 0.777 1.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 1 0.996 0.470 0.536 0.464
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.000 0.777 1.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 1 0.963 0.495 0.612 0.388
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.000 0.777 1.000 0.000
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#> 0567FBCF-4E81-4E7D-9DB3-3E34820C9694 1 0.000 0.777 1.000 0.000
#> 863547D9-687E-487F-9DE5-B9C1CA1C7638 1 0.000 0.777 1.000 0.000
#> 58F2C605-A2EF-48A9-8974-09A351B259E7 1 0.000 0.777 1.000 0.000
#> FA21E342-BDB1-47E2-B9AF-251EC5F7E176 1 0.443 0.720 0.908 0.092
#> FF9677ED-0E73-428A-A253-FF4772A62A7D 1 0.000 0.777 1.000 0.000
#> F26D9AF0-B602-46A0-9CF4-2379BE9B7233 1 0.996 0.470 0.536 0.464
#> 76739E02-DAFC-4521-B89E-556AFEEFDE0C 2 0.443 0.946 0.092 0.908
#> ECD55736-C43A-40CF-868A-EAFB4B523B4C 1 0.996 0.470 0.536 0.464
#> 82E75E00-88CF-4106-BF80-899493EA66CC 1 0.996 0.470 0.536 0.464
#> E5842CB2-1441-4A60-98A5-104E0E421797 1 0.996 0.470 0.536 0.464
#> CC96629D-AFF0-4D9A-A4C2-792713145AFD 2 0.443 0.946 0.092 0.908
#> E4C04249-9BDB-4A6B-A0AE-B8B0AD4D4260 1 0.996 0.470 0.536 0.464
#> 809839A7-A175-48AA-809E-5E4C99894CDE 1 0.000 0.777 1.000 0.000
#> 6213FA46-BBBC-48EB-B7B9-D1D99FE55859 1 0.000 0.777 1.000 0.000
#> 2F5CBE2E-A7EE-4DA0-A0CD-1347086E139B 1 0.000 0.777 1.000 0.000
#> 56358A3C-9BE0-4E69-988C-C66538079C19 1 0.996 0.470 0.536 0.464
#> 139EC04C-0DC9-456E-91C8-AEF139E9370B 1 0.000 0.777 1.000 0.000
#> 62B120E7-E585-46C5-BED3-DBFB17C489A9 1 0.996 0.470 0.536 0.464
#> 693691F1-202D-43D1-BD57-D5BCC657DB1D 1 0.000 0.777 1.000 0.000
#> 47740C2A-1CB0-48DE-AC91-668D26C3EDE3 2 0.443 0.946 0.092 0.908
#> 9680E812-7F99-42AF-B8B8-415B5243F594 2 0.644 0.916 0.164 0.836
#> DA772E38-FD97-4E03-A660-634DC499551C 1 0.000 0.777 1.000 0.000
#> A956F833-50D9-49E0-92BC-FA765E556536 1 0.996 0.470 0.536 0.464
#> D7A37A60-2DE1-4C33-AE21-A300AAB90AF6 1 0.000 0.777 1.000 0.000
#> ADE8E489-7FB1-4A3D-B0DB-6D2B3CFDEE35 1 0.000 0.777 1.000 0.000
#> 50B7C59D-ECB0-44C1-B350-01CB48AE1C0A 1 0.000 0.777 1.000 0.000
#> 29F60AF8-CE42-4025-8A48-CAD9EB011A0E 1 0.000 0.777 1.000 0.000
#> D2265922-C650-4648-B888-C39D306AC21F 2 0.644 0.916 0.164 0.836
#> 39E585E6-19F6-4767-BACF-1E7C73C1A1ED 1 0.000 0.777 1.000 0.000
#> BA1B4D2D-549E-4D88-BA99-968D79B325B6 1 0.000 0.777 1.000 0.000
#> 0497195D-372B-47A6-95D7-1CF3E5D0EBC3 1 0.996 0.470 0.536 0.464
#> 979D8EDA-9FC5-44F1-9A4B-B4B4E0334E71 1 0.952 0.476 0.628 0.372
#> 01EAF933-A083-47C2-A015-9C6CD8CEC520 1 0.000 0.777 1.000 0.000
#> BCCAE932-7C2D-47CD-89C1-1A1886F9D2A5 1 0.000 0.777 1.000 0.000
#> 6F7E9F0D-164E-4696-A353-18D379AA4EF7 1 0.000 0.777 1.000 0.000
#> B7D1197D-B353-4839-A895-368613243FB7 1 0.000 0.777 1.000 0.000
#> ACCEC75A-8EDF-4D83-97DE-BD30FACAC774 1 0.996 0.470 0.536 0.464
#> 4087D782-4CB8-4A7F-AE4B-665BADA410B8 1 0.996 0.470 0.536 0.464
#> 0C4131D9-0CE6-4476-80F1-3B69B777B658 2 0.644 0.916 0.164 0.836
#> 54092E76-4C27-4A4B-8348-8748FCE728A6 1 0.000 0.777 1.000 0.000
#> E0353276-F075-43F3-BB95-3AA315D40505 1 0.996 0.470 0.536 0.464
#> 580F828B-2333-48F7-BA05-E9B6EF1AA3D5 1 0.000 0.777 1.000 0.000
#> C051D793-4538-4D76-BFC2-0C08EAA57371 1 0.000 0.777 1.000 0.000
#> 50893EF9-5D78-4731-B614-8E7F4AC5FA5F 1 0.000 0.777 1.000 0.000
#> F235BBBB-4364-4BEE-88C8-9075208D1B96 2 0.443 0.946 0.092 0.908
#> 73A25F6E-99C8-4C55-9E6C-8457BE8E44C0 1 0.993 0.483 0.548 0.452
#> 4C7213E4-7845-49FC-924A-2BC7A7AEB519 2 0.443 0.946 0.092 0.908
#> B8E40A95-9DF7-4EEE-B7D9-D17FA6B8AB2C 1 0.000 0.777 1.000 0.000
#> 766E5BEF-D5FC-4C60-831C-88667F858375 1 0.993 0.483 0.548 0.452
#> 31110A59-6DD4-4EDD-A056-C45DBC8966CC 1 0.000 0.777 1.000 0.000
#> 0816836B-3F01-45BC-A843-00867E98FAD7 1 0.996 0.470 0.536 0.464
#> 708F24EB-4551-4A3F-8E59-FA76ABE305D7 1 0.000 0.777 1.000 0.000
#> 6EF22E72-6FCD-4645-8E8A-F6F117387082 1 0.000 0.777 1.000 0.000
#> 680DFFFE-43F3-4A48-A662-FFE89FB43B04 1 0.000 0.777 1.000 0.000
#> 4BB7CD09-ECE2-4774-B82C-949B6558C4D2 1 0.987 0.487 0.568 0.432
#> 10E55344-362E-4982-B9EF-BE428086D27E 2 0.443 0.946 0.092 0.908
#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 1 0.996 0.470 0.536 0.464
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.000 0.777 1.000 0.000
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 1 0.952 0.476 0.628 0.372
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.000 0.777 1.000 0.000
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 1 0.996 0.470 0.536 0.464
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 2 0.644 0.916 0.164 0.836
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.000 0.777 1.000 0.000
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 2 0.443 0.946 0.092 0.908
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 2 0.644 0.916 0.164 0.836
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 2 0.443 0.946 0.092 0.908
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 1 0.996 0.470 0.536 0.464
#> 347C4168-42C5-494B-8080-2C244F6201FF 1 0.000 0.777 1.000 0.000
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 1 0.996 0.470 0.536 0.464
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 2 0.443 0.946 0.092 0.908
#> 59363737-247E-4524-B7CD-F43B2C861027 2 0.644 0.916 0.164 0.836
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 2 0.644 0.916 0.164 0.836
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.000 0.777 1.000 0.000
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 2 0.644 0.916 0.164 0.836
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 1 0.966 0.490 0.608 0.392
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 2 0.644 0.916 0.164 0.836
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 1 0.996 0.470 0.536 0.464
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 2 0.644 0.916 0.164 0.836
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.000 0.777 1.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 2 0.990 0.168 0.440 0.560
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.000 0.777 1.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.000 0.777 1.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 1 0.996 0.470 0.536 0.464
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.000 0.777 1.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.000 0.777 1.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.000 0.777 1.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.000 0.777 1.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.000 0.777 1.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.000 0.777 1.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 1 0.996 0.470 0.536 0.464
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 1 0.996 0.470 0.536 0.464
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 2 0.443 0.946 0.092 0.908
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 1 0.996 0.470 0.536 0.464
#> 36B38256-6879-49C3-94CC-5022F02D1561 2 0.443 0.946 0.092 0.908
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.000 0.777 1.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 1 0.996 0.470 0.536 0.464
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.000 0.777 1.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 2 0.443 0.946 0.092 0.908
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.000 0.777 1.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.000 0.777 1.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 1 0.996 0.470 0.536 0.464
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 1 0.943 0.491 0.640 0.360
#> B9009D40-10AC-48B3-9495-865BCE904CB1 2 0.443 0.946 0.092 0.908
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 1 0.993 0.483 0.548 0.452
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.000 0.777 1.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.000 0.777 1.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.000 0.777 1.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.000 0.777 1.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.000 0.777 1.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 2 0.644 0.916 0.164 0.836
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.000 0.777 1.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 2 0.644 0.916 0.164 0.836
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.000 0.777 1.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 1 0.996 0.470 0.536 0.464
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.000 0.777 1.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 1 0.993 0.483 0.548 0.452
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 2 0.443 0.946 0.092 0.908
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 1 0.996 0.470 0.536 0.464
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 1 0.996 0.470 0.536 0.464
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 1 0.996 0.470 0.536 0.464
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.000 0.777 1.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 2 0.443 0.946 0.092 0.908
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.000 0.777 1.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.000 0.777 1.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.000 0.777 1.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.000 0.777 1.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 1 0.996 0.470 0.536 0.464
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 1 0.996 0.470 0.536 0.464
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.644 0.916 0.164 0.836
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.000 0.777 1.000 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 1 0.996 0.470 0.536 0.464
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.000 0.777 1.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.000 0.777 1.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 1 0.996 0.470 0.536 0.464
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 1 0.996 0.470 0.536 0.464
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 1 0.996 0.470 0.536 0.464
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 1 0.996 0.470 0.536 0.464
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.000 0.777 1.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.000 0.777 1.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.000 0.777 1.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.000 0.777 1.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.000 0.777 1.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.000 0.777 1.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.000 0.777 1.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.443 0.946 0.092 0.908
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 1 0.993 0.483 0.548 0.452
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 1 0.996 0.470 0.536 0.464
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.000 0.777 1.000 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.000 0.777 1.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.904 0.408 0.320 0.680
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 2 0.443 0.946 0.092 0.908
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 1 0.996 0.470 0.536 0.464
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.000 0.777 1.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.000 0.777 1.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.000 0.777 1.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.644 0.916 0.164 0.836
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 2 0.443 0.946 0.092 0.908
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 2 0.443 0.946 0.092 0.908
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 1 0.996 0.470 0.536 0.464
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.000 0.777 1.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.000 0.777 1.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.952 0.476 0.628 0.372
#> BE787416-396B-48B4-A5D2-8E2EE082D001 1 0.995 0.474 0.540 0.460
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.000 0.777 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.000 0.777 1.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.644 0.916 0.164 0.836
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.000 0.777 1.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.000 0.777 1.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.000 0.777 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.000 0.777 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.000 0.777 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.000 0.777 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.000 0.777 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.000 0.777 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.000 0.777 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.000 0.777 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.000 0.777 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 1 0.996 0.470 0.536 0.464
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.644 0.916 0.164 0.836
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.000 0.777 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 1 0.996 0.470 0.536 0.464
#> ACCFCE18-1113-4203-845F-4608539005FE 1 0.996 0.470 0.536 0.464
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.000 0.777 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.000 0.777 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.644 0.916 0.164 0.836
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.443 0.946 0.092 0.908
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.2356 0.8862 0.000 0.072 0.928
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9616 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.6629 0.7742 0.016 0.360 0.624
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9616 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.4235 0.8094 0.824 0.000 0.176
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#> 54092E76-4C27-4A4B-8348-8748FCE728A6 1 0.0000 0.9616 1.000 0.000 0.000
#> E0353276-F075-43F3-BB95-3AA315D40505 2 0.2959 0.9734 0.100 0.900 0.000
#> 580F828B-2333-48F7-BA05-E9B6EF1AA3D5 1 0.0000 0.9616 1.000 0.000 0.000
#> C051D793-4538-4D76-BFC2-0C08EAA57371 1 0.0000 0.9616 1.000 0.000 0.000
#> 50893EF9-5D78-4731-B614-8E7F4AC5FA5F 1 0.1289 0.9584 0.968 0.000 0.032
#> F235BBBB-4364-4BEE-88C8-9075208D1B96 3 0.2537 0.8930 0.000 0.080 0.920
#> 73A25F6E-99C8-4C55-9E6C-8457BE8E44C0 2 0.3116 0.9654 0.108 0.892 0.000
#> 4C7213E4-7845-49FC-924A-2BC7A7AEB519 3 0.2537 0.8930 0.000 0.080 0.920
#> B8E40A95-9DF7-4EEE-B7D9-D17FA6B8AB2C 1 0.0000 0.9616 1.000 0.000 0.000
#> 766E5BEF-D5FC-4C60-831C-88667F858375 2 0.2959 0.9734 0.100 0.900 0.000
#> 31110A59-6DD4-4EDD-A056-C45DBC8966CC 1 0.1411 0.9578 0.964 0.000 0.036
#> 0816836B-3F01-45BC-A843-00867E98FAD7 2 0.2959 0.9734 0.100 0.900 0.000
#> 708F24EB-4551-4A3F-8E59-FA76ABE305D7 1 0.2165 0.9526 0.936 0.000 0.064
#> 6EF22E72-6FCD-4645-8E8A-F6F117387082 1 0.2165 0.9526 0.936 0.000 0.064
#> 680DFFFE-43F3-4A48-A662-FFE89FB43B04 1 0.0000 0.9616 1.000 0.000 0.000
#> 4BB7CD09-ECE2-4774-B82C-949B6558C4D2 2 0.3551 0.9381 0.132 0.868 0.000
#> 10E55344-362E-4982-B9EF-BE428086D27E 3 0.2625 0.8928 0.000 0.084 0.916
#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 2 0.2959 0.9734 0.100 0.900 0.000
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.2165 0.9526 0.936 0.000 0.064
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 1 0.8119 -0.0141 0.500 0.432 0.068
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.2165 0.9526 0.936 0.000 0.064
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.2959 0.9734 0.100 0.900 0.000
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 3 0.6750 0.7886 0.024 0.336 0.640
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.0000 0.9616 1.000 0.000 0.000
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 3 0.2537 0.8930 0.000 0.080 0.920
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 3 0.6750 0.7886 0.024 0.336 0.640
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 3 0.2537 0.8930 0.000 0.080 0.920
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.2959 0.9734 0.100 0.900 0.000
#> 347C4168-42C5-494B-8080-2C244F6201FF 1 0.2165 0.9526 0.936 0.000 0.064
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.2959 0.9734 0.100 0.900 0.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 3 0.2537 0.8930 0.000 0.080 0.920
#> 59363737-247E-4524-B7CD-F43B2C861027 3 0.6750 0.7886 0.024 0.336 0.640
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 3 0.6750 0.7886 0.024 0.336 0.640
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.2165 0.9526 0.936 0.000 0.064
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 3 0.6750 0.7886 0.024 0.336 0.640
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.3267 0.9563 0.116 0.884 0.000
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 3 0.6750 0.7886 0.024 0.336 0.640
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.2959 0.9734 0.100 0.900 0.000
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 3 0.6543 0.7818 0.016 0.344 0.640
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.9616 1.000 0.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.8755 -0.0337 0.488 0.112 0.400
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.9616 1.000 0.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.9616 1.000 0.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.2959 0.9734 0.100 0.900 0.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.2165 0.9526 0.936 0.000 0.064
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.9616 1.000 0.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.9616 1.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.9616 1.000 0.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.2165 0.9526 0.936 0.000 0.064
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.9616 1.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.2959 0.9734 0.100 0.900 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.2959 0.9734 0.100 0.900 0.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.2537 0.8930 0.000 0.080 0.920
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.2959 0.9734 0.100 0.900 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.2625 0.8928 0.000 0.084 0.916
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.2165 0.9526 0.936 0.000 0.064
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.2959 0.9734 0.100 0.900 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.9616 1.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.2537 0.8930 0.000 0.080 0.920
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.2165 0.9526 0.936 0.000 0.064
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.2165 0.9526 0.936 0.000 0.064
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.3038 0.9695 0.104 0.896 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 1 0.8055 -0.0378 0.496 0.440 0.064
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.2537 0.8930 0.000 0.080 0.920
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.3192 0.9611 0.112 0.888 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.9616 1.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.1964 0.9545 0.944 0.000 0.056
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.9616 1.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.9616 1.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.9616 1.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 3 0.6750 0.7886 0.024 0.336 0.640
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.9616 1.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.6750 0.7886 0.024 0.336 0.640
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.9616 1.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.2959 0.9734 0.100 0.900 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.9616 1.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.3192 0.9611 0.112 0.888 0.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.2537 0.8930 0.000 0.080 0.920
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.2959 0.9734 0.100 0.900 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.2959 0.9734 0.100 0.900 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.2959 0.9734 0.100 0.900 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.9616 1.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.2537 0.8930 0.000 0.080 0.920
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9616 1.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.1411 0.9578 0.964 0.000 0.036
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.9616 1.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9616 1.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.2959 0.9734 0.100 0.900 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.2959 0.9734 0.100 0.900 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.6750 0.7886 0.024 0.336 0.640
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.0000 0.9616 1.000 0.000 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.2959 0.9734 0.100 0.900 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.1289 0.9584 0.968 0.000 0.032
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9616 1.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.2959 0.9734 0.100 0.900 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.2959 0.9734 0.100 0.900 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.2959 0.9734 0.100 0.900 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.2959 0.9734 0.100 0.900 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.9616 1.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9616 1.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.2165 0.9526 0.936 0.000 0.064
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9616 1.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.1411 0.9578 0.964 0.000 0.036
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9616 1.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.2165 0.9526 0.936 0.000 0.064
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.2625 0.8928 0.000 0.084 0.916
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.3192 0.9611 0.112 0.888 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.2959 0.9734 0.100 0.900 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.2165 0.9526 0.936 0.000 0.064
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9616 1.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.7839 -0.0754 0.060 0.560 0.380
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.2625 0.8928 0.000 0.084 0.916
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.2959 0.9734 0.100 0.900 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.9616 1.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.2165 0.9526 0.936 0.000 0.064
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.2165 0.9526 0.936 0.000 0.064
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.6750 0.7886 0.024 0.336 0.640
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.2537 0.8930 0.000 0.080 0.920
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.2537 0.8930 0.000 0.080 0.920
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.2959 0.9734 0.100 0.900 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.2165 0.9526 0.936 0.000 0.064
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.2165 0.9526 0.936 0.000 0.064
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.7756 0.5195 0.672 0.200 0.128
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.2959 0.9734 0.100 0.900 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9616 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.2165 0.9526 0.936 0.000 0.064
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.6750 0.7886 0.024 0.336 0.640
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.9616 1.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.2165 0.9526 0.936 0.000 0.064
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9616 1.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.2165 0.9526 0.936 0.000 0.064
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9616 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9616 1.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.1289 0.9584 0.968 0.000 0.032
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9616 1.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.2165 0.9526 0.936 0.000 0.064
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.2165 0.9526 0.936 0.000 0.064
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9616 1.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.2959 0.9734 0.100 0.900 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.6750 0.7886 0.024 0.336 0.640
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.2165 0.9526 0.936 0.000 0.064
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.2959 0.9734 0.100 0.900 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.2959 0.9734 0.100 0.900 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.2165 0.9526 0.936 0.000 0.064
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.2165 0.9526 0.936 0.000 0.064
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.6750 0.7886 0.024 0.336 0.640
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.2537 0.8930 0.000 0.080 0.920
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.2867 0.74290 0.000 0.012 0.884 0.104
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.7076 0.68721 0.000 0.124 0.460 0.416
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0469 0.67201 0.988 0.000 0.000 0.012
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.6482 0.23299 0.640 0.000 0.152 0.208
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.2635 0.91310 0.020 0.904 0.000 0.076
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.3606 0.88989 0.020 0.840 0.000 0.140
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.3554 0.89189 0.020 0.844 0.000 0.136
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.3606 0.88989 0.020 0.840 0.000 0.140
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0469 0.83129 0.000 0.012 0.988 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.4948 0.00983 0.560 0.000 0.000 0.440
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0469 0.67201 0.988 0.000 0.000 0.012
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0469 0.83129 0.000 0.012 0.988 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.4728 0.80228 0.032 0.752 0.000 0.216
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.3392 0.89742 0.020 0.856 0.000 0.124
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.4941 0.02451 0.564 0.000 0.000 0.436
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.7042 0.69685 0.004 0.104 0.472 0.420
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.1022 0.83030 0.000 0.032 0.968 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.4941 0.02451 0.564 0.000 0.000 0.436
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.3606 0.88989 0.020 0.840 0.000 0.140
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#> 4087D782-4CB8-4A7F-AE4B-665BADA410B8 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> 0C4131D9-0CE6-4476-80F1-3B69B777B658 3 0.7042 0.69685 0.004 0.104 0.472 0.420
#> 54092E76-4C27-4A4B-8348-8748FCE728A6 1 0.2081 0.61421 0.916 0.000 0.000 0.084
#> E0353276-F075-43F3-BB95-3AA315D40505 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> 580F828B-2333-48F7-BA05-E9B6EF1AA3D5 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> C051D793-4538-4D76-BFC2-0C08EAA57371 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> 50893EF9-5D78-4731-B614-8E7F4AC5FA5F 1 0.3764 0.47689 0.784 0.000 0.000 0.216
#> F235BBBB-4364-4BEE-88C8-9075208D1B96 3 0.0469 0.83129 0.000 0.012 0.988 0.000
#> 73A25F6E-99C8-4C55-9E6C-8457BE8E44C0 2 0.3501 0.89382 0.020 0.848 0.000 0.132
#> 4C7213E4-7845-49FC-924A-2BC7A7AEB519 3 0.0469 0.83129 0.000 0.012 0.988 0.000
#> B8E40A95-9DF7-4EEE-B7D9-D17FA6B8AB2C 1 0.0469 0.67201 0.988 0.000 0.000 0.012
#> 766E5BEF-D5FC-4C60-831C-88667F858375 2 0.3392 0.89742 0.020 0.856 0.000 0.124
#> 31110A59-6DD4-4EDD-A056-C45DBC8966CC 1 0.4679 0.23144 0.648 0.000 0.000 0.352
#> 0816836B-3F01-45BC-A843-00867E98FAD7 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> 708F24EB-4551-4A3F-8E59-FA76ABE305D7 1 0.4941 0.02451 0.564 0.000 0.000 0.436
#> 6EF22E72-6FCD-4645-8E8A-F6F117387082 1 0.4941 0.02451 0.564 0.000 0.000 0.436
#> 680DFFFE-43F3-4A48-A662-FFE89FB43B04 1 0.0469 0.67201 0.988 0.000 0.000 0.012
#> 4BB7CD09-ECE2-4774-B82C-949B6558C4D2 2 0.4206 0.87512 0.048 0.816 0.000 0.136
#> 10E55344-362E-4982-B9EF-BE428086D27E 3 0.1356 0.83068 0.000 0.032 0.960 0.008
#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.4955 -0.00870 0.556 0.000 0.000 0.444
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 4 0.7017 0.61510 0.236 0.188 0.000 0.576
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.4941 0.02451 0.564 0.000 0.000 0.436
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.3554 0.89189 0.020 0.844 0.000 0.136
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 3 0.7042 0.69685 0.004 0.104 0.472 0.420
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 3 0.1022 0.83030 0.000 0.032 0.968 0.000
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 3 0.7042 0.69685 0.004 0.104 0.472 0.420
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 3 0.1022 0.83030 0.000 0.032 0.968 0.000
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.2973 0.90748 0.020 0.884 0.000 0.096
#> 347C4168-42C5-494B-8080-2C244F6201FF 4 0.4933 0.55571 0.432 0.000 0.000 0.568
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 3 0.1610 0.82454 0.000 0.032 0.952 0.016
#> 59363737-247E-4524-B7CD-F43B2C861027 3 0.7042 0.69685 0.004 0.104 0.472 0.420
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 3 0.7042 0.69685 0.004 0.104 0.472 0.420
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.4877 0.07418 0.592 0.000 0.000 0.408
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 3 0.7042 0.69685 0.004 0.104 0.472 0.420
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.3658 0.88796 0.020 0.836 0.000 0.144
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 3 0.7042 0.69685 0.004 0.104 0.472 0.420
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.3219 0.90221 0.020 0.868 0.000 0.112
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 3 0.6878 0.69475 0.000 0.104 0.472 0.424
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.8059 -0.34511 0.412 0.012 0.216 0.360
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.4955 -0.06194 0.556 0.000 0.000 0.444
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0469 0.67201 0.988 0.000 0.000 0.012
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.4941 0.02451 0.564 0.000 0.000 0.436
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.2635 0.91288 0.020 0.904 0.000 0.076
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0469 0.83129 0.000 0.012 0.988 0.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.2489 0.91468 0.020 0.912 0.000 0.068
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.1356 0.83068 0.000 0.032 0.960 0.008
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.4925 0.01616 0.572 0.000 0.000 0.428
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0469 0.67201 0.988 0.000 0.000 0.012
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.0469 0.83129 0.000 0.012 0.988 0.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.4925 0.01616 0.572 0.000 0.000 0.428
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.4925 0.01616 0.572 0.000 0.000 0.428
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.3554 0.89189 0.020 0.844 0.000 0.136
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 4 0.7193 0.59980 0.240 0.208 0.000 0.552
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0469 0.83129 0.000 0.012 0.988 0.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.3598 0.89503 0.028 0.848 0.000 0.124
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0469 0.67201 0.988 0.000 0.000 0.012
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.2921 0.56205 0.860 0.000 0.000 0.140
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0469 0.67201 0.988 0.000 0.000 0.012
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 3 0.7042 0.69685 0.004 0.104 0.472 0.420
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0469 0.67279 0.988 0.000 0.000 0.012
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.6997 0.69860 0.004 0.100 0.476 0.420
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0469 0.67201 0.988 0.000 0.000 0.012
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.3501 0.89382 0.020 0.848 0.000 0.132
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0469 0.83129 0.000 0.012 0.988 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.2635 0.91288 0.020 0.904 0.000 0.076
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0469 0.83129 0.000 0.012 0.988 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.4866 0.09120 0.596 0.000 0.000 0.404
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0469 0.67201 0.988 0.000 0.000 0.012
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.3335 0.89908 0.020 0.860 0.000 0.120
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.7042 0.69685 0.004 0.104 0.472 0.420
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.1716 0.59468 0.936 0.000 0.000 0.064
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.3688 0.48802 0.792 0.000 0.000 0.208
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0469 0.67201 0.988 0.000 0.000 0.012
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.4941 0.02451 0.564 0.000 0.000 0.436
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0469 0.67201 0.988 0.000 0.000 0.012
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.4164 0.40519 0.736 0.000 0.000 0.264
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0469 0.67201 0.988 0.000 0.000 0.012
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.4981 -0.16840 0.536 0.000 0.000 0.464
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.1356 0.83068 0.000 0.032 0.960 0.008
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.3659 0.89050 0.024 0.840 0.000 0.136
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 4 0.4916 0.55759 0.424 0.000 0.000 0.576
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.8103 0.11151 0.016 0.460 0.284 0.240
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.1356 0.83068 0.000 0.032 0.960 0.008
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0188 0.67202 0.996 0.000 0.000 0.004
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.4972 -0.06896 0.544 0.000 0.000 0.456
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.4955 -0.00870 0.556 0.000 0.000 0.444
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.7042 0.69685 0.004 0.104 0.472 0.420
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0469 0.83129 0.000 0.012 0.988 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0469 0.83129 0.000 0.012 0.988 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.2256 0.91645 0.020 0.924 0.000 0.056
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.4967 -0.10439 0.548 0.000 0.000 0.452
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.4981 -0.12012 0.536 0.000 0.000 0.464
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.7033 -0.33290 0.488 0.020 0.068 0.424
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.3099 0.90502 0.020 0.876 0.000 0.104
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.4916 0.03009 0.576 0.000 0.000 0.424
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.7042 0.69685 0.004 0.104 0.472 0.420
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.4925 0.01616 0.572 0.000 0.000 0.428
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0469 0.67201 0.988 0.000 0.000 0.012
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.4925 0.01616 0.572 0.000 0.000 0.428
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0469 0.67201 0.988 0.000 0.000 0.012
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.4356 0.34847 0.708 0.000 0.000 0.292
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0469 0.67201 0.988 0.000 0.000 0.012
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.4925 0.01616 0.572 0.000 0.000 0.428
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.4925 0.01616 0.572 0.000 0.000 0.428
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.67437 1.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.7042 0.69685 0.004 0.104 0.472 0.420
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.4948 -0.04138 0.560 0.000 0.000 0.440
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0707 0.92646 0.020 0.980 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.4941 0.02451 0.564 0.000 0.000 0.436
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.4981 -0.11216 0.536 0.000 0.000 0.464
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.7042 0.69685 0.004 0.104 0.472 0.420
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.1022 0.83030 0.000 0.032 0.968 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.3019 0.7670 0.000 0.000 0.864 0.048 0.088
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9148 1.000 0.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.5768 0.9100 0.000 0.052 0.264 0.640 0.044
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9148 1.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.7180 -0.1534 0.508 0.000 0.152 0.060 0.280
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0324 0.8419 0.000 0.992 0.000 0.004 0.004
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.3702 0.8100 0.000 0.820 0.000 0.096 0.084
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.5703 0.7411 0.000 0.628 0.000 0.184 0.188
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.5673 0.7429 0.000 0.632 0.000 0.184 0.184
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.5763 0.7365 0.000 0.620 0.000 0.188 0.192
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0162 0.9368 0.000 0.004 0.996 0.000 0.000
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#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 5 0.6346 0.7153 0.232 0.000 0.052 0.100 0.616
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.5251 0.7652 0.000 0.680 0.000 0.184 0.136
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9148 1.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.4910 0.8404 0.276 0.000 0.004 0.048 0.672
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.4622 0.9743 0.000 0.044 0.264 0.692 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.9148 1.000 0.000 0.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.4550 0.8371 0.276 0.000 0.000 0.036 0.688
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9148 1.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 5 0.4599 0.8371 0.272 0.000 0.000 0.040 0.688
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9148 1.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9148 1.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.5347 -0.3843 0.528 0.000 0.004 0.044 0.424
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9148 1.000 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.4374 0.8407 0.272 0.000 0.000 0.028 0.700
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.4804 0.7956 0.328 0.000 0.000 0.036 0.636
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0404 0.9117 0.988 0.000 0.000 0.012 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.8432 0.000 1.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.4622 0.9743 0.000 0.044 0.264 0.692 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.4708 0.8264 0.292 0.000 0.000 0.040 0.668
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.8432 0.000 1.000 0.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0162 0.8428 0.000 0.996 0.000 0.004 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.4405 0.8425 0.280 0.000 0.004 0.020 0.696
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.3607 0.8426 0.244 0.000 0.000 0.004 0.752
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.4622 0.9743 0.000 0.044 0.264 0.692 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.2393 0.9201 0.000 0.004 0.900 0.016 0.080
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.5017 0.61492 0.000 0.000 0.696 0.048 0.184 0.072
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0363 0.92196 0.988 0.000 0.000 0.012 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.5402 0.81913 0.000 0.016 0.148 0.680 0.024 0.132
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0806 0.91999 0.972 0.000 0.000 0.020 0.008 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 5 0.6864 0.37915 0.360 0.000 0.136 0.040 0.436 0.028
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0603 0.91876 0.000 0.980 0.000 0.016 0.004 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.4115 0.04418 0.000 0.624 0.000 0.012 0.004 0.360
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 6 0.3690 0.84278 0.000 0.308 0.000 0.008 0.000 0.684
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 6 0.3464 0.84199 0.000 0.312 0.000 0.000 0.000 0.688
#> 6F178361-2A14-4245-8A35-13A0174231E4 6 0.4428 0.81529 0.000 0.260 0.000 0.016 0.036 0.688
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0146 0.91779 0.000 0.000 0.996 0.004 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 5 0.2781 0.82535 0.108 0.000 0.000 0.024 0.860 0.008
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.2641 0.87663 0.888 0.000 0.000 0.032 0.040 0.040
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0146 0.91779 0.000 0.000 0.996 0.004 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 6 0.4863 0.79224 0.000 0.232 0.000 0.020 0.072 0.676
#> 19342512-D282-4C35-B9A9-3A1180D594F4 6 0.3482 0.84027 0.000 0.316 0.000 0.000 0.000 0.684
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 5 0.3351 0.82165 0.108 0.000 0.000 0.040 0.832 0.020
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.2821 0.98926 0.000 0.016 0.152 0.832 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.3121 0.89604 0.000 0.000 0.836 0.004 0.044 0.116
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0909 0.91951 0.968 0.000 0.000 0.012 0.000 0.020
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.1716 0.90860 0.932 0.000 0.000 0.036 0.004 0.028
#> BA285E50-200E-4B98-9F8B-904AD679CD45 5 0.3150 0.82380 0.112 0.000 0.000 0.036 0.840 0.012
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 6 0.3840 0.83976 0.000 0.288 0.000 0.008 0.008 0.696
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0405 0.91375 0.000 0.000 0.988 0.004 0.000 0.008
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 6 0.5546 0.77108 0.000 0.284 0.000 0.052 0.064 0.600
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.1036 0.92041 0.964 0.000 0.000 0.024 0.008 0.004
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.3121 0.89604 0.000 0.000 0.836 0.004 0.044 0.116
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0260 0.92280 0.000 0.992 0.000 0.008 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.4127 0.02429 0.000 0.620 0.000 0.012 0.004 0.364
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0260 0.92280 0.000 0.992 0.000 0.008 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0806 0.91999 0.972 0.000 0.000 0.020 0.008 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0837 0.90176 0.000 0.972 0.000 0.004 0.004 0.020
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.92402 0.000 1.000 0.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0146 0.92259 0.000 0.996 0.000 0.004 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0146 0.91779 0.000 0.000 0.996 0.004 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.3351 0.81273 0.084 0.000 0.000 0.028 0.840 0.048
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 5 0.5628 0.78714 0.176 0.000 0.000 0.048 0.640 0.136
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.2030 0.88509 0.908 0.000 0.000 0.028 0.000 0.064
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.2821 0.98926 0.000 0.016 0.152 0.832 0.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 5 0.3408 0.82125 0.112 0.000 0.000 0.036 0.828 0.024
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0146 0.92259 0.000 0.996 0.000 0.004 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0146 0.91779 0.000 0.000 0.996 0.004 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.4214 0.74584 0.776 0.000 0.000 0.048 0.052 0.124
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.3802 0.81065 0.064 0.000 0.000 0.024 0.804 0.108
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.4127 0.02429 0.000 0.620 0.000 0.012 0.004 0.364
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 5 0.4590 0.72392 0.092 0.000 0.000 0.072 0.756 0.080
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0405 0.92118 0.988 0.000 0.000 0.004 0.000 0.008
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0405 0.91908 0.000 0.988 0.000 0.008 0.004 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.91774 0.000 0.000 1.000 0.000 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.3330 0.89344 0.000 0.000 0.828 0.012 0.044 0.116
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 5 0.5023 0.68734 0.076 0.000 0.004 0.072 0.724 0.124
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0622 0.92074 0.980 0.000 0.000 0.008 0.000 0.012
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 6 0.3547 0.84405 0.000 0.300 0.000 0.000 0.004 0.696
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.4672 0.82142 0.108 0.000 0.000 0.040 0.740 0.112
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0547 0.92159 0.980 0.000 0.000 0.020 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 6 0.3482 0.84027 0.000 0.316 0.000 0.000 0.000 0.684
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.2821 0.98926 0.000 0.016 0.152 0.832 0.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0767 0.91870 0.976 0.000 0.000 0.012 0.008 0.004
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.3121 0.89604 0.000 0.000 0.836 0.004 0.044 0.116
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 6 0.5368 0.79049 0.000 0.268 0.000 0.048 0.060 0.624
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 6 0.4182 0.49542 0.000 0.004 0.000 0.040 0.256 0.700
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.1003 0.92062 0.964 0.000 0.000 0.020 0.000 0.016
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 5 0.5702 0.76602 0.108 0.000 0.000 0.048 0.616 0.228
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.2821 0.98926 0.000 0.016 0.152 0.832 0.000 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 5 0.6083 0.59621 0.316 0.000 0.000 0.044 0.524 0.116
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0363 0.92125 0.988 0.000 0.000 0.012 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.1334 0.91036 0.948 0.000 0.000 0.020 0.000 0.032
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 6 0.5597 -0.32162 0.056 0.000 0.000 0.040 0.404 0.500
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.2821 0.98926 0.000 0.016 0.152 0.832 0.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.1564 0.90554 0.936 0.000 0.000 0.024 0.000 0.040
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.92402 0.000 1.000 0.000 0.000 0.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0405 0.92137 0.988 0.000 0.000 0.008 0.000 0.004
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.3330 0.89344 0.000 0.000 0.828 0.012 0.044 0.116
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0520 0.92163 0.984 0.000 0.000 0.008 0.000 0.008
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 6 0.3972 0.83173 0.000 0.320 0.000 0.012 0.004 0.664
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0520 0.92111 0.984 0.000 0.000 0.008 0.000 0.008
#> D209EAAE-2A01-4CD4-9987-272F17352574 5 0.5436 0.51351 0.052 0.000 0.000 0.036 0.540 0.372
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 6 0.3936 0.53000 0.000 0.012 0.000 0.024 0.228 0.736
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 5 0.3802 0.81065 0.064 0.000 0.000 0.024 0.804 0.108
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.2173 0.90696 0.000 0.000 0.904 0.004 0.028 0.064
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0881 0.92004 0.972 0.000 0.000 0.012 0.008 0.008
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0146 0.92401 0.000 0.996 0.000 0.004 0.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0547 0.92159 0.980 0.000 0.000 0.020 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.4631 0.32136 0.620 0.000 0.000 0.040 0.332 0.008
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0146 0.91779 0.000 0.000 0.996 0.004 0.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 5 0.3661 0.82038 0.136 0.000 0.000 0.036 0.804 0.024
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.2821 0.98926 0.000 0.016 0.152 0.832 0.000 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 6 0.4300 0.57917 0.000 0.456 0.000 0.012 0.004 0.528
#> 8AA6D751-D111-42EE-B874-D82769F4A888 5 0.3317 0.81445 0.168 0.000 0.000 0.016 0.804 0.012
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0820 0.92078 0.972 0.000 0.000 0.016 0.000 0.012
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 5 0.4291 0.83478 0.132 0.000 0.000 0.044 0.768 0.056
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.1116 0.92019 0.960 0.000 0.000 0.028 0.008 0.004
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.2821 0.98926 0.000 0.016 0.152 0.832 0.000 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.2821 0.98926 0.000 0.016 0.152 0.832 0.000 0.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 5 0.4637 0.72926 0.256 0.000 0.000 0.036 0.680 0.028
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 6 0.4754 0.76652 0.000 0.196 0.000 0.024 0.076 0.704
#> E3671E10-825D-499B-B949-D5033855C744 5 0.6105 0.69881 0.248 0.000 0.000 0.052 0.564 0.136
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 5 0.4518 0.82716 0.112 0.000 0.000 0.036 0.752 0.100
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0146 0.92401 0.000 0.996 0.000 0.004 0.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0146 0.91779 0.000 0.000 0.996 0.004 0.000 0.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0717 0.92051 0.976 0.000 0.000 0.008 0.000 0.016
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.1088 0.92062 0.960 0.000 0.000 0.024 0.000 0.016
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0508 0.91662 0.000 0.984 0.000 0.012 0.004 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.1575 0.91369 0.936 0.000 0.000 0.032 0.000 0.032
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0146 0.91779 0.000 0.000 0.996 0.004 0.000 0.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 5 0.5183 0.29098 0.456 0.000 0.000 0.040 0.480 0.024
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0146 0.92401 0.000 0.996 0.000 0.004 0.000 0.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 6 0.3938 0.83711 0.000 0.312 0.000 0.012 0.004 0.672
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 6 0.3354 0.81564 0.000 0.240 0.000 0.004 0.004 0.752
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 6 0.3637 0.68599 0.000 0.084 0.000 0.000 0.124 0.792
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0146 0.92401 0.000 0.996 0.000 0.004 0.000 0.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.0717 0.92054 0.976 0.000 0.000 0.008 0.000 0.016
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0603 0.91876 0.000 0.980 0.000 0.016 0.004 0.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 5 0.6159 0.69548 0.280 0.000 0.000 0.056 0.544 0.120
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.3745 0.80274 0.816 0.000 0.000 0.044 0.052 0.088
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.0603 0.91876 0.000 0.980 0.000 0.016 0.004 0.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0862 0.91876 0.972 0.000 0.000 0.016 0.008 0.004
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 6 0.3584 0.81834 0.000 0.244 0.000 0.004 0.012 0.740
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#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 5 0.5041 0.81588 0.116 0.000 0.000 0.048 0.708 0.128
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0146 0.92401 0.000 0.996 0.000 0.004 0.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.2231 0.86567 0.900 0.000 0.000 0.028 0.068 0.004
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.0622 0.90800 0.000 0.000 0.980 0.012 0.000 0.008
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 5 0.4389 0.83055 0.116 0.000 0.000 0.040 0.764 0.080
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 5 0.4714 0.82359 0.116 0.000 0.000 0.040 0.736 0.108
#> BCC92C08-F035-474D-9D53-0336D89366AB 6 0.3446 0.84325 0.000 0.308 0.000 0.000 0.000 0.692
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 6 0.3535 0.55784 0.000 0.012 0.000 0.008 0.220 0.760
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0291 0.91613 0.000 0.000 0.992 0.004 0.000 0.004
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 6 0.3584 0.84290 0.004 0.308 0.000 0.000 0.000 0.688
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0767 0.91870 0.976 0.000 0.000 0.012 0.008 0.004
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.6250 0.12198 0.528 0.000 0.000 0.052 0.284 0.136
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.2632 0.84278 0.880 0.000 0.000 0.032 0.076 0.012
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0260 0.92179 0.992 0.000 0.000 0.008 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0777 0.92119 0.972 0.000 0.000 0.024 0.000 0.004
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.2821 0.98926 0.000 0.016 0.152 0.832 0.000 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.3443 0.81200 0.832 0.000 0.000 0.032 0.096 0.040
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.2662 0.97103 0.000 0.004 0.152 0.840 0.004 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0909 0.91982 0.968 0.000 0.000 0.020 0.012 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.92402 0.000 1.000 0.000 0.000 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.1003 0.92147 0.964 0.000 0.000 0.020 0.000 0.016
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 6 0.3464 0.84199 0.000 0.312 0.000 0.000 0.000 0.688
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0146 0.91779 0.000 0.000 0.996 0.004 0.000 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.92402 0.000 1.000 0.000 0.000 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.92402 0.000 1.000 0.000 0.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 6 0.4178 0.65139 0.000 0.428 0.000 0.008 0.004 0.560
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.1845 0.89388 0.920 0.000 0.000 0.028 0.000 0.052
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0146 0.91779 0.000 0.000 0.996 0.004 0.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.1757 0.88501 0.928 0.000 0.000 0.008 0.052 0.012
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 5 0.5410 0.66570 0.124 0.000 0.000 0.072 0.680 0.124
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0993 0.92034 0.964 0.000 0.000 0.024 0.000 0.012
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0862 0.91876 0.972 0.000 0.000 0.016 0.008 0.004
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0146 0.92401 0.000 0.996 0.000 0.004 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 6 0.3482 0.84027 0.000 0.316 0.000 0.000 0.000 0.684
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.2821 0.98926 0.000 0.016 0.152 0.832 0.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.3752 0.73490 0.760 0.000 0.000 0.036 0.004 0.200
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0260 0.92280 0.000 0.992 0.000 0.008 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.5027 -0.05292 0.532 0.000 0.000 0.032 0.412 0.024
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0622 0.91949 0.980 0.000 0.000 0.012 0.008 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0603 0.91876 0.000 0.980 0.000 0.016 0.004 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.92402 0.000 1.000 0.000 0.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0260 0.92280 0.000 0.992 0.000 0.008 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0508 0.91662 0.000 0.984 0.000 0.012 0.004 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.2507 0.87672 0.884 0.000 0.000 0.040 0.004 0.072
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0520 0.92093 0.984 0.000 0.000 0.008 0.000 0.008
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 5 0.2566 0.83137 0.112 0.000 0.000 0.008 0.868 0.012
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0717 0.91938 0.976 0.000 0.000 0.016 0.008 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 5 0.4912 0.59667 0.336 0.000 0.000 0.036 0.604 0.024
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.3189 0.80695 0.844 0.000 0.000 0.036 0.100 0.020
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.4778 0.81863 0.108 0.000 0.000 0.044 0.732 0.116
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.3330 0.89344 0.000 0.000 0.828 0.012 0.044 0.116
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 6 0.3584 0.84290 0.004 0.308 0.000 0.000 0.000 0.688
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0146 0.92401 0.000 0.996 0.000 0.004 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.4224 0.65596 0.004 0.000 0.000 0.036 0.684 0.276
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0291 0.92154 0.992 0.000 0.000 0.004 0.000 0.004
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 6 0.7277 0.38065 0.000 0.144 0.096 0.252 0.028 0.480
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.3330 0.89344 0.000 0.000 0.828 0.012 0.044 0.116
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0146 0.92401 0.000 0.996 0.000 0.004 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.3632 0.80937 0.824 0.000 0.000 0.048 0.044 0.084
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.3874 0.82845 0.100 0.000 0.000 0.024 0.800 0.076
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.3050 0.83291 0.108 0.000 0.000 0.016 0.848 0.028
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.2821 0.98926 0.000 0.016 0.152 0.832 0.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0146 0.91779 0.000 0.000 0.996 0.004 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0146 0.91779 0.000 0.000 0.996 0.004 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.4046 -0.00226 0.000 0.620 0.000 0.004 0.008 0.368
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.5564 0.78432 0.172 0.000 0.000 0.048 0.648 0.132
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.4229 0.71487 0.048 0.000 0.000 0.068 0.780 0.104
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 5 0.5619 0.64527 0.120 0.000 0.004 0.072 0.668 0.136
#> BE787416-396B-48B4-A5D2-8E2EE082D001 6 0.3820 0.82262 0.000 0.332 0.000 0.004 0.004 0.660
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0820 0.92118 0.972 0.000 0.000 0.016 0.000 0.012
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.3036 0.82763 0.124 0.000 0.000 0.028 0.840 0.008
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.2821 0.98926 0.000 0.016 0.152 0.832 0.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0777 0.92119 0.972 0.000 0.000 0.024 0.000 0.004
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.5307 0.81834 0.140 0.000 0.000 0.056 0.684 0.120
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0862 0.91876 0.972 0.000 0.000 0.016 0.008 0.004
#> D841D893-0126-4D5A-A5A0-955172379E32 5 0.5253 0.81300 0.124 0.000 0.000 0.052 0.688 0.136
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0458 0.92128 0.984 0.000 0.000 0.016 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0458 0.92128 0.984 0.000 0.000 0.016 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 5 0.4874 0.48542 0.408 0.000 0.000 0.032 0.544 0.016
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0767 0.91870 0.976 0.000 0.000 0.012 0.008 0.004
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.4902 0.81822 0.116 0.000 0.000 0.044 0.720 0.120
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.6068 0.69865 0.284 0.000 0.000 0.048 0.548 0.120
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0858 0.92126 0.968 0.000 0.000 0.028 0.000 0.004
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.92402 0.000 1.000 0.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.2821 0.98926 0.000 0.016 0.152 0.832 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.5627 0.79240 0.168 0.000 0.000 0.052 0.644 0.136
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.92402 0.000 1.000 0.000 0.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0603 0.91876 0.000 0.980 0.000 0.016 0.004 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.2520 0.82987 0.108 0.000 0.000 0.012 0.872 0.008
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.3575 0.81832 0.072 0.000 0.000 0.024 0.824 0.080
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.2821 0.98926 0.000 0.016 0.152 0.832 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.3121 0.89604 0.000 0.000 0.836 0.004 0.044 0.116
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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 6.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.981 0.991 0.5003 0.500 0.500
#> 3 3 1.000 0.979 0.992 0.2825 0.844 0.692
#> 4 4 0.845 0.873 0.881 0.0907 0.957 0.880
#> 5 5 0.958 0.907 0.949 0.1084 0.884 0.647
#> 6 6 0.913 0.884 0.926 0.0457 0.955 0.801
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 6
#> attr(,"optional")
#> [1] 2 3 5
There is also optional best \(k\) = 2 3 5 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
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.0000 0.987 0.000 1.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.995 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.0000 0.987 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.995 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.1843 0.969 0.972 0.028
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0376 0.987 0.004 0.996
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0376 0.987 0.004 0.996
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0376 0.987 0.004 0.996
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0376 0.987 0.004 0.996
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0376 0.987 0.004 0.996
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.0000 0.987 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.995 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.995 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.0000 0.987 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.7219 0.764 0.200 0.800
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0376 0.987 0.004 0.996
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0376 0.992 0.996 0.004
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#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0376 0.987 0.004 0.996
#> 36B38256-6879-49C3-94CC-5022F02D1561 2 0.0000 0.987 0.000 1.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.995 1.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0376 0.987 0.004 0.996
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.995 1.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 2 0.0000 0.987 0.000 1.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.995 1.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.995 1.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0376 0.987 0.004 0.996
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.0672 0.984 0.008 0.992
#> B9009D40-10AC-48B3-9495-865BCE904CB1 2 0.0000 0.987 0.000 1.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.7219 0.764 0.200 0.800
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.995 1.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.995 1.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.995 1.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.995 1.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.995 1.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 2 0.0000 0.987 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.995 1.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 2 0.0000 0.987 0.000 1.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.995 1.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0376 0.987 0.004 0.996
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.995 1.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.0938 0.981 0.012 0.988
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 2 0.0000 0.987 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0376 0.987 0.004 0.996
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0376 0.987 0.004 0.996
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0376 0.987 0.004 0.996
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.995 1.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 2 0.0000 0.987 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.995 1.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0672 0.989 0.992 0.008
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.995 1.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.995 1.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0376 0.987 0.004 0.996
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0376 0.987 0.004 0.996
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.0000 0.987 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.0000 0.995 1.000 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0376 0.987 0.004 0.996
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.995 1.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.995 1.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0376 0.987 0.004 0.996
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0376 0.987 0.004 0.996
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.987 0.000 1.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0376 0.987 0.004 0.996
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.995 1.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.995 1.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.995 1.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.995 1.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.995 1.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0376 0.992 0.996 0.004
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.995 1.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.0000 0.987 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.7219 0.764 0.200 0.800
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0376 0.987 0.004 0.996
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0000 0.995 1.000 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.995 1.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.0000 0.987 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 2 0.0000 0.987 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0376 0.987 0.004 0.996
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.995 1.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.995 1.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.995 1.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.0000 0.987 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 2 0.0000 0.987 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 2 0.0000 0.987 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.0000 0.987 0.000 1.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.995 1.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.4298 0.903 0.912 0.088
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 2 0.0000 0.987 0.000 1.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0376 0.987 0.004 0.996
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.995 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.995 1.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.0000 0.987 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.995 1.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.995 1.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.995 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.995 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.995 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.995 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.995 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.995 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.995 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.995 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.995 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0376 0.987 0.004 0.996
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.987 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.995 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0376 0.987 0.004 0.996
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0376 0.987 0.004 0.996
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.995 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.995 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.0000 0.987 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.0000 0.987 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0000 0.986 0.000 0.000 1.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.995 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.0000 0.986 0.000 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.995 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.6126 0.337 0.600 0.000 0.400
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.989 0.000 1.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.989 0.000 1.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.989 0.000 1.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.989 0.000 1.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.989 0.000 1.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.986 0.000 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.995 1.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.995 1.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.986 0.000 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.989 0.000 1.000 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.989 0.000 1.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.995 1.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.0000 0.986 0.000 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.986 0.000 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.995 1.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.995 1.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.995 1.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.989 0.000 1.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.986 0.000 0.000 1.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.989 0.000 1.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.995 1.000 0.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.986 0.000 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.989 0.000 1.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.989 0.000 1.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.989 0.000 1.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.995 1.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.989 0.000 1.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.989 0.000 1.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.989 0.000 1.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.986 0.000 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.995 1.000 0.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.995 1.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.995 1.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.0000 0.986 0.000 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.995 1.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.989 0.000 1.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.986 0.000 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.995 1.000 0.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.995 1.000 0.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.989 0.000 1.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.1411 0.959 0.964 0.000 0.036
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.995 1.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.989 0.000 1.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.986 0.000 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.986 0.000 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 3 0.0000 0.986 0.000 0.000 1.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.995 1.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.1860 0.936 0.000 0.948 0.052
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.995 1.000 0.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.995 1.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.989 0.000 1.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 3 0.0000 0.986 0.000 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.995 1.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.986 0.000 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.989 0.000 1.000 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 3 0.6111 0.348 0.000 0.396 0.604
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.995 1.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.0000 0.995 1.000 0.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.0000 0.986 0.000 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.995 1.000 0.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.995 1.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.995 1.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.0000 0.995 1.000 0.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 3 0.0000 0.986 0.000 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.995 1.000 0.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.989 0.000 1.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.995 1.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0000 0.986 0.000 0.000 1.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.995 1.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.989 0.000 1.000 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.995 1.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.4346 0.772 0.816 0.184 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 2 0.0000 0.989 0.000 1.000 0.000
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.0000 0.995 1.000 0.000 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.986 0.000 0.000 1.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.995 1.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.989 0.000 1.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.995 1.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.995 1.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.986 0.000 0.000 1.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.995 1.000 0.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 3 0.0000 0.986 0.000 0.000 1.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.989 0.000 1.000 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.995 1.000 0.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.995 1.000 0.000 0.000
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#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.995 1.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.995 1.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.995 1.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.4555 0.750 0.800 0.000 0.200
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.995 1.000 0.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.986 0.000 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.989 0.000 1.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.989 0.000 1.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0000 0.995 1.000 0.000 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.995 1.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.0000 0.986 0.000 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.986 0.000 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.989 0.000 1.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.995 1.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.995 1.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.995 1.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.0000 0.986 0.000 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.986 0.000 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.986 0.000 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.0000 0.989 0.000 1.000 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.995 1.000 0.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 3 0.0000 0.986 0.000 0.000 1.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.0000 0.986 0.000 0.000 1.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.989 0.000 1.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.995 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.995 1.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.0000 0.986 0.000 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.995 1.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.995 1.000 0.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.995 1.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.995 1.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.995 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.995 1.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.995 1.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.995 1.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.995 1.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.995 1.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.995 1.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.989 0.000 1.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.0000 0.986 0.000 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.995 1.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.989 0.000 1.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.989 0.000 1.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.995 1.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.995 1.000 0.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.0000 0.986 0.000 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.986 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.0000 0.8896 0.000 0.000 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 3 0.6781 0.4459 0.256 0.000 0.596 0.148
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.6233 0.2630 0.000 0.552 0.060 0.388
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.8896 0.000 0.000 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 0.8896 0.000 0.000 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0817 0.8662 0.976 0.000 0.024 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 3 0.4567 0.0895 0.276 0.000 0.716 0.008
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 3 0.4522 0.8775 0.000 0.000 0.680 0.320
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.4804 0.7325 0.000 0.780 0.072 0.148
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0000 0.8896 0.000 0.000 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 4 0.4685 0.6534 0.000 0.156 0.060 0.784
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0000 0.8896 0.000 0.000 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.3649 0.8356 0.796 0.000 0.204 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0000 0.8896 0.000 0.000 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.6632 0.7280 0.608 0.064 0.308 0.020
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 4 0.7508 0.4398 0.000 0.232 0.272 0.496
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.1637 0.8626 0.940 0.000 0.060 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.0000 0.8896 0.000 0.000 0.000 1.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.0000 0.8896 0.000 0.000 0.000 1.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.0000 0.8896 0.000 0.000 0.000 1.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.4193 0.8202 0.732 0.000 0.268 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.5292 0.6492 0.000 0.728 0.064 0.208
#> E3671E10-825D-499B-B949-D5033855C744 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.1940 0.8599 0.924 0.000 0.076 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 4 0.2329 0.7889 0.000 0.012 0.072 0.916
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.2345 0.8740 0.000 0.900 0.000 0.100
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.4454 0.8089 0.692 0.000 0.308 0.000
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#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.3266 0.8447 0.832 0.000 0.168 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.5988 0.4825 0.676 0.000 0.224 0.100
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.0000 0.8896 0.000 0.000 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.8896 0.000 0.000 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.4454 0.9436 0.000 0.000 0.692 0.308
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 3 0.1474 0.4163 0.000 0.000 0.948 0.052
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.4697 0.8815 0.000 0.000 0.644 0.356
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.8896 0.000 0.000 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.3356 0.8398 0.824 0.000 0.176 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.8697 1.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.8896 0.000 0.000 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.9726 0.000 1.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.4454 0.8089 0.692 0.000 0.308 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.8896 0.000 0.000 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.4454 0.9436 0.000 0.000 0.692 0.308
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.0609 0.9411 0.000 0.000 0.020 0.980 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 3 0.3196 0.7114 0.192 0.000 0.804 0.000 0.004
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.1725 0.9395 0.000 0.936 0.000 0.020 0.044
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.1725 0.9395 0.000 0.936 0.000 0.020 0.044
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.1725 0.9395 0.000 0.936 0.000 0.020 0.044
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0510 0.9399 0.984 0.000 0.000 0.000 0.016
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.6122 0.2417 0.000 0.512 0.000 0.348 0.140
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.1725 0.9395 0.000 0.936 0.000 0.020 0.044
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0609 0.9411 0.000 0.000 0.020 0.980 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0404 0.9816 0.000 0.000 0.988 0.000 0.012
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.1725 0.9395 0.000 0.936 0.000 0.020 0.044
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0162 0.9655 0.000 0.996 0.000 0.000 0.004
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0609 0.9802 0.000 0.000 0.980 0.000 0.020
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.1197 0.9225 0.048 0.000 0.000 0.000 0.952
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0609 0.9411 0.000 0.000 0.020 0.980 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.2127 0.8386 0.892 0.000 0.000 0.000 0.108
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.1197 0.9225 0.048 0.000 0.000 0.000 0.952
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 5 0.3401 0.8238 0.068 0.000 0.072 0.008 0.852
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0609 0.9802 0.000 0.000 0.980 0.000 0.020
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 3 0.1012 0.9725 0.000 0.000 0.968 0.012 0.020
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.5887 0.6088 0.000 0.664 0.088 0.204 0.044
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.1725 0.9395 0.000 0.936 0.000 0.020 0.044
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0609 0.9411 0.000 0.000 0.020 0.980 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0609 0.9802 0.000 0.000 0.980 0.000 0.020
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 4 0.3918 0.7768 0.000 0.096 0.000 0.804 0.100
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 5 0.1197 0.9225 0.048 0.000 0.000 0.000 0.952
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0609 0.9411 0.000 0.000 0.020 0.980 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 5 0.3508 0.7244 0.252 0.000 0.000 0.000 0.748
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 5 0.0955 0.8996 0.028 0.000 0.000 0.004 0.968
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0609 0.9411 0.000 0.000 0.020 0.980 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0609 0.9802 0.000 0.000 0.980 0.000 0.020
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.1300 0.9496 0.000 0.956 0.000 0.016 0.028
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 5 0.1124 0.9106 0.036 0.004 0.000 0.000 0.960
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 4 0.5649 0.5261 0.000 0.108 0.000 0.596 0.296
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 5 0.1197 0.9225 0.048 0.000 0.000 0.000 0.952
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.3003 0.7230 0.812 0.000 0.000 0.000 0.188
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.0609 0.9411 0.000 0.000 0.020 0.980 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0451 0.9634 0.000 0.988 0.000 0.004 0.008
#> 8AA6D751-D111-42EE-B874-D82769F4A888 5 0.1544 0.9323 0.068 0.000 0.000 0.000 0.932
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.0609 0.9411 0.000 0.000 0.020 0.980 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.0609 0.9411 0.000 0.000 0.020 0.980 0.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 5 0.2690 0.8495 0.156 0.000 0.000 0.000 0.844
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.3692 0.8148 0.000 0.812 0.000 0.052 0.136
#> E3671E10-825D-499B-B949-D5033855C744 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000
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#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.1725 0.9395 0.000 0.936 0.000 0.020 0.044
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 5 0.3913 0.5946 0.324 0.000 0.000 0.000 0.676
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.0609 0.9411 0.000 0.000 0.020 0.980 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.4307 -0.1058 0.500 0.000 0.000 0.000 0.500
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.0609 0.9411 0.000 0.000 0.020 0.980 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.3844 0.7873 0.000 0.792 0.000 0.164 0.044
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0671 0.9603 0.000 0.980 0.000 0.016 0.004
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.1608 0.8816 0.928 0.000 0.000 0.000 0.072
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 3 0.2843 0.8806 0.000 0.000 0.876 0.048 0.076
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.1725 0.9395 0.000 0.936 0.000 0.020 0.044
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0609 0.9411 0.000 0.000 0.020 0.980 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.0404 0.9413 0.988 0.000 0.000 0.000 0.012
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.3876 0.4706 0.684 0.000 0.000 0.000 0.316
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 5 0.3913 0.6093 0.324 0.000 0.000 0.000 0.676
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.4015 0.4503 0.652 0.000 0.348 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.1410 0.9324 0.060 0.000 0.000 0.000 0.940
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0609 0.9802 0.000 0.000 0.980 0.000 0.020
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.1725 0.9395 0.000 0.936 0.000 0.020 0.044
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.0609 0.8923 0.020 0.000 0.000 0.000 0.980
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.0609 0.9411 0.000 0.000 0.020 0.980 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0609 0.9802 0.000 0.000 0.980 0.000 0.020
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0162 0.9511 0.996 0.000 0.000 0.000 0.004
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0609 0.9411 0.000 0.000 0.020 0.980 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.9829 0.000 0.000 1.000 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.1341 0.9293 0.056 0.000 0.000 0.000 0.944
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.3246 0.7121 0.000 0.000 0.184 0.008 0.808
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.1943 0.9309 0.000 0.000 0.924 0.056 0.020
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.1399 0.9478 0.000 0.952 0.000 0.020 0.028
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0609 0.9411 0.000 0.000 0.020 0.980 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 5 0.4291 0.2424 0.464 0.000 0.000 0.000 0.536
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9547 1.000 0.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0609 0.9411 0.000 0.000 0.020 0.980 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.9678 0.000 1.000 0.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.1478 0.9351 0.064 0.000 0.000 0.000 0.936
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.1270 0.9260 0.052 0.000 0.000 0.000 0.948
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0609 0.9411 0.000 0.000 0.020 0.980 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0609 0.9802 0.000 0.000 0.980 0.000 0.020
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0000 0.96312 0.000 0.000 1.000 0.000 0.000 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0146 0.94284 0.996 0.000 0.000 0.000 0.000 0.004
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.0260 0.98351 0.000 0.000 0.008 0.992 0.000 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0146 0.94269 0.996 0.000 0.000 0.000 0.004 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 3 0.4107 0.70319 0.156 0.000 0.768 0.000 0.024 0.052
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.96507 0.000 1.000 0.000 0.000 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.96507 0.000 1.000 0.000 0.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 6 0.3023 0.90004 0.000 0.232 0.000 0.000 0.000 0.768
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 6 0.2996 0.90180 0.000 0.228 0.000 0.000 0.000 0.772
#> 6F178361-2A14-4245-8A35-13A0174231E4 6 0.2631 0.89030 0.000 0.180 0.000 0.000 0.000 0.820
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.96312 0.000 0.000 1.000 0.000 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 5 0.1327 0.88707 0.000 0.000 0.000 0.000 0.936 0.064
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.2147 0.86991 0.896 0.000 0.000 0.000 0.084 0.020
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.96312 0.000 0.000 1.000 0.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 6 0.3591 0.83175 0.000 0.104 0.000 0.064 0.016 0.816
#> 19342512-D282-4C35-B9A9-3A1180D594F4 6 0.3023 0.90070 0.000 0.232 0.000 0.000 0.000 0.768
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 5 0.1327 0.88707 0.000 0.000 0.000 0.000 0.936 0.064
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0260 0.98351 0.000 0.000 0.008 0.992 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.1141 0.95726 0.000 0.000 0.948 0.000 0.000 0.052
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0405 0.94247 0.988 0.000 0.000 0.004 0.000 0.008
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0508 0.94038 0.984 0.000 0.000 0.000 0.004 0.012
#> BA285E50-200E-4B98-9F8B-904AD679CD45 5 0.1327 0.88707 0.000 0.000 0.000 0.000 0.936 0.064
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 6 0.2996 0.90180 0.000 0.228 0.000 0.000 0.000 0.772
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.96312 0.000 0.000 1.000 0.000 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.1285 0.90042 0.000 0.944 0.000 0.004 0.000 0.052
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0146 0.94269 0.996 0.000 0.000 0.000 0.004 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.1387 0.95442 0.000 0.000 0.932 0.000 0.000 0.068
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.96507 0.000 1.000 0.000 0.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.96507 0.000 1.000 0.000 0.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.96507 0.000 1.000 0.000 0.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0146 0.94269 0.996 0.000 0.000 0.000 0.004 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.96507 0.000 1.000 0.000 0.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.96507 0.000 1.000 0.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.96507 0.000 1.000 0.000 0.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.96312 0.000 0.000 1.000 0.000 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.1610 0.88301 0.000 0.000 0.000 0.000 0.916 0.084
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 5 0.1296 0.88158 0.004 0.000 0.000 0.004 0.948 0.044
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.1082 0.92923 0.956 0.000 0.000 0.004 0.000 0.040
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0260 0.98351 0.000 0.000 0.008 0.992 0.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 5 0.1327 0.88707 0.000 0.000 0.000 0.000 0.936 0.064
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.96507 0.000 1.000 0.000 0.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.96312 0.000 0.000 1.000 0.000 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.3791 0.73825 0.768 0.000 0.000 0.004 0.180 0.048
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.0260 0.89021 0.000 0.000 0.000 0.000 0.992 0.008
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.96507 0.000 1.000 0.000 0.000 0.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 5 0.4124 0.78248 0.032 0.000 0.024 0.004 0.760 0.180
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0405 0.94247 0.988 0.000 0.000 0.004 0.000 0.008
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.96507 0.000 1.000 0.000 0.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.96312 0.000 0.000 1.000 0.000 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.1387 0.95442 0.000 0.000 0.932 0.000 0.000 0.068
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 3 0.3321 0.84683 0.000 0.000 0.796 0.008 0.016 0.180
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0291 0.94256 0.992 0.000 0.000 0.004 0.000 0.004
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 6 0.4347 0.84195 0.000 0.120 0.064 0.048 0.000 0.768
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.0713 0.88683 0.000 0.000 0.000 0.000 0.972 0.028
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0146 0.94269 0.996 0.000 0.000 0.000 0.004 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 6 0.3023 0.90070 0.000 0.232 0.000 0.000 0.000 0.768
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0260 0.98351 0.000 0.000 0.008 0.992 0.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0291 0.94251 0.992 0.000 0.000 0.000 0.004 0.004
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.1387 0.95442 0.000 0.000 0.932 0.000 0.000 0.068
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.1285 0.90042 0.000 0.944 0.000 0.004 0.000 0.052
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 6 0.3121 0.70170 0.000 0.020 0.000 0.148 0.008 0.824
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0146 0.94284 0.996 0.000 0.000 0.000 0.000 0.004
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 5 0.0937 0.88396 0.000 0.000 0.000 0.000 0.960 0.040
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#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 5 0.1204 0.88852 0.000 0.000 0.000 0.000 0.944 0.056
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#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 5 0.4281 0.67513 0.228 0.000 0.000 0.000 0.704 0.068
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.5294 0.35555 0.564 0.000 0.352 0.004 0.012 0.068
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.0937 0.88396 0.000 0.000 0.000 0.000 0.960 0.040
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.1387 0.95442 0.000 0.000 0.932 0.000 0.000 0.068
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 6 0.2969 0.90215 0.000 0.224 0.000 0.000 0.000 0.776
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#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0405 0.94247 0.988 0.000 0.000 0.004 0.000 0.008
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#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.1387 0.95442 0.000 0.000 0.932 0.000 0.000 0.068
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.96507 0.000 1.000 0.000 0.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.2631 0.86548 0.876 0.000 0.000 0.004 0.076 0.044
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.0146 0.89031 0.000 0.000 0.000 0.000 0.996 0.004
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.0865 0.89068 0.000 0.000 0.000 0.000 0.964 0.036
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0260 0.98351 0.000 0.000 0.008 0.992 0.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.96312 0.000 0.000 1.000 0.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.96312 0.000 0.000 1.000 0.000 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.0713 0.93822 0.000 0.972 0.000 0.000 0.000 0.028
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.1007 0.88292 0.000 0.000 0.000 0.000 0.956 0.044
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.4674 0.69831 0.000 0.000 0.120 0.004 0.696 0.180
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.3767 0.82923 0.000 0.000 0.780 0.088 0.000 0.132
#> BE787416-396B-48B4-A5D2-8E2EE082D001 6 0.3050 0.89747 0.000 0.236 0.000 0.000 0.000 0.764
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0291 0.94256 0.992 0.000 0.000 0.004 0.000 0.004
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.1327 0.88707 0.000 0.000 0.000 0.000 0.936 0.064
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0260 0.98351 0.000 0.000 0.008 0.992 0.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0291 0.94251 0.992 0.000 0.000 0.000 0.004 0.004
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.0632 0.88767 0.000 0.000 0.000 0.000 0.976 0.024
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0146 0.94269 0.996 0.000 0.000 0.000 0.004 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 5 0.1082 0.88342 0.004 0.000 0.000 0.000 0.956 0.040
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0146 0.94269 0.996 0.000 0.000 0.000 0.004 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0146 0.94269 0.996 0.000 0.000 0.000 0.004 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 5 0.5064 0.35914 0.372 0.000 0.000 0.004 0.552 0.072
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0291 0.94251 0.992 0.000 0.000 0.000 0.004 0.004
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.0632 0.88767 0.000 0.000 0.000 0.000 0.976 0.024
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.1155 0.88459 0.004 0.000 0.000 0.004 0.956 0.036
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.94281 1.000 0.000 0.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.96507 0.000 1.000 0.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0260 0.98351 0.000 0.000 0.008 0.992 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.1333 0.88017 0.008 0.000 0.000 0.000 0.944 0.048
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.96507 0.000 1.000 0.000 0.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.96507 0.000 1.000 0.000 0.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.1327 0.88707 0.000 0.000 0.000 0.000 0.936 0.064
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.0000 0.89068 0.000 0.000 0.000 0.000 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0260 0.98351 0.000 0.000 0.008 0.992 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.1387 0.95442 0.000 0.000 0.932 0.000 0.000 0.068
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 4.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.388 0.798 0.834 0.4104 0.501 0.501
#> 3 3 0.839 0.850 0.941 0.4456 0.831 0.682
#> 4 4 0.966 0.940 0.978 0.0806 0.946 0.865
#> 5 5 0.961 0.919 0.959 0.0248 0.988 0.966
#> 6 6 0.753 0.619 0.784 0.1569 0.861 0.604
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 4
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.9710 0.3652 0.600 0.400
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9554 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.6048 0.6897 0.148 0.852
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9554 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0672 0.9442 0.992 0.008
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.9044 0.8131 0.320 0.680
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.9044 0.8131 0.320 0.680
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.9044 0.8131 0.320 0.680
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.9044 0.8131 0.320 0.680
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.9044 0.8131 0.320 0.680
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.5519 0.5637 0.128 0.872
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9554 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9554 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.9635 0.2043 0.388 0.612
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.9608 0.7598 0.384 0.616
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.9044 0.8131 0.320 0.680
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9554 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.9580 0.7599 0.380 0.620
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 2 0.9896 0.0205 0.440 0.560
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9554 1.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9554 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9554 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.9044 0.8131 0.320 0.680
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.9044 0.4673 0.680 0.320
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.9044 0.8131 0.320 0.680
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.9554 1.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.1184 0.5881 0.016 0.984
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.9044 0.8131 0.320 0.680
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.9044 0.8131 0.320 0.680
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.9044 0.8131 0.320 0.680
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9554 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.9044 0.8131 0.320 0.680
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.9044 0.8131 0.320 0.680
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.9044 0.8131 0.320 0.680
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.6343 0.5421 0.160 0.840
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.9554 1.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.9554 1.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.9554 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.9661 0.7507 0.392 0.608
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.9554 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.9044 0.8131 0.320 0.680
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.9661 0.1950 0.392 0.608
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.9554 1.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0376 0.9498 0.996 0.004
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.9044 0.8131 0.320 0.680
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.9554 1.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9554 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.9044 0.8131 0.320 0.680
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.5178 0.5621 0.116 0.884
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.1184 0.5881 0.016 0.984
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.9554 1.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9554 1.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.9850 0.7008 0.428 0.572
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.9554 1.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.9554 1.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.9044 0.8131 0.320 0.680
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.8386 0.7545 0.268 0.732
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9554 1.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 2 0.9635 0.1947 0.388 0.612
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.9044 0.8131 0.320 0.680
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 1 0.9977 -0.4776 0.528 0.472
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.9554 1.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.5294 0.7374 0.880 0.120
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.9044 0.7228 0.320 0.680
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.9554 1.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.9554 1.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.9554 1.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.8661 0.2186 0.712 0.288
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.9732 0.7354 0.404 0.596
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0938 0.9382 0.988 0.012
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.9044 0.8131 0.320 0.680
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.9554 1.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 2 0.9933 -0.0179 0.452 0.548
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.9554 1.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.9044 0.8131 0.320 0.680
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.9554 1.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.0000 0.9554 1.000 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 2 0.9732 0.7373 0.404 0.596
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.0376 0.9498 0.996 0.004
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 2 0.5178 0.5695 0.116 0.884
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.9554 1.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.9044 0.8131 0.320 0.680
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.9554 1.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.9554 1.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 2 0.9635 0.2024 0.388 0.612
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.9554 1.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 2 0.9393 0.7623 0.356 0.644
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.9044 0.8131 0.320 0.680
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.9554 1.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.9554 1.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.9554 1.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.9554 1.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.9661 0.7507 0.392 0.608
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.9732 0.7300 0.404 0.596
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.9554 1.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.9087 0.8108 0.324 0.676
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.9554 1.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.9554 1.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.9044 0.8131 0.320 0.680
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 1 0.9977 0.1936 0.528 0.472
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.9554 1.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.9554 1.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.9044 0.8131 0.320 0.680
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.9554 1.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 2 0.5519 0.5637 0.128 0.872
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.9554 1.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.9044 0.8131 0.320 0.680
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.9044 0.8131 0.320 0.680
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.9170 0.8058 0.332 0.668
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 1 0.1184 0.9327 0.984 0.016
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.9044 0.8131 0.320 0.680
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.0000 0.9554 1.000 0.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.9044 0.8131 0.320 0.680
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.0000 0.9554 1.000 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.9554 1.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.9044 0.8131 0.320 0.680
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.9554 1.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.9732 0.7377 0.404 0.596
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.0000 0.9554 1.000 0.000
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.9248 0.7997 0.340 0.660
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 2 0.8955 0.3260 0.312 0.688
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.0000 0.9554 1.000 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0000 0.9554 1.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.9554 1.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 2 0.9686 0.7467 0.396 0.604
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.9044 0.8131 0.320 0.680
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 2 0.9661 0.1950 0.392 0.608
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.9554 1.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.9044 0.8131 0.320 0.680
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.9554 1.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 2 0.1414 0.5874 0.020 0.980
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 2 0.6343 0.6401 0.160 0.840
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.9044 0.8131 0.320 0.680
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.9044 0.8131 0.320 0.680
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.0000 0.9554 1.000 0.000
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 2 0.9661 0.1950 0.392 0.608
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 1 0.0000 0.9554 1.000 0.000
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.9044 0.8131 0.320 0.680
#> 4C15BE7F-B855-4670-9E38-0A626527D981 2 0.9661 0.1950 0.392 0.608
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.9044 0.8131 0.320 0.680
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#> 01828596-79CA-4CF0-B178-9D4E134FC80B 2 0.9661 0.1950 0.392 0.608
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#> ABA45E0B-764A-4BCF-8D86-126A44203E53 1 0.8661 0.2186 0.712 0.288
#> B9009D40-10AC-48B3-9495-865BCE904CB1 2 0.9661 0.1950 0.392 0.608
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.9661 0.7507 0.392 0.608
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.9554 1.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.9554 1.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.9554 1.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.9554 1.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.9554 1.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 2 0.8813 0.7464 0.300 0.700
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#> ACE0493F-E7CD-47FB-91E1-25393C512001 1 0.0000 0.9554 1.000 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.9554 1.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.9044 0.8131 0.320 0.680
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.9554 1.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.9552 0.7679 0.376 0.624
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 2 0.9129 0.2972 0.328 0.672
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.9044 0.8131 0.320 0.680
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.9044 0.8131 0.320 0.680
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.9044 0.8131 0.320 0.680
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.9554 1.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 2 0.9661 0.1950 0.392 0.608
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9554 1.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.9554 1.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.9554 1.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9554 1.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.9044 0.8131 0.320 0.680
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.9044 0.8131 0.320 0.680
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.9661 0.7491 0.392 0.608
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.8608 0.2341 0.716 0.284
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.9044 0.8131 0.320 0.680
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.9554 1.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9554 1.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.9044 0.8131 0.320 0.680
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.9044 0.8131 0.320 0.680
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.9044 0.8131 0.320 0.680
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.9044 0.8131 0.320 0.680
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.9554 1.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9554 1.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.9554 1.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9554 1.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.9554 1.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9554 1.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.9554 1.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.2948 0.5862 0.052 0.948
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.9608 0.7599 0.384 0.616
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.9044 0.8131 0.320 0.680
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0000 0.9554 1.000 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9554 1.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.9608 0.7597 0.384 0.616
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 1 0.9170 0.4536 0.668 0.332
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.9044 0.8131 0.320 0.680
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.9554 1.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.9554 1.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.9554 1.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.9044 0.7466 0.320 0.680
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 2 0.9635 0.2027 0.388 0.612
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 2 0.9661 0.1950 0.392 0.608
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.9087 0.8109 0.324 0.676
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.9554 1.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.9554 1.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.0000 0.9554 1.000 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.9044 0.8131 0.320 0.680
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9554 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.9554 1.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.9686 0.7467 0.396 0.604
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.9554 1.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.9554 1.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9554 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.9554 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9554 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9554 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9554 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9554 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.9554 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.9554 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9554 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.9044 0.8131 0.320 0.680
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.9661 0.7507 0.392 0.608
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.9554 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.9044 0.8131 0.320 0.680
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.9044 0.8131 0.320 0.680
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.9554 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.9554 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.9491 0.7473 0.368 0.632
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.9393 0.2683 0.356 0.644
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.6337 0.6421 0.220 0.044 0.736
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9599 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.7983 0.5553 0.124 0.228 0.648
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9599 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0424 0.9520 0.992 0.000 0.008
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.8950 0.000 1.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.8950 0.000 1.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.8950 0.000 1.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.8950 0.000 1.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.8950 0.000 1.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.8888 0.000 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9599 1.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9599 1.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.8888 0.000 0.000 1.000
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#> 10E55344-362E-4982-B9EF-BE428086D27E 3 0.0000 0.8888 0.000 0.000 1.000
#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 2 0.0000 0.8950 0.000 1.000 0.000
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.0000 0.9599 1.000 0.000 0.000
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 1 0.5733 0.4744 0.676 0.324 0.000
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.0000 0.9599 1.000 0.000 0.000
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.0000 0.8950 0.000 1.000 0.000
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 3 0.8535 0.4592 0.332 0.112 0.556
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.0000 0.9599 1.000 0.000 0.000
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 3 0.0000 0.8888 0.000 0.000 1.000
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 3 0.7525 0.6166 0.208 0.108 0.684
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 3 0.0000 0.8888 0.000 0.000 1.000
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.0000 0.8950 0.000 1.000 0.000
#> 347C4168-42C5-494B-8080-2C244F6201FF 1 0.0000 0.9599 1.000 0.000 0.000
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0000 0.8950 0.000 1.000 0.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 3 0.0000 0.8888 0.000 0.000 1.000
#> 59363737-247E-4524-B7CD-F43B2C861027 3 0.9743 0.3045 0.312 0.248 0.440
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 1 0.5404 0.5994 0.740 0.004 0.256
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0000 0.9599 1.000 0.000 0.000
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 1 0.9853 -0.1628 0.388 0.360 0.252
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.6062 0.4553 0.384 0.616 0.000
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 3 0.9358 0.4049 0.240 0.244 0.516
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0000 0.8950 0.000 1.000 0.000
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 3 0.9272 0.4210 0.232 0.240 0.528
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.9599 1.000 0.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.1031 0.9369 0.976 0.000 0.024
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.9599 1.000 0.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.9599 1.000 0.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.8950 0.000 1.000 0.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.9599 1.000 0.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.9599 1.000 0.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.9599 1.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.9599 1.000 0.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.9599 1.000 0.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.9599 1.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.8950 0.000 1.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.8950 0.000 1.000 0.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0000 0.8888 0.000 0.000 1.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.8950 0.000 1.000 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.0000 0.8888 0.000 0.000 1.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.9599 1.000 0.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.8950 0.000 1.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.9599 1.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.0000 0.8888 0.000 0.000 1.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.9599 1.000 0.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.9599 1.000 0.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.4178 0.7242 0.172 0.828 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 1 0.0592 0.9480 0.988 0.012 0.000
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0000 0.8888 0.000 0.000 1.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.6079 0.4459 0.388 0.612 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.9599 1.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.9599 1.000 0.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.9599 1.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.9599 1.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.9599 1.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 3 0.9358 0.4049 0.240 0.244 0.516
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.9599 1.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 1 0.5926 0.3940 0.644 0.000 0.356
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.9599 1.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.8950 0.000 1.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.9599 1.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.6008 0.4789 0.372 0.628 0.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.8888 0.000 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.8950 0.000 1.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.8950 0.000 1.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.8950 0.000 1.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.9599 1.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.8888 0.000 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9599 1.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.9599 1.000 0.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.9599 1.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9599 1.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.8950 0.000 1.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.8950 0.000 1.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 1 0.9842 -0.2438 0.384 0.248 0.368
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.0424 0.9517 0.992 0.008 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.8950 0.000 1.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.9599 1.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9599 1.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.8950 0.000 1.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.8950 0.000 1.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.8950 0.000 1.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.8950 0.000 1.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.9599 1.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9599 1.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.9599 1.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9599 1.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.9599 1.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9599 1.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.9599 1.000 0.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.8888 0.000 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.6045 0.4638 0.380 0.620 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.8950 0.000 1.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0000 0.9599 1.000 0.000 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9599 1.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 1 0.9956 -0.1996 0.380 0.312 0.308
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.8888 0.000 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.8950 0.000 1.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.9599 1.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.9599 1.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.9599 1.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.9484 0.3817 0.264 0.240 0.496
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.8888 0.000 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.8888 0.000 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.2096 0.8455 0.052 0.944 0.004
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.9599 1.000 0.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.9599 1.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.0000 0.9599 1.000 0.000 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.8950 0.000 1.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9599 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.9599 1.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 1 0.9940 -0.1822 0.388 0.308 0.304
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.9599 1.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.9599 1.000 0.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9599 1.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.9599 1.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9599 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9599 1.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9599 1.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9599 1.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.9599 1.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.9599 1.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9599 1.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.8950 0.000 1.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.6298 0.4427 0.388 0.608 0.004
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.9599 1.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.8950 0.000 1.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.8950 0.000 1.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.9599 1.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.9599 1.000 0.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.9664 0.3201 0.332 0.224 0.444
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.8888 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.1302 0.940 0.000 0.044 0.956 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.4457 0.768 0.108 0.004 0.072 0.816
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0592 0.975 0.984 0.000 0.016 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.999 0.000 0.000 1.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.999 0.000 0.000 1.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.4888 0.394 0.412 0.588 0.000 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.973 0.000 0.000 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.999 0.000 0.000 1.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.999 0.000 0.000 1.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.999 0.000 0.000 1.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.999 0.000 0.000 1.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 0.973 0.000 0.000 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.999 0.000 0.000 1.000 0.000
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#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 3 0.0000 0.999 0.000 0.000 1.000 0.000
#> 59363737-247E-4524-B7CD-F43B2C861027 4 0.0000 0.973 0.000 0.000 0.000 1.000
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 4 0.0000 0.973 0.000 0.000 0.000 1.000
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 4 0.0000 0.973 0.000 0.000 0.000 1.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.4933 0.343 0.432 0.568 0.000 0.000
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 4 0.0000 0.973 0.000 0.000 0.000 1.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 4 0.1389 0.904 0.048 0.000 0.000 0.952
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.3569 0.750 0.804 0.000 0.196 0.000
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0000 0.999 0.000 0.000 1.000 0.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.0000 0.999 0.000 0.000 1.000 0.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.0000 0.999 0.000 0.000 1.000 0.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.3356 0.721 0.176 0.824 0.000 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 1 0.0336 0.983 0.992 0.008 0.000 0.000
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0000 0.999 0.000 0.000 1.000 0.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.4776 0.455 0.376 0.624 0.000 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.0000 0.973 0.000 0.000 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.0000 0.973 0.000 0.000 0.000 1.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.4746 0.466 0.368 0.632 0.000 0.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.999 0.000 0.000 1.000 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.999 0.000 0.000 1.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0000 0.973 0.000 0.000 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.999 0.000 0.000 1.000 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.4746 0.466 0.368 0.632 0.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.6310 0.415 0.352 0.072 0.000 0.576
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.999 0.000 0.000 1.000 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.973 0.000 0.000 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.999 0.000 0.000 1.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.999 0.000 0.000 1.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.1389 0.864 0.048 0.952 0.000 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.973 0.000 0.000 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.973 0.000 0.000 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.912 0.000 1.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.992 1.000 0.000 0.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.973 0.000 0.000 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.999 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0579 0.9647 0.008 0.008 0.984 0.000 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.4769 0.6377 0.108 0.000 0.008 0.748 0.136
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0290 0.9686 0.992 0.000 0.000 0.000 0.008
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.3579 0.6648 0.756 0.000 0.240 0.000 0.004
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.9881 0.000 0.000 1.000 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0290 0.9690 0.992 0.000 0.000 0.000 0.008
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.9881 0.000 0.000 1.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.4210 0.3727 0.412 0.588 0.000 0.000 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.9646 0.000 0.000 0.000 1.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 5 0.2074 0.9467 0.000 0.000 0.104 0.000 0.896
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0290 0.9686 0.992 0.000 0.000 0.000 0.008
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.9881 0.000 0.000 1.000 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0609 0.9687 0.980 0.000 0.000 0.000 0.020
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 5 0.1410 0.9859 0.000 0.000 0.060 0.000 0.940
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.9881 0.000 0.000 1.000 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0794 0.9672 0.972 0.000 0.000 0.000 0.028
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 0.9646 0.000 0.000 0.000 1.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.9881 0.000 0.000 1.000 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0290 0.9686 0.992 0.000 0.000 0.000 0.008
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
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#> E0353276-F075-43F3-BB95-3AA315D40505 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 580F828B-2333-48F7-BA05-E9B6EF1AA3D5 1 0.0290 0.9690 0.992 0.000 0.000 0.000 0.008
#> C051D793-4538-4D76-BFC2-0C08EAA57371 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> 50893EF9-5D78-4731-B614-8E7F4AC5FA5F 1 0.0290 0.9684 0.992 0.000 0.000 0.000 0.008
#> F235BBBB-4364-4BEE-88C8-9075208D1B96 3 0.0000 0.9881 0.000 0.000 1.000 0.000 0.000
#> 73A25F6E-99C8-4C55-9E6C-8457BE8E44C0 2 0.3707 0.5679 0.284 0.716 0.000 0.000 0.000
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#> B8E40A95-9DF7-4EEE-B7D9-D17FA6B8AB2C 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> 766E5BEF-D5FC-4C60-831C-88667F858375 2 0.2561 0.7484 0.144 0.856 0.000 0.000 0.000
#> 31110A59-6DD4-4EDD-A056-C45DBC8966CC 1 0.0290 0.9684 0.992 0.000 0.000 0.000 0.008
#> 0816836B-3F01-45BC-A843-00867E98FAD7 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 708F24EB-4551-4A3F-8E59-FA76ABE305D7 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> 6EF22E72-6FCD-4645-8E8A-F6F117387082 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> 680DFFFE-43F3-4A48-A662-FFE89FB43B04 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> 4BB7CD09-ECE2-4774-B82C-949B6558C4D2 2 0.3266 0.6761 0.200 0.796 0.000 0.000 0.004
#> 10E55344-362E-4982-B9EF-BE428086D27E 5 0.1410 0.9859 0.000 0.000 0.060 0.000 0.940
#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 1 0.5218 0.4802 0.624 0.308 0.000 0.000 0.068
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 4 0.0000 0.9646 0.000 0.000 0.000 1.000 0.000
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 5 0.2813 0.8735 0.000 0.000 0.168 0.000 0.832
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 4 0.0000 0.9646 0.000 0.000 0.000 1.000 0.000
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 3 0.4182 0.2333 0.000 0.000 0.600 0.000 0.400
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 347C4168-42C5-494B-8080-2C244F6201FF 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 5 0.1410 0.9859 0.000 0.000 0.060 0.000 0.940
#> 59363737-247E-4524-B7CD-F43B2C861027 4 0.0000 0.9646 0.000 0.000 0.000 1.000 0.000
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 4 0.0000 0.9646 0.000 0.000 0.000 1.000 0.000
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.1197 0.9626 0.952 0.000 0.000 0.000 0.048
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 4 0.0000 0.9646 0.000 0.000 0.000 1.000 0.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.4256 0.3107 0.436 0.564 0.000 0.000 0.000
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 4 0.0000 0.9646 0.000 0.000 0.000 1.000 0.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 4 0.1121 0.8840 0.044 0.000 0.000 0.956 0.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.1579 0.9562 0.944 0.000 0.032 0.000 0.024
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0162 0.9682 0.996 0.000 0.000 0.000 0.004
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.1121 0.9653 0.956 0.000 0.000 0.000 0.044
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0000 0.9881 0.000 0.000 1.000 0.000 0.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 5 0.1410 0.9859 0.000 0.000 0.060 0.000 0.940
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0290 0.9684 0.992 0.000 0.000 0.000 0.008
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.0000 0.9881 0.000 0.000 1.000 0.000 0.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.2891 0.7096 0.176 0.824 0.000 0.000 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 1 0.1430 0.9601 0.944 0.004 0.000 0.000 0.052
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0000 0.9881 0.000 0.000 1.000 0.000 0.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.4264 0.4331 0.376 0.620 0.000 0.000 0.004
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0404 0.9680 0.988 0.000 0.000 0.000 0.012
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.1270 0.9630 0.948 0.000 0.000 0.000 0.052
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0290 0.9684 0.992 0.000 0.000 0.000 0.008
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0290 0.9686 0.992 0.000 0.000 0.000 0.008
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.0000 0.9646 0.000 0.000 0.000 1.000 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0703 0.9677 0.976 0.000 0.000 0.000 0.024
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.0000 0.9646 0.000 0.000 0.000 1.000 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0404 0.9680 0.988 0.000 0.000 0.000 0.012
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.4238 0.4445 0.368 0.628 0.000 0.000 0.004
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.9881 0.000 0.000 1.000 0.000 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.9881 0.000 0.000 1.000 0.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0794 0.9667 0.972 0.000 0.000 0.000 0.028
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0290 0.9684 0.992 0.000 0.000 0.000 0.008
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0794 0.9672 0.972 0.000 0.000 0.000 0.028
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0000 0.9646 0.000 0.000 0.000 1.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.0609 0.9690 0.980 0.000 0.000 0.000 0.020
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0794 0.9683 0.972 0.000 0.000 0.000 0.028
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0510 0.9690 0.984 0.000 0.000 0.000 0.016
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0162 0.9681 0.996 0.000 0.000 0.000 0.004
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0404 0.9690 0.988 0.000 0.000 0.000 0.012
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0290 0.9692 0.992 0.000 0.000 0.000 0.008
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0290 0.9684 0.992 0.000 0.000 0.000 0.008
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 5 0.1410 0.9859 0.000 0.000 0.060 0.000 0.940
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.4088 0.4487 0.368 0.632 0.000 0.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0162 0.9681 0.996 0.000 0.000 0.000 0.004
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.5595 0.2685 0.356 0.072 0.000 0.568 0.004
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 5 0.1410 0.9859 0.000 0.000 0.060 0.000 0.940
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0794 0.9679 0.972 0.000 0.000 0.000 0.028
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.9646 0.000 0.000 0.000 1.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9881 0.000 0.000 1.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.9881 0.000 0.000 1.000 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.1197 0.8599 0.048 0.952 0.000 0.000 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0703 0.9677 0.976 0.000 0.000 0.000 0.024
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.0703 0.9680 0.976 0.000 0.000 0.000 0.024
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0162 0.9682 0.996 0.000 0.000 0.000 0.004
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.9646 0.000 0.000 0.000 1.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0963 0.9661 0.964 0.000 0.000 0.000 0.036
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0510 0.9690 0.984 0.000 0.000 0.000 0.016
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0290 0.9684 0.992 0.000 0.000 0.000 0.008
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0290 0.9675 0.992 0.000 0.000 0.000 0.008
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.9646 0.000 0.000 0.000 1.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0794 0.9667 0.972 0.000 0.000 0.000 0.028
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.9098 0.000 1.000 0.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.1270 0.9620 0.948 0.000 0.000 0.000 0.052
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.9646 0.000 0.000 0.000 1.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 5 0.1410 0.9859 0.000 0.000 0.060 0.000 0.940
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.1753 0.869396 0.000 0.004 0.912 0.000 0.084 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.3847 0.592792 0.544 0.000 0.000 0.000 0.456 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.4175 0.683255 0.108 0.000 0.004 0.752 0.000 0.136
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.3862 0.565589 0.524 0.000 0.000 0.000 0.476 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 5 0.5591 -0.016104 0.224 0.000 0.228 0.000 0.548 0.000
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#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 5 0.3695 -0.077057 0.376 0.000 0.000 0.000 0.624 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 5 0.3868 -0.459448 0.496 0.000 0.000 0.000 0.504 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.3854 0.581661 0.536 0.000 0.000 0.000 0.464 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.910620 0.000 1.000 0.000 0.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.1765 0.884556 0.096 0.904 0.000 0.000 0.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0000 0.971029 0.000 0.000 0.000 1.000 0.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.1863 0.301660 0.896 0.000 0.000 0.000 0.104 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.910620 0.000 1.000 0.000 0.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.3868 0.533898 0.508 0.000 0.000 0.000 0.492 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.3851 0.587551 0.540 0.000 0.000 0.000 0.460 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.910620 0.000 1.000 0.000 0.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.910620 0.000 1.000 0.000 0.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0146 0.910109 0.004 0.996 0.000 0.000 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.1075 0.899542 0.048 0.952 0.000 0.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.2912 0.193954 0.784 0.000 0.000 0.000 0.216 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 5 0.3756 -0.165441 0.400 0.000 0.000 0.000 0.600 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 5 0.3672 0.373173 0.368 0.000 0.000 0.000 0.632 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.3864 0.560241 0.520 0.000 0.000 0.000 0.480 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.3727 -0.155013 0.612 0.000 0.000 0.000 0.388 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 5 0.3607 0.036222 0.348 0.000 0.000 0.000 0.652 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.3684 0.368403 0.372 0.000 0.000 0.000 0.628 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 6 0.0000 0.986400 0.000 0.000 0.000 0.000 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.3867 0.343982 0.488 0.512 0.000 0.000 0.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.910620 0.000 1.000 0.000 0.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.3817 -0.152074 0.568 0.000 0.000 0.000 0.432 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.3868 0.505630 0.504 0.000 0.000 0.000 0.496 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.4743 0.328177 0.400 0.052 0.000 0.548 0.000 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 6 0.0000 0.986400 0.000 0.000 0.000 0.000 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.910620 0.000 1.000 0.000 0.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.3023 0.173836 0.768 0.000 0.000 0.000 0.232 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.3647 0.373624 0.360 0.000 0.000 0.000 0.640 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.0146 0.536129 0.004 0.000 0.000 0.000 0.996 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.971029 0.000 0.000 0.000 1.000 0.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.985396 0.000 0.000 1.000 0.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.985396 0.000 0.000 1.000 0.000 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.2378 0.844387 0.152 0.848 0.000 0.000 0.000 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.3868 -0.274460 0.508 0.000 0.000 0.000 0.492 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.0865 0.532080 0.036 0.000 0.000 0.000 0.964 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 5 0.3828 -0.357173 0.440 0.000 0.000 0.000 0.560 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.1765 0.884556 0.096 0.904 0.000 0.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.3851 0.588532 0.540 0.000 0.000 0.000 0.460 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.1663 0.507703 0.088 0.000 0.000 0.000 0.912 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.971029 0.000 0.000 0.000 1.000 0.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.3847 0.592792 0.544 0.000 0.000 0.000 0.456 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.1863 0.495567 0.104 0.000 0.000 0.000 0.896 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.3847 0.592792 0.544 0.000 0.000 0.000 0.456 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.3817 -0.190033 0.568 0.000 0.000 0.000 0.432 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.3847 0.592792 0.544 0.000 0.000 0.000 0.456 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.3847 0.592792 0.544 0.000 0.000 0.000 0.456 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 5 0.3515 0.111330 0.324 0.000 0.000 0.000 0.676 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.3866 0.541478 0.516 0.000 0.000 0.000 0.484 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.3647 0.373624 0.360 0.000 0.000 0.000 0.640 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.1501 0.514180 0.076 0.000 0.000 0.000 0.924 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.2996 0.389219 0.772 0.000 0.000 0.000 0.228 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.910620 0.000 1.000 0.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.971029 0.000 0.000 0.000 1.000 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.3446 0.024489 0.692 0.000 0.000 0.000 0.308 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.910620 0.000 1.000 0.000 0.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.910620 0.000 1.000 0.000 0.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.0363 0.537100 0.012 0.000 0.000 0.000 0.988 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.3647 0.373624 0.360 0.000 0.000 0.000 0.640 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.971029 0.000 0.000 0.000 1.000 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 6 0.0000 0.986400 0.000 0.000 0.000 0.000 0.000 1.000
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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 5.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.990 0.996 0.3454 0.654 0.654
#> 3 3 0.896 0.926 0.964 0.8454 0.691 0.532
#> 4 4 0.925 0.889 0.946 0.0531 0.965 0.904
#> 5 5 0.956 0.914 0.966 0.0642 0.940 0.826
#> 6 6 0.815 0.762 0.880 0.0555 0.976 0.921
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 5
#> attr(,"optional")
#> [1] 2 4
There is also optional best \(k\) = 2 4 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
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.000 0.988 0.000 1.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.000 0.998 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.000 0.988 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.000 0.998 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.689 0.771 0.816 0.184
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 1 0.000 0.998 1.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 1 0.000 0.998 1.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 1 0.000 0.998 1.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 1 0.000 0.998 1.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 1 0.000 0.998 1.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.000 0.988 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.000 0.998 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.000 0.998 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.000 0.988 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 1 0.000 0.998 1.000 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 1 0.000 0.998 1.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.000 0.998 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.000 0.988 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 2 0.000 0.988 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.000 0.998 1.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.000 0.998 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.000 0.998 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 1 0.000 0.998 1.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 2 0.000 0.988 0.000 1.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 1 0.000 0.998 1.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.000 0.998 1.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.000 0.988 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 1 0.000 0.998 1.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 1 0.000 0.998 1.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 1 0.000 0.998 1.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.000 0.998 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 1 0.000 0.998 1.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 1 0.000 0.998 1.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 1 0.000 0.998 1.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.000 0.988 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.000 0.998 1.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.000 0.998 1.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.000 0.998 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.000 0.988 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.000 0.998 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 1 0.000 0.998 1.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.000 0.988 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.000 0.998 1.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.000 0.998 1.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 1 0.000 0.998 1.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.000 0.998 1.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.000 0.998 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 1 0.000 0.998 1.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.000 0.988 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.000 0.988 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.958 0.376 0.620 0.380
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.000 0.998 1.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 1 0.000 0.998 1.000 0.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.000 0.998 1.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.000 0.998 1.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 1 0.000 0.998 1.000 0.000
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#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 1 0.000 0.998 1.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 1 0.000 0.998 1.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 1 0.000 0.998 1.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.000 0.998 1.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.000 0.998 1.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.000 0.998 1.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.000 0.998 1.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.000 0.998 1.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.000 0.998 1.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.000 0.998 1.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.000 0.988 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 1 0.000 0.998 1.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 1 0.000 0.998 1.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.000 0.998 1.000 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.000 0.998 1.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.995 0.159 0.460 0.540
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 2 0.000 0.988 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 1 0.000 0.998 1.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.000 0.998 1.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.000 0.998 1.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.000 0.998 1.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.000 0.988 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 2 0.000 0.988 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 2 0.000 0.988 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 1 0.000 0.998 1.000 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.000 0.998 1.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.000 0.998 1.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.000 0.998 1.000 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 1 0.000 0.998 1.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.000 0.998 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.000 0.998 1.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.000 0.988 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.000 0.998 1.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.000 0.998 1.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.000 0.998 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.000 0.998 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.000 0.998 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.000 0.998 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.000 0.998 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.000 0.998 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.000 0.998 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.000 0.998 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.000 0.998 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 1 0.000 0.998 1.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.000 0.988 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.000 0.998 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 1 0.000 0.998 1.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 1 0.000 0.998 1.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.000 0.998 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.000 0.998 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.000 0.988 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.000 0.988 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0000 0.90688 0.000 0.000 1.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.97634 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.4002 0.85641 0.000 0.160 0.840
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.97634 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 3 0.5988 0.56362 0.304 0.008 0.688
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.98061 0.000 1.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.98061 0.000 1.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.98061 0.000 1.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.98061 0.000 1.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.98061 0.000 1.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.90688 0.000 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.97634 1.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.97634 1.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.90688 0.000 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0424 0.97322 0.008 0.992 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.98061 0.000 1.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.7189 0.49932 0.656 0.052 0.292
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.4002 0.85641 0.000 0.160 0.840
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.90688 0.000 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.97634 1.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.97634 1.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.97634 1.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.98061 0.000 1.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.90688 0.000 0.000 1.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.98061 0.000 1.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.97634 1.000 0.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.90688 0.000 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.98061 0.000 1.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.98061 0.000 1.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.98061 0.000 1.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.97634 1.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.98061 0.000 1.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.98061 0.000 1.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.98061 0.000 1.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.90688 0.000 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.4842 0.71261 0.776 0.224 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.97634 1.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.97634 1.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.4002 0.85641 0.000 0.160 0.840
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.97634 1.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.98061 0.000 1.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.90688 0.000 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.97634 1.000 0.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.4504 0.75906 0.804 0.196 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.98061 0.000 1.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.9627 -0.06280 0.428 0.208 0.364
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.97634 1.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.98061 0.000 1.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.90688 0.000 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.90688 0.000 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 3 0.6148 0.76528 0.148 0.076 0.776
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.97634 1.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.1315 0.95620 0.008 0.972 0.020
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.97634 1.000 0.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.97634 1.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.98061 0.000 1.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 3 0.4002 0.85641 0.000 0.160 0.840
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.97634 1.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.90688 0.000 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.98061 0.000 1.000 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.0424 0.97322 0.008 0.992 0.000
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.97634 1.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.0000 0.97634 1.000 0.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.4002 0.85641 0.000 0.160 0.840
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.97634 1.000 0.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.97634 1.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.97634 1.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.0000 0.97634 1.000 0.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 3 0.4002 0.85641 0.000 0.160 0.840
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0424 0.96885 0.992 0.008 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.98061 0.000 1.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.97634 1.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0000 0.90688 0.000 0.000 1.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.97634 1.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.98061 0.000 1.000 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.97634 1.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.0000 0.97634 1.000 0.000 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 2 0.0424 0.97322 0.008 0.992 0.000
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.4504 0.75906 0.804 0.196 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.90688 0.000 0.000 1.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.97634 1.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.98061 0.000 1.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.97634 1.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.97634 1.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.90688 0.000 0.000 1.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.2339 0.92193 0.940 0.048 0.012
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 3 0.4002 0.85641 0.000 0.160 0.840
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.98061 0.000 1.000 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.97634 1.000 0.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.97634 1.000 0.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.97634 1.000 0.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.97634 1.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 3 0.4002 0.85641 0.000 0.160 0.840
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 3 0.4002 0.85641 0.000 0.160 0.840
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.97634 1.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.0424 0.97322 0.008 0.992 0.000
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.97634 1.000 0.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.97634 1.000 0.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.98061 0.000 1.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.90688 0.000 0.000 1.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.97634 1.000 0.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.97634 1.000 0.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.98061 0.000 1.000 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.97634 1.000 0.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0000 0.90688 0.000 0.000 1.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.97634 1.000 0.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0000 0.98061 0.000 1.000 0.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.0000 0.98061 0.000 1.000 0.000
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.0237 0.97695 0.004 0.996 0.000
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 2 0.4589 0.74971 0.008 0.820 0.172
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0000 0.98061 0.000 1.000 0.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.6062 0.37864 0.616 0.384 0.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0000 0.98061 0.000 1.000 0.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.0000 0.97634 1.000 0.000 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.97634 1.000 0.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.0000 0.98061 0.000 1.000 0.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.97634 1.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.3752 0.78949 0.144 0.856 0.000
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.0000 0.97634 1.000 0.000 0.000
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.0000 0.98061 0.000 1.000 0.000
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.0000 0.90688 0.000 0.000 1.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.1860 0.92639 0.948 0.052 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0000 0.97634 1.000 0.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.97634 1.000 0.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 2 0.0424 0.97322 0.008 0.992 0.000
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#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.97634 1.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.4002 0.85641 0.000 0.160 0.840
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.97634 1.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.97634 1.000 0.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.97634 1.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.97634 1.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.97634 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.97634 1.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.97634 1.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.97634 1.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.97634 1.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.97634 1.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.97634 1.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.98061 0.000 1.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.4002 0.85641 0.000 0.160 0.840
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.97634 1.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.98061 0.000 1.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.98061 0.000 1.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.97634 1.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.4555 0.75330 0.800 0.200 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.4002 0.85641 0.000 0.160 0.840
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.90688 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.2530 0.82147 0.000 0.000 0.888 0.112
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.7043 0.44613 0.000 0.128 0.368 0.504
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 3 0.8530 -0.12063 0.332 0.024 0.352 0.292
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0469 0.94260 0.000 0.988 0.000 0.012
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.2216 0.89015 0.000 0.908 0.000 0.092
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.2805 0.87314 0.000 0.888 0.012 0.100
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.8026 0.13893 0.496 0.024 0.288 0.192
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.1792 0.83427 0.000 0.000 0.068 0.932
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.1637 0.91455 0.000 0.940 0.000 0.060
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.2081 0.89629 0.000 0.916 0.000 0.084
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0188 0.94645 0.000 0.996 0.000 0.004
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.5880 0.68594 0.756 0.096 0.052 0.096
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.1792 0.83427 0.000 0.000 0.068 0.932
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.4484 0.75687 0.816 0.132 0.020 0.032
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0707 0.93849 0.000 0.980 0.000 0.020
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.9022 -0.30495 0.344 0.056 0.292 0.308
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 4 0.9670 0.21824 0.200 0.156 0.304 0.340
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.6673 0.44971 0.000 0.608 0.252 0.140
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.1792 0.83427 0.000 0.000 0.068 0.932
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.2216 0.89015 0.000 0.908 0.000 0.092
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.6762 0.60328 0.040 0.680 0.164 0.116
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.1792 0.83427 0.000 0.000 0.068 0.932
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.1792 0.83427 0.000 0.000 0.068 0.932
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0188 0.95745 0.996 0.004 0.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0817 0.93632 0.000 0.976 0.000 0.024
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.1590 0.92397 0.956 0.008 0.008 0.028
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 2 0.5417 0.74412 0.080 0.780 0.036 0.104
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.4410 0.74796 0.812 0.144 0.012 0.032
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0592 0.94798 0.984 0.000 0.000 0.016
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.4081 0.80859 0.844 0.008 0.064 0.084
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.1792 0.83427 0.000 0.000 0.068 0.932
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.1792 0.83427 0.000 0.000 0.068 0.932
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.6993 0.45634 0.000 0.124 0.364 0.512
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.2676 0.88047 0.000 0.896 0.012 0.092
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.1792 0.90863 0.000 0.932 0.000 0.068
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 2 0.8991 0.00731 0.080 0.424 0.300 0.196
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.8329 0.26387 0.544 0.236 0.128 0.092
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.5287 0.71472 0.116 0.772 0.012 0.100
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.1637 0.91425 0.000 0.940 0.000 0.060
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.2142 0.89658 0.928 0.016 0.000 0.056
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 2 0.2805 0.87314 0.000 0.888 0.012 0.100
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 4 0.1792 0.83427 0.000 0.000 0.068 0.932
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 4C15BE7F-B855-4670-9E38-0A626527D981 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.0000 0.94817 0.000 1.000 0.000 0.000
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#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.97577 0.000 0.000 1.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.4332 0.79674 0.000 0.816 0.072 0.112
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.3674 0.80469 0.848 0.000 0.116 0.036
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.9301 -0.37015 0.312 0.080 0.300 0.308
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 4 0.9480 0.23964 0.104 0.264 0.300 0.332
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.1792 0.83427 0.000 0.000 0.068 0.932
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.1792 0.83427 0.000 0.000 0.068 0.932
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.94817 0.000 1.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.96130 1.000 0.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.4716 0.72751 0.796 0.152 0.016 0.036
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.1792 0.83427 0.000 0.000 0.068 0.932
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.97577 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.4101 0.441 0.000 0.000 0.628 0.000 0.372
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 5 0.0000 0.825 0.000 0.000 0.000 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 5 0.0609 0.818 0.020 0.000 0.000 0.000 0.980
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0162 0.951 0.000 0.996 0.000 0.000 0.004
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.4074 0.448 0.000 0.636 0.000 0.000 0.364
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 5 0.3816 0.510 0.000 0.304 0.000 0.000 0.696
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 5 0.1732 0.763 0.080 0.000 0.000 0.000 0.920
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 1.000 0.000 0.000 0.000 1.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.3366 0.694 0.000 0.768 0.000 0.000 0.232
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.4030 0.478 0.000 0.648 0.000 0.000 0.352
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0404 0.945 0.000 0.988 0.000 0.000 0.012
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.3876 0.517 0.684 0.000 0.000 0.000 0.316
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 1.000 0.000 0.000 0.000 1.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.3109 0.735 0.800 0.000 0.000 0.000 0.200
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0794 0.935 0.000 0.972 0.000 0.000 0.028
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 5 0.0510 0.820 0.016 0.000 0.000 0.000 0.984
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 5 0.0000 0.825 0.000 0.000 0.000 0.000 1.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 5 0.0000 0.825 0.000 0.000 0.000 0.000 1.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0000 1.000 0.000 0.000 0.000 1.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.4182 0.362 0.000 0.600 0.000 0.000 0.400
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 5 0.0000 0.825 0.000 0.000 0.000 0.000 1.000
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.0162 0.973 0.996 0.000 0.000 0.000 0.004
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0000 1.000 0.000 0.000 0.000 1.000 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.1043 0.940 0.960 0.000 0.000 0.000 0.040
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0000 1.000 0.000 0.000 0.000 1.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.1341 0.924 0.944 0.000 0.000 0.000 0.056
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.1043 0.923 0.000 0.960 0.000 0.000 0.040
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.3210 0.720 0.788 0.000 0.000 0.000 0.212
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 5 0.0162 0.824 0.000 0.004 0.000 0.000 0.996
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.3109 0.735 0.800 0.000 0.000 0.000 0.200
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 5 0.4219 0.306 0.416 0.000 0.000 0.000 0.584
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 5 0.4242 0.276 0.428 0.000 0.000 0.000 0.572
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.0000 1.000 0.000 0.000 0.000 1.000 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.2852 0.779 0.828 0.000 0.000 0.000 0.172
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.0000 1.000 0.000 0.000 0.000 1.000 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 5 0.2648 0.712 0.000 0.000 0.000 0.152 0.848
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 5 0.4192 0.263 0.000 0.404 0.000 0.000 0.596
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.0404 0.945 0.000 0.988 0.000 0.000 0.012
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.4030 0.483 0.000 0.648 0.000 0.000 0.352
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 5 0.0000 0.825 0.000 0.000 0.000 0.000 1.000
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 5 0.2929 0.631 0.180 0.000 0.000 0.000 0.820
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.0290 0.969 0.992 0.000 0.000 0.000 0.008
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 5 0.1792 0.766 0.000 0.084 0.000 0.000 0.916
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.3661 0.623 0.000 0.724 0.000 0.000 0.276
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.3336 0.691 0.772 0.000 0.000 0.000 0.228
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 5 0.0000 0.825 0.000 0.000 0.000 0.000 1.000
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#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0000 1.000 0.000 0.000 0.000 1.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.1908 0.885 0.908 0.000 0.000 0.000 0.092
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.4227 0.307 0.000 0.580 0.000 0.000 0.420
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.1410 0.918 0.940 0.000 0.000 0.000 0.060
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.1341 0.922 0.944 0.000 0.000 0.000 0.056
#> AC408085-7A00-405A-BBAE-D85E418EA768 5 0.0609 0.818 0.020 0.000 0.000 0.000 0.980
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.4300 0.157 0.000 0.524 0.000 0.000 0.476
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.4262 0.190 0.560 0.000 0.000 0.000 0.440
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 5 0.0000 0.825 0.000 0.000 0.000 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 1.000 0.000 0.000 0.000 1.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 5 0.0609 0.816 0.000 0.020 0.000 0.000 0.980
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.3336 0.692 0.772 0.000 0.000 0.000 0.228
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.0404 0.821 0.012 0.000 0.000 0.000 0.988
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 5 0.0000 0.825 0.000 0.000 0.000 0.000 1.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 1.000 0.000 0.000 0.000 1.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0404 0.966 0.988 0.000 0.000 0.000 0.012
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0162 0.973 0.996 0.000 0.000 0.000 0.004
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 1.000 0.000 0.000 0.000 1.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.953 0.000 1.000 0.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.976 1.000 0.000 0.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.3109 0.735 0.800 0.000 0.000 0.000 0.200
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 1.000 0.000 0.000 0.000 1.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.994 0.000 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.4317 0.5875 0.000 0.000 0.688 0.000 0.060 0.252
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.2762 0.7702 0.804 0.000 0.000 0.000 0.196 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 6 0.1555 0.5726 0.000 0.000 0.004 0.004 0.060 0.932
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0547 0.8549 0.980 0.000 0.000 0.000 0.020 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 6 0.4093 0.1702 0.004 0.000 0.004 0.000 0.440 0.552
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.3198 0.6582 0.000 0.740 0.000 0.000 0.000 0.260
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.4174 0.7184 0.000 0.732 0.000 0.000 0.084 0.184
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.2474 0.8488 0.000 0.880 0.000 0.000 0.080 0.040
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.3176 0.8231 0.000 0.832 0.000 0.000 0.084 0.084
#> 6F178361-2A14-4245-8A35-13A0174231E4 6 0.5071 0.2066 0.000 0.376 0.000 0.000 0.084 0.540
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.1075 0.9636 0.000 0.000 0.952 0.000 0.048 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.1267 0.8538 0.940 0.000 0.000 0.000 0.060 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0632 0.8538 0.976 0.000 0.000 0.000 0.024 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.1075 0.9636 0.000 0.000 0.952 0.000 0.048 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 6 0.3215 0.4907 0.000 0.240 0.000 0.000 0.004 0.756
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.2846 0.8355 0.000 0.856 0.000 0.000 0.084 0.060
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 6 0.5145 -0.2363 0.084 0.000 0.000 0.000 0.432 0.484
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 1.0000 0.000 0.000 0.000 1.000 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0146 0.9665 0.000 0.000 0.996 0.000 0.004 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.2340 0.8263 0.852 0.000 0.000 0.000 0.148 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0363 0.8533 0.988 0.000 0.000 0.000 0.012 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.1556 0.8408 0.920 0.000 0.000 0.000 0.080 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.5031 0.1091 0.000 0.480 0.000 0.000 0.072 0.448
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0790 0.9573 0.000 0.000 0.968 0.000 0.032 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 6 0.5025 0.2539 0.000 0.356 0.000 0.000 0.084 0.560
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.2631 0.7671 0.820 0.000 0.000 0.000 0.180 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0632 0.9645 0.000 0.000 0.976 0.000 0.024 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.2250 0.8513 0.000 0.888 0.000 0.000 0.020 0.092
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.2294 0.8545 0.000 0.892 0.000 0.000 0.072 0.036
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0547 0.8906 0.000 0.980 0.000 0.000 0.020 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0458 0.8530 0.984 0.000 0.000 0.000 0.016 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.3268 0.8148 0.000 0.824 0.000 0.000 0.076 0.100
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0632 0.8896 0.000 0.976 0.000 0.000 0.024 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0458 0.8911 0.000 0.984 0.000 0.000 0.016 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.1075 0.9636 0.000 0.000 0.952 0.000 0.048 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.5556 -0.0119 0.512 0.000 0.000 0.000 0.336 0.152
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.1204 0.8556 0.944 0.000 0.000 0.000 0.056 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.2969 0.7139 0.776 0.000 0.000 0.000 0.224 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 1.0000 0.000 0.000 0.000 1.000 0.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.1327 0.8471 0.936 0.000 0.000 0.000 0.064 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0363 0.8923 0.000 0.988 0.000 0.000 0.012 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.1141 0.9626 0.000 0.000 0.948 0.000 0.052 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.1910 0.8210 0.892 0.000 0.000 0.000 0.108 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.4863 0.3495 0.660 0.000 0.000 0.000 0.140 0.200
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.5145 0.1982 0.000 0.484 0.000 0.000 0.084 0.432
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 6 0.3742 0.3136 0.004 0.000 0.000 0.000 0.348 0.648
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.1501 0.8470 0.924 0.000 0.000 0.000 0.076 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.8910 0.000 1.000 0.000 0.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0363 0.9670 0.000 0.000 0.988 0.000 0.012 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0632 0.9645 0.000 0.000 0.976 0.000 0.024 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 6 0.3409 0.3832 0.000 0.000 0.000 0.000 0.300 0.700
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.2092 0.8455 0.876 0.000 0.000 0.000 0.124 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 6 0.1075 0.5770 0.000 0.000 0.000 0.000 0.048 0.952
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0935 0.8555 0.964 0.000 0.000 0.000 0.032 0.004
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.3023 0.7357 0.784 0.000 0.000 0.000 0.212 0.004
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.3274 0.8176 0.000 0.824 0.000 0.000 0.080 0.096
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0000 1.0000 0.000 0.000 0.000 1.000 0.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.1327 0.8448 0.936 0.000 0.000 0.000 0.064 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0632 0.9645 0.000 0.000 0.976 0.000 0.024 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.5093 0.2977 0.000 0.528 0.000 0.000 0.084 0.388
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 6 0.0692 0.5869 0.000 0.004 0.000 0.000 0.020 0.976
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.3371 0.6323 0.708 0.000 0.000 0.000 0.292 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.3584 0.5879 0.688 0.000 0.000 0.000 0.308 0.004
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0000 1.0000 0.000 0.000 0.000 1.000 0.000 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.1141 0.8484 0.948 0.000 0.000 0.000 0.052 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0937 0.8521 0.960 0.000 0.000 0.000 0.040 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.3288 0.6533 0.724 0.000 0.000 0.000 0.276 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.4363 0.4963 0.636 0.000 0.000 0.000 0.324 0.040
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0000 1.0000 0.000 0.000 0.000 1.000 0.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.5030 0.3988 0.588 0.000 0.000 0.000 0.316 0.096
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0632 0.8904 0.000 0.976 0.000 0.000 0.024 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.1610 0.8436 0.916 0.000 0.000 0.000 0.084 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0547 0.9651 0.000 0.000 0.980 0.000 0.020 0.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.2092 0.8427 0.876 0.000 0.000 0.000 0.124 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.4111 0.7281 0.000 0.740 0.000 0.000 0.084 0.176
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.1267 0.8458 0.940 0.000 0.000 0.000 0.060 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.5762 -0.2542 0.428 0.000 0.000 0.000 0.400 0.172
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 6 0.1564 0.5862 0.000 0.040 0.000 0.000 0.024 0.936
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.4828 0.3593 0.664 0.000 0.000 0.000 0.136 0.200
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0146 0.9665 0.000 0.000 0.996 0.000 0.004 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.5714 -0.3548 0.484 0.000 0.000 0.000 0.340 0.176
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0632 0.8896 0.000 0.976 0.000 0.000 0.024 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0937 0.8517 0.960 0.000 0.000 0.000 0.040 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.1327 0.8447 0.936 0.000 0.000 0.000 0.064 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.1075 0.9636 0.000 0.000 0.952 0.000 0.048 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.5994 -0.6799 0.388 0.000 0.000 0.000 0.380 0.232
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.0000 1.0000 0.000 0.000 0.000 1.000 0.000 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.2724 0.8400 0.000 0.864 0.000 0.000 0.084 0.052
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0632 0.8535 0.976 0.000 0.000 0.000 0.024 0.000
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#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.1075 0.8503 0.952 0.000 0.000 0.000 0.048 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0363 0.8533 0.988 0.000 0.000 0.000 0.012 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.1267 0.8516 0.940 0.000 0.000 0.000 0.060 0.000
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#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.1327 0.8447 0.936 0.000 0.000 0.000 0.064 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.1387 0.8434 0.932 0.000 0.000 0.000 0.068 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.1686 0.8400 0.924 0.000 0.000 0.000 0.064 0.012
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.3175 0.6874 0.744 0.000 0.000 0.000 0.256 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.1007 0.8472 0.956 0.000 0.000 0.000 0.044 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0632 0.8896 0.000 0.976 0.000 0.000 0.024 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 1.0000 0.000 0.000 0.000 1.000 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.2697 0.7483 0.812 0.000 0.000 0.000 0.188 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0260 0.8918 0.000 0.992 0.000 0.000 0.008 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0260 0.8918 0.000 0.992 0.000 0.000 0.008 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0146 0.8538 0.996 0.000 0.000 0.000 0.004 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.4205 0.4666 0.728 0.000 0.000 0.000 0.084 0.188
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 1.0000 0.000 0.000 0.000 1.000 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0260 0.9663 0.000 0.000 0.992 0.000 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["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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 5.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.626 0.919 0.942 0.4772 0.499 0.499
#> 3 3 1.000 0.972 0.989 0.3338 0.838 0.684
#> 4 4 0.841 0.813 0.841 0.0985 0.955 0.879
#> 5 5 0.908 0.890 0.932 0.0935 0.874 0.638
#> 6 6 0.853 0.755 0.861 0.0402 0.966 0.859
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 5
#> attr(,"optional")
#> [1] 3
There is also optional best \(k\) = 3 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.0000 0.885 0.000 1.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.985 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.0000 0.885 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.985 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.7219 0.740 0.800 0.200
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.7056 0.875 0.192 0.808
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.7056 0.875 0.192 0.808
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.7056 0.875 0.192 0.808
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.7056 0.875 0.192 0.808
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.7056 0.875 0.192 0.808
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.0000 0.885 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.985 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.985 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.0000 0.885 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.7219 0.867 0.200 0.800
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.7056 0.875 0.192 0.808
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.985 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0000 0.885 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 2 0.0000 0.885 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.985 1.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.985 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.985 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.7056 0.875 0.192 0.808
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 2 0.0000 0.885 0.000 1.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.7056 0.875 0.192 0.808
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.985 1.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.0000 0.885 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.7056 0.875 0.192 0.808
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.7056 0.875 0.192 0.808
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.7056 0.875 0.192 0.808
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.985 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.7056 0.875 0.192 0.808
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.7056 0.875 0.192 0.808
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.7056 0.875 0.192 0.808
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.0000 0.885 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.985 1.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.985 1.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.985 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0000 0.885 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.985 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.7056 0.875 0.192 0.808
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.0000 0.885 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.985 1.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.985 1.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.7056 0.875 0.192 0.808
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.985 1.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.985 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.7056 0.875 0.192 0.808
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.0000 0.885 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.0000 0.885 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 2 0.6712 0.752 0.176 0.824
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.985 1.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.5178 0.881 0.116 0.884
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.985 1.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.985 1.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.7056 0.875 0.192 0.808
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.0000 0.885 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.985 1.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 2 0.0000 0.885 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.7056 0.875 0.192 0.808
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.6343 0.878 0.160 0.840
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.985 1.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.0000 0.985 1.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.0000 0.885 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.985 1.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.985 1.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.985 1.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.0000 0.985 1.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.0000 0.885 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.985 1.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.7056 0.875 0.192 0.808
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.985 1.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 2 0.0000 0.885 0.000 1.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.985 1.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.9977 0.344 0.472 0.528
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.985 1.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.0000 0.985 1.000 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 1 0.6048 0.792 0.852 0.148
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.0000 0.985 1.000 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 2 0.0000 0.885 0.000 1.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.985 1.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.7056 0.875 0.192 0.808
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.985 1.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.985 1.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 2 0.0000 0.885 0.000 1.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.985 1.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 2 0.0000 0.885 0.000 1.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.9087 0.694 0.324 0.676
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.985 1.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.985 1.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.985 1.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.985 1.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.0000 0.885 0.000 1.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.0000 0.885 0.000 1.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.985 1.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.8207 0.800 0.256 0.744
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.985 1.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.985 1.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.7056 0.875 0.192 0.808
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 2 0.0000 0.885 0.000 1.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.985 1.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.985 1.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.7056 0.875 0.192 0.808
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.985 1.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 2 0.0000 0.885 0.000 1.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.985 1.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.7056 0.875 0.192 0.808
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 1 0.9635 0.198 0.612 0.388
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 1 0.7602 0.663 0.780 0.220
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 2 0.0938 0.885 0.012 0.988
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.7056 0.875 0.192 0.808
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.0000 0.985 1.000 0.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.7056 0.875 0.192 0.808
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#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0000 0.985 1.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.985 1.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 2 0.7453 0.854 0.212 0.788
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.7056 0.875 0.192 0.808
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 2 0.0000 0.885 0.000 1.000
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#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.7056 0.875 0.192 0.808
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.985 1.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 2 0.0000 0.885 0.000 1.000
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 2 0.0000 0.885 0.000 1.000
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.7056 0.875 0.192 0.808
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.7056 0.875 0.192 0.808
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.0000 0.985 1.000 0.000
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#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 1 0.0000 0.985 1.000 0.000
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.7056 0.875 0.192 0.808
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#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 2 0.7056 0.875 0.192 0.808
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#> 1506AC5C-E9D2-469A-8B74-AD6FDA81031B 1 0.0000 0.985 1.000 0.000
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#> D7D4461C-60DA-4EE9-80FC-0D98CB87BA8F 1 0.7674 0.654 0.776 0.224
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#> E5539B0E-FBE9-4945-9FE3-5FA2DCAE963B 1 0.0000 0.985 1.000 0.000
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#> 6EF22E72-6FCD-4645-8E8A-F6F117387082 1 0.0000 0.985 1.000 0.000
#> 680DFFFE-43F3-4A48-A662-FFE89FB43B04 1 0.0000 0.985 1.000 0.000
#> 4BB7CD09-ECE2-4774-B82C-949B6558C4D2 1 0.4161 0.885 0.916 0.084
#> 10E55344-362E-4982-B9EF-BE428086D27E 2 0.0000 0.885 0.000 1.000
#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 2 0.7056 0.875 0.192 0.808
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.0000 0.985 1.000 0.000
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 2 0.0672 0.882 0.008 0.992
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.0000 0.985 1.000 0.000
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.7056 0.875 0.192 0.808
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 2 0.0000 0.885 0.000 1.000
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.0000 0.985 1.000 0.000
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 2 0.0000 0.885 0.000 1.000
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 2 0.0000 0.885 0.000 1.000
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 2 0.0000 0.885 0.000 1.000
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.7056 0.875 0.192 0.808
#> 347C4168-42C5-494B-8080-2C244F6201FF 1 0.0000 0.985 1.000 0.000
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.7056 0.875 0.192 0.808
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 2 0.0000 0.885 0.000 1.000
#> 59363737-247E-4524-B7CD-F43B2C861027 2 0.0000 0.885 0.000 1.000
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 2 0.0000 0.885 0.000 1.000
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0000 0.985 1.000 0.000
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 2 0.0000 0.885 0.000 1.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.6973 0.871 0.188 0.812
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 2 0.0000 0.885 0.000 1.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.7056 0.875 0.192 0.808
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 2 0.0000 0.885 0.000 1.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.985 1.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 2 0.0000 0.885 0.000 1.000
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.985 1.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.985 1.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.7056 0.875 0.192 0.808
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.985 1.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.985 1.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.985 1.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.985 1.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.985 1.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.985 1.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.7056 0.875 0.192 0.808
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.7056 0.875 0.192 0.808
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 2 0.0000 0.885 0.000 1.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.7056 0.875 0.192 0.808
#> 36B38256-6879-49C3-94CC-5022F02D1561 2 0.0000 0.885 0.000 1.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.985 1.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.7056 0.875 0.192 0.808
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.985 1.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 2 0.0000 0.885 0.000 1.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.985 1.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.985 1.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.7056 0.875 0.192 0.808
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 1 0.7219 0.702 0.800 0.200
#> B9009D40-10AC-48B3-9495-865BCE904CB1 2 0.0000 0.885 0.000 1.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.7219 0.867 0.200 0.800
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.985 1.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.985 1.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.985 1.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.985 1.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.985 1.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 2 0.0000 0.885 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.985 1.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 2 0.0000 0.885 0.000 1.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.985 1.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.7056 0.875 0.192 0.808
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.985 1.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.7056 0.875 0.192 0.808
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 2 0.0000 0.885 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.7056 0.875 0.192 0.808
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.7056 0.875 0.192 0.808
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.7056 0.875 0.192 0.808
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.985 1.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 2 0.0000 0.885 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.985 1.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.7219 0.740 0.800 0.200
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.985 1.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.985 1.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.7056 0.875 0.192 0.808
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.7056 0.875 0.192 0.808
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.0000 0.885 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.0000 0.985 1.000 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.7056 0.875 0.192 0.808
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.985 1.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.985 1.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.7056 0.875 0.192 0.808
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.7056 0.875 0.192 0.808
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.3879 0.883 0.076 0.924
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.7056 0.875 0.192 0.808
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.985 1.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.985 1.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.985 1.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.985 1.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.985 1.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.7056 0.747 0.808 0.192
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.985 1.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.0000 0.885 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.7219 0.867 0.200 0.800
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.7056 0.875 0.192 0.808
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0000 0.985 1.000 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.985 1.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.0000 0.885 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 2 0.0000 0.885 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.7056 0.875 0.192 0.808
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.985 1.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.985 1.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.985 1.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.0000 0.885 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 2 0.0000 0.885 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 2 0.0000 0.885 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.0000 0.885 0.000 1.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.985 1.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.1633 0.959 0.976 0.024
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 2 0.0000 0.885 0.000 1.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.7056 0.875 0.192 0.808
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.985 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.985 1.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.0000 0.885 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.985 1.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.985 1.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.985 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.985 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.985 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.985 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.985 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.985 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.985 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.985 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.985 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.7056 0.875 0.192 0.808
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.885 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.985 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.7056 0.875 0.192 0.808
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.7056 0.875 0.192 0.808
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.985 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.985 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.0000 0.885 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.0000 0.885 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0000 0.9905 0.000 0.000 1.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9889 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.0000 0.9905 0.000 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9889 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.5591 0.5671 0.696 0.000 0.304
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.9874 0.000 1.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.9874 0.000 1.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.9874 0.000 1.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.9874 0.000 1.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.9874 0.000 1.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.9905 0.000 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9889 1.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9889 1.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.9905 0.000 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.9874 0.000 1.000 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.9874 0.000 1.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9889 1.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.0000 0.9905 0.000 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.9905 0.000 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9889 1.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9889 1.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9889 1.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.9874 0.000 1.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.9905 0.000 0.000 1.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.9874 0.000 1.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.9889 1.000 0.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.9905 0.000 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.9874 0.000 1.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.9874 0.000 1.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.9874 0.000 1.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9889 1.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.9874 0.000 1.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.9874 0.000 1.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9874 0.000 1.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.9905 0.000 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.9889 1.000 0.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.9889 1.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.9889 1.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.0000 0.9905 0.000 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.9889 1.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9874 0.000 1.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.9905 0.000 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.9889 1.000 0.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.9889 1.000 0.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.9874 0.000 1.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.9889 1.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9889 1.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9874 0.000 1.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.9905 0.000 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.9905 0.000 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 3 0.0000 0.9905 0.000 0.000 1.000
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#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.9889 1.000 0.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.9874 0.000 1.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.9889 1.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.0000 0.9905 0.000 0.000 1.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.9889 1.000 0.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.9889 1.000 0.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0000 0.9874 0.000 1.000 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 1 0.5431 0.6023 0.716 0.284 0.000
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0000 0.9905 0.000 0.000 1.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.9874 0.000 1.000 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.9889 1.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.9889 1.000 0.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.9889 1.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.9889 1.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.9889 1.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 3 0.0000 0.9905 0.000 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.9889 1.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.0000 0.9905 0.000 0.000 1.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.9889 1.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.9874 0.000 1.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.9889 1.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.0000 0.9874 0.000 1.000 0.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.9905 0.000 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.9874 0.000 1.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.9874 0.000 1.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.9874 0.000 1.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.9889 1.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.9905 0.000 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9889 1.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.6192 0.2847 0.580 0.000 0.420
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.9889 1.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9889 1.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.9874 0.000 1.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.9874 0.000 1.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.0000 0.9905 0.000 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.0000 0.9889 1.000 0.000 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.9874 0.000 1.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.9889 1.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9889 1.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.9874 0.000 1.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.9874 0.000 1.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.9874 0.000 1.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.9874 0.000 1.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.9889 1.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9889 1.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.9889 1.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9889 1.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.9889 1.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.1163 0.9616 0.972 0.000 0.028
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.9889 1.000 0.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.9905 0.000 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.9874 0.000 1.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.9874 0.000 1.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0000 0.9889 1.000 0.000 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9889 1.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.0000 0.9905 0.000 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.9905 0.000 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.9874 0.000 1.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.9889 1.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.9889 1.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.9889 1.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.0000 0.9905 0.000 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9905 0.000 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.9905 0.000 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.0000 0.9874 0.000 1.000 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.9889 1.000 0.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.3941 0.8115 0.844 0.000 0.156
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.0000 0.9905 0.000 0.000 1.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.9874 0.000 1.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9889 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.9889 1.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.0000 0.9905 0.000 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.9889 1.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.9889 1.000 0.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9889 1.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.9889 1.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9889 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9889 1.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9889 1.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9889 1.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.9889 1.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.9889 1.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9889 1.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9874 0.000 1.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.0000 0.9905 0.000 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.9889 1.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9874 0.000 1.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.9874 0.000 1.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.9889 1.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.9889 1.000 0.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.0000 0.9905 0.000 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.9905 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.4994 0.8671 0.000 0.000 0.520 0.480
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.0188 0.8948 0.000 0.000 0.004 0.996
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 3 0.2635 0.1814 0.020 0.000 0.904 0.076
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.3400 0.7881 0.180 0.820 0.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.4925 0.8481 0.000 0.000 0.572 0.428
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.4916 0.8346 0.576 0.000 0.424 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.4925 0.8481 0.000 0.000 0.572 0.428
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.4605 0.5867 0.336 0.664 0.000 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0188 0.6840 0.996 0.000 0.004 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.9013 0.000 0.000 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.4994 0.8671 0.000 0.000 0.520 0.480
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.4916 0.8346 0.576 0.000 0.424 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.1022 0.6979 0.968 0.000 0.032 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.4977 0.8711 0.000 0.000 0.540 0.460
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.4830 0.5120 0.392 0.608 0.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.4933 0.8327 0.568 0.000 0.432 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.4994 0.8671 0.000 0.000 0.520 0.480
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.4925 0.8481 0.000 0.000 0.572 0.428
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.3942 0.7826 0.764 0.000 0.236 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 0.9013 0.000 0.000 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.4925 0.8481 0.000 0.000 0.572 0.428
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.4888 0.8344 0.588 0.000 0.412 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.2334 0.7223 0.908 0.000 0.088 0.004
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.4981 0.8717 0.000 0.000 0.536 0.464
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.4996 0.8625 0.000 0.000 0.516 0.484
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 3 0.7458 0.3437 0.240 0.000 0.508 0.252
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.4977 0.8177 0.540 0.000 0.460 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.7686 -0.1795 0.000 0.436 0.336 0.228
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.4977 0.8177 0.540 0.000 0.460 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0000 0.9013 0.000 0.000 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.4994 0.8671 0.000 0.000 0.520 0.480
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.4804 0.5238 0.384 0.616 0.000 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 1 0.7756 -0.3352 0.428 0.252 0.000 0.320
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0000 0.9013 0.000 0.000 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.2647 0.7337 0.880 0.000 0.120 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.4907 0.8347 0.580 0.000 0.420 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0000 0.9013 0.000 0.000 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.4977 0.8177 0.540 0.000 0.460 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.4933 0.8327 0.568 0.000 0.432 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.4994 0.8671 0.000 0.000 0.520 0.480
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.4972 0.8201 0.544 0.000 0.456 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.4925 0.8342 0.572 0.000 0.428 0.000
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#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.4996 0.8625 0.000 0.000 0.516 0.484
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.4916 0.8346 0.576 0.000 0.424 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.4989 0.8704 0.000 0.000 0.528 0.472
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 1 0.3649 0.4167 0.796 0.204 0.000 0.000
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.4925 0.8481 0.000 0.000 0.572 0.428
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0188 0.9646 0.000 0.996 0.004 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.4877 0.8340 0.592 0.000 0.408 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.4907 0.8347 0.580 0.000 0.420 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.0000 0.9013 0.000 0.000 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.4888 0.8343 0.588 0.000 0.412 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.0000 0.9013 0.000 0.000 0.000 1.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.4916 0.8346 0.576 0.000 0.424 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.4985 0.8125 0.532 0.000 0.468 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.4961 0.8656 0.000 0.000 0.552 0.448
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.4916 0.8346 0.576 0.000 0.424 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.4925 0.8481 0.000 0.000 0.572 0.428
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.4898 0.8346 0.584 0.000 0.416 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.7625 -0.0878 0.472 0.000 0.252 0.276
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.4907 0.8347 0.580 0.000 0.420 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0000 0.9013 0.000 0.000 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.4907 0.8347 0.580 0.000 0.420 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.4916 0.8346 0.576 0.000 0.424 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.4933 0.8327 0.568 0.000 0.432 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.4877 0.8343 0.592 0.000 0.408 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 3 0.4431 -0.5358 0.304 0.000 0.696 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.4996 0.8625 0.000 0.000 0.516 0.484
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.3486 0.4347 0.000 0.000 0.188 0.812
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.4994 0.8671 0.000 0.000 0.520 0.480
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.4916 0.8346 0.576 0.000 0.424 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.9013 0.000 0.000 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.4933 0.8522 0.000 0.000 0.568 0.432
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.4925 0.8481 0.000 0.000 0.572 0.428
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.1474 0.9182 0.000 0.948 0.052 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.4661 0.8211 0.652 0.000 0.348 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.3399 0.5208 0.868 0.000 0.092 0.040
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 4 0.5263 -0.7169 0.008 0.000 0.448 0.544
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.9013 0.000 0.000 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.4916 0.8346 0.576 0.000 0.424 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.2589 0.7352 0.884 0.000 0.116 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.2408 0.7313 0.896 0.000 0.104 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.4933 0.8327 0.568 0.000 0.432 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.4855 0.8327 0.600 0.000 0.400 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.2408 0.7300 0.896 0.000 0.104 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.4925 0.8342 0.572 0.000 0.428 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.9013 0.000 0.000 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.9676 0.000 1.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.6818 1.000 0.000 0.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.9013 0.000 0.000 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.4992 0.8692 0.000 0.000 0.524 0.476
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.1571 0.9236 0.000 0.000 0.936 0.060 0.004
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0162 0.9453 0.996 0.000 0.000 0.004 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.2629 0.9338 0.000 0.000 0.136 0.860 0.004
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0162 0.9453 0.996 0.000 0.000 0.004 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 3 0.2609 0.8569 0.068 0.000 0.896 0.028 0.008
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 5 0.4562 0.0517 0.000 0.496 0.000 0.008 0.496
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0404 0.9691 0.000 0.000 0.988 0.000 0.012
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 5 0.2522 0.8482 0.052 0.000 0.000 0.052 0.896
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9455 1.000 0.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0290 0.9711 0.000 0.000 0.992 0.000 0.008
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 5 0.4504 0.2626 0.000 0.428 0.000 0.008 0.564
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 5 0.2729 0.8477 0.060 0.000 0.000 0.056 0.884
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0451 0.9743 0.000 0.000 0.988 0.008 0.004
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0162 0.9450 0.996 0.000 0.000 0.004 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9455 1.000 0.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 5 0.5172 0.5763 0.324 0.000 0.000 0.060 0.616
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0290 0.9591 0.000 0.992 0.000 0.000 0.008
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0324 0.9742 0.000 0.000 0.992 0.004 0.004
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 5 0.2848 0.7237 0.000 0.156 0.000 0.004 0.840
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.1124 0.9242 0.960 0.000 0.000 0.004 0.036
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0451 0.9743 0.000 0.000 0.988 0.008 0.004
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0290 0.9433 0.992 0.000 0.000 0.000 0.008
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0794 0.9581 0.000 0.000 0.972 0.000 0.028
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.2927 0.8451 0.060 0.000 0.000 0.068 0.872
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.4525 0.3813 0.624 0.000 0.000 0.016 0.360
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0162 0.9450 0.996 0.000 0.000 0.004 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 5 0.3641 0.8158 0.120 0.000 0.000 0.060 0.820
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0963 0.9513 0.000 0.000 0.964 0.000 0.036
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0693 0.9392 0.980 0.000 0.000 0.012 0.008
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.1597 0.8506 0.048 0.000 0.000 0.012 0.940
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0912 0.9438 0.000 0.972 0.000 0.012 0.016
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 5 0.5344 0.7153 0.212 0.000 0.032 0.060 0.696
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9455 1.000 0.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0324 0.9742 0.000 0.000 0.992 0.004 0.004
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0451 0.9743 0.000 0.000 0.988 0.008 0.004
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 5 0.5543 0.3444 0.004 0.000 0.376 0.064 0.556
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.1124 0.9227 0.960 0.000 0.000 0.004 0.036
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 3 0.3882 0.6919 0.000 0.168 0.788 0.000 0.044
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.1701 0.8499 0.048 0.000 0.000 0.016 0.936
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.1282 0.9141 0.952 0.000 0.004 0.000 0.044
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0290 0.9449 0.992 0.000 0.000 0.008 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0451 0.9743 0.000 0.000 0.988 0.008 0.004
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 5 0.2798 0.7229 0.000 0.140 0.000 0.008 0.852
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 5 0.2450 0.8104 0.000 0.048 0.000 0.052 0.900
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.9455 1.000 0.000 0.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 5 0.1701 0.8499 0.048 0.000 0.000 0.016 0.936
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
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#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.0162 0.9626 0.000 0.996 0.000 0.004 0.000
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.0000 0.9455 1.000 0.000 0.000 0.000 0.000
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 3 0.0451 0.9743 0.000 0.000 0.988 0.008 0.004
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 3 0.0451 0.9743 0.000 0.000 0.988 0.008 0.004
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 347C4168-42C5-494B-8080-2C244F6201FF 5 0.1357 0.8520 0.048 0.000 0.000 0.004 0.948
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 3 0.1571 0.9236 0.000 0.000 0.936 0.060 0.004
#> 59363737-247E-4524-B7CD-F43B2C861027 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.2825 0.8388 0.860 0.000 0.000 0.016 0.124
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.3906 0.6862 0.000 0.744 0.000 0.016 0.240
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.1282 0.9158 0.952 0.000 0.000 0.004 0.044
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 3 0.2344 0.8870 0.000 0.000 0.904 0.064 0.032
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0162 0.9450 0.996 0.000 0.000 0.004 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.9455 1.000 0.000 0.000 0.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 5 0.3487 0.7467 0.212 0.000 0.000 0.008 0.780
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0162 0.9450 0.996 0.000 0.000 0.004 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.1124 0.9227 0.960 0.000 0.000 0.004 0.036
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.9455 1.000 0.000 0.000 0.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.3759 0.6891 0.764 0.000 0.000 0.016 0.220
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0162 0.9453 0.996 0.000 0.000 0.004 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0404 0.9691 0.000 0.000 0.988 0.000 0.012
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.0451 0.9743 0.000 0.000 0.988 0.008 0.004
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 5 0.1701 0.8499 0.048 0.000 0.000 0.016 0.936
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0451 0.9437 0.988 0.000 0.000 0.008 0.004
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.1430 0.9329 0.000 0.000 0.944 0.052 0.004
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 5 0.1981 0.8518 0.048 0.000 0.000 0.028 0.924
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 5 0.1701 0.8499 0.048 0.000 0.000 0.016 0.936
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 5 0.2546 0.8244 0.012 0.036 0.000 0.048 0.904
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0609 0.9639 0.000 0.000 0.980 0.000 0.020
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.1124 0.9347 0.000 0.960 0.004 0.000 0.036
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0162 0.9453 0.996 0.000 0.000 0.004 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.1386 0.9235 0.952 0.000 0.000 0.016 0.032
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0579 0.9416 0.984 0.000 0.000 0.008 0.008
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.9455 1.000 0.000 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.9455 1.000 0.000 0.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0451 0.9437 0.988 0.000 0.000 0.008 0.004
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0290 0.9449 0.992 0.000 0.000 0.008 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.1282 0.9158 0.952 0.000 0.000 0.004 0.044
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0290 0.9711 0.000 0.000 0.992 0.000 0.008
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0162 0.9450 0.996 0.000 0.000 0.004 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0290 0.9711 0.000 0.000 0.992 0.000 0.008
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0451 0.9430 0.988 0.000 0.000 0.004 0.008
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 5 0.7608 0.2956 0.204 0.000 0.328 0.060 0.408
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0162 0.9453 0.996 0.000 0.000 0.004 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0162 0.9453 0.996 0.000 0.000 0.004 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.0912 0.9365 0.972 0.000 0.000 0.012 0.016
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.1965 0.9025 0.924 0.000 0.000 0.052 0.024
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0162 0.9453 0.996 0.000 0.000 0.004 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0566 0.9399 0.984 0.000 0.000 0.004 0.012
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0162 0.9453 0.996 0.000 0.000 0.004 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 5 0.3912 0.7279 0.228 0.000 0.000 0.020 0.752
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9455 1.000 0.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.2209 0.8931 0.912 0.000 0.000 0.056 0.032
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.4177 0.7140 0.760 0.000 0.200 0.004 0.036
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.1701 0.8499 0.048 0.000 0.000 0.016 0.936
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0451 0.9743 0.000 0.000 0.988 0.008 0.004
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.1408 0.9236 0.000 0.948 0.000 0.008 0.044
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.1597 0.8506 0.048 0.000 0.000 0.012 0.940
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9455 1.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.4331 0.4652 0.000 0.000 0.400 0.596 0.004
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0451 0.9743 0.000 0.000 0.988 0.008 0.004
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0162 0.9450 0.996 0.000 0.000 0.004 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.1484 0.8511 0.048 0.000 0.000 0.008 0.944
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.1430 0.8523 0.052 0.000 0.000 0.004 0.944
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9733 0.000 0.000 1.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0290 0.9711 0.000 0.000 0.992 0.000 0.008
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.2389 0.8419 0.000 0.880 0.116 0.000 0.004
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.4206 0.5761 0.696 0.000 0.000 0.016 0.288
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.2940 0.8029 0.004 0.000 0.048 0.072 0.876
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.7060 0.3955 0.064 0.000 0.552 0.176 0.208
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9455 1.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.3102 0.8390 0.084 0.000 0.000 0.056 0.860
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0290 0.9449 0.992 0.000 0.000 0.008 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.4649 0.4030 0.404 0.000 0.000 0.016 0.580
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0162 0.9453 0.996 0.000 0.000 0.004 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 5 0.4731 0.1916 0.456 0.000 0.000 0.016 0.528
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9455 1.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0404 0.9413 0.988 0.000 0.000 0.000 0.012
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.2514 0.8763 0.896 0.000 0.000 0.044 0.060
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0162 0.9453 0.996 0.000 0.000 0.004 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.1701 0.8499 0.048 0.000 0.000 0.016 0.936
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.4380 0.4885 0.376 0.000 0.000 0.008 0.616
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0566 0.9399 0.984 0.000 0.000 0.004 0.012
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.1701 0.8499 0.048 0.000 0.000 0.016 0.936
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.9650 0.000 1.000 0.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.4854 0.6114 0.308 0.000 0.000 0.044 0.648
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.1197 0.8517 0.048 0.000 0.000 0.000 0.952
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.1851 0.9898 0.000 0.000 0.088 0.912 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0451 0.9743 0.000 0.000 0.988 0.008 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.2250 0.72308 0.000 0.000 0.896 0.000 0.040 0.064
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.91464 1.000 0.000 0.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.3266 0.66537 0.000 0.000 0.272 0.728 0.000 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.91464 1.000 0.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 3 0.4847 0.62910 0.072 0.000 0.588 0.000 0.000 0.340
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.94535 0.000 1.000 0.000 0.000 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.1007 0.90392 0.000 0.956 0.000 0.000 0.044 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0146 0.94262 0.000 0.996 0.000 0.000 0.000 0.004
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.1970 0.85419 0.000 0.900 0.000 0.000 0.008 0.092
#> 6F178361-2A14-4245-8A35-13A0174231E4 5 0.4529 0.09199 0.000 0.460 0.000 0.000 0.508 0.032
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.3847 0.63634 0.000 0.000 0.544 0.000 0.000 0.456
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 5 0.0000 0.66423 0.000 0.000 0.000 0.000 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0363 0.91453 0.988 0.000 0.000 0.000 0.000 0.012
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.3797 0.66623 0.000 0.000 0.580 0.000 0.000 0.420
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 5 0.5327 0.16584 0.000 0.372 0.000 0.000 0.516 0.112
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0937 0.91410 0.000 0.960 0.000 0.000 0.000 0.040
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 5 0.1644 0.64452 0.040 0.000 0.028 0.000 0.932 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.99248 0.000 0.000 0.000 1.000 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.73710 0.000 0.000 1.000 0.000 0.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0713 0.91219 0.972 0.000 0.000 0.000 0.000 0.028
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.1204 0.90213 0.944 0.000 0.000 0.000 0.000 0.056
#> BA285E50-200E-4B98-9F8B-904AD679CD45 5 0.3266 0.44963 0.272 0.000 0.000 0.000 0.728 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.2776 0.80705 0.000 0.860 0.000 0.000 0.052 0.088
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.3198 0.71659 0.000 0.000 0.740 0.000 0.000 0.260
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#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.3050 0.61273 0.000 0.000 0.000 0.000 0.764 0.236
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.91464 1.000 0.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.3647 0.25360 0.000 0.000 0.640 0.360 0.000 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.73710 0.000 0.000 1.000 0.000 0.000 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.94535 0.000 1.000 0.000 0.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.1714 0.88047 0.908 0.000 0.000 0.000 0.000 0.092
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.2527 0.64527 0.000 0.000 0.000 0.000 0.832 0.168
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.0363 0.66671 0.000 0.000 0.000 0.000 0.988 0.012
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.99248 0.000 0.000 0.000 1.000 0.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.3717 0.68949 0.000 0.000 0.616 0.000 0.000 0.384
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.3727 0.68754 0.000 0.000 0.612 0.000 0.000 0.388
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.3934 0.35956 0.000 0.616 0.376 0.000 0.000 0.008
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.4529 0.37783 0.032 0.000 0.000 0.000 0.508 0.460
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.4228 0.45169 0.064 0.000 0.228 0.000 0.708 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.5588 0.12080 0.064 0.000 0.516 0.008 0.392 0.020
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0260 0.94027 0.000 0.992 0.000 0.000 0.000 0.008
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0790 0.91088 0.968 0.000 0.000 0.000 0.000 0.032
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.2491 0.57194 0.164 0.000 0.000 0.000 0.836 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.99248 0.000 0.000 0.000 1.000 0.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.1007 0.90098 0.956 0.000 0.000 0.000 0.000 0.044
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.5654 0.19982 0.404 0.000 0.000 0.000 0.444 0.152
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.91464 1.000 0.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 5 0.5824 0.15520 0.192 0.000 0.000 0.000 0.452 0.356
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.91464 1.000 0.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0458 0.91411 0.984 0.000 0.000 0.000 0.000 0.016
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.1765 0.84343 0.904 0.000 0.000 0.000 0.096 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0146 0.91345 0.996 0.000 0.000 0.000 0.004 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.3706 0.50058 0.000 0.000 0.000 0.000 0.620 0.380
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.4300 0.53046 0.208 0.000 0.000 0.000 0.712 0.080
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.1327 0.89817 0.936 0.000 0.000 0.000 0.000 0.064
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.94535 0.000 1.000 0.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.99248 0.000 0.000 0.000 1.000 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.3727 0.49186 0.000 0.000 0.000 0.000 0.612 0.388
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.94535 0.000 1.000 0.000 0.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.94535 0.000 1.000 0.000 0.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.3175 0.47015 0.256 0.000 0.000 0.000 0.744 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.1075 0.66787 0.000 0.000 0.000 0.000 0.952 0.048
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.99248 0.000 0.000 0.000 1.000 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.73710 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 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 0.395 0.827 0.870 0.4555 0.500 0.500
#> 3 3 0.300 0.753 0.761 0.2195 0.972 0.946
#> 4 4 0.507 0.618 0.752 0.1651 0.900 0.801
#> 5 5 0.610 0.630 0.792 0.0900 0.900 0.756
#> 6 6 0.645 0.620 0.785 0.0678 0.924 0.767
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
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.8499 0.532 0.724 0.276
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.4562 0.887 0.904 0.096
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.5519 0.858 0.128 0.872
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.2236 0.914 0.964 0.036
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.909 1.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.8555 0.772 0.280 0.720
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.8499 0.782 0.276 0.724
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.9815 0.453 0.420 0.580
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.2236 0.836 0.036 0.964
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.9993 0.220 0.484 0.516
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.8267 0.809 0.260 0.740
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0672 0.912 0.992 0.008
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.1184 0.897 0.984 0.016
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.8267 0.809 0.260 0.740
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 1 0.9881 0.115 0.564 0.436
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.5519 0.857 0.128 0.872
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.909 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0376 0.818 0.004 0.996
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 2 0.8443 0.798 0.272 0.728
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.1184 0.897 0.984 0.016
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0938 0.913 0.988 0.012
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.909 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.8386 0.774 0.268 0.732
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.8555 0.521 0.720 0.280
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 1 1.0000 -0.158 0.504 0.496
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.4815 0.876 0.896 0.104
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.8499 0.794 0.276 0.724
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.3114 0.845 0.056 0.944
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.8327 0.792 0.264 0.736
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.5842 0.858 0.140 0.860
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0376 0.911 0.996 0.004
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.3733 0.842 0.072 0.928
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.1633 0.833 0.024 0.976
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.5946 0.858 0.144 0.856
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.8267 0.809 0.260 0.740
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.7056 0.793 0.808 0.192
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.2778 0.910 0.952 0.048
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.1184 0.897 0.984 0.016
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0376 0.818 0.004 0.996
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0672 0.912 0.992 0.008
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.2423 0.837 0.040 0.960
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.8267 0.809 0.260 0.740
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.2603 0.911 0.956 0.044
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.4690 0.878 0.900 0.100
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.8327 0.792 0.264 0.736
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.1184 0.914 0.984 0.016
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.1414 0.915 0.980 0.020
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.3274 0.840 0.060 0.940
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.8443 0.798 0.272 0.728
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.8499 0.794 0.276 0.724
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.1184 0.914 0.984 0.016
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.1633 0.915 0.976 0.024
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.6247 0.857 0.156 0.844
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.3114 0.906 0.944 0.056
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.4815 0.876 0.896 0.104
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.1843 0.834 0.028 0.972
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.0376 0.818 0.004 0.996
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.1843 0.915 0.972 0.028
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 2 0.8443 0.798 0.272 0.728
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 1 0.9815 0.214 0.580 0.420
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 1 0.9881 0.115 0.564 0.436
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.3733 0.899 0.928 0.072
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.7745 0.745 0.772 0.228
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.0376 0.818 0.004 0.996
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.4431 0.885 0.908 0.092
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.1184 0.914 0.984 0.016
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.4431 0.887 0.908 0.092
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.7602 0.747 0.780 0.220
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.0376 0.818 0.004 0.996
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.8499 0.637 0.724 0.276
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.5737 0.857 0.136 0.864
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.909 1.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 2 0.8499 0.794 0.276 0.724
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.3114 0.908 0.944 0.056
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.8144 0.797 0.252 0.748
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.1633 0.915 0.976 0.024
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.7745 0.740 0.772 0.228
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 1 0.7219 0.757 0.800 0.200
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.4690 0.878 0.900 0.100
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 2 0.8443 0.798 0.272 0.728
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.909 1.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.6438 0.855 0.164 0.836
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.909 1.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.909 1.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 2 0.8267 0.809 0.260 0.740
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.909 1.000 0.000
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#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.2423 0.840 0.040 0.960
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.2778 0.910 0.952 0.048
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.2603 0.911 0.956 0.044
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.4022 0.894 0.920 0.080
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.0376 0.818 0.004 0.996
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 2 0.8267 0.809 0.260 0.740
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 2 0.8386 0.803 0.268 0.732
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.7139 0.848 0.196 0.804
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.8386 0.659 0.732 0.268
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.1184 0.914 0.984 0.016
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.1184 0.914 0.984 0.016
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.2423 0.837 0.040 0.960
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.1633 0.915 0.976 0.024
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.1414 0.914 0.980 0.020
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.0376 0.818 0.004 0.996
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.4298 0.890 0.912 0.088
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.7745 0.745 0.772 0.228
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.1184 0.914 0.984 0.016
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.2236 0.913 0.964 0.036
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.2043 0.914 0.968 0.032
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.1184 0.914 0.984 0.016
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.909 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.909 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.3431 0.904 0.936 0.064
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.7139 0.779 0.804 0.196
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.3431 0.903 0.936 0.064
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.5842 0.857 0.140 0.860
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0376 0.818 0.004 0.996
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.2423 0.912 0.960 0.040
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.6531 0.854 0.168 0.832
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.7815 0.823 0.232 0.768
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.4022 0.894 0.920 0.080
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.4298 0.888 0.912 0.088
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.0376 0.818 0.004 0.996
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.8443 0.798 0.272 0.728
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.9086 0.3424 0.552 0.220 NA
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.4479 0.8562 0.860 0.096 NA
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.8345 0.7080 0.116 0.596 NA
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.2116 0.8809 0.948 0.040 NA
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0424 0.8745 0.992 0.000 NA
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.7192 0.7272 0.164 0.716 NA
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.7396 0.7314 0.152 0.704 NA
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.9247 0.4964 0.276 0.524 NA
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.3610 0.7626 0.016 0.888 NA
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.9836 0.3220 0.312 0.420 NA
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.8310 0.7201 0.184 0.632 NA
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.3459 0.8586 0.892 0.012 NA
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.5138 0.6903 0.748 0.000 NA
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.8310 0.7201 0.184 0.632 NA
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.9986 0.1367 0.340 0.352 NA
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.5153 0.7788 0.100 0.832 NA
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0747 0.8758 0.984 0.000 NA
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.6062 0.6333 0.000 0.616 NA
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 2 0.8440 0.7100 0.196 0.620 NA
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.5098 0.6917 0.752 0.000 NA
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.1620 0.8814 0.964 0.012 NA
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.1315 0.8790 0.972 0.008 NA
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.7766 0.7121 0.176 0.676 NA
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.9119 0.3295 0.548 0.224 NA
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.9852 0.3174 0.292 0.420 NA
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.5042 0.8342 0.836 0.104 NA
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.8437 0.7083 0.200 0.620 NA
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.3375 0.7751 0.044 0.908 NA
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.7221 0.7345 0.148 0.716 NA
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.4342 0.7790 0.120 0.856 NA
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0848 0.8792 0.984 0.008 NA
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.3973 0.7693 0.032 0.880 NA
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.2804 0.7625 0.016 0.924 NA
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.4446 0.7798 0.112 0.856 NA
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.8310 0.7201 0.184 0.632 NA
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.8779 0.6170 0.576 0.164 NA
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.3148 0.8782 0.916 0.048 NA
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.5138 0.6903 0.748 0.000 NA
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.6062 0.6333 0.000 0.616 NA
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.3539 0.8569 0.888 0.012 NA
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.3610 0.7625 0.016 0.888 NA
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.8310 0.7201 0.184 0.632 NA
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.2793 0.8791 0.928 0.044 NA
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.6526 0.8045 0.760 0.112 NA
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.7221 0.7345 0.148 0.716 NA
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.5269 0.7991 0.784 0.016 NA
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.1453 0.8805 0.968 0.024 NA
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.4068 0.7637 0.016 0.864 NA
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.8484 0.7086 0.196 0.616 NA
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.8437 0.7083 0.200 0.620 NA
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.5269 0.7991 0.784 0.016 NA
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.2050 0.8811 0.952 0.028 NA
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.6448 0.7832 0.104 0.764 NA
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.4945 0.8498 0.840 0.056 NA
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.5042 0.8342 0.836 0.104 NA
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.3272 0.7626 0.016 0.904 NA
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.6062 0.6333 0.000 0.616 NA
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.1525 0.8819 0.964 0.032 NA
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 2 0.8440 0.7100 0.196 0.620 NA
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 1 0.9990 -0.0435 0.348 0.340 NA
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.9986 0.1367 0.340 0.352 NA
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.4658 0.8531 0.856 0.076 NA
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.8688 0.6011 0.596 0.208 NA
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.6062 0.6333 0.000 0.616 NA
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.6243 0.8159 0.776 0.100 NA
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.1774 0.8813 0.960 0.016 NA
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.4505 0.8504 0.860 0.092 NA
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.8437 0.6227 0.620 0.200 NA
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.6062 0.6333 0.000 0.616 NA
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.8421 0.5488 0.608 0.252 NA
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.4209 0.7789 0.120 0.860 NA
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0237 0.8747 0.996 0.000 NA
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 2 0.8437 0.7083 0.200 0.620 NA
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.3009 0.8743 0.920 0.052 NA
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.7309 0.7327 0.168 0.708 NA
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.1751 0.8817 0.960 0.028 NA
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.9187 0.5408 0.532 0.196 NA
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 1 0.8726 0.5934 0.564 0.140 NA
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.6526 0.8045 0.760 0.112 NA
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 2 0.8484 0.7086 0.196 0.616 NA
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0237 0.8747 0.996 0.000 NA
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.4964 0.7764 0.116 0.836 NA
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0747 0.8785 0.984 0.000 NA
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0592 0.8749 0.988 0.000 NA
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 2 0.8310 0.7201 0.184 0.632 NA
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0747 0.8758 0.984 0.000 NA
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 2 0.6062 0.6333 0.000 0.616 NA
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.7927 0.6843 0.176 0.664 NA
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.4914 0.8509 0.844 0.088 NA
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.4232 0.8566 0.872 0.084 NA
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.1031 0.8757 0.976 0.000 NA
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.2903 0.8764 0.924 0.048 NA
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.6062 0.6333 0.000 0.616 NA
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.6045 0.6355 0.000 0.620 NA
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0747 0.8758 0.984 0.000 NA
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.9986 0.1367 0.340 0.352 NA
#> E3671E10-825D-499B-B949-D5033855C744 1 0.3148 0.8782 0.916 0.048 NA
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.4609 0.8566 0.856 0.052 NA
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.3359 0.7670 0.016 0.900 NA
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 2 0.8310 0.7201 0.184 0.632 NA
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.4609 0.8478 0.856 0.092 NA
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.4058 0.8611 0.880 0.076 NA
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.3752 0.7689 0.020 0.884 NA
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.4868 0.8394 0.844 0.100 NA
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 2 0.8310 0.7201 0.184 0.632 NA
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0747 0.8758 0.984 0.000 NA
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.4269 0.7785 0.052 0.872 NA
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.7978 0.6827 0.176 0.660 NA
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.7097 0.7078 0.148 0.724 NA
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 2 0.7042 0.7728 0.140 0.728 NA
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.2743 0.7689 0.020 0.928 NA
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.7975 0.7220 0.656 0.140 NA
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.5998 0.7656 0.128 0.788 NA
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.5098 0.6917 0.752 0.000 NA
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.2681 0.8798 0.932 0.040 NA
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.6157 0.7623 0.128 0.780 NA
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0237 0.8747 0.996 0.000 NA
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.6448 0.7832 0.104 0.764 NA
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.6243 0.8169 0.776 0.100 NA
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.3415 0.7644 0.020 0.900 NA
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 2 0.8310 0.7201 0.184 0.632 NA
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.2383 0.8799 0.940 0.044 NA
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.5137 0.8317 0.832 0.104 NA
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.1774 0.8805 0.960 0.024 NA
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 2 0.6918 0.7747 0.136 0.736 NA
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.2804 0.7625 0.016 0.924 NA
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 2 0.8353 0.7159 0.192 0.628 NA
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.1015 0.8788 0.980 0.008 NA
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.2804 0.7625 0.016 0.924 NA
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0237 0.8747 0.996 0.000 NA
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 2 0.8437 0.7083 0.200 0.620 NA
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 2 0.6062 0.6333 0.000 0.616 NA
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.7221 0.7394 0.148 0.716 NA
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.4342 0.7790 0.120 0.856 NA
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.2903 0.8763 0.924 0.048 NA
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 2 0.8310 0.7201 0.184 0.632 NA
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 1 0.8688 0.6046 0.596 0.208 NA
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.2804 0.7625 0.016 0.924 NA
#> 4C15BE7F-B855-4670-9E38-0A626527D981 2 0.8310 0.7201 0.184 0.632 NA
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.5105 0.7769 0.124 0.828 NA
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.0592 0.8751 0.988 0.000 NA
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 2 0.7281 0.7319 0.148 0.712 NA
#> 0CE75D6A-B796-4982-9405-1602F9468945 1 0.2772 0.8669 0.916 0.004 NA
#> EAB94BCC-7CF2-462C-87A2-7B464BADA4AC 1 0.1877 0.8817 0.956 0.032 NA
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#> 809839A7-A175-48AA-809E-5E4C99894CDE 1 0.2681 0.8783 0.932 0.040 NA
#> 6213FA46-BBBC-48EB-B7B9-D1D99FE55859 1 0.0892 0.8777 0.980 0.000 NA
#> 2F5CBE2E-A7EE-4DA0-A0CD-1347086E139B 1 0.1905 0.8811 0.956 0.016 NA
#> 56358A3C-9BE0-4E69-988C-C66538079C19 2 0.6431 0.7486 0.156 0.760 NA
#> 139EC04C-0DC9-456E-91C8-AEF139E9370B 1 0.5105 0.8461 0.828 0.048 NA
#> 62B120E7-E585-46C5-BED3-DBFB17C489A9 2 0.3325 0.7699 0.020 0.904 NA
#> 693691F1-202D-43D1-BD57-D5BCC657DB1D 1 0.0983 0.8798 0.980 0.016 NA
#> 47740C2A-1CB0-48DE-AC91-668D26C3EDE3 2 0.8310 0.7201 0.184 0.632 NA
#> 9680E812-7F99-42AF-B8B8-415B5243F594 2 0.6062 0.6333 0.000 0.616 NA
#> DA772E38-FD97-4E03-A660-634DC499551C 1 0.3129 0.8645 0.904 0.008 NA
#> A956F833-50D9-49E0-92BC-FA765E556536 2 0.4280 0.7778 0.124 0.856 NA
#> D7A37A60-2DE1-4C33-AE21-A300AAB90AF6 1 0.2926 0.8805 0.924 0.040 NA
#> ADE8E489-7FB1-4A3D-B0DB-6D2B3CFDEE35 1 0.3539 0.8569 0.888 0.012 NA
#> 50B7C59D-ECB0-44C1-B350-01CB48AE1C0A 1 0.4818 0.8535 0.844 0.048 NA
#> 29F60AF8-CE42-4025-8A48-CAD9EB011A0E 1 0.2229 0.8823 0.944 0.044 NA
#> D2265922-C650-4648-B888-C39D306AC21F 2 0.6062 0.6333 0.000 0.616 NA
#> 39E585E6-19F6-4767-BACF-1E7C73C1A1ED 1 0.8527 0.6370 0.612 0.196 NA
#> BA1B4D2D-549E-4D88-BA99-968D79B325B6 1 0.0983 0.8798 0.980 0.016 NA
#> 0497195D-372B-47A6-95D7-1CF3E5D0EBC3 2 0.4068 0.7637 0.016 0.864 NA
#> 979D8EDA-9FC5-44F1-9A4B-B4B4E0334E71 1 0.9921 0.1077 0.396 0.296 NA
#> 01EAF933-A083-47C2-A015-9C6CD8CEC520 1 0.3028 0.8783 0.920 0.048 NA
#> BCCAE932-7C2D-47CD-89C1-1A1886F9D2A5 1 0.4146 0.8665 0.876 0.044 NA
#> 6F7E9F0D-164E-4696-A353-18D379AA4EF7 1 0.2982 0.8781 0.920 0.056 NA
#> B7D1197D-B353-4839-A895-368613243FB7 1 0.1267 0.8809 0.972 0.024 NA
#> ACCEC75A-8EDF-4D83-97DE-BD30FACAC774 2 0.4413 0.7783 0.124 0.852 NA
#> 4087D782-4CB8-4A7F-AE4B-665BADA410B8 2 0.2743 0.7689 0.020 0.928 NA
#> 0C4131D9-0CE6-4476-80F1-3B69B777B658 2 0.6062 0.6333 0.000 0.616 NA
#> 54092E76-4C27-4A4B-8348-8748FCE728A6 1 0.1636 0.8814 0.964 0.016 NA
#> E0353276-F075-43F3-BB95-3AA315D40505 2 0.4676 0.7800 0.112 0.848 NA
#> 580F828B-2333-48F7-BA05-E9B6EF1AA3D5 1 0.1491 0.8824 0.968 0.016 NA
#> C051D793-4538-4D76-BFC2-0C08EAA57371 1 0.4902 0.8395 0.844 0.092 NA
#> 50893EF9-5D78-4731-B614-8E7F4AC5FA5F 1 0.0747 0.8758 0.984 0.000 NA
#> F235BBBB-4364-4BEE-88C8-9075208D1B96 1 0.9086 0.3424 0.552 0.220 NA
#> 73A25F6E-99C8-4C55-9E6C-8457BE8E44C0 2 0.6448 0.7832 0.104 0.764 NA
#> 4C7213E4-7845-49FC-924A-2BC7A7AEB519 2 0.8310 0.7201 0.184 0.632 NA
#> B8E40A95-9DF7-4EEE-B7D9-D17FA6B8AB2C 1 0.4369 0.8572 0.864 0.096 NA
#> 766E5BEF-D5FC-4C60-831C-88667F858375 2 0.3445 0.7621 0.016 0.896 NA
#> 31110A59-6DD4-4EDD-A056-C45DBC8966CC 1 0.2066 0.8708 0.940 0.000 NA
#> 0816836B-3F01-45BC-A843-00867E98FAD7 2 0.4280 0.7778 0.124 0.856 NA
#> 708F24EB-4551-4A3F-8E59-FA76ABE305D7 1 0.3539 0.8569 0.888 0.012 NA
#> 6EF22E72-6FCD-4645-8E8A-F6F117387082 1 0.3539 0.8569 0.888 0.012 NA
#> 680DFFFE-43F3-4A48-A662-FFE89FB43B04 1 0.1877 0.8817 0.956 0.032 NA
#> 4BB7CD09-ECE2-4774-B82C-949B6558C4D2 2 0.8374 0.5577 0.240 0.616 NA
#> 10E55344-362E-4982-B9EF-BE428086D27E 2 0.8437 0.7083 0.200 0.620 NA
#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 2 0.7192 0.7272 0.164 0.716 NA
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.3539 0.8569 0.888 0.012 NA
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 1 0.9921 0.1077 0.396 0.296 NA
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.1182 0.8798 0.976 0.012 NA
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.3973 0.7693 0.032 0.880 NA
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 2 0.6062 0.6333 0.000 0.616 NA
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.4058 0.8611 0.880 0.076 NA
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 2 0.8440 0.7100 0.196 0.620 NA
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 2 0.6062 0.6333 0.000 0.616 NA
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 2 0.8440 0.7100 0.196 0.620 NA
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.3272 0.7626 0.016 0.904 NA
#> 347C4168-42C5-494B-8080-2C244F6201FF 1 0.8649 0.6139 0.600 0.204 NA
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.2804 0.7625 0.016 0.924 NA
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 1 0.8913 0.3969 0.572 0.208 NA
#> 59363737-247E-4524-B7CD-F43B2C861027 2 0.6062 0.6333 0.000 0.616 NA
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 2 0.9937 0.4165 0.296 0.388 NA
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.3148 0.8782 0.916 0.048 NA
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 2 0.6062 0.6333 0.000 0.616 NA
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.6918 0.7747 0.136 0.736 NA
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 2 0.6062 0.6333 0.000 0.616 NA
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.4964 0.7794 0.116 0.836 NA
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 2 0.8345 0.7080 0.116 0.596 NA
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.3237 0.8738 0.912 0.056 NA
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.5269 0.7991 0.784 0.016 NA
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.2903 0.8798 0.924 0.048 NA
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.1905 0.8812 0.956 0.016 NA
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.4280 0.7778 0.124 0.856 NA
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.7245 0.7409 0.712 0.120 NA
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0592 0.8751 0.988 0.000 NA
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.2050 0.8811 0.952 0.028 NA
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.1491 0.8818 0.968 0.016 NA
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0892 0.8761 0.980 0.000 NA
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.1453 0.8813 0.968 0.024 NA
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.4209 0.7789 0.120 0.860 NA
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.3769 0.7630 0.016 0.880 NA
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 2 0.8310 0.7201 0.184 0.632 NA
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.3528 0.7660 0.016 0.892 NA
#> 36B38256-6879-49C3-94CC-5022F02D1561 2 0.8437 0.7083 0.200 0.620 NA
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.4165 0.8676 0.876 0.048 NA
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.3918 0.7788 0.120 0.868 NA
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0892 0.8813 0.980 0.020 NA
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 1 0.9086 0.3424 0.552 0.220 NA
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.2200 0.8791 0.940 0.004 NA
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.3993 0.8711 0.884 0.064 NA
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.5138 0.7815 0.120 0.828 NA
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.7978 0.7407 0.164 0.660 NA
#> B9009D40-10AC-48B3-9495-865BCE904CB1 2 0.8353 0.7159 0.192 0.628 NA
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.3272 0.7626 0.016 0.904 NA
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0237 0.8747 0.996 0.000 NA
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.2434 0.8809 0.940 0.036 NA
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0747 0.8758 0.984 0.000 NA
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.1774 0.8814 0.960 0.024 NA
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.1491 0.8815 0.968 0.016 NA
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 2 0.6062 0.6333 0.000 0.616 NA
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.2636 0.8814 0.932 0.048 NA
#> ACE0493F-E7CD-47FB-91E1-25393C512001 2 0.9937 0.4165 0.296 0.388 NA
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.5138 0.6903 0.748 0.000 NA
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.2804 0.7625 0.016 0.924 NA
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.5212 0.8281 0.828 0.108 NA
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.7042 0.7728 0.140 0.728 NA
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 2 0.8353 0.7159 0.192 0.628 NA
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.2804 0.7625 0.016 0.924 NA
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.2804 0.7625 0.016 0.924 NA
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.5608 0.7743 0.120 0.808 NA
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.5138 0.6903 0.748 0.000 NA
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 2 0.8310 0.7201 0.184 0.632 NA
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0592 0.8751 0.988 0.000 NA
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.5269 0.7991 0.784 0.016 NA
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.4370 0.8620 0.868 0.076 NA
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0892 0.8813 0.980 0.020 NA
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.4964 0.7764 0.116 0.836 NA
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.3272 0.7626 0.016 0.904 NA
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.6062 0.6333 0.000 0.616 NA
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.9193 0.2761 0.480 0.364 NA
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.3375 0.7758 0.044 0.908 NA
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0829 0.8767 0.984 0.004 NA
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.1491 0.8818 0.968 0.016 NA
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.7192 0.7272 0.164 0.716 NA
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.6231 0.7575 0.148 0.772 NA
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.7102 0.7750 0.132 0.724 NA
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.6500 0.7588 0.140 0.760 NA
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.4423 0.8532 0.864 0.088 NA
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0237 0.8747 0.996 0.000 NA
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.5961 0.8281 0.792 0.096 NA
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0592 0.8754 0.988 0.000 NA
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0747 0.8758 0.984 0.000 NA
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0424 0.8745 0.992 0.000 NA
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.4370 0.8632 0.868 0.056 NA
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.8437 0.7083 0.200 0.620 NA
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.3415 0.7644 0.020 0.900 NA
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.4280 0.7778 0.124 0.856 NA
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.8726 0.5934 0.564 0.140 NA
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.1453 0.8813 0.968 0.024 NA
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.8345 0.7080 0.116 0.596 NA
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 2 0.8437 0.7083 0.200 0.620 NA
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.3213 0.7687 0.028 0.912 NA
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.2903 0.8785 0.924 0.048 NA
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.4146 0.8665 0.876 0.044 NA
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.5722 0.8282 0.804 0.084 NA
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.6062 0.6333 0.000 0.616 NA
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 2 0.8310 0.7201 0.184 0.632 NA
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 2 0.8353 0.7159 0.192 0.628 NA
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.7160 0.7741 0.132 0.720 NA
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.8716 0.5398 0.588 0.240 NA
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.5269 0.7991 0.784 0.016 NA
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.5269 0.7991 0.784 0.016 NA
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.3610 0.7625 0.016 0.888 NA
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.1905 0.8814 0.956 0.028 NA
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.2031 0.8788 0.952 0.016 NA
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.6062 0.6333 0.000 0.616 NA
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.4914 0.8421 0.844 0.088 NA
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.8688 0.6046 0.596 0.208 NA
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.1482 0.8818 0.968 0.020 NA
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.2564 0.8812 0.936 0.036 NA
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.1999 0.8811 0.952 0.036 NA
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.1482 0.8818 0.968 0.020 NA
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0747 0.8752 0.984 0.000 NA
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0237 0.8747 0.996 0.000 NA
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.3780 0.8725 0.892 0.064 NA
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.8310 0.6509 0.632 0.184 NA
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.3764 0.8661 0.892 0.068 NA
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.4413 0.7783 0.124 0.852 NA
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.6062 0.6333 0.000 0.616 NA
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.3267 0.8785 0.912 0.044 NA
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.5138 0.7759 0.120 0.828 NA
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.6546 0.7516 0.148 0.756 NA
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.5012 0.8500 0.840 0.080 NA
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.6309 0.8147 0.772 0.100 NA
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.6062 0.6333 0.000 0.616 NA
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.8440 0.7100 0.196 0.620 NA
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.8612 -0.2545 0.460 0.156 0.316 0.068
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.3781 0.7475 0.844 0.028 0.124 0.004
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.6106 0.5408 0.052 0.288 0.012 0.648
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.1854 0.7926 0.940 0.012 0.048 0.000
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#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.2281 0.9028 0.000 0.096 0.000 0.904
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.2714 0.7678 0.884 0.004 0.112 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.3285 0.6817 0.052 0.892 0.032 0.024
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.4077 0.6512 0.072 0.848 0.068 0.012
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.4019 0.6942 0.792 0.012 0.196 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.4933 0.5605 0.688 0.016 0.296 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.2281 0.9028 0.000 0.096 0.000 0.904
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.8508 0.5458 0.100 0.540 0.168 0.192
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.6570 -0.33971 0.388 0.000 0.408 0.000 0.204
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.3257 0.76279 0.844 0.028 0.000 0.004 0.124
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.4404 0.55280 0.000 0.024 0.292 0.684 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.1605 0.80202 0.944 0.012 0.000 0.004 0.040
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0703 0.79617 0.976 0.000 0.000 0.000 0.024
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.6779 0.58445 0.028 0.492 0.380 0.016 0.084
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.6183 0.62264 0.020 0.572 0.304 0.000 0.104
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.8695 0.26224 0.068 0.388 0.256 0.056 0.232
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.3642 0.70755 0.000 0.820 0.144 0.016 0.020
#> 6F178361-2A14-4245-8A35-13A0174231E4 5 0.9454 0.19579 0.084 0.248 0.244 0.128 0.296
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0854 0.78080 0.008 0.012 0.976 0.004 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.3143 0.67715 0.796 0.000 0.000 0.000 0.204
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.4491 0.42099 0.692 0.024 0.004 0.000 0.280
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0854 0.78080 0.008 0.012 0.976 0.004 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 5 0.9371 0.50683 0.112 0.180 0.196 0.132 0.380
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.5588 0.71231 0.020 0.628 0.308 0.016 0.028
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.1121 0.79360 0.956 0.000 0.000 0.000 0.044
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0290 0.90047 0.000 0.000 0.008 0.992 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0740 0.78332 0.008 0.000 0.980 0.008 0.004
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.4360 0.42361 0.692 0.024 0.000 0.000 0.284
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.1205 0.80442 0.956 0.000 0.004 0.000 0.040
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.1608 0.79866 0.928 0.000 0.000 0.000 0.072
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.7799 0.54696 0.040 0.488 0.292 0.052 0.128
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.6552 -0.33583 0.388 0.000 0.412 0.000 0.200
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 5 0.9294 0.47304 0.128 0.264 0.120 0.124 0.364
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.4426 0.70162 0.792 0.072 0.016 0.004 0.116
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0867 0.78332 0.008 0.000 0.976 0.008 0.008
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.4527 0.72152 0.000 0.696 0.272 0.028 0.004
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.6085 0.59446 0.016 0.528 0.372 0.000 0.084
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.4984 0.68944 0.000 0.588 0.380 0.028 0.004
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0833 0.80151 0.976 0.004 0.000 0.004 0.016
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.4281 0.72303 0.004 0.772 0.184 0.016 0.024
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.4066 0.71428 0.000 0.768 0.196 0.032 0.004
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.4810 0.67873 0.000 0.580 0.400 0.008 0.012
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0854 0.78080 0.008 0.012 0.976 0.004 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.5836 0.52268 0.328 0.100 0.000 0.004 0.568
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.2177 0.79106 0.908 0.008 0.004 0.000 0.080
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.4491 0.42099 0.692 0.024 0.004 0.000 0.280
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0290 0.90047 0.000 0.000 0.008 0.992 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.3210 0.65637 0.788 0.000 0.000 0.000 0.212
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.3732 0.70773 0.000 0.816 0.144 0.016 0.024
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0854 0.78080 0.008 0.012 0.976 0.004 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.1864 0.79494 0.924 0.004 0.004 0.000 0.068
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.4264 0.45775 0.620 0.004 0.000 0.000 0.376
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.6085 0.59446 0.016 0.528 0.372 0.000 0.084
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.5549 -0.20134 0.476 0.004 0.056 0.000 0.464
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0794 0.80315 0.972 0.000 0.000 0.000 0.028
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.3284 0.70260 0.000 0.828 0.148 0.000 0.024
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0613 0.78309 0.008 0.000 0.984 0.004 0.004
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0867 0.78332 0.008 0.000 0.976 0.008 0.008
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.5549 -0.20134 0.476 0.004 0.056 0.000 0.464
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.1518 0.80013 0.944 0.004 0.000 0.004 0.048
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 3 0.5582 -0.39746 0.000 0.452 0.492 0.012 0.044
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.3790 0.61221 0.724 0.004 0.000 0.000 0.272
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.4426 0.70162 0.792 0.072 0.016 0.004 0.116
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.3573 0.71622 0.000 0.816 0.156 0.016 0.012
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0290 0.90047 0.000 0.000 0.008 0.992 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.1412 0.80428 0.952 0.008 0.000 0.004 0.036
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0740 0.78332 0.008 0.000 0.980 0.008 0.004
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 5 0.8084 0.63288 0.220 0.208 0.004 0.124 0.444
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 5 0.9371 0.50683 0.112 0.180 0.196 0.132 0.380
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.4059 0.71943 0.808 0.068 0.012 0.000 0.112
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.6738 -0.15732 0.460 0.160 0.016 0.000 0.364
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0290 0.90047 0.000 0.000 0.008 0.992 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.4166 0.51211 0.648 0.004 0.000 0.000 0.348
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.1843 0.80360 0.936 0.012 0.004 0.004 0.044
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.3814 0.73794 0.828 0.056 0.008 0.004 0.104
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.6688 -0.00441 0.500 0.168 0.016 0.000 0.316
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0290 0.90047 0.000 0.000 0.008 0.992 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.6996 0.13379 0.544 0.244 0.040 0.004 0.168
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.5143 0.65554 0.000 0.544 0.420 0.032 0.004
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0510 0.79688 0.984 0.000 0.000 0.000 0.016
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0867 0.78332 0.008 0.000 0.976 0.008 0.008
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.2304 0.79091 0.908 0.020 0.000 0.004 0.068
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.6156 0.61325 0.032 0.560 0.336 0.000 0.072
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.1282 0.80229 0.952 0.000 0.000 0.004 0.044
#> D209EAAE-2A01-4CD4-9987-272F17352574 5 0.6281 0.54899 0.312 0.124 0.008 0.004 0.552
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 5 0.5751 0.60302 0.292 0.020 0.000 0.072 0.616
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.4264 0.45775 0.620 0.004 0.000 0.000 0.376
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0613 0.78309 0.008 0.000 0.984 0.004 0.004
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0609 0.79661 0.980 0.000 0.000 0.000 0.020
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.4837 0.69796 0.000 0.604 0.372 0.012 0.012
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.1026 0.80230 0.968 0.004 0.000 0.004 0.024
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0963 0.79683 0.964 0.000 0.000 0.000 0.036
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0854 0.78080 0.008 0.012 0.976 0.004 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.1121 0.79360 0.956 0.000 0.000 0.000 0.044
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.0290 0.90047 0.000 0.000 0.008 0.992 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.6913 0.53816 0.040 0.512 0.304 0.000 0.144
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.3430 0.70334 0.776 0.004 0.000 0.000 0.220
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.3534 0.75808 0.848 0.040 0.012 0.004 0.096
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.1341 0.79553 0.944 0.000 0.000 0.000 0.056
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.2451 0.79053 0.904 0.012 0.008 0.004 0.072
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.0290 0.90047 0.000 0.000 0.008 0.992 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.0566 0.89131 0.000 0.004 0.012 0.984 0.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.1121 0.79360 0.956 0.000 0.000 0.000 0.044
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 5 0.9371 0.50683 0.112 0.180 0.196 0.132 0.380
#> E3671E10-825D-499B-B949-D5033855C744 1 0.2177 0.79106 0.908 0.008 0.004 0.000 0.080
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.3461 0.67237 0.772 0.004 0.000 0.000 0.224
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.3512 0.72285 0.000 0.816 0.160 0.012 0.012
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0854 0.78080 0.008 0.012 0.976 0.004 0.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.4002 0.72530 0.820 0.064 0.012 0.004 0.100
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.3319 0.76515 0.856 0.032 0.008 0.004 0.100
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.3163 0.72232 0.000 0.824 0.164 0.000 0.012
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.4216 0.71418 0.804 0.068 0.012 0.004 0.112
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0854 0.78080 0.008 0.012 0.976 0.004 0.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.1121 0.79360 0.956 0.000 0.000 0.000 0.044
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.4190 0.73481 0.000 0.724 0.256 0.008 0.012
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.6944 0.53325 0.040 0.508 0.304 0.000 0.148
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.6488 0.51195 0.096 0.656 0.144 0.008 0.096
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 3 0.5694 -0.25920 0.004 0.384 0.552 0.012 0.048
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.3880 0.72667 0.000 0.772 0.204 0.020 0.004
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 5 0.5607 0.29323 0.408 0.064 0.000 0.004 0.524
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.5419 0.68279 0.004 0.580 0.372 0.016 0.028
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.4360 0.42361 0.692 0.024 0.000 0.000 0.284
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.1798 0.79573 0.928 0.004 0.004 0.000 0.064
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.5659 0.68436 0.004 0.584 0.344 0.008 0.060
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0510 0.79688 0.984 0.000 0.000 0.000 0.016
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 3 0.5639 -0.39087 0.000 0.448 0.492 0.012 0.048
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.4182 0.51287 0.644 0.004 0.000 0.000 0.352
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.3653 0.71986 0.000 0.808 0.164 0.016 0.012
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.0854 0.78080 0.008 0.012 0.976 0.004 0.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.2032 0.79920 0.924 0.020 0.000 0.004 0.052
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.4393 0.69806 0.792 0.080 0.012 0.004 0.112
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0963 0.80249 0.964 0.000 0.000 0.000 0.036
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 3 0.5666 -0.30756 0.004 0.400 0.540 0.012 0.044
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.4066 0.71428 0.000 0.768 0.196 0.032 0.004
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 3 0.0912 0.77638 0.016 0.012 0.972 0.000 0.000
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0771 0.80260 0.976 0.004 0.000 0.000 0.020
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.4066 0.71428 0.000 0.768 0.196 0.032 0.004
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0510 0.79688 0.984 0.000 0.000 0.000 0.016
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 3 0.0867 0.78332 0.008 0.000 0.976 0.008 0.008
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 4 0.0290 0.90047 0.000 0.000 0.008 0.992 0.000
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.6086 0.63433 0.020 0.556 0.340 0.000 0.084
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.4984 0.68944 0.000 0.588 0.380 0.028 0.004
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.2301 0.79307 0.912 0.016 0.004 0.004 0.064
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 3 0.0854 0.78080 0.008 0.012 0.976 0.004 0.000
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 1 0.6732 -0.13428 0.464 0.160 0.016 0.000 0.360
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.4066 0.71428 0.000 0.768 0.196 0.032 0.004
#> 4C15BE7F-B855-4670-9E38-0A626527D981 3 0.0854 0.78080 0.008 0.012 0.976 0.004 0.000
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.5261 0.66612 0.004 0.552 0.412 0.012 0.020
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.1043 0.79551 0.960 0.000 0.000 0.000 0.040
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 2 0.6126 0.60264 0.016 0.540 0.352 0.000 0.092
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#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 3 0.6774 0.13310 0.004 0.216 0.576 0.168 0.036
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.5448 0.66680 0.016 0.584 0.360 0.000 0.040
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.3714 0.74781 0.836 0.044 0.012 0.004 0.104
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0510 0.79688 0.984 0.000 0.000 0.000 0.016
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.4066 0.57427 0.672 0.004 0.000 0.000 0.324
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0404 0.79930 0.988 0.000 0.000 0.000 0.012
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.1121 0.79360 0.956 0.000 0.000 0.000 0.044
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0703 0.79617 0.976 0.000 0.000 0.000 0.024
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.3612 0.67303 0.764 0.008 0.000 0.000 0.228
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0867 0.78332 0.008 0.000 0.976 0.008 0.008
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.3754 0.71891 0.000 0.804 0.164 0.016 0.016
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.5166 0.63948 0.000 0.528 0.436 0.032 0.004
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.5751 0.60302 0.292 0.020 0.000 0.072 0.616
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.1043 0.80400 0.960 0.000 0.000 0.000 0.040
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.4404 0.55280 0.000 0.024 0.292 0.684 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0867 0.78332 0.008 0.000 0.976 0.008 0.008
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.4375 0.71852 0.000 0.728 0.236 0.032 0.004
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.1990 0.79423 0.920 0.004 0.008 0.000 0.068
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.3551 0.68013 0.772 0.008 0.000 0.000 0.220
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.3857 0.56382 0.688 0.000 0.000 0.000 0.312
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0290 0.90047 0.000 0.000 0.008 0.992 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0854 0.78080 0.008 0.012 0.976 0.004 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0912 0.77638 0.016 0.012 0.972 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.6754 0.15430 0.004 0.208 0.580 0.172 0.036
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.7002 0.04525 0.512 0.224 0.032 0.000 0.232
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.5549 -0.20134 0.476 0.004 0.056 0.000 0.464
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.5549 -0.20134 0.476 0.004 0.056 0.000 0.464
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.3732 0.70773 0.000 0.816 0.144 0.016 0.024
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.1357 0.80111 0.948 0.000 0.000 0.004 0.048
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.1952 0.79104 0.912 0.004 0.000 0.000 0.084
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0290 0.90047 0.000 0.000 0.008 0.992 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.4227 0.71143 0.804 0.072 0.012 0.004 0.108
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.6732 -0.13428 0.464 0.160 0.016 0.000 0.360
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.1026 0.80338 0.968 0.004 0.000 0.004 0.024
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.1704 0.79874 0.928 0.004 0.000 0.000 0.068
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.1525 0.80208 0.948 0.012 0.000 0.004 0.036
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.1026 0.80338 0.968 0.004 0.000 0.004 0.024
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.1270 0.79472 0.948 0.000 0.000 0.000 0.052
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0510 0.79688 0.984 0.000 0.000 0.000 0.016
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.2753 0.77278 0.856 0.008 0.000 0.000 0.136
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.6461 -0.03441 0.496 0.136 0.012 0.000 0.356
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.3070 0.77445 0.872 0.028 0.008 0.004 0.088
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.5161 0.64384 0.000 0.532 0.432 0.032 0.004
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0290 0.90047 0.000 0.000 0.008 0.992 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.2583 0.76912 0.864 0.004 0.000 0.000 0.132
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.4906 0.69174 0.000 0.592 0.380 0.004 0.024
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.5933 0.62311 0.016 0.524 0.400 0.004 0.056
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.3521 0.68451 0.764 0.004 0.000 0.000 0.232
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.4211 0.49759 0.636 0.004 0.000 0.000 0.360
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0290 0.90047 0.000 0.000 0.008 0.992 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0740 0.78332 0.008 0.000 0.980 0.008 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.6666 -0.18937 0.324 0.000 0.412 0.000 0.224 0.040
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.4108 0.65902 0.756 0.012 0.000 0.000 0.172 0.060
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.3974 0.53537 0.000 0.024 0.296 0.680 0.000 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.1501 0.79121 0.924 0.000 0.000 0.000 0.000 0.076
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0790 0.79070 0.968 0.000 0.000 0.000 0.032 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.6297 0.66219 0.000 0.548 0.260 0.000 0.084 0.108
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.6728 0.65130 0.004 0.516 0.204 0.000 0.076 0.200
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.7885 0.39375 0.004 0.372 0.204 0.036 0.292 0.092
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.2766 0.68727 0.000 0.852 0.020 0.000 0.004 0.124
#> 6F178361-2A14-4245-8A35-13A0174231E4 5 0.8207 -0.10664 0.004 0.248 0.200 0.100 0.380 0.068
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0520 0.84524 0.000 0.008 0.984 0.000 0.000 0.008
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.3769 0.35245 0.640 0.000 0.000 0.000 0.356 0.004
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.4682 0.13753 0.556 0.000 0.000 0.000 0.048 0.396
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0520 0.84524 0.000 0.008 0.984 0.000 0.000 0.008
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 5 0.8089 0.14528 0.016 0.144 0.184 0.100 0.472 0.084
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.4940 0.75039 0.000 0.700 0.176 0.000 0.032 0.092
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.1327 0.78253 0.936 0.000 0.000 0.000 0.064 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0260 0.90261 0.000 0.000 0.008 0.992 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0146 0.84718 0.000 0.000 0.996 0.004 0.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.4694 0.19221 0.572 0.000 0.000 0.000 0.052 0.376
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.1616 0.79717 0.932 0.000 0.000 0.000 0.020 0.048
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.2019 0.78280 0.900 0.000 0.000 0.000 0.088 0.012
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.7120 0.62339 0.000 0.528 0.188 0.036 0.164 0.084
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.6652 -0.18379 0.324 0.000 0.416 0.000 0.220 0.040
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 5 0.7669 0.08500 0.004 0.240 0.100 0.096 0.480 0.080
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.4017 0.55263 0.720 0.008 0.004 0.004 0.012 0.252
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0291 0.84712 0.000 0.000 0.992 0.004 0.000 0.004
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.2636 0.74323 0.000 0.860 0.120 0.000 0.004 0.016
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.6506 0.65134 0.000 0.504 0.260 0.000 0.056 0.180
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.3384 0.74651 0.000 0.760 0.228 0.000 0.004 0.008
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0865 0.79709 0.964 0.000 0.000 0.000 0.000 0.036
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.2867 0.71377 0.000 0.872 0.040 0.000 0.024 0.064
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.1672 0.70744 0.000 0.932 0.048 0.000 0.004 0.016
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.4283 0.74105 0.000 0.696 0.252 0.000 0.004 0.048
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0520 0.84524 0.000 0.008 0.984 0.000 0.000 0.008
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.4467 0.22654 0.092 0.056 0.000 0.000 0.764 0.088
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.2762 0.75750 0.860 0.000 0.000 0.000 0.048 0.092
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.4682 0.13753 0.556 0.000 0.000 0.000 0.048 0.396
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0260 0.90261 0.000 0.000 0.008 0.992 0.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.3695 0.28642 0.624 0.000 0.000 0.000 0.376 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.2622 0.69653 0.000 0.868 0.024 0.000 0.004 0.104
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0520 0.84524 0.000 0.008 0.984 0.000 0.000 0.008
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.2647 0.76082 0.868 0.000 0.000 0.000 0.044 0.088
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.4199 0.30322 0.380 0.000 0.000 0.000 0.600 0.020
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.6550 0.64565 0.000 0.496 0.260 0.000 0.056 0.188
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 5 0.5759 0.31525 0.348 0.000 0.056 0.000 0.536 0.060
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.1082 0.79605 0.956 0.000 0.000 0.000 0.004 0.040
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.2851 0.68892 0.000 0.844 0.020 0.000 0.004 0.132
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.84700 0.000 0.000 1.000 0.000 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0291 0.84712 0.000 0.000 0.992 0.004 0.000 0.004
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 5 0.5759 0.31525 0.348 0.000 0.056 0.000 0.536 0.060
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.1753 0.78236 0.912 0.000 0.000 0.000 0.004 0.084
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.6024 0.50049 0.000 0.452 0.352 0.008 0.000 0.188
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.4619 0.31083 0.600 0.000 0.000 0.000 0.348 0.052
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.4017 0.55263 0.720 0.008 0.004 0.004 0.012 0.252
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.2373 0.70227 0.000 0.888 0.024 0.000 0.004 0.084
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0260 0.90261 0.000 0.000 0.008 0.992 0.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.1549 0.79768 0.936 0.000 0.000 0.000 0.020 0.044
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0146 0.84718 0.000 0.000 0.996 0.004 0.000 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 5 0.5765 0.15780 0.004 0.172 0.000 0.096 0.648 0.080
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 5 0.8089 0.14528 0.016 0.144 0.184 0.100 0.472 0.084
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.4005 0.56643 0.732 0.008 0.000 0.004 0.024 0.232
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 5 0.7082 -0.35106 0.268 0.076 0.000 0.000 0.388 0.268
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0260 0.90261 0.000 0.000 0.008 0.992 0.000 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 5 0.4276 0.28648 0.416 0.000 0.000 0.000 0.564 0.020
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.2039 0.79596 0.904 0.000 0.000 0.000 0.020 0.076
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.3647 0.62721 0.760 0.012 0.000 0.004 0.008 0.216
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.7065 -0.66374 0.352 0.068 0.000 0.000 0.264 0.316
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0260 0.90261 0.000 0.000 0.008 0.992 0.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.6449 -0.58318 0.432 0.112 0.004 0.004 0.044 0.404
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.3724 0.72528 0.000 0.716 0.268 0.000 0.004 0.012
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0603 0.79412 0.980 0.000 0.000 0.000 0.016 0.004
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0291 0.84712 0.000 0.000 0.992 0.004 0.000 0.004
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.2420 0.75872 0.864 0.004 0.000 0.000 0.004 0.128
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.6554 0.65629 0.004 0.528 0.212 0.004 0.044 0.208
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.1701 0.79046 0.920 0.000 0.000 0.000 0.008 0.072
#> D209EAAE-2A01-4CD4-9987-272F17352574 5 0.5002 0.16183 0.088 0.064 0.000 0.000 0.716 0.132
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 5 0.3160 0.27220 0.036 0.000 0.000 0.044 0.856 0.064
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 5 0.4199 0.30322 0.380 0.000 0.000 0.000 0.600 0.020
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.84700 0.000 0.000 1.000 0.000 0.000 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0632 0.79167 0.976 0.000 0.000 0.000 0.024 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.3974 0.75230 0.000 0.728 0.224 0.000 0.000 0.048
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.1285 0.79348 0.944 0.000 0.000 0.000 0.004 0.052
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.1444 0.78271 0.928 0.000 0.000 0.000 0.072 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0520 0.84524 0.000 0.008 0.984 0.000 0.000 0.008
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.1444 0.78019 0.928 0.000 0.000 0.000 0.072 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.0260 0.90261 0.000 0.000 0.008 0.992 0.000 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.7210 0.58617 0.004 0.456 0.216 0.000 0.124 0.200
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.4159 0.25583 0.588 0.000 0.000 0.000 0.396 0.016
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.3354 0.66557 0.780 0.008 0.000 0.004 0.004 0.204
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.1858 0.77531 0.904 0.000 0.000 0.000 0.092 0.004
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.2504 0.75149 0.856 0.000 0.000 0.004 0.004 0.136
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.0260 0.90261 0.000 0.000 0.008 0.992 0.000 0.000
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#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 3 0.6720 -0.22706 0.328 0.000 0.392 0.000 0.240 0.040
#> 59363737-247E-4524-B7CD-F43B2C861027 4 0.0260 0.90261 0.000 0.000 0.008 0.992 0.000 0.000
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 4 0.6991 0.26022 0.036 0.000 0.316 0.432 0.192 0.024
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.2660 0.76268 0.868 0.000 0.000 0.000 0.048 0.084
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 4 0.0260 0.90261 0.000 0.000 0.008 0.992 0.000 0.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 3 0.6200 -0.43979 0.004 0.396 0.400 0.008 0.000 0.192
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 4 0.0260 0.90261 0.000 0.000 0.008 0.992 0.000 0.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.4529 0.73923 0.000 0.676 0.256 0.000 0.004 0.064
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 4 0.3974 0.53537 0.000 0.024 0.296 0.680 0.000 0.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.2320 0.75673 0.864 0.000 0.000 0.000 0.004 0.132
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 5 0.5759 0.31525 0.348 0.000 0.056 0.000 0.536 0.060
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.2800 0.75907 0.860 0.004 0.000 0.000 0.036 0.100
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.1806 0.78061 0.908 0.000 0.000 0.000 0.004 0.088
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.3788 0.71762 0.000 0.704 0.280 0.000 0.004 0.012
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.6311 -0.24568 0.508 0.036 0.000 0.000 0.188 0.268
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.1462 0.78848 0.936 0.000 0.000 0.000 0.056 0.008
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.1753 0.78329 0.912 0.000 0.000 0.000 0.004 0.084
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.1524 0.79650 0.932 0.000 0.000 0.000 0.008 0.060
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.1908 0.77498 0.900 0.000 0.000 0.000 0.096 0.004
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.1418 0.79811 0.944 0.000 0.000 0.000 0.024 0.032
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.3481 0.74732 0.000 0.756 0.228 0.000 0.004 0.012
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.2920 0.69024 0.000 0.844 0.020 0.000 0.008 0.128
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0520 0.84524 0.000 0.008 0.984 0.000 0.000 0.008
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.2762 0.71102 0.000 0.860 0.048 0.000 0.000 0.092
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.0291 0.84712 0.000 0.000 0.992 0.004 0.000 0.004
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.4277 0.56485 0.700 0.000 0.000 0.000 0.236 0.064
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.3927 0.73400 0.000 0.712 0.260 0.000 0.004 0.024
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.1334 0.79801 0.948 0.000 0.000 0.000 0.020 0.032
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.6666 -0.18937 0.324 0.000 0.412 0.000 0.224 0.040
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.2679 0.76291 0.864 0.000 0.000 0.000 0.096 0.040
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.4230 0.59525 0.716 0.004 0.000 0.000 0.224 0.056
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.4899 0.74904 0.004 0.672 0.216 0.000 0.004 0.104
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.7501 0.37624 0.016 0.364 0.328 0.000 0.096 0.196
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0779 0.84105 0.008 0.008 0.976 0.000 0.000 0.008
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.2373 0.70227 0.000 0.888 0.024 0.000 0.004 0.084
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0603 0.79412 0.980 0.000 0.000 0.000 0.016 0.004
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.2568 0.77780 0.876 0.000 0.000 0.000 0.056 0.068
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.1387 0.78083 0.932 0.000 0.000 0.000 0.068 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.1588 0.78867 0.924 0.000 0.000 0.000 0.004 0.072
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.1625 0.79711 0.928 0.000 0.000 0.000 0.012 0.060
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.0260 0.90261 0.000 0.000 0.008 0.992 0.000 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.2554 0.77629 0.876 0.004 0.000 0.000 0.028 0.092
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.6991 0.26022 0.036 0.000 0.316 0.432 0.192 0.024
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.4682 0.13753 0.556 0.000 0.000 0.000 0.048 0.396
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.1693 0.70827 0.000 0.932 0.044 0.000 0.004 0.020
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.4054 0.50045 0.700 0.008 0.004 0.004 0.008 0.276
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 3 0.6165 -0.42040 0.004 0.392 0.412 0.008 0.000 0.184
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0779 0.84105 0.008 0.008 0.976 0.000 0.000 0.008
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.1605 0.70686 0.000 0.936 0.044 0.000 0.004 0.016
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.1605 0.70686 0.000 0.936 0.044 0.000 0.004 0.016
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.5294 0.73145 0.000 0.616 0.244 0.000 0.008 0.132
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.4682 0.13753 0.556 0.000 0.000 0.000 0.048 0.396
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0520 0.84524 0.000 0.008 0.984 0.000 0.000 0.008
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.1444 0.78328 0.928 0.000 0.000 0.000 0.072 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 5 0.5759 0.31525 0.348 0.000 0.056 0.000 0.536 0.060
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.4233 0.55620 0.684 0.000 0.000 0.000 0.268 0.048
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.1334 0.79801 0.948 0.000 0.000 0.000 0.020 0.032
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.3974 0.75230 0.000 0.728 0.224 0.000 0.000 0.048
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.2373 0.70227 0.000 0.888 0.024 0.000 0.004 0.084
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0260 0.90261 0.000 0.000 0.008 0.992 0.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 6 0.7402 0.70472 0.268 0.240 0.004 0.004 0.092 0.392
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.2455 0.74278 0.000 0.872 0.112 0.000 0.004 0.012
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.1663 0.77984 0.912 0.000 0.000 0.000 0.088 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.1524 0.79650 0.932 0.000 0.000 0.000 0.008 0.060
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.6297 0.66219 0.000 0.548 0.260 0.000 0.084 0.108
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.5580 0.70619 0.000 0.600 0.272 0.000 0.036 0.092
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 3 0.6757 -0.05087 0.004 0.324 0.476 0.136 0.012 0.048
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.5760 0.71639 0.000 0.588 0.228 0.000 0.024 0.160
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.3441 0.64332 0.768 0.008 0.000 0.004 0.004 0.216
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0632 0.79119 0.976 0.000 0.000 0.000 0.024 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 5 0.4051 0.27742 0.432 0.000 0.000 0.000 0.560 0.008
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0692 0.79733 0.976 0.000 0.000 0.000 0.004 0.020
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.1444 0.78019 0.928 0.000 0.000 0.000 0.072 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0790 0.79070 0.968 0.000 0.000 0.000 0.032 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.4515 0.47341 0.656 0.000 0.000 0.000 0.280 0.064
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0291 0.84712 0.000 0.000 0.992 0.004 0.000 0.004
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.2579 0.70647 0.000 0.876 0.032 0.000 0.004 0.088
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.3788 0.71762 0.000 0.704 0.280 0.000 0.004 0.012
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.3160 0.27220 0.036 0.000 0.000 0.044 0.856 0.064
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.1418 0.79811 0.944 0.000 0.000 0.000 0.024 0.032
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.3974 0.53537 0.000 0.024 0.296 0.680 0.000 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0291 0.84712 0.000 0.000 0.992 0.004 0.000 0.004
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.2110 0.72598 0.000 0.900 0.084 0.000 0.004 0.012
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.2789 0.75895 0.864 0.000 0.000 0.004 0.044 0.088
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.4462 0.47635 0.660 0.000 0.000 0.000 0.280 0.060
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.3847 0.24209 0.456 0.000 0.000 0.000 0.544 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0260 0.90261 0.000 0.000 0.008 0.992 0.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0520 0.84524 0.000 0.008 0.984 0.000 0.000 0.008
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0779 0.84105 0.008 0.008 0.976 0.000 0.000 0.008
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.6767 -0.02596 0.004 0.316 0.480 0.140 0.012 0.048
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 6 0.7068 0.57425 0.376 0.084 0.004 0.004 0.144 0.388
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.5759 0.31525 0.348 0.000 0.056 0.000 0.536 0.060
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 5 0.5759 0.31525 0.348 0.000 0.056 0.000 0.536 0.060
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.2622 0.69653 0.000 0.868 0.024 0.000 0.004 0.104
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.1700 0.78423 0.916 0.000 0.000 0.000 0.004 0.080
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.2504 0.75240 0.856 0.004 0.000 0.000 0.136 0.004
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0260 0.90261 0.000 0.000 0.008 0.992 0.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.3829 0.54946 0.720 0.008 0.000 0.004 0.008 0.260
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.7082 -0.34830 0.272 0.076 0.000 0.000 0.388 0.264
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.1219 0.79689 0.948 0.000 0.000 0.000 0.004 0.048
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.2451 0.77963 0.884 0.000 0.000 0.000 0.060 0.056
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.1387 0.79245 0.932 0.000 0.000 0.000 0.000 0.068
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.1075 0.79584 0.952 0.000 0.000 0.000 0.000 0.048
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.1501 0.78187 0.924 0.000 0.000 0.000 0.076 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0790 0.79058 0.968 0.000 0.000 0.000 0.032 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.4121 0.61505 0.732 0.004 0.000 0.000 0.208 0.056
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.6962 -0.37555 0.332 0.056 0.000 0.000 0.344 0.268
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.2879 0.71486 0.816 0.000 0.000 0.004 0.004 0.176
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.3767 0.72024 0.000 0.708 0.276 0.000 0.004 0.012
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0260 0.90261 0.000 0.000 0.008 0.992 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.3746 0.66014 0.760 0.000 0.000 0.000 0.192 0.048
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.4544 0.74971 0.000 0.688 0.232 0.000 0.004 0.076
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.5824 0.70029 0.000 0.584 0.264 0.000 0.044 0.108
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.4072 0.08160 0.544 0.000 0.000 0.000 0.448 0.008
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.4168 0.30310 0.400 0.000 0.000 0.000 0.584 0.016
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0260 0.90261 0.000 0.000 0.008 0.992 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0146 0.84718 0.000 0.000 0.996 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", "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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.987 0.993 0.4998 0.499 0.499
#> 3 3 0.787 0.920 0.914 0.2452 0.862 0.727
#> 4 4 0.797 0.789 0.878 0.1395 0.906 0.750
#> 5 5 0.737 0.743 0.811 0.0767 0.919 0.731
#> 6 6 0.735 0.550 0.729 0.0525 0.937 0.752
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
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.0000 0.997 1.000 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.997 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.0000 0.988 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.997 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.997 1.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0938 0.989 0.012 0.988
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0938 0.989 0.012 0.988
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0938 0.989 0.012 0.988
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0938 0.989 0.012 0.988
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0938 0.989 0.012 0.988
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.0000 0.988 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.997 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.997 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.0000 0.988 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0938 0.989 0.012 0.988
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0938 0.989 0.012 0.988
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.997 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0000 0.988 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 2 0.0000 0.988 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.997 1.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.997 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.997 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0938 0.989 0.012 0.988
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.0000 0.997 1.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0938 0.989 0.012 0.988
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.997 1.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.0000 0.988 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0938 0.989 0.012 0.988
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0938 0.989 0.012 0.988
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0938 0.989 0.012 0.988
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.997 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0938 0.989 0.012 0.988
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0938 0.989 0.012 0.988
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0938 0.989 0.012 0.988
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.0000 0.988 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.997 1.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.997 1.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.997 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0000 0.988 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.997 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0938 0.989 0.012 0.988
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.0000 0.988 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.997 1.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.997 1.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0938 0.989 0.012 0.988
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.997 1.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.997 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0938 0.989 0.012 0.988
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.0000 0.988 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.0000 0.988 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.997 1.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.997 1.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.0672 0.989 0.008 0.992
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.997 1.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.997 1.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.988 0.000 1.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.0000 0.988 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.997 1.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 2 0.0000 0.988 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0938 0.989 0.012 0.988
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.0938 0.989 0.012 0.988
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.997 1.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.0000 0.997 1.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.0000 0.988 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.997 1.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.997 1.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.997 1.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.0000 0.997 1.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.0000 0.988 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.997 1.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0672 0.989 0.008 0.992
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.997 1.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 2 0.0000 0.988 0.000 1.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.997 1.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0938 0.989 0.012 0.988
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.997 1.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.9775 0.318 0.412 0.588
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 2 0.0938 0.989 0.012 0.988
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.0000 0.997 1.000 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 2 0.0000 0.988 0.000 1.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.997 1.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0938 0.989 0.012 0.988
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.997 1.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.997 1.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 2 0.0000 0.988 0.000 1.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.997 1.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 2 0.0000 0.988 0.000 1.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0938 0.989 0.012 0.988
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.997 1.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.997 1.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.997 1.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.997 1.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.0000 0.988 0.000 1.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.0000 0.988 0.000 1.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.997 1.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.0938 0.989 0.012 0.988
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.997 1.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.997 1.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0938 0.989 0.012 0.988
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 2 0.0000 0.988 0.000 1.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.997 1.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.997 1.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0938 0.989 0.012 0.988
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.997 1.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 2 0.0000 0.988 0.000 1.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.997 1.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0938 0.989 0.012 0.988
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.0938 0.989 0.012 0.988
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.0938 0.989 0.012 0.988
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 2 0.0000 0.988 0.000 1.000
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0938 0.989 0.012 0.988
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.0000 0.997 1.000 0.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0938 0.989 0.012 0.988
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.0000 0.997 1.000 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.997 1.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.0938 0.989 0.012 0.988
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.997 1.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.0938 0.989 0.012 0.988
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.0000 0.997 1.000 0.000
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.0938 0.989 0.012 0.988
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 2 0.0000 0.988 0.000 1.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.0000 0.997 1.000 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0000 0.997 1.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.997 1.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 2 0.0000 0.988 0.000 1.000
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.0938 0.989 0.012 0.988
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 2 0.0000 0.988 0.000 1.000
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.997 1.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.0938 0.989 0.012 0.988
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.997 1.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 2 0.0000 0.988 0.000 1.000
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 2 0.0000 0.988 0.000 1.000
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.0938 0.989 0.012 0.988
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.0938 0.989 0.012 0.988
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.0000 0.997 1.000 0.000
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 2 0.0000 0.988 0.000 1.000
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 1 0.0000 0.997 1.000 0.000
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.0938 0.989 0.012 0.988
#> 4C15BE7F-B855-4670-9E38-0A626527D981 2 0.0000 0.988 0.000 1.000
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.0938 0.989 0.012 0.988
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.0000 0.997 1.000 0.000
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 2 0.0938 0.989 0.012 0.988
#> 0CE75D6A-B796-4982-9405-1602F9468945 1 0.0000 0.997 1.000 0.000
#> EAB94BCC-7CF2-462C-87A2-7B464BADA4AC 1 0.0000 0.997 1.000 0.000
#> 563EB6A9-F589-49A8-89B2-2F1185C65C4E 1 0.0000 0.997 1.000 0.000
#> 53DA4154-2ACE-4D7F-98AD-257C8B986DA2 1 0.0000 0.997 1.000 0.000
#> B2EA5A29-4642-4364-A733-C30E5A9FA38E 2 0.0672 0.989 0.008 0.992
#> 38078B54-6BBA-4696-BB22-9D5FC49E631D 1 0.0000 0.997 1.000 0.000
#> F5A64B5A-54BA-41A1-8CA2-75D27C5680D3 1 0.0000 0.997 1.000 0.000
#> 1506AC5C-E9D2-469A-8B74-AD6FDA81031B 1 0.0000 0.997 1.000 0.000
#> D8E31979-B4A1-4799-A6FE-8B2286290F53 2 0.0938 0.989 0.012 0.988
#> 783FA571-A31A-4852-855B-4E8009A9C8F1 1 0.0000 0.997 1.000 0.000
#> D8758939-ACDC-444E-A980-5AC342E107A8 1 0.0000 0.997 1.000 0.000
#> D7D4461C-60DA-4EE9-80FC-0D98CB87BA8F 2 0.0938 0.989 0.012 0.988
#> 5C8E4F70-8C40-4036-B69A-11F9D0BC6243 1 0.0000 0.997 1.000 0.000
#> 97E25CCB-1D3A-435A-9273-75DD8B25610A 1 0.0000 0.997 1.000 0.000
#> 59B0A79B-00CA-480A-A7EC-F3EA73B1465A 2 0.0000 0.988 0.000 1.000
#> 06E96222-F5E3-4DB1-A6CD-1889B8D54C6F 2 0.0000 0.988 0.000 1.000
#> EAE40D3B-BC6E-466C-AA9E-01E85B82ED8B 2 0.0938 0.989 0.012 0.988
#> B5470009-9751-4D1B-8E34-60C6BF272059 2 0.0000 0.988 0.000 1.000
#> E5539B0E-FBE9-4945-9FE3-5FA2DCAE963B 1 0.1414 0.977 0.980 0.020
#> E1362AB7-709E-4125-BDB6-1DBEA40773C2 2 0.9686 0.345 0.396 0.604
#> 04854F35-F6F3-480B-8DB1-C81A27929508 2 0.0938 0.989 0.012 0.988
#> DB9F5784-A3D2-4B4D-B9F4-61A50C77C887 2 0.0938 0.989 0.012 0.988
#> 0B6F39DB-0ED4-40F8-9D01-912EE64630D4 2 0.0938 0.989 0.012 0.988
#> 95B78C91-C27C-412D-971F-8C37FAA12D2F 1 0.0000 0.997 1.000 0.000
#> 26065E87-5EC3-4A02-9FC1-283F2751D722 1 0.0000 0.997 1.000 0.000
#> 4274ED54-92C4-436A-915D-1CF855611BEC 1 0.0000 0.997 1.000 0.000
#> C6586E83-11C5-4D9C-941D-6B73A542214B 1 0.0000 0.997 1.000 0.000
#> F126BC05-CF70-4AC4-86A4-175413710910 2 0.0000 0.988 0.000 1.000
#> C03D7F9D-8A75-4298-B3B8-1C2F1C883182 2 0.0000 0.988 0.000 1.000
#> BF92BAB0-5086-4408-80D3-05B9CCFDA176 1 0.0000 0.997 1.000 0.000
#> B1090911-50A7-4DFB-9050-5D205BE8568E 2 0.0938 0.989 0.012 0.988
#> C92520DF-8D24-4E8F-9FF5-03945962A09A 2 0.0938 0.989 0.012 0.988
#> 11EC0F2D-2BA8-4407-99F5-A0D0B1D7B0C0 1 0.0000 0.997 1.000 0.000
#> 633560A2-5165-4F8D-B715-85A537C046CE 2 0.0000 0.988 0.000 1.000
#> 79A03652-6493-40E8-93EC-431B6D797F65 1 0.0000 0.997 1.000 0.000
#> 0572C254-447A-425C-BD88-2EE4BFDE8BEC 1 0.0000 0.997 1.000 0.000
#> 6FBCEADE-1A61-4D62-BAD0-88DDB21D95D7 1 0.0000 0.997 1.000 0.000
#> ABB7CDD0-71C6-4813-9A1E-4CE9B2F88884 2 0.0000 0.988 0.000 1.000
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#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 2 0.0000 0.988 0.000 1.000
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.0000 0.997 1.000 0.000
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 2 0.0000 0.988 0.000 1.000
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 2 0.0000 0.988 0.000 1.000
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 2 0.0000 0.988 0.000 1.000
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.0938 0.989 0.012 0.988
#> 347C4168-42C5-494B-8080-2C244F6201FF 1 0.0000 0.997 1.000 0.000
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0938 0.989 0.012 0.988
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 1 0.0000 0.997 1.000 0.000
#> 59363737-247E-4524-B7CD-F43B2C861027 2 0.0000 0.988 0.000 1.000
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 2 0.0000 0.988 0.000 1.000
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0000 0.997 1.000 0.000
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 2 0.0000 0.988 0.000 1.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.0938 0.989 0.012 0.988
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 2 0.0000 0.988 0.000 1.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0938 0.989 0.012 0.988
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 2 0.0000 0.988 0.000 1.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.997 1.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.0000 0.997 1.000 0.000
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.997 1.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.997 1.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0672 0.989 0.008 0.992
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.997 1.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.997 1.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.997 1.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.997 1.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.997 1.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.997 1.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0938 0.989 0.012 0.988
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0672 0.989 0.008 0.992
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 2 0.0000 0.988 0.000 1.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0938 0.989 0.012 0.988
#> 36B38256-6879-49C3-94CC-5022F02D1561 2 0.0000 0.988 0.000 1.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.997 1.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0938 0.989 0.012 0.988
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.997 1.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 1 0.0000 0.997 1.000 0.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.997 1.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.997 1.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0938 0.989 0.012 0.988
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.0938 0.989 0.012 0.988
#> B9009D40-10AC-48B3-9495-865BCE904CB1 2 0.0000 0.988 0.000 1.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.988 0.000 1.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.997 1.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.997 1.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.997 1.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.997 1.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.997 1.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 2 0.0000 0.988 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.997 1.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 2 0.0000 0.988 0.000 1.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.997 1.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0938 0.989 0.012 0.988
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.997 1.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.0000 0.988 0.000 1.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 2 0.0000 0.988 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0938 0.989 0.012 0.988
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0938 0.989 0.012 0.988
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0672 0.989 0.008 0.992
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.997 1.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 2 0.0000 0.988 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.997 1.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.997 1.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.997 1.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.997 1.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0938 0.989 0.012 0.988
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.988 0.000 1.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.0000 0.988 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.9795 0.270 0.584 0.416
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0938 0.989 0.012 0.988
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.997 1.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.997 1.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0938 0.989 0.012 0.988
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0938 0.989 0.012 0.988
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.988 0.000 1.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0938 0.989 0.012 0.988
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.997 1.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.997 1.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.997 1.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.997 1.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.997 1.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.997 1.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.997 1.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.0000 0.988 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.988 0.000 1.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0938 0.989 0.012 0.988
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.7453 0.725 0.788 0.212
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.997 1.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.0000 0.988 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 2 0.0000 0.988 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0938 0.989 0.012 0.988
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.997 1.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.997 1.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.997 1.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.0000 0.988 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 2 0.0000 0.988 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 2 0.0000 0.988 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.0000 0.988 0.000 1.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.997 1.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.997 1.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.0000 0.997 1.000 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0938 0.989 0.012 0.988
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.997 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.997 1.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.0000 0.988 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.997 1.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.997 1.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.997 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.997 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.997 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.997 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.997 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.997 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.997 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.997 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.997 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0938 0.989 0.012 0.988
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.988 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.997 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0938 0.989 0.012 0.988
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0938 0.989 0.012 0.988
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.997 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.997 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.0000 0.988 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.0000 0.988 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.6685 0.7521 0.708 0.048 0.244
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9536 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.5058 0.9111 0.000 0.244 0.756
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9536 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9536 1.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0475 0.9540 0.004 0.992 0.004
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.2400 0.8970 0.004 0.932 0.064
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0829 0.9485 0.004 0.984 0.012
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0829 0.9485 0.004 0.984 0.012
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0983 0.9472 0.004 0.980 0.016
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.4702 0.9392 0.000 0.212 0.788
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.2625 0.9308 0.916 0.000 0.084
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0592 0.9530 0.988 0.000 0.012
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.4702 0.9392 0.000 0.212 0.788
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.3112 0.8312 0.004 0.900 0.096
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0237 0.9566 0.004 0.996 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.1643 0.9445 0.956 0.000 0.044
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.4974 0.9091 0.000 0.236 0.764
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.4654 0.9395 0.000 0.208 0.792
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9536 1.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9536 1.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.2356 0.9351 0.928 0.000 0.072
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0829 0.9485 0.004 0.984 0.012
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.4702 0.8177 0.788 0.000 0.212
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.2860 0.8731 0.004 0.912 0.084
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0424 0.9527 0.992 0.000 0.008
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.4654 0.9395 0.000 0.208 0.792
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0237 0.9566 0.004 0.996 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0237 0.9566 0.004 0.996 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0237 0.9566 0.004 0.996 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9536 1.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0237 0.9566 0.004 0.996 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0237 0.9566 0.004 0.996 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0237 0.9566 0.004 0.996 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.4702 0.9392 0.000 0.212 0.788
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.3816 0.9027 0.852 0.000 0.148
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0747 0.9524 0.984 0.000 0.016
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0747 0.9525 0.984 0.000 0.016
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.4974 0.9091 0.000 0.236 0.764
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.2537 0.9323 0.920 0.000 0.080
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0237 0.9566 0.004 0.996 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.4702 0.9392 0.000 0.212 0.788
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.1163 0.9476 0.972 0.000 0.028
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.3816 0.9027 0.852 0.000 0.148
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0237 0.9566 0.004 0.996 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.2537 0.9323 0.920 0.000 0.080
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9536 1.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0829 0.9485 0.004 0.984 0.012
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.4702 0.9392 0.000 0.212 0.788
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.4654 0.9395 0.000 0.208 0.792
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.2878 0.9262 0.904 0.000 0.096
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9536 1.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.4978 0.6145 0.004 0.780 0.216
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.3816 0.9027 0.852 0.000 0.148
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.9536 1.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0237 0.9566 0.004 0.996 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 3 0.4974 0.9091 0.000 0.236 0.764
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9536 1.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.4654 0.9395 0.000 0.208 0.792
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#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.3551 0.9113 0.868 0.000 0.132
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0237 0.9566 0.004 0.996 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.9536 1.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 1 0.5560 0.7123 0.700 0.000 0.300
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.2796 0.9292 0.908 0.000 0.092
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.3551 0.9116 0.868 0.000 0.132
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0237 0.9566 0.004 0.996 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.8823 0.4199 0.176 0.576 0.248
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.4702 0.9392 0.000 0.212 0.788
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0237 0.9566 0.004 0.996 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.9536 1.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0892 0.9519 0.980 0.000 0.020
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.9536 1.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.9536 1.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.9536 1.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 3 0.4974 0.9091 0.000 0.236 0.764
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0424 0.9533 0.992 0.000 0.008
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.2796 0.8460 0.000 0.092 0.908
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.9536 1.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0237 0.9566 0.004 0.996 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.9536 1.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.0475 0.9529 0.004 0.992 0.004
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.4702 0.9392 0.000 0.212 0.788
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0237 0.9566 0.004 0.996 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0237 0.9566 0.004 0.996 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0237 0.9566 0.004 0.996 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0592 0.9519 0.988 0.000 0.012
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.4702 0.9392 0.000 0.212 0.788
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9536 1.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.2537 0.9323 0.920 0.000 0.080
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.9536 1.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9536 1.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0237 0.9566 0.004 0.996 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0237 0.9566 0.004 0.996 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.4974 0.9091 0.000 0.236 0.764
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.7180 0.6643 0.700 0.216 0.084
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0237 0.9566 0.004 0.996 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0237 0.9534 0.996 0.000 0.004
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9536 1.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0237 0.9566 0.004 0.996 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0237 0.9566 0.004 0.996 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0237 0.9514 0.000 0.996 0.004
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0237 0.9566 0.004 0.996 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0424 0.9526 0.992 0.000 0.008
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9536 1.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.2796 0.9283 0.908 0.000 0.092
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9536 1.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0592 0.9526 0.988 0.000 0.012
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9536 1.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.3816 0.9027 0.852 0.000 0.148
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.4654 0.9395 0.000 0.208 0.792
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0237 0.9566 0.004 0.996 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0237 0.9566 0.004 0.996 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.7651 0.7184 0.680 0.124 0.196
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9536 1.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.4974 0.9091 0.000 0.236 0.764
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.4654 0.9395 0.000 0.208 0.792
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0237 0.9566 0.004 0.996 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0747 0.9512 0.984 0.000 0.016
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.3816 0.9027 0.852 0.000 0.148
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.3686 0.9071 0.860 0.000 0.140
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.4974 0.9091 0.000 0.236 0.764
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.4702 0.9392 0.000 0.212 0.788
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.4702 0.9392 0.000 0.212 0.788
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.5016 0.5362 0.000 0.760 0.240
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.2711 0.9273 0.912 0.000 0.088
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.2878 0.9262 0.904 0.000 0.096
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.4750 0.8220 0.784 0.000 0.216
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0237 0.9566 0.004 0.996 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9536 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.2796 0.9283 0.908 0.000 0.092
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.4974 0.9091 0.000 0.236 0.764
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0892 0.9501 0.980 0.000 0.020
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.3816 0.9027 0.852 0.000 0.148
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9536 1.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0892 0.9519 0.980 0.000 0.020
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9536 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9536 1.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0424 0.9530 0.992 0.000 0.008
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9536 1.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.3412 0.9160 0.876 0.000 0.124
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.3816 0.9027 0.852 0.000 0.148
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9536 1.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0237 0.9566 0.004 0.996 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.4974 0.9091 0.000 0.236 0.764
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.3619 0.9094 0.864 0.000 0.136
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0237 0.9566 0.004 0.996 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0237 0.9566 0.004 0.996 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.2711 0.9298 0.912 0.000 0.088
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.3816 0.9027 0.852 0.000 0.148
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.4974 0.9091 0.000 0.236 0.764
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.4654 0.9395 0.000 0.208 0.792
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 4 0.4998 0.5861 0.192 0.008 0.040 0.760
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.3970 0.8076 0.000 0.084 0.840 0.076
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0336 0.9527 0.000 0.992 0.000 0.008
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.1474 0.9296 0.000 0.948 0.000 0.052
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.1022 0.9410 0.000 0.968 0.000 0.032
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.1211 0.9366 0.000 0.960 0.000 0.040
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.4095 0.7972 0.000 0.804 0.024 0.172
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.4910 0.8641 0.000 0.020 0.704 0.276
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.4730 0.1290 0.636 0.000 0.000 0.364
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0707 0.8566 0.980 0.000 0.000 0.020
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.4910 0.8641 0.000 0.020 0.704 0.276
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.4286 0.7972 0.000 0.812 0.136 0.052
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.1940 0.7980 0.924 0.000 0.000 0.076
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.1940 0.7901 0.000 0.076 0.924 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.4910 0.8641 0.000 0.020 0.704 0.276
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0188 0.8632 0.996 0.000 0.000 0.004
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.4008 0.5016 0.756 0.000 0.000 0.244
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.1211 0.9366 0.000 0.960 0.000 0.040
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.6611 -0.0760 0.460 0.000 0.080 0.460
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.4406 0.6499 0.000 0.700 0.000 0.300
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.3569 0.5801 0.804 0.000 0.000 0.196
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.4910 0.8641 0.000 0.020 0.704 0.276
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.4910 0.8641 0.000 0.020 0.704 0.276
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 4 0.4304 0.8054 0.284 0.000 0.000 0.716
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.1389 0.8368 0.952 0.000 0.000 0.048
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.1211 0.8411 0.960 0.000 0.000 0.040
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.1940 0.7901 0.000 0.076 0.924 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.4605 0.2362 0.664 0.000 0.000 0.336
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.4910 0.8641 0.000 0.020 0.704 0.276
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.3873 0.5182 0.772 0.000 0.000 0.228
#> 29B732C6-0404-4B37-AD22-654A9348C95E 4 0.4304 0.8054 0.284 0.000 0.000 0.716
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0817 0.9455 0.000 0.976 0.000 0.024
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.4624 0.2274 0.660 0.000 0.000 0.340
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.4910 0.8641 0.000 0.020 0.704 0.276
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.4910 0.8641 0.000 0.020 0.704 0.276
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.4679 0.1846 0.648 0.000 0.000 0.352
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.5708 0.6504 0.000 0.716 0.124 0.160
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 4 0.4522 0.8013 0.320 0.000 0.000 0.680
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 3 0.1940 0.7901 0.000 0.076 0.924 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.4910 0.8641 0.000 0.020 0.704 0.276
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.4817 0.4904 0.000 0.612 0.000 0.388
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 4 0.5454 0.4896 0.000 0.172 0.096 0.732
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0336 0.8615 0.992 0.000 0.000 0.008
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 4 0.5235 0.7730 0.236 0.048 0.000 0.716
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.1940 0.7901 0.000 0.076 0.924 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 4 0.4522 0.8013 0.320 0.000 0.000 0.680
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.1022 0.8444 0.968 0.000 0.000 0.032
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 4 0.4304 0.8054 0.284 0.000 0.000 0.716
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 3 0.1940 0.7901 0.000 0.076 0.924 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.4040 0.4744 0.752 0.000 0.000 0.248
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.4936 0.8623 0.000 0.020 0.700 0.280
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.1302 0.9345 0.000 0.956 0.000 0.044
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#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.4910 0.8641 0.000 0.020 0.704 0.276
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.4910 0.8641 0.000 0.020 0.704 0.276
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.4898 -0.0931 0.584 0.000 0.000 0.416
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 4 0.6398 0.2986 0.344 0.000 0.080 0.576
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.4830 0.0333 0.608 0.000 0.000 0.392
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 4 0.4624 0.7831 0.340 0.000 0.000 0.660
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.1022 0.9410 0.000 0.968 0.000 0.032
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 4 0.5454 0.6442 0.096 0.172 0.000 0.732
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.4936 0.8619 0.000 0.020 0.700 0.280
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.1389 0.8368 0.952 0.000 0.000 0.048
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 3 0.1940 0.7901 0.000 0.076 0.924 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0469 0.8603 0.988 0.000 0.000 0.012
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.0000 0.7968 0.000 0.000 1.000 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0188 0.8632 0.996 0.000 0.000 0.004
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.2500 0.9026 0.000 0.916 0.044 0.040
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.4910 0.8641 0.000 0.020 0.704 0.276
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.1389 0.8320 0.952 0.000 0.000 0.048
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.4910 0.8641 0.000 0.020 0.704 0.276
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.4624 0.2274 0.660 0.000 0.000 0.340
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.2814 0.6991 0.868 0.000 0.000 0.132
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.1940 0.7901 0.000 0.076 0.924 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 4 0.6491 0.4987 0.432 0.072 0.000 0.496
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0921 0.8473 0.972 0.000 0.000 0.028
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 4 0.4843 0.7020 0.396 0.000 0.000 0.604
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0921 0.8475 0.972 0.000 0.000 0.028
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 4 0.4304 0.8054 0.284 0.000 0.000 0.716
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.4910 0.8641 0.000 0.020 0.704 0.276
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.1211 0.9366 0.000 0.960 0.000 0.040
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 4 0.5556 0.7403 0.188 0.000 0.092 0.720
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.1940 0.7901 0.000 0.076 0.924 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.4910 0.8641 0.000 0.020 0.704 0.276
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.3610 0.5816 0.800 0.000 0.000 0.200
#> A45F3A18-FE01-4651-8421-BEC9219D9201 4 0.4522 0.8013 0.320 0.000 0.000 0.680
#> 906F768E-2E9D-4106-8062-BCE7AB174403 4 0.4643 0.7792 0.344 0.000 0.000 0.656
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.1940 0.7901 0.000 0.076 0.924 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.4910 0.8641 0.000 0.020 0.704 0.276
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.4936 0.8623 0.000 0.020 0.700 0.280
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.4621 0.5806 0.000 0.708 0.284 0.008
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 4 0.5000 0.4344 0.496 0.000 0.000 0.504
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.4713 0.1533 0.640 0.000 0.000 0.360
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.4713 0.1654 0.640 0.000 0.000 0.360
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 4 0.4746 0.7458 0.368 0.000 0.000 0.632
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.1940 0.7901 0.000 0.076 0.924 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.3764 0.5450 0.784 0.000 0.000 0.216
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 4 0.4454 0.8051 0.308 0.000 0.000 0.692
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.1302 0.8402 0.956 0.000 0.000 0.044
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0707 0.8538 0.980 0.000 0.000 0.020
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 4 0.4624 0.7831 0.340 0.000 0.000 0.660
#> 79523685-8715-4B64-B53E-3A7506C06994 4 0.4522 0.8014 0.320 0.000 0.000 0.680
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.8661 1.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.1940 0.7901 0.000 0.076 0.924 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.4999 -0.4102 0.508 0.000 0.000 0.492
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.9561 0.000 1.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 4 0.4977 0.5505 0.460 0.000 0.000 0.540
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 4 0.4522 0.8013 0.320 0.000 0.000 0.680
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.1940 0.7901 0.000 0.076 0.924 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.4910 0.8641 0.000 0.020 0.704 0.276
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 5 0.6184 0.36909 0.088 0.000 0.276 0.036 0.600
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0609 0.85251 0.980 0.000 0.000 0.000 0.020
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.4658 -0.60193 0.000 0.008 0.556 0.432 0.004
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0162 0.85307 0.996 0.000 0.000 0.004 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.2891 0.75503 0.824 0.000 0.000 0.000 0.176
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0510 0.87908 0.000 0.984 0.000 0.016 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.4455 0.79747 0.000 0.744 0.000 0.188 0.068
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.4372 0.80527 0.000 0.756 0.000 0.172 0.072
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.4934 0.77349 0.000 0.708 0.000 0.188 0.104
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.6545 0.43421 0.000 0.448 0.000 0.344 0.208
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0290 0.87578 0.000 0.008 0.992 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 5 0.4126 0.42118 0.380 0.000 0.000 0.000 0.620
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.2592 0.82684 0.892 0.000 0.000 0.052 0.056
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0290 0.87578 0.000 0.008 0.992 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.6101 0.67436 0.000 0.596 0.016 0.268 0.120
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.3039 0.84717 0.000 0.836 0.000 0.152 0.012
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.3752 0.60747 0.708 0.000 0.000 0.000 0.292
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.4528 0.85740 0.000 0.008 0.444 0.548 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0693 0.87495 0.000 0.008 0.980 0.000 0.012
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.1836 0.84647 0.932 0.000 0.000 0.036 0.032
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0451 0.85208 0.988 0.000 0.000 0.008 0.004
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.4304 0.01739 0.516 0.000 0.000 0.000 0.484
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.5013 0.76791 0.000 0.700 0.000 0.192 0.108
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.6586 0.27083 0.140 0.000 0.564 0.032 0.264
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.6767 0.27304 0.000 0.392 0.000 0.328 0.280
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.3995 0.64406 0.776 0.000 0.000 0.044 0.180
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.1168 0.87074 0.000 0.008 0.960 0.000 0.032
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.88287 0.000 1.000 0.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.2471 0.85540 0.000 0.864 0.000 0.136 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.88287 0.000 1.000 0.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.85329 1.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.88287 0.000 1.000 0.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.88287 0.000 1.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0162 0.88282 0.000 0.996 0.000 0.000 0.004
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0290 0.87578 0.000 0.008 0.992 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.4264 0.67416 0.044 0.000 0.000 0.212 0.744
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.3359 0.78632 0.844 0.000 0.000 0.072 0.084
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.3181 0.79473 0.856 0.000 0.000 0.072 0.072
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.4528 0.85740 0.000 0.008 0.444 0.548 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 5 0.4242 0.29857 0.428 0.000 0.000 0.000 0.572
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0671 0.88149 0.000 0.980 0.000 0.016 0.004
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0290 0.87578 0.000 0.008 0.992 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.4914 0.55418 0.704 0.000 0.000 0.092 0.204
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.4237 0.67729 0.048 0.000 0.000 0.200 0.752
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.3368 0.83902 0.000 0.820 0.000 0.156 0.024
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 5 0.4846 0.37786 0.384 0.000 0.000 0.028 0.588
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0162 0.85315 0.996 0.000 0.000 0.000 0.004
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0162 0.88297 0.000 0.996 0.000 0.004 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0290 0.87578 0.000 0.008 0.992 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.1168 0.87074 0.000 0.008 0.960 0.000 0.032
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 5 0.4804 0.48118 0.328 0.000 0.000 0.036 0.636
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0324 0.85245 0.992 0.000 0.000 0.004 0.004
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.7894 0.45931 0.000 0.448 0.208 0.232 0.112
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.5079 0.71913 0.136 0.000 0.000 0.164 0.700
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0912 0.84826 0.972 0.000 0.000 0.012 0.016
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.2997 0.84856 0.000 0.840 0.000 0.148 0.012
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.4528 0.85740 0.000 0.008 0.444 0.548 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.1197 0.84084 0.952 0.000 0.000 0.000 0.048
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.1168 0.87074 0.000 0.008 0.960 0.000 0.032
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.6818 0.16912 0.000 0.352 0.000 0.336 0.312
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 5 0.4423 0.56981 0.000 0.008 0.012 0.296 0.684
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.2149 0.82164 0.916 0.000 0.000 0.048 0.036
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#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 2 0.0290 0.88186 0.000 0.992 0.000 0.008 0.000
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 5 0.4067 0.55084 0.300 0.000 0.000 0.008 0.692
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 5 0.4584 0.57953 0.000 0.016 0.020 0.256 0.708
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.2632 0.81647 0.888 0.000 0.000 0.040 0.072
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.4162 0.81145 0.000 0.768 0.000 0.176 0.056
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 4 0.4528 0.85740 0.000 0.008 0.444 0.548 0.000
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.2153 0.82131 0.916 0.000 0.000 0.040 0.044
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 3 0.0693 0.87495 0.000 0.008 0.980 0.000 0.012
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 4 0.4528 0.85740 0.000 0.008 0.444 0.548 0.000
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 3 0.0693 0.87495 0.000 0.008 0.980 0.000 0.012
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.2629 0.85467 0.000 0.860 0.000 0.136 0.004
#> 347C4168-42C5-494B-8080-2C244F6201FF 5 0.4595 0.66492 0.044 0.004 0.000 0.236 0.716
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0451 0.88221 0.000 0.988 0.000 0.008 0.004
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 3 0.6488 0.21471 0.088 0.000 0.512 0.036 0.364
#> 59363737-247E-4524-B7CD-F43B2C861027 4 0.4528 0.85740 0.000 0.008 0.444 0.548 0.000
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 4 0.4533 0.83666 0.000 0.000 0.448 0.544 0.008
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.3532 0.77576 0.832 0.000 0.000 0.076 0.092
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 4 0.4528 0.85740 0.000 0.008 0.444 0.548 0.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.5348 0.72740 0.000 0.656 0.000 0.232 0.112
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 4 0.4528 0.85740 0.000 0.008 0.444 0.548 0.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.2583 0.85561 0.000 0.864 0.000 0.132 0.004
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 4 0.4528 0.85740 0.000 0.008 0.444 0.548 0.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0451 0.85178 0.988 0.000 0.000 0.008 0.004
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 5 0.4804 0.48118 0.328 0.000 0.000 0.036 0.636
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.3051 0.79017 0.864 0.000 0.000 0.076 0.060
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0162 0.85304 0.996 0.000 0.000 0.000 0.004
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0162 0.88282 0.000 0.996 0.000 0.000 0.004
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 5 0.5904 0.67205 0.204 0.000 0.000 0.196 0.600
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0510 0.85217 0.984 0.000 0.000 0.000 0.016
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0451 0.85178 0.988 0.000 0.000 0.008 0.004
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.85329 1.000 0.000 0.000 0.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.3452 0.68278 0.756 0.000 0.000 0.000 0.244
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0703 0.85014 0.976 0.000 0.000 0.000 0.024
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.88287 0.000 1.000 0.000 0.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.2763 0.85096 0.000 0.848 0.000 0.148 0.004
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0290 0.87578 0.000 0.008 0.992 0.000 0.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.2536 0.85697 0.000 0.868 0.000 0.128 0.004
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.1168 0.87074 0.000 0.008 0.960 0.000 0.032
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.6162 -0.30383 0.440 0.000 0.000 0.132 0.428
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.88287 0.000 1.000 0.000 0.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.2230 0.80248 0.884 0.000 0.000 0.000 0.116
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.6450 0.24921 0.088 0.000 0.528 0.036 0.348
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 5 0.5162 0.48835 0.308 0.000 0.000 0.064 0.628
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 5 0.4968 0.71094 0.152 0.000 0.000 0.136 0.712
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.4444 0.80149 0.000 0.748 0.000 0.180 0.072
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 5 0.4813 0.51949 0.004 0.020 0.000 0.376 0.600
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0451 0.87456 0.000 0.008 0.988 0.004 0.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.3039 0.84716 0.000 0.836 0.000 0.152 0.012
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.1792 0.82344 0.916 0.000 0.000 0.000 0.084
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.3586 0.76966 0.828 0.000 0.000 0.076 0.096
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.2966 0.74894 0.816 0.000 0.000 0.000 0.184
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.85329 1.000 0.000 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0324 0.85245 0.992 0.000 0.000 0.004 0.004
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.4528 0.85740 0.000 0.008 0.444 0.548 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.2291 0.82032 0.908 0.000 0.000 0.056 0.036
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.4882 0.81350 0.000 0.000 0.444 0.532 0.024
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0794 0.85251 0.972 0.000 0.000 0.000 0.028
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0162 0.88282 0.000 0.996 0.000 0.000 0.004
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.1364 0.84141 0.952 0.000 0.000 0.036 0.012
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.6067 0.72736 0.000 0.652 0.052 0.204 0.092
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0451 0.87456 0.000 0.008 0.988 0.004 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0162 0.88282 0.000 0.996 0.000 0.000 0.004
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0162 0.88282 0.000 0.996 0.000 0.000 0.004
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.2629 0.85467 0.000 0.860 0.000 0.136 0.004
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.3476 0.76864 0.836 0.000 0.000 0.076 0.088
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0290 0.87578 0.000 0.008 0.992 0.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.3003 0.74542 0.812 0.000 0.000 0.000 0.188
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 5 0.4835 0.38261 0.380 0.000 0.000 0.028 0.592
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.3060 0.73927 0.848 0.000 0.000 0.024 0.128
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.1732 0.82569 0.920 0.000 0.000 0.000 0.080
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.88287 0.000 1.000 0.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.2997 0.84856 0.000 0.840 0.000 0.148 0.012
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.4528 0.85740 0.000 0.008 0.444 0.548 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 5 0.6833 0.48393 0.244 0.004 0.000 0.348 0.404
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.88287 0.000 1.000 0.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.3074 0.73570 0.804 0.000 0.000 0.000 0.196
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0162 0.85315 0.996 0.000 0.000 0.000 0.004
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.88287 0.000 1.000 0.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.88287 0.000 1.000 0.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0162 0.88282 0.000 0.996 0.000 0.000 0.004
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.1544 0.87178 0.000 0.932 0.000 0.068 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.2659 0.80283 0.888 0.000 0.000 0.060 0.052
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.1851 0.82102 0.912 0.000 0.000 0.000 0.088
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 5 0.3398 0.63882 0.216 0.000 0.000 0.004 0.780
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0290 0.85300 0.992 0.000 0.000 0.000 0.008
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.3305 0.70681 0.776 0.000 0.000 0.000 0.224
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.2648 0.77555 0.848 0.000 0.000 0.000 0.152
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.4525 0.68450 0.056 0.000 0.000 0.220 0.724
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.1168 0.87074 0.000 0.008 0.960 0.000 0.032
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.4948 0.77319 0.000 0.708 0.000 0.184 0.108
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0162 0.88282 0.000 0.996 0.000 0.000 0.004
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.4377 0.64022 0.028 0.004 0.000 0.248 0.720
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0510 0.85217 0.984 0.000 0.000 0.000 0.016
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.4528 0.85740 0.000 0.008 0.444 0.548 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.1168 0.87074 0.000 0.008 0.960 0.000 0.032
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.88287 0.000 1.000 0.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.4393 0.63535 0.756 0.000 0.000 0.076 0.168
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.4711 0.71643 0.148 0.000 0.000 0.116 0.736
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.4437 0.71929 0.140 0.000 0.000 0.100 0.760
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.4528 0.85740 0.000 0.008 0.444 0.548 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0290 0.87578 0.000 0.008 0.992 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0451 0.87456 0.000 0.008 0.988 0.004 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.6257 0.39421 0.000 0.588 0.220 0.180 0.012
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.6610 0.50304 0.260 0.000 0.000 0.280 0.460
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.4747 0.48385 0.332 0.000 0.000 0.032 0.636
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 5 0.4804 0.48118 0.328 0.000 0.000 0.036 0.636
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.2886 0.84981 0.000 0.844 0.000 0.148 0.008
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0162 0.85307 0.996 0.000 0.000 0.004 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.3954 0.67614 0.192 0.000 0.000 0.036 0.772
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.4528 0.85740 0.000 0.008 0.444 0.548 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.4547 0.59710 0.736 0.000 0.000 0.072 0.192
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.5060 0.70276 0.092 0.000 0.000 0.224 0.684
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0162 0.85315 0.996 0.000 0.000 0.000 0.004
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.3934 0.75641 0.800 0.000 0.000 0.076 0.124
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0162 0.85315 0.996 0.000 0.000 0.000 0.004
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.85329 1.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.3274 0.71202 0.780 0.000 0.000 0.000 0.220
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.2329 0.79700 0.876 0.000 0.000 0.000 0.124
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.5625 0.67151 0.204 0.000 0.000 0.160 0.636
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.5442 0.70833 0.116 0.000 0.000 0.240 0.644
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0898 0.84739 0.972 0.000 0.000 0.020 0.008
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0162 0.88282 0.000 0.996 0.000 0.000 0.004
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.4528 0.85740 0.000 0.008 0.444 0.548 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.6330 0.47234 0.364 0.000 0.000 0.164 0.472
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.88287 0.000 1.000 0.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0162 0.88215 0.000 0.996 0.000 0.004 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.3689 0.59906 0.256 0.000 0.000 0.004 0.740
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.4364 0.72679 0.120 0.000 0.000 0.112 0.768
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.4528 0.85740 0.000 0.008 0.444 0.548 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.1168 0.87074 0.000 0.008 0.960 0.000 0.032
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 6 0.6489 0.26300 0.012 0.000 0.232 0.032 0.200 0.524
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0363 0.73973 0.988 0.000 0.000 0.000 0.000 0.012
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.6070 -0.09417 0.000 0.000 0.404 0.292 0.000 0.304
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0146 0.74046 0.996 0.000 0.000 0.000 0.000 0.004
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.3601 0.43324 0.684 0.000 0.000 0.000 0.004 0.312
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0909 0.84360 0.000 0.968 0.000 0.020 0.000 0.012
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.4700 0.39313 0.000 0.492 0.000 0.472 0.028 0.008
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.4784 0.39302 0.000 0.496 0.000 0.464 0.028 0.012
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 4 0.4806 -0.33317 0.000 0.460 0.000 0.488 0.052 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 4 0.6429 0.13918 0.000 0.188 0.000 0.532 0.220 0.060
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.91856 0.000 0.000 1.000 0.000 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 6 0.5853 0.76530 0.216 0.000 0.000 0.000 0.312 0.472
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.4989 0.52427 0.640 0.000 0.000 0.008 0.260 0.092
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.91856 0.000 0.000 1.000 0.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 4 0.6058 -0.04025 0.000 0.296 0.000 0.548 0.092 0.064
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.4018 0.53051 0.000 0.580 0.000 0.412 0.008 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.5617 -0.23548 0.464 0.000 0.000 0.000 0.148 0.388
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.6041 0.38646 0.000 0.000 0.256 0.400 0.000 0.344
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.1644 0.91266 0.000 0.000 0.920 0.000 0.004 0.076
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.4016 0.65468 0.772 0.000 0.000 0.008 0.132 0.088
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#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.3446 0.44775 0.692 0.000 0.000 0.000 0.000 0.308
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.0964 0.57103 0.016 0.000 0.000 0.004 0.968 0.012
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.1757 0.91211 0.000 0.000 0.916 0.000 0.008 0.076
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 4 0.4704 -0.34409 0.000 0.468 0.000 0.488 0.044 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.85452 0.000 1.000 0.000 0.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.5371 0.46874 0.000 0.000 0.000 0.240 0.584 0.176
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0937 0.73056 0.960 0.000 0.000 0.000 0.000 0.040
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.6041 0.38646 0.000 0.000 0.256 0.400 0.000 0.344
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.1757 0.91211 0.000 0.000 0.916 0.000 0.008 0.076
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0146 0.85435 0.000 0.996 0.000 0.000 0.000 0.004
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.3810 0.33556 0.572 0.000 0.000 0.000 0.428 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.3766 0.46332 0.040 0.000 0.000 0.000 0.748 0.212
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.4784 0.36554 0.040 0.000 0.000 0.028 0.660 0.272
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.6041 0.38646 0.000 0.000 0.256 0.400 0.000 0.344
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.91856 0.000 0.000 1.000 0.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.91856 0.000 0.000 1.000 0.000 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.6521 0.29651 0.000 0.556 0.152 0.176 0.000 0.116
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.3655 0.48498 0.136 0.000 0.000 0.076 0.788 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 6 0.6043 0.72814 0.180 0.000 0.000 0.024 0.260 0.536
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 6 0.6075 0.69350 0.168 0.000 0.000 0.040 0.228 0.564
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.3955 0.56823 0.000 0.608 0.000 0.384 0.008 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.74052 1.000 0.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.5331 -0.20060 0.084 0.000 0.000 0.008 0.516 0.392
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.6041 0.38646 0.000 0.000 0.256 0.400 0.000 0.344
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.3668 0.47999 0.668 0.000 0.000 0.000 0.328 0.004
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.2295 0.58277 0.016 0.000 0.000 0.052 0.904 0.028
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0260 0.74019 0.992 0.000 0.000 0.000 0.000 0.008
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.5113 0.18910 0.472 0.000 0.000 0.000 0.448 0.080
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0146 0.74046 0.996 0.000 0.000 0.000 0.000 0.004
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0146 0.74046 0.996 0.000 0.000 0.000 0.000 0.004
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.5117 0.06947 0.548 0.000 0.000 0.000 0.092 0.360
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.3151 0.54050 0.748 0.000 0.000 0.000 0.000 0.252
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.3062 0.46513 0.112 0.000 0.000 0.000 0.836 0.052
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.1536 0.56125 0.040 0.000 0.000 0.016 0.940 0.004
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0603 0.73714 0.980 0.000 0.000 0.000 0.016 0.004
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.85452 0.000 1.000 0.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.6041 0.38646 0.000 0.000 0.256 0.400 0.000 0.344
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.4159 0.21945 0.252 0.000 0.000 0.004 0.704 0.040
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0508 0.85248 0.000 0.984 0.000 0.012 0.000 0.004
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0508 0.85248 0.000 0.984 0.000 0.012 0.000 0.004
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.5184 -0.35504 0.088 0.000 0.000 0.000 0.480 0.432
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.4743 0.43400 0.032 0.000 0.000 0.044 0.684 0.240
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.6041 0.38646 0.000 0.000 0.256 0.400 0.000 0.344
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.1757 0.91211 0.000 0.000 0.916 0.000 0.008 0.076
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 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 0.992 0.997 0.5013 0.499 0.499
#> 3 3 1.000 0.971 0.989 0.2787 0.839 0.685
#> 4 4 0.858 0.894 0.923 0.0848 0.943 0.845
#> 5 5 0.875 0.848 0.928 0.1117 0.902 0.696
#> 6 6 0.801 0.742 0.832 0.0503 0.935 0.731
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
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.000 0.996 1.000 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.000 0.996 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.000 0.997 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.000 0.996 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.000 0.996 1.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.000 0.997 0.000 1.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.000 0.997 0.000 1.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.000 0.997 0.000 1.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.000 0.997 0.000 1.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.000 0.997 0.000 1.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.000 0.997 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.000 0.996 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.000 0.996 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.000 0.997 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.000 0.997 0.000 1.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.000 0.997 0.000 1.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.000 0.996 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.000 0.997 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 2 0.000 0.997 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.000 0.996 1.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.000 0.996 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.000 0.996 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.000 0.997 0.000 1.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.000 0.996 1.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.000 0.997 0.000 1.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.000 0.996 1.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.000 0.997 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.000 0.997 0.000 1.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.000 0.997 0.000 1.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.000 0.997 0.000 1.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.000 0.996 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.000 0.997 0.000 1.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.000 0.997 0.000 1.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.000 0.997 0.000 1.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.000 0.997 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.000 0.996 1.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.000 0.996 1.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.000 0.996 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.000 0.997 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.000 0.996 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.000 0.997 0.000 1.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.000 0.997 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.000 0.996 1.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.000 0.996 1.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.000 0.997 0.000 1.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.000 0.996 1.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.000 0.996 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.000 0.997 0.000 1.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.000 0.997 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.000 0.997 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.000 0.996 1.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.000 0.996 1.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.000 0.997 0.000 1.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.000 0.996 1.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.000 0.996 1.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.000 0.997 0.000 1.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.000 0.997 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.000 0.996 1.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 2 0.000 0.997 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.000 0.997 0.000 1.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.000 0.997 0.000 1.000
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.000 0.996 1.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.000 0.996 1.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.000 0.997 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.000 0.996 1.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.000 0.996 1.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.000 0.996 1.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.000 0.996 1.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.000 0.997 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.000 0.996 1.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.000 0.997 0.000 1.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.000 0.996 1.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 2 0.000 0.997 0.000 1.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.000 0.996 1.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.000 0.997 0.000 1.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.000 0.996 1.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.966 0.355 0.608 0.392
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 2 0.000 0.997 0.000 1.000
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.000 0.996 1.000 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 2 0.000 0.997 0.000 1.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.000 0.996 1.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.000 0.997 0.000 1.000
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#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.000 0.996 1.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.000 0.996 1.000 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.000 0.997 0.000 1.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.000 0.996 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.000 0.996 1.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.000 0.997 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.000 0.996 1.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.000 0.996 1.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.000 0.996 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.000 0.996 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.000 0.996 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.000 0.996 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.000 0.996 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.000 0.996 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.000 0.996 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.000 0.996 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.000 0.996 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.000 0.997 0.000 1.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.000 0.997 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.000 0.996 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.000 0.997 0.000 1.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.000 0.997 0.000 1.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.000 0.996 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.000 0.996 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.000 0.997 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 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
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0000 0.989 0.000 0.000 1.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.992 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.0000 0.989 0.000 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.992 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.992 1.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.980 0.000 1.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.980 0.000 1.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.980 0.000 1.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.980 0.000 1.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.980 0.000 1.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.989 0.000 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.992 1.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.992 1.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.989 0.000 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.1753 0.933 0.000 0.952 0.048
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.980 0.000 1.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.992 1.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.0000 0.989 0.000 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.989 0.000 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.992 1.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.992 1.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.992 1.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.980 0.000 1.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.989 0.000 0.000 1.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.980 0.000 1.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.992 1.000 0.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.989 0.000 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.980 0.000 1.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.980 0.000 1.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.980 0.000 1.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.992 1.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.980 0.000 1.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.980 0.000 1.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.980 0.000 1.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.989 0.000 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.992 1.000 0.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.992 1.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.992 1.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.0000 0.989 0.000 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.992 1.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.980 0.000 1.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.989 0.000 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.992 1.000 0.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.992 1.000 0.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.980 0.000 1.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.992 1.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.992 1.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.980 0.000 1.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.989 0.000 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.989 0.000 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.4399 0.766 0.812 0.000 0.188
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.992 1.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 3 0.5397 0.607 0.000 0.280 0.720
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.992 1.000 0.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.992 1.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.980 0.000 1.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 3 0.0000 0.989 0.000 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.992 1.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.989 0.000 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.980 0.000 1.000 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 3 0.0000 0.989 0.000 0.000 1.000
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.992 1.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.6079 0.361 0.612 0.388 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.0000 0.989 0.000 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.992 1.000 0.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.992 1.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.992 1.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.0000 0.992 1.000 0.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 3 0.0000 0.989 0.000 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.992 1.000 0.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.980 0.000 1.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.992 1.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0000 0.989 0.000 0.000 1.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.992 1.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.980 0.000 1.000 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.992 1.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.5363 0.616 0.276 0.724 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 2 0.6140 0.322 0.000 0.596 0.404
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.0000 0.992 1.000 0.000 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.989 0.000 0.000 1.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.992 1.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.980 0.000 1.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.992 1.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.992 1.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.989 0.000 0.000 1.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.992 1.000 0.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 3 0.0000 0.989 0.000 0.000 1.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.980 0.000 1.000 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.992 1.000 0.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.992 1.000 0.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.992 1.000 0.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.992 1.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 3 0.0000 0.989 0.000 0.000 1.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 3 0.0000 0.989 0.000 0.000 1.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.992 1.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.0000 0.980 0.000 1.000 0.000
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.992 1.000 0.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.992 1.000 0.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.980 0.000 1.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.989 0.000 0.000 1.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.992 1.000 0.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.992 1.000 0.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.980 0.000 1.000 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.992 1.000 0.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0000 0.989 0.000 0.000 1.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.992 1.000 0.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0000 0.980 0.000 1.000 0.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.0000 0.980 0.000 1.000 0.000
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.0000 0.980 0.000 1.000 0.000
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 3 0.4178 0.789 0.000 0.172 0.828
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0000 0.980 0.000 1.000 0.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.0000 0.992 1.000 0.000 0.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0000 0.980 0.000 1.000 0.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.0000 0.992 1.000 0.000 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.992 1.000 0.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.0000 0.980 0.000 1.000 0.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.992 1.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.0000 0.980 0.000 1.000 0.000
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.0000 0.992 1.000 0.000 0.000
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.0000 0.980 0.000 1.000 0.000
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.0000 0.989 0.000 0.000 1.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.0000 0.992 1.000 0.000 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0000 0.992 1.000 0.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.992 1.000 0.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 3 0.0424 0.982 0.000 0.008 0.992
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.0000 0.980 0.000 1.000 0.000
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 3 0.0000 0.989 0.000 0.000 1.000
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.992 1.000 0.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.0000 0.980 0.000 1.000 0.000
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.992 1.000 0.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 3 0.0000 0.989 0.000 0.000 1.000
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 3 0.0000 0.989 0.000 0.000 1.000
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.0000 0.980 0.000 1.000 0.000
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.0000 0.980 0.000 1.000 0.000
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.0000 0.992 1.000 0.000 0.000
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 3 0.0000 0.989 0.000 0.000 1.000
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 1 0.4654 0.733 0.792 0.208 0.000
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.0000 0.980 0.000 1.000 0.000
#> 4C15BE7F-B855-4670-9E38-0A626527D981 3 0.0000 0.989 0.000 0.000 1.000
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.0000 0.980 0.000 1.000 0.000
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.0000 0.992 1.000 0.000 0.000
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 2 0.0000 0.980 0.000 1.000 0.000
#> 0CE75D6A-B796-4982-9405-1602F9468945 1 0.0000 0.992 1.000 0.000 0.000
#> EAB94BCC-7CF2-462C-87A2-7B464BADA4AC 1 0.0000 0.992 1.000 0.000 0.000
#> 563EB6A9-F589-49A8-89B2-2F1185C65C4E 1 0.0000 0.992 1.000 0.000 0.000
#> 53DA4154-2ACE-4D7F-98AD-257C8B986DA2 1 0.0000 0.992 1.000 0.000 0.000
#> B2EA5A29-4642-4364-A733-C30E5A9FA38E 2 0.0000 0.980 0.000 1.000 0.000
#> 38078B54-6BBA-4696-BB22-9D5FC49E631D 1 0.0000 0.992 1.000 0.000 0.000
#> F5A64B5A-54BA-41A1-8CA2-75D27C5680D3 1 0.0000 0.992 1.000 0.000 0.000
#> 1506AC5C-E9D2-469A-8B74-AD6FDA81031B 1 0.0000 0.992 1.000 0.000 0.000
#> D8E31979-B4A1-4799-A6FE-8B2286290F53 2 0.0000 0.980 0.000 1.000 0.000
#> 783FA571-A31A-4852-855B-4E8009A9C8F1 1 0.0000 0.992 1.000 0.000 0.000
#> D8758939-ACDC-444E-A980-5AC342E107A8 1 0.0000 0.992 1.000 0.000 0.000
#> D7D4461C-60DA-4EE9-80FC-0D98CB87BA8F 2 0.0000 0.980 0.000 1.000 0.000
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#> D7A37A60-2DE1-4C33-AE21-A300AAB90AF6 1 0.0000 0.992 1.000 0.000 0.000
#> ADE8E489-7FB1-4A3D-B0DB-6D2B3CFDEE35 1 0.0000 0.992 1.000 0.000 0.000
#> 50B7C59D-ECB0-44C1-B350-01CB48AE1C0A 1 0.0000 0.992 1.000 0.000 0.000
#> 29F60AF8-CE42-4025-8A48-CAD9EB011A0E 1 0.0000 0.992 1.000 0.000 0.000
#> D2265922-C650-4648-B888-C39D306AC21F 3 0.0000 0.989 0.000 0.000 1.000
#> 39E585E6-19F6-4767-BACF-1E7C73C1A1ED 1 0.0000 0.992 1.000 0.000 0.000
#> BA1B4D2D-549E-4D88-BA99-968D79B325B6 1 0.0000 0.992 1.000 0.000 0.000
#> 0497195D-372B-47A6-95D7-1CF3E5D0EBC3 2 0.0000 0.980 0.000 1.000 0.000
#> 979D8EDA-9FC5-44F1-9A4B-B4B4E0334E71 3 0.0000 0.989 0.000 0.000 1.000
#> 01EAF933-A083-47C2-A015-9C6CD8CEC520 1 0.0000 0.992 1.000 0.000 0.000
#> BCCAE932-7C2D-47CD-89C1-1A1886F9D2A5 1 0.0000 0.992 1.000 0.000 0.000
#> 6F7E9F0D-164E-4696-A353-18D379AA4EF7 1 0.0000 0.992 1.000 0.000 0.000
#> B7D1197D-B353-4839-A895-368613243FB7 1 0.0000 0.992 1.000 0.000 0.000
#> ACCEC75A-8EDF-4D83-97DE-BD30FACAC774 2 0.0000 0.980 0.000 1.000 0.000
#> 4087D782-4CB8-4A7F-AE4B-665BADA410B8 2 0.0000 0.980 0.000 1.000 0.000
#> 0C4131D9-0CE6-4476-80F1-3B69B777B658 3 0.0000 0.989 0.000 0.000 1.000
#> 54092E76-4C27-4A4B-8348-8748FCE728A6 1 0.0000 0.992 1.000 0.000 0.000
#> E0353276-F075-43F3-BB95-3AA315D40505 2 0.0000 0.980 0.000 1.000 0.000
#> 580F828B-2333-48F7-BA05-E9B6EF1AA3D5 1 0.0000 0.992 1.000 0.000 0.000
#> C051D793-4538-4D76-BFC2-0C08EAA57371 1 0.0000 0.992 1.000 0.000 0.000
#> 50893EF9-5D78-4731-B614-8E7F4AC5FA5F 1 0.0000 0.992 1.000 0.000 0.000
#> F235BBBB-4364-4BEE-88C8-9075208D1B96 3 0.0000 0.989 0.000 0.000 1.000
#> 73A25F6E-99C8-4C55-9E6C-8457BE8E44C0 2 0.0000 0.980 0.000 1.000 0.000
#> 4C7213E4-7845-49FC-924A-2BC7A7AEB519 3 0.0000 0.989 0.000 0.000 1.000
#> B8E40A95-9DF7-4EEE-B7D9-D17FA6B8AB2C 1 0.0000 0.992 1.000 0.000 0.000
#> 766E5BEF-D5FC-4C60-831C-88667F858375 2 0.0000 0.980 0.000 1.000 0.000
#> 31110A59-6DD4-4EDD-A056-C45DBC8966CC 1 0.0000 0.992 1.000 0.000 0.000
#> 0816836B-3F01-45BC-A843-00867E98FAD7 2 0.0000 0.980 0.000 1.000 0.000
#> 708F24EB-4551-4A3F-8E59-FA76ABE305D7 1 0.0000 0.992 1.000 0.000 0.000
#> 6EF22E72-6FCD-4645-8E8A-F6F117387082 1 0.0000 0.992 1.000 0.000 0.000
#> 680DFFFE-43F3-4A48-A662-FFE89FB43B04 1 0.0000 0.992 1.000 0.000 0.000
#> 4BB7CD09-ECE2-4774-B82C-949B6558C4D2 2 0.0000 0.980 0.000 1.000 0.000
#> 10E55344-362E-4982-B9EF-BE428086D27E 3 0.0000 0.989 0.000 0.000 1.000
#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 2 0.0000 0.980 0.000 1.000 0.000
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.0000 0.992 1.000 0.000 0.000
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 3 0.2878 0.888 0.000 0.096 0.904
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.0000 0.992 1.000 0.000 0.000
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.0000 0.980 0.000 1.000 0.000
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 3 0.0000 0.989 0.000 0.000 1.000
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.0000 0.992 1.000 0.000 0.000
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 3 0.0000 0.989 0.000 0.000 1.000
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 3 0.0000 0.989 0.000 0.000 1.000
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 3 0.0000 0.989 0.000 0.000 1.000
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.0000 0.980 0.000 1.000 0.000
#> 347C4168-42C5-494B-8080-2C244F6201FF 1 0.6045 0.382 0.620 0.380 0.000
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0000 0.980 0.000 1.000 0.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 3 0.0000 0.989 0.000 0.000 1.000
#> 59363737-247E-4524-B7CD-F43B2C861027 3 0.0000 0.989 0.000 0.000 1.000
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 3 0.0000 0.989 0.000 0.000 1.000
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0000 0.992 1.000 0.000 0.000
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 3 0.0000 0.989 0.000 0.000 1.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.0000 0.980 0.000 1.000 0.000
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 3 0.0000 0.989 0.000 0.000 1.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0000 0.980 0.000 1.000 0.000
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 3 0.0000 0.989 0.000 0.000 1.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.992 1.000 0.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 3 0.1411 0.949 0.036 0.000 0.964
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.992 1.000 0.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.992 1.000 0.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.980 0.000 1.000 0.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.992 1.000 0.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.992 1.000 0.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.992 1.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.992 1.000 0.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.992 1.000 0.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.992 1.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.980 0.000 1.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.980 0.000 1.000 0.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0000 0.989 0.000 0.000 1.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.980 0.000 1.000 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.0000 0.989 0.000 0.000 1.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.992 1.000 0.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.980 0.000 1.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.992 1.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.0000 0.989 0.000 0.000 1.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.992 1.000 0.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.992 1.000 0.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0000 0.980 0.000 1.000 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.6274 0.162 0.000 0.544 0.456
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0000 0.989 0.000 0.000 1.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.980 0.000 1.000 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.992 1.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.992 1.000 0.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.992 1.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.992 1.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.992 1.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 3 0.0000 0.989 0.000 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.992 1.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.0000 0.989 0.000 0.000 1.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.992 1.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.980 0.000 1.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.992 1.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.5216 0.642 0.000 0.740 0.260
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.989 0.000 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.980 0.000 1.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.980 0.000 1.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.980 0.000 1.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.992 1.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.989 0.000 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.992 1.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.992 1.000 0.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.992 1.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.992 1.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.980 0.000 1.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.980 0.000 1.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.0000 0.989 0.000 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.6192 0.277 0.420 0.580 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.980 0.000 1.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.992 1.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.992 1.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.980 0.000 1.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.980 0.000 1.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.980 0.000 1.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.980 0.000 1.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.992 1.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.992 1.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.992 1.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.992 1.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.992 1.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.992 1.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.992 1.000 0.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.989 0.000 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.980 0.000 1.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.980 0.000 1.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.5948 0.436 0.640 0.360 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.992 1.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.0000 0.989 0.000 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.989 0.000 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.980 0.000 1.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.992 1.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.992 1.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.992 1.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.0000 0.989 0.000 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.989 0.000 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.989 0.000 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.6204 0.259 0.000 0.424 0.576
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.992 1.000 0.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.992 1.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.0237 0.985 0.004 0.000 0.996
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.980 0.000 1.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.992 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.992 1.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.0000 0.989 0.000 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.992 1.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.992 1.000 0.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.992 1.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.992 1.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.992 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.992 1.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.992 1.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.992 1.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.992 1.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.992 1.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.992 1.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.980 0.000 1.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.0000 0.989 0.000 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.992 1.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.980 0.000 1.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.980 0.000 1.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.992 1.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.992 1.000 0.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.0000 0.989 0.000 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.989 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.3266 0.724 0.000 0.000 0.832 0.168
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.4103 0.852 0.000 0.000 0.256 0.744
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.4855 0.289 0.000 0.600 0.000 0.400
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.958 0.000 0.000 1.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.3400 0.855 0.820 0.000 0.000 0.180
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.958 0.000 0.000 1.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 4 0.5070 0.414 0.000 0.372 0.008 0.620
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#> B7D1197D-B353-4839-A895-368613243FB7 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> ACCEC75A-8EDF-4D83-97DE-BD30FACAC774 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 4087D782-4CB8-4A7F-AE4B-665BADA410B8 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 0C4131D9-0CE6-4476-80F1-3B69B777B658 4 0.4103 0.852 0.000 0.000 0.256 0.744
#> 54092E76-4C27-4A4B-8348-8748FCE728A6 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> E0353276-F075-43F3-BB95-3AA315D40505 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 580F828B-2333-48F7-BA05-E9B6EF1AA3D5 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> C051D793-4538-4D76-BFC2-0C08EAA57371 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 50893EF9-5D78-4731-B614-8E7F4AC5FA5F 1 0.0188 0.926 0.996 0.000 0.000 0.004
#> F235BBBB-4364-4BEE-88C8-9075208D1B96 3 0.0000 0.958 0.000 0.000 1.000 0.000
#> 73A25F6E-99C8-4C55-9E6C-8457BE8E44C0 2 0.3801 0.699 0.000 0.780 0.000 0.220
#> 4C7213E4-7845-49FC-924A-2BC7A7AEB519 3 0.0000 0.958 0.000 0.000 1.000 0.000
#> B8E40A95-9DF7-4EEE-B7D9-D17FA6B8AB2C 1 0.2469 0.887 0.892 0.000 0.000 0.108
#> 766E5BEF-D5FC-4C60-831C-88667F858375 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 31110A59-6DD4-4EDD-A056-C45DBC8966CC 1 0.0707 0.923 0.980 0.000 0.000 0.020
#> 0816836B-3F01-45BC-A843-00867E98FAD7 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 708F24EB-4551-4A3F-8E59-FA76ABE305D7 1 0.3400 0.855 0.820 0.000 0.000 0.180
#> 6EF22E72-6FCD-4645-8E8A-F6F117387082 1 0.3400 0.855 0.820 0.000 0.000 0.180
#> 680DFFFE-43F3-4A48-A662-FFE89FB43B04 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 4BB7CD09-ECE2-4774-B82C-949B6558C4D2 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 10E55344-362E-4982-B9EF-BE428086D27E 3 0.0469 0.951 0.000 0.000 0.988 0.012
#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.3649 0.843 0.796 0.000 0.000 0.204
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 4 0.0921 0.674 0.000 0.000 0.028 0.972
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.0921 0.921 0.972 0.000 0.000 0.028
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 4 0.4103 0.852 0.000 0.000 0.256 0.744
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 3 0.0000 0.958 0.000 0.000 1.000 0.000
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 4 0.4103 0.852 0.000 0.000 0.256 0.744
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 3 0.0000 0.958 0.000 0.000 1.000 0.000
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 347C4168-42C5-494B-8080-2C244F6201FF 1 0.7410 0.491 0.516 0.228 0.000 0.256
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 3 0.1118 0.912 0.000 0.000 0.964 0.036
#> 59363737-247E-4524-B7CD-F43B2C861027 4 0.4103 0.852 0.000 0.000 0.256 0.744
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 4 0.4103 0.852 0.000 0.000 0.256 0.744
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0707 0.923 0.980 0.000 0.000 0.020
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 4 0.4103 0.852 0.000 0.000 0.256 0.744
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 4 0.4500 0.520 0.000 0.316 0.000 0.684
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 4 0.4103 0.852 0.000 0.000 0.256 0.744
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 4 0.4103 0.852 0.000 0.000 0.256 0.744
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 3 0.4688 0.685 0.080 0.000 0.792 0.128
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.4103 0.812 0.744 0.000 0.000 0.256
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.1118 0.919 0.964 0.000 0.000 0.036
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0000 0.958 0.000 0.000 1.000 0.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.0469 0.951 0.000 0.000 0.988 0.012
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.3400 0.855 0.820 0.000 0.000 0.180
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.0000 0.958 0.000 0.000 1.000 0.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.3400 0.855 0.820 0.000 0.000 0.180
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.4103 0.812 0.744 0.000 0.000 0.256
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 4 0.0000 0.651 0.000 0.000 0.000 1.000
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0000 0.958 0.000 0.000 1.000 0.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0592 0.924 0.984 0.000 0.000 0.016
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.4103 0.852 0.000 0.000 0.256 0.744
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.4103 0.852 0.000 0.000 0.256 0.744
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 4 0.6554 0.412 0.000 0.376 0.084 0.540
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.958 0.000 0.000 1.000 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.958 0.000 0.000 1.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0469 0.925 0.988 0.000 0.000 0.012
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.2589 0.887 0.884 0.000 0.000 0.116
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.1940 0.899 0.924 0.000 0.000 0.076
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.4103 0.852 0.000 0.000 0.256 0.744
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.7768 0.147 0.428 0.260 0.000 0.312
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0469 0.925 0.988 0.000 0.000 0.012
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.4103 0.812 0.744 0.000 0.000 0.256
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0921 0.921 0.972 0.000 0.000 0.028
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.4103 0.812 0.744 0.000 0.000 0.256
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0336 0.954 0.000 0.000 0.992 0.008
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.4250 0.598 0.000 0.724 0.000 0.276
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 4 0.0000 0.651 0.000 0.000 0.000 1.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.4103 0.852 0.000 0.000 0.256 0.744
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0188 0.956 0.000 0.000 0.996 0.004
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.1940 0.899 0.924 0.000 0.000 0.076
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.4103 0.812 0.744 0.000 0.000 0.256
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.4103 0.812 0.744 0.000 0.000 0.256
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.4103 0.852 0.000 0.000 0.256 0.744
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.958 0.000 0.000 1.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.958 0.000 0.000 1.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 4 0.7659 0.422 0.000 0.244 0.296 0.460
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.3400 0.853 0.820 0.000 0.000 0.180
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.3400 0.855 0.820 0.000 0.000 0.180
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.5917 0.467 0.056 0.000 0.624 0.320
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.4103 0.812 0.744 0.000 0.000 0.256
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.4103 0.852 0.000 0.000 0.256 0.744
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.1940 0.899 0.924 0.000 0.000 0.076
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.4103 0.812 0.744 0.000 0.000 0.256
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0921 0.922 0.972 0.000 0.000 0.028
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0921 0.921 0.972 0.000 0.000 0.028
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.4103 0.812 0.744 0.000 0.000 0.256
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.4103 0.812 0.744 0.000 0.000 0.256
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.926 1.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.4103 0.852 0.000 0.000 0.256 0.744
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.3400 0.855 0.820 0.000 0.000 0.180
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.984 0.000 1.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.4103 0.812 0.744 0.000 0.000 0.256
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.4103 0.812 0.744 0.000 0.000 0.256
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.4103 0.852 0.000 0.000 0.256 0.744
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.958 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.1012 9.43e-01 0.000 0.000 0.968 0.020 0.012
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0404 8.73e-01 0.988 0.000 0.000 0.000 0.012
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.0703 9.45e-01 0.000 0.000 0.024 0.976 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 8.80e-01 1.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0609 8.74e-01 0.980 0.000 0.000 0.020 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 9.79e-01 0.000 1.000 0.000 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0162 9.78e-01 0.000 0.996 0.000 0.004 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 9.79e-01 0.000 1.000 0.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0671 9.70e-01 0.000 0.980 0.000 0.004 0.016
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.4331 3.02e-01 0.000 0.596 0.000 0.400 0.004
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 9.63e-01 0.000 0.000 1.000 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 5 0.3912 6.98e-01 0.228 0.000 0.000 0.020 0.752
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#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.4723 1.56e-01 0.000 0.536 0.000 0.448 0.016
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 9.79e-01 0.000 1.000 0.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.3366 5.65e-01 0.000 0.000 0.000 0.232 0.768
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0162 8.79e-01 0.996 0.000 0.000 0.004 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.0703 9.45e-01 0.000 0.000 0.024 0.976 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0290 9.62e-01 0.000 0.000 0.992 0.000 0.008
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 9.79e-01 0.000 1.000 0.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.3274 6.51e-01 0.780 0.000 0.000 0.000 0.220
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.0703 8.43e-01 0.024 0.000 0.000 0.000 0.976
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.0992 8.42e-01 0.024 0.000 0.000 0.008 0.968
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0703 9.45e-01 0.000 0.000 0.024 0.976 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 9.63e-01 0.000 0.000 1.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 9.63e-01 0.000 0.000 1.000 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 4 0.5581 5.74e-01 0.000 0.140 0.224 0.636 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.3752 5.52e-01 0.292 0.000 0.000 0.000 0.708
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.3912 6.92e-01 0.228 0.000 0.000 0.020 0.752
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.5215 5.88e-01 0.000 0.000 0.664 0.240 0.096
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0671 9.70e-01 0.000 0.980 0.000 0.004 0.016
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 8.80e-01 1.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.1106 8.42e-01 0.024 0.000 0.000 0.012 0.964
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0703 9.45e-01 0.000 0.000 0.024 0.976 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.3210 6.56e-01 0.788 0.000 0.000 0.000 0.212
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.0703 8.43e-01 0.024 0.000 0.000 0.000 0.976
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 8.80e-01 1.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.4659 9.36e-05 0.496 0.000 0.000 0.012 0.492
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 8.80e-01 1.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 8.80e-01 1.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.3999 6.46e-01 0.740 0.000 0.000 0.020 0.240
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0404 8.77e-01 0.988 0.000 0.000 0.012 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.0703 8.43e-01 0.024 0.000 0.000 0.000 0.976
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.0703 8.43e-01 0.024 0.000 0.000 0.000 0.976
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 8.80e-01 1.000 0.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 9.79e-01 0.000 1.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0703 9.45e-01 0.000 0.000 0.024 0.976 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.3551 7.11e-01 0.220 0.000 0.000 0.008 0.772
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 9.79e-01 0.000 1.000 0.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 9.79e-01 0.000 1.000 0.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.1106 8.42e-01 0.024 0.000 0.000 0.012 0.964
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.0992 8.42e-01 0.024 0.000 0.000 0.008 0.968
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0703 9.45e-01 0.000 0.000 0.024 0.976 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0290 9.62e-01 0.000 0.000 0.992 0.000 0.008
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.2912 0.8370 0.000 0.000 0.784 0.000 0.000 0.216
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.2361 0.7802 0.884 0.000 0.000 0.000 0.028 0.088
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.0260 0.9154 0.000 0.000 0.008 0.992 0.000 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0363 0.8219 0.988 0.000 0.000 0.000 0.000 0.012
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 6 0.3868 0.1804 0.496 0.000 0.000 0.000 0.000 0.504
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0146 0.9268 0.000 0.996 0.000 0.000 0.000 0.004
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.1387 0.9158 0.000 0.932 0.000 0.000 0.000 0.068
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.1556 0.9100 0.000 0.920 0.000 0.000 0.000 0.080
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.2964 0.8448 0.000 0.792 0.000 0.004 0.000 0.204
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.5439 0.1418 0.000 0.472 0.000 0.408 0.000 0.120
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.9367 0.000 0.000 1.000 0.000 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 6 0.5012 0.6340 0.088 0.000 0.000 0.000 0.336 0.576
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.5428 0.2958 0.540 0.000 0.000 0.000 0.140 0.320
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.9367 0.000 0.000 1.000 0.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 4 0.4904 0.5665 0.000 0.236 0.000 0.644 0.000 0.120
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.2964 0.8448 0.000 0.792 0.000 0.004 0.000 0.204
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 6 0.5413 0.7332 0.192 0.000 0.000 0.000 0.228 0.580
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0260 0.9154 0.000 0.000 0.008 0.992 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.2135 0.9234 0.000 0.000 0.872 0.000 0.000 0.128
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.3784 0.5214 0.680 0.000 0.000 0.000 0.012 0.308
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0458 0.8182 0.984 0.000 0.000 0.000 0.000 0.016
#> BA285E50-200E-4B98-9F8B-904AD679CD45 6 0.5343 0.7144 0.156 0.000 0.000 0.000 0.264 0.580
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.2964 0.8448 0.000 0.792 0.000 0.004 0.000 0.204
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0260 0.9317 0.000 0.000 0.992 0.000 0.000 0.008
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0777 0.9162 0.000 0.972 0.000 0.004 0.000 0.024
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.2431 0.7296 0.860 0.000 0.000 0.000 0.132 0.008
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.2135 0.9234 0.000 0.000 0.872 0.000 0.000 0.128
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0146 0.9268 0.000 0.996 0.000 0.000 0.000 0.004
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0260 0.9268 0.000 0.992 0.000 0.000 0.000 0.008
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0146 0.9268 0.000 0.996 0.000 0.000 0.000 0.004
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0547 0.8209 0.980 0.000 0.000 0.000 0.000 0.020
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.9272 0.000 1.000 0.000 0.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.9272 0.000 1.000 0.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9272 0.000 1.000 0.000 0.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.9367 0.000 0.000 1.000 0.000 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.2632 0.6170 0.000 0.000 0.000 0.004 0.832 0.164
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 5 0.6075 -0.2650 0.280 0.000 0.000 0.000 0.396 0.324
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.5587 0.2440 0.524 0.000 0.000 0.000 0.168 0.308
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0260 0.9154 0.000 0.000 0.008 0.992 0.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 6 0.5156 0.6733 0.112 0.000 0.000 0.000 0.308 0.580
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.1501 0.9109 0.000 0.924 0.000 0.000 0.000 0.076
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.9367 0.000 0.000 1.000 0.000 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.4533 0.5168 0.652 0.000 0.000 0.000 0.284 0.064
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.0935 0.6823 0.000 0.000 0.000 0.004 0.964 0.032
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0260 0.9268 0.000 0.992 0.000 0.000 0.000 0.008
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 6 0.5217 0.7211 0.160 0.000 0.000 0.000 0.232 0.608
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.1075 0.8149 0.952 0.000 0.000 0.000 0.000 0.048
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.1204 0.9186 0.000 0.944 0.000 0.000 0.000 0.056
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.9367 0.000 0.000 1.000 0.000 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.2389 0.9216 0.000 0.000 0.864 0.008 0.000 0.128
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 6 0.4862 0.5606 0.084 0.000 0.060 0.000 0.128 0.728
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0363 0.8224 0.988 0.000 0.000 0.000 0.000 0.012
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 3 0.5549 0.4874 0.000 0.020 0.616 0.160 0.000 0.204
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.1075 0.6821 0.000 0.000 0.000 0.000 0.952 0.048
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0291 0.8221 0.992 0.000 0.000 0.000 0.004 0.004
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.2964 0.8448 0.000 0.792 0.000 0.004 0.000 0.204
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0260 0.9154 0.000 0.000 0.008 0.992 0.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.1610 0.7899 0.916 0.000 0.000 0.000 0.000 0.084
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.2135 0.9234 0.000 0.000 0.872 0.000 0.000 0.128
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.6136 0.2844 0.000 0.496 0.000 0.064 0.356 0.084
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 4 0.1753 0.8599 0.000 0.000 0.004 0.912 0.000 0.084
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0632 0.8157 0.976 0.000 0.000 0.000 0.000 0.024
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 5 0.0777 0.6774 0.000 0.000 0.000 0.004 0.972 0.024
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0260 0.9154 0.000 0.000 0.008 0.992 0.000 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 5 0.0790 0.6825 0.000 0.000 0.000 0.000 0.968 0.032
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.1327 0.8085 0.936 0.000 0.000 0.000 0.000 0.064
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.3103 0.7287 0.836 0.000 0.000 0.000 0.100 0.064
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 5 0.1814 0.6527 0.000 0.000 0.000 0.000 0.900 0.100
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0260 0.9154 0.000 0.000 0.008 0.992 0.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.3544 0.6987 0.800 0.000 0.000 0.000 0.120 0.080
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.9272 0.000 1.000 0.000 0.000 0.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.2003 0.7695 0.884 0.000 0.000 0.000 0.000 0.116
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.2135 0.9234 0.000 0.000 0.872 0.000 0.000 0.128
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0260 0.8222 0.992 0.000 0.000 0.000 0.000 0.008
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.2595 0.8739 0.000 0.836 0.000 0.004 0.000 0.160
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0632 0.8200 0.976 0.000 0.000 0.000 0.000 0.024
#> D209EAAE-2A01-4CD4-9987-272F17352574 5 0.2979 0.6221 0.000 0.000 0.000 0.116 0.840 0.044
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 4 0.4018 0.5095 0.000 0.000 0.000 0.656 0.324 0.020
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 5 0.0935 0.6823 0.000 0.000 0.000 0.004 0.964 0.032
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.9367 0.000 0.000 1.000 0.000 0.000 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.2491 0.7309 0.836 0.000 0.000 0.000 0.000 0.164
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0146 0.9268 0.000 0.996 0.000 0.000 0.000 0.004
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0260 0.8224 0.992 0.000 0.000 0.000 0.000 0.008
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 6 0.5331 0.7189 0.268 0.000 0.000 0.000 0.152 0.580
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.9367 0.000 0.000 1.000 0.000 0.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 6 0.5409 0.7317 0.188 0.000 0.000 0.000 0.232 0.580
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.0260 0.9154 0.000 0.000 0.008 0.992 0.000 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.1204 0.9206 0.000 0.944 0.000 0.000 0.000 0.056
#> 8AA6D751-D111-42EE-B874-D82769F4A888 5 0.3717 0.2224 0.000 0.000 0.000 0.000 0.616 0.384
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.8215 1.000 0.000 0.000 0.000 0.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 6 0.5344 0.7252 0.172 0.000 0.000 0.000 0.240 0.588
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0458 0.8182 0.984 0.000 0.000 0.000 0.000 0.016
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.0260 0.9154 0.000 0.000 0.008 0.992 0.000 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.0260 0.9154 0.000 0.000 0.008 0.992 0.000 0.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 6 0.5409 0.7341 0.232 0.000 0.000 0.000 0.188 0.580
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 4 0.4926 0.5609 0.000 0.240 0.000 0.640 0.000 0.120
#> E3671E10-825D-499B-B949-D5033855C744 1 0.5731 0.2367 0.516 0.000 0.000 0.000 0.224 0.260
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 6 0.4469 0.3187 0.028 0.000 0.000 0.000 0.468 0.504
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.1204 0.9186 0.000 0.944 0.000 0.000 0.000 0.056
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.9367 0.000 0.000 1.000 0.000 0.000 0.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0632 0.8157 0.976 0.000 0.000 0.000 0.000 0.024
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#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.3960 0.6381 0.752 0.000 0.000 0.000 0.176 0.072
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#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0146 0.9268 0.000 0.996 0.000 0.000 0.000 0.004
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#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.2389 0.9216 0.000 0.000 0.864 0.008 0.000 0.128
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#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0146 0.9268 0.000 0.996 0.000 0.000 0.000 0.004
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#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.2219 0.9193 0.000 0.000 0.864 0.000 0.000 0.136
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 5 0.5071 -0.3578 0.076 0.000 0.000 0.000 0.480 0.444
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#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 6 0.4658 0.5388 0.384 0.000 0.000 0.000 0.048 0.568
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0632 0.8200 0.976 0.000 0.000 0.000 0.000 0.024
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#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.0260 0.9154 0.000 0.000 0.008 0.992 0.000 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.3552 0.7096 0.800 0.000 0.000 0.000 0.116 0.084
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.0260 0.9154 0.000 0.000 0.008 0.992 0.000 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.2527 0.7109 0.832 0.000 0.000 0.000 0.000 0.168
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.9272 0.000 1.000 0.000 0.000 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0632 0.8157 0.976 0.000 0.000 0.000 0.000 0.024
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 4 0.4166 0.7023 0.000 0.076 0.000 0.728 0.000 0.196
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.9367 0.000 0.000 1.000 0.000 0.000 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.1075 0.9193 0.000 0.952 0.000 0.000 0.000 0.048
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.9272 0.000 1.000 0.000 0.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.2964 0.8448 0.000 0.792 0.000 0.004 0.000 0.204
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.5142 0.4806 0.624 0.000 0.000 0.000 0.172 0.204
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.9367 0.000 0.000 1.000 0.000 0.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 6 0.5219 0.6804 0.316 0.000 0.000 0.000 0.116 0.568
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 6 0.4638 0.6825 0.152 0.000 0.000 0.000 0.156 0.692
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.2302 0.7392 0.872 0.000 0.000 0.000 0.120 0.008
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.1663 0.7868 0.912 0.000 0.000 0.000 0.000 0.088
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0146 0.9268 0.000 0.996 0.000 0.000 0.000 0.004
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.2964 0.8448 0.000 0.792 0.000 0.004 0.000 0.204
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0260 0.9154 0.000 0.000 0.008 0.992 0.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 5 0.5415 0.4314 0.176 0.004 0.000 0.004 0.616 0.200
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0146 0.9268 0.000 0.996 0.000 0.000 0.000 0.004
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 6 0.5109 0.6618 0.328 0.000 0.000 0.000 0.100 0.572
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0937 0.8151 0.960 0.000 0.000 0.000 0.000 0.040
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0146 0.9268 0.000 0.996 0.000 0.000 0.000 0.004
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0146 0.9268 0.000 0.996 0.000 0.000 0.000 0.004
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.9272 0.000 1.000 0.000 0.000 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.1387 0.9158 0.000 0.932 0.000 0.000 0.000 0.068
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.1686 0.7904 0.924 0.000 0.000 0.000 0.012 0.064
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.3684 0.3158 0.628 0.000 0.000 0.000 0.000 0.372
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 5 0.3672 0.2697 0.000 0.000 0.000 0.000 0.632 0.368
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0713 0.8189 0.972 0.000 0.000 0.000 0.000 0.028
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 6 0.5398 0.7320 0.240 0.000 0.000 0.000 0.180 0.580
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.3867 -0.1365 0.512 0.000 0.000 0.000 0.000 0.488
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.1007 0.6722 0.000 0.000 0.000 0.000 0.956 0.044
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.2389 0.9216 0.000 0.000 0.864 0.008 0.000 0.128
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.5883 0.1787 0.000 0.436 0.000 0.360 0.000 0.204
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.9272 0.000 1.000 0.000 0.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.3770 0.4814 0.000 0.000 0.000 0.244 0.728 0.028
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.2048 0.7659 0.880 0.000 0.000 0.000 0.000 0.120
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.0260 0.9154 0.000 0.000 0.008 0.992 0.000 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.2135 0.9234 0.000 0.000 0.872 0.000 0.000 0.128
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.9272 0.000 1.000 0.000 0.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.4253 0.5923 0.704 0.000 0.000 0.000 0.232 0.064
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.2300 0.6198 0.000 0.000 0.000 0.000 0.856 0.144
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.2378 0.6165 0.000 0.000 0.000 0.000 0.848 0.152
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0260 0.9154 0.000 0.000 0.008 0.992 0.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9367 0.000 0.000 1.000 0.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.9367 0.000 0.000 1.000 0.000 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 4 0.5352 0.5657 0.000 0.236 0.144 0.612 0.000 0.008
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.3885 0.5055 0.180 0.000 0.000 0.000 0.756 0.064
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 6 0.4775 0.6397 0.084 0.000 0.000 0.000 0.284 0.632
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 6 0.5159 0.3441 0.016 0.000 0.148 0.088 0.036 0.712
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.2964 0.8448 0.000 0.792 0.000 0.004 0.000 0.204
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.8215 1.000 0.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.3774 0.1571 0.000 0.000 0.000 0.000 0.592 0.408
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0260 0.9154 0.000 0.000 0.008 0.992 0.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.2527 0.7418 0.868 0.000 0.000 0.000 0.108 0.024
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.0603 0.6831 0.000 0.000 0.000 0.004 0.980 0.016
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0937 0.8151 0.960 0.000 0.000 0.000 0.000 0.040
#> D841D893-0126-4D5A-A5A0-955172379E32 5 0.5834 -0.3042 0.188 0.000 0.000 0.000 0.424 0.388
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0458 0.8215 0.984 0.000 0.000 0.000 0.000 0.016
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0632 0.8200 0.976 0.000 0.000 0.000 0.000 0.024
#> 024E382A-6D24-48D0-8568-6297A71462E7 6 0.5354 0.7233 0.260 0.000 0.000 0.000 0.160 0.580
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.3817 0.1067 0.568 0.000 0.000 0.000 0.000 0.432
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.2402 0.6321 0.004 0.000 0.000 0.000 0.856 0.140
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.0547 0.6772 0.000 0.000 0.000 0.000 0.980 0.020
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0632 0.8157 0.976 0.000 0.000 0.000 0.000 0.024
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9272 0.000 1.000 0.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0260 0.9154 0.000 0.000 0.008 0.992 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.5138 0.1812 0.128 0.000 0.000 0.000 0.604 0.268
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0146 0.9268 0.000 0.996 0.000 0.000 0.000 0.004
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0146 0.9268 0.000 0.996 0.000 0.000 0.000 0.004
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.3756 0.1783 0.000 0.000 0.000 0.000 0.600 0.400
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.2278 0.6344 0.000 0.000 0.000 0.004 0.868 0.128
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0260 0.9154 0.000 0.000 0.008 0.992 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.2135 0.9234 0.000 0.000 0.872 0.000 0.000 0.128
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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 4.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.828 0.927 0.969 0.4996 0.500 0.500
#> 3 3 0.974 0.952 0.980 0.2732 0.815 0.648
#> 4 4 0.974 0.943 0.978 0.0425 0.964 0.903
#> 5 5 0.813 0.745 0.865 0.0892 0.959 0.879
#> 6 6 0.789 0.602 0.791 0.0424 0.882 0.642
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 4
#> attr(,"optional")
#> [1] 3
There is also optional best \(k\) = 3 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.8207 0.67769 0.744 0.256
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.97041 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.0000 0.96396 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.97041 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.97041 1.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.3274 0.91298 0.060 0.940
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.96396 0.000 1.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.96396 0.000 1.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.96396 0.000 1.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.96396 0.000 1.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.0000 0.96396 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.97041 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.97041 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.5946 0.82832 0.144 0.856
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.96396 0.000 1.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.96396 0.000 1.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.97041 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0000 0.96396 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 1 0.9000 0.54216 0.684 0.316
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.97041 1.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.97041 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.97041 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.1633 0.94471 0.024 0.976
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.5294 0.85727 0.880 0.120
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.96396 0.000 1.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.97041 1.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.0000 0.96396 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.96396 0.000 1.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.96396 0.000 1.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.96396 0.000 1.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.97041 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.96396 0.000 1.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.96396 0.000 1.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.96396 0.000 1.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.0000 0.96396 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.97041 1.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.97041 1.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.97041 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0000 0.96396 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.97041 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.96396 0.000 1.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.0672 0.95801 0.008 0.992
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.97041 1.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.5737 0.83521 0.864 0.136
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.96396 0.000 1.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.97041 1.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.97041 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.96396 0.000 1.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.0000 0.96396 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.0000 0.96396 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.97041 1.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.97041 1.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.0000 0.96396 0.000 1.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.97041 1.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.97041 1.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.96396 0.000 1.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.0000 0.96396 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.97041 1.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 2 0.9393 0.46728 0.356 0.644
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.96396 0.000 1.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.8499 0.61561 0.276 0.724
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.97041 1.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.9970 0.11277 0.532 0.468
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.0000 0.96396 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.97041 1.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.97041 1.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.97041 1.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.0000 0.97041 1.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.0000 0.96396 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.97041 1.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.96396 0.000 1.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.97041 1.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 1 0.6623 0.79287 0.828 0.172
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.97041 1.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.96396 0.000 1.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.97041 1.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.8327 0.64695 0.736 0.264
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 2 0.5294 0.85409 0.120 0.880
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.5737 0.83521 0.864 0.136
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 2 0.0000 0.96396 0.000 1.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.97041 1.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.96396 0.000 1.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.97041 1.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.97041 1.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 2 0.5946 0.82832 0.144 0.856
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.97041 1.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 2 0.0000 0.96396 0.000 1.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.96396 0.000 1.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.97041 1.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.97041 1.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.97041 1.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.97041 1.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.0000 0.96396 0.000 1.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.0000 0.96396 0.000 1.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.97041 1.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.0000 0.96396 0.000 1.000
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.97041 1.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.97041 1.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.96396 0.000 1.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 1 0.5519 0.84828 0.872 0.128
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.97041 1.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.97041 1.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.96396 0.000 1.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.97041 1.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 2 0.0000 0.96396 0.000 1.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.97041 1.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0000 0.96396 0.000 1.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.0000 0.96396 0.000 1.000
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.5294 0.84989 0.120 0.880
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 2 0.8144 0.68798 0.252 0.748
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0000 0.96396 0.000 1.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.0000 0.97041 1.000 0.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0000 0.96396 0.000 1.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.0000 0.97041 1.000 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.97041 1.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.0000 0.96396 0.000 1.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.97041 1.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.3114 0.91612 0.056 0.944
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.0000 0.97041 1.000 0.000
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.0000 0.96396 0.000 1.000
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 2 0.0000 0.96396 0.000 1.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.0000 0.97041 1.000 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0000 0.97041 1.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.97041 1.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 2 0.8267 0.67577 0.260 0.740
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.0000 0.96396 0.000 1.000
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 1 1.0000 -0.00431 0.504 0.496
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.97041 1.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.0000 0.96396 0.000 1.000
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.97041 1.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 2 0.0000 0.96396 0.000 1.000
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 2 0.0000 0.96396 0.000 1.000
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.0000 0.96396 0.000 1.000
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.0000 0.96396 0.000 1.000
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.0000 0.97041 1.000 0.000
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 2 0.7528 0.73388 0.216 0.784
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 1 0.0000 0.97041 1.000 0.000
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.0000 0.96396 0.000 1.000
#> 4C15BE7F-B855-4670-9E38-0A626527D981 2 0.5946 0.82832 0.144 0.856
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.0000 0.96396 0.000 1.000
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.0000 0.97041 1.000 0.000
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 2 0.0000 0.96396 0.000 1.000
#> 0CE75D6A-B796-4982-9405-1602F9468945 1 0.0000 0.97041 1.000 0.000
#> EAB94BCC-7CF2-462C-87A2-7B464BADA4AC 1 0.0000 0.97041 1.000 0.000
#> 563EB6A9-F589-49A8-89B2-2F1185C65C4E 1 0.0000 0.97041 1.000 0.000
#> 53DA4154-2ACE-4D7F-98AD-257C8B986DA2 1 0.0000 0.97041 1.000 0.000
#> B2EA5A29-4642-4364-A733-C30E5A9FA38E 2 0.0000 0.96396 0.000 1.000
#> 38078B54-6BBA-4696-BB22-9D5FC49E631D 1 0.0000 0.97041 1.000 0.000
#> F5A64B5A-54BA-41A1-8CA2-75D27C5680D3 1 0.0000 0.97041 1.000 0.000
#> 1506AC5C-E9D2-469A-8B74-AD6FDA81031B 1 0.0000 0.97041 1.000 0.000
#> D8E31979-B4A1-4799-A6FE-8B2286290F53 2 0.0000 0.96396 0.000 1.000
#> 783FA571-A31A-4852-855B-4E8009A9C8F1 1 0.0000 0.97041 1.000 0.000
#> D8758939-ACDC-444E-A980-5AC342E107A8 1 0.0000 0.97041 1.000 0.000
#> D7D4461C-60DA-4EE9-80FC-0D98CB87BA8F 2 0.0000 0.96396 0.000 1.000
#> 5C8E4F70-8C40-4036-B69A-11F9D0BC6243 1 0.0000 0.97041 1.000 0.000
#> 97E25CCB-1D3A-435A-9273-75DD8B25610A 1 0.0000 0.97041 1.000 0.000
#> 59B0A79B-00CA-480A-A7EC-F3EA73B1465A 2 0.5946 0.82832 0.144 0.856
#> 06E96222-F5E3-4DB1-A6CD-1889B8D54C6F 2 0.9977 0.07589 0.472 0.528
#> EAE40D3B-BC6E-466C-AA9E-01E85B82ED8B 2 0.0000 0.96396 0.000 1.000
#> B5470009-9751-4D1B-8E34-60C6BF272059 2 0.0000 0.96396 0.000 1.000
#> E5539B0E-FBE9-4945-9FE3-5FA2DCAE963B 2 0.5294 0.84989 0.120 0.880
#> E1362AB7-709E-4125-BDB6-1DBEA40773C2 1 0.5294 0.85727 0.880 0.120
#> 04854F35-F6F3-480B-8DB1-C81A27929508 2 0.0000 0.96396 0.000 1.000
#> DB9F5784-A3D2-4B4D-B9F4-61A50C77C887 2 0.0000 0.96396 0.000 1.000
#> 0B6F39DB-0ED4-40F8-9D01-912EE64630D4 2 0.0000 0.96396 0.000 1.000
#> 95B78C91-C27C-412D-971F-8C37FAA12D2F 1 0.0000 0.97041 1.000 0.000
#> 26065E87-5EC3-4A02-9FC1-283F2751D722 1 0.0000 0.97041 1.000 0.000
#> 4274ED54-92C4-436A-915D-1CF855611BEC 1 0.0000 0.97041 1.000 0.000
#> C6586E83-11C5-4D9C-941D-6B73A542214B 1 0.0000 0.97041 1.000 0.000
#> F126BC05-CF70-4AC4-86A4-175413710910 2 0.5946 0.82832 0.144 0.856
#> C03D7F9D-8A75-4298-B3B8-1C2F1C883182 2 0.0000 0.96396 0.000 1.000
#> BF92BAB0-5086-4408-80D3-05B9CCFDA176 1 0.0000 0.97041 1.000 0.000
#> B1090911-50A7-4DFB-9050-5D205BE8568E 2 0.8207 0.68233 0.256 0.744
#> C92520DF-8D24-4E8F-9FF5-03945962A09A 2 0.0000 0.96396 0.000 1.000
#> 11EC0F2D-2BA8-4407-99F5-A0D0B1D7B0C0 1 0.0000 0.97041 1.000 0.000
#> 633560A2-5165-4F8D-B715-85A537C046CE 1 0.5294 0.85727 0.880 0.120
#> 79A03652-6493-40E8-93EC-431B6D797F65 1 0.0000 0.97041 1.000 0.000
#> 0572C254-447A-425C-BD88-2EE4BFDE8BEC 1 0.5737 0.83521 0.864 0.136
#> 6FBCEADE-1A61-4D62-BAD0-88DDB21D95D7 1 0.0000 0.97041 1.000 0.000
#> ABB7CDD0-71C6-4813-9A1E-4CE9B2F88884 2 0.0000 0.96396 0.000 1.000
#> 4EB7A75C-86C9-4C01-AF4B-AD541D3E3EB0 1 0.0000 0.97041 1.000 0.000
#> E8C03A3A-37E5-42D2-96B6-6E6A2586AA3E 2 0.0000 0.96396 0.000 1.000
#> 6D09CAE7-F8BE-4B9D-8B78-5D8DDE663AC0 1 0.0000 0.97041 1.000 0.000
#> D07DD787-C4AC-4E10-B751-0543CB93C44F 1 0.0000 0.97041 1.000 0.000
#> 65797413-33DA-446B-8979-E3DAD90871FC 2 0.0000 0.96396 0.000 1.000
#> E815E86E-1179-4207-9D4D-DEEF48027CE7 2 0.0000 0.96396 0.000 1.000
#> 82BE2393-49E7-4817-A5E2-43EF17353C0A 1 0.5294 0.85727 0.880 0.120
#> FF79EA58-51FF-4B1F-9A88-5EC38D481B26 1 0.0000 0.97041 1.000 0.000
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#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 2 0.1414 0.94893 0.020 0.980
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.0000 0.96396 0.000 1.000
#> 347C4168-42C5-494B-8080-2C244F6201FF 1 0.4562 0.88095 0.904 0.096
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0000 0.96396 0.000 1.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 1 0.5294 0.85727 0.880 0.120
#> 59363737-247E-4524-B7CD-F43B2C861027 2 0.0000 0.96396 0.000 1.000
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 1 0.5408 0.85303 0.876 0.124
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0000 0.97041 1.000 0.000
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 2 0.0000 0.96396 0.000 1.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.0000 0.96396 0.000 1.000
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 2 0.0000 0.96396 0.000 1.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0000 0.96396 0.000 1.000
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 2 0.0000 0.96396 0.000 1.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.97041 1.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.0000 0.97041 1.000 0.000
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.97041 1.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.97041 1.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.96396 0.000 1.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.97041 1.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.97041 1.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.97041 1.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.97041 1.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.97041 1.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.97041 1.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.96396 0.000 1.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.96396 0.000 1.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 2 0.0376 0.96102 0.004 0.996
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.96396 0.000 1.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 2 0.0000 0.96396 0.000 1.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.97041 1.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.96396 0.000 1.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.97041 1.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 1 0.5294 0.85727 0.880 0.120
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.97041 1.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.97041 1.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0000 0.96396 0.000 1.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.0938 0.95520 0.012 0.988
#> B9009D40-10AC-48B3-9495-865BCE904CB1 1 0.9988 0.06083 0.520 0.480
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.96396 0.000 1.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.97041 1.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.97041 1.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.97041 1.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.97041 1.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.97041 1.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 2 0.0000 0.96396 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.97041 1.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 1 0.5294 0.85727 0.880 0.120
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.97041 1.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.96396 0.000 1.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.97041 1.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.0000 0.96396 0.000 1.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 2 0.0672 0.95801 0.008 0.992
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.96396 0.000 1.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.96396 0.000 1.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.96396 0.000 1.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.97041 1.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 2 0.5946 0.82832 0.144 0.856
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.97041 1.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.97041 1.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.97041 1.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.97041 1.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.96396 0.000 1.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.96396 0.000 1.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.0000 0.96396 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.9129 0.52427 0.328 0.672
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.96396 0.000 1.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.97041 1.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.97041 1.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.96396 0.000 1.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.96396 0.000 1.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.96396 0.000 1.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.96396 0.000 1.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.97041 1.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.97041 1.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.97041 1.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.97041 1.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.97041 1.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.97041 1.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.97041 1.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.0000 0.96396 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.96396 0.000 1.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.96396 0.000 1.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.9491 0.42758 0.632 0.368
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.97041 1.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.0000 0.96396 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 1 0.8267 0.65355 0.740 0.260
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.96396 0.000 1.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.97041 1.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.97041 1.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.97041 1.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.0000 0.96396 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 2 0.5946 0.82832 0.144 0.856
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 1 0.6048 0.82416 0.852 0.148
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.4022 0.89486 0.080 0.920
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.97041 1.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.97041 1.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.5294 0.85727 0.880 0.120
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.96396 0.000 1.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.97041 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.97041 1.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.0000 0.96396 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.97041 1.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.97041 1.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.97041 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.97041 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.97041 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.97041 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.97041 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.97041 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.97041 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.97041 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.97041 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.96396 0.000 1.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.96396 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.97041 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.96396 0.000 1.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.96396 0.000 1.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.97041 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.97041 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.0000 0.96396 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.0000 0.96396 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0424 0.970 0.000 0.008 0.992
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.977 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.0000 0.977 0.000 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.977 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.977 1.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.983 0.000 1.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.983 0.000 1.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.983 0.000 1.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.983 0.000 1.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.983 0.000 1.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.977 0.000 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.977 1.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.977 1.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.977 0.000 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.4399 0.763 0.000 0.812 0.188
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.983 0.000 1.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.977 1.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.0424 0.971 0.000 0.008 0.992
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.977 0.000 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.977 1.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.977 1.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.977 1.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.983 0.000 1.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.977 0.000 0.000 1.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.983 0.000 1.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.977 1.000 0.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.977 0.000 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.983 0.000 1.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.983 0.000 1.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.983 0.000 1.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.977 1.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.983 0.000 1.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.983 0.000 1.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.983 0.000 1.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.977 0.000 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.977 1.000 0.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.977 1.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.977 1.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.0424 0.971 0.000 0.008 0.992
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.977 1.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.983 0.000 1.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.977 0.000 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.977 1.000 0.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.5363 0.629 0.724 0.276 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.983 0.000 1.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.977 1.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.977 1.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.983 0.000 1.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.977 0.000 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.977 0.000 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.4291 0.773 0.820 0.000 0.180
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.977 1.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 3 0.6291 0.121 0.000 0.468 0.532
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.977 1.000 0.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.977 1.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.983 0.000 1.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 3 0.0000 0.977 0.000 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.977 1.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.977 0.000 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.983 0.000 1.000 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 3 0.3551 0.834 0.000 0.132 0.868
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.977 1.000 0.000 0.000
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#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.977 1.000 0.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.977 1.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.977 1.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.977 1.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 3 0.0000 0.977 0.000 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.977 1.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.0000 0.977 0.000 0.000 1.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.977 1.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.983 0.000 1.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.977 1.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.4399 0.763 0.000 0.812 0.188
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.977 0.000 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.983 0.000 1.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.983 0.000 1.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.983 0.000 1.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.977 1.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.977 0.000 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.977 1.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.977 1.000 0.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.977 1.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.977 1.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.983 0.000 1.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.983 0.000 1.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.0000 0.977 0.000 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.5363 0.629 0.724 0.276 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.983 0.000 1.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.977 1.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.977 1.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.983 0.000 1.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.983 0.000 1.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.5327 0.612 0.000 0.728 0.272
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.983 0.000 1.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.977 1.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.977 1.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.977 1.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.977 1.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.977 1.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.977 1.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.977 1.000 0.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.977 0.000 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.983 0.000 1.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.983 0.000 1.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.5835 0.503 0.660 0.340 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.977 1.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.0424 0.971 0.000 0.008 0.992
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.977 0.000 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.983 0.000 1.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.977 1.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.977 1.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.977 1.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.0000 0.977 0.000 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.977 0.000 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.977 0.000 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.6026 0.392 0.000 0.376 0.624
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.977 1.000 0.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.977 1.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.6180 0.284 0.584 0.000 0.416
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.983 0.000 1.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.977 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.977 1.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.0000 0.977 0.000 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.977 1.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.977 1.000 0.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.977 1.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.977 1.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.977 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.977 1.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.977 1.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.977 1.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.977 1.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.977 1.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.977 1.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.983 0.000 1.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.4555 0.739 0.000 0.200 0.800
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.977 1.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.983 0.000 1.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.983 0.000 1.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.977 1.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.977 1.000 0.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.0000 0.977 0.000 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.977 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.0707 0.92219 0.000 0.020 0.980 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.4356 0.56113 0.000 0.000 0.708 0.292
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.5746 0.39376 0.000 0.612 0.348 0.040
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.96699 0.000 0.000 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 0.96699 0.000 0.000 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.4134 0.63912 0.740 0.260 0.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.1792 0.90583 0.932 0.000 0.068 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 3 0.4134 0.58847 0.000 0.260 0.740 0.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0000 0.96699 0.000 0.000 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 3 0.2868 0.77156 0.000 0.136 0.864 0.000
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.4134 0.63912 0.740 0.260 0.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0000 0.96699 0.000 0.000 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0000 0.96699 0.000 0.000 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.3610 0.72906 0.800 0.200 0.000 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 4 0.7799 0.27869 0.348 0.252 0.000 0.400
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.4134 0.63912 0.740 0.260 0.000 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.97593 1.000 0.000 0.000 0.000
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#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.0000 0.96699 0.000 0.000 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.2408 0.85793 0.000 0.000 0.104 0.896
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.1940 0.90367 0.000 0.924 0.076 0.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0000 0.96699 0.000 0.000 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.4134 0.63912 0.740 0.260 0.000 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.3907 0.68172 0.000 0.768 0.232 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.6855 0.36907 0.580 0.276 0.000 0.144
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.3074 0.80212 0.000 0.000 0.152 0.848
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.96699 0.000 0.000 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.94459 0.000 0.000 1.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.6560 0.45107 0.000 0.248 0.620 0.132
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.4877 0.32408 0.408 0.000 0.592 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.96699 0.000 0.000 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.96699 0.000 0.000 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.98712 0.000 1.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.97593 1.000 0.000 0.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.96699 0.000 0.000 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.94459 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.2074 0.8385 0.000 0.000 0.896 0.000 0.104
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.4015 0.4889 0.652 0.000 0.000 0.000 0.348
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.4360 0.6101 0.000 0.000 0.680 0.300 0.020
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.2561 0.8110 0.000 0.856 0.000 0.000 0.144
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.2648 0.8098 0.000 0.848 0.000 0.000 0.152
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.2230 0.7977 0.000 0.884 0.000 0.000 0.116
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.4150 0.6960 0.000 0.612 0.000 0.000 0.388
#> 6F178361-2A14-4245-8A35-13A0174231E4 5 0.4302 -0.0401 0.000 0.480 0.000 0.000 0.520
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.8707 0.000 0.000 1.000 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.8707 0.000 0.000 1.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 5 0.7413 -0.1595 0.000 0.296 0.236 0.040 0.428
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.4030 0.7389 0.000 0.648 0.000 0.000 0.352
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.9814 0.000 0.000 0.000 1.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.3452 0.8353 0.000 0.000 0.756 0.000 0.244
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 5 0.4815 -0.3755 0.020 0.456 0.000 0.000 0.524
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0000 0.8707 0.000 0.000 1.000 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.2648 0.8098 0.000 0.848 0.000 0.000 0.152
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.3452 0.8353 0.000 0.000 0.756 0.000 0.244
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.8073 0.000 1.000 0.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.4030 0.7389 0.000 0.648 0.000 0.000 0.352
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.8073 0.000 1.000 0.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.8073 0.000 1.000 0.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.8073 0.000 1.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.2605 0.8118 0.000 0.852 0.000 0.000 0.148
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.8707 0.000 0.000 1.000 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 0.9814 0.000 0.000 0.000 1.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.3177 0.7573 0.000 0.792 0.000 0.000 0.208
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.8707 0.000 0.000 1.000 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.4268 0.1028 0.444 0.000 0.000 0.000 0.556
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.4030 0.7389 0.000 0.648 0.000 0.000 0.352
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.2648 0.8098 0.000 0.848 0.000 0.000 0.152
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.8707 0.000 0.000 1.000 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.3452 0.8353 0.000 0.000 0.756 0.000 0.244
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.3395 0.5485 0.764 0.000 0.000 0.000 0.236
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 3 0.4420 0.5109 0.000 0.028 0.692 0.000 0.280
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0703 0.8450 0.976 0.000 0.000 0.000 0.024
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.3999 0.7425 0.000 0.656 0.000 0.000 0.344
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0000 0.9814 0.000 0.000 0.000 1.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.3452 0.8353 0.000 0.000 0.756 0.000 0.244
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 5 0.4268 -0.2208 0.000 0.444 0.000 0.000 0.556
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 3 0.3966 0.7600 0.000 0.000 0.664 0.000 0.336
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.4300 0.2028 0.524 0.000 0.000 0.000 0.476
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0000 0.9814 0.000 0.000 0.000 1.000 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0000 0.9814 0.000 0.000 0.000 1.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.3109 0.7587 0.000 0.800 0.000 0.000 0.200
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.3452 0.8353 0.000 0.000 0.756 0.000 0.244
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.3636 0.5919 0.728 0.000 0.000 0.000 0.272
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#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0290 0.8567 0.992 0.000 0.000 0.000 0.008
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 4 0.0000 0.9814 0.000 0.000 0.000 1.000 0.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.4045 0.7350 0.000 0.644 0.000 0.000 0.356
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 4 0.0000 0.9814 0.000 0.000 0.000 1.000 0.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.4030 0.7389 0.000 0.648 0.000 0.000 0.352
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 4 0.0000 0.9814 0.000 0.000 0.000 1.000 0.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 3 0.5980 0.6161 0.176 0.000 0.584 0.000 0.240
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0290 0.8074 0.000 0.992 0.000 0.000 0.008
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.8073 0.000 1.000 0.000 0.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.4030 0.7389 0.000 0.648 0.000 0.000 0.352
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0000 0.8707 0.000 0.000 1.000 0.000 0.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.4015 0.7413 0.000 0.652 0.000 0.000 0.348
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.3452 0.8353 0.000 0.000 0.756 0.000 0.244
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.8073 0.000 1.000 0.000 0.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.3074 0.8451 0.000 0.000 0.804 0.000 0.196
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.2690 0.7306 0.844 0.000 0.000 0.000 0.156
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.4030 0.7389 0.000 0.648 0.000 0.000 0.352
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 5 0.3336 0.5252 0.228 0.000 0.000 0.000 0.772
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0000 0.8707 0.000 0.000 1.000 0.000 0.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.4030 0.7389 0.000 0.648 0.000 0.000 0.352
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.0000 0.9814 0.000 0.000 0.000 1.000 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.2966 0.8048 0.000 0.000 0.000 0.816 0.184
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.8073 0.000 1.000 0.000 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.6253 0.5159 0.000 0.492 0.156 0.000 0.352
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.8707 0.000 0.000 1.000 0.000 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.8073 0.000 1.000 0.000 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.8073 0.000 1.000 0.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.4030 0.7389 0.000 0.648 0.000 0.000 0.352
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.8707 0.000 0.000 1.000 0.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.8073 0.000 1.000 0.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.3508 0.7607 0.000 0.748 0.000 0.000 0.252
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0000 0.9814 0.000 0.000 0.000 1.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 5 0.3452 0.5187 0.244 0.000 0.000 0.000 0.756
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.8073 0.000 1.000 0.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0963 0.8369 0.964 0.000 0.000 0.000 0.036
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.2561 0.8110 0.000 0.856 0.000 0.000 0.144
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.8073 0.000 1.000 0.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.8073 0.000 1.000 0.000 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.3857 0.7618 0.000 0.688 0.000 0.000 0.312
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.3424 0.6378 0.760 0.000 0.000 0.000 0.240
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.3452 0.8353 0.000 0.000 0.756 0.000 0.244
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.4030 0.7389 0.000 0.648 0.000 0.000 0.352
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.8073 0.000 1.000 0.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.6298 0.4487 0.256 0.016 0.000 0.148 0.580
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.2522 0.8519 0.000 0.000 0.108 0.880 0.012
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.3452 0.8353 0.000 0.000 0.756 0.000 0.244
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.8073 0.000 1.000 0.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0162 0.8593 0.996 0.000 0.000 0.000 0.004
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.9814 0.000 0.000 0.000 1.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.8707 0.000 0.000 1.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.8707 0.000 0.000 1.000 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.7783 0.4184 0.000 0.204 0.472 0.112 0.212
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0404 0.8546 0.988 0.000 0.000 0.000 0.012
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.6703 -0.3365 0.396 0.000 0.360 0.000 0.244
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.4030 0.7389 0.000 0.648 0.000 0.000 0.352
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.9814 0.000 0.000 0.000 1.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0162 0.8074 0.000 0.996 0.000 0.000 0.004
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.9814 0.000 0.000 0.000 1.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.8618 1.000 0.000 0.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.2561 0.8110 0.000 0.856 0.000 0.000 0.144
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.2561 0.8110 0.000 0.856 0.000 0.000 0.144
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.4192 0.4088 0.596 0.000 0.000 0.000 0.404
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.9814 0.000 0.000 0.000 1.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.3452 0.8353 0.000 0.000 0.756 0.000 0.244
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 5 0.5056 -0.35889 0.004 0.000 0.424 0.000 0.508 0.064
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.3647 0.36197 0.640 0.000 0.000 0.000 0.360 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.3266 0.56614 0.000 0.000 0.728 0.272 0.000 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.89881 1.000 0.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.89881 1.000 0.000 0.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.3244 0.54631 0.000 0.732 0.000 0.000 0.000 0.268
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.3756 0.27362 0.000 0.600 0.000 0.000 0.000 0.400
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.3647 0.19603 0.000 0.640 0.000 0.000 0.000 0.360
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 6 0.3709 0.74023 0.000 0.204 0.000 0.000 0.040 0.756
#> 6F178361-2A14-4245-8A35-13A0174231E4 6 0.5264 0.38516 0.000 0.376 0.000 0.000 0.104 0.520
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 5 0.5894 -0.07590 0.000 0.000 0.284 0.000 0.472 0.244
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.1387 0.84614 0.932 0.000 0.000 0.000 0.068 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.89881 1.000 0.000 0.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 5 0.5894 -0.07590 0.000 0.000 0.284 0.000 0.472 0.244
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 6 0.4366 0.71433 0.000 0.204 0.068 0.008 0.000 0.720
#> 19342512-D282-4C35-B9A9-3A1180D594F4 6 0.3126 0.75398 0.000 0.248 0.000 0.000 0.000 0.752
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0547 0.88561 0.980 0.000 0.000 0.000 0.020 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.98910 0.000 0.000 0.000 1.000 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.85793 0.000 0.000 1.000 0.000 0.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.89881 1.000 0.000 0.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.89881 1.000 0.000 0.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.89881 1.000 0.000 0.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 6 0.4228 0.69772 0.012 0.144 0.000 0.000 0.088 0.756
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 5 0.5894 -0.07590 0.000 0.000 0.284 0.000 0.472 0.244
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.3737 0.29671 0.000 0.608 0.000 0.000 0.000 0.392
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.3847 0.13344 0.544 0.000 0.000 0.000 0.456 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.85793 0.000 0.000 1.000 0.000 0.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.74011 0.000 1.000 0.000 0.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 6 0.3101 0.75643 0.000 0.244 0.000 0.000 0.000 0.756
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.74011 0.000 1.000 0.000 0.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.89881 1.000 0.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.74011 0.000 1.000 0.000 0.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.74011 0.000 1.000 0.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.3727 0.31089 0.000 0.612 0.000 0.000 0.000 0.388
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 5 0.5894 -0.07590 0.000 0.000 0.284 0.000 0.472 0.244
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.3862 0.02986 0.476 0.000 0.000 0.000 0.524 0.000
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#> BE787416-396B-48B4-A5D2-8E2EE082D001 6 0.3101 0.75643 0.000 0.244 0.000 0.000 0.000 0.756
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.89881 1.000 0.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.3862 0.02821 0.476 0.000 0.000 0.000 0.524 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.98910 0.000 0.000 0.000 1.000 0.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.89881 1.000 0.000 0.000 0.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.3862 0.08576 0.524 0.000 0.000 0.000 0.476 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.89881 1.000 0.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0260 0.89398 0.992 0.000 0.000 0.000 0.008 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.89881 1.000 0.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.89881 1.000 0.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.89881 1.000 0.000 0.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.89881 1.000 0.000 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.3862 0.02821 0.476 0.000 0.000 0.000 0.524 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.3854 0.11613 0.536 0.000 0.000 0.000 0.464 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.89881 1.000 0.000 0.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.1765 0.67669 0.000 0.904 0.000 0.000 0.000 0.096
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.98910 0.000 0.000 0.000 1.000 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0547 0.88698 0.980 0.000 0.000 0.000 0.020 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.3244 0.54631 0.000 0.732 0.000 0.000 0.000 0.268
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.3101 0.57568 0.000 0.756 0.000 0.000 0.000 0.244
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.3866 0.00931 0.484 0.000 0.000 0.000 0.516 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.3860 0.03805 0.472 0.000 0.000 0.000 0.528 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.98910 0.000 0.000 0.000 1.000 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.85793 0.000 0.000 1.000 0.000 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "mclust"]
# you can also extract it by
# res = res_list["MAD:mclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.550 0.840 0.883 0.4472 0.501 0.501
#> 3 3 0.813 0.842 0.931 0.4229 0.830 0.668
#> 4 4 0.868 0.800 0.914 0.0858 0.903 0.741
#> 5 5 0.824 0.844 0.922 0.0718 0.910 0.721
#> 6 6 0.799 0.756 0.876 0.0808 0.916 0.688
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.9608 0.707 0.384 0.616
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.977 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.0000 0.754 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.977 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.977 1.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.9427 0.744 0.360 0.640
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.9427 0.744 0.360 0.640
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.9427 0.744 0.360 0.640
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.9427 0.744 0.360 0.640
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.9427 0.744 0.360 0.640
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.0000 0.754 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.977 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.977 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.0000 0.754 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.9427 0.744 0.360 0.640
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.9427 0.744 0.360 0.640
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.977 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0000 0.754 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 2 0.0000 0.754 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0938 0.963 0.988 0.012
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.977 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.977 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.9427 0.744 0.360 0.640
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 2 0.0000 0.754 0.000 1.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.9491 0.732 0.368 0.632
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.977 1.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.0000 0.754 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.9427 0.744 0.360 0.640
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.9427 0.744 0.360 0.640
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.9427 0.744 0.360 0.640
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.977 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.9427 0.744 0.360 0.640
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.9427 0.744 0.360 0.640
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.9427 0.744 0.360 0.640
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.0000 0.754 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.7745 0.576 0.772 0.228
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.977 1.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.977 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0000 0.754 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.977 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.9427 0.744 0.360 0.640
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.0000 0.754 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.977 1.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.977 1.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.9427 0.744 0.360 0.640
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.7745 0.576 0.772 0.228
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.977 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.9427 0.744 0.360 0.640
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.0000 0.754 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.0000 0.754 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 1.0000 -0.428 0.504 0.496
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.977 1.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.9427 0.744 0.360 0.640
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.977 1.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.7139 0.652 0.804 0.196
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.9427 0.744 0.360 0.640
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.0000 0.754 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.977 1.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 2 0.0000 0.754 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.9491 0.732 0.368 0.632
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.5946 0.753 0.144 0.856
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.977 1.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.3431 0.893 0.936 0.064
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.0000 0.754 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.977 1.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.977 1.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.977 1.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.1633 0.948 0.976 0.024
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.0000 0.754 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.5519 0.789 0.872 0.128
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.9427 0.744 0.360 0.640
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.977 1.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 2 0.0000 0.754 0.000 1.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.977 1.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.9427 0.744 0.360 0.640
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.977 1.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.9710 0.679 0.400 0.600
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 2 0.6887 0.748 0.184 0.816
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.0000 0.977 1.000 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 2 0.0000 0.754 0.000 1.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.977 1.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.9427 0.744 0.360 0.640
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.977 1.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.977 1.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 2 0.0000 0.754 0.000 1.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.977 1.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 2 0.0000 0.754 0.000 1.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.9427 0.744 0.360 0.640
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.977 1.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.977 1.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.977 1.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.977 1.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.0000 0.754 0.000 1.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.0000 0.754 0.000 1.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.977 1.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.9427 0.744 0.360 0.640
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.977 1.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.977 1.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.9427 0.744 0.360 0.640
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 2 0.0000 0.754 0.000 1.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.977 1.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.977 1.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.9427 0.744 0.360 0.640
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.977 1.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 2 0.0000 0.754 0.000 1.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.977 1.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.9427 0.744 0.360 0.640
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#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.754 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.977 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.9427 0.744 0.360 0.640
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.9427 0.744 0.360 0.640
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.977 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.977 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.0000 0.754 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.0000 0.754 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.8909 -0.0185 0.124 0.476 0.400
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9738 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.4931 0.7496 0.000 0.232 0.768
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9738 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9738 1.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.9069 0.000 1.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.9069 0.000 1.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.9069 0.000 1.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.9069 0.000 1.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.4002 0.7315 0.000 0.840 0.160
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.8271 0.000 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9738 1.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9738 1.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.8271 0.000 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.5497 0.5020 0.000 0.708 0.292
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.9069 0.000 1.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9738 1.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.4931 0.7496 0.000 0.232 0.768
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.8271 0.000 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.7773 0.4136 0.612 0.316 0.072
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9738 1.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9738 1.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.9069 0.000 1.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.5792 0.6595 0.036 0.192 0.772
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.1411 0.8753 0.000 0.964 0.036
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.1529 0.9327 0.960 0.040 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.8271 0.000 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.9069 0.000 1.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.9069 0.000 1.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.9069 0.000 1.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9738 1.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.9069 0.000 1.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.9069 0.000 1.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9069 0.000 1.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.8271 0.000 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 3 0.9878 0.1863 0.264 0.340 0.396
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.9738 1.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.5058 0.6653 0.756 0.244 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.4931 0.7496 0.000 0.232 0.768
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.9738 1.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9069 0.000 1.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.8271 0.000 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.9738 1.000 0.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.9738 1.000 0.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.9069 0.000 1.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 3 0.9863 0.2512 0.340 0.260 0.400
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9738 1.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9069 0.000 1.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.8271 0.000 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.8271 0.000 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 3 0.9833 0.2162 0.256 0.332 0.412
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9738 1.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.6111 0.2431 0.000 0.604 0.396
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.9738 1.000 0.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 3 0.9939 0.2012 0.300 0.312 0.388
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.9069 0.000 1.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 3 0.4931 0.7496 0.000 0.232 0.768
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9738 1.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.8271 0.000 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.2356 0.8391 0.000 0.928 0.072
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.6111 0.2431 0.000 0.604 0.396
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.9738 1.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 2 0.6299 0.0600 0.476 0.524 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.4931 0.7496 0.000 0.232 0.768
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.9738 1.000 0.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.9738 1.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.9738 1.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.6008 0.4058 0.628 0.372 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 3 0.4931 0.7496 0.000 0.232 0.768
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.5810 0.4855 0.664 0.336 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.9069 0.000 1.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.9738 1.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0000 0.8271 0.000 0.000 1.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.9738 1.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.9069 0.000 1.000 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.9738 1.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.7926 0.4896 0.128 0.656 0.216
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 2 0.6111 0.2431 0.000 0.604 0.396
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.0000 0.9738 1.000 0.000 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.8271 0.000 0.000 1.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.9738 1.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.9069 0.000 1.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.9738 1.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.9738 1.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.8271 0.000 0.000 1.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.9738 1.000 0.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 3 0.4931 0.7496 0.000 0.232 0.768
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.9069 0.000 1.000 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.9738 1.000 0.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.9738 1.000 0.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.9738 1.000 0.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.9738 1.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 3 0.4931 0.7496 0.000 0.232 0.768
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 3 0.4931 0.7496 0.000 0.232 0.768
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.9738 1.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.4452 0.6839 0.000 0.808 0.192
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.9738 1.000 0.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.9738 1.000 0.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.9069 0.000 1.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.8271 0.000 0.000 1.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.9738 1.000 0.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.9738 1.000 0.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.9069 0.000 1.000 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.9738 1.000 0.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0000 0.8271 0.000 0.000 1.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.9738 1.000 0.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0000 0.9069 0.000 1.000 0.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.0000 0.9069 0.000 1.000 0.000
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.0000 0.9069 0.000 1.000 0.000
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 2 0.6111 0.2431 0.000 0.604 0.396
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0000 0.9069 0.000 1.000 0.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 2 0.7353 0.1712 0.036 0.568 0.396
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0000 0.9069 0.000 1.000 0.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 3 0.9887 0.1906 0.268 0.336 0.396
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.9738 1.000 0.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.0000 0.9069 0.000 1.000 0.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.9738 1.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.3941 0.7370 0.000 0.844 0.156
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.0000 0.9738 1.000 0.000 0.000
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.0000 0.9069 0.000 1.000 0.000
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.0000 0.8271 0.000 0.000 1.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.0000 0.9738 1.000 0.000 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0000 0.9738 1.000 0.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.9738 1.000 0.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 2 0.6111 0.2431 0.000 0.604 0.396
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.0000 0.9069 0.000 1.000 0.000
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 3 0.0000 0.8271 0.000 0.000 1.000
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.9738 1.000 0.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.0000 0.9069 0.000 1.000 0.000
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.9738 1.000 0.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 3 0.0000 0.8271 0.000 0.000 1.000
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 3 0.4931 0.7496 0.000 0.232 0.768
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.0000 0.9069 0.000 1.000 0.000
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.0000 0.9069 0.000 1.000 0.000
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.0000 0.9738 1.000 0.000 0.000
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 3 0.0000 0.8271 0.000 0.000 1.000
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 2 0.8808 0.2875 0.332 0.536 0.132
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.0000 0.9069 0.000 1.000 0.000
#> 4C15BE7F-B855-4670-9E38-0A626527D981 3 0.0000 0.8271 0.000 0.000 1.000
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.0000 0.9069 0.000 1.000 0.000
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.0000 0.9738 1.000 0.000 0.000
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 2 0.0000 0.9069 0.000 1.000 0.000
#> 0CE75D6A-B796-4982-9405-1602F9468945 1 0.0000 0.9738 1.000 0.000 0.000
#> EAB94BCC-7CF2-462C-87A2-7B464BADA4AC 1 0.0000 0.9738 1.000 0.000 0.000
#> 563EB6A9-F589-49A8-89B2-2F1185C65C4E 1 0.0000 0.9738 1.000 0.000 0.000
#> 53DA4154-2ACE-4D7F-98AD-257C8B986DA2 1 0.0000 0.9738 1.000 0.000 0.000
#> B2EA5A29-4642-4364-A733-C30E5A9FA38E 2 0.0000 0.9069 0.000 1.000 0.000
#> 38078B54-6BBA-4696-BB22-9D5FC49E631D 1 0.0000 0.9738 1.000 0.000 0.000
#> F5A64B5A-54BA-41A1-8CA2-75D27C5680D3 1 0.0000 0.9738 1.000 0.000 0.000
#> 1506AC5C-E9D2-469A-8B74-AD6FDA81031B 1 0.9951 -0.1952 0.380 0.324 0.296
#> D8E31979-B4A1-4799-A6FE-8B2286290F53 2 0.0000 0.9069 0.000 1.000 0.000
#> 783FA571-A31A-4852-855B-4E8009A9C8F1 1 0.0000 0.9738 1.000 0.000 0.000
#> D8758939-ACDC-444E-A980-5AC342E107A8 1 0.0000 0.9738 1.000 0.000 0.000
#> D7D4461C-60DA-4EE9-80FC-0D98CB87BA8F 2 0.0237 0.9028 0.004 0.996 0.000
#> 5C8E4F70-8C40-4036-B69A-11F9D0BC6243 1 0.5560 0.5616 0.700 0.300 0.000
#> 97E25CCB-1D3A-435A-9273-75DD8B25610A 1 0.0000 0.9738 1.000 0.000 0.000
#> 59B0A79B-00CA-480A-A7EC-F3EA73B1465A 3 0.0000 0.8271 0.000 0.000 1.000
#> 06E96222-F5E3-4DB1-A6CD-1889B8D54C6F 3 0.0000 0.8271 0.000 0.000 1.000
#> EAE40D3B-BC6E-466C-AA9E-01E85B82ED8B 2 0.0000 0.9069 0.000 1.000 0.000
#> B5470009-9751-4D1B-8E34-60C6BF272059 3 0.4931 0.7496 0.000 0.232 0.768
#> E5539B0E-FBE9-4945-9FE3-5FA2DCAE963B 1 0.4555 0.7485 0.800 0.200 0.000
#> E1362AB7-709E-4125-BDB6-1DBEA40773C2 3 0.0000 0.8271 0.000 0.000 1.000
#> 04854F35-F6F3-480B-8DB1-C81A27929508 2 0.0000 0.9069 0.000 1.000 0.000
#> DB9F5784-A3D2-4B4D-B9F4-61A50C77C887 2 0.0000 0.9069 0.000 1.000 0.000
#> 0B6F39DB-0ED4-40F8-9D01-912EE64630D4 2 0.0000 0.9069 0.000 1.000 0.000
#> 95B78C91-C27C-412D-971F-8C37FAA12D2F 1 0.0000 0.9738 1.000 0.000 0.000
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#> 979D8EDA-9FC5-44F1-9A4B-B4B4E0334E71 2 0.6126 0.2304 0.000 0.600 0.400
#> 01EAF933-A083-47C2-A015-9C6CD8CEC520 1 0.0000 0.9738 1.000 0.000 0.000
#> BCCAE932-7C2D-47CD-89C1-1A1886F9D2A5 1 0.0000 0.9738 1.000 0.000 0.000
#> 6F7E9F0D-164E-4696-A353-18D379AA4EF7 1 0.0000 0.9738 1.000 0.000 0.000
#> B7D1197D-B353-4839-A895-368613243FB7 1 0.0000 0.9738 1.000 0.000 0.000
#> ACCEC75A-8EDF-4D83-97DE-BD30FACAC774 2 0.0000 0.9069 0.000 1.000 0.000
#> 4087D782-4CB8-4A7F-AE4B-665BADA410B8 2 0.0000 0.9069 0.000 1.000 0.000
#> 0C4131D9-0CE6-4476-80F1-3B69B777B658 3 0.4931 0.7496 0.000 0.232 0.768
#> 54092E76-4C27-4A4B-8348-8748FCE728A6 1 0.0000 0.9738 1.000 0.000 0.000
#> E0353276-F075-43F3-BB95-3AA315D40505 2 0.0000 0.9069 0.000 1.000 0.000
#> 580F828B-2333-48F7-BA05-E9B6EF1AA3D5 1 0.0000 0.9738 1.000 0.000 0.000
#> C051D793-4538-4D76-BFC2-0C08EAA57371 1 0.0000 0.9738 1.000 0.000 0.000
#> 50893EF9-5D78-4731-B614-8E7F4AC5FA5F 1 0.0000 0.9738 1.000 0.000 0.000
#> F235BBBB-4364-4BEE-88C8-9075208D1B96 3 0.6962 0.4389 0.036 0.316 0.648
#> 73A25F6E-99C8-4C55-9E6C-8457BE8E44C0 2 0.0000 0.9069 0.000 1.000 0.000
#> 4C7213E4-7845-49FC-924A-2BC7A7AEB519 3 0.0000 0.8271 0.000 0.000 1.000
#> B8E40A95-9DF7-4EEE-B7D9-D17FA6B8AB2C 1 0.0000 0.9738 1.000 0.000 0.000
#> 766E5BEF-D5FC-4C60-831C-88667F858375 2 0.0000 0.9069 0.000 1.000 0.000
#> 31110A59-6DD4-4EDD-A056-C45DBC8966CC 1 0.0000 0.9738 1.000 0.000 0.000
#> 0816836B-3F01-45BC-A843-00867E98FAD7 2 0.0000 0.9069 0.000 1.000 0.000
#> 708F24EB-4551-4A3F-8E59-FA76ABE305D7 1 0.0000 0.9738 1.000 0.000 0.000
#> 6EF22E72-6FCD-4645-8E8A-F6F117387082 1 0.0000 0.9738 1.000 0.000 0.000
#> 680DFFFE-43F3-4A48-A662-FFE89FB43B04 1 0.0000 0.9738 1.000 0.000 0.000
#> 4BB7CD09-ECE2-4774-B82C-949B6558C4D2 2 0.0000 0.9069 0.000 1.000 0.000
#> 10E55344-362E-4982-B9EF-BE428086D27E 3 0.0000 0.8271 0.000 0.000 1.000
#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 2 0.0000 0.9069 0.000 1.000 0.000
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.0000 0.9738 1.000 0.000 0.000
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 2 0.6111 0.2431 0.000 0.604 0.396
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.0000 0.9738 1.000 0.000 0.000
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.0000 0.9069 0.000 1.000 0.000
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 3 0.4931 0.7496 0.000 0.232 0.768
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.0000 0.9738 1.000 0.000 0.000
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 3 0.0000 0.8271 0.000 0.000 1.000
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 3 0.4931 0.7496 0.000 0.232 0.768
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 3 0.0000 0.8271 0.000 0.000 1.000
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.0000 0.9069 0.000 1.000 0.000
#> 347C4168-42C5-494B-8080-2C244F6201FF 1 0.5431 0.5958 0.716 0.284 0.000
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0000 0.9069 0.000 1.000 0.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 3 0.8625 0.3656 0.124 0.316 0.560
#> 59363737-247E-4524-B7CD-F43B2C861027 3 0.4931 0.7496 0.000 0.232 0.768
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 3 0.4931 0.7496 0.000 0.232 0.768
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0000 0.9738 1.000 0.000 0.000
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 3 0.4931 0.7496 0.000 0.232 0.768
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.3619 0.7638 0.000 0.864 0.136
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 3 0.4931 0.7496 0.000 0.232 0.768
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0000 0.9069 0.000 1.000 0.000
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 3 0.4931 0.7496 0.000 0.232 0.768
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.9738 1.000 0.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 2 0.9149 -0.1048 0.144 0.440 0.416
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.9738 1.000 0.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.9738 1.000 0.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.9069 0.000 1.000 0.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.9738 1.000 0.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.9738 1.000 0.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.9738 1.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.9738 1.000 0.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.9738 1.000 0.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.9738 1.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.9069 0.000 1.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.9069 0.000 1.000 0.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0000 0.8271 0.000 0.000 1.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.9069 0.000 1.000 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.0000 0.8271 0.000 0.000 1.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.9738 1.000 0.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.9069 0.000 1.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.9738 1.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.6935 0.4479 0.036 0.312 0.652
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.9738 1.000 0.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.9738 1.000 0.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0000 0.9069 0.000 1.000 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.6111 0.2431 0.000 0.604 0.396
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0892 0.8193 0.000 0.020 0.980
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.9069 0.000 1.000 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.9738 1.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.9738 1.000 0.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.9738 1.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.9738 1.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.9738 1.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 3 0.4931 0.7496 0.000 0.232 0.768
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.9738 1.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.5327 0.6962 0.000 0.272 0.728
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.9738 1.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.9069 0.000 1.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.9842 -0.0996 0.412 0.328 0.260
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.3340 0.7839 0.000 0.880 0.120
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.8271 0.000 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.9069 0.000 1.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.9069 0.000 1.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.9069 0.000 1.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.6521 0.4521 0.644 0.340 0.016
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.8271 0.000 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9738 1.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 3 0.9865 0.2170 0.268 0.324 0.408
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.9738 1.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9738 1.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.9069 0.000 1.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.9069 0.000 1.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.4931 0.7496 0.000 0.232 0.768
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.5024 0.6165 0.220 0.776 0.004
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.9069 0.000 1.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.9738 1.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9738 1.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.9069 0.000 1.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.9069 0.000 1.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0424 0.9003 0.000 0.992 0.008
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.9069 0.000 1.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.9738 1.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9738 1.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.9738 1.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9738 1.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.9738 1.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9738 1.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.9738 1.000 0.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.8271 0.000 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.9069 0.000 1.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.9069 0.000 1.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 3 0.9878 0.1863 0.264 0.340 0.396
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9738 1.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.4931 0.7496 0.000 0.232 0.768
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.8271 0.000 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.9069 0.000 1.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.9738 1.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.9738 1.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.9738 1.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.4931 0.7496 0.000 0.232 0.768
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.8271 0.000 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.8271 0.000 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.6111 0.2433 0.000 0.604 0.396
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.3816 0.8055 0.852 0.148 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 3 0.9865 0.2170 0.268 0.324 0.408
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 2 0.7601 0.0857 0.044 0.540 0.416
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.9069 0.000 1.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9738 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.9738 1.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.4931 0.7496 0.000 0.232 0.768
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.9738 1.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0892 0.9538 0.980 0.020 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9738 1.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.9738 1.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9738 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9738 1.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9738 1.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9738 1.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.9738 1.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.5678 0.5286 0.684 0.316 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9738 1.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9069 0.000 1.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.4931 0.7496 0.000 0.232 0.768
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.9738 1.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9069 0.000 1.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.9069 0.000 1.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.9738 1.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.9738 1.000 0.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.4931 0.7496 0.000 0.232 0.768
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.8271 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 4 0.5872 0.486570 0.000 0.384 0.040 0.576
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.1488 0.914891 0.956 0.032 0.000 0.012
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.4257 0.630806 0.000 0.048 0.140 0.812
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.1474 0.861306 0.000 0.948 0.000 0.052
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.1867 0.840910 0.000 0.928 0.000 0.072
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0336 0.898542 0.000 0.992 0.000 0.008
#> 6F178361-2A14-4245-8A35-13A0174231E4 4 0.5000 0.287705 0.000 0.496 0.000 0.504
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.963823 0.000 0.000 1.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0188 0.954028 0.996 0.000 0.000 0.004
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.1118 0.923140 0.964 0.000 0.000 0.036
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.963823 0.000 0.000 1.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 4 0.4994 0.327960 0.000 0.480 0.000 0.520
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.955839 1.000 0.000 0.000 0.000
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#> D2265922-C650-4648-B888-C39D306AC21F 4 0.1118 0.674865 0.000 0.000 0.036 0.964
#> 39E585E6-19F6-4767-BACF-1E7C73C1A1ED 1 0.1182 0.929394 0.968 0.016 0.000 0.016
#> BA1B4D2D-549E-4D88-BA99-968D79B325B6 1 0.0000 0.955839 1.000 0.000 0.000 0.000
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#> 979D8EDA-9FC5-44F1-9A4B-B4B4E0334E71 4 0.4907 0.444115 0.000 0.420 0.000 0.580
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#> B8E40A95-9DF7-4EEE-B7D9-D17FA6B8AB2C 1 0.0188 0.954028 0.996 0.000 0.000 0.004
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#> 4BB7CD09-ECE2-4774-B82C-949B6558C4D2 2 0.2760 0.773735 0.000 0.872 0.000 0.128
#> 10E55344-362E-4982-B9EF-BE428086D27E 3 0.1118 0.961727 0.000 0.000 0.964 0.036
#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 2 0.1637 0.852228 0.000 0.940 0.000 0.060
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.0188 0.954028 0.996 0.000 0.000 0.004
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 4 0.4985 0.356742 0.000 0.468 0.000 0.532
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.2814 0.764672 0.000 0.868 0.000 0.132
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 4 0.1118 0.674865 0.000 0.000 0.036 0.964
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 3 0.0469 0.963976 0.000 0.000 0.988 0.012
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 4 0.1118 0.674865 0.000 0.000 0.036 0.964
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 3 0.0921 0.962880 0.000 0.000 0.972 0.028
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> 347C4168-42C5-494B-8080-2C244F6201FF 4 0.7393 0.437567 0.180 0.332 0.000 0.488
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 4 0.6214 0.591029 0.000 0.272 0.092 0.636
#> 59363737-247E-4524-B7CD-F43B2C861027 4 0.1118 0.674865 0.000 0.000 0.036 0.964
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 4 0.2399 0.682251 0.000 0.048 0.032 0.920
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 4 0.1118 0.674865 0.000 0.000 0.036 0.964
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.4999 -0.266740 0.000 0.508 0.000 0.492
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 4 0.1118 0.674865 0.000 0.000 0.036 0.964
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.1716 0.848127 0.000 0.936 0.000 0.064
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 4 0.1722 0.673097 0.000 0.008 0.048 0.944
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 4 0.5446 0.602991 0.008 0.280 0.028 0.684
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#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.3610 0.714541 0.800 0.000 0.000 0.200
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#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.955839 1.000 0.000 0.000 0.000
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#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0336 0.898542 0.000 0.992 0.000 0.008
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0000 0.963823 0.000 0.000 1.000 0.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.1118 0.961727 0.000 0.000 0.964 0.036
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#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.7679 -0.149051 0.000 0.216 0.408 0.376
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0188 0.954028 0.996 0.000 0.000 0.004
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0188 0.954028 0.996 0.000 0.000 0.004
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.2149 0.824671 0.000 0.912 0.000 0.088
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 4 0.4989 0.347506 0.000 0.472 0.000 0.528
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0592 0.955036 0.000 0.000 0.984 0.016
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0707 0.890664 0.000 0.980 0.000 0.020
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.1118 0.674865 0.000 0.000 0.036 0.964
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.2399 0.682251 0.000 0.048 0.032 0.920
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0188 0.952833 0.996 0.000 0.000 0.004
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 4 0.7766 0.356465 0.244 0.344 0.000 0.412
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.5493 -0.189777 0.000 0.528 0.016 0.456
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.963823 0.000 0.000 1.000 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 2 0.6929 -0.327336 0.108 0.448 0.000 0.444
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.963823 0.000 0.000 1.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 4 0.5487 0.603118 0.016 0.280 0.020 0.684
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0336 0.898542 0.000 0.992 0.000 0.008
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.1118 0.674865 0.000 0.000 0.036 0.964
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.6506 -0.314077 0.072 0.468 0.000 0.460
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.3123 0.730905 0.000 0.844 0.000 0.156
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0188 0.954028 0.996 0.000 0.000 0.004
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.3942 0.661028 0.764 0.000 0.000 0.236
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.1118 0.961727 0.000 0.000 0.964 0.036
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.1022 0.881530 0.000 0.968 0.000 0.032
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 4 0.5488 0.381910 0.016 0.452 0.000 0.532
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.2797 0.671287 0.000 0.032 0.068 0.900
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.1118 0.961727 0.000 0.000 0.964 0.036
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0188 0.954028 0.996 0.000 0.000 0.004
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0188 0.954028 0.996 0.000 0.000 0.004
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.1118 0.674865 0.000 0.000 0.036 0.964
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.963823 0.000 0.000 1.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.963823 0.000 0.000 1.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 4 0.6419 0.417954 0.000 0.420 0.068 0.512
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.7512 -0.119468 0.460 0.192 0.000 0.348
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 4 0.5874 0.599225 0.032 0.280 0.020 0.668
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 4 0.5399 0.602323 0.004 0.280 0.032 0.684
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0188 0.954028 0.996 0.000 0.000 0.004
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.1118 0.674865 0.000 0.000 0.036 0.964
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.3649 0.708328 0.796 0.000 0.000 0.204
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.6894 0.140549 0.536 0.120 0.000 0.344
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.7924 -0.413322 0.336 0.328 0.000 0.336
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.955839 1.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.1118 0.674865 0.000 0.000 0.036 0.964
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0188 0.954028 0.996 0.000 0.000 0.004
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.903810 0.000 1.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0188 0.954028 0.996 0.000 0.000 0.004
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0469 0.948030 0.988 0.000 0.000 0.012
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.1118 0.674865 0.000 0.000 0.036 0.964
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.1118 0.961727 0.000 0.000 0.964 0.036
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
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#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.2852 0.8001 0.828 0.000 0.000 0.000 0.172
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.9892 0.000 0.000 0.000 1.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9732 0.000 0.000 1.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.1908 0.8841 0.000 0.000 0.908 0.000 0.092
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 5 0.3697 0.7557 0.000 0.100 0.000 0.080 0.820
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.3003 0.6858 0.188 0.000 0.000 0.000 0.812
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 5 0.3375 0.7680 0.012 0.096 0.000 0.040 0.852
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 5 0.2983 0.7654 0.000 0.096 0.000 0.040 0.864
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0162 0.9288 0.000 0.996 0.000 0.000 0.004
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9442 1.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.2690 0.8177 0.844 0.000 0.000 0.000 0.156
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.9892 0.000 0.000 0.000 1.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.4201 0.3050 0.592 0.000 0.000 0.000 0.408
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.2852 0.6961 0.172 0.000 0.000 0.000 0.828
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9442 1.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.9442 1.000 0.000 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9442 1.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9442 1.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9442 1.000 0.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9442 1.000 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0162 0.9421 0.996 0.000 0.000 0.000 0.004
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.3039 0.6788 0.192 0.000 0.000 0.000 0.808
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9442 1.000 0.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9314 0.000 1.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.9892 0.000 0.000 0.000 1.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.2280 0.8561 0.880 0.000 0.000 0.000 0.120
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9314 0.000 1.000 0.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.9314 0.000 1.000 0.000 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.1965 0.8774 0.904 0.000 0.000 0.000 0.096
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.4307 0.0319 0.504 0.000 0.000 0.000 0.496
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.9892 0.000 0.000 0.000 1.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0290 0.9726 0.000 0.000 0.992 0.008 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 6 0.0837 0.811019 0.004 0.000 0.004 0.000 0.020 0.972
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 5 0.4482 0.588655 0.360 0.000 0.000 0.000 0.600 0.040
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 6 0.0363 0.811403 0.000 0.000 0.000 0.012 0.000 0.988
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0363 0.886272 0.988 0.000 0.000 0.000 0.012 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0260 0.886802 0.992 0.000 0.000 0.000 0.008 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.3360 0.620529 0.000 0.732 0.000 0.000 0.004 0.264
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.3728 0.530815 0.000 0.652 0.000 0.000 0.004 0.344
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.1753 0.846417 0.000 0.912 0.000 0.000 0.004 0.084
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.3937 0.328753 0.000 0.572 0.000 0.000 0.004 0.424
#> 6F178361-2A14-4245-8A35-13A0174231E4 6 0.0000 0.812025 0.000 0.000 0.000 0.000 0.000 1.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0146 0.906136 0.000 0.000 0.996 0.000 0.004 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 5 0.3376 0.727486 0.220 0.000 0.000 0.000 0.764 0.016
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.5468 0.056972 0.492 0.000 0.000 0.000 0.380 0.128
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0146 0.906136 0.000 0.000 0.996 0.000 0.004 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 6 0.0146 0.811802 0.000 0.000 0.000 0.000 0.004 0.996
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.3457 0.690630 0.000 0.752 0.000 0.000 0.016 0.232
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.886992 1.000 0.000 0.000 0.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.981771 0.000 0.000 0.000 1.000 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0405 0.904181 0.000 0.000 0.988 0.004 0.008 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 6 0.3123 0.706778 0.040 0.000 0.000 0.000 0.136 0.824
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.1007 0.874492 0.956 0.000 0.000 0.000 0.044 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.2823 0.726260 0.796 0.000 0.000 0.000 0.204 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 6 0.2883 0.644542 0.000 0.212 0.000 0.000 0.000 0.788
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 6 0.4147 0.091251 0.000 0.000 0.436 0.000 0.012 0.552
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 6 0.0146 0.812484 0.000 0.004 0.000 0.000 0.000 0.996
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 5 0.4148 0.641794 0.208 0.000 0.000 0.000 0.724 0.068
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.1845 0.896825 0.000 0.000 0.916 0.004 0.008 0.072
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0146 0.896026 0.000 0.996 0.000 0.000 0.004 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.895637 0.000 1.000 0.000 0.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0146 0.896026 0.000 0.996 0.000 0.000 0.004 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0146 0.886882 0.996 0.000 0.000 0.000 0.004 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.2163 0.833587 0.000 0.892 0.000 0.000 0.016 0.092
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0260 0.895605 0.000 0.992 0.000 0.000 0.008 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0146 0.896026 0.000 0.996 0.000 0.000 0.004 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0146 0.906136 0.000 0.000 0.996 0.000 0.004 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 6 0.3706 0.193104 0.000 0.000 0.000 0.000 0.380 0.620
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.1387 0.863915 0.932 0.000 0.000 0.000 0.068 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 5 0.3695 0.589950 0.016 0.000 0.000 0.000 0.712 0.272
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 0.981771 0.000 0.000 0.000 1.000 0.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 5 0.3323 0.713747 0.240 0.000 0.000 0.000 0.752 0.008
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0363 0.893033 0.000 0.988 0.000 0.000 0.012 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0146 0.906136 0.000 0.000 0.996 0.000 0.004 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 5 0.3371 0.530322 0.292 0.000 0.000 0.000 0.708 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.3619 0.514156 0.004 0.000 0.000 0.000 0.680 0.316
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.3986 0.243879 0.000 0.532 0.000 0.000 0.004 0.464
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 6 0.4047 0.446164 0.244 0.000 0.000 0.004 0.036 0.716
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0146 0.886485 0.996 0.000 0.000 0.000 0.004 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0146 0.895161 0.000 0.996 0.000 0.000 0.004 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0146 0.906136 0.000 0.000 0.996 0.000 0.004 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.1957 0.895059 0.000 0.000 0.912 0.008 0.008 0.072
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 6 0.1010 0.808279 0.000 0.000 0.000 0.004 0.036 0.960
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0260 0.886863 0.992 0.000 0.000 0.000 0.008 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 6 0.0146 0.811802 0.000 0.000 0.000 0.000 0.004 0.996
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.3123 0.701196 0.040 0.000 0.000 0.000 0.824 0.136
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 6 0.5592 -0.061064 0.156 0.000 0.000 0.000 0.340 0.504
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 6 0.4179 -0.036552 0.000 0.472 0.000 0.000 0.012 0.516
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0000 0.981771 0.000 0.000 0.000 1.000 0.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0146 0.886485 0.996 0.000 0.000 0.000 0.004 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.1036 0.904511 0.000 0.000 0.964 0.004 0.008 0.024
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 6 0.0692 0.812148 0.000 0.004 0.000 0.000 0.020 0.976
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 6 0.0547 0.811357 0.000 0.000 0.000 0.000 0.020 0.980
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.3634 0.567458 0.644 0.000 0.000 0.000 0.356 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 6 0.3999 -0.124534 0.004 0.000 0.000 0.000 0.496 0.500
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0692 0.961745 0.000 0.000 0.004 0.976 0.000 0.020
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 5 0.2872 0.688692 0.024 0.000 0.000 0.000 0.836 0.140
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.886992 1.000 0.000 0.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.3634 0.567458 0.644 0.000 0.000 0.000 0.356 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 5 0.3966 0.296389 0.004 0.000 0.000 0.000 0.552 0.444
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0000 0.981771 0.000 0.000 0.000 1.000 0.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 6 0.4664 0.454319 0.076 0.000 0.000 0.000 0.280 0.644
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0146 0.896026 0.000 0.996 0.000 0.000 0.004 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0260 0.886802 0.992 0.000 0.000 0.000 0.008 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.1845 0.896825 0.000 0.000 0.916 0.004 0.008 0.072
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0363 0.886531 0.988 0.000 0.000 0.000 0.012 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.2996 0.707727 0.000 0.772 0.000 0.000 0.000 0.228
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0146 0.886485 0.996 0.000 0.000 0.000 0.004 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 6 0.0632 0.811067 0.000 0.000 0.000 0.000 0.024 0.976
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 6 0.0632 0.811067 0.000 0.000 0.000 0.000 0.024 0.976
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 5 0.3528 0.540763 0.004 0.000 0.000 0.000 0.700 0.296
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.1285 0.901971 0.000 0.000 0.944 0.004 0.000 0.052
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0260 0.886802 0.992 0.000 0.000 0.000 0.008 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0146 0.896026 0.000 0.996 0.000 0.000 0.004 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.886992 1.000 0.000 0.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.1204 0.858632 0.944 0.000 0.000 0.000 0.056 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.905824 0.000 0.000 1.000 0.000 0.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0146 0.886485 0.996 0.000 0.000 0.000 0.004 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.0000 0.981771 0.000 0.000 0.000 1.000 0.000 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.895637 0.000 1.000 0.000 0.000 0.000 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.3847 -0.026230 0.544 0.000 0.000 0.000 0.456 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0777 0.881808 0.972 0.000 0.000 0.000 0.024 0.004
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.1765 0.838183 0.904 0.000 0.000 0.000 0.096 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.1204 0.867272 0.944 0.000 0.000 0.000 0.056 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.0000 0.981771 0.000 0.000 0.000 1.000 0.000 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 6 0.2964 0.631723 0.000 0.000 0.000 0.204 0.004 0.792
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0146 0.886485 0.996 0.000 0.000 0.000 0.004 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 6 0.0000 0.812025 0.000 0.000 0.000 0.000 0.000 1.000
#> E3671E10-825D-499B-B949-D5033855C744 1 0.3409 0.651356 0.700 0.000 0.000 0.000 0.300 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 5 0.3198 0.688414 0.260 0.000 0.000 0.000 0.740 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0363 0.893033 0.000 0.988 0.000 0.000 0.012 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0146 0.906136 0.000 0.000 0.996 0.000 0.004 0.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.2793 0.765766 0.800 0.000 0.000 0.000 0.200 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 5 0.3911 0.431610 0.368 0.000 0.000 0.000 0.624 0.008
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0363 0.893033 0.000 0.988 0.000 0.000 0.012 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 5 0.4552 0.260499 0.388 0.000 0.000 0.000 0.572 0.040
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0146 0.906136 0.000 0.000 0.996 0.000 0.004 0.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0363 0.886182 0.988 0.000 0.000 0.000 0.012 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0146 0.896026 0.000 0.996 0.000 0.000 0.004 0.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 6 0.3448 0.518742 0.000 0.280 0.000 0.000 0.004 0.716
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 6 0.2902 0.654892 0.000 0.196 0.000 0.000 0.004 0.800
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 6 0.0146 0.811802 0.000 0.000 0.000 0.000 0.004 0.996
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0260 0.895605 0.000 0.992 0.000 0.000 0.008 0.000
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#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0146 0.886882 0.996 0.000 0.000 0.000 0.004 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0363 0.886272 0.988 0.000 0.000 0.000 0.012 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.1765 0.844025 0.904 0.000 0.000 0.000 0.096 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0146 0.886485 0.996 0.000 0.000 0.000 0.004 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0146 0.896026 0.000 0.996 0.000 0.000 0.004 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.3998 0.508075 0.000 0.644 0.000 0.000 0.016 0.340
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0146 0.906136 0.000 0.000 0.996 0.000 0.004 0.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.2859 0.777936 0.000 0.828 0.000 0.000 0.016 0.156
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.1845 0.896825 0.000 0.000 0.916 0.004 0.008 0.072
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 5 0.4727 0.633396 0.240 0.000 0.000 0.000 0.660 0.100
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0146 0.896026 0.000 0.996 0.000 0.000 0.004 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.886992 1.000 0.000 0.000 0.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 6 0.2536 0.738621 0.000 0.000 0.116 0.000 0.020 0.864
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.3765 0.178423 0.596 0.000 0.000 0.000 0.404 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 5 0.2941 0.714078 0.220 0.000 0.000 0.000 0.780 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.3993 0.208455 0.000 0.520 0.000 0.000 0.004 0.476
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 6 0.0547 0.811357 0.000 0.000 0.000 0.000 0.020 0.980
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.3993 0.323003 0.000 0.000 0.592 0.000 0.008 0.400
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.4181 0.169530 0.000 0.512 0.000 0.000 0.012 0.476
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0146 0.886485 0.996 0.000 0.000 0.000 0.004 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.2883 0.753837 0.788 0.000 0.000 0.000 0.212 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0146 0.886485 0.996 0.000 0.000 0.000 0.004 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0146 0.886882 0.996 0.000 0.000 0.000 0.004 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.1141 0.868951 0.948 0.000 0.000 0.000 0.052 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.0000 0.981771 0.000 0.000 0.000 1.000 0.000 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.3563 0.601168 0.664 0.000 0.000 0.000 0.336 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 6 0.0909 0.810813 0.000 0.000 0.000 0.012 0.020 0.968
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.4552 0.329280 0.592 0.000 0.000 0.000 0.364 0.044
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0260 0.895605 0.000 0.992 0.000 0.000 0.008 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 6 0.4626 0.471520 0.076 0.000 0.000 0.000 0.272 0.652
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 6 0.0291 0.811719 0.000 0.004 0.000 0.000 0.004 0.992
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0146 0.906136 0.000 0.000 0.996 0.000 0.004 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0363 0.894701 0.000 0.988 0.000 0.000 0.012 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0260 0.895605 0.000 0.992 0.000 0.000 0.008 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0146 0.895161 0.000 0.996 0.000 0.000 0.004 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 5 0.3930 0.343457 0.004 0.000 0.000 0.000 0.576 0.420
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0146 0.906136 0.000 0.000 0.996 0.000 0.004 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0458 0.883649 0.984 0.000 0.000 0.000 0.016 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 6 0.1010 0.808279 0.000 0.000 0.000 0.004 0.036 0.960
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.2912 0.705372 0.784 0.000 0.000 0.000 0.216 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0260 0.886802 0.992 0.000 0.000 0.000 0.008 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0260 0.895605 0.000 0.992 0.000 0.000 0.008 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.4262 0.158665 0.000 0.508 0.000 0.000 0.016 0.476
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0000 0.981771 0.000 0.000 0.000 1.000 0.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 6 0.2020 0.747252 0.008 0.000 0.000 0.000 0.096 0.896
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0260 0.895605 0.000 0.992 0.000 0.000 0.008 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.886992 1.000 0.000 0.000 0.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0260 0.886444 0.992 0.000 0.000 0.000 0.008 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0146 0.895034 0.000 0.996 0.000 0.000 0.000 0.004
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0146 0.896026 0.000 0.996 0.000 0.000 0.004 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.3869 0.000177 0.000 0.500 0.000 0.000 0.000 0.500
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0363 0.893033 0.000 0.988 0.000 0.000 0.012 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.3482 0.631038 0.684 0.000 0.000 0.000 0.316 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0260 0.886802 0.992 0.000 0.000 0.000 0.008 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 5 0.3450 0.737952 0.188 0.000 0.000 0.000 0.780 0.032
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0146 0.886485 0.996 0.000 0.000 0.000 0.004 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0146 0.886485 0.996 0.000 0.000 0.000 0.004 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0363 0.886550 0.988 0.000 0.000 0.000 0.012 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.3287 0.627827 0.012 0.000 0.000 0.000 0.768 0.220
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.1845 0.896825 0.000 0.000 0.916 0.004 0.008 0.072
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 6 0.3136 0.620870 0.000 0.228 0.000 0.000 0.004 0.768
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0146 0.896026 0.000 0.996 0.000 0.000 0.004 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 6 0.3371 0.425248 0.000 0.000 0.000 0.000 0.292 0.708
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0146 0.886485 0.996 0.000 0.000 0.000 0.004 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 6 0.0363 0.811403 0.000 0.000 0.000 0.012 0.000 0.988
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.1845 0.896825 0.000 0.000 0.916 0.004 0.008 0.072
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0146 0.896026 0.000 0.996 0.000 0.000 0.004 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.3866 0.203943 0.516 0.000 0.000 0.000 0.484 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.3172 0.706263 0.048 0.000 0.000 0.000 0.824 0.128
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.3200 0.734140 0.196 0.000 0.000 0.000 0.788 0.016
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.981771 0.000 0.000 0.000 1.000 0.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0146 0.906136 0.000 0.000 0.996 0.000 0.004 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.3795 0.414042 0.000 0.000 0.632 0.000 0.004 0.364
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 6 0.0146 0.812006 0.000 0.000 0.000 0.004 0.000 0.996
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.4619 0.559980 0.088 0.000 0.000 0.000 0.668 0.244
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 6 0.2146 0.736116 0.000 0.000 0.000 0.004 0.116 0.880
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 6 0.1010 0.808279 0.000 0.000 0.000 0.004 0.036 0.960
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.3200 0.735912 0.000 0.788 0.000 0.000 0.016 0.196
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0146 0.886485 0.996 0.000 0.000 0.000 0.004 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.3368 0.720133 0.232 0.000 0.000 0.000 0.756 0.012
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.981771 0.000 0.000 0.000 1.000 0.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 5 0.4039 0.644050 0.208 0.000 0.000 0.000 0.732 0.060
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.3707 0.536985 0.008 0.000 0.000 0.000 0.680 0.312
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.886992 1.000 0.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.3151 0.715740 0.748 0.000 0.000 0.000 0.252 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0146 0.887034 0.996 0.000 0.000 0.000 0.004 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0146 0.886882 0.996 0.000 0.000 0.000 0.004 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0790 0.871410 0.968 0.000 0.000 0.000 0.032 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0363 0.885885 0.988 0.000 0.000 0.000 0.012 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.3747 0.430996 0.604 0.000 0.000 0.000 0.396 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.3707 0.538902 0.008 0.000 0.000 0.000 0.680 0.312
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.2823 0.760935 0.796 0.000 0.000 0.000 0.204 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0146 0.896026 0.000 0.996 0.000 0.000 0.004 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.981771 0.000 0.000 0.000 1.000 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.3150 0.716378 0.064 0.000 0.000 0.000 0.832 0.104
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0146 0.896026 0.000 0.996 0.000 0.000 0.004 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0146 0.896026 0.000 0.996 0.000 0.000 0.004 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.3499 0.618331 0.320 0.000 0.000 0.000 0.680 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.2872 0.688692 0.024 0.000 0.000 0.000 0.836 0.140
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.981771 0.000 0.000 0.000 1.000 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.1477 0.901766 0.000 0.000 0.940 0.004 0.008 0.048
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 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 0.970 0.987 0.4999 0.500 0.500
#> 3 3 0.973 0.946 0.976 0.2741 0.838 0.684
#> 4 4 0.894 0.867 0.943 0.0674 0.950 0.865
#> 5 5 0.742 0.658 0.792 0.0657 0.911 0.750
#> 6 6 0.837 0.822 0.902 0.0491 0.923 0.753
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
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.1633 0.970 0.976 0.024
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.993 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.0000 0.980 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.993 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.993 1.000 0.000
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#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.980 0.000 1.000
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#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.993 1.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.993 1.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.980 0.000 1.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.993 1.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.993 1.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.993 1.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.993 1.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.993 1.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.993 1.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.980 0.000 1.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.980 0.000 1.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 2 0.0000 0.980 0.000 1.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.980 0.000 1.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 2 0.0000 0.980 0.000 1.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.993 1.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.980 0.000 1.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.993 1.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 1 0.0000 0.993 1.000 0.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.993 1.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.993 1.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0000 0.980 0.000 1.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 1 0.7139 0.750 0.804 0.196
#> B9009D40-10AC-48B3-9495-865BCE904CB1 1 0.5842 0.833 0.860 0.140
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.980 0.000 1.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.993 1.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.993 1.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.993 1.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.993 1.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.993 1.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 2 0.0000 0.980 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.993 1.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 1 0.0000 0.993 1.000 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.993 1.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.980 0.000 1.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.993 1.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.0000 0.980 0.000 1.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 2 0.0000 0.980 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.980 0.000 1.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.980 0.000 1.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.980 0.000 1.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.993 1.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 2 0.0000 0.980 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.993 1.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.993 1.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.993 1.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.993 1.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.980 0.000 1.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.980 0.000 1.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.0000 0.980 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.0938 0.981 0.988 0.012
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.980 0.000 1.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.993 1.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.993 1.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.980 0.000 1.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.980 0.000 1.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.980 0.000 1.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.980 0.000 1.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.993 1.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.993 1.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.993 1.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.993 1.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.993 1.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.993 1.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.993 1.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.0000 0.980 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.980 0.000 1.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.980 0.000 1.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0000 0.993 1.000 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.993 1.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.0000 0.980 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 2 0.5629 0.854 0.132 0.868
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.980 0.000 1.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.993 1.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.993 1.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.993 1.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.2043 0.955 0.032 0.968
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 2 0.0000 0.980 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 2 0.6148 0.831 0.152 0.848
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.0000 0.980 0.000 1.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.993 1.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.993 1.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.0000 0.993 1.000 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.980 0.000 1.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.993 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.993 1.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.0000 0.980 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.993 1.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.993 1.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.993 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.993 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.993 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.993 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.993 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.993 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.993 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.993 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.993 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.980 0.000 1.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.980 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.993 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.980 0.000 1.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.980 0.000 1.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.993 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.993 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.6801 0.793 0.180 0.820
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.0376 0.977 0.004 0.996
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.4291 0.7792 0.180 0.000 0.820
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9723 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.0000 0.9655 0.000 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0237 0.9717 0.996 0.004 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9723 1.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0592 0.9857 0.000 0.988 0.012
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.9884 0.000 1.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.9884 0.000 1.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.9884 0.000 1.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0747 0.9826 0.000 0.984 0.016
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.9655 0.000 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9723 1.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9723 1.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.9655 0.000 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.4235 0.7939 0.000 0.824 0.176
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0237 0.9904 0.000 0.996 0.004
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9723 1.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.0000 0.9655 0.000 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.9655 0.000 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9723 1.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0237 0.9717 0.996 0.004 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0237 0.9717 0.996 0.004 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.9884 0.000 1.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.1411 0.9357 0.036 0.000 0.964
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0424 0.9852 0.000 0.992 0.008
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0747 0.9642 0.984 0.016 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.9655 0.000 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0237 0.9904 0.000 0.996 0.004
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0237 0.9904 0.000 0.996 0.004
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0424 0.9884 0.000 0.992 0.008
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9723 1.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0237 0.9904 0.000 0.996 0.004
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0237 0.9904 0.000 0.996 0.004
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0237 0.9904 0.000 0.996 0.004
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.9655 0.000 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.3879 0.8247 0.848 0.152 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0237 0.9717 0.996 0.004 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.9723 1.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.0000 0.9655 0.000 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.9723 1.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0237 0.9904 0.000 0.996 0.004
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0892 0.9484 0.000 0.020 0.980
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0747 0.9641 0.984 0.016 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.2878 0.8895 0.904 0.096 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0237 0.9904 0.000 0.996 0.004
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.3267 0.8518 0.884 0.000 0.116
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9723 1.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0237 0.9904 0.000 0.996 0.004
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.9655 0.000 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.9655 0.000 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 3 0.6308 0.0634 0.492 0.000 0.508
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9723 1.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.3412 0.8641 0.000 0.876 0.124
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0237 0.9717 0.996 0.004 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.9723 1.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0592 0.9857 0.000 0.988 0.012
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 3 0.0000 0.9655 0.000 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9723 1.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.9655 0.000 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.9884 0.000 1.000 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 3 0.0747 0.9538 0.016 0.000 0.984
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0592 0.9670 0.988 0.012 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.4887 0.7192 0.772 0.228 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.0000 0.9655 0.000 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0424 0.9696 0.992 0.008 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.9723 1.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0237 0.9717 0.996 0.004 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.0892 0.9614 0.980 0.020 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 3 0.0000 0.9655 0.000 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0892 0.9614 0.980 0.020 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0424 0.9884 0.000 0.992 0.008
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.9723 1.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0237 0.9630 0.004 0.000 0.996
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.9723 1.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.9884 0.000 1.000 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.9723 1.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.6308 0.0853 0.508 0.492 0.000
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#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.9655 0.000 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0237 0.9904 0.000 0.996 0.004
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0237 0.9904 0.000 0.996 0.004
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0237 0.9904 0.000 0.996 0.004
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.9723 1.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.9655 0.000 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9723 1.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.4504 0.7413 0.804 0.000 0.196
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0237 0.9717 0.996 0.004 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9723 1.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0237 0.9904 0.000 0.996 0.004
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0592 0.9858 0.000 0.988 0.012
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.0000 0.9655 0.000 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.6095 0.3937 0.608 0.392 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0237 0.9904 0.000 0.996 0.004
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.9723 1.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0237 0.9717 0.996 0.004 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0237 0.9904 0.000 0.996 0.004
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0237 0.9904 0.000 0.996 0.004
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.1753 0.9525 0.000 0.952 0.048
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0237 0.9904 0.000 0.996 0.004
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0237 0.9717 0.996 0.004 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9723 1.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0237 0.9717 0.996 0.004 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9723 1.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.9723 1.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9723 1.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0592 0.9670 0.988 0.012 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.9655 0.000 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0237 0.9904 0.000 0.996 0.004
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0892 0.9790 0.000 0.980 0.020
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.1163 0.9545 0.972 0.028 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9723 1.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.0000 0.9655 0.000 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0237 0.9630 0.004 0.000 0.996
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0747 0.9825 0.000 0.984 0.016
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0747 0.9641 0.984 0.016 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0237 0.9717 0.996 0.004 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0237 0.9717 0.996 0.004 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.0000 0.9655 0.000 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9655 0.000 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0237 0.9630 0.004 0.000 0.996
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.6045 0.3708 0.000 0.380 0.620
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.1860 0.9336 0.948 0.052 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.4399 0.7534 0.812 0.000 0.188
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.3686 0.8256 0.140 0.000 0.860
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0237 0.9904 0.000 0.996 0.004
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9723 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.9723 1.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.0000 0.9655 0.000 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.1031 0.9578 0.976 0.024 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0892 0.9611 0.980 0.020 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9723 1.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0237 0.9717 0.996 0.004 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9723 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9723 1.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9723 1.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9723 1.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0237 0.9717 0.996 0.004 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0237 0.9717 0.996 0.004 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0237 0.9717 0.996 0.004 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0424 0.9884 0.000 0.992 0.008
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.0000 0.9655 0.000 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0237 0.9717 0.996 0.004 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0237 0.9904 0.000 0.996 0.004
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0237 0.9904 0.000 0.996 0.004
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0237 0.9717 0.996 0.004 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0237 0.9717 0.996 0.004 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.0000 0.9655 0.000 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.9655 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 4 0.4313 0.42479 0.260 0.000 0.004 0.736
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0336 0.94471 0.992 0.000 0.008 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.0000 0.91488 0.000 0.000 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0469 0.94372 0.988 0.000 0.012 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.1867 0.89822 0.928 0.000 0.072 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0707 0.96362 0.000 0.980 0.020 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0707 0.96362 0.000 0.980 0.020 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0707 0.96362 0.000 0.980 0.020 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.2401 0.69436 0.000 0.004 0.904 0.092
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0469 0.94374 0.988 0.000 0.012 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.2530 0.69960 0.000 0.000 0.888 0.112
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0895 0.95705 0.000 0.976 0.004 0.020
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.91488 0.000 0.000 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 4 0.0188 0.91366 0.000 0.000 0.004 0.996
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 3 0.4977 0.21993 0.460 0.000 0.540 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0188 0.94534 0.996 0.000 0.004 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 4 0.4998 -0.01210 0.000 0.000 0.488 0.512
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0895 0.96093 0.004 0.976 0.020 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.4134 0.63695 0.740 0.000 0.260 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 4 0.0000 0.91488 0.000 0.000 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0592 0.96476 0.000 0.984 0.016 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.1118 0.92990 0.964 0.000 0.036 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.2589 0.69855 0.000 0.000 0.884 0.116
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.1174 0.92564 0.968 0.012 0.020 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.1022 0.93217 0.968 0.000 0.032 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 0.91488 0.000 0.000 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0937 0.69471 0.000 0.012 0.976 0.012
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0188 0.94531 0.996 0.000 0.004 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.1297 0.92181 0.964 0.016 0.020 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0817 0.96439 0.000 0.976 0.024 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0376 0.94254 0.992 0.000 0.004 0.004
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0707 0.94016 0.980 0.000 0.020 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 4 0.1389 0.87805 0.000 0.000 0.048 0.952
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 4 0.0188 0.91366 0.000 0.000 0.004 0.996
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 4 0.5088 0.08798 0.424 0.000 0.004 0.572
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 3 0.3610 0.67760 0.200 0.000 0.800 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.4784 0.74764 0.000 0.788 0.112 0.100
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0707 0.93523 0.980 0.000 0.020 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 3 0.4605 0.48831 0.336 0.000 0.664 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0000 0.91488 0.000 0.000 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0336 0.94471 0.992 0.000 0.008 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 4 0.0469 0.91055 0.000 0.000 0.012 0.988
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.1042 0.95756 0.008 0.972 0.020 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 4 0.0336 0.91120 0.000 0.000 0.008 0.992
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0592 0.94242 0.984 0.000 0.016 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.3946 0.71188 0.812 0.168 0.020 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0000 0.91488 0.000 0.000 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0336 0.94232 0.992 0.000 0.008 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0336 0.94471 0.992 0.000 0.008 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.3907 0.68321 0.768 0.000 0.232 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.0707 0.93523 0.980 0.000 0.020 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0000 0.91488 0.000 0.000 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 3 0.2921 0.68434 0.140 0.000 0.860 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0469 0.96706 0.000 0.988 0.012 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.2216 0.87707 0.908 0.000 0.092 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 4 0.0469 0.91044 0.000 0.000 0.012 0.988
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.2973 0.81524 0.856 0.000 0.144 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0469 0.96765 0.000 0.988 0.012 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0469 0.94372 0.988 0.000 0.012 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.5313 0.31220 0.608 0.376 0.016 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 1 0.1004 0.93001 0.972 0.004 0.024 0.000
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.1297 0.92181 0.964 0.016 0.020 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 4 0.2814 0.79129 0.000 0.000 0.132 0.868
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.4898 0.23152 0.584 0.000 0.416 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0592 0.94215 0.984 0.000 0.016 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 4 0.2281 0.83154 0.000 0.000 0.096 0.904
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.0000 0.91488 0.000 0.000 0.000 1.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0592 0.96581 0.000 0.984 0.016 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 3 0.3764 0.66678 0.216 0.000 0.784 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0469 0.94372 0.988 0.000 0.012 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.0000 0.91488 0.000 0.000 0.000 1.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.0000 0.91488 0.000 0.000 0.000 1.000
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#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0188 0.94534 0.996 0.000 0.004 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.4103 0.63987 0.744 0.000 0.256 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0469 0.94372 0.988 0.000 0.012 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.0000 0.91488 0.000 0.000 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.0000 0.91488 0.000 0.000 0.000 1.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0469 0.94374 0.988 0.000 0.012 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 3 0.0817 0.70045 0.024 0.000 0.976 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.4072 0.68013 0.000 0.748 0.252 0.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 4 0.4776 0.34536 0.000 0.000 0.376 0.624
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0469 0.94372 0.988 0.000 0.012 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.3801 0.64438 0.000 0.000 0.780 0.220
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0188 0.94534 0.996 0.000 0.004 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.3494 0.71850 0.824 0.000 0.004 0.172
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0592 0.94215 0.984 0.000 0.016 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0000 0.91488 0.000 0.000 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.7009 0.05468 0.392 0.488 0.120 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0188 0.94534 0.996 0.000 0.004 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0336 0.94471 0.992 0.000 0.008 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0592 0.96591 0.000 0.984 0.016 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0592 0.96476 0.000 0.984 0.016 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0921 0.95637 0.000 0.972 0.028 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.3907 0.68954 0.768 0.000 0.232 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0469 0.94374 0.988 0.000 0.012 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0592 0.94215 0.984 0.000 0.016 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.2149 0.88190 0.912 0.000 0.088 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0707 0.93523 0.980 0.000 0.020 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 4 0.0188 0.91366 0.000 0.000 0.004 0.996
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0188 0.97098 0.000 0.996 0.004 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0469 0.96706 0.000 0.988 0.012 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0707 0.93523 0.980 0.000 0.020 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.1022 0.93272 0.968 0.000 0.032 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.0000 0.91488 0.000 0.000 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 4 0.0469 0.91055 0.000 0.000 0.012 0.988
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0188 0.94531 0.996 0.000 0.004 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0707 0.93523 0.980 0.000 0.020 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0188 0.94408 0.996 0.000 0.004 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.91488 0.000 0.000 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.4585 0.50762 0.000 0.000 0.668 0.332
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.4522 0.52120 0.000 0.000 0.680 0.320
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.7064 0.26370 0.000 0.556 0.280 0.164
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0707 0.94052 0.980 0.000 0.020 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.2334 0.84817 0.908 0.000 0.004 0.088
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 4 0.0524 0.90593 0.008 0.000 0.004 0.988
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0592 0.94215 0.984 0.000 0.016 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.91488 0.000 0.000 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0336 0.94485 0.992 0.000 0.008 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0921 0.93529 0.972 0.000 0.028 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0592 0.94238 0.984 0.000 0.016 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.3486 0.75525 0.812 0.000 0.188 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0336 0.94471 0.992 0.000 0.008 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0469 0.94374 0.988 0.000 0.012 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.4933 0.20528 0.568 0.000 0.432 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0469 0.96706 0.000 0.988 0.012 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.91488 0.000 0.000 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0707 0.93523 0.980 0.000 0.020 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.97224 0.000 1.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0592 0.96476 0.000 0.984 0.016 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.94542 1.000 0.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0707 0.93523 0.980 0.000 0.020 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.91488 0.000 0.000 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 4 0.0000 0.91488 0.000 0.000 0.000 1.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.4564 0.50519 0.052 0.008 0.756 0.004 0.180
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.3201 0.67774 0.844 0.000 0.132 0.016 0.008
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.3432 0.76725 0.000 0.828 0.132 0.000 0.040
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.4101 0.57047 0.000 0.628 0.000 0.000 0.372
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0162 0.88461 0.000 0.996 0.000 0.000 0.004
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.3366 0.74399 0.000 0.768 0.000 0.000 0.232
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.1251 0.87611 0.000 0.956 0.008 0.000 0.036
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 4 0.6942 -0.17479 0.000 0.004 0.300 0.364 0.332
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.3086 0.64013 0.816 0.000 0.000 0.004 0.180
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.6840 0.25877 0.000 0.004 0.412 0.252 0.332
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.1651 0.86453 0.000 0.944 0.036 0.008 0.012
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0963 0.87920 0.000 0.964 0.000 0.000 0.036
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.3048 0.64691 0.820 0.000 0.000 0.004 0.176
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.1851 0.60664 0.000 0.000 0.912 0.088 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.2988 0.72759 0.880 0.000 0.024 0.072 0.024
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0162 0.82181 0.996 0.000 0.000 0.000 0.004
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.2068 0.75945 0.904 0.000 0.000 0.004 0.092
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0404 0.88333 0.000 0.988 0.000 0.000 0.012
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.2992 0.66324 0.012 0.000 0.872 0.092 0.024
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.5030 0.58385 0.000 0.688 0.072 0.004 0.236
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.1646 0.79003 0.944 0.020 0.000 0.004 0.032
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.2929 0.45721 0.000 0.000 0.820 0.180 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0510 0.88257 0.000 0.984 0.000 0.000 0.016
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.1934 0.87550 0.000 0.932 0.008 0.020 0.040
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.1485 0.86878 0.000 0.948 0.032 0.000 0.020
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0451 0.81943 0.988 0.000 0.000 0.008 0.004
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0404 0.88429 0.000 0.988 0.000 0.000 0.012
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0162 0.88416 0.000 0.996 0.000 0.000 0.004
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0510 0.88418 0.000 0.984 0.000 0.000 0.016
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.6905 0.23236 0.000 0.004 0.384 0.276 0.336
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.3461 0.63782 0.812 0.016 0.000 0.004 0.168
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0963 0.80580 0.964 0.000 0.000 0.000 0.036
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0703 0.81469 0.976 0.000 0.000 0.024 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.3048 0.64921 0.820 0.000 0.000 0.004 0.176
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.1121 0.87649 0.000 0.956 0.000 0.000 0.044
#> A6562F43-3437-403E-8F19-4C9E956C79C1 4 0.6628 -0.10707 0.000 0.004 0.196 0.456 0.344
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.2970 0.63844 0.828 0.004 0.000 0.000 0.168
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.4455 0.63846 0.404 0.008 0.000 0.000 0.588
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.5249 0.45900 0.000 0.544 0.032 0.008 0.416
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.6530 -0.12099 0.488 0.000 0.320 0.004 0.188
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.1341 0.87328 0.000 0.944 0.000 0.000 0.056
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.2408 0.65513 0.000 0.000 0.892 0.092 0.016
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.1544 0.61741 0.000 0.000 0.932 0.068 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 3 0.6340 0.18758 0.260 0.000 0.544 0.004 0.192
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.6431 0.09539 0.544 0.000 0.012 0.160 0.284
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.7098 0.01903 0.000 0.428 0.404 0.068 0.100
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.4304 0.50482 0.484 0.000 0.000 0.000 0.516
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.4890 0.36701 0.680 0.000 0.000 0.064 0.256
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0794 0.88292 0.000 0.972 0.000 0.000 0.028
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0404 0.66538 0.000 0.000 0.988 0.012 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.4300 0.34379 0.000 0.524 0.000 0.000 0.476
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 3 0.4880 0.45841 0.004 0.048 0.712 0.008 0.228
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0162 0.82215 0.996 0.000 0.000 0.004 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 5 0.6480 0.51954 0.404 0.184 0.000 0.000 0.412
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.2377 0.72588 0.872 0.000 0.000 0.000 0.128
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.5198 0.39909 0.688 0.000 0.000 0.164 0.148
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.4287 -0.38112 0.540 0.000 0.000 0.000 0.460
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 4 0.6703 -0.16247 0.244 0.000 0.000 0.396 0.360
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0865 0.88058 0.000 0.972 0.004 0.000 0.024
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.1267 0.80445 0.960 0.000 0.004 0.024 0.012
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0992 0.66828 0.000 0.000 0.968 0.008 0.024
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#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.1197 0.87654 0.000 0.952 0.000 0.000 0.048
#> 347C4168-42C5-494B-8080-2C244F6201FF 1 0.6134 -0.20893 0.516 0.340 0.000 0.000 0.144
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0404 0.88380 0.000 0.988 0.000 0.000 0.012
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 3 0.5008 0.49004 0.092 0.008 0.740 0.008 0.152
#> 59363737-247E-4524-B7CD-F43B2C861027 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.1732 0.76553 0.920 0.000 0.000 0.000 0.080
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.4403 0.45496 0.004 0.560 0.000 0.000 0.436
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0671 0.88526 0.000 0.980 0.004 0.000 0.016
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.6704 -0.00667 0.496 0.000 0.012 0.192 0.300
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 3 0.6039 0.27631 0.264 0.000 0.592 0.008 0.136
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0880 0.80851 0.968 0.000 0.000 0.000 0.032
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0162 0.82191 0.996 0.000 0.000 0.004 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0865 0.88058 0.000 0.972 0.004 0.000 0.024
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.1357 0.79653 0.948 0.000 0.004 0.048 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.4951 0.49325 0.736 0.000 0.012 0.104 0.148
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0671 0.81635 0.980 0.000 0.000 0.004 0.016
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0609 0.88163 0.000 0.980 0.000 0.000 0.020
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.1197 0.87507 0.000 0.952 0.000 0.000 0.048
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.6660 0.30715 0.000 0.004 0.464 0.212 0.320
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.1270 0.87370 0.000 0.948 0.000 0.000 0.052
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.1608 0.61255 0.000 0.000 0.928 0.072 0.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.2852 0.62105 0.828 0.000 0.000 0.000 0.172
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0510 0.88257 0.000 0.984 0.000 0.000 0.016
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0162 0.82202 0.996 0.000 0.000 0.000 0.004
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.2925 0.64353 0.036 0.000 0.884 0.016 0.064
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.2377 0.73370 0.872 0.000 0.000 0.000 0.128
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.4135 0.26733 0.656 0.000 0.000 0.004 0.340
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.2589 0.85799 0.000 0.900 0.008 0.048 0.044
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 5 0.6497 0.57454 0.176 0.168 0.036 0.004 0.616
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.6630 0.33990 0.004 0.000 0.476 0.308 0.212
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.6731 0.27088 0.000 0.416 0.000 0.304 0.280
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.2648 0.67270 0.848 0.000 0.000 0.000 0.152
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.1626 0.78728 0.940 0.000 0.000 0.044 0.016
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0290 0.88419 0.000 0.992 0.000 0.000 0.008
#> 930D8D62-7145-435E-8D7F-367EC56E1296 4 0.6851 -0.08687 0.200 0.000 0.012 0.444 0.344
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.8074 0.13135 0.000 0.340 0.096 0.324 0.240
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.3146 0.66383 0.000 0.000 0.856 0.092 0.052
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0609 0.88265 0.000 0.980 0.000 0.000 0.020
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.88428 0.000 1.000 0.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.1341 0.87340 0.000 0.944 0.000 0.000 0.056
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0510 0.81768 0.984 0.000 0.000 0.000 0.016
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.5975 0.44738 0.000 0.000 0.588 0.188 0.224
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.6587 -0.16496 0.460 0.000 0.368 0.008 0.164
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0324 0.82137 0.992 0.000 0.004 0.000 0.004
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.88428 0.000 1.000 0.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.1197 0.87654 0.000 0.952 0.000 0.000 0.048
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 1 0.8141 -0.39998 0.352 0.104 0.000 0.288 0.256
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0290 0.88390 0.000 0.992 0.000 0.000 0.008
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0992 0.87975 0.000 0.968 0.008 0.000 0.024
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.1153 0.87823 0.000 0.964 0.008 0.004 0.024
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.3525 0.75095 0.000 0.816 0.156 0.004 0.024
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0963 0.87920 0.000 0.964 0.000 0.000 0.036
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.5050 0.42354 0.700 0.000 0.000 0.180 0.120
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.2338 0.73430 0.884 0.000 0.000 0.004 0.112
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.1731 0.78779 0.932 0.000 0.004 0.004 0.060
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.1405 0.80352 0.956 0.000 0.020 0.016 0.008
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.4242 0.61314 0.428 0.000 0.000 0.000 0.572
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.2471 0.53863 0.000 0.000 0.864 0.136 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.4810 0.70434 0.000 0.712 0.000 0.204 0.084
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.1106 0.87806 0.000 0.964 0.012 0.000 0.024
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.4481 0.62850 0.416 0.008 0.000 0.000 0.576
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0162 0.82191 0.996 0.000 0.000 0.004 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0324 0.66779 0.000 0.000 0.992 0.004 0.004
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0609 0.88163 0.000 0.980 0.000 0.000 0.020
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.2424 0.70497 0.868 0.000 0.000 0.000 0.132
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.4443 0.52729 0.472 0.000 0.000 0.004 0.524
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.3086 0.64447 0.816 0.000 0.000 0.004 0.180
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.4657 0.59733 0.000 0.000 0.740 0.152 0.108
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.3882 0.62417 0.000 0.000 0.788 0.168 0.044
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.5330 0.06028 0.000 0.484 0.476 0.012 0.028
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.6375 -0.05034 0.568 0.028 0.000 0.292 0.112
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.6657 -0.24259 0.412 0.000 0.392 0.004 0.192
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.7791 0.24758 0.248 0.032 0.520 0.116 0.084
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.1341 0.87201 0.000 0.944 0.000 0.000 0.056
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0162 0.82191 0.996 0.000 0.000 0.004 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.2719 0.69388 0.852 0.000 0.000 0.004 0.144
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0324 0.82129 0.992 0.004 0.000 0.000 0.004
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0566 0.81943 0.984 0.004 0.000 0.000 0.012
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.1478 0.79475 0.936 0.000 0.000 0.000 0.064
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.1568 0.79139 0.944 0.000 0.000 0.036 0.020
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0486 0.82084 0.988 0.000 0.004 0.004 0.004
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0324 0.82137 0.992 0.000 0.004 0.000 0.004
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.4305 0.49090 0.488 0.000 0.000 0.000 0.512
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.82236 1.000 0.000 0.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.4057 0.59657 0.792 0.000 0.000 0.120 0.088
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0865 0.88058 0.000 0.972 0.004 0.000 0.024
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.4150 -0.10710 0.612 0.000 0.000 0.000 0.388
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0162 0.88416 0.000 0.996 0.000 0.000 0.004
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.1728 0.86465 0.000 0.940 0.036 0.004 0.020
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.2338 0.73425 0.884 0.000 0.000 0.004 0.112
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.4238 0.07442 0.628 0.000 0.000 0.004 0.368
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.4291 0.71421 0.000 0.000 0.464 0.536 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.2020 0.59199 0.000 0.000 0.900 0.100 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.2144 0.79083 0.000 0.004 0.908 0.000 0.048 0.040
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.93545 1.000 0.000 0.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.0000 0.98328 0.000 0.000 0.000 1.000 0.000 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.93545 1.000 0.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.1663 0.88763 0.912 0.000 0.088 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.3056 0.78456 0.000 0.820 0.160 0.000 0.012 0.008
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 5 0.3529 0.61420 0.000 0.172 0.004 0.000 0.788 0.036
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0291 0.93847 0.000 0.992 0.000 0.000 0.004 0.004
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.4779 0.27922 0.000 0.572 0.000 0.000 0.368 0.060
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.1269 0.93629 0.000 0.956 0.020 0.000 0.012 0.012
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 6 0.3231 0.58845 0.000 0.000 0.200 0.016 0.000 0.784
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.2631 0.87295 0.880 0.000 0.008 0.000 0.068 0.044
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0603 0.93422 0.980 0.000 0.000 0.000 0.016 0.004
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 6 0.3695 0.35430 0.000 0.000 0.376 0.000 0.000 0.624
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.1788 0.91247 0.000 0.928 0.000 0.028 0.040 0.004
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0622 0.93460 0.000 0.980 0.000 0.000 0.008 0.012
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.3127 0.84896 0.852 0.000 0.020 0.000 0.084 0.044
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.98328 0.000 0.000 0.000 1.000 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.1610 0.84010 0.000 0.000 0.916 0.084 0.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.1605 0.91874 0.940 0.000 0.012 0.000 0.016 0.032
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0146 0.93533 0.996 0.000 0.000 0.000 0.000 0.004
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.1320 0.91829 0.948 0.000 0.000 0.000 0.016 0.036
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0862 0.93821 0.000 0.972 0.008 0.000 0.016 0.004
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.0146 0.83726 0.000 0.000 0.996 0.000 0.004 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.3921 0.73781 0.000 0.776 0.164 0.000 0.024 0.036
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.1149 0.92748 0.960 0.008 0.000 0.000 0.024 0.008
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.2996 0.72145 0.000 0.000 0.772 0.228 0.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0976 0.93686 0.000 0.968 0.008 0.000 0.016 0.008
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.4170 0.73709 0.000 0.768 0.016 0.000 0.124 0.092
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#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.1508 0.70267 0.048 0.004 0.004 0.000 0.940 0.004
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0363 0.93510 0.988 0.000 0.000 0.000 0.000 0.012
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.0000 0.98328 0.000 0.000 0.000 1.000 0.000 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0632 0.84407 0.000 0.000 0.976 0.024 0.000 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.1149 0.93503 0.000 0.960 0.008 0.000 0.024 0.008
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.1176 0.92686 0.956 0.000 0.000 0.000 0.020 0.024
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.2149 0.69048 0.080 0.000 0.004 0.000 0.900 0.016
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.2775 0.85017 0.856 0.000 0.000 0.000 0.104 0.040
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.98328 0.000 0.000 0.000 1.000 0.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.3076 0.67830 0.000 0.000 0.760 0.000 0.000 0.240
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.1444 0.82730 0.000 0.000 0.928 0.000 0.000 0.072
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.4009 0.52841 0.000 0.676 0.304 0.000 0.012 0.008
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.4851 0.41731 0.608 0.028 0.000 0.000 0.028 0.336
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 3 0.3842 0.66956 0.096 0.000 0.808 0.000 0.052 0.044
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.5202 0.54168 0.164 0.028 0.720 0.028 0.012 0.048
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.1780 0.90459 0.000 0.924 0.000 0.000 0.028 0.048
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0260 0.93533 0.992 0.000 0.000 0.000 0.000 0.008
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.2197 0.88719 0.900 0.000 0.000 0.000 0.056 0.044
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.98328 0.000 0.000 0.000 1.000 0.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0891 0.93048 0.968 0.000 0.000 0.000 0.024 0.008
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.1390 0.92435 0.948 0.004 0.000 0.000 0.032 0.016
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0260 0.93537 0.992 0.000 0.000 0.000 0.000 0.008
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.2631 0.79449 0.820 0.000 0.000 0.000 0.180 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0260 0.93537 0.992 0.000 0.000 0.000 0.000 0.008
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0632 0.93181 0.976 0.000 0.000 0.000 0.000 0.024
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.93545 1.000 0.000 0.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.93545 1.000 0.000 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.1858 0.69078 0.092 0.000 0.000 0.000 0.904 0.004
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0260 0.93574 0.992 0.000 0.000 0.000 0.008 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.1644 0.90302 0.920 0.000 0.004 0.000 0.000 0.076
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.1173 0.93440 0.000 0.960 0.016 0.000 0.016 0.008
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.98328 0.000 0.000 0.000 1.000 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.2996 0.55967 0.228 0.000 0.000 0.000 0.772 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0146 0.93845 0.000 0.996 0.004 0.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.1749 0.91981 0.000 0.932 0.036 0.000 0.024 0.008
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.1789 0.90372 0.924 0.000 0.000 0.000 0.044 0.032
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.4744 0.48066 0.252 0.004 0.024 0.000 0.680 0.040
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.98328 0.000 0.000 0.000 1.000 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.1610 0.84018 0.000 0.000 0.916 0.084 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "hclust"]
# you can also extract it by
# res = res_list["ATC:hclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.508 0.820 0.906 0.459 0.529 0.529
#> 3 3 0.447 0.602 0.780 0.351 0.751 0.557
#> 4 4 0.495 0.577 0.742 0.135 0.830 0.569
#> 5 5 0.575 0.534 0.705 0.065 0.917 0.717
#> 6 6 0.617 0.572 0.732 0.041 0.927 0.716
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.1633 0.892 0.976 0.024
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 2 0.9522 0.449 0.372 0.628
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.8016 0.713 0.244 0.756
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.2948 0.883 0.948 0.052
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.896 1.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 1 0.4690 0.857 0.900 0.100
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.886 0.000 1.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.3879 0.882 0.076 0.924
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.886 0.000 1.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 1 0.7299 0.771 0.796 0.204
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.7745 0.738 0.228 0.772
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.896 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.896 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 1 0.8499 0.668 0.724 0.276
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 1 0.9552 0.466 0.624 0.376
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.6973 0.789 0.188 0.812
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.1184 0.894 0.984 0.016
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0000 0.886 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 1 0.8016 0.719 0.756 0.244
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.896 1.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.896 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.896 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 1 0.7299 0.771 0.796 0.204
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.0000 0.896 1.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 1 0.9286 0.549 0.656 0.344
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 2 0.6531 0.808 0.168 0.832
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 1 0.8016 0.719 0.756 0.244
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.3114 0.887 0.056 0.944
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.9491 0.469 0.368 0.632
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 1 0.5294 0.845 0.880 0.120
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.896 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.4161 0.879 0.084 0.916
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.2423 0.889 0.040 0.960
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.3431 0.886 0.064 0.936
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 1 0.9775 0.351 0.588 0.412
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 2 0.7299 0.768 0.204 0.796
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0376 0.895 0.996 0.004
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.896 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0000 0.886 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.896 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.886 0.000 1.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.7745 0.738 0.228 0.772
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.8386 0.693 0.732 0.268
#> 29B732C6-0404-4B37-AD22-654A9348C95E 2 0.0000 0.886 0.000 1.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.9491 0.469 0.368 0.632
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.896 1.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.896 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.886 0.000 1.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.9754 0.353 0.408 0.592
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 1 0.9358 0.514 0.648 0.352
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.896 1.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.896 1.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.1633 0.889 0.024 0.976
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.6048 0.824 0.852 0.148
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 2 0.6712 0.799 0.176 0.824
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.886 0.000 1.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.0000 0.886 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.896 1.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 1 0.0376 0.895 0.996 0.004
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.886 0.000 1.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 1 0.8813 0.633 0.700 0.300
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.1184 0.894 0.984 0.016
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 2 0.0000 0.886 0.000 1.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.4161 0.877 0.084 0.916
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.4161 0.868 0.916 0.084
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.896 1.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.896 1.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.9732 0.396 0.596 0.404
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.4161 0.877 0.084 0.916
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 2 0.4562 0.870 0.096 0.904
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.9129 0.566 0.328 0.672
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.896 1.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 1 0.0376 0.895 0.996 0.004
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 2 0.4431 0.873 0.092 0.908
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.3879 0.882 0.076 0.924
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.896 1.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.0000 0.886 0.000 1.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 1 0.5946 0.829 0.856 0.144
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 2 0.0000 0.886 0.000 1.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 1 0.8499 0.668 0.724 0.276
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.896 1.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.3879 0.882 0.076 0.924
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.896 1.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.896 1.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 1 0.8499 0.668 0.724 0.276
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.896 1.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 2 0.4161 0.877 0.084 0.916
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#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 1 0.2236 0.889 0.964 0.036
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 1 0.2603 0.885 0.956 0.044
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 2 0.4562 0.870 0.096 0.904
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.896 1.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.0000 0.896 1.000 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.886 0.000 1.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.896 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.8443 0.688 0.728 0.272
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.3584 0.884 0.068 0.932
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.8267 0.703 0.740 0.260
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 2 0.5294 0.850 0.120 0.880
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.896 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.896 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.1184 0.894 0.984 0.016
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.896 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.896 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.896 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.9248 0.559 0.660 0.340
#> 79523685-8715-4B64-B53E-3A7506C06994 2 0.8763 0.617 0.296 0.704
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.896 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.9635 0.410 0.388 0.612
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.886 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.896 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.5059 0.860 0.112 0.888
#> ACCFCE18-1113-4203-845F-4608539005FE 1 0.2603 0.885 0.956 0.044
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.4022 0.871 0.920 0.080
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.4161 0.868 0.916 0.084
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.1184 0.889 0.016 0.984
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.9087 0.569 0.324 0.676
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.4654 0.6732 0.792 0.000 0.208
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 3 0.8270 0.1311 0.084 0.376 0.540
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.6033 -0.1062 0.004 0.336 0.660
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.5138 0.6168 0.748 0.000 0.252
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.8304 1.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 3 0.6286 0.2306 0.464 0.000 0.536
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.3038 0.7895 0.000 0.896 0.104
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.6286 0.5937 0.000 0.536 0.464
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.7726 0.000 1.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 3 0.6008 0.5468 0.332 0.004 0.664
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.5733 -0.1119 0.000 0.324 0.676
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0237 0.8310 0.996 0.000 0.004
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.8304 1.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.6129 0.6082 0.284 0.016 0.700
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 3 0.6968 0.6543 0.204 0.080 0.716
#> 19342512-D282-4C35-B9A9-3A1180D594F4 3 0.7232 -0.3425 0.028 0.428 0.544
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.3038 0.7890 0.896 0.000 0.104
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.3038 0.7787 0.000 0.896 0.104
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.5785 0.5864 0.300 0.004 0.696
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.8304 1.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0424 0.8314 0.992 0.000 0.008
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0424 0.8315 0.992 0.000 0.008
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 3 0.6008 0.5468 0.332 0.004 0.664
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.4504 0.6776 0.804 0.000 0.196
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 3 0.6491 0.6461 0.216 0.052 0.732
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 2 0.6180 0.5450 0.000 0.584 0.416
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.5785 0.5864 0.300 0.004 0.696
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.6204 0.6401 0.000 0.576 0.424
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 3 0.7565 0.2930 0.084 0.256 0.660
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 3 0.6252 0.2938 0.444 0.000 0.556
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.8304 1.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.6299 0.5789 0.000 0.524 0.476
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.6079 0.6743 0.000 0.612 0.388
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.6008 0.6879 0.000 0.628 0.372
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.6875 0.6323 0.196 0.080 0.724
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 2 0.6897 0.4740 0.016 0.548 0.436
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.1643 0.8249 0.956 0.000 0.044
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0424 0.8317 0.992 0.000 0.008
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0592 0.7689 0.000 0.988 0.012
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0237 0.8310 0.996 0.000 0.004
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.7726 0.000 1.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.5733 -0.1119 0.000 0.324 0.676
#> 1DF936AB-8850-45F5-827A-2DC578388F24 3 0.6935 0.5393 0.312 0.036 0.652
#> 29B732C6-0404-4B37-AD22-654A9348C95E 2 0.2165 0.7848 0.000 0.936 0.064
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 3 0.7565 0.2930 0.084 0.256 0.660
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.8304 1.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0424 0.8307 0.992 0.000 0.008
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.3038 0.7895 0.000 0.896 0.104
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.6297 0.3860 0.060 0.184 0.756
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.6276 0.6414 0.224 0.040 0.736
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0892 0.8296 0.980 0.000 0.020
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0592 0.8298 0.988 0.000 0.012
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.4796 0.7745 0.000 0.780 0.220
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.7232 0.1487 0.544 0.028 0.428
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 2 0.6204 0.5288 0.000 0.576 0.424
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.1860 0.7860 0.000 0.948 0.052
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.2356 0.7807 0.000 0.928 0.072
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0237 0.8310 0.996 0.000 0.004
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 1 0.5926 0.3845 0.644 0.000 0.356
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.1964 0.7832 0.000 0.944 0.056
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 3 0.6379 0.6295 0.256 0.032 0.712
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.3752 0.7584 0.856 0.000 0.144
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 2 0.1753 0.7748 0.000 0.952 0.048
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.6299 0.5659 0.000 0.524 0.476
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.6045 0.3713 0.620 0.000 0.380
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0892 0.8307 0.980 0.000 0.020
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.1860 0.8200 0.948 0.000 0.052
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 3 0.7031 0.6298 0.196 0.088 0.716
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.6295 0.5703 0.000 0.528 0.472
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 2 0.5884 0.6950 0.012 0.716 0.272
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 3 0.7250 0.1709 0.056 0.288 0.656
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.8304 1.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 1 0.5926 0.3845 0.644 0.000 0.356
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 2 0.5621 0.6784 0.000 0.692 0.308
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.6286 0.5937 0.000 0.536 0.464
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.1031 0.8287 0.976 0.000 0.024
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.0424 0.7729 0.000 0.992 0.008
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 3 0.6421 0.3169 0.424 0.004 0.572
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 2 0.2165 0.7848 0.000 0.936 0.064
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.6129 0.6082 0.284 0.016 0.700
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.8304 1.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.6267 0.6067 0.000 0.548 0.452
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.8304 1.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.8304 1.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.6129 0.6082 0.284 0.016 0.700
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.8304 1.000 0.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 2 0.6299 0.5659 0.000 0.524 0.476
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.5835 0.7117 0.000 0.660 0.340
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.6509 0.0390 0.524 0.004 0.472
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.4974 0.6594 0.764 0.000 0.236
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0424 0.8307 0.992 0.000 0.008
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.4702 0.6764 0.788 0.000 0.212
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.2356 0.7807 0.000 0.928 0.072
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.0592 0.7689 0.000 0.988 0.012
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.8304 1.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 3 0.6968 0.6543 0.204 0.080 0.716
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0237 0.8298 0.996 0.000 0.004
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.2261 0.8119 0.932 0.000 0.068
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.7726 0.000 1.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 1 0.6235 0.1725 0.564 0.000 0.436
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.2066 0.8155 0.940 0.000 0.060
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 2 0.5621 0.6784 0.000 0.692 0.308
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.5178 0.7599 0.000 0.744 0.256
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 3 0.6999 0.5906 0.268 0.052 0.680
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.6875 0.6323 0.196 0.080 0.724
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.8304 1.000 0.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.6291 0.5898 0.000 0.532 0.468
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 3 0.6113 0.5966 0.300 0.012 0.688
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 3 0.7673 0.3145 0.088 0.260 0.652
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 1 0.6286 0.0553 0.536 0.000 0.464
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.3816 0.7881 0.000 0.852 0.148
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 2 0.1753 0.7748 0.000 0.952 0.048
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.6204 0.6401 0.000 0.576 0.424
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.0000 0.8304 1.000 0.000 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.8304 1.000 0.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 3 0.7640 -0.1157 0.052 0.372 0.576
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.8304 1.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.4750 0.7764 0.000 0.784 0.216
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.6045 0.3713 0.620 0.000 0.380
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.2066 0.7877 0.000 0.940 0.060
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.5733 -0.1119 0.000 0.324 0.676
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.6633 0.1430 0.548 0.008 0.444
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.2796 0.7967 0.908 0.000 0.092
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0424 0.8307 0.992 0.000 0.008
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 1 0.6280 0.0688 0.540 0.000 0.460
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.3879 0.7874 0.000 0.848 0.152
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 1 0.6252 0.1421 0.556 0.000 0.444
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.8304 1.000 0.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.0000 0.7726 0.000 1.000 0.000
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.8304 1.000 0.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 3 0.6109 0.3575 0.048 0.192 0.760
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 2 0.6299 0.5659 0.000 0.524 0.476
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.5098 0.7641 0.000 0.752 0.248
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 3 0.6104 0.5199 0.348 0.004 0.648
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.0892 0.8303 0.980 0.000 0.020
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 1 0.6235 0.1725 0.564 0.000 0.436
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 2 0.3038 0.7812 0.000 0.896 0.104
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.3941 0.7875 0.000 0.844 0.156
#> 4C15BE7F-B855-4670-9E38-0A626527D981 3 0.6129 0.6082 0.284 0.016 0.700
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.5560 0.7381 0.000 0.700 0.300
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.2165 0.8155 0.936 0.000 0.064
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 3 0.7267 0.2392 0.064 0.268 0.668
#> 0CE75D6A-B796-4982-9405-1602F9468945 1 0.0000 0.8304 1.000 0.000 0.000
#> EAB94BCC-7CF2-462C-87A2-7B464BADA4AC 1 0.0747 0.8309 0.984 0.000 0.016
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#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.6682 0.5345 0.008 0.504 0.488
#> ACCFCE18-1113-4203-845F-4608539005FE 1 0.6295 0.0201 0.528 0.000 0.472
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.5810 0.4711 0.664 0.000 0.336
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.6045 0.3713 0.620 0.000 0.380
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.4796 0.7671 0.000 0.780 0.220
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.6452 0.1877 0.032 0.264 0.704
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.4999 0.4617 0.660 0.000 0.328 0.012
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 3 0.7632 -0.0784 0.004 0.296 0.492 0.208
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.5710 0.5732 0.000 0.100 0.192 0.708
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.5386 0.4227 0.632 0.000 0.344 0.024
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0188 0.8875 0.996 0.000 0.004 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 3 0.5716 0.6229 0.212 0.000 0.700 0.088
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.3659 0.6956 0.000 0.840 0.024 0.136
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 4 0.7155 0.3729 0.000 0.352 0.144 0.504
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0336 0.7282 0.000 0.992 0.000 0.008
#> 6F178361-2A14-4245-8A35-13A0174231E4 3 0.5948 0.5948 0.144 0.000 0.696 0.160
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 4 0.5395 0.5851 0.000 0.084 0.184 0.732
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0336 0.8905 0.992 0.000 0.008 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0188 0.8875 0.996 0.000 0.004 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.6603 0.4773 0.104 0.000 0.580 0.316
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 3 0.6174 0.3604 0.048 0.020 0.656 0.276
#> 19342512-D282-4C35-B9A9-3A1180D594F4 4 0.7436 0.5175 0.000 0.236 0.252 0.512
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.3217 0.8169 0.860 0.000 0.128 0.012
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.4677 0.5362 0.000 0.680 0.004 0.316
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.6566 0.5105 0.112 0.000 0.600 0.288
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0188 0.8875 0.996 0.000 0.004 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0469 0.8911 0.988 0.000 0.012 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0592 0.8913 0.984 0.000 0.016 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 3 0.5948 0.5948 0.144 0.000 0.696 0.160
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.5167 0.3687 0.644 0.000 0.340 0.016
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 3 0.5739 0.4437 0.056 0.016 0.716 0.212
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 2 0.7574 0.3094 0.000 0.484 0.268 0.248
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.6566 0.5105 0.112 0.000 0.600 0.288
#> F21EF450-28FC-4A66-BAB9-157140CB534E 4 0.6968 0.3163 0.000 0.392 0.116 0.492
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 3 0.7472 -0.3651 0.008 0.136 0.444 0.412
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 3 0.5594 0.6205 0.192 0.000 0.716 0.092
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.8892 1.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 4 0.7120 0.4216 0.000 0.328 0.148 0.524
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 4 0.6650 0.2120 0.000 0.432 0.084 0.484
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.6788 -0.0699 0.000 0.480 0.096 0.424
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 4 0.6555 -0.1903 0.076 0.000 0.444 0.480
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 2 0.7689 0.2448 0.000 0.452 0.300 0.248
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.2053 0.8744 0.924 0.000 0.072 0.004
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.1302 0.8864 0.956 0.000 0.044 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.2053 0.7053 0.000 0.924 0.004 0.072
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0188 0.8900 0.996 0.000 0.004 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0336 0.7282 0.000 0.992 0.000 0.008
#> A6562F43-3437-403E-8F19-4C9E956C79C1 4 0.5395 0.5851 0.000 0.084 0.184 0.732
#> 1DF936AB-8850-45F5-827A-2DC578388F24 3 0.5798 0.5370 0.124 0.004 0.720 0.152
#> 29B732C6-0404-4B37-AD22-654A9348C95E 2 0.3453 0.7135 0.000 0.868 0.052 0.080
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 3 0.7472 -0.3651 0.008 0.136 0.444 0.412
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0188 0.8875 0.996 0.000 0.004 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0707 0.8908 0.980 0.000 0.020 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.3659 0.6956 0.000 0.840 0.024 0.136
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 4 0.6320 0.2882 0.012 0.044 0.368 0.576
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.6666 0.3397 0.088 0.000 0.508 0.404
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.1398 0.8846 0.956 0.000 0.040 0.004
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0707 0.8904 0.980 0.000 0.020 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.5890 0.5011 0.000 0.660 0.072 0.268
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 3 0.6554 0.3883 0.356 0.004 0.564 0.076
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 2 0.7587 0.3008 0.000 0.480 0.276 0.244
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.2179 0.7258 0.000 0.924 0.012 0.064
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.3791 0.6520 0.000 0.796 0.004 0.200
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0188 0.8904 0.996 0.000 0.004 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.5989 0.4451 0.400 0.000 0.556 0.044
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.3081 0.7180 0.000 0.888 0.048 0.064
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 3 0.5655 0.5069 0.084 0.000 0.704 0.212
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.4136 0.7315 0.788 0.000 0.196 0.016
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 2 0.3370 0.7046 0.000 0.872 0.048 0.080
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.4095 0.5071 0.000 0.172 0.024 0.804
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 3 0.5858 0.0978 0.468 0.000 0.500 0.032
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.1211 0.8869 0.960 0.000 0.040 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.2530 0.8435 0.888 0.000 0.112 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 3 0.6132 0.3799 0.056 0.020 0.676 0.248
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.4139 0.5029 0.000 0.176 0.024 0.800
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 2 0.6861 0.4859 0.004 0.616 0.180 0.200
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 4 0.7216 0.4632 0.000 0.140 0.412 0.448
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0188 0.8875 0.996 0.000 0.004 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.5989 0.4451 0.400 0.000 0.556 0.044
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 2 0.6915 0.4476 0.000 0.592 0.196 0.212
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 4 0.7155 0.3729 0.000 0.352 0.144 0.504
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.1398 0.8870 0.956 0.000 0.040 0.004
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.1388 0.7261 0.000 0.960 0.012 0.028
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 3 0.5661 0.6132 0.220 0.000 0.700 0.080
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 2 0.3453 0.7135 0.000 0.868 0.052 0.080
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.6603 0.4773 0.104 0.000 0.580 0.316
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0188 0.8875 0.996 0.000 0.004 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 4 0.7165 0.3626 0.000 0.372 0.140 0.488
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0188 0.8875 0.996 0.000 0.004 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.8892 1.000 0.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.6603 0.4773 0.104 0.000 0.580 0.316
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.8892 1.000 0.000 0.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.4095 0.5071 0.000 0.172 0.024 0.804
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.6798 0.0536 0.000 0.504 0.100 0.396
#> 8AA6D751-D111-42EE-B874-D82769F4A888 3 0.6147 0.3504 0.380 0.000 0.564 0.056
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.5430 0.5111 0.664 0.000 0.300 0.036
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0707 0.8903 0.980 0.000 0.020 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.4933 0.5491 0.688 0.000 0.296 0.016
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.3791 0.6520 0.000 0.796 0.004 0.200
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.2053 0.7053 0.000 0.924 0.004 0.072
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.8892 1.000 0.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 3 0.6174 0.3604 0.048 0.020 0.656 0.276
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0707 0.8911 0.980 0.000 0.020 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.2522 0.8551 0.908 0.000 0.076 0.016
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0336 0.7282 0.000 0.992 0.000 0.008
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.6013 0.5703 0.312 0.000 0.624 0.064
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.2647 0.8362 0.880 0.000 0.120 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 2 0.6915 0.4476 0.000 0.592 0.196 0.212
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.5993 0.4149 0.000 0.628 0.064 0.308
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 3 0.6334 0.5000 0.108 0.016 0.688 0.188
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 4 0.6555 -0.1903 0.076 0.000 0.444 0.480
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0188 0.8875 0.996 0.000 0.004 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 4 0.7072 0.4093 0.000 0.336 0.140 0.524
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 3 0.6265 0.5567 0.124 0.000 0.656 0.220
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 3 0.7669 -0.3052 0.012 0.148 0.444 0.396
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 3 0.5767 0.6104 0.280 0.000 0.660 0.060
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.4707 0.6393 0.000 0.760 0.036 0.204
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 2 0.3370 0.7046 0.000 0.872 0.048 0.080
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 4 0.6968 0.3163 0.000 0.392 0.116 0.492
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.0188 0.8875 0.996 0.000 0.004 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0469 0.8910 0.988 0.000 0.012 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 4 0.7770 0.5158 0.004 0.212 0.336 0.448
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.8892 1.000 0.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.5864 0.5048 0.000 0.664 0.072 0.264
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 3 0.5858 0.0978 0.468 0.000 0.500 0.032
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.2522 0.7220 0.000 0.908 0.016 0.076
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 4 0.5395 0.5851 0.000 0.084 0.184 0.732
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 3 0.6090 0.3393 0.384 0.000 0.564 0.052
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.3547 0.7952 0.840 0.000 0.144 0.016
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0817 0.8898 0.976 0.000 0.024 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 3 0.5791 0.6068 0.284 0.000 0.656 0.060
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.4745 0.6346 0.000 0.756 0.036 0.208
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 3 0.5951 0.5847 0.300 0.000 0.636 0.064
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.8892 1.000 0.000 0.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.0336 0.7282 0.000 0.992 0.000 0.008
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0188 0.8875 0.996 0.000 0.004 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 4 0.6161 0.3168 0.008 0.044 0.356 0.592
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 4 0.4095 0.5071 0.000 0.172 0.024 0.804
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.6022 0.4841 0.000 0.656 0.084 0.260
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 3 0.6352 0.5767 0.156 0.000 0.656 0.188
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.1302 0.8855 0.956 0.000 0.044 0.000
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 3 0.6013 0.5703 0.312 0.000 0.624 0.064
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 2 0.4411 0.6804 0.000 0.812 0.080 0.108
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.4818 0.6288 0.000 0.748 0.036 0.216
#> 4C15BE7F-B855-4670-9E38-0A626527D981 3 0.6603 0.4773 0.104 0.000 0.580 0.316
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.6374 0.2154 0.000 0.556 0.072 0.372
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.2469 0.8468 0.892 0.000 0.108 0.000
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 3 0.7469 -0.4098 0.004 0.152 0.444 0.400
#> 0CE75D6A-B796-4982-9405-1602F9468945 1 0.0000 0.8892 1.000 0.000 0.000 0.000
#> EAB94BCC-7CF2-462C-87A2-7B464BADA4AC 1 0.1022 0.8883 0.968 0.000 0.032 0.000
#> 563EB6A9-F589-49A8-89B2-2F1185C65C4E 3 0.5856 0.1107 0.464 0.000 0.504 0.032
#> 53DA4154-2ACE-4D7F-98AD-257C8B986DA2 1 0.5404 0.4588 0.644 0.000 0.328 0.028
#> B2EA5A29-4642-4364-A733-C30E5A9FA38E 4 0.7285 0.5481 0.000 0.176 0.308 0.516
#> 38078B54-6BBA-4696-BB22-9D5FC49E631D 2 0.7093 0.4488 0.000 0.568 0.220 0.212
#> F5A64B5A-54BA-41A1-8CA2-75D27C5680D3 1 0.0188 0.8875 0.996 0.000 0.004 0.000
#> 1506AC5C-E9D2-469A-8B74-AD6FDA81031B 3 0.6381 0.5270 0.280 0.004 0.628 0.088
#> D8E31979-B4A1-4799-A6FE-8B2286290F53 2 0.6708 -0.1127 0.000 0.464 0.088 0.448
#> 783FA571-A31A-4852-855B-4E8009A9C8F1 1 0.4933 0.5491 0.688 0.000 0.296 0.016
#> D8758939-ACDC-444E-A980-5AC342E107A8 1 0.0336 0.8904 0.992 0.000 0.008 0.000
#> D7D4461C-60DA-4EE9-80FC-0D98CB87BA8F 2 0.6798 0.0536 0.000 0.504 0.100 0.396
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#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.8892 1.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0336 0.8908 0.992 0.000 0.008 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.3047 0.8284 0.872 0.000 0.116 0.012
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.8892 1.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0188 0.8903 0.996 0.000 0.004 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0188 0.8875 0.996 0.000 0.004 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 3 0.6364 0.4752 0.112 0.008 0.668 0.212
#> 79523685-8715-4B64-B53E-3A7506C06994 3 0.8045 -0.1997 0.012 0.348 0.424 0.216
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0817 0.8900 0.976 0.000 0.024 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 3 0.7216 -0.3412 0.008 0.108 0.456 0.428
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.2053 0.7053 0.000 0.924 0.004 0.072
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.2149 0.8616 0.912 0.000 0.088 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 4 0.7245 0.4343 0.000 0.324 0.164 0.512
#> ACCFCE18-1113-4203-845F-4608539005FE 3 0.5690 0.6196 0.268 0.000 0.672 0.060
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.5906 0.1289 0.528 0.000 0.436 0.036
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 3 0.5858 0.0978 0.468 0.000 0.500 0.032
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.5290 0.2401 0.000 0.516 0.008 0.476
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 4 0.6346 0.4758 0.004 0.084 0.284 0.628
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.5107 0.4481 0.596 0.000 0.356 0.000 0.048
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 5 0.4835 0.3960 0.000 0.156 0.120 0.000 0.724
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.5063 0.5069 0.000 0.008 0.156 0.720 0.116
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.6021 0.4564 0.580 0.000 0.232 0.000 0.188
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0693 0.8578 0.980 0.000 0.012 0.000 0.008
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 3 0.2844 0.6177 0.064 0.000 0.888 0.016 0.032
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.4714 0.6497 0.000 0.744 0.004 0.100 0.152
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 4 0.7348 0.4265 0.000 0.212 0.036 0.400 0.352
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.7079 0.000 1.000 0.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 3 0.4635 0.5636 0.032 0.000 0.776 0.064 0.128
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 4 0.4926 0.5188 0.000 0.000 0.132 0.716 0.152
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0671 0.8670 0.980 0.000 0.016 0.000 0.004
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0807 0.8565 0.976 0.000 0.012 0.000 0.012
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.5903 0.5744 0.044 0.000 0.636 0.256 0.064
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 3 0.6447 0.2822 0.008 0.004 0.548 0.156 0.284
#> 19342512-D282-4C35-B9A9-3A1180D594F4 4 0.7901 0.4981 0.000 0.136 0.140 0.424 0.300
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.3657 0.7912 0.820 0.000 0.116 0.000 0.064
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.5299 0.3515 0.000 0.520 0.004 0.436 0.040
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.5221 0.6010 0.040 0.000 0.700 0.220 0.040
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0807 0.8565 0.976 0.000 0.012 0.000 0.012
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0566 0.8680 0.984 0.000 0.012 0.000 0.004
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0703 0.8683 0.976 0.000 0.024 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 3 0.4635 0.5636 0.032 0.000 0.776 0.064 0.128
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.4735 0.1774 0.524 0.000 0.460 0.000 0.016
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 3 0.6409 0.2778 0.012 0.012 0.564 0.108 0.304
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 5 0.4791 0.0356 0.000 0.316 0.024 0.008 0.652
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.5221 0.6010 0.040 0.000 0.700 0.220 0.040
#> F21EF450-28FC-4A66-BAB9-157140CB534E 4 0.7393 0.3830 0.000 0.256 0.032 0.396 0.316
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 5 0.8171 -0.1803 0.008 0.076 0.280 0.280 0.356
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 3 0.3186 0.6162 0.056 0.000 0.872 0.020 0.052
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0290 0.8663 0.992 0.000 0.008 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 4 0.7395 0.4578 0.000 0.200 0.044 0.420 0.336
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 4 0.7316 0.2981 0.000 0.304 0.024 0.384 0.288
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.7577 -0.2030 0.000 0.340 0.040 0.336 0.284
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.6148 0.3932 0.032 0.000 0.508 0.400 0.060
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.4936 0.1109 0.000 0.284 0.040 0.008 0.668
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.2260 0.8548 0.908 0.000 0.064 0.000 0.028
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.2012 0.8608 0.920 0.000 0.060 0.000 0.020
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.2949 0.6506 0.000 0.876 0.004 0.068 0.052
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0162 0.8655 0.996 0.000 0.000 0.000 0.004
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.7079 0.000 1.000 0.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 4 0.4926 0.5188 0.000 0.000 0.132 0.716 0.152
#> 1DF936AB-8850-45F5-827A-2DC578388F24 5 0.5813 0.2707 0.072 0.000 0.404 0.008 0.516
#> 29B732C6-0404-4B37-AD22-654A9348C95E 2 0.3814 0.6481 0.000 0.720 0.004 0.000 0.276
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 5 0.8171 -0.1803 0.008 0.076 0.280 0.280 0.356
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0693 0.8578 0.980 0.000 0.012 0.000 0.008
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0771 0.8680 0.976 0.000 0.020 0.000 0.004
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.4714 0.6497 0.000 0.744 0.004 0.100 0.152
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 4 0.6056 0.1478 0.000 0.000 0.348 0.520 0.132
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.6010 0.5125 0.036 0.000 0.584 0.320 0.060
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.1942 0.8571 0.920 0.000 0.068 0.000 0.012
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0798 0.8679 0.976 0.000 0.016 0.000 0.008
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.6749 0.4088 0.000 0.548 0.028 0.228 0.196
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 3 0.6924 -0.1114 0.288 0.000 0.376 0.004 0.332
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 5 0.4853 0.0512 0.000 0.312 0.028 0.008 0.652
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.3334 0.6958 0.000 0.852 0.004 0.064 0.080
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.4774 0.5476 0.000 0.680 0.004 0.276 0.040
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0510 0.8671 0.984 0.000 0.016 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.3849 0.5151 0.232 0.000 0.752 0.000 0.016
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.3662 0.6602 0.000 0.744 0.004 0.000 0.252
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 3 0.5889 0.3955 0.020 0.000 0.632 0.104 0.244
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.4624 0.7155 0.740 0.000 0.164 0.000 0.096
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 2 0.3730 0.6282 0.000 0.712 0.000 0.000 0.288
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0451 0.5188 0.000 0.008 0.004 0.988 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.6776 -0.0256 0.392 0.000 0.316 0.000 0.292
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.1444 0.8651 0.948 0.000 0.040 0.000 0.012
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.3012 0.8252 0.860 0.000 0.104 0.000 0.036
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 5 0.5398 0.3506 0.036 0.000 0.300 0.028 0.636
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0566 0.5159 0.000 0.012 0.004 0.984 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 5 0.5037 -0.2530 0.004 0.448 0.012 0.008 0.528
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 4 0.7845 0.3509 0.000 0.068 0.320 0.360 0.252
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0693 0.8578 0.980 0.000 0.012 0.000 0.008
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.3849 0.5151 0.232 0.000 0.752 0.000 0.016
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 5 0.4637 -0.1946 0.000 0.420 0.004 0.008 0.568
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 4 0.7348 0.4265 0.000 0.212 0.036 0.400 0.352
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.1774 0.8622 0.932 0.000 0.052 0.000 0.016
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.2329 0.6963 0.000 0.876 0.000 0.000 0.124
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 3 0.6014 0.1588 0.108 0.000 0.584 0.012 0.296
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 2 0.3814 0.6481 0.000 0.720 0.004 0.000 0.276
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.5903 0.5744 0.044 0.000 0.636 0.256 0.064
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0693 0.8578 0.980 0.000 0.012 0.000 0.008
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 4 0.7560 0.4166 0.000 0.232 0.048 0.396 0.324
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0693 0.8578 0.980 0.000 0.012 0.000 0.008
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0451 0.8617 0.988 0.000 0.008 0.000 0.004
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.5903 0.5744 0.044 0.000 0.636 0.256 0.064
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0324 0.8632 0.992 0.000 0.004 0.000 0.004
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.0451 0.5188 0.000 0.008 0.004 0.988 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.7532 -0.0951 0.000 0.396 0.048 0.336 0.220
#> 8AA6D751-D111-42EE-B874-D82769F4A888 5 0.6816 0.1175 0.320 0.000 0.320 0.000 0.360
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.5654 0.5510 0.628 0.000 0.224 0.000 0.148
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0865 0.8683 0.972 0.000 0.024 0.000 0.004
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.5567 0.5683 0.644 0.000 0.196 0.000 0.160
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.4774 0.5476 0.000 0.680 0.004 0.276 0.040
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.3012 0.6492 0.000 0.872 0.004 0.072 0.052
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0324 0.8632 0.992 0.000 0.004 0.000 0.004
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 3 0.6447 0.2822 0.008 0.004 0.548 0.156 0.284
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0912 0.8685 0.972 0.000 0.012 0.000 0.016
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.2446 0.8409 0.900 0.000 0.056 0.000 0.044
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.7079 0.000 1.000 0.000 0.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.3685 0.5822 0.148 0.000 0.816 0.020 0.016
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.3112 0.8235 0.856 0.000 0.100 0.000 0.044
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 5 0.4637 -0.1946 0.000 0.420 0.004 0.008 0.568
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.6737 0.3230 0.000 0.504 0.012 0.228 0.256
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 5 0.6172 0.3227 0.068 0.008 0.348 0.020 0.556
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.6148 0.3932 0.032 0.000 0.508 0.400 0.060
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0693 0.8578 0.980 0.000 0.012 0.000 0.008
#> 434BD66F-7532-46C3-93F4-998337A29D8F 4 0.7368 0.4497 0.000 0.208 0.040 0.420 0.332
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 3 0.5331 0.5454 0.032 0.000 0.720 0.096 0.152
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 5 0.8117 -0.0916 0.008 0.076 0.272 0.260 0.384
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 3 0.2286 0.6063 0.108 0.000 0.888 0.000 0.004
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.5677 0.5734 0.000 0.644 0.004 0.152 0.200
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 2 0.3730 0.6282 0.000 0.712 0.000 0.000 0.288
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 4 0.7393 0.3830 0.000 0.256 0.032 0.396 0.316
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.0807 0.8565 0.976 0.000 0.012 0.000 0.012
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0579 0.8677 0.984 0.000 0.008 0.000 0.008
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 4 0.8227 0.4098 0.000 0.128 0.232 0.368 0.272
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.8644 1.000 0.000 0.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.6695 0.4071 0.000 0.548 0.024 0.232 0.196
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.6776 -0.0256 0.392 0.000 0.316 0.000 0.292
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.3634 0.6889 0.000 0.832 0.004 0.076 0.088
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 4 0.4926 0.5188 0.000 0.000 0.132 0.716 0.152
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 3 0.6823 -0.1252 0.320 0.000 0.344 0.000 0.336
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.3734 0.7880 0.812 0.000 0.128 0.000 0.060
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.1124 0.8655 0.960 0.000 0.036 0.000 0.004
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 3 0.2338 0.6050 0.112 0.000 0.884 0.000 0.004
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.5734 0.5661 0.000 0.636 0.004 0.152 0.208
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 3 0.3825 0.5910 0.136 0.000 0.816 0.028 0.020
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0162 0.8635 0.996 0.000 0.004 0.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.0000 0.7079 0.000 1.000 0.000 0.000 0.000
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0693 0.8578 0.980 0.000 0.012 0.000 0.008
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 4 0.6012 0.1782 0.000 0.000 0.332 0.536 0.132
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 4 0.0451 0.5188 0.000 0.008 0.004 0.988 0.000
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.6848 0.4174 0.000 0.548 0.036 0.200 0.216
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#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.5257 -0.2886 0.000 0.468 0.004 0.492 0.036
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.4318 0.6284 0.000 0.688 0.000 0.020 0.292
#> 9860FE99-6582-4D51-8CAF-92738855F425 4 0.7274 0.4360 0.000 0.212 0.032 0.416 0.340
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.6810 -0.2130 0.352 0.000 0.348 0.000 0.300
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.4139 0.7571 0.784 0.000 0.132 0.000 0.084
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 3 0.6184 0.4354 0.012 0.020 0.648 0.184 0.136
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 3 0.2068 0.6082 0.092 0.000 0.904 0.000 0.004
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 3 0.3093 0.6222 0.080 0.000 0.872 0.032 0.016
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.5920 0.5405 0.000 0.624 0.008 0.160 0.208
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.5680 0.5433 0.624 0.000 0.228 0.000 0.148
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.8644 1.000 0.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.6738 0.0343 0.412 0.000 0.308 0.000 0.280
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0693 0.8578 0.980 0.000 0.012 0.000 0.008
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0451 0.8620 0.988 0.000 0.004 0.000 0.008
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0693 0.8578 0.980 0.000 0.012 0.000 0.008
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.6724 0.1760 0.460 0.000 0.296 0.004 0.240
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.5221 0.6010 0.040 0.000 0.700 0.220 0.040
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.3455 0.6923 0.000 0.844 0.004 0.068 0.084
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 3 0.4537 0.5917 0.032 0.000 0.788 0.100 0.080
#> 133E9177-2E28-46BE-8298-5217E1537E73 3 0.6014 0.1588 0.108 0.000 0.584 0.012 0.296
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0693 0.8578 0.980 0.000 0.012 0.000 0.008
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.4988 0.5389 0.000 0.072 0.068 0.764 0.096
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.3849 0.5151 0.232 0.000 0.752 0.000 0.016
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 4 0.7592 0.4325 0.000 0.228 0.052 0.400 0.320
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 5 0.5775 0.2601 0.068 0.000 0.412 0.008 0.512
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.1485 0.8667 0.948 0.000 0.032 0.000 0.020
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.5558 0.3315 0.080 0.000 0.360 0.000 0.560
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0451 0.5188 0.000 0.008 0.004 0.988 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.5903 0.5744 0.044 0.000 0.636 0.256 0.064
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.4086 0.5801 0.152 0.000 0.796 0.028 0.024
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.2286 0.6055 0.108 0.000 0.888 0.000 0.004
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.5045 -0.2679 0.004 0.456 0.012 0.008 0.520
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.1942 0.8571 0.920 0.000 0.068 0.000 0.012
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.2685 0.8399 0.880 0.000 0.092 0.000 0.028
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.7079 0.000 1.000 0.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.1943 0.8600 0.924 0.000 0.056 0.000 0.020
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.6122 0.3127 0.124 0.004 0.344 0.000 0.528
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.2110 0.4753 0.000 0.072 0.000 0.912 0.016
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 5 0.7017 0.2727 0.196 0.004 0.292 0.020 0.488
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.4798 -0.1550 0.000 0.396 0.024 0.000 0.580
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0579 0.8601 0.984 0.000 0.008 0.000 0.008
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0451 0.8671 0.988 0.000 0.008 0.000 0.004
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.3390 0.8064 0.840 0.000 0.100 0.000 0.060
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0290 0.8663 0.992 0.000 0.008 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0290 0.8654 0.992 0.000 0.008 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0693 0.8578 0.980 0.000 0.012 0.000 0.008
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.5806 0.3523 0.080 0.000 0.324 0.012 0.584
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.6039 0.3129 0.008 0.232 0.108 0.016 0.636
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.1168 0.8674 0.960 0.000 0.032 0.000 0.008
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 3 0.7541 -0.2264 0.000 0.048 0.384 0.348 0.220
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.2949 0.6506 0.000 0.876 0.004 0.068 0.052
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.2580 0.8461 0.892 0.000 0.064 0.000 0.044
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 4 0.7843 0.4601 0.000 0.200 0.084 0.392 0.324
#> ACCFCE18-1113-4203-845F-4608539005FE 3 0.2068 0.6082 0.092 0.000 0.904 0.000 0.004
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.6608 0.1621 0.456 0.000 0.300 0.000 0.244
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.6776 -0.0256 0.392 0.000 0.316 0.000 0.292
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.4908 -0.0415 0.000 0.356 0.000 0.608 0.036
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 4 0.6067 0.3730 0.000 0.016 0.240 0.612 0.132
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.5259 0.35773 0.564 0.004 0.344 0.004 0.084 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 5 0.5021 0.37853 0.000 0.188 0.016 0.044 0.708 0.044
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.5860 0.61157 0.000 0.364 0.136 0.488 0.008 0.004
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.5802 0.31000 0.564 0.008 0.132 0.012 0.284 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.1553 0.85045 0.944 0.000 0.008 0.012 0.032 0.004
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 3 0.2368 0.68662 0.028 0.036 0.908 0.008 0.020 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 6 0.4759 0.24386 0.000 0.420 0.000 0.016 0.024 0.540
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.1431 0.59132 0.000 0.952 0.008 0.008 0.016 0.016
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 6 0.2266 0.70521 0.000 0.108 0.000 0.000 0.012 0.880
#> 6F178361-2A14-4245-8A35-13A0174231E4 3 0.5105 0.61528 0.020 0.136 0.708 0.016 0.120 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 4 0.5275 0.58541 0.000 0.412 0.076 0.504 0.008 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0622 0.87069 0.980 0.000 0.012 0.000 0.008 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.2065 0.83321 0.916 0.000 0.012 0.012 0.056 0.004
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.5625 0.55853 0.016 0.080 0.616 0.264 0.024 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 3 0.6932 0.28293 0.008 0.296 0.416 0.044 0.236 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.3464 0.46112 0.000 0.832 0.088 0.028 0.052 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.3603 0.76518 0.808 0.000 0.072 0.008 0.112 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 6 0.5260 0.33549 0.000 0.064 0.000 0.380 0.016 0.540
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.5066 0.60689 0.016 0.080 0.684 0.208 0.012 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.2065 0.83321 0.916 0.000 0.012 0.012 0.056 0.004
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0862 0.87137 0.972 0.000 0.008 0.004 0.016 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0632 0.87047 0.976 0.000 0.024 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 3 0.5105 0.61528 0.020 0.136 0.708 0.016 0.120 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.4535 0.10403 0.488 0.000 0.480 0.000 0.032 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 3 0.7012 0.24313 0.012 0.236 0.428 0.036 0.284 0.004
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 5 0.6751 0.21280 0.000 0.208 0.004 0.172 0.524 0.092
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.5066 0.60689 0.016 0.080 0.684 0.208 0.012 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.1471 0.60055 0.000 0.932 0.004 0.000 0.000 0.064
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.6290 0.24562 0.008 0.572 0.208 0.048 0.164 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 3 0.2701 0.68568 0.020 0.056 0.888 0.008 0.028 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0665 0.86949 0.980 0.000 0.008 0.004 0.008 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.1121 0.58484 0.000 0.964 0.008 0.004 0.008 0.016
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.2100 0.60100 0.000 0.884 0.000 0.000 0.004 0.112
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.2806 0.59093 0.000 0.840 0.008 0.000 0.008 0.144
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.6280 0.32618 0.012 0.200 0.484 0.296 0.008 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.6485 0.24440 0.000 0.220 0.004 0.168 0.544 0.064
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.2197 0.85082 0.900 0.000 0.056 0.000 0.044 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.2670 0.84941 0.880 0.000 0.064 0.004 0.048 0.004
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 6 0.1951 0.65349 0.000 0.004 0.000 0.060 0.020 0.916
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0260 0.86918 0.992 0.000 0.000 0.000 0.008 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 6 0.2266 0.70521 0.000 0.108 0.000 0.000 0.012 0.880
#> A6562F43-3437-403E-8F19-4C9E956C79C1 4 0.5275 0.58541 0.000 0.412 0.076 0.504 0.008 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 5 0.6001 0.50598 0.060 0.076 0.212 0.024 0.628 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 6 0.7420 0.33135 0.000 0.272 0.004 0.140 0.184 0.400
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.6290 0.24562 0.008 0.572 0.208 0.048 0.164 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.1553 0.85045 0.944 0.000 0.008 0.012 0.032 0.004
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0951 0.87112 0.968 0.000 0.020 0.004 0.008 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 6 0.4474 0.27062 0.000 0.412 0.000 0.004 0.024 0.560
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 4 0.6249 0.36349 0.000 0.248 0.296 0.444 0.012 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.5931 0.46448 0.016 0.144 0.560 0.272 0.008 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.1807 0.85837 0.920 0.000 0.060 0.000 0.020 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0964 0.87086 0.968 0.000 0.016 0.004 0.012 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.6233 0.19514 0.000 0.504 0.008 0.064 0.072 0.352
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.6607 0.44649 0.260 0.024 0.252 0.008 0.456 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 5 0.6690 0.22090 0.000 0.204 0.004 0.172 0.532 0.088
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 6 0.3518 0.56991 0.000 0.256 0.000 0.000 0.012 0.732
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 6 0.4631 0.54613 0.000 0.060 0.000 0.220 0.020 0.700
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0458 0.87070 0.984 0.000 0.016 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.3385 0.56500 0.180 0.000 0.788 0.000 0.032 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 6 0.7203 0.36699 0.000 0.264 0.004 0.116 0.176 0.440
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 3 0.6793 0.37553 0.020 0.196 0.500 0.040 0.244 0.000
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.4454 0.66545 0.724 0.000 0.128 0.004 0.144 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 6 0.7277 0.37490 0.000 0.168 0.004 0.136 0.256 0.436
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.3713 0.69608 0.000 0.284 0.004 0.704 0.000 0.008
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 5 0.5903 0.30608 0.376 0.000 0.160 0.008 0.456 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.1485 0.86797 0.944 0.000 0.028 0.004 0.024 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.3030 0.81148 0.848 0.000 0.092 0.004 0.056 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 5 0.6416 0.47806 0.028 0.152 0.156 0.060 0.604 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.3788 0.69486 0.000 0.280 0.004 0.704 0.000 0.012
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 5 0.7763 -0.01272 0.004 0.244 0.008 0.164 0.380 0.200
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.4781 0.20945 0.000 0.652 0.284 0.032 0.032 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.1553 0.85045 0.944 0.000 0.008 0.012 0.032 0.004
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.3385 0.56500 0.180 0.000 0.788 0.000 0.032 0.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 5 0.7441 0.04638 0.000 0.236 0.004 0.172 0.416 0.172
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.1431 0.59132 0.000 0.952 0.008 0.008 0.016 0.016
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.1713 0.86227 0.928 0.000 0.044 0.000 0.028 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 6 0.5751 0.56706 0.000 0.140 0.004 0.080 0.120 0.656
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 5 0.6450 0.21771 0.088 0.056 0.404 0.012 0.440 0.000
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 6 0.7420 0.33135 0.000 0.272 0.004 0.140 0.184 0.400
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.5550 0.55784 0.016 0.080 0.620 0.264 0.020 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.1553 0.85045 0.944 0.000 0.008 0.012 0.032 0.004
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.1461 0.60018 0.000 0.940 0.016 0.000 0.000 0.044
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.1553 0.85045 0.944 0.000 0.008 0.012 0.032 0.004
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.1036 0.86076 0.964 0.000 0.004 0.008 0.024 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.5625 0.55853 0.016 0.080 0.616 0.264 0.024 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.1198 0.85973 0.960 0.000 0.004 0.012 0.020 0.004
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.3713 0.69608 0.000 0.284 0.004 0.704 0.000 0.008
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#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.2504 0.65029 0.088 0.000 0.880 0.004 0.028 0.000
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#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.2670 0.84941 0.880 0.000 0.064 0.004 0.048 0.004
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.5625 0.55853 0.016 0.080 0.616 0.264 0.024 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.1086 0.86874 0.964 0.000 0.012 0.012 0.012 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.1553 0.85045 0.944 0.000 0.008 0.012 0.032 0.004
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 5 0.5424 0.54310 0.084 0.060 0.164 0.008 0.684 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0405 0.86777 0.988 0.000 0.004 0.000 0.008 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.1461 0.60018 0.000 0.940 0.016 0.000 0.000 0.044
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 6 0.1444 0.70018 0.000 0.072 0.000 0.000 0.000 0.928
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 6 0.5337 0.21667 0.000 0.072 0.000 0.432 0.012 0.484
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 6 0.7432 0.34434 0.000 0.204 0.004 0.156 0.216 0.420
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0891 0.59243 0.000 0.968 0.008 0.000 0.000 0.024
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 5 0.6644 0.41222 0.336 0.024 0.216 0.008 0.416 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.4026 0.73735 0.780 0.004 0.084 0.008 0.124 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 3 0.4938 0.47746 0.000 0.292 0.636 0.028 0.044 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 3 0.1219 0.67564 0.048 0.000 0.948 0.000 0.004 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 3 0.2407 0.69079 0.040 0.036 0.904 0.012 0.008 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.4062 0.10674 0.000 0.552 0.000 0.000 0.008 0.440
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.5651 0.43389 0.604 0.016 0.148 0.004 0.228 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0405 0.86695 0.988 0.000 0.000 0.008 0.004 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 5 0.6001 0.26444 0.392 0.000 0.160 0.012 0.436 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.1553 0.85045 0.944 0.000 0.008 0.012 0.032 0.004
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.1363 0.85591 0.952 0.000 0.004 0.012 0.028 0.004
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.1553 0.85045 0.944 0.000 0.008 0.012 0.032 0.004
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.6487 -0.11524 0.432 0.016 0.212 0.008 0.332 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.5066 0.60689 0.016 0.080 0.684 0.208 0.012 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 6 0.3564 0.55707 0.000 0.264 0.000 0.000 0.012 0.724
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 3 0.4375 0.64602 0.012 0.152 0.764 0.040 0.032 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.6450 0.21771 0.088 0.056 0.404 0.012 0.440 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.1553 0.85045 0.944 0.000 0.008 0.012 0.032 0.004
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.6087 0.60242 0.000 0.376 0.064 0.492 0.004 0.064
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.3385 0.56500 0.180 0.000 0.788 0.000 0.032 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.1837 0.59800 0.000 0.928 0.020 0.004 0.004 0.044
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 5 0.5899 0.50466 0.056 0.072 0.212 0.024 0.636 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.1562 0.86856 0.940 0.000 0.032 0.004 0.024 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.5343 0.54088 0.068 0.060 0.156 0.016 0.700 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.3713 0.69608 0.000 0.284 0.004 0.704 0.000 0.008
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.5625 0.55853 0.016 0.080 0.616 0.264 0.024 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.3440 0.63982 0.108 0.000 0.828 0.036 0.028 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.1471 0.67191 0.064 0.000 0.932 0.000 0.004 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.7772 -0.02850 0.004 0.244 0.008 0.160 0.376 0.208
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.1807 0.85837 0.920 0.000 0.060 0.000 0.020 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.2585 0.83882 0.880 0.000 0.068 0.004 0.048 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 6 0.2266 0.70521 0.000 0.108 0.000 0.000 0.012 0.880
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.1856 0.85938 0.920 0.000 0.048 0.000 0.032 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.5804 0.54981 0.112 0.056 0.152 0.012 0.664 0.004
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.4749 0.65072 0.000 0.268 0.000 0.656 0.008 0.068
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 5 0.6933 0.53516 0.184 0.104 0.132 0.028 0.552 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.7144 0.09937 0.000 0.184 0.004 0.184 0.480 0.148
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.1180 0.85898 0.960 0.000 0.004 0.008 0.024 0.004
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0767 0.87040 0.976 0.000 0.008 0.004 0.012 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.3355 0.78446 0.828 0.000 0.064 0.008 0.100 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0665 0.86949 0.980 0.000 0.008 0.004 0.008 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0984 0.86638 0.968 0.000 0.008 0.012 0.012 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.1476 0.85213 0.948 0.000 0.008 0.012 0.028 0.004
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.6555 0.53110 0.072 0.108 0.164 0.048 0.608 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.6700 0.28897 0.004 0.232 0.020 0.064 0.556 0.124
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.1390 0.87006 0.948 0.000 0.032 0.004 0.016 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.5086 0.10000 0.000 0.584 0.348 0.036 0.032 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 6 0.1951 0.65349 0.000 0.004 0.000 0.060 0.020 0.916
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.2532 0.84006 0.884 0.000 0.060 0.004 0.052 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.2039 0.57738 0.000 0.916 0.052 0.012 0.000 0.020
#> ACCFCE18-1113-4203-845F-4608539005FE 3 0.1219 0.67564 0.048 0.000 0.948 0.000 0.004 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.6197 -0.12685 0.440 0.008 0.156 0.012 0.384 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.5903 0.30608 0.376 0.000 0.160 0.008 0.456 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.5766 0.10911 0.000 0.128 0.000 0.492 0.012 0.368
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 4 0.6250 0.55080 0.000 0.308 0.208 0.468 0.012 0.004
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.984 0.993 0.4990 0.501 0.501
#> 3 3 0.818 0.845 0.920 0.3099 0.767 0.568
#> 4 4 0.725 0.749 0.855 0.1113 0.888 0.689
#> 5 5 0.734 0.725 0.831 0.0610 0.917 0.710
#> 6 6 0.788 0.648 0.800 0.0464 0.905 0.618
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
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.0000 0.994 1.000 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.994 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.0000 0.992 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.994 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.994 1.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 1 0.0000 0.994 1.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.992 0.000 1.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.992 0.000 1.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.992 0.000 1.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.992 0.000 1.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.0000 0.992 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.994 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.994 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.8955 0.553 0.312 0.688
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.992 0.000 1.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.992 0.000 1.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.994 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0000 0.992 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 1 0.0000 0.994 1.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.994 1.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.994 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.994 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 1 0.5737 0.842 0.864 0.136
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.0000 0.994 1.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.992 0.000 1.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 2 0.0000 0.992 0.000 1.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.2043 0.961 0.032 0.968
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.992 0.000 1.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.992 0.000 1.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 1 0.0672 0.987 0.992 0.008
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.994 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.992 0.000 1.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.992 0.000 1.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.992 0.000 1.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.0000 0.992 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 2 0.0000 0.992 0.000 1.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.994 1.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.994 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0000 0.992 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.994 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.992 0.000 1.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.0000 0.992 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.994 1.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 2 0.0000 0.992 0.000 1.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.992 0.000 1.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.994 1.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.994 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.992 0.000 1.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.0000 0.992 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.0000 0.992 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.994 1.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.994 1.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.0000 0.992 0.000 1.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.994 1.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 2 0.0000 0.992 0.000 1.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.992 0.000 1.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.0000 0.992 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.994 1.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 1 0.0000 0.994 1.000 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.992 0.000 1.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.0376 0.988 0.004 0.996
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.994 1.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 2 0.0000 0.992 0.000 1.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.0000 0.992 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.994 1.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.994 1.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.994 1.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 2 0.0000 0.992 0.000 1.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.0000 0.992 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 2 0.0000 0.992 0.000 1.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.992 0.000 1.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.994 1.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 1 0.0000 0.994 1.000 0.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 2 0.0000 0.992 0.000 1.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.992 0.000 1.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.994 1.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.0000 0.992 0.000 1.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 1 0.0000 0.994 1.000 0.000
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 2 0.0000 0.992 0.000 1.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 2 0.0000 0.992 0.000 1.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.994 1.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.992 0.000 1.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.994 1.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.994 1.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 1 0.5519 0.852 0.872 0.128
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.994 1.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 2 0.0000 0.992 0.000 1.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.992 0.000 1.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.994 1.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.994 1.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.994 1.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.994 1.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.0000 0.992 0.000 1.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.0000 0.992 0.000 1.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.994 1.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.0000 0.992 0.000 1.000
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.994 1.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.994 1.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.992 0.000 1.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 1 0.0000 0.994 1.000 0.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.994 1.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 2 0.0000 0.992 0.000 1.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.992 0.000 1.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.994 1.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 2 0.0000 0.992 0.000 1.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.994 1.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0000 0.992 0.000 1.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 1 0.7453 0.732 0.788 0.212
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.0000 0.992 0.000 1.000
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 1 0.0000 0.994 1.000 0.000
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0000 0.992 0.000 1.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 2 0.0000 0.992 0.000 1.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0000 0.992 0.000 1.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.0000 0.994 1.000 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.994 1.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.0000 0.992 0.000 1.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.994 1.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.0000 0.992 0.000 1.000
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.0000 0.994 1.000 0.000
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.0000 0.992 0.000 1.000
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 2 0.0000 0.992 0.000 1.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.0000 0.994 1.000 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0000 0.994 1.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.994 1.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 1 0.0000 0.994 1.000 0.000
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.0000 0.992 0.000 1.000
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 1 0.0000 0.994 1.000 0.000
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.994 1.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.0000 0.992 0.000 1.000
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.994 1.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 2 0.0000 0.992 0.000 1.000
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 2 0.0000 0.992 0.000 1.000
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.0000 0.992 0.000 1.000
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.0000 0.992 0.000 1.000
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.0000 0.994 1.000 0.000
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 1 0.0000 0.994 1.000 0.000
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 2 0.0000 0.992 0.000 1.000
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.0000 0.992 0.000 1.000
#> 4C15BE7F-B855-4670-9E38-0A626527D981 2 0.8267 0.653 0.260 0.740
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.0000 0.992 0.000 1.000
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.0000 0.994 1.000 0.000
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 2 0.0000 0.992 0.000 1.000
#> 0CE75D6A-B796-4982-9405-1602F9468945 1 0.0000 0.994 1.000 0.000
#> EAB94BCC-7CF2-462C-87A2-7B464BADA4AC 1 0.0000 0.994 1.000 0.000
#> 563EB6A9-F589-49A8-89B2-2F1185C65C4E 1 0.0000 0.994 1.000 0.000
#> 53DA4154-2ACE-4D7F-98AD-257C8B986DA2 1 0.0000 0.994 1.000 0.000
#> B2EA5A29-4642-4364-A733-C30E5A9FA38E 2 0.0000 0.992 0.000 1.000
#> 38078B54-6BBA-4696-BB22-9D5FC49E631D 2 0.0000 0.992 0.000 1.000
#> F5A64B5A-54BA-41A1-8CA2-75D27C5680D3 1 0.0000 0.994 1.000 0.000
#> 1506AC5C-E9D2-469A-8B74-AD6FDA81031B 1 0.0000 0.994 1.000 0.000
#> D8E31979-B4A1-4799-A6FE-8B2286290F53 2 0.0000 0.992 0.000 1.000
#> 783FA571-A31A-4852-855B-4E8009A9C8F1 1 0.0000 0.994 1.000 0.000
#> D8758939-ACDC-444E-A980-5AC342E107A8 1 0.0000 0.994 1.000 0.000
#> D7D4461C-60DA-4EE9-80FC-0D98CB87BA8F 2 0.0000 0.992 0.000 1.000
#> 5C8E4F70-8C40-4036-B69A-11F9D0BC6243 2 0.0000 0.992 0.000 1.000
#> 97E25CCB-1D3A-435A-9273-75DD8B25610A 1 0.0000 0.994 1.000 0.000
#> 59B0A79B-00CA-480A-A7EC-F3EA73B1465A 1 0.0000 0.994 1.000 0.000
#> 06E96222-F5E3-4DB1-A6CD-1889B8D54C6F 1 0.6801 0.781 0.820 0.180
#> EAE40D3B-BC6E-466C-AA9E-01E85B82ED8B 2 0.0000 0.992 0.000 1.000
#> B5470009-9751-4D1B-8E34-60C6BF272059 2 0.0000 0.992 0.000 1.000
#> E5539B0E-FBE9-4945-9FE3-5FA2DCAE963B 2 0.0000 0.992 0.000 1.000
#> E1362AB7-709E-4125-BDB6-1DBEA40773C2 1 0.0000 0.994 1.000 0.000
#> 04854F35-F6F3-480B-8DB1-C81A27929508 2 0.0000 0.992 0.000 1.000
#> DB9F5784-A3D2-4B4D-B9F4-61A50C77C887 2 0.0000 0.992 0.000 1.000
#> 0B6F39DB-0ED4-40F8-9D01-912EE64630D4 2 0.0000 0.992 0.000 1.000
#> 95B78C91-C27C-412D-971F-8C37FAA12D2F 1 0.0000 0.994 1.000 0.000
#> 26065E87-5EC3-4A02-9FC1-283F2751D722 1 0.0000 0.994 1.000 0.000
#> 4274ED54-92C4-436A-915D-1CF855611BEC 1 0.0000 0.994 1.000 0.000
#> C6586E83-11C5-4D9C-941D-6B73A542214B 1 0.0000 0.994 1.000 0.000
#> F126BC05-CF70-4AC4-86A4-175413710910 2 0.4431 0.896 0.092 0.908
#> C03D7F9D-8A75-4298-B3B8-1C2F1C883182 2 0.0000 0.992 0.000 1.000
#> BF92BAB0-5086-4408-80D3-05B9CCFDA176 1 0.0000 0.994 1.000 0.000
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#> 4BB7CD09-ECE2-4774-B82C-949B6558C4D2 2 0.0000 0.992 0.000 1.000
#> 10E55344-362E-4982-B9EF-BE428086D27E 1 0.0000 0.994 1.000 0.000
#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 2 0.0000 0.992 0.000 1.000
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.0000 0.994 1.000 0.000
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 2 0.0938 0.981 0.012 0.988
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.0000 0.994 1.000 0.000
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.0000 0.992 0.000 1.000
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 2 0.0000 0.992 0.000 1.000
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.0000 0.994 1.000 0.000
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 2 0.0000 0.992 0.000 1.000
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 2 0.0000 0.992 0.000 1.000
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 2 0.9248 0.491 0.340 0.660
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.0000 0.992 0.000 1.000
#> 347C4168-42C5-494B-8080-2C244F6201FF 2 0.0000 0.992 0.000 1.000
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0000 0.992 0.000 1.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 1 0.0000 0.994 1.000 0.000
#> 59363737-247E-4524-B7CD-F43B2C861027 2 0.0000 0.992 0.000 1.000
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 1 0.0000 0.994 1.000 0.000
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0000 0.994 1.000 0.000
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 2 0.0000 0.992 0.000 1.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.0000 0.992 0.000 1.000
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 2 0.0000 0.992 0.000 1.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0000 0.992 0.000 1.000
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 2 0.0000 0.992 0.000 1.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.994 1.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.0000 0.994 1.000 0.000
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.994 1.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.994 1.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.992 0.000 1.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.994 1.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.994 1.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.994 1.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.994 1.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.994 1.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.994 1.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.992 0.000 1.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.992 0.000 1.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 2 0.0000 0.992 0.000 1.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.992 0.000 1.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 2 0.0000 0.992 0.000 1.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.994 1.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.992 0.000 1.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.994 1.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 1 0.0000 0.994 1.000 0.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.994 1.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.994 1.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 1 0.0000 0.994 1.000 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.0000 0.992 0.000 1.000
#> B9009D40-10AC-48B3-9495-865BCE904CB1 1 0.0000 0.994 1.000 0.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.992 0.000 1.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.994 1.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.994 1.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.994 1.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.994 1.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.994 1.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 2 0.0000 0.992 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.994 1.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 1 0.0000 0.994 1.000 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.994 1.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.992 0.000 1.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.994 1.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 1 0.0000 0.994 1.000 0.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 2 0.0000 0.992 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.992 0.000 1.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.992 0.000 1.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.992 0.000 1.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.994 1.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 1 0.0000 0.994 1.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.994 1.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.994 1.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.994 1.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.994 1.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.992 0.000 1.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.992 0.000 1.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.0000 0.992 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.0000 0.992 0.000 1.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.992 0.000 1.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.994 1.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.994 1.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.992 0.000 1.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 1 0.0000 0.994 1.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.1633 0.969 0.024 0.976
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.992 0.000 1.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.994 1.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.994 1.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.994 1.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.994 1.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.994 1.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.994 1.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.994 1.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.0000 0.992 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.992 0.000 1.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.992 0.000 1.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0000 0.994 1.000 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.994 1.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.0000 0.992 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 1 0.0000 0.994 1.000 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.992 0.000 1.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.994 1.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.994 1.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.994 1.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.0000 0.992 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 1 0.0000 0.994 1.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 1 0.0000 0.994 1.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 1 0.0000 0.994 1.000 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 2 0.0000 0.992 0.000 1.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.994 1.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.0000 0.994 1.000 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.992 0.000 1.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.994 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.994 1.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.0000 0.992 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.994 1.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 2 0.0000 0.992 0.000 1.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.994 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.994 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.994 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.994 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.994 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.994 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.994 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 2 0.0000 0.992 0.000 1.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.994 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.992 0.000 1.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.992 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.994 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.992 0.000 1.000
#> ACCFCE18-1113-4203-845F-4608539005FE 1 0.0000 0.994 1.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.994 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.994 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.0000 0.992 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.0000 0.992 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.3482 0.8139 0.128 0.000 0.872
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.2926 0.9094 0.924 0.036 0.040
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.1529 0.8706 0.000 0.040 0.960
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9587 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0424 0.9588 0.992 0.000 0.008
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 3 0.3551 0.8121 0.132 0.000 0.868
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.1411 0.9065 0.000 0.964 0.036
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.5926 0.4831 0.000 0.644 0.356
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.1411 0.9065 0.000 0.964 0.036
#> 6F178361-2A14-4245-8A35-13A0174231E4 3 0.3425 0.8230 0.004 0.112 0.884
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.6026 0.4238 0.000 0.624 0.376
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9587 1.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0424 0.9588 0.992 0.000 0.008
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.1289 0.8713 0.000 0.032 0.968
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.6168 0.3320 0.000 0.588 0.412
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.1411 0.9065 0.000 0.964 0.036
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9587 1.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.2356 0.8861 0.000 0.928 0.072
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.1860 0.8604 0.052 0.000 0.948
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0424 0.9588 0.992 0.000 0.008
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9587 1.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9587 1.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 3 0.4015 0.8073 0.096 0.028 0.876
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.0424 0.9588 0.992 0.000 0.008
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 3 0.3267 0.8237 0.000 0.116 0.884
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 2 0.1525 0.8686 0.004 0.964 0.032
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.1289 0.8713 0.000 0.032 0.968
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.1411 0.9065 0.000 0.964 0.036
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 3 0.3192 0.8402 0.000 0.112 0.888
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 3 0.2810 0.8656 0.036 0.036 0.928
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0424 0.9588 0.992 0.000 0.008
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.1411 0.9065 0.000 0.964 0.036
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.1411 0.9065 0.000 0.964 0.036
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.1411 0.9065 0.000 0.964 0.036
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.1529 0.8706 0.000 0.040 0.960
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 2 0.5158 0.6801 0.004 0.764 0.232
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.9587 1.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0424 0.9588 0.992 0.000 0.008
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.2356 0.8861 0.000 0.928 0.072
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.9587 1.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.1411 0.9065 0.000 0.964 0.036
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.1529 0.8706 0.000 0.040 0.960
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.7378 0.2947 0.560 0.036 0.404
#> 29B732C6-0404-4B37-AD22-654A9348C95E 2 0.1525 0.8686 0.004 0.964 0.032
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 3 0.3116 0.8433 0.000 0.108 0.892
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0424 0.9588 0.992 0.000 0.008
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0424 0.9588 0.992 0.000 0.008
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.1411 0.9065 0.000 0.964 0.036
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.1411 0.8712 0.000 0.036 0.964
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.1411 0.8712 0.000 0.036 0.964
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0424 0.9588 0.992 0.000 0.008
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0424 0.9588 0.992 0.000 0.008
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.3192 0.8528 0.000 0.888 0.112
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.2689 0.9141 0.932 0.036 0.032
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#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.9587 1.000 0.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0424 0.9588 0.992 0.000 0.008
#> B4B762D1-965A-41FE-881D-BEC7445E797B 3 0.2711 0.8553 0.000 0.088 0.912
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.1411 0.9065 0.000 0.964 0.036
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.1529 0.8706 0.000 0.040 0.960
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.1411 0.9065 0.000 0.964 0.036
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.1411 0.8712 0.000 0.036 0.964
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.9587 1.000 0.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 3 0.3267 0.8369 0.000 0.116 0.884
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0424 0.9588 0.992 0.000 0.008
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 1 0.0424 0.9588 0.992 0.000 0.008
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.2689 0.9141 0.932 0.036 0.032
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.3649 0.8878 0.896 0.036 0.068
#> BCC92C08-F035-474D-9D53-0336D89366AB 3 0.2448 0.8457 0.076 0.000 0.924
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.1289 0.9048 0.000 0.968 0.032
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.2261 0.8526 0.068 0.000 0.932
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.1411 0.9065 0.000 0.964 0.036
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0424 0.9588 0.992 0.000 0.008
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.9587 1.000 0.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0237 0.9588 0.996 0.000 0.004
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0424 0.9588 0.992 0.000 0.008
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.9587 1.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 2 0.5968 0.4530 0.000 0.636 0.364
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.9587 1.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.2261 0.8526 0.068 0.000 0.932
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0424 0.9588 0.992 0.000 0.008
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.1411 0.9065 0.000 0.964 0.036
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0424 0.9588 0.992 0.000 0.008
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 3 0.1860 0.8604 0.052 0.000 0.948
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.1529 0.8706 0.000 0.040 0.960
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.1411 0.9065 0.000 0.964 0.036
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.1411 0.9065 0.000 0.964 0.036
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.1411 0.9065 0.000 0.964 0.036
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0237 0.9569 0.996 0.000 0.004
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.1453 0.8694 0.024 0.008 0.968
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0424 0.9588 0.992 0.000 0.008
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0424 0.9588 0.992 0.000 0.008
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.5111 0.8034 0.820 0.036 0.144
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0424 0.9588 0.992 0.000 0.008
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.1411 0.9065 0.000 0.964 0.036
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.1411 0.9065 0.000 0.964 0.036
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.4555 0.7548 0.000 0.800 0.200
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.0237 0.8874 0.000 0.996 0.004
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.1411 0.9065 0.000 0.964 0.036
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.9587 1.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9587 1.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 3 0.3116 0.8433 0.000 0.108 0.892
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 3 0.2959 0.8367 0.100 0.000 0.900
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 3 0.2261 0.8645 0.000 0.068 0.932
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.1411 0.9065 0.000 0.964 0.036
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.9587 1.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0424 0.9588 0.992 0.000 0.008
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.9587 1.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0424 0.9588 0.992 0.000 0.008
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0424 0.9588 0.992 0.000 0.008
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0424 0.9588 0.992 0.000 0.008
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.2689 0.9141 0.932 0.036 0.032
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.1289 0.8713 0.000 0.032 0.968
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.1411 0.9065 0.000 0.964 0.036
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 3 0.2448 0.8609 0.000 0.076 0.924
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.7466 0.1700 0.520 0.036 0.444
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0424 0.9588 0.992 0.000 0.008
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.6062 0.4035 0.000 0.616 0.384
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.2261 0.8526 0.068 0.000 0.932
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.1411 0.9065 0.000 0.964 0.036
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.6490 0.6335 0.708 0.036 0.256
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.9587 1.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.3253 0.9012 0.912 0.036 0.052
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.1529 0.8706 0.000 0.040 0.960
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.2165 0.8547 0.064 0.000 0.936
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.2261 0.8526 0.068 0.000 0.932
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.3038 0.8332 0.104 0.000 0.896
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 2 0.3112 0.8388 0.004 0.900 0.096
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0424 0.9588 0.992 0.000 0.008
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.0424 0.9588 0.992 0.000 0.008
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.1411 0.9065 0.000 0.964 0.036
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9587 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.2689 0.9141 0.932 0.036 0.032
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.6140 0.3502 0.000 0.596 0.404
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.7378 0.2947 0.560 0.036 0.404
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 2 0.1525 0.8686 0.004 0.964 0.032
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0424 0.9588 0.992 0.000 0.008
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.9587 1.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9587 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0424 0.9588 0.992 0.000 0.008
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0424 0.9588 0.992 0.000 0.008
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0424 0.9588 0.992 0.000 0.008
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.6253 0.6751 0.732 0.036 0.232
#> 79523685-8715-4B64-B53E-3A7506C06994 2 0.6339 0.4379 0.008 0.632 0.360
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0424 0.9588 0.992 0.000 0.008
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 3 0.3116 0.8433 0.000 0.108 0.892
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.1411 0.9065 0.000 0.964 0.036
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.9587 1.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 3 0.5968 0.4279 0.000 0.364 0.636
#> ACCFCE18-1113-4203-845F-4608539005FE 3 0.3752 0.8016 0.144 0.000 0.856
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.2689 0.9141 0.932 0.036 0.032
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.6211 0.6818 0.736 0.036 0.228
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.6045 0.4137 0.000 0.620 0.380
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.1753 0.8684 0.000 0.048 0.952
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.4485 0.6791 0.012 0.000 0.740 0.248
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 4 0.5389 0.6506 0.308 0.000 0.032 0.660
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.2124 0.7873 0.000 0.008 0.924 0.068
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.4840 0.5665 0.732 0.000 0.028 0.240
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 3 0.5470 0.6790 0.100 0.000 0.732 0.168
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.8178 0.000 1.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.7589 0.2212 0.000 0.404 0.196 0.400
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.8178 0.000 1.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 3 0.5288 0.2955 0.000 0.008 0.520 0.472
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.7354 0.3149 0.000 0.480 0.352 0.168
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0188 0.9725 0.996 0.000 0.004 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0672 0.7962 0.000 0.008 0.984 0.008
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 4 0.7861 -0.1523 0.000 0.284 0.324 0.392
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.4452 0.7202 0.000 0.732 0.008 0.260
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0188 0.9722 0.996 0.000 0.000 0.004
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.3279 0.7595 0.000 0.872 0.032 0.096
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0672 0.7962 0.000 0.008 0.984 0.008
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0188 0.9725 0.996 0.000 0.004 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 3 0.5137 0.3561 0.000 0.004 0.544 0.452
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.0188 0.9715 0.996 0.000 0.004 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 4 0.5119 -0.2310 0.000 0.004 0.440 0.556
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 4 0.3688 0.5676 0.000 0.208 0.000 0.792
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0336 0.7974 0.000 0.008 0.992 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.4452 0.7202 0.000 0.732 0.008 0.260
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 3 0.6248 0.6495 0.000 0.100 0.640 0.260
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 3 0.4244 0.7371 0.000 0.036 0.804 0.160
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.4452 0.7202 0.000 0.732 0.008 0.260
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.4452 0.7202 0.000 0.732 0.008 0.260
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.4328 0.7296 0.000 0.748 0.008 0.244
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.1970 0.7894 0.000 0.008 0.932 0.060
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 4 0.3208 0.5821 0.000 0.148 0.004 0.848
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0188 0.9725 0.996 0.000 0.004 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.3182 0.7619 0.000 0.876 0.028 0.096
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.8178 0.000 1.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.2124 0.7873 0.000 0.008 0.924 0.068
#> 1DF936AB-8850-45F5-827A-2DC578388F24 4 0.4614 0.6878 0.144 0.000 0.064 0.792
#> 29B732C6-0404-4B37-AD22-654A9348C95E 4 0.3688 0.5676 0.000 0.208 0.000 0.792
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 3 0.6248 0.6495 0.000 0.100 0.640 0.260
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.8178 0.000 1.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0336 0.7974 0.000 0.008 0.992 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0336 0.7974 0.000 0.008 0.992 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.5998 0.6452 0.000 0.664 0.088 0.248
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 4 0.5473 0.6341 0.324 0.000 0.032 0.644
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 4 0.4008 0.6031 0.000 0.148 0.032 0.820
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.8178 0.000 1.000 0.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.3279 0.7595 0.000 0.872 0.032 0.096
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0672 0.7938 0.008 0.000 0.984 0.008
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0336 0.8134 0.000 0.992 0.000 0.008
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 3 0.5285 0.3229 0.000 0.008 0.524 0.468
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.1733 0.9220 0.948 0.000 0.028 0.024
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 2 0.1118 0.7970 0.000 0.964 0.000 0.036
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.3402 0.7447 0.000 0.004 0.832 0.164
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 4 0.5473 0.6341 0.324 0.000 0.032 0.644
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0804 0.9560 0.980 0.000 0.012 0.008
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 4 0.3708 0.5978 0.000 0.148 0.020 0.832
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#> DD2C1231-2724-4F32-8307-9C8C03E3448B 4 0.5686 0.5439 0.376 0.000 0.032 0.592
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 3 0.5923 0.6744 0.000 0.100 0.684 0.216
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.8178 0.000 1.000 0.000 0.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.2124 0.7873 0.000 0.008 0.924 0.068
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.8178 0.000 1.000 0.000 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.0336 0.7974 0.000 0.008 0.992 0.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 3 0.6547 0.6262 0.000 0.124 0.616 0.260
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 1 0.1209 0.9346 0.964 0.000 0.032 0.004
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 4 0.5473 0.6341 0.324 0.000 0.032 0.644
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 4 0.5432 0.6430 0.316 0.000 0.032 0.652
#> BCC92C08-F035-474D-9D53-0336D89366AB 3 0.4012 0.7230 0.004 0.004 0.788 0.204
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.2408 0.7913 0.000 0.896 0.000 0.104
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0672 0.7938 0.008 0.000 0.984 0.008
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.8178 0.000 1.000 0.000 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.1356 0.9327 0.960 0.000 0.032 0.008
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 2 0.5690 0.6243 0.000 0.708 0.196 0.096
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.0672 0.7938 0.008 0.000 0.984 0.008
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0188 0.9725 0.996 0.000 0.004 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.1557 0.8097 0.000 0.944 0.000 0.056
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.1151 0.9424 0.968 0.000 0.024 0.008
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 3 0.2675 0.7769 0.000 0.008 0.892 0.100
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.2124 0.7873 0.000 0.008 0.924 0.068
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.8178 0.000 1.000 0.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.3837 0.7446 0.000 0.776 0.000 0.224
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.1792 0.8038 0.000 0.932 0.000 0.068
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.5894 -0.0743 0.536 0.000 0.036 0.428
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0672 0.7962 0.000 0.008 0.984 0.008
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 4 0.4932 0.7000 0.240 0.000 0.032 0.728
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.4452 0.7202 0.000 0.732 0.008 0.260
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.8178 0.000 1.000 0.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.5454 0.6460 0.000 0.732 0.172 0.096
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.2647 0.7424 0.000 0.880 0.000 0.120
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.4452 0.7202 0.000 0.732 0.008 0.260
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.2921 0.7931 0.860 0.000 0.000 0.140
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 3 0.6248 0.6495 0.000 0.100 0.640 0.260
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 3 0.4381 0.7371 0.008 0.028 0.804 0.160
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 3 0.4244 0.7371 0.000 0.036 0.804 0.160
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0188 0.8176 0.000 0.996 0.000 0.004
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.5025 0.5296 0.716 0.000 0.032 0.252
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 4 0.5473 0.6341 0.324 0.000 0.032 0.644
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0336 0.7974 0.000 0.008 0.992 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.8178 0.000 1.000 0.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 3 0.6195 0.6562 0.000 0.100 0.648 0.252
#> 133E9177-2E28-46BE-8298-5217E1537E73 4 0.5787 0.4515 0.076 0.000 0.244 0.680
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.7084 0.4758 0.000 0.552 0.284 0.164
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0672 0.7938 0.008 0.000 0.984 0.008
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.4452 0.7202 0.000 0.732 0.008 0.260
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 4 0.4746 0.6929 0.168 0.000 0.056 0.776
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 4 0.4932 0.7000 0.240 0.000 0.032 0.728
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.3402 0.7447 0.000 0.004 0.832 0.164
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0672 0.7938 0.008 0.000 0.984 0.008
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0672 0.7938 0.008 0.000 0.984 0.008
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.3557 0.7634 0.036 0.000 0.856 0.108
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 4 0.3893 0.5726 0.000 0.196 0.008 0.796
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.1042 0.9471 0.972 0.000 0.020 0.008
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.8178 0.000 1.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 4 0.5473 0.6341 0.324 0.000 0.032 0.644
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.7396 0.1773 0.000 0.432 0.404 0.164
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 4 0.4139 0.6869 0.144 0.000 0.040 0.816
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 4 0.3831 0.5697 0.000 0.204 0.004 0.792
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 4 0.5083 0.6980 0.248 0.000 0.036 0.716
#> 79523685-8715-4B64-B53E-3A7506C06994 4 0.4540 0.5901 0.000 0.196 0.032 0.772
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 3 0.6547 0.6262 0.000 0.124 0.616 0.260
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.2466 0.7734 0.000 0.900 0.004 0.096
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.9757 1.000 0.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 3 0.7538 0.4270 0.000 0.248 0.492 0.260
#> ACCFCE18-1113-4203-845F-4608539005FE 3 0.5783 0.6007 0.188 0.000 0.704 0.108
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 4 0.4713 0.5804 0.360 0.000 0.000 0.640
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 4 0.4988 0.7003 0.236 0.000 0.036 0.728
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.6245 0.5238 0.000 0.636 0.268 0.096
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.2480 0.7829 0.000 0.008 0.904 0.088
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.5040 0.28279 0.000 0.272 0.660 0.000 0.068
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 5 0.3984 0.83378 0.120 0.064 0.008 0.000 0.808
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.3231 0.60678 0.000 0.196 0.800 0.000 0.004
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.4813 0.06783 0.508 0.008 0.008 0.000 0.476
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 3 0.5092 -0.21113 0.012 0.464 0.508 0.000 0.016
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 4 0.0162 0.85114 0.000 0.000 0.000 0.996 0.004
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.4578 0.71093 0.000 0.724 0.048 0.224 0.004
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 4 0.0162 0.85114 0.000 0.000 0.000 0.996 0.004
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.5807 0.48190 0.000 0.560 0.360 0.016 0.064
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.7761 -0.20976 0.000 0.376 0.360 0.184 0.080
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0290 0.93578 0.992 0.008 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.74896 0.000 0.000 1.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.4964 0.72138 0.000 0.708 0.084 0.204 0.004
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.3949 0.66667 0.000 0.696 0.000 0.300 0.004
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.2536 0.86560 0.868 0.004 0.000 0.000 0.128
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.5279 0.69701 0.000 0.184 0.004 0.688 0.124
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0162 0.74870 0.000 0.000 0.996 0.000 0.004
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0290 0.93578 0.992 0.008 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.5505 0.30135 0.000 0.484 0.452 0.000 0.064
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.0963 0.90778 0.964 0.000 0.036 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.5040 0.61032 0.000 0.680 0.236 0.000 0.084
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 5 0.4696 0.75344 0.000 0.156 0.000 0.108 0.736
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.74896 0.000 0.000 1.000 0.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.3913 0.65639 0.000 0.676 0.000 0.324 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.5160 0.64924 0.000 0.672 0.256 0.064 0.008
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 3 0.4796 -0.21765 0.000 0.468 0.516 0.004 0.012
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.3895 0.65818 0.000 0.680 0.000 0.320 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.3913 0.65639 0.000 0.676 0.000 0.324 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.3949 0.64706 0.000 0.668 0.000 0.332 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.3246 0.61666 0.000 0.184 0.808 0.000 0.008
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.4686 0.75420 0.000 0.160 0.000 0.104 0.736
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.1830 0.90465 0.924 0.008 0.000 0.000 0.068
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0404 0.93565 0.988 0.012 0.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.4808 0.72141 0.000 0.168 0.000 0.724 0.108
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 4 0.0162 0.85114 0.000 0.000 0.000 0.996 0.004
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.3282 0.61306 0.000 0.188 0.804 0.000 0.008
#> 1DF936AB-8850-45F5-827A-2DC578388F24 5 0.2990 0.83951 0.100 0.024 0.008 0.000 0.868
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.4743 0.75069 0.000 0.156 0.000 0.112 0.732
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.5048 0.63654 0.000 0.672 0.268 0.052 0.008
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0162 0.93854 0.996 0.004 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 4 0.0162 0.84829 0.000 0.004 0.000 0.996 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.74896 0.000 0.000 1.000 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.74896 0.000 0.000 1.000 0.000 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0162 0.93854 0.996 0.004 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.4844 0.70534 0.000 0.692 0.044 0.256 0.008
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.2770 0.83902 0.124 0.004 0.008 0.000 0.864
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 5 0.4642 0.76503 0.000 0.140 0.004 0.104 0.752
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#> 766E5BEF-D5FC-4C60-831C-88667F858375 4 0.0162 0.85114 0.000 0.000 0.000 0.996 0.004
#> 31110A59-6DD4-4EDD-A056-C45DBC8966CC 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 0816836B-3F01-45BC-A843-00867E98FAD7 2 0.4520 0.53670 0.000 0.644 0.340 0.008 0.008
#> 708F24EB-4551-4A3F-8E59-FA76ABE305D7 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 6EF22E72-6FCD-4645-8E8A-F6F117387082 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 680DFFFE-43F3-4A48-A662-FFE89FB43B04 1 0.2488 0.86879 0.872 0.004 0.000 0.000 0.124
#> 4BB7CD09-ECE2-4774-B82C-949B6558C4D2 2 0.5470 0.68415 0.000 0.704 0.180 0.076 0.040
#> 10E55344-362E-4982-B9EF-BE428086D27E 3 0.0162 0.74870 0.000 0.000 0.996 0.000 0.004
#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 2 0.4985 0.35147 0.000 0.524 0.452 0.008 0.016
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 2 0.5752 0.36257 0.000 0.500 0.412 0.000 0.088
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 4 0.0162 0.85114 0.000 0.000 0.000 0.996 0.004
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 3 0.7758 0.25734 0.000 0.372 0.384 0.120 0.124
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 5 0.2907 0.84156 0.116 0.012 0.008 0.000 0.864
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 3 0.0000 0.74896 0.000 0.000 1.000 0.000 0.000
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 3 0.7758 0.25734 0.000 0.372 0.384 0.120 0.124
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 3 0.0000 0.74896 0.000 0.000 1.000 0.000 0.000
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.3913 0.65639 0.000 0.676 0.000 0.324 0.000
#> 347C4168-42C5-494B-8080-2C244F6201FF 5 0.4696 0.75344 0.000 0.156 0.000 0.108 0.736
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 4 0.0162 0.85114 0.000 0.000 0.000 0.996 0.004
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 1 0.1430 0.89596 0.944 0.000 0.052 0.000 0.004
#> 59363737-247E-4524-B7CD-F43B2C861027 4 0.4926 0.71420 0.000 0.176 0.000 0.712 0.112
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 3 0.0162 0.74870 0.000 0.000 0.996 0.000 0.004
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.2249 0.88774 0.896 0.008 0.000 0.000 0.096
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 4 0.4808 0.72141 0.000 0.168 0.000 0.724 0.108
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.4779 0.45252 0.000 0.584 0.396 0.004 0.016
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 3 0.7729 0.26341 0.000 0.372 0.388 0.116 0.124
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.5377 0.70347 0.000 0.680 0.176 0.140 0.004
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 4 0.5055 0.71523 0.000 0.168 0.004 0.712 0.116
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0290 0.93782 0.992 0.008 0.000 0.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.2672 0.87133 0.872 0.008 0.004 0.000 0.116
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.3080 0.84502 0.844 0.008 0.008 0.000 0.140
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.5443 0.70074 0.000 0.672 0.184 0.140 0.004
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 5 0.4709 0.33256 0.400 0.008 0.008 0.000 0.584
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0162 0.93854 0.996 0.004 0.000 0.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0162 0.93854 0.996 0.004 0.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.2612 0.86722 0.868 0.008 0.000 0.000 0.124
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.5066 0.60753 0.000 0.652 0.296 0.044 0.008
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 4 0.0162 0.85114 0.000 0.000 0.000 0.996 0.004
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.3282 0.61306 0.000 0.188 0.804 0.000 0.008
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 4 0.0162 0.85114 0.000 0.000 0.000 0.996 0.004
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.0000 0.74896 0.000 0.000 1.000 0.000 0.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0162 0.93851 0.996 0.004 0.000 0.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.5282 0.67993 0.000 0.676 0.220 0.100 0.004
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 1 0.3006 0.77189 0.836 0.004 0.156 0.000 0.004
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 5 0.2894 0.83755 0.124 0.008 0.008 0.000 0.860
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 5 0.2722 0.84130 0.120 0.004 0.008 0.000 0.868
#> BCC92C08-F035-474D-9D53-0336D89366AB 3 0.4821 -0.21069 0.000 0.464 0.516 0.000 0.020
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 4 0.4040 0.59885 0.000 0.276 0.000 0.712 0.012
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0162 0.74870 0.000 0.000 0.996 0.000 0.004
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 4 0.0000 0.84978 0.000 0.000 0.000 1.000 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.3080 0.84502 0.844 0.008 0.008 0.000 0.140
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0162 0.93854 0.996 0.004 0.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0162 0.93854 0.996 0.004 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.7581 0.48174 0.000 0.184 0.184 0.512 0.120
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.2513 0.87402 0.876 0.008 0.000 0.000 0.116
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.0162 0.74870 0.000 0.000 0.996 0.000 0.004
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0290 0.93578 0.992 0.008 0.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 4 0.3177 0.57469 0.000 0.208 0.000 0.792 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.1914 0.90805 0.928 0.008 0.008 0.000 0.056
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 3 0.3838 0.34100 0.000 0.280 0.716 0.000 0.004
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.3353 0.60450 0.000 0.196 0.796 0.000 0.008
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 4 0.0162 0.84829 0.000 0.004 0.000 0.996 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.4201 0.53568 0.000 0.592 0.000 0.408 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 4 0.3210 0.58474 0.000 0.212 0.000 0.788 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 5 0.4777 0.45574 0.356 0.016 0.008 0.000 0.620
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.74896 0.000 0.000 1.000 0.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0162 0.93854 0.996 0.004 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 5 0.2857 0.84224 0.112 0.012 0.008 0.000 0.868
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.3913 0.65639 0.000 0.676 0.000 0.324 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 4 0.0162 0.85114 0.000 0.000 0.000 0.996 0.004
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.6950 0.59654 0.000 0.184 0.108 0.588 0.120
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 4 0.4049 0.69775 0.000 0.124 0.000 0.792 0.084
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.3895 0.65818 0.000 0.680 0.000 0.320 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.3809 0.68937 0.736 0.008 0.000 0.000 0.256
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.2660 0.86385 0.864 0.008 0.000 0.000 0.128
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.5087 0.64105 0.000 0.672 0.264 0.056 0.008
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 3 0.4796 -0.21104 0.004 0.468 0.516 0.000 0.012
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 3 0.4440 -0.19101 0.000 0.468 0.528 0.000 0.004
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 4 0.0510 0.84163 0.000 0.016 0.000 0.984 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.4809 0.10067 0.516 0.008 0.008 0.000 0.468
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.2488 0.86879 0.872 0.004 0.000 0.000 0.124
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.2818 0.83691 0.128 0.004 0.008 0.000 0.860
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.74896 0.000 0.000 1.000 0.000 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 4 0.0162 0.85114 0.000 0.000 0.000 0.996 0.004
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.5006 0.63145 0.000 0.672 0.272 0.048 0.008
#> 133E9177-2E28-46BE-8298-5217E1537E73 2 0.6532 0.33652 0.000 0.448 0.204 0.000 0.348
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.8181 -0.09481 0.000 0.376 0.260 0.244 0.120
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0162 0.74870 0.000 0.000 0.996 0.000 0.004
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.3913 0.65639 0.000 0.676 0.000 0.324 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 5 0.2908 0.84162 0.108 0.016 0.008 0.000 0.868
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0671 0.93242 0.980 0.004 0.000 0.000 0.016
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.2796 0.84196 0.116 0.008 0.008 0.000 0.868
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.6040 0.40368 0.000 0.372 0.504 0.000 0.124
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0162 0.74870 0.000 0.000 0.996 0.000 0.004
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0162 0.74870 0.000 0.000 0.996 0.000 0.004
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.3957 0.34038 0.000 0.280 0.712 0.000 0.008
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.4686 0.75420 0.000 0.160 0.000 0.104 0.736
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.2408 0.88498 0.892 0.004 0.008 0.000 0.096
#> BE787416-396B-48B4-A5D2-8E2EE082D001 4 0.0162 0.85114 0.000 0.000 0.000 0.996 0.004
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0162 0.93854 0.996 0.004 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.2612 0.84006 0.124 0.000 0.008 0.000 0.868
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.8146 -0.18658 0.000 0.356 0.324 0.196 0.124
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 5 0.3076 0.83475 0.088 0.036 0.008 0.000 0.868
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.4696 0.75344 0.000 0.156 0.000 0.108 0.736
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0290 0.93782 0.992 0.008 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0162 0.93851 0.996 0.004 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.93911 1.000 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.2857 0.84224 0.112 0.012 0.008 0.000 0.868
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.4642 0.76503 0.000 0.140 0.004 0.104 0.752
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0162 0.93851 0.996 0.004 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.5240 0.67421 0.000 0.676 0.228 0.092 0.004
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.4761 0.72359 0.000 0.168 0.000 0.728 0.104
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.1764 0.90764 0.928 0.008 0.000 0.000 0.064
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.5420 0.70505 0.000 0.676 0.172 0.148 0.004
#> ACCFCE18-1113-4203-845F-4608539005FE 3 0.6092 -0.08471 0.100 0.384 0.508 0.000 0.008
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.2930 0.80604 0.164 0.004 0.000 0.000 0.832
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.2857 0.84224 0.112 0.012 0.008 0.000 0.868
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.7886 0.37178 0.000 0.184 0.236 0.456 0.124
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.3487 0.59346 0.000 0.212 0.780 0.000 0.008
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.5570 0.3476 0.000 0.172 0.564 0.004 0.260 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 5 0.4555 -0.2197 0.036 0.000 0.000 0.424 0.540 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.4206 0.6262 0.000 0.212 0.724 0.060 0.004 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 5 0.3314 0.6084 0.256 0.004 0.000 0.000 0.740 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0363 0.8910 0.988 0.012 0.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.4418 0.5224 0.000 0.604 0.368 0.012 0.016 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 6 0.1826 0.7897 0.000 0.020 0.000 0.052 0.004 0.924
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.3264 0.8094 0.000 0.840 0.012 0.076 0.000 0.072
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 6 0.0692 0.7998 0.000 0.020 0.000 0.000 0.004 0.976
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.3986 0.7228 0.000 0.748 0.204 0.012 0.036 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.7251 0.0918 0.000 0.280 0.404 0.236 0.012 0.068
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0363 0.8910 0.988 0.012 0.000 0.000 0.000 0.000
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#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.4331 0.5698 0.000 0.632 0.340 0.012 0.016 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.4217 0.5850 0.000 0.644 0.332 0.012 0.012 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 6 0.2448 0.7741 0.000 0.052 0.000 0.064 0.000 0.884
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 5 0.3266 0.5942 0.272 0.000 0.000 0.000 0.728 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0363 0.8910 0.988 0.012 0.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 5 0.3996 0.2569 0.484 0.004 0.000 0.000 0.512 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0363 0.8910 0.988 0.012 0.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0363 0.8910 0.988 0.012 0.000 0.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0363 0.8910 0.988 0.012 0.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.0937 0.6179 0.040 0.000 0.000 0.000 0.960 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.8774 0.000 0.000 1.000 0.000 0.000 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 6 0.0692 0.7998 0.000 0.020 0.000 0.000 0.004 0.976
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.2225 0.8094 0.000 0.892 0.092 0.008 0.008 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.6157 -0.1843 0.000 0.392 0.192 0.012 0.404 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0363 0.8910 0.988 0.012 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.7477 0.1709 0.000 0.284 0.208 0.392 0.012 0.104
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0146 0.8772 0.000 0.000 0.996 0.000 0.004 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.3167 0.8001 0.000 0.832 0.000 0.072 0.000 0.096
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 5 0.1989 0.5747 0.028 0.004 0.000 0.052 0.916 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.2664 0.6910 0.816 0.000 0.000 0.000 0.184 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.2138 0.5850 0.036 0.004 0.000 0.052 0.908 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.6610 0.0705 0.000 0.264 0.324 0.388 0.004 0.020
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0146 0.8772 0.000 0.000 0.996 0.000 0.004 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0291 0.8753 0.000 0.000 0.992 0.004 0.004 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.4345 0.2717 0.000 0.344 0.628 0.012 0.016 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 4 0.4740 0.4666 0.000 0.008 0.000 0.524 0.436 0.032
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0146 0.8899 0.996 0.004 0.000 0.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.3738 0.4002 0.680 0.004 0.000 0.004 0.312 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 6 0.0692 0.7998 0.000 0.020 0.000 0.000 0.004 0.976
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0547 0.8807 0.980 0.000 0.000 0.000 0.020 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.2138 0.5850 0.036 0.004 0.000 0.052 0.908 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.7457 0.1460 0.000 0.248 0.256 0.384 0.008 0.104
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 5 0.1952 0.5557 0.016 0.012 0.000 0.052 0.920 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 4 0.4740 0.4666 0.000 0.008 0.000 0.524 0.436 0.032
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0363 0.8910 0.988 0.012 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.1387 0.8444 0.932 0.000 0.000 0.000 0.068 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.1152 0.8624 0.952 0.004 0.000 0.000 0.044 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.8892 1.000 0.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0363 0.8910 0.988 0.012 0.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0363 0.8910 0.988 0.012 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.1863 0.5917 0.036 0.000 0.000 0.044 0.920 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 4 0.4648 0.4587 0.000 0.004 0.000 0.520 0.444 0.032
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.1007 0.8643 0.956 0.000 0.000 0.000 0.044 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.2009 0.8169 0.000 0.908 0.068 0.000 0.000 0.024
#> 581B589A-0489-4A89-8E4B-86719EB9C756 6 0.4433 0.6309 0.000 0.068 0.000 0.200 0.012 0.720
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.3756 0.1635 0.600 0.000 0.000 0.000 0.400 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.3338 0.8125 0.000 0.844 0.032 0.064 0.000 0.060
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.5629 0.3897 0.060 0.516 0.392 0.012 0.020 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.1349 0.6220 0.056 0.004 0.000 0.000 0.940 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.2263 0.5767 0.036 0.004 0.000 0.060 0.900 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.6975 -0.2187 0.000 0.076 0.164 0.384 0.004 0.372
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.4288 0.6188 0.000 0.216 0.716 0.064 0.004 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 6.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.981 0.992 0.5013 0.499 0.499
#> 3 3 0.917 0.912 0.963 0.2729 0.825 0.662
#> 4 4 0.803 0.836 0.915 0.1103 0.892 0.716
#> 5 5 0.859 0.830 0.918 0.0665 0.908 0.706
#> 6 6 0.984 0.933 0.961 0.0389 0.947 0.794
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 6
#> attr(,"optional")
#> [1] 2 3
There is also optional best \(k\) = 2 3 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.0000 0.993 1.000 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.993 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.0000 0.990 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.993 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.993 1.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 1 0.0000 0.993 1.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.990 0.000 1.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.990 0.000 1.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.990 0.000 1.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.990 0.000 1.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.0000 0.990 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.993 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.993 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.0000 0.990 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.990 0.000 1.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.990 0.000 1.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.993 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0000 0.990 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 1 0.9286 0.473 0.656 0.344
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.993 1.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.993 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.993 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 1 0.9635 0.367 0.612 0.388
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.0000 0.993 1.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.990 0.000 1.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 2 0.0000 0.990 0.000 1.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.0000 0.990 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.990 0.000 1.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.990 0.000 1.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.990 0.000 1.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.993 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.990 0.000 1.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.990 0.000 1.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.990 0.000 1.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.0000 0.990 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 2 0.0000 0.990 0.000 1.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.993 1.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.993 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0000 0.990 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.993 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.990 0.000 1.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.0000 0.990 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.993 1.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 2 0.0000 0.990 0.000 1.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.990 0.000 1.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.993 1.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.993 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.990 0.000 1.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.0000 0.990 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.0000 0.990 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.993 1.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.993 1.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.0000 0.990 0.000 1.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.993 1.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 2 0.0000 0.990 0.000 1.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.990 0.000 1.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.0000 0.990 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.993 1.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 1 0.0000 0.993 1.000 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.990 0.000 1.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.0000 0.990 0.000 1.000
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.993 1.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 2 0.0000 0.990 0.000 1.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.0000 0.990 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.993 1.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.993 1.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.993 1.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 2 0.0000 0.990 0.000 1.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.0000 0.990 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 2 0.0000 0.990 0.000 1.000
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#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.993 1.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.0000 0.990 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 1 0.0000 0.993 1.000 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.990 0.000 1.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.993 1.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.993 1.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.993 1.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.0000 0.990 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 1 0.2423 0.953 0.960 0.040
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 1 0.0000 0.993 1.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 1 0.0000 0.993 1.000 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 2 0.0000 0.990 0.000 1.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.993 1.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.0000 0.993 1.000 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.990 0.000 1.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.993 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.993 1.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.0000 0.990 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.5737 0.840 0.864 0.136
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 2 0.0000 0.990 0.000 1.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.993 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.993 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.993 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.993 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.993 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.993 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.993 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 2 0.0000 0.990 0.000 1.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.993 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.990 0.000 1.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.990 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.993 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.990 0.000 1.000
#> ACCFCE18-1113-4203-845F-4608539005FE 1 0.0000 0.993 1.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.993 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.993 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.0000 0.990 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.0000 0.990 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.583 0.4324 0.340 0.000 0.660
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.000 0.9867 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.455 0.7726 0.000 0.200 0.800
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.000 0.9867 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.000 0.9867 1.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 3 0.400 0.7475 0.160 0.000 0.840
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.000 0.9583 0.000 1.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.000 0.9583 0.000 1.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.000 0.9583 0.000 1.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.186 0.9047 0.000 0.948 0.052
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.614 0.2013 0.000 0.596 0.404
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.000 0.9867 1.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.000 0.9867 1.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.000 0.8979 0.000 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.000 0.9583 0.000 1.000 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.000 0.9583 0.000 1.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.000 0.9867 1.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.000 0.9583 0.000 1.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.000 0.8979 0.000 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.000 0.9867 1.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.000 0.9867 1.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.000 0.9867 1.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.803 0.1334 0.064 0.516 0.420
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.000 0.9867 1.000 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.000 0.9583 0.000 1.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 2 0.000 0.9583 0.000 1.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.000 0.8979 0.000 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.000 0.9583 0.000 1.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.000 0.9583 0.000 1.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 3 0.000 0.8979 0.000 0.000 1.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.000 0.9867 1.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.000 0.9583 0.000 1.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.000 0.9583 0.000 1.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.000 0.9583 0.000 1.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.455 0.7726 0.000 0.200 0.800
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 2 0.000 0.9583 0.000 1.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.000 0.9867 1.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.000 0.9867 1.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.000 0.9583 0.000 1.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.000 0.9867 1.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.000 0.9583 0.000 1.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.455 0.7726 0.000 0.200 0.800
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.000 0.9867 1.000 0.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 2 0.000 0.9583 0.000 1.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.000 0.9583 0.000 1.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.000 0.9867 1.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.000 0.9867 1.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.000 0.9583 0.000 1.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.000 0.8979 0.000 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.000 0.8979 0.000 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.000 0.9867 1.000 0.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.000 0.9867 1.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.000 0.9583 0.000 1.000 0.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.000 0.9867 1.000 0.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 2 0.000 0.9583 0.000 1.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.000 0.9583 0.000 1.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.000 0.9583 0.000 1.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.000 0.9867 1.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.000 0.8979 0.000 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.000 0.9583 0.000 1.000 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.103 0.9345 0.000 0.976 0.024
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.000 0.9867 1.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 2 0.000 0.9583 0.000 1.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.455 0.7726 0.000 0.200 0.800
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.000 0.9867 1.000 0.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.000 0.9867 1.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.000 0.9867 1.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 2 0.000 0.9583 0.000 1.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 3 0.514 0.7092 0.000 0.252 0.748
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 2 0.000 0.9583 0.000 1.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.000 0.9583 0.000 1.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.000 0.9867 1.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.000 0.8979 0.000 0.000 1.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 2 0.000 0.9583 0.000 1.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.000 0.9583 0.000 1.000 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.000 0.9867 1.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.000 0.9583 0.000 1.000 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 1 0.455 0.7605 0.800 0.000 0.200
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 2 0.000 0.9583 0.000 1.000 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.000 0.8979 0.000 0.000 1.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.000 0.9867 1.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.000 0.9583 0.000 1.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.000 0.9867 1.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.000 0.9867 1.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.000 0.8979 0.000 0.000 1.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.000 0.9867 1.000 0.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 3 0.455 0.7726 0.000 0.200 0.800
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.000 0.9583 0.000 1.000 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.000 0.9867 1.000 0.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.000 0.9867 1.000 0.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.000 0.9867 1.000 0.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.000 0.9867 1.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.000 0.9583 0.000 1.000 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.000 0.9583 0.000 1.000 0.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.000 0.9867 1.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.000 0.9583 0.000 1.000 0.000
#> E3671E10-825D-499B-B949-D5033855C744 1 0.000 0.9867 1.000 0.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.000 0.9867 1.000 0.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.000 0.9583 0.000 1.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.000 0.8979 0.000 0.000 1.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.000 0.9867 1.000 0.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 2 0.000 0.9583 0.000 1.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.000 0.9583 0.000 1.000 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.000 0.9867 1.000 0.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.455 0.7726 0.000 0.200 0.800
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.000 0.9867 1.000 0.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.000 0.9583 0.000 1.000 0.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.412 0.7631 0.000 0.832 0.168
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.000 0.9583 0.000 1.000 0.000
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 3 0.000 0.8979 0.000 0.000 1.000
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.000 0.9583 0.000 1.000 0.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 2 0.000 0.9583 0.000 1.000 0.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.000 0.9583 0.000 1.000 0.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.000 0.9867 1.000 0.000 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.000 0.9867 1.000 0.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.000 0.9583 0.000 1.000 0.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.000 0.9867 1.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.000 0.9583 0.000 1.000 0.000
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.000 0.9867 1.000 0.000 0.000
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.000 0.9583 0.000 1.000 0.000
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.604 0.4943 0.000 0.380 0.620
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.000 0.9867 1.000 0.000 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.000 0.9867 1.000 0.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.000 0.9867 1.000 0.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 3 0.000 0.8979 0.000 0.000 1.000
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.000 0.9583 0.000 1.000 0.000
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 3 0.000 0.8979 0.000 0.000 1.000
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.000 0.9867 1.000 0.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.000 0.9583 0.000 1.000 0.000
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.000 0.9867 1.000 0.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 3 0.000 0.8979 0.000 0.000 1.000
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 3 0.429 0.7890 0.000 0.180 0.820
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.000 0.9583 0.000 1.000 0.000
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.000 0.9583 0.000 1.000 0.000
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.000 0.9867 1.000 0.000 0.000
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 3 0.000 0.8979 0.000 0.000 1.000
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 2 0.000 0.9583 0.000 1.000 0.000
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.000 0.9583 0.000 1.000 0.000
#> 4C15BE7F-B855-4670-9E38-0A626527D981 3 0.000 0.8979 0.000 0.000 1.000
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.000 0.9583 0.000 1.000 0.000
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#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.625 0.0517 0.000 0.556 0.444
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.626 0.3265 0.000 0.448 0.552
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.4933 0.3123 0.568 0.000 0.432 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 4 0.3528 0.8446 0.000 0.192 0.000 0.808
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.3610 0.7477 0.000 0.200 0.800 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 1 0.7495 0.1592 0.468 0.000 0.340 0.192
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.4967 0.3216 0.000 0.452 0.548 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.8174 0.000 0.000 1.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0921 0.8440 0.000 0.972 0.028 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.8174 0.000 0.000 1.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.6758 0.6514 0.004 0.628 0.176 0.192
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 4 0.3528 0.8446 0.000 0.192 0.000 0.808
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.8174 0.000 0.000 1.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 3 0.7495 0.0678 0.000 0.340 0.468 0.192
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.3610 0.7477 0.000 0.200 0.800 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 4 0.3528 0.8446 0.000 0.192 0.000 0.808
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0921 0.8440 0.000 0.972 0.028 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.3610 0.7477 0.000 0.200 0.800 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 4 0.3668 0.7877 0.188 0.004 0.000 0.808
#> 29B732C6-0404-4B37-AD22-654A9348C95E 4 0.3528 0.8446 0.000 0.192 0.000 0.808
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.8174 0.000 0.000 1.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.8174 0.000 0.000 1.000 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 4 0.4989 0.2827 0.472 0.000 0.000 0.528
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 4 0.3528 0.8446 0.000 0.192 0.000 0.808
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.0921 0.8440 0.000 0.972 0.028 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.8174 0.000 0.000 1.000 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.3710 0.8608 0.000 0.804 0.004 0.192
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 4 0.3528 0.8446 0.000 0.192 0.000 0.808
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.3610 0.7477 0.000 0.200 0.800 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 4 0.4277 0.6937 0.280 0.000 0.000 0.720
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 4 0.3528 0.8446 0.000 0.192 0.000 0.808
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 3 0.4804 0.4959 0.000 0.384 0.616 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 4 0.3528 0.8446 0.000 0.192 0.000 0.808
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0000 0.8174 0.000 0.000 1.000 0.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 4 0.3528 0.8446 0.000 0.192 0.000 0.808
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.4643 0.2556 0.000 0.656 0.000 0.344
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 1 0.6964 0.4532 0.604 0.004 0.200 0.192
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 4 0.3528 0.8446 0.000 0.192 0.000 0.808
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.8174 0.000 0.000 1.000 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.8174 0.000 0.000 1.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 3 0.3610 0.7477 0.000 0.200 0.800 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.3356 0.8642 0.000 0.824 0.000 0.176
#> 8AA6D751-D111-42EE-B874-D82769F4A888 4 0.3688 0.7720 0.208 0.000 0.000 0.792
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.0921 0.8440 0.000 0.972 0.028 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.0921 0.8440 0.000 0.972 0.028 0.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.8174 0.000 0.000 1.000 0.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 4 0.3528 0.8446 0.000 0.192 0.000 0.808
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 4 0.4307 0.8037 0.144 0.048 0.000 0.808
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.3726 0.7361 0.000 0.212 0.788 0.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.3852 0.8578 0.000 0.800 0.008 0.192
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 3 0.0000 0.8174 0.000 0.000 1.000 0.000
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 4 0.3528 0.8446 0.000 0.192 0.000 0.808
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 4 0.3528 0.7855 0.192 0.000 0.000 0.808
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.4643 0.5662 0.000 0.344 0.656 0.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 4 0.3528 0.7855 0.192 0.000 0.000 0.808
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 3 0.0000 0.8174 0.000 0.000 1.000 0.000
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 3 0.0000 0.8174 0.000 0.000 1.000 0.000
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 3 0.1716 0.7995 0.000 0.064 0.936 0.000
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 3 0.3610 0.7477 0.000 0.200 0.800 0.000
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 3 0.0000 0.8174 0.000 0.000 1.000 0.000
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 4 0.3528 0.8446 0.000 0.192 0.000 0.808
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> 4C15BE7F-B855-4670-9E38-0A626527D981 3 0.0000 0.8174 0.000 0.000 1.000 0.000
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> 0CE75D6A-B796-4982-9405-1602F9468945 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> EAB94BCC-7CF2-462C-87A2-7B464BADA4AC 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 563EB6A9-F589-49A8-89B2-2F1185C65C4E 4 0.3528 0.7855 0.192 0.000 0.000 0.808
#> 53DA4154-2ACE-4D7F-98AD-257C8B986DA2 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> B2EA5A29-4642-4364-A733-C30E5A9FA38E 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> 38078B54-6BBA-4696-BB22-9D5FC49E631D 4 0.3528 0.8446 0.000 0.192 0.000 0.808
#> F5A64B5A-54BA-41A1-8CA2-75D27C5680D3 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 1506AC5C-E9D2-469A-8B74-AD6FDA81031B 4 0.4996 0.2454 0.484 0.000 0.000 0.516
#> D8E31979-B4A1-4799-A6FE-8B2286290F53 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> 783FA571-A31A-4852-855B-4E8009A9C8F1 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> D8758939-ACDC-444E-A980-5AC342E107A8 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> D7D4461C-60DA-4EE9-80FC-0D98CB87BA8F 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> 5C8E4F70-8C40-4036-B69A-11F9D0BC6243 4 0.3528 0.8446 0.000 0.192 0.000 0.808
#> 97E25CCB-1D3A-435A-9273-75DD8B25610A 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 59B0A79B-00CA-480A-A7EC-F3EA73B1465A 3 0.0000 0.8174 0.000 0.000 1.000 0.000
#> 06E96222-F5E3-4DB1-A6CD-1889B8D54C6F 3 0.0000 0.8174 0.000 0.000 1.000 0.000
#> EAE40D3B-BC6E-466C-AA9E-01E85B82ED8B 2 0.0000 0.8629 0.000 1.000 0.000 0.000
#> B5470009-9751-4D1B-8E34-60C6BF272059 3 0.4855 0.4629 0.000 0.400 0.600 0.000
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#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.9638 1.000 0.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.3528 0.8636 0.000 0.808 0.000 0.192
#> ACCFCE18-1113-4203-845F-4608539005FE 1 0.6883 0.4406 0.596 0.000 0.212 0.192
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0921 0.9348 0.972 0.000 0.000 0.028
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 4 0.3768 0.7896 0.184 0.008 0.000 0.808
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.4955 0.3456 0.000 0.444 0.556 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.4855 0.4629 0.000 0.400 0.600 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.4505 0.3199 0.384 0.000 0.604 0.012 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.3932 0.6395 0.000 0.328 0.672 0.000 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 4 0.2471 0.7906 0.000 0.000 0.136 0.864 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 4 0.0290 0.8710 0.000 0.008 0.000 0.992 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 4 0.0000 0.8790 0.000 0.000 0.000 1.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.3534 0.4745 0.000 0.744 0.256 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.8818 0.000 0.000 1.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.4256 0.5070 0.000 0.564 0.000 0.436 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0000 0.7490 0.000 1.000 0.000 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.8818 0.000 0.000 1.000 0.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 4 0.0000 0.8790 0.000 0.000 0.000 1.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.2074 0.8807 0.896 0.000 0.104 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 4 0.0000 0.8790 0.000 0.000 0.000 1.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.8818 0.000 0.000 1.000 0.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.4219 0.5399 0.000 0.584 0.000 0.416 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.2561 0.8019 0.000 0.856 0.000 0.144 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 4 0.2377 0.7986 0.000 0.000 0.128 0.872 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.4219 0.5399 0.000 0.584 0.000 0.416 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.4273 0.4856 0.000 0.552 0.000 0.448 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.3932 0.6395 0.000 0.328 0.672 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0000 0.7490 0.000 1.000 0.000 0.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.3932 0.6395 0.000 0.328 0.672 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.2561 0.8019 0.000 0.856 0.000 0.144 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.8818 0.000 0.000 1.000 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.8818 0.000 0.000 1.000 0.000 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.0000 0.7490 0.000 1.000 0.000 0.000 0.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.3730 0.5790 0.288 0.000 0.000 0.000 0.712
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.0000 0.7490 0.000 1.000 0.000 0.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.8818 0.000 0.000 1.000 0.000 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 4 0.0000 0.8790 0.000 0.000 0.000 1.000 0.000
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 2 0.4291 0.1447 0.000 0.536 0.000 0.000 0.464
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.3932 0.6395 0.000 0.328 0.672 0.000 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 5 0.1121 0.8984 0.044 0.000 0.000 0.000 0.956
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.4307 -0.2144 0.000 0.504 0.496 0.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 4 0.4101 0.0449 0.000 0.372 0.000 0.628 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0000 0.8818 0.000 0.000 1.000 0.000 0.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.4138 0.5874 0.000 0.616 0.000 0.384 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.2660 0.7244 0.000 0.864 0.000 0.008 0.128
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 4 0.2574 0.7674 0.112 0.000 0.012 0.876 0.000
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.8818 0.000 0.000 1.000 0.000 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.4273 0.4856 0.000 0.552 0.000 0.448 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.8818 0.000 0.000 1.000 0.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 3 0.3932 0.6395 0.000 0.328 0.672 0.000 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 5 0.0162 0.9441 0.004 0.000 0.000 0.000 0.996
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.0000 0.7490 0.000 1.000 0.000 0.000 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.0000 0.7490 0.000 1.000 0.000 0.000 0.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 4 0.0000 0.8790 0.000 0.000 0.000 1.000 0.000
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.8818 0.000 0.000 1.000 0.000 0.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.3932 0.6395 0.000 0.328 0.672 0.000 0.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.4268 0.4930 0.000 0.556 0.000 0.444 0.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 4 0.0000 0.8790 0.000 0.000 0.000 1.000 0.000
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 3 0.0000 0.8818 0.000 0.000 1.000 0.000 0.000
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.4268 0.4930 0.000 0.556 0.000 0.444 0.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.4182 0.5645 0.000 0.600 0.000 0.400 0.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.2377 0.8037 0.000 0.872 0.000 0.128 0.000
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.4256 0.4041 0.000 0.436 0.564 0.000 0.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 3 0.0162 0.8792 0.000 0.000 0.996 0.004 0.000
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 3 0.0000 0.8818 0.000 0.000 1.000 0.000 0.000
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 3 0.2280 0.8179 0.000 0.120 0.880 0.000 0.000
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 3 0.3932 0.6395 0.000 0.328 0.672 0.000 0.000
#> 45795A09-54FD-4805-82BB-20DBD7425579 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 4 0.0000 0.8790 0.000 0.000 0.000 1.000 0.000
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 3 0.0000 0.8818 0.000 0.000 1.000 0.000 0.000
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 5 0.0609 0.9253 0.000 0.020 0.000 0.000 0.980
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.3932 0.6559 0.000 0.672 0.000 0.328 0.000
#> 4C15BE7F-B855-4670-9E38-0A626527D981 3 0.0000 0.8818 0.000 0.000 1.000 0.000 0.000
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 2 0.4268 0.4933 0.000 0.556 0.000 0.444 0.000
#> 0CE75D6A-B796-4982-9405-1602F9468945 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> EAB94BCC-7CF2-462C-87A2-7B464BADA4AC 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 563EB6A9-F589-49A8-89B2-2F1185C65C4E 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> 53DA4154-2ACE-4D7F-98AD-257C8B986DA2 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
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#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 4 0.0000 0.8790 0.000 0.000 0.000 1.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 4 0.2660 0.7461 0.128 0.000 0.008 0.864 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.0000 0.7490 0.000 1.000 0.000 0.000 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.8818 0.000 0.000 1.000 0.000 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.4273 0.4856 0.000 0.552 0.000 0.448 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.3932 0.6395 0.000 0.328 0.672 0.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.8818 0.000 0.000 1.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.8818 0.000 0.000 1.000 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 4 0.2561 0.7833 0.000 0.000 0.144 0.856 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.2471 0.8062 0.000 0.864 0.000 0.136 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.3913 0.3254 0.000 0.676 0.324 0.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 4 0.0000 0.8790 0.000 0.000 0.000 1.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.7490 0.000 1.000 0.000 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.9913 1.000 0.000 0.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 4 0.4126 0.0100 0.000 0.380 0.000 0.620 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 4 0.2629 0.7891 0.004 0.000 0.136 0.860 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.3177 0.7284 0.792 0.000 0.000 0.000 0.208
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.0000 0.9483 0.000 0.000 0.000 0.000 1.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.3684 0.4283 0.000 0.720 0.280 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.4273 -0.0576 0.000 0.552 0.448 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.1082 0.9180 0.040 0.000 0.956 0.000 0.000 0.004
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 5 0.0972 0.9169 0.000 0.000 0.000 0.028 0.964 0.008
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.1563 0.9311 0.000 0.012 0.056 0.932 0.000 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.1297 0.9464 0.948 0.000 0.000 0.040 0.000 0.012
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 6 0.0790 0.9288 0.000 0.000 0.032 0.000 0.000 0.968
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0146 0.9716 0.000 0.996 0.000 0.004 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.1957 0.8850 0.000 0.888 0.000 0.000 0.000 0.112
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0146 0.9716 0.000 0.996 0.000 0.004 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 6 0.0363 0.9467 0.000 0.012 0.000 0.000 0.000 0.988
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 4 0.1564 0.9315 0.000 0.040 0.024 0.936 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.9678 0.000 0.000 1.000 0.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0865 0.9583 0.000 0.964 0.000 0.000 0.000 0.036
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0458 0.9675 0.000 0.984 0.000 0.000 0.000 0.016
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.1501 0.9155 0.000 0.076 0.000 0.924 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.9678 0.000 0.000 1.000 0.000 0.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0146 0.9830 0.996 0.000 0.000 0.004 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 6 0.0363 0.9467 0.000 0.012 0.000 0.000 0.000 0.988
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.3817 0.2217 0.568 0.000 0.432 0.000 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 6 0.0363 0.9467 0.000 0.012 0.000 0.000 0.000 0.988
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 5 0.0547 0.9150 0.000 0.020 0.000 0.000 0.980 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.9678 0.000 0.000 1.000 0.000 0.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0632 0.9644 0.000 0.976 0.000 0.000 0.000 0.024
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0547 0.9656 0.000 0.980 0.000 0.000 0.000 0.020
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 6 0.0363 0.9407 0.000 0.000 0.012 0.000 0.000 0.988
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0547 0.9659 0.000 0.980 0.000 0.000 0.000 0.020
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.1141 0.9479 0.000 0.948 0.000 0.000 0.000 0.052
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0260 0.9703 0.000 0.992 0.000 0.000 0.000 0.008
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 4 0.1563 0.9311 0.000 0.012 0.056 0.932 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.0547 0.9150 0.000 0.020 0.000 0.000 0.980 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0632 0.9750 0.976 0.000 0.000 0.024 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0363 0.9808 0.988 0.000 0.000 0.012 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.3151 0.7215 0.000 0.252 0.000 0.748 0.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0146 0.9716 0.000 0.996 0.000 0.004 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 4 0.1563 0.9311 0.000 0.012 0.056 0.932 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 5 0.1367 0.9137 0.000 0.000 0.000 0.044 0.944 0.012
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.0547 0.9150 0.000 0.020 0.000 0.000 0.980 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0547 0.9656 0.000 0.980 0.000 0.000 0.000 0.020
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0146 0.9830 0.996 0.000 0.000 0.004 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9718 0.000 1.000 0.000 0.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0363 0.9598 0.000 0.000 0.988 0.012 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0458 0.9566 0.000 0.000 0.984 0.016 0.000 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0146 0.9830 0.996 0.000 0.000 0.004 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.0458 0.9633 0.000 0.984 0.000 0.016 0.000 0.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.4676 0.5880 0.256 0.000 0.000 0.060 0.672 0.012
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 5 0.0000 0.9172 0.000 0.000 0.000 0.000 1.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0146 0.9716 0.000 0.996 0.000 0.004 0.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.1610 0.9114 0.000 0.084 0.000 0.916 0.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.9678 0.000 0.000 1.000 0.000 0.000 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0508 0.9643 0.000 0.984 0.000 0.004 0.012 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 6 0.0363 0.9467 0.000 0.012 0.000 0.000 0.000 0.988
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0146 0.9830 0.996 0.000 0.000 0.004 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 5 0.3163 0.6741 0.000 0.232 0.000 0.004 0.764 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.1563 0.9311 0.000 0.012 0.056 0.932 0.000 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 5 0.1922 0.8988 0.024 0.000 0.000 0.040 0.924 0.012
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0146 0.9830 0.996 0.000 0.000 0.004 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0632 0.9750 0.976 0.000 0.000 0.024 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 5 0.0909 0.9127 0.000 0.020 0.000 0.012 0.968 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.1633 0.9362 0.000 0.024 0.044 0.932 0.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 5 0.0547 0.9150 0.000 0.020 0.000 0.000 0.980 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.3126 0.6870 0.000 0.752 0.000 0.000 0.000 0.248
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0000 0.9678 0.000 0.000 1.000 0.000 0.000 0.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 5 0.0000 0.9172 0.000 0.000 0.000 0.000 1.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0865 0.9581 0.000 0.964 0.000 0.000 0.000 0.036
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0260 0.9821 0.992 0.000 0.000 0.008 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.1411 0.9255 0.000 0.936 0.000 0.004 0.060 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 6 0.0508 0.9354 0.012 0.000 0.004 0.000 0.000 0.984
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 5 0.0547 0.9150 0.000 0.020 0.000 0.000 0.980 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0363 0.9598 0.000 0.000 0.988 0.012 0.000 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.1075 0.9507 0.000 0.952 0.000 0.000 0.000 0.048
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.9678 0.000 0.000 1.000 0.000 0.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.1563 0.9311 0.000 0.012 0.056 0.932 0.000 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.9718 0.000 1.000 0.000 0.000 0.000 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 5 0.1297 0.9149 0.000 0.000 0.000 0.040 0.948 0.012
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0547 0.9770 0.980 0.000 0.000 0.020 0.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0260 0.9821 0.992 0.000 0.000 0.008 0.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0146 0.9820 0.996 0.000 0.000 0.004 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.1610 0.9114 0.000 0.084 0.000 0.916 0.000 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.1663 0.9088 0.000 0.088 0.000 0.912 0.000 0.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 6 0.3126 0.6850 0.000 0.248 0.000 0.000 0.000 0.752
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0363 0.9808 0.988 0.000 0.000 0.012 0.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0146 0.9826 0.996 0.000 0.000 0.004 0.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.9718 0.000 1.000 0.000 0.000 0.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.9678 0.000 0.000 1.000 0.000 0.000 0.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0363 0.9808 0.988 0.000 0.000 0.012 0.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 5 0.0547 0.9150 0.000 0.020 0.000 0.000 0.980 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.9718 0.000 1.000 0.000 0.000 0.000 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 5 0.1225 0.9157 0.000 0.000 0.000 0.036 0.952 0.012
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#> 1F746AE9-EF0E-448F-A0FE-80A243288040 5 0.1297 0.9149 0.000 0.000 0.000 0.040 0.948 0.012
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0458 0.9781 0.984 0.000 0.000 0.016 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.1297 0.9149 0.000 0.000 0.000 0.040 0.948 0.012
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.1563 0.9311 0.000 0.012 0.056 0.932 0.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9678 0.000 0.000 1.000 0.000 0.000 0.000
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#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
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#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.1297 0.9149 0.000 0.000 0.000 0.040 0.948 0.012
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#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 5 0.0260 0.9179 0.000 0.000 0.000 0.000 0.992 0.008
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.0547 0.9150 0.000 0.020 0.000 0.000 0.980 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0547 0.9771 0.980 0.000 0.000 0.020 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0146 0.9830 0.996 0.000 0.000 0.004 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.1563 0.9092 0.000 0.000 0.000 0.056 0.932 0.012
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.0000 0.9172 0.000 0.000 0.000 0.000 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9833 1.000 0.000 0.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 6 0.0458 0.9453 0.000 0.016 0.000 0.000 0.000 0.984
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.3706 0.4677 0.000 0.380 0.000 0.620 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0632 0.9750 0.976 0.000 0.000 0.024 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.2941 0.7351 0.000 0.780 0.000 0.000 0.000 0.220
#> ACCFCE18-1113-4203-845F-4608539005FE 6 0.0790 0.9288 0.000 0.000 0.032 0.000 0.000 0.968
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.3115 0.8377 0.848 0.000 0.000 0.048 0.092 0.012
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.1297 0.9149 0.000 0.000 0.000 0.040 0.948 0.012
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.1564 0.9315 0.000 0.040 0.024 0.936 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 4 0.1644 0.9358 0.000 0.028 0.040 0.932 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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 6.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.973 0.989 0.4951 0.505 0.505
#> 3 3 0.901 0.902 0.960 0.2924 0.810 0.640
#> 4 4 0.792 0.747 0.870 0.0933 0.942 0.844
#> 5 5 0.904 0.863 0.939 0.0885 0.882 0.655
#> 6 6 0.913 0.775 0.889 0.0394 0.954 0.815
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 6
#> attr(,"optional")
#> [1] 2 3 5
There is also optional best \(k\) = 2 3 5 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
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.0000 0.990 1.000 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.990 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.0000 0.988 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.990 1.000 0.000
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#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 1 0.0000 0.990 1.000 0.000
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#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.990 1.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.988 0.000 1.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.990 1.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.990 1.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.990 1.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.990 1.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.990 1.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.990 1.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.988 0.000 1.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.988 0.000 1.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 2 0.0000 0.988 0.000 1.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.988 0.000 1.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 1 0.9286 0.479 0.656 0.344
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.990 1.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.988 0.000 1.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.990 1.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 1 0.0000 0.990 1.000 0.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.990 1.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.990 1.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 1 0.1184 0.975 0.984 0.016
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.0000 0.988 0.000 1.000
#> B9009D40-10AC-48B3-9495-865BCE904CB1 1 0.0000 0.990 1.000 0.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.988 0.000 1.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.990 1.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.990 1.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.990 1.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.990 1.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.990 1.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 2 0.0000 0.988 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.990 1.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 1 0.0000 0.990 1.000 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.990 1.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.988 0.000 1.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.990 1.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 1 0.4298 0.898 0.912 0.088
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 2 0.0000 0.988 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.988 0.000 1.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.988 0.000 1.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.988 0.000 1.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.990 1.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 1 0.0000 0.990 1.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.990 1.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.990 1.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.990 1.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.990 1.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.988 0.000 1.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.988 0.000 1.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.0000 0.988 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.0000 0.988 0.000 1.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.988 0.000 1.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.990 1.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.990 1.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.988 0.000 1.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 1 0.2948 0.938 0.948 0.052
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 1 0.9170 0.507 0.668 0.332
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.988 0.000 1.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.990 1.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.990 1.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.990 1.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.990 1.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.990 1.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.990 1.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.990 1.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 1 0.6623 0.791 0.828 0.172
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.988 0.000 1.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.988 0.000 1.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0000 0.990 1.000 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.990 1.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.0000 0.988 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 1 0.0000 0.990 1.000 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.988 0.000 1.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.990 1.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.990 1.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.990 1.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.0000 0.988 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 1 0.0000 0.990 1.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 1 0.0000 0.990 1.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 1 0.0000 0.990 1.000 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 2 0.0000 0.988 0.000 1.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.990 1.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.0000 0.990 1.000 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.988 0.000 1.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.990 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.990 1.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.0000 0.988 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.990 1.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 2 0.0000 0.988 0.000 1.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.990 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.990 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.990 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.990 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.990 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.990 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.990 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 2 0.0000 0.988 0.000 1.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.990 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.988 0.000 1.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.988 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.990 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.988 0.000 1.000
#> ACCFCE18-1113-4203-845F-4608539005FE 1 0.0000 0.990 1.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.990 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.990 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.0000 0.988 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.0000 0.988 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.6154 0.3103 0.592 0.000 0.408
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9821 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.0000 0.8922 0.000 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9821 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9821 1.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 1 0.6204 0.2664 0.576 0.000 0.424
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.9596 0.000 1.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.9596 0.000 1.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.9596 0.000 1.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.6079 0.3425 0.000 0.612 0.388
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.5327 0.6315 0.000 0.272 0.728
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9821 1.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9821 1.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.8922 0.000 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.9596 0.000 1.000 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.9596 0.000 1.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9821 1.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0000 0.9596 0.000 1.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.8922 0.000 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9821 1.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9821 1.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9821 1.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 3 0.6274 0.1514 0.456 0.000 0.544
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.0000 0.9821 1.000 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.9596 0.000 1.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 2 0.0000 0.9596 0.000 1.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.8922 0.000 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.9596 0.000 1.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.9596 0.000 1.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 3 0.5621 0.5362 0.308 0.000 0.692
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9821 1.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.9596 0.000 1.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.9596 0.000 1.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9596 0.000 1.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.8922 0.000 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 2 0.0000 0.9596 0.000 1.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.9821 1.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.9821 1.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0000 0.9596 0.000 1.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.9821 1.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9596 0.000 1.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.8922 0.000 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.1289 0.9514 0.968 0.000 0.032
#> 29B732C6-0404-4B37-AD22-654A9348C95E 2 0.0000 0.9596 0.000 1.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.9596 0.000 1.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.9821 1.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9821 1.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9596 0.000 1.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.8922 0.000 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.8922 0.000 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.9821 1.000 0.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9821 1.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.0000 0.9596 0.000 1.000 0.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.9821 1.000 0.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.9821 1.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.9596 0.000 1.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.0000 0.9596 0.000 1.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9821 1.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.8922 0.000 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.9596 0.000 1.000 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 3 0.6309 0.0324 0.000 0.496 0.504
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.9821 1.000 0.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 2 0.0000 0.9596 0.000 1.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.0000 0.8922 0.000 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.9821 1.000 0.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.9821 1.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.9821 1.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 2 0.0000 0.9596 0.000 1.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 3 0.4555 0.7262 0.000 0.200 0.800
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 2 0.0000 0.9596 0.000 1.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.9596 0.000 1.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.9821 1.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.5058 0.6418 0.244 0.000 0.756
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 2 0.5363 0.5575 0.276 0.724 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.9596 0.000 1.000 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.9821 1.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.0000 0.9596 0.000 1.000 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 1 0.5291 0.6337 0.732 0.000 0.268
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 2 0.0000 0.9596 0.000 1.000 0.000
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#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.8922 0.000 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9821 1.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.9821 1.000 0.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.9821 1.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9821 1.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.9596 0.000 1.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.9596 0.000 1.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.6095 0.2925 0.000 0.608 0.392
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.0000 0.9596 0.000 1.000 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.9596 0.000 1.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.9821 1.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9821 1.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.9596 0.000 1.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 3 0.5621 0.5360 0.308 0.000 0.692
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 3 0.0000 0.8922 0.000 0.000 1.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.9596 0.000 1.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.9821 1.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9821 1.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.9821 1.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9821 1.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.9821 1.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9821 1.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.9821 1.000 0.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.8922 0.000 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.9596 0.000 1.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.6062 0.3327 0.000 0.616 0.384
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.4504 0.7503 0.804 0.000 0.196
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9821 1.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.5363 0.5763 0.000 0.724 0.276
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.8922 0.000 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.9596 0.000 1.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.9821 1.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.9821 1.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.9821 1.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.0424 0.8875 0.000 0.008 0.992
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.8922 0.000 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.8922 0.000 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.4235 0.7433 0.176 0.000 0.824
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 2 0.0000 0.9596 0.000 1.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.9821 1.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.0000 0.9821 1.000 0.000 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.9596 0.000 1.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9821 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.9821 1.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.6244 0.2685 0.000 0.440 0.560
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.3619 0.8328 0.864 0.000 0.136
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 2 0.0000 0.9596 0.000 1.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9821 1.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.9821 1.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9821 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9821 1.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9821 1.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9821 1.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.9821 1.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 2 0.0000 0.9596 0.000 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9821 1.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9596 0.000 1.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.9596 0.000 1.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.9821 1.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9596 0.000 1.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 1 0.5327 0.6283 0.728 0.000 0.272
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.9821 1.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.9821 1.000 0.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.6252 0.2570 0.000 0.444 0.556
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.4887 0.6928 0.000 0.228 0.772
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.4907 0.31384 0.580 0.000 0.420 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.4981 0.50273 0.536 0.000 0.000 0.464
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 3 0.4992 0.02356 0.476 0.000 0.524 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.7164 0.37574 0.000 0.556 0.204 0.240
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.4957 0.21894 0.000 0.320 0.668 0.012
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0188 0.80169 0.000 0.996 0.004 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.4981 0.59300 0.000 0.464 0.000 0.536
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 3 0.6998 0.01578 0.416 0.000 0.468 0.116
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.4713 0.36376 0.640 0.000 0.360 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.3982 0.62654 0.000 0.776 0.004 0.220
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 2 0.4981 0.38973 0.000 0.536 0.000 0.464
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0817 0.78554 0.000 0.976 0.024 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 3 0.0592 0.91925 0.016 0.000 0.984 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 2 0.4981 0.38973 0.000 0.536 0.000 0.464
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.4981 0.59300 0.000 0.464 0.000 0.536
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.4981 0.50273 0.536 0.000 0.000 0.464
#> 29B732C6-0404-4B37-AD22-654A9348C95E 2 0.3907 0.61726 0.000 0.768 0.000 0.232
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.3688 0.57353 0.000 0.792 0.208 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.3486 0.59931 0.000 0.812 0.188 0.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.4981 0.50273 0.536 0.000 0.000 0.464
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.4981 0.50273 0.536 0.000 0.000 0.464
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.4981 0.59300 0.000 0.464 0.000 0.536
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.7261 0.34756 0.000 0.536 0.196 0.268
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0188 0.88268 0.996 0.000 0.000 0.004
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.4981 0.14287 0.000 0.000 0.464 0.536
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.4981 0.50273 0.536 0.000 0.000 0.464
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 2 0.4981 0.38973 0.000 0.536 0.000 0.464
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.7261 0.61507 0.000 0.196 0.268 0.536
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 2 0.4981 0.38973 0.000 0.536 0.000 0.464
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.3764 0.59082 0.216 0.000 0.784 0.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 4 0.7657 0.00949 0.256 0.280 0.000 0.464
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 1 0.7188 0.47178 0.552 0.000 0.204 0.244
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 2 0.4877 0.44136 0.000 0.592 0.000 0.408
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.4981 0.14287 0.000 0.000 0.464 0.536
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.4981 0.50273 0.536 0.000 0.000 0.464
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0707 0.87319 0.980 0.000 0.000 0.020
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.4981 0.59300 0.000 0.464 0.000 0.536
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.4981 0.59300 0.000 0.464 0.000 0.536
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.0524 0.79789 0.000 0.988 0.004 0.008
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.88496 1.000 0.000 0.000 0.000
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#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.4955 0.52149 0.556 0.000 0.000 0.444
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.4981 0.50273 0.536 0.000 0.000 0.464
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.4981 0.59300 0.000 0.464 0.000 0.536
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.1637 0.84675 0.940 0.000 0.000 0.060
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.3649 0.57894 0.000 0.796 0.204 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.4981 0.50273 0.536 0.000 0.000 0.464
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.4981 0.50273 0.536 0.000 0.000 0.464
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.4331 0.46045 0.000 0.712 0.288 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.4981 0.50273 0.536 0.000 0.000 0.464
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.4981 0.50273 0.536 0.000 0.000 0.464
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.4981 0.50273 0.536 0.000 0.000 0.464
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.5383 0.18217 0.000 0.012 0.452 0.536
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.0000 0.94316 0.000 0.000 1.000 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 2 0.4981 0.38973 0.000 0.536 0.000 0.464
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.4981 0.50273 0.536 0.000 0.000 0.464
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.7301 0.63673 0.000 0.228 0.236 0.536
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.4981 0.50273 0.536 0.000 0.000 0.464
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 2 0.4981 0.38973 0.000 0.536 0.000 0.464
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.4981 0.50273 0.536 0.000 0.000 0.464
#> 79523685-8715-4B64-B53E-3A7506C06994 2 0.4981 0.38973 0.000 0.536 0.000 0.464
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.4981 0.59300 0.000 0.464 0.000 0.536
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.88496 1.000 0.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.80452 0.000 1.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 1 0.4605 0.48334 0.664 0.000 0.336 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.2469 0.81296 0.892 0.000 0.000 0.108
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.4981 0.50273 0.536 0.000 0.000 0.464
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.6376 0.62303 0.000 0.396 0.068 0.536
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.3688 0.52144 0.000 0.208 0.792 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.4273 0.1727 0.552 0.000 0.448 0.000 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.2891 0.7057 0.000 0.176 0.824 0.000 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 3 0.4138 0.3537 0.384 0.000 0.616 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.3274 0.7803 0.000 0.780 0.000 0.220 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.3274 0.7803 0.000 0.780 0.000 0.220 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.5341 0.3060 0.000 0.564 0.060 0.000 0.376
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.4848 0.2082 0.000 0.556 0.420 0.024 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0162 0.8461 0.000 0.004 0.000 0.996 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 1 0.6703 -0.0799 0.396 0.000 0.360 0.000 0.244
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.4060 0.4239 0.640 0.000 0.360 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.2605 0.7530 0.000 0.852 0.000 0.000 0.148
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 3 0.0510 0.9188 0.016 0.000 0.984 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0000 0.8458 0.000 0.000 0.000 1.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.3274 0.7803 0.000 0.780 0.000 0.220 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.3857 0.4932 0.000 0.312 0.000 0.000 0.688
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0290 0.8784 0.000 0.992 0.008 0.000 0.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.3274 0.7803 0.000 0.780 0.000 0.220 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.3242 0.7825 0.000 0.784 0.000 0.216 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0000 0.8458 0.000 0.000 0.000 1.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.3274 0.7803 0.000 0.780 0.000 0.220 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 5 0.6003 -0.0489 0.000 0.440 0.112 0.000 0.448
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0162 0.9632 0.996 0.000 0.000 0.000 0.004
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 2 0.3759 0.7684 0.000 0.764 0.000 0.220 0.016
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.3274 0.7147 0.000 0.000 0.220 0.780 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.3690 0.8173 0.000 0.200 0.020 0.780 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0609 0.9137 0.020 0.000 0.980 0.000 0.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.3274 0.7803 0.000 0.780 0.000 0.220 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 1 0.6312 0.2781 0.524 0.000 0.200 0.000 0.276
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 5 0.2020 0.8040 0.000 0.100 0.000 0.000 0.900
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.3398 0.7193 0.000 0.004 0.216 0.780 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
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#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.3452 0.5929 0.000 0.756 0.244 0.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.3274 0.7803 0.000 0.780 0.000 0.220 0.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.3274 0.7803 0.000 0.780 0.000 0.220 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 1 0.2891 0.7573 0.824 0.000 0.176 0.000 0.000
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 3 0.1478 0.8539 0.064 0.000 0.936 0.000 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.0510 0.8777 0.000 0.984 0.000 0.016 0.000
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.1792 0.8501 0.000 0.916 0.000 0.084 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.1544 0.8460 0.000 0.068 0.000 0.932 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.3274 0.7803 0.000 0.780 0.000 0.220 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 5 0.3336 0.5901 0.228 0.000 0.000 0.000 0.772
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.3274 0.7803 0.000 0.780 0.000 0.220 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0000 0.8458 0.000 0.000 0.000 1.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 5 0.6633 -0.0838 0.000 0.384 0.000 0.220 0.396
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 5 0.4227 0.2625 0.420 0.000 0.000 0.000 0.580
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.3274 0.7803 0.000 0.780 0.000 0.220 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.1410 0.8364 0.000 0.940 0.060 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.3274 0.7147 0.000 0.000 0.220 0.780 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.0000 0.9368 0.000 0.000 1.000 0.000 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.3274 0.7803 0.000 0.780 0.000 0.220 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.3690 0.8173 0.000 0.200 0.020 0.780 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0000 0.8458 0.000 0.000 0.000 1.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.9669 1.000 0.000 0.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.8834 0.000 1.000 0.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 3 0.4227 0.2768 0.420 0.000 0.580 0.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.4074 0.3843 0.364 0.000 0.000 0.000 0.636
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.0000 0.9244 0.000 0.000 0.000 0.000 1.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.2707 0.8381 0.000 0.132 0.008 0.860 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.4074 0.3831 0.000 0.364 0.636 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.3838 0.1871 0.552 0.000 0.448 0.000 0.000 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 5 0.3847 0.9469 0.000 0.000 0.000 0.000 0.544 0.456
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.2597 0.6978 0.000 0.176 0.824 0.000 0.000 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9700 1.000 0.000 0.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9700 1.000 0.000 0.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 6 0.4750 0.2439 0.052 0.000 0.404 0.000 0.000 0.544
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.3847 0.5711 0.000 0.544 0.000 0.000 0.456 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 6 0.3847 0.6721 0.000 0.456 0.000 0.000 0.000 0.544
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.3847 0.5711 0.000 0.544 0.000 0.000 0.456 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 6 0.4769 0.6306 0.000 0.364 0.060 0.000 0.000 0.576
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.6027 -0.0609 0.000 0.248 0.400 0.352 0.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9700 1.000 0.000 0.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9700 1.000 0.000 0.000 0.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.9521 0.000 0.000 1.000 0.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0146 0.5767 0.000 0.996 0.000 0.000 0.000 0.004
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.5801 0.000 1.000 0.000 0.000 0.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9700 1.000 0.000 0.000 0.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0000 0.9378 0.000 0.000 0.000 1.000 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.9521 0.000 0.000 1.000 0.000 0.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9700 1.000 0.000 0.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9700 1.000 0.000 0.000 0.000 0.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9700 1.000 0.000 0.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 6 0.3980 0.4110 0.052 0.000 0.216 0.000 0.000 0.732
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.3647 0.4403 0.640 0.000 0.360 0.000 0.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.3789 -0.2813 0.000 0.584 0.000 0.000 0.000 0.416
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 5 0.3847 0.9469 0.000 0.000 0.000 0.000 0.544 0.456
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.9521 0.000 0.000 1.000 0.000 0.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.2697 0.2870 0.000 0.812 0.000 0.000 0.000 0.188
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.3515 -0.1753 0.000 0.676 0.000 0.000 0.000 0.324
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 6 0.4838 0.3242 0.000 0.060 0.396 0.000 0.000 0.544
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9700 1.000 0.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.5801 0.000 1.000 0.000 0.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 6 0.3847 0.6721 0.000 0.456 0.000 0.000 0.000 0.544
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.5801 0.000 1.000 0.000 0.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.9521 0.000 0.000 1.000 0.000 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.3847 0.9469 0.000 0.000 0.000 0.000 0.544 0.456
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.9700 1.000 0.000 0.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.9700 1.000 0.000 0.000 0.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.3747 0.5915 0.000 0.000 0.000 0.604 0.396 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.9700 1.000 0.000 0.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.3847 0.5711 0.000 0.544 0.000 0.000 0.456 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.9521 0.000 0.000 1.000 0.000 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 5 0.3847 0.9469 0.000 0.000 0.000 0.000 0.544 0.456
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.3847 0.9469 0.000 0.000 0.000 0.000 0.544 0.456
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.2793 0.2305 0.000 0.800 0.000 0.000 0.000 0.200
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.9700 1.000 0.000 0.000 0.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9700 1.000 0.000 0.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.3847 0.5711 0.000 0.544 0.000 0.000 0.456 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.9521 0.000 0.000 1.000 0.000 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.9521 0.000 0.000 1.000 0.000 0.000 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.9700 1.000 0.000 0.000 0.000 0.000 0.000
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#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.3847 0.5160 0.000 0.000 0.000 0.544 0.456 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.9700 1.000 0.000 0.000 0.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 6 0.3847 0.6721 0.000 0.456 0.000 0.000 0.000 0.544
#> ACCFCE18-1113-4203-845F-4608539005FE 6 0.4802 0.2396 0.056 0.000 0.404 0.000 0.000 0.540
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.5166 0.3943 0.364 0.000 0.000 0.000 0.540 0.096
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.3847 0.9469 0.000 0.000 0.000 0.000 0.544 0.456
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0000 0.9378 0.000 0.000 0.000 1.000 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.3659 0.2884 0.000 0.364 0.636 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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 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 0.5005 0.500 0.500
#> 3 3 1.000 0.978 0.991 0.2703 0.866 0.732
#> 4 4 0.884 0.897 0.948 0.1461 0.905 0.741
#> 5 5 0.728 0.755 0.804 0.0364 0.953 0.834
#> 6 6 0.828 0.750 0.889 0.0469 0.932 0.735
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2
There is also optional best \(k\) = 2 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.0000 0.999 0.000 1.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.997 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.0000 0.999 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.997 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.997 1.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.999 0.000 1.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.999 0.000 1.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.999 0.000 1.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.999 0.000 1.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.999 0.000 1.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.0000 0.999 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.997 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.997 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 2 0.0000 0.999 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.999 0.000 1.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.999 0.000 1.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.997 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0000 0.999 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 2 0.0000 0.999 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.997 1.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.997 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.997 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.0000 0.999 0.000 1.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 2 0.0000 0.999 0.000 1.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.0000 0.999 0.000 1.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.997 1.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.0000 0.999 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.999 0.000 1.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0000 0.999 0.000 1.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.999 0.000 1.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.997 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.999 0.000 1.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.999 0.000 1.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.999 0.000 1.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.0000 0.999 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.997 1.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.997 1.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.997 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0000 0.999 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.997 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.999 0.000 1.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 2 0.0000 0.999 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.997 1.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.997 1.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0000 0.999 0.000 1.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.997 1.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.997 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.999 0.000 1.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.0000 0.999 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 2 0.0000 0.999 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.0000 0.997 1.000 0.000
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.997 1.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 2 0.0000 0.999 0.000 1.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.997 1.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.997 1.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.999 0.000 1.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 2 0.0000 0.999 0.000 1.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.997 1.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 2 0.0000 0.999 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.999 0.000 1.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 2 0.0000 0.999 0.000 1.000
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.0000 0.997 1.000 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.0000 0.997 1.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 2 0.0000 0.999 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.997 1.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.997 1.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.0000 0.997 1.000 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.0000 0.997 1.000 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 2 0.0000 0.999 0.000 1.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.997 1.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.999 0.000 1.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.997 1.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 2 0.0000 0.999 0.000 1.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.997 1.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.0000 0.999 0.000 1.000
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.997 1.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 1 0.0672 0.989 0.992 0.008
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 2 0.0000 0.999 0.000 1.000
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.0000 0.997 1.000 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 2 0.0000 0.999 0.000 1.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.997 1.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.999 0.000 1.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0000 0.997 1.000 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.997 1.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 2 0.0000 0.999 0.000 1.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0000 0.997 1.000 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 2 0.0000 0.999 0.000 1.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.999 0.000 1.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.997 1.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.0000 0.997 1.000 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0000 0.997 1.000 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.997 1.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 2 0.0000 0.999 0.000 1.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 2 0.0000 0.999 0.000 1.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.997 1.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.0000 0.999 0.000 1.000
#> E3671E10-825D-499B-B949-D5033855C744 1 0.0000 0.997 1.000 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.997 1.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.999 0.000 1.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 2 0.0000 0.999 0.000 1.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.0000 0.997 1.000 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.997 1.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.999 0.000 1.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.997 1.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 2 0.0000 0.999 0.000 1.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.997 1.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0000 0.999 0.000 1.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.0000 0.999 0.000 1.000
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.0000 0.999 0.000 1.000
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 2 0.0000 0.999 0.000 1.000
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0000 0.999 0.000 1.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.0000 0.997 1.000 0.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0000 0.999 0.000 1.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.0000 0.997 1.000 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.0000 0.997 1.000 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.0000 0.999 0.000 1.000
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.997 1.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.0000 0.999 0.000 1.000
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.0000 0.997 1.000 0.000
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.0000 0.999 0.000 1.000
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 2 0.0000 0.999 0.000 1.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.0000 0.997 1.000 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.0000 0.997 1.000 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.997 1.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 2 0.0000 0.999 0.000 1.000
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.0000 0.999 0.000 1.000
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 2 0.0000 0.999 0.000 1.000
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.997 1.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 2 0.0000 0.999 0.000 1.000
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.997 1.000 0.000
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#> 809839A7-A175-48AA-809E-5E4C99894CDE 1 0.0000 0.997 1.000 0.000
#> 6213FA46-BBBC-48EB-B7B9-D1D99FE55859 1 0.0000 0.997 1.000 0.000
#> 2F5CBE2E-A7EE-4DA0-A0CD-1347086E139B 1 0.0000 0.997 1.000 0.000
#> 56358A3C-9BE0-4E69-988C-C66538079C19 2 0.0000 0.999 0.000 1.000
#> 139EC04C-0DC9-456E-91C8-AEF139E9370B 1 0.0000 0.997 1.000 0.000
#> 62B120E7-E585-46C5-BED3-DBFB17C489A9 2 0.0000 0.999 0.000 1.000
#> 693691F1-202D-43D1-BD57-D5BCC657DB1D 1 0.0000 0.997 1.000 0.000
#> 47740C2A-1CB0-48DE-AC91-668D26C3EDE3 2 0.0000 0.999 0.000 1.000
#> 9680E812-7F99-42AF-B8B8-415B5243F594 2 0.0000 0.999 0.000 1.000
#> DA772E38-FD97-4E03-A660-634DC499551C 1 0.0000 0.997 1.000 0.000
#> A956F833-50D9-49E0-92BC-FA765E556536 2 0.0000 0.999 0.000 1.000
#> D7A37A60-2DE1-4C33-AE21-A300AAB90AF6 1 0.0000 0.997 1.000 0.000
#> ADE8E489-7FB1-4A3D-B0DB-6D2B3CFDEE35 1 0.0000 0.997 1.000 0.000
#> 50B7C59D-ECB0-44C1-B350-01CB48AE1C0A 1 0.0000 0.997 1.000 0.000
#> 29F60AF8-CE42-4025-8A48-CAD9EB011A0E 1 0.0000 0.997 1.000 0.000
#> D2265922-C650-4648-B888-C39D306AC21F 2 0.0000 0.999 0.000 1.000
#> 39E585E6-19F6-4767-BACF-1E7C73C1A1ED 1 0.0000 0.997 1.000 0.000
#> BA1B4D2D-549E-4D88-BA99-968D79B325B6 1 0.0000 0.997 1.000 0.000
#> 0497195D-372B-47A6-95D7-1CF3E5D0EBC3 2 0.0000 0.999 0.000 1.000
#> 979D8EDA-9FC5-44F1-9A4B-B4B4E0334E71 2 0.0000 0.999 0.000 1.000
#> 01EAF933-A083-47C2-A015-9C6CD8CEC520 1 0.0000 0.997 1.000 0.000
#> BCCAE932-7C2D-47CD-89C1-1A1886F9D2A5 1 0.0000 0.997 1.000 0.000
#> 6F7E9F0D-164E-4696-A353-18D379AA4EF7 1 0.0000 0.997 1.000 0.000
#> B7D1197D-B353-4839-A895-368613243FB7 1 0.0000 0.997 1.000 0.000
#> ACCEC75A-8EDF-4D83-97DE-BD30FACAC774 2 0.0000 0.999 0.000 1.000
#> 4087D782-4CB8-4A7F-AE4B-665BADA410B8 2 0.0000 0.999 0.000 1.000
#> 0C4131D9-0CE6-4476-80F1-3B69B777B658 2 0.0000 0.999 0.000 1.000
#> 54092E76-4C27-4A4B-8348-8748FCE728A6 1 0.0000 0.997 1.000 0.000
#> E0353276-F075-43F3-BB95-3AA315D40505 2 0.0000 0.999 0.000 1.000
#> 580F828B-2333-48F7-BA05-E9B6EF1AA3D5 1 0.0000 0.997 1.000 0.000
#> C051D793-4538-4D76-BFC2-0C08EAA57371 1 0.0000 0.997 1.000 0.000
#> 50893EF9-5D78-4731-B614-8E7F4AC5FA5F 1 0.0000 0.997 1.000 0.000
#> F235BBBB-4364-4BEE-88C8-9075208D1B96 2 0.0000 0.999 0.000 1.000
#> 73A25F6E-99C8-4C55-9E6C-8457BE8E44C0 2 0.0000 0.999 0.000 1.000
#> 4C7213E4-7845-49FC-924A-2BC7A7AEB519 2 0.0000 0.999 0.000 1.000
#> B8E40A95-9DF7-4EEE-B7D9-D17FA6B8AB2C 1 0.0000 0.997 1.000 0.000
#> 766E5BEF-D5FC-4C60-831C-88667F858375 2 0.0000 0.999 0.000 1.000
#> 31110A59-6DD4-4EDD-A056-C45DBC8966CC 1 0.0000 0.997 1.000 0.000
#> 0816836B-3F01-45BC-A843-00867E98FAD7 2 0.0000 0.999 0.000 1.000
#> 708F24EB-4551-4A3F-8E59-FA76ABE305D7 1 0.0000 0.997 1.000 0.000
#> 6EF22E72-6FCD-4645-8E8A-F6F117387082 1 0.0000 0.997 1.000 0.000
#> 680DFFFE-43F3-4A48-A662-FFE89FB43B04 1 0.0000 0.997 1.000 0.000
#> 4BB7CD09-ECE2-4774-B82C-949B6558C4D2 2 0.0000 0.999 0.000 1.000
#> 10E55344-362E-4982-B9EF-BE428086D27E 2 0.0000 0.999 0.000 1.000
#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 2 0.0000 0.999 0.000 1.000
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.0000 0.997 1.000 0.000
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 2 0.0000 0.999 0.000 1.000
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.0000 0.997 1.000 0.000
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.0000 0.999 0.000 1.000
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 2 0.0000 0.999 0.000 1.000
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.0000 0.997 1.000 0.000
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 2 0.0000 0.999 0.000 1.000
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 2 0.0000 0.999 0.000 1.000
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 2 0.0000 0.999 0.000 1.000
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.0000 0.999 0.000 1.000
#> 347C4168-42C5-494B-8080-2C244F6201FF 1 0.0000 0.997 1.000 0.000
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0000 0.999 0.000 1.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 2 0.0938 0.987 0.012 0.988
#> 59363737-247E-4524-B7CD-F43B2C861027 2 0.0000 0.999 0.000 1.000
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 2 0.0000 0.999 0.000 1.000
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0000 0.997 1.000 0.000
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 2 0.0000 0.999 0.000 1.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.0000 0.999 0.000 1.000
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 2 0.0000 0.999 0.000 1.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0000 0.999 0.000 1.000
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 2 0.0000 0.999 0.000 1.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.997 1.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.0000 0.997 1.000 0.000
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.997 1.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.997 1.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.999 0.000 1.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.997 1.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.997 1.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.997 1.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.997 1.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.997 1.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.997 1.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.999 0.000 1.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.999 0.000 1.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 2 0.0000 0.999 0.000 1.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.999 0.000 1.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 2 0.0000 0.999 0.000 1.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.997 1.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.999 0.000 1.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.997 1.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 2 0.0672 0.991 0.008 0.992
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.997 1.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.997 1.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0000 0.999 0.000 1.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.0000 0.999 0.000 1.000
#> B9009D40-10AC-48B3-9495-865BCE904CB1 2 0.0000 0.999 0.000 1.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.999 0.000 1.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.997 1.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.997 1.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.997 1.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.997 1.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.997 1.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 2 0.0000 0.999 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.997 1.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 2 0.0000 0.999 0.000 1.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.997 1.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.999 0.000 1.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.0000 0.997 1.000 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.0000 0.999 0.000 1.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 2 0.0000 0.999 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.999 0.000 1.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.999 0.000 1.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.999 0.000 1.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.997 1.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 2 0.0000 0.999 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.997 1.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.997 1.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.997 1.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.997 1.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.999 0.000 1.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.999 0.000 1.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.0000 0.999 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.7674 0.711 0.224 0.776
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.999 0.000 1.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.997 1.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.997 1.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.999 0.000 1.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.999 0.000 1.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.999 0.000 1.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.999 0.000 1.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.997 1.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.997 1.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.997 1.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.997 1.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.997 1.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.997 1.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.997 1.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.0000 0.999 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.999 0.000 1.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.999 0.000 1.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 2 0.0000 0.999 0.000 1.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.997 1.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.0000 0.999 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 2 0.0000 0.999 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.999 0.000 1.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.997 1.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.997 1.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.997 1.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.0000 0.999 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 2 0.0000 0.999 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 2 0.0000 0.999 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.0000 0.999 0.000 1.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.997 1.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.997 1.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.9710 0.335 0.600 0.400
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.999 0.000 1.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.997 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.997 1.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.0000 0.999 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.997 1.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.997 1.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.997 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.997 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.997 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.997 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.997 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.997 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.997 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.997 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.997 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.999 0.000 1.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.999 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.997 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.999 0.000 1.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.999 0.000 1.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.997 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.997 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.0000 0.999 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 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
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.6753 0.360 0.016 0.596 0.388
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.990 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.0000 0.996 0.000 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.990 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.990 1.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.986 0.000 1.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.986 0.000 1.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.986 0.000 1.000 0.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.986 0.000 1.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0000 0.986 0.000 1.000 0.000
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.996 0.000 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.990 1.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.990 1.000 0.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.996 0.000 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.986 0.000 1.000 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.986 0.000 1.000 0.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.990 1.000 0.000 0.000
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#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 3 0.0000 0.996 0.000 0.000 1.000
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.0000 0.986 0.000 1.000 0.000
#> 347C4168-42C5-494B-8080-2C244F6201FF 1 0.0000 0.990 1.000 0.000 0.000
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0000 0.986 0.000 1.000 0.000
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 3 0.6566 0.359 0.012 0.376 0.612
#> 59363737-247E-4524-B7CD-F43B2C861027 3 0.0000 0.996 0.000 0.000 1.000
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 3 0.0000 0.996 0.000 0.000 1.000
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0000 0.990 1.000 0.000 0.000
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 3 0.0000 0.996 0.000 0.000 1.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.0000 0.986 0.000 1.000 0.000
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 3 0.0000 0.996 0.000 0.000 1.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0000 0.986 0.000 1.000 0.000
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 3 0.0000 0.996 0.000 0.000 1.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.990 1.000 0.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.3879 0.817 0.848 0.152 0.000
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.0000 0.990 1.000 0.000 0.000
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.990 1.000 0.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0000 0.986 0.000 1.000 0.000
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 1 0.0000 0.990 1.000 0.000 0.000
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.990 1.000 0.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.990 1.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0000 0.990 1.000 0.000 0.000
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.990 1.000 0.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.990 1.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0000 0.986 0.000 1.000 0.000
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0000 0.986 0.000 1.000 0.000
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0000 0.996 0.000 0.000 1.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0000 0.986 0.000 1.000 0.000
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.0000 0.996 0.000 0.000 1.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.0000 0.990 1.000 0.000 0.000
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0000 0.986 0.000 1.000 0.000
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.990 1.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.0592 0.982 0.012 0.000 0.988
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.0000 0.990 1.000 0.000 0.000
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 1 0.0000 0.990 1.000 0.000 0.000
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0000 0.986 0.000 1.000 0.000
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.4575 0.802 0.012 0.828 0.160
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0000 0.996 0.000 0.000 1.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0000 0.986 0.000 1.000 0.000
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.990 1.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0000 0.990 1.000 0.000 0.000
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.990 1.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.990 1.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.990 1.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 3 0.0000 0.996 0.000 0.000 1.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.990 1.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.0000 0.996 0.000 0.000 1.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.990 1.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0000 0.986 0.000 1.000 0.000
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.1163 0.962 0.972 0.028 0.000
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.0000 0.986 0.000 1.000 0.000
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.996 0.000 0.000 1.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.986 0.000 1.000 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.986 0.000 1.000 0.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.986 0.000 1.000 0.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.990 1.000 0.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.996 0.000 0.000 1.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.990 1.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.990 1.000 0.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.990 1.000 0.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.990 1.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.986 0.000 1.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.986 0.000 1.000 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.0000 0.996 0.000 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.5955 0.724 0.180 0.772 0.048
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.986 0.000 1.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.990 1.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.990 1.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.986 0.000 1.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.986 0.000 1.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.986 0.000 1.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.986 0.000 1.000 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.990 1.000 0.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.990 1.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.990 1.000 0.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.990 1.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.990 1.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.990 1.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.990 1.000 0.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.996 0.000 0.000 1.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.986 0.000 1.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.986 0.000 1.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 2 0.3482 0.831 0.128 0.872 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.990 1.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.0000 0.996 0.000 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.996 0.000 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.986 0.000 1.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.990 1.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.990 1.000 0.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.990 1.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.0000 0.996 0.000 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.996 0.000 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.996 0.000 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.0000 0.986 0.000 1.000 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.990 1.000 0.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.990 1.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.6126 0.337 0.600 0.400 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.986 0.000 1.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.990 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.990 1.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.0000 0.996 0.000 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.990 1.000 0.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.990 1.000 0.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.990 1.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.990 1.000 0.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.990 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.990 1.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.990 1.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.990 1.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.990 1.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.990 1.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.990 1.000 0.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.986 0.000 1.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.0000 0.996 0.000 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.990 1.000 0.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.986 0.000 1.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0000 0.986 0.000 1.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.990 1.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.990 1.000 0.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.0000 0.996 0.000 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.996 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.7023 0.4616 0.000 0.564 0.272 0.164
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 4 0.0817 0.8641 0.024 0.000 0.000 0.976
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.3266 0.7518 0.832 0.000 0.000 0.168
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.0000 0.9577 0.000 1.000 0.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0469 0.9550 0.000 0.988 0.000 0.012
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0188 0.9572 0.000 0.996 0.000 0.004
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0592 0.9535 0.000 0.984 0.000 0.016
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0188 0.9572 0.000 0.996 0.000 0.004
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0188 0.9875 0.000 0.000 0.996 0.004
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0188 0.9374 0.996 0.000 0.000 0.004
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0336 0.9349 0.992 0.000 0.000 0.008
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.9577 0.000 1.000 0.000 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0188 0.9570 0.000 0.996 0.000 0.004
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0188 0.9373 0.996 0.000 0.000 0.004
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.0336 0.9865 0.000 0.000 0.992 0.008
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0188 0.9374 0.996 0.000 0.000 0.004
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.2814 0.8616 0.000 0.868 0.000 0.132
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.3377 0.8311 0.000 0.012 0.848 0.140
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.2647 0.8723 0.000 0.880 0.000 0.120
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 4 0.0817 0.8641 0.024 0.000 0.000 0.976
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.0188 0.9570 0.000 0.996 0.000 0.004
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 4 0.0817 0.8641 0.024 0.000 0.000 0.976
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0188 0.9374 0.996 0.000 0.000 0.004
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.0469 0.9848 0.000 0.000 0.988 0.012
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0336 0.9351 0.992 0.000 0.000 0.008
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9577 0.000 1.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 4 0.4679 0.5647 0.352 0.000 0.000 0.648
#> 29B732C6-0404-4B37-AD22-654A9348C95E 4 0.0817 0.8641 0.024 0.000 0.000 0.976
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.0188 0.9570 0.000 0.996 0.000 0.004
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9577 0.000 1.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.3356 0.7377 0.824 0.000 0.000 0.176
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.9395 1.000 0.000 0.000 0.000
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#> 347C4168-42C5-494B-8080-2C244F6201FF 4 0.0817 0.8641 0.024 0.000 0.000 0.976
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.0336 0.9560 0.000 0.992 0.000 0.008
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 3 0.6119 0.6033 0.000 0.152 0.680 0.168
#> 59363737-247E-4524-B7CD-F43B2C861027 3 0.0469 0.9848 0.000 0.000 0.988 0.012
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 3 0.0469 0.9848 0.000 0.000 0.988 0.012
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.0188 0.9570 0.000 0.996 0.000 0.004
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 3 0.0336 0.9865 0.000 0.000 0.992 0.008
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.0188 0.9570 0.000 0.996 0.000 0.004
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.3444 0.7261 0.816 0.000 0.000 0.184
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.1118 0.9136 0.964 0.000 0.000 0.036
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 4 0.4992 0.3144 0.476 0.000 0.000 0.524
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.0707 0.9277 0.980 0.000 0.000 0.020
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.0592 0.9535 0.000 0.984 0.000 0.016
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.0592 0.9535 0.000 0.984 0.000 0.016
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.2647 0.8270 0.880 0.000 0.000 0.120
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 3 0.3805 0.8142 0.008 0.012 0.832 0.148
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.4500 0.4863 0.684 0.000 0.000 0.316
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 4 0.3610 0.7962 0.200 0.000 0.000 0.800
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0188 0.9570 0.000 0.996 0.000 0.004
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.4595 0.7805 0.000 0.780 0.044 0.176
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.0188 0.9570 0.000 0.996 0.000 0.004
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.0188 0.9374 0.996 0.000 0.000 0.004
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 3 0.0336 0.9865 0.000 0.000 0.992 0.008
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> ACE0493F-E7CD-47FB-91E1-25393C512001 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> 930D8D62-7145-435E-8D7F-367EC56E1296 1 0.4088 0.6619 0.764 0.000 0.004 0.232
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.2888 0.8469 0.000 0.872 0.124 0.004
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0188 0.9570 0.000 0.996 0.000 0.004
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.4564 0.4753 0.672 0.000 0.000 0.328
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 4 0.3444 0.8042 0.184 0.000 0.000 0.816
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0592 0.9535 0.000 0.984 0.000 0.016
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.0336 0.9865 0.000 0.000 0.992 0.008
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 4 0.1584 0.8347 0.012 0.036 0.000 0.952
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.3123 0.7779 0.844 0.000 0.000 0.156
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 4 0.4356 0.7077 0.292 0.000 0.000 0.708
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 4 0.4817 0.5515 0.388 0.000 0.000 0.612
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0592 0.9535 0.000 0.984 0.000 0.016
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> 133E9177-2E28-46BE-8298-5217E1537E73 2 0.4905 0.5042 0.004 0.632 0.000 0.364
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 4 0.3837 0.7799 0.224 0.000 0.000 0.776
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.4193 0.5675 0.732 0.000 0.000 0.268
#> 906F768E-2E9D-4106-8062-BCE7AB174403 4 0.3873 0.7726 0.228 0.000 0.000 0.772
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.0336 0.9865 0.000 0.000 0.992 0.008
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.9884 0.000 0.000 1.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 4 0.0817 0.8641 0.024 0.000 0.000 0.976
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.7058 0.2888 0.572 0.228 0.000 0.200
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0592 0.9535 0.000 0.984 0.000 0.016
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 4 0.3610 0.7944 0.200 0.000 0.000 0.800
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.0336 0.9865 0.000 0.000 0.992 0.008
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 4 0.1118 0.8630 0.036 0.000 0.000 0.964
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 4 0.0817 0.8641 0.024 0.000 0.000 0.976
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.1118 0.9143 0.964 0.000 0.000 0.036
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9395 1.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 4 0.3764 0.7849 0.216 0.000 0.000 0.784
#> 79523685-8715-4B64-B53E-3A7506C06994 4 0.0817 0.8641 0.024 0.000 0.000 0.976
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0921 0.9201 0.972 0.000 0.000 0.028
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.0469 0.9848 0.000 0.000 0.988 0.012
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.1940 0.8763 0.924 0.000 0.000 0.076
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0336 0.9582 0.000 0.992 0.000 0.008
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.0188 0.9580 0.000 0.996 0.000 0.004
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 4 0.4830 0.5432 0.392 0.000 0.000 0.608
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 4 0.3726 0.7853 0.212 0.000 0.000 0.788
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.0336 0.9865 0.000 0.000 0.992 0.008
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.9884 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 2 0.6774 0.33465 0.000 0.544 0.028 0.200 0.228
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 5 0.3039 0.89364 0.152 0.000 0.012 0.000 0.836
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.4249 -0.73769 0.000 0.000 0.432 0.568 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.3039 0.77117 0.836 0.000 0.012 0.000 0.152
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.1478 0.79885 0.000 0.936 0.000 0.000 0.064
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.2735 0.77107 0.000 0.880 0.084 0.000 0.036
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.3421 0.79180 0.000 0.840 0.080 0.000 0.080
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.4087 0.71745 0.000 0.756 0.208 0.000 0.036
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.0510 0.79632 0.000 0.984 0.000 0.000 0.016
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 4 0.2471 0.45746 0.000 0.000 0.136 0.864 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0162 0.89011 0.996 0.000 0.000 0.000 0.004
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0880 0.87958 0.968 0.000 0.000 0.000 0.032
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.4294 0.99727 0.000 0.000 0.532 0.468 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0566 0.79737 0.000 0.984 0.012 0.000 0.004
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0794 0.79201 0.000 0.972 0.000 0.000 0.028
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.2249 0.82774 0.896 0.000 0.008 0.000 0.096
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0162 0.70444 0.000 0.000 0.004 0.996 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.4294 0.99727 0.000 0.000 0.532 0.468 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0404 0.88870 0.988 0.000 0.000 0.000 0.012
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.2248 0.83484 0.900 0.000 0.012 0.000 0.088
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.2248 0.83407 0.900 0.000 0.012 0.000 0.088
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.1106 0.79375 0.000 0.964 0.012 0.000 0.024
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 4 0.7920 0.13016 0.000 0.244 0.100 0.428 0.228
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.1965 0.78249 0.000 0.924 0.024 0.000 0.052
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 5 0.2516 0.89397 0.140 0.000 0.000 0.000 0.860
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.4294 0.99727 0.000 0.000 0.532 0.468 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.2074 0.78218 0.000 0.920 0.044 0.000 0.036
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.5211 0.75399 0.000 0.668 0.232 0.000 0.100
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.4294 0.99727 0.000 0.000 0.532 0.468 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.2516 0.89397 0.140 0.000 0.000 0.000 0.860
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.2424 0.79095 0.868 0.000 0.000 0.000 0.132
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0290 0.70322 0.000 0.000 0.008 0.992 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0290 0.88836 0.992 0.000 0.000 0.000 0.008
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#> 6F7E9F0D-164E-4696-A353-18D379AA4EF7 5 0.2690 0.89429 0.156 0.000 0.000 0.000 0.844
#> B7D1197D-B353-4839-A895-368613243FB7 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> ACCEC75A-8EDF-4D83-97DE-BD30FACAC774 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> 4087D782-4CB8-4A7F-AE4B-665BADA410B8 2 0.5525 0.74308 0.000 0.612 0.288 0.000 0.100
#> 0C4131D9-0CE6-4476-80F1-3B69B777B658 4 0.0290 0.69520 0.000 0.000 0.008 0.992 0.000
#> 54092E76-4C27-4A4B-8348-8748FCE728A6 1 0.3163 0.73481 0.824 0.000 0.012 0.000 0.164
#> E0353276-F075-43F3-BB95-3AA315D40505 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> 580F828B-2333-48F7-BA05-E9B6EF1AA3D5 1 0.0404 0.88870 0.988 0.000 0.000 0.000 0.012
#> C051D793-4538-4D76-BFC2-0C08EAA57371 1 0.3916 0.61106 0.732 0.000 0.012 0.000 0.256
#> 50893EF9-5D78-4731-B614-8E7F4AC5FA5F 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> F235BBBB-4364-4BEE-88C8-9075208D1B96 4 0.8037 0.14774 0.004 0.284 0.084 0.396 0.232
#> 73A25F6E-99C8-4C55-9E6C-8457BE8E44C0 2 0.5244 0.60321 0.000 0.724 0.052 0.172 0.052
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#> 31110A59-6DD4-4EDD-A056-C45DBC8966CC 1 0.0404 0.88902 0.988 0.000 0.012 0.000 0.000
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#> 708F24EB-4551-4A3F-8E59-FA76ABE305D7 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 6EF22E72-6FCD-4645-8E8A-F6F117387082 1 0.0451 0.88970 0.988 0.000 0.008 0.000 0.004
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#> 4BB7CD09-ECE2-4774-B82C-949B6558C4D2 2 0.4151 0.72864 0.000 0.820 0.052 0.068 0.060
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#> 3B2B0D97-5713-41AD-89EE-D5CB4FBEA787 2 0.1571 0.79886 0.000 0.936 0.004 0.000 0.060
#> 05FE386B-0F67-44F5-9F3B-26E0FB3ECC69 1 0.0290 0.89012 0.992 0.000 0.008 0.000 0.000
#> 4ADC710C-0954-42A6-8D6A-0FD9794F788F 2 0.1893 0.78355 0.000 0.928 0.024 0.000 0.048
#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.2130 0.84103 0.908 0.000 0.012 0.000 0.080
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.4087 0.72547 0.000 0.756 0.208 0.000 0.036
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 4 0.0000 0.70463 0.000 0.000 0.000 1.000 0.000
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 5 0.3992 0.79987 0.268 0.000 0.012 0.000 0.720
#> 6C6558C6-DAAE-4663-B7C7-A441B1453BDE 3 0.4294 0.99727 0.000 0.000 0.532 0.468 0.000
#> 6FA6C587-6FE7-4421-8C38-67F61563083E 4 0.0000 0.70463 0.000 0.000 0.000 1.000 0.000
#> A2F8A257-BCE5-48CB-A41E-9246C15B584E 3 0.4294 0.99727 0.000 0.000 0.532 0.468 0.000
#> 8EB58CDA-A523-45D0-B871-E648074D87EF 2 0.0912 0.79832 0.000 0.972 0.016 0.000 0.012
#> 347C4168-42C5-494B-8080-2C244F6201FF 5 0.2516 0.89397 0.140 0.000 0.000 0.000 0.860
#> 99E49022-CD39-493A-84FB-DD60F1A4F9CE 2 0.4210 0.72218 0.000 0.740 0.224 0.000 0.036
#> 373BA514-D274-4BA8-B01B-B7CAB0AA502C 2 0.7324 0.21947 0.008 0.488 0.032 0.216 0.256
#> 59363737-247E-4524-B7CD-F43B2C861027 4 0.0290 0.70322 0.000 0.000 0.008 0.992 0.000
#> A4FF8ED4-3562-481B-AF9C-17208EBC5390 3 0.4297 0.99041 0.000 0.000 0.528 0.472 0.000
#> A3E6EDD3-F887-43D9-8BF8-89D6A775AB66 1 0.2248 0.83615 0.900 0.000 0.012 0.000 0.088
#> DCD81FE1-115E-4C5A-9525-1EB71E2E07E5 4 0.0290 0.70322 0.000 0.000 0.008 0.992 0.000
#> 87639609-160D-4CE7-BCAA-1FC03439B8D4 2 0.1195 0.79000 0.000 0.960 0.012 0.000 0.028
#> 9C26B3B5-DD05-4AB9-91A6-C3DBA37E42D9 4 0.0000 0.70463 0.000 0.000 0.000 1.000 0.000
#> 46C084FA-9585-4D58-A2F0-AD6B21F5603B 2 0.1124 0.79200 0.000 0.960 0.004 0.000 0.036
#> 9889D0AB-A85F-4549-BD27-E622B0E870DB 4 0.3177 0.22630 0.000 0.000 0.208 0.792 0.000
#> 9BFC50C2-211F-4D0F-8ACE-85184383B777 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 3CAD86F5-C320-492B-A32E-92E4B1B7F01E 1 0.5549 -0.29168 0.476 0.048 0.008 0.000 0.468
#> 1E2026BA-6D51-493E-8521-237352CDE5C9 1 0.3967 0.59540 0.724 0.000 0.012 0.000 0.264
#> A9848D7E-7B71-4C72-9EE3-E3CA474E8CB6 1 0.1195 0.87802 0.960 0.000 0.012 0.000 0.028
#> 07C85161-9FA0-405E-807A-654BB89C1EF9 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> DD2C1231-2724-4F32-8307-9C8C03E3448B 5 0.4446 0.54338 0.400 0.000 0.008 0.000 0.592
#> B2220ACA-6B79-46A1-9868-502A4737A5B1 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 927BDC9B-BB34-4434-BFEE-A1E9AEB26FA0 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 6EA44F51-473D-425B-9B36-388599ABAA92 1 0.3242 0.74680 0.816 0.000 0.012 0.000 0.172
#> 0EF980A9-700C-4B13-B3B7-9480B9EE4670 1 0.2006 0.84746 0.916 0.000 0.012 0.000 0.072
#> 7C7068D3-43CD-44F2-91A9-B3E52B436756 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> B4B762D1-965A-41FE-881D-BEC7445E797B 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> F6279E41-23ED-470D-B698-8CC8AA9C55DC 2 0.4548 0.69553 0.000 0.716 0.232 0.000 0.052
#> 01828596-79CA-4CF0-B178-9D4E134FC80B 3 0.4294 0.99727 0.000 0.000 0.532 0.468 0.000
#> 6579B816-BC3F-49B7-A2C8-D330CE36148D 2 0.4119 0.71882 0.000 0.752 0.212 0.000 0.036
#> 36B38256-6879-49C3-94CC-5022F02D1561 3 0.4294 0.99727 0.000 0.000 0.532 0.468 0.000
#> 7123BF57-2EAA-4509-B5EF-A72C58A32A09 1 0.3992 0.58515 0.720 0.000 0.012 0.000 0.268
#> DCFB028E-49D9-4521-96CD-DD004992B15B 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> EB3DBE80-00E4-4305-ADB1-707AE3232498 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 3D7B9D77-931D-448A-B724-C8CA268B309D 4 0.8267 0.14836 0.016 0.268 0.080 0.396 0.240
#> 6E452EB1-7976-4940-AF2A-7094CBEA30CB 1 0.4527 0.08467 0.596 0.000 0.012 0.000 0.392
#> DD695FFC-E04E-41D7-AADC-955A16AD7F50 5 0.3462 0.87285 0.196 0.000 0.012 0.000 0.792
#> BCC92C08-F035-474D-9D53-0336D89366AB 2 0.0693 0.79552 0.000 0.980 0.008 0.000 0.012
#> ABA45E0B-764A-4BCF-8D86-126A44203E53 2 0.6620 0.50847 0.000 0.600 0.088 0.084 0.228
#> B9009D40-10AC-48B3-9495-865BCE904CB1 3 0.4294 0.99727 0.000 0.000 0.532 0.468 0.000
#> 673A3486-DC31-4AA2-92F8-91F4569A6FE5 2 0.2793 0.77518 0.000 0.876 0.088 0.000 0.036
#> 88EEC782-14C4-4E07-99D9-5EE243400725 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 452792E7-BF1C-4396-99A5-BE03BED55754 1 0.3890 0.61395 0.736 0.000 0.012 0.000 0.252
#> BCEC247E-8308-4C8B-86C5-534CC3992ED5 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 87B19BC9-9785-4DAD-A624-AD017E2CBD10 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 0F5EFFA6-0508-4702-AEA8-DE13CDCDE840 1 0.0912 0.88319 0.972 0.000 0.012 0.000 0.016
#> 49376FFC-BC39-4069-87F2-03D9F5039E75 4 0.0000 0.70463 0.000 0.000 0.000 1.000 0.000
#> FC0C5E8A-FCCA-49F7-B59D-57E2F4CE106B 1 0.3596 0.68454 0.776 0.000 0.012 0.000 0.212
#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.4273 -0.78596 0.000 0.000 0.448 0.552 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 1 0.0404 0.88870 0.988 0.000 0.000 0.000 0.012
#> 38584420-4E14-4568-80F7-156D229CEA1B 2 0.5629 0.73052 0.000 0.588 0.312 0.000 0.100
#> 930D8D62-7145-435E-8D7F-367EC56E1296 5 0.5838 0.39820 0.428 0.032 0.028 0.004 0.508
#> 3389C364-A82A-4B4E-9F8A-9F6B35A5D083 2 0.1865 0.78608 0.000 0.936 0.024 0.008 0.032
#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 3 0.4294 0.99727 0.000 0.000 0.532 0.468 0.000
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.5613 0.73265 0.000 0.592 0.308 0.000 0.100
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.5596 0.73382 0.000 0.596 0.304 0.000 0.100
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.1750 0.78609 0.000 0.936 0.028 0.000 0.036
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.4655 -0.20946 0.512 0.000 0.012 0.000 0.476
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.4294 0.99727 0.000 0.000 0.532 0.468 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 5 0.3163 0.89008 0.164 0.000 0.012 0.000 0.824
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.4325 0.70741 0.000 0.736 0.220 0.000 0.044
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0162 0.70444 0.000 0.000 0.004 0.996 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 5 0.4317 0.76605 0.064 0.084 0.036 0.004 0.812
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0404 0.88902 0.988 0.000 0.012 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.1597 0.86338 0.940 0.000 0.012 0.000 0.048
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.5288 0.75928 0.000 0.656 0.244 0.000 0.100
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.4371 0.39120 0.644 0.000 0.012 0.000 0.344
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 5 0.3231 0.87736 0.196 0.000 0.004 0.000 0.800
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.4196 0.65092 0.356 0.000 0.004 0.000 0.640
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.4294 0.99727 0.000 0.000 0.532 0.468 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.4270 0.71672 0.000 0.748 0.204 0.000 0.048
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> 133E9177-2E28-46BE-8298-5217E1537E73 2 0.4810 0.51864 0.020 0.692 0.024 0.000 0.264
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.4219 -0.68678 0.000 0.000 0.416 0.584 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.4294 0.99727 0.000 0.000 0.532 0.468 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 5 0.3242 0.86413 0.216 0.000 0.000 0.000 0.784
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.4341 0.33771 0.628 0.000 0.008 0.000 0.364
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.2929 0.88745 0.180 0.000 0.000 0.000 0.820
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0000 0.70463 0.000 0.000 0.000 1.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.4294 0.99727 0.000 0.000 0.532 0.468 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.4294 0.99727 0.000 0.000 0.532 0.468 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.2616 0.79843 0.000 0.888 0.036 0.000 0.076
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.2516 0.89397 0.140 0.000 0.000 0.000 0.860
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 5 0.7144 0.27468 0.232 0.340 0.020 0.000 0.408
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.4087 0.71745 0.000 0.756 0.208 0.000 0.036
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.3750 0.83243 0.232 0.000 0.012 0.000 0.756
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0000 0.70463 0.000 0.000 0.000 1.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 5 0.2690 0.89365 0.156 0.000 0.000 0.000 0.844
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.2516 0.89397 0.140 0.000 0.000 0.000 0.860
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.3391 0.71869 0.800 0.000 0.012 0.000 0.188
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.2304 0.82411 0.892 0.000 0.008 0.000 0.100
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0162 0.89108 0.996 0.000 0.004 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.89178 1.000 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.3242 0.88745 0.172 0.000 0.012 0.000 0.816
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.2909 0.89341 0.140 0.000 0.012 0.000 0.848
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.3890 0.61905 0.736 0.000 0.012 0.000 0.252
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.0510 0.69350 0.000 0.000 0.016 0.984 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.3427 0.71620 0.796 0.000 0.012 0.000 0.192
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.5102 0.75698 0.000 0.684 0.216 0.000 0.100
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.2179 0.79656 0.000 0.896 0.004 0.000 0.100
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.4232 0.74546 0.312 0.000 0.012 0.000 0.676
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.2773 0.89216 0.164 0.000 0.000 0.000 0.836
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0162 0.70444 0.000 0.000 0.004 0.996 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.4297 0.99041 0.000 0.000 0.528 0.472 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 6 0.5830 0.499085 0.012 0.176 0.008 0.000 0.220 0.584
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 5 0.0458 0.884196 0.016 0.000 0.000 0.000 0.984 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.1926 0.912109 0.000 0.000 0.912 0.068 0.000 0.020
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.1204 0.898458 0.944 0.000 0.000 0.000 0.056 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 2 0.3288 0.445133 0.000 0.724 0.000 0.000 0.000 0.276
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 6 0.2562 0.655923 0.000 0.172 0.000 0.000 0.000 0.828
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.3076 0.499773 0.000 0.760 0.000 0.000 0.000 0.240
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 6 0.1610 0.672912 0.000 0.084 0.000 0.000 0.000 0.916
#> 6F178361-2A14-4245-8A35-13A0174231E4 2 0.3774 0.191037 0.000 0.592 0.000 0.000 0.000 0.408
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 4 0.2118 0.881582 0.000 0.000 0.104 0.888 0.000 0.008
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0935 0.911226 0.964 0.000 0.000 0.004 0.032 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.960238 0.000 0.000 1.000 0.000 0.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.3828 0.095994 0.000 0.560 0.000 0.000 0.000 0.440
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.3833 0.082724 0.000 0.556 0.000 0.000 0.000 0.444
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0865 0.910073 0.964 0.000 0.000 0.000 0.036 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0291 0.992190 0.000 0.000 0.004 0.992 0.000 0.004
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.960238 0.000 0.000 1.000 0.000 0.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0291 0.923604 0.992 0.000 0.000 0.004 0.004 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.1411 0.895106 0.936 0.000 0.000 0.004 0.060 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.1082 0.907128 0.956 0.000 0.000 0.004 0.040 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 2 0.3782 0.180165 0.000 0.588 0.000 0.000 0.000 0.412
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 6 0.6141 0.495873 0.000 0.056 0.152 0.000 0.220 0.572
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 2 0.3860 -0.015709 0.000 0.528 0.000 0.000 0.000 0.472
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 5 0.0000 0.882537 0.000 0.000 0.000 0.000 1.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.960238 0.000 0.000 1.000 0.000 0.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 6 0.3866 0.148804 0.000 0.484 0.000 0.000 0.000 0.516
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.960238 0.000 0.000 1.000 0.000 0.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 5 0.0000 0.882537 0.000 0.000 0.000 0.000 1.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.2558 0.804127 0.840 0.000 0.000 0.004 0.156 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.0291 0.992190 0.000 0.000 0.004 0.992 0.000 0.004
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0146 0.924537 0.996 0.000 0.000 0.000 0.004 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 6 0.2178 0.665664 0.000 0.132 0.000 0.000 0.000 0.868
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.960238 0.000 0.000 1.000 0.000 0.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 5 0.0632 0.885362 0.024 0.000 0.000 0.000 0.976 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 5 0.0000 0.882537 0.000 0.000 0.000 0.000 1.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 6 0.3860 0.182045 0.000 0.472 0.000 0.000 0.000 0.528
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 6 0.3717 0.396941 0.000 0.384 0.000 0.000 0.000 0.616
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.960238 0.000 0.000 1.000 0.000 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.960238 0.000 0.000 1.000 0.000 0.000 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.1908 0.863810 0.900 0.000 0.000 0.000 0.096 0.004
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 6 0.4601 0.544637 0.000 0.112 0.200 0.000 0.000 0.688
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 5 0.2823 0.714076 0.204 0.000 0.000 0.000 0.796 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 5 0.0363 0.885382 0.012 0.000 0.000 0.000 0.988 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 6 0.1663 0.674235 0.000 0.088 0.000 0.000 0.000 0.912
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.0291 0.992190 0.000 0.000 0.004 0.992 0.000 0.004
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.960238 0.000 0.000 1.000 0.000 0.000 0.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 6 0.4335 0.186253 0.000 0.472 0.000 0.000 0.020 0.508
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 6 0.5584 0.445435 0.000 0.316 0.000 0.000 0.164 0.520
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.3999 0.057363 0.500 0.000 0.000 0.004 0.496 0.000
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 5 0.0000 0.882537 0.000 0.000 0.000 0.000 1.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0146 0.992423 0.000 0.000 0.004 0.996 0.000 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 5 0.0632 0.885362 0.024 0.000 0.000 0.000 0.976 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.3881 0.392443 0.600 0.000 0.000 0.004 0.396 0.000
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 5 0.0405 0.884717 0.008 0.000 0.000 0.004 0.988 0.000
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0146 0.992423 0.000 0.000 0.004 0.996 0.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 5 0.0000 0.882537 0.000 0.000 0.000 0.000 1.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.1501 0.927100 0.000 0.000 0.924 0.000 0.000 0.076
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 5 0.0000 0.882537 0.000 0.000 0.000 0.000 1.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.3789 0.168963 0.000 0.584 0.000 0.000 0.000 0.416
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 5 0.1267 0.838434 0.000 0.000 0.000 0.000 0.940 0.060
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 6 0.4337 0.158415 0.000 0.480 0.000 0.000 0.020 0.500
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 5 0.0000 0.882537 0.000 0.000 0.000 0.000 1.000 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.960238 0.000 0.000 1.000 0.000 0.000 0.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.0291 0.923604 0.992 0.000 0.000 0.004 0.004 0.000
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.960238 0.000 0.000 1.000 0.000 0.000 0.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.0291 0.923604 0.992 0.000 0.000 0.004 0.004 0.000
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 4 0.0146 0.992423 0.000 0.000 0.004 0.996 0.000 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.3857 -0.000581 0.000 0.532 0.000 0.000 0.000 0.468
#> 8AA6D751-D111-42EE-B874-D82769F4A888 5 0.0713 0.883784 0.028 0.000 0.000 0.000 0.972 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.3782 0.353185 0.588 0.000 0.000 0.000 0.412 0.000
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.0603 0.919102 0.980 0.000 0.000 0.004 0.016 0.000
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.1700 0.881048 0.916 0.000 0.000 0.004 0.080 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 4 0.0291 0.992190 0.000 0.000 0.004 0.992 0.000 0.004
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 4 0.0405 0.989948 0.000 0.000 0.004 0.988 0.000 0.008
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.3774 0.191037 0.000 0.592 0.000 0.000 0.000 0.408
#> E3671E10-825D-499B-B949-D5033855C744 1 0.3240 0.701013 0.752 0.000 0.000 0.004 0.244 0.000
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.2234 0.844651 0.872 0.000 0.000 0.004 0.124 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 6 0.3330 0.563323 0.000 0.284 0.000 0.000 0.000 0.716
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0260 0.957984 0.000 0.000 0.992 0.000 0.000 0.008
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.3215 0.706202 0.756 0.000 0.000 0.004 0.240 0.000
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 5 0.0000 0.882537 0.000 0.000 0.000 0.000 1.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0937 0.699878 0.000 0.960 0.000 0.000 0.000 0.040
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 5 0.0777 0.884646 0.024 0.000 0.000 0.004 0.972 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.1714 0.896898 0.000 0.000 0.908 0.092 0.000 0.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 2 0.3857 -0.000581 0.000 0.532 0.000 0.000 0.000 0.468
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 2 0.3868 -0.089999 0.000 0.508 0.000 0.000 0.000 0.492
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 6 0.5428 0.448458 0.000 0.168 0.264 0.000 0.000 0.568
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.2219 0.622237 0.000 0.864 0.000 0.000 0.000 0.136
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 5 0.0000 0.882537 0.000 0.000 0.000 0.000 1.000 0.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 1 0.2100 0.850226 0.884 0.000 0.000 0.004 0.112 0.000
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 1 0.3240 0.700764 0.752 0.000 0.000 0.004 0.244 0.000
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.3547 0.353081 0.000 0.668 0.000 0.000 0.000 0.332
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 6 0.4019 0.580800 0.000 0.056 0.008 0.000 0.180 0.756
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 5 0.0632 0.885362 0.024 0.000 0.000 0.000 0.976 0.000
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 6 0.3672 0.447549 0.000 0.368 0.000 0.000 0.000 0.632
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.0146 0.958880 0.000 0.000 0.996 0.000 0.000 0.004
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 5 0.1714 0.834196 0.092 0.000 0.000 0.000 0.908 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 1 0.3584 0.595079 0.688 0.000 0.000 0.004 0.308 0.000
#> ECAAE00B-A1CF-45A9-88EC-2725B297F756 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> A14E6E17-50C7-4F07-9C26-C826526D5A31 6 0.5530 0.460584 0.000 0.068 0.312 0.000 0.040 0.580
#> E4BE3002-D06A-4E89-AF8E-C4F4106D17EF 2 0.1267 0.666252 0.000 0.940 0.000 0.000 0.000 0.060
#> 33E76585-9F57-423A-9BA2-7A90CDFAFEF2 3 0.0632 0.952141 0.000 0.000 0.976 0.000 0.000 0.024
#> 1C09E759-F218-4BF3-BCA3-1A4B261AC59F 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 79286576-A06B-4970-8A04-F2CCFAEAD233 6 0.2003 0.672432 0.000 0.116 0.000 0.000 0.000 0.884
#> 9FD36100-03D6-4F7D-9F0C-0AA1A03022CF 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 504B2DAC-0D6A-4AFB-8666-517349960A8B 3 0.0000 0.960238 0.000 0.000 1.000 0.000 0.000 0.000
#> 1C49ABD9-06E6-4B6B-B3EA-29E969CAE268 4 0.0790 0.967899 0.000 0.000 0.032 0.968 0.000 0.000
#> 45795A09-54FD-4805-82BB-20DBD7425579 6 0.3659 0.455891 0.000 0.364 0.000 0.000 0.000 0.636
#> 7F0C6A5A-F4E0-4374-A4CD-EB9D526CB779 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> A201A48E-DBDC-4FBD-AB98-B586C0BA263B 1 0.3109 0.730020 0.772 0.000 0.000 0.004 0.224 0.000
#> 79DB6576-58CC-4872-BD97-E023F3E50FAD 3 0.0000 0.960238 0.000 0.000 1.000 0.000 0.000 0.000
#> F7CF16EB-C432-4A1D-9A3A-D50FBDCC531D 5 0.0000 0.882537 0.000 0.000 0.000 0.000 1.000 0.000
#> D3A22E58-32E9-45DE-8CFB-43F239990879 2 0.0146 0.718756 0.000 0.996 0.000 0.000 0.000 0.004
#> 4C15BE7F-B855-4670-9E38-0A626527D981 3 0.0000 0.960238 0.000 0.000 1.000 0.000 0.000 0.000
#> 6744BD5D-6593-4C4F-BB8E-95A12B3BD108 2 0.0865 0.702664 0.000 0.964 0.000 0.000 0.000 0.036
#> 8B10E24F-9626-4D19-B48B-78BC540FCF54 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> D27A1725-8228-47F5-BBE0-5CC7B1E2622F 2 0.3860 -0.015709 0.000 0.528 0.000 0.000 0.000 0.472
#> 0CE75D6A-B796-4982-9405-1602F9468945 1 0.0146 0.924398 0.996 0.000 0.000 0.004 0.000 0.000
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#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 6 0.3309 0.570522 0.000 0.280 0.000 0.000 0.000 0.720
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 5 0.1556 0.846135 0.080 0.000 0.000 0.000 0.920 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.0000 0.960238 0.000 0.000 1.000 0.000 0.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 5 0.0632 0.884527 0.024 0.000 0.000 0.000 0.976 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 6 0.1556 0.671616 0.000 0.080 0.000 0.000 0.000 0.920
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0146 0.992423 0.000 0.000 0.004 0.996 0.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 5 0.2793 0.657407 0.000 0.000 0.000 0.000 0.800 0.200
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0547 0.917987 0.980 0.000 0.000 0.000 0.020 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.1007 0.699366 0.000 0.956 0.000 0.000 0.000 0.044
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.3923 0.336727 0.580 0.000 0.000 0.004 0.416 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 5 0.0937 0.876422 0.040 0.000 0.000 0.000 0.960 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.3930 0.232710 0.420 0.000 0.000 0.004 0.576 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.960238 0.000 0.000 1.000 0.000 0.000 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 6 0.1610 0.673246 0.000 0.084 0.000 0.000 0.000 0.916
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 6 0.6149 0.478659 0.016 0.256 0.000 0.000 0.232 0.496
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.2790 0.834148 0.000 0.000 0.840 0.140 0.000 0.020
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.960238 0.000 0.000 1.000 0.000 0.000 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 5 0.0777 0.884646 0.024 0.000 0.000 0.004 0.972 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.3619 0.580721 0.680 0.000 0.000 0.004 0.316 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 5 0.0632 0.885362 0.024 0.000 0.000 0.000 0.976 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0146 0.992423 0.000 0.000 0.004 0.996 0.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.960238 0.000 0.000 1.000 0.000 0.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.1501 0.927100 0.000 0.000 0.924 0.000 0.000 0.076
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 2 0.3634 0.299561 0.000 0.644 0.000 0.000 0.000 0.356
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 5 0.0000 0.882537 0.000 0.000 0.000 0.000 1.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 5 0.6609 -0.219096 0.072 0.128 0.000 0.000 0.424 0.376
#> BE787416-396B-48B4-A5D2-8E2EE082D001 6 0.1863 0.674506 0.000 0.104 0.000 0.000 0.000 0.896
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 5 0.1556 0.844435 0.080 0.000 0.000 0.000 0.920 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0146 0.992423 0.000 0.000 0.004 0.996 0.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 5 0.0777 0.884646 0.024 0.000 0.000 0.004 0.972 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 5 0.0000 0.882537 0.000 0.000 0.000 0.000 1.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.2994 0.748689 0.788 0.000 0.000 0.004 0.208 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0547 0.917889 0.980 0.000 0.000 0.000 0.020 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.925650 1.000 0.000 0.000 0.000 0.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 5 0.0632 0.885362 0.024 0.000 0.000 0.000 0.976 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 5 0.0000 0.882537 0.000 0.000 0.000 0.000 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.3314 0.683893 0.740 0.000 0.000 0.004 0.256 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.1387 0.945812 0.000 0.000 0.000 0.932 0.000 0.068
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.3189 0.712091 0.760 0.000 0.000 0.004 0.236 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.721479 0.000 1.000 0.000 0.000 0.000 0.000
#> ACCFCE18-1113-4203-845F-4608539005FE 2 0.3221 0.463651 0.000 0.736 0.000 0.000 0.000 0.264
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 5 0.3620 0.473350 0.352 0.000 0.000 0.000 0.648 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 5 0.0632 0.885362 0.024 0.000 0.000 0.000 0.976 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0146 0.992423 0.000 0.000 0.004 0.996 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.1501 0.927100 0.000 0.000 0.924 0.000 0.000 0.076
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17583 rows and 500 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'NMF' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 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 0.930 0.927 0.970 0.4651 0.527 0.527
#> 3 3 0.651 0.814 0.910 0.3542 0.742 0.554
#> 4 4 0.794 0.841 0.925 0.1341 0.834 0.597
#> 5 5 0.656 0.669 0.776 0.0687 0.965 0.883
#> 6 6 0.646 0.588 0.739 0.0503 0.876 0.602
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
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.0000 0.9843 1.000 0.000
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9843 1.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 2 0.0000 0.9418 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9843 1.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.0000 0.9843 1.000 0.000
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 1 0.0000 0.9843 1.000 0.000
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.9418 0.000 1.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.0000 0.9418 0.000 1.000
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.9418 0.000 1.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 1 0.2236 0.9472 0.964 0.036
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 2 0.0000 0.9418 0.000 1.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9843 1.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.0000 0.9843 1.000 0.000
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 1 0.0000 0.9843 1.000 0.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0000 0.9418 0.000 1.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.0000 0.9418 0.000 1.000
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9843 1.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 2 0.0000 0.9418 0.000 1.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 2 0.9896 0.2950 0.440 0.560
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.0000 0.9843 1.000 0.000
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.0000 0.9843 1.000 0.000
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.0000 0.9843 1.000 0.000
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 1 0.0000 0.9843 1.000 0.000
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.0000 0.9843 1.000 0.000
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 1 0.0000 0.9843 1.000 0.000
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0000 0.9843 1.000 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 2 0.6343 0.7995 0.160 0.840
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.9418 0.000 1.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 2 0.9850 0.3297 0.428 0.572
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 2 0.9661 0.4219 0.392 0.608
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.0000 0.9843 1.000 0.000
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.9418 0.000 1.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.9418 0.000 1.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0000 0.9418 0.000 1.000
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 2 0.8909 0.5912 0.308 0.692
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0000 0.9843 1.000 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.0000 0.9843 1.000 0.000
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.0000 0.9843 1.000 0.000
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 2 0.0000 0.9418 0.000 1.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.9843 1.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9418 0.000 1.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 1 0.7674 0.6866 0.776 0.224
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.9843 1.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0000 0.9843 1.000 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 2 0.9608 0.4406 0.384 0.616
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.0000 0.9843 1.000 0.000
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0000 0.9843 1.000 0.000
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9418 0.000 1.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 2 0.9661 0.4222 0.392 0.608
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#> 9203CEF5-63C5-466D-9D4A-C1EDE4514B55 2 0.9732 0.3931 0.404 0.596
#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0000 0.9418 0.000 1.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.0000 0.9418 0.000 1.000
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.0000 0.9418 0.000 1.000
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.0000 0.9843 1.000 0.000
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 1 0.0000 0.9843 1.000 0.000
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.0000 0.9843 1.000 0.000
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 1 0.0000 0.9843 1.000 0.000
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0000 0.9843 1.000 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.0000 0.9843 1.000 0.000
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0000 0.9418 0.000 1.000
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0000 0.9418 0.000 1.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 2 0.0000 0.9418 0.000 1.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.0000 0.9418 0.000 1.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.0000 0.9418 0.000 1.000
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.0000 0.9843 1.000 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0000 0.9843 1.000 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.0000 0.9418 0.000 1.000
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 1 0.8443 0.5963 0.728 0.272
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 2 0.9427 0.4925 0.360 0.640
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.9418 0.000 1.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.0000 0.9843 1.000 0.000
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.0000 0.9843 1.000 0.000
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0000 0.9843 1.000 0.000
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.0000 0.9843 1.000 0.000
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.0000 0.9843 1.000 0.000
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.0000 0.9843 1.000 0.000
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.0000 0.9843 1.000 0.000
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 2 0.7219 0.7519 0.200 0.800
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.9418 0.000 1.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 2 0.0000 0.9418 0.000 1.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.0000 0.9843 1.000 0.000
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.0000 0.9843 1.000 0.000
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 2 0.0000 0.9418 0.000 1.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 1 0.0000 0.9843 1.000 0.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0000 0.9418 0.000 1.000
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.9843 1.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.0000 0.9843 1.000 0.000
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.9843 1.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 2 0.4562 0.8658 0.096 0.904
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 1 0.0000 0.9843 1.000 0.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 1 0.0000 0.9843 1.000 0.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 1 0.0000 0.9843 1.000 0.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.9843 1.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.9843 1.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.0000 0.9843 1.000 0.000
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.9418 0.000 1.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9843 1.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.9843 1.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 2 0.0000 0.9418 0.000 1.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0000 0.9843 1.000 0.000
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0000 0.9843 1.000 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.0000 0.9843 1.000 0.000
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0000 0.9843 1.000 0.000
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9843 1.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.0000 0.9843 1.000 0.000
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.0000 0.9843 1.000 0.000
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0000 0.9843 1.000 0.000
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.9843 1.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.9843 1.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.0000 0.9843 1.000 0.000
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 2 0.0000 0.9418 0.000 1.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.0000 0.9418 0.000 1.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.0000 0.9843 1.000 0.000
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.0000 0.9418 0.000 1.000
#> ACCFCE18-1113-4203-845F-4608539005FE 1 0.0000 0.9843 1.000 0.000
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.9843 1.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.9843 1.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 2 0.0000 0.9418 0.000 1.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 2 0.4161 0.8768 0.084 0.916
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 1 0.5397 0.7239 0.720 0.000 0.280
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.9055 1.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.0000 0.8937 0.000 0.000 1.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.9055 1.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.4399 0.8353 0.812 0.000 0.188
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 3 0.5397 0.5183 0.280 0.000 0.720
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.8666 0.000 1.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.4452 0.7044 0.000 0.808 0.192
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.8666 0.000 1.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 1 0.9587 0.2333 0.440 0.204 0.356
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.4654 0.6979 0.000 0.208 0.792
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0000 0.9055 1.000 0.000 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 1 0.4605 0.8201 0.796 0.000 0.204
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.0000 0.8937 0.000 0.000 1.000
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.3752 0.7532 0.000 0.856 0.144
#> 19342512-D282-4C35-B9A9-3A1180D594F4 3 0.6307 -0.0680 0.000 0.488 0.512
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.9055 1.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.4702 0.6938 0.000 0.212 0.788
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0000 0.8937 0.000 0.000 1.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 1 0.4654 0.8162 0.792 0.000 0.208
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.3619 0.8695 0.864 0.000 0.136
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.2165 0.8944 0.936 0.000 0.064
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 1 0.5859 0.6137 0.656 0.000 0.344
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 1 0.6126 0.4958 0.600 0.000 0.400
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 1 0.5247 0.7933 0.768 0.008 0.224
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.6180 0.1267 0.584 0.416 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.8937 0.000 0.000 1.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0000 0.8666 0.000 1.000 0.000
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 3 0.0000 0.8937 0.000 0.000 1.000
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 3 0.0237 0.8913 0.000 0.004 0.996
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.4002 0.8562 0.840 0.000 0.160
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0000 0.8666 0.000 1.000 0.000
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0000 0.8666 0.000 1.000 0.000
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.1411 0.8454 0.000 0.964 0.036
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.8937 0.000 0.000 1.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 2 0.6252 0.3470 0.444 0.556 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.3192 0.8793 0.888 0.000 0.112
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 1 0.4654 0.8161 0.792 0.000 0.208
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.6180 0.3480 0.000 0.416 0.584
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.9055 1.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.8666 0.000 1.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.8937 0.000 0.000 1.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0000 0.9055 1.000 0.000 0.000
#> 29B732C6-0404-4B37-AD22-654A9348C95E 2 0.5138 0.6909 0.252 0.748 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 3 0.0000 0.8937 0.000 0.000 1.000
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.3551 0.8721 0.868 0.000 0.132
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.0592 0.9048 0.988 0.000 0.012
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.8666 0.000 1.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0000 0.8937 0.000 0.000 1.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.8937 0.000 0.000 1.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 1 0.4346 0.8390 0.816 0.000 0.184
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 1 0.4399 0.8353 0.812 0.000 0.188
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 3 0.4002 0.7602 0.000 0.160 0.840
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0000 0.9055 1.000 0.000 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.9055 1.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0000 0.8666 0.000 1.000 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 3 0.5529 0.5801 0.000 0.296 0.704
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.9055 1.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0000 0.8937 0.000 0.000 1.000
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.8666 0.000 1.000 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 1 0.6008 0.5658 0.628 0.000 0.372
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 1 0.4178 0.8478 0.828 0.000 0.172
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 2 0.4605 0.7306 0.204 0.796 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.0000 0.8937 0.000 0.000 1.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0000 0.9055 1.000 0.000 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.9055 1.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 1 0.4654 0.8161 0.792 0.000 0.208
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.3619 0.8701 0.864 0.000 0.136
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 3 0.0237 0.8913 0.000 0.004 0.996
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0000 0.9055 1.000 0.000 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 3 0.0000 0.8937 0.000 0.000 1.000
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.3340 0.8767 0.880 0.000 0.120
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.0000 0.8937 0.000 0.000 1.000
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.9055 1.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.4399 0.7085 0.000 0.812 0.188
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.9055 1.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.0000 0.8666 0.000 1.000 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 1 0.4750 0.8074 0.784 0.000 0.216
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 2 0.5465 0.6560 0.288 0.712 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0000 0.8937 0.000 0.000 1.000
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 1 0.4121 0.8513 0.832 0.000 0.168
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.1753 0.8374 0.000 0.952 0.048
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.4235 0.8451 0.824 0.000 0.176
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0000 0.9055 1.000 0.000 0.000
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0000 0.8937 0.000 0.000 1.000
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.3686 0.8676 0.860 0.000 0.140
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 3 0.0000 0.8937 0.000 0.000 1.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0000 0.8666 0.000 1.000 0.000
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.9055 1.000 0.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.1529 0.9007 0.960 0.000 0.040
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.4346 0.8386 0.816 0.000 0.184
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0000 0.9055 1.000 0.000 0.000
#> 981A0365-A95F-464D-9DE8-556A09121E8F 3 0.4796 0.6846 0.000 0.220 0.780
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 3 0.4842 0.6798 0.000 0.224 0.776
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.4178 0.8480 0.828 0.000 0.172
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.4555 0.6953 0.000 0.800 0.200
#> E3671E10-825D-499B-B949-D5033855C744 1 0.4654 0.8161 0.792 0.000 0.208
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.0000 0.9055 1.000 0.000 0.000
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.8666 0.000 1.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.0000 0.8937 0.000 0.000 1.000
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.4178 0.8478 0.828 0.000 0.172
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 2 0.5465 0.6561 0.288 0.712 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.8666 0.000 1.000 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.0000 0.9055 1.000 0.000 0.000
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0000 0.8937 0.000 0.000 1.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0000 0.9055 1.000 0.000 0.000
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0000 0.8666 0.000 1.000 0.000
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#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 3 0.0000 0.8937 0.000 0.000 1.000
#> 133E9177-2E28-46BE-8298-5217E1537E73 1 0.4654 0.8161 0.792 0.000 0.208
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.1289 0.9019 0.968 0.000 0.032
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.3619 0.7825 0.000 0.136 0.864
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0000 0.8937 0.000 0.000 1.000
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.3482 0.7692 0.000 0.872 0.128
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0000 0.9055 1.000 0.000 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.3816 0.8633 0.852 0.000 0.148
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0000 0.9055 1.000 0.000 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.0000 0.8937 0.000 0.000 1.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0000 0.8937 0.000 0.000 1.000
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0000 0.8937 0.000 0.000 1.000
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 3 0.0000 0.8937 0.000 0.000 1.000
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0000 0.9055 1.000 0.000 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.9055 1.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 1 0.3941 0.8592 0.844 0.000 0.156
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.8666 0.000 1.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.9055 1.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.9055 1.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.0592 0.8865 0.000 0.012 0.988
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.0237 0.9054 0.996 0.000 0.004
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.2066 0.8605 0.940 0.060 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.2537 0.8898 0.920 0.000 0.080
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.0424 0.9051 0.992 0.000 0.008
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.9055 1.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.1529 0.9006 0.960 0.000 0.040
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.1643 0.8996 0.956 0.000 0.044
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.0237 0.9053 0.996 0.000 0.004
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0000 0.9055 1.000 0.000 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.9055 1.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 1 0.4399 0.8352 0.812 0.000 0.188
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 3 0.0000 0.8937 0.000 0.000 1.000
#> 581B589A-0489-4A89-8E4B-86719EB9C756 2 0.5497 0.4956 0.000 0.708 0.292
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.4605 0.8201 0.796 0.000 0.204
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.6291 0.2010 0.000 0.532 0.468
#> ACCFCE18-1113-4203-845F-4608539005FE 3 0.5216 0.5618 0.260 0.000 0.740
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.9055 1.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0000 0.9055 1.000 0.000 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.4702 0.6938 0.000 0.212 0.788
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.1163 0.8772 0.000 0.028 0.972
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 4 0.1722 0.8678 0.048 0.000 0.008 0.944
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.0336 0.9594 0.000 0.000 0.992 0.008
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.5268 0.3061 0.540 0.000 0.008 0.452
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 4 0.0188 0.8945 0.000 0.000 0.004 0.996
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.0000 0.9328 0.000 1.000 0.000 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.2704 0.8470 0.000 0.876 0.000 0.124
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0000 0.9328 0.000 1.000 0.000 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 4 0.0188 0.8945 0.000 0.000 0.004 0.996
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.0000 0.9630 0.000 0.000 1.000 0.000
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.0188 0.8937 0.996 0.000 0.000 0.004
#> A033D709-F383-4E08-A1E4-4F6FD8549975 4 0.0524 0.8929 0.004 0.000 0.008 0.988
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.4164 0.6500 0.000 0.000 0.736 0.264
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.2149 0.8779 0.000 0.912 0.000 0.088
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.3945 0.7276 0.000 0.780 0.004 0.216
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.0336 0.9597 0.000 0.008 0.992 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.0188 0.9617 0.000 0.000 0.996 0.004
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 4 0.0524 0.8929 0.004 0.000 0.008 0.988
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.3873 0.7491 0.772 0.000 0.000 0.228
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.3123 0.8178 0.844 0.000 0.000 0.156
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 4 0.0188 0.8945 0.000 0.000 0.004 0.996
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 4 0.0469 0.8917 0.000 0.000 0.012 0.988
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 4 0.0188 0.8945 0.000 0.000 0.004 0.996
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.0188 0.8932 0.996 0.000 0.000 0.004
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.0000 0.9630 0.000 0.000 1.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.0469 0.9307 0.000 0.988 0.000 0.012
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 4 0.0188 0.8945 0.000 0.000 0.004 0.996
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 4 0.0188 0.8945 0.000 0.000 0.004 0.996
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.4776 0.5152 0.624 0.000 0.000 0.376
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.0188 0.9325 0.000 0.996 0.000 0.004
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.0469 0.9307 0.000 0.988 0.000 0.012
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0469 0.9307 0.000 0.988 0.000 0.012
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0000 0.9630 0.000 0.000 1.000 0.000
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.0188 0.8932 0.996 0.000 0.000 0.004
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.3024 0.8219 0.852 0.000 0.000 0.148
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 4 0.0927 0.8877 0.016 0.000 0.008 0.976
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.2011 0.9061 0.000 0.080 0.920 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.9328 0.000 1.000 0.000 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.0000 0.9630 0.000 0.000 1.000 0.000
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.0592 0.8924 0.984 0.000 0.000 0.016
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.0188 0.8932 0.996 0.000 0.000 0.004
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 4 0.0188 0.8945 0.000 0.000 0.004 0.996
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.5105 0.3705 0.564 0.000 0.004 0.432
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.1118 0.8856 0.964 0.000 0.000 0.036
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0000 0.9328 0.000 1.000 0.000 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.0188 0.9617 0.000 0.000 0.996 0.004
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.0000 0.9630 0.000 0.000 1.000 0.000
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 4 0.2542 0.8390 0.084 0.000 0.012 0.904
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 4 0.2859 0.8145 0.112 0.000 0.008 0.880
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 3 0.4967 0.1729 0.000 0.452 0.548 0.000
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.0188 0.8932 0.996 0.000 0.000 0.004
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0188 0.9325 0.000 0.996 0.000 0.004
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 3 0.1022 0.9463 0.000 0.032 0.968 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.0921 0.9433 0.000 0.000 0.972 0.028
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.0000 0.9328 0.000 1.000 0.000 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 4 0.0188 0.8945 0.000 0.000 0.004 0.996
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 4 0.4992 -0.0978 0.476 0.000 0.000 0.524
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 2 0.3726 0.7306 0.212 0.788 0.000 0.000
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.0000 0.9630 0.000 0.000 1.000 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.0469 0.8932 0.988 0.000 0.000 0.012
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 4 0.0188 0.8945 0.000 0.000 0.004 0.996
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.3444 0.7948 0.816 0.000 0.000 0.184
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 3 0.0000 0.9630 0.000 0.000 1.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.0188 0.8932 0.996 0.000 0.000 0.004
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 4 0.2888 0.8010 0.000 0.124 0.004 0.872
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.3942 0.7368 0.764 0.000 0.000 0.236
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 4 0.0817 0.8851 0.000 0.000 0.024 0.976
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.2814 0.8385 0.000 0.868 0.000 0.132
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.0188 0.9312 0.004 0.996 0.000 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 4 0.0188 0.8945 0.000 0.000 0.004 0.996
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.0188 0.8932 0.996 0.000 0.000 0.004
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.0188 0.9617 0.000 0.000 0.996 0.004
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 4 0.4905 0.3330 0.364 0.000 0.004 0.632
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0707 0.9274 0.000 0.980 0.000 0.020
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.4978 0.4923 0.612 0.000 0.004 0.384
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.0188 0.8937 0.996 0.000 0.000 0.004
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.0188 0.9617 0.000 0.000 0.996 0.004
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.3610 0.7762 0.800 0.000 0.000 0.200
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 3 0.0000 0.9630 0.000 0.000 1.000 0.000
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.0336 0.9318 0.000 0.992 0.000 0.008
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.3024 0.8245 0.852 0.000 0.000 0.148
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 1 0.5151 0.2778 0.532 0.000 0.004 0.464
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0469 0.8931 0.988 0.000 0.000 0.012
#> 981A0365-A95F-464D-9DE8-556A09121E8F 3 0.0469 0.9583 0.000 0.012 0.988 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 3 0.0336 0.9597 0.000 0.008 0.992 0.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.4431 0.6455 0.696 0.000 0.000 0.304
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.3610 0.7538 0.000 0.800 0.000 0.200
#> E3671E10-825D-499B-B949-D5033855C744 4 0.2197 0.8428 0.080 0.000 0.004 0.916
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.1022 0.8881 0.968 0.000 0.000 0.032
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.9328 0.000 1.000 0.000 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.3123 0.7998 0.000 0.000 0.844 0.156
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.4522 0.6249 0.680 0.000 0.000 0.320
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.9328 0.000 1.000 0.000 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.2216 0.8615 0.908 0.000 0.000 0.092
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.0000 0.9630 0.000 0.000 1.000 0.000
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.0817 0.8896 0.976 0.000 0.000 0.024
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.0469 0.9307 0.000 0.988 0.000 0.012
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 4 0.0524 0.8918 0.000 0.008 0.004 0.988
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 4 0.4920 0.3962 0.000 0.368 0.004 0.628
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 4 0.0188 0.8945 0.000 0.000 0.004 0.996
#> 821934D3-025D-40E6-8C46-5627A45AC163 2 0.0000 0.9328 0.000 1.000 0.000 0.000
#> 28BD4613-5CAB-4456-926B-6099BDF2A76D 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> 51FA08C7-B690-4E26-B4EC-BE387DEE4DF0 2 0.0707 0.9274 0.000 0.980 0.000 0.020
#> 9ED5C75B-AE41-4DA1-96BB-557F99EDC7A4 4 0.0336 0.8934 0.000 0.000 0.008 0.992
#> CE075FE9-1386-4CC3-A23A-F5BA531742FE 4 0.0895 0.8858 0.020 0.000 0.004 0.976
#> FDAA6127-37B7-4CAC-96AD-AC91A8547B1C 2 0.2081 0.8821 0.000 0.916 0.000 0.084
#> 6048AB67-E4E1-4E23-BD8D-5EB5B6120FA4 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> 31238115-F5AB-4FF9-8FF4-8E1104FCDDF8 2 0.0707 0.9216 0.000 0.980 0.020 0.000
#> 0DDAE6FE-ED2E-4B99-8055-F6BBD5074F63 1 0.0188 0.8932 0.996 0.000 0.000 0.004
#> BE9AD5DF-4C47-4C4C-A29C-0040102BDA5E 2 0.0000 0.9328 0.000 1.000 0.000 0.000
#> 0AEFA646-7054-45EF-951C-784BB9E16A13 3 0.0000 0.9630 0.000 0.000 1.000 0.000
#> 824E151B-FDE0-4985-9799-FD3850B7A1D2 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> D7FDAFE5-0371-4073-8E6B-5FF6D318B394 4 0.4072 0.5981 0.252 0.000 0.000 0.748
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#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.0188 0.8932 0.996 0.000 0.000 0.004
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.4356 0.6626 0.708 0.000 0.000 0.292
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.2530 0.8473 0.888 0.000 0.000 0.112
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.5193 0.4181 0.580 0.000 0.008 0.412
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.3486 0.7913 0.812 0.000 0.000 0.188
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.0000 0.9630 0.000 0.000 1.000 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.0000 0.9328 0.000 1.000 0.000 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 4 0.0657 0.8900 0.000 0.012 0.004 0.984
#> 133E9177-2E28-46BE-8298-5217E1537E73 4 0.4898 0.7397 0.104 0.116 0.000 0.780
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.2408 0.8527 0.896 0.000 0.000 0.104
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.0469 0.9589 0.000 0.012 0.988 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.1637 0.9127 0.000 0.000 0.940 0.060
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.0469 0.9307 0.000 0.988 0.000 0.012
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.0336 0.8935 0.992 0.000 0.000 0.008
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.4072 0.7215 0.748 0.000 0.000 0.252
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0188 0.8932 0.996 0.000 0.000 0.004
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.0000 0.9630 0.000 0.000 1.000 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.0188 0.9617 0.000 0.000 0.996 0.004
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 4 0.2469 0.8127 0.000 0.000 0.108 0.892
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 4 0.0188 0.8945 0.000 0.000 0.004 0.996
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.0188 0.8932 0.996 0.000 0.000 0.004
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 4 0.1576 0.8683 0.048 0.000 0.004 0.948
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0000 0.9328 0.000 1.000 0.000 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.0000 0.9630 0.000 0.000 1.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.3024 0.8242 0.852 0.000 0.000 0.148
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.0188 0.8932 0.996 0.000 0.000 0.004
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.4193 0.6963 0.732 0.000 0.000 0.268
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.2973 0.8273 0.856 0.000 0.000 0.144
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.3266 0.8081 0.832 0.000 0.000 0.168
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.2408 0.8525 0.896 0.000 0.000 0.104
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.1022 0.8871 0.968 0.000 0.000 0.032
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.0188 0.8932 0.996 0.000 0.000 0.004
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 4 0.4605 0.4022 0.336 0.000 0.000 0.664
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 4 0.2401 0.8319 0.000 0.092 0.004 0.904
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.3528 0.7825 0.000 0.192 0.808 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 1 0.4998 0.2217 0.512 0.000 0.000 0.488
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.3710 0.7599 0.000 0.804 0.004 0.192
#> ACCFCE18-1113-4203-845F-4608539005FE 4 0.0188 0.8945 0.000 0.000 0.004 0.996
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0000 0.8936 1.000 0.000 0.000 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.0188 0.8932 0.996 0.000 0.000 0.004
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.0188 0.9611 0.000 0.004 0.996 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.0000 0.9630 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 5 0.5726 0.2702 0.012 0.000 0.420 NA 0.512
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.1704 0.7946 0.928 0.000 0.000 NA 0.004
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 3 0.4341 0.7253 0.000 0.000 0.628 NA 0.008
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0880 0.8026 0.968 0.000 0.000 NA 0.000
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 5 0.6117 -0.0232 0.444 0.000 0.072 NA 0.464
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 5 0.2302 0.6905 0.000 0.008 0.008 NA 0.904
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.1341 0.8766 0.000 0.944 0.000 NA 0.000
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.3317 0.8153 0.008 0.848 0.000 NA 0.112
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.0771 0.8878 0.000 0.976 0.004 NA 0.000
#> 6F178361-2A14-4245-8A35-13A0174231E4 5 0.3170 0.6837 0.004 0.024 0.000 NA 0.848
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.2237 0.7105 0.000 0.008 0.904 NA 0.004
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.2020 0.7974 0.900 0.000 0.000 NA 0.000
#> A033D709-F383-4E08-A1E4-4F6FD8549975 5 0.3459 0.6980 0.080 0.000 0.004 NA 0.844
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.5016 0.2134 0.000 0.000 0.608 NA 0.348
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.1202 0.8856 0.000 0.960 0.004 NA 0.032
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.4425 0.3666 0.000 0.600 0.000 NA 0.392
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.0671 0.8048 0.980 0.000 0.000 NA 0.004
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 3 0.4582 0.7159 0.000 0.012 0.572 NA 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.1943 0.6755 0.000 0.000 0.924 NA 0.056
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 5 0.4019 0.6948 0.052 0.000 0.028 NA 0.820
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 1 0.5693 0.5599 0.620 0.000 0.000 NA 0.236
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.3575 0.7220 0.800 0.000 0.004 NA 0.180
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 5 0.2957 0.6972 0.012 0.008 0.000 NA 0.860
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 5 0.4674 0.4414 0.004 0.000 0.316 NA 0.656
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 5 0.2166 0.7056 0.004 0.012 0.000 NA 0.912
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.2074 0.7871 0.896 0.000 0.000 NA 0.000
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.2824 0.7222 0.000 0.000 0.864 NA 0.020
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.1808 0.8817 0.000 0.936 0.008 NA 0.012
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 5 0.3774 0.6806 0.000 0.012 0.008 NA 0.780
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 5 0.3120 0.6777 0.000 0.016 0.012 NA 0.856
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 1 0.4736 0.3495 0.576 0.000 0.000 NA 0.404
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.1597 0.8817 0.000 0.940 0.000 NA 0.012
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.2460 0.8649 0.000 0.900 0.004 NA 0.024
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0771 0.8886 0.000 0.976 0.004 NA 0.020
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.0898 0.7059 0.000 0.000 0.972 NA 0.008
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.3656 0.7196 0.800 0.032 0.000 NA 0.000
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 1 0.5757 0.6164 0.628 0.000 0.004 NA 0.140
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 5 0.4598 0.6775 0.060 0.000 0.016 NA 0.760
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 3 0.5432 0.6961 0.000 0.064 0.544 NA 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.1502 0.7964 0.940 0.000 0.000 NA 0.004
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0000 0.8902 0.000 1.000 0.000 NA 0.000
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.1626 0.6851 0.000 0.000 0.940 NA 0.016
#> 1DF936AB-8850-45F5-827A-2DC578388F24 1 0.3884 0.7035 0.708 0.000 0.000 NA 0.004
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.2719 0.7885 0.884 0.068 0.000 NA 0.000
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 5 0.4145 0.6898 0.000 0.028 0.012 NA 0.772
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.6008 0.2669 0.524 0.000 0.068 NA 0.388
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.2758 0.8002 0.896 0.000 0.024 NA 0.032
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.0794 0.8871 0.000 0.972 0.000 NA 0.000
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.1668 0.7035 0.000 0.000 0.940 NA 0.028
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.1741 0.6742 0.000 0.000 0.936 NA 0.040
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 5 0.6050 0.4105 0.064 0.000 0.316 NA 0.584
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 5 0.6530 0.5484 0.116 0.000 0.224 NA 0.604
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 3 0.6020 0.2461 0.000 0.320 0.584 NA 0.040
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.3109 0.7588 0.800 0.000 0.000 NA 0.000
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.1121 0.8007 0.956 0.000 0.000 NA 0.000
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.0290 0.8904 0.000 0.992 0.000 NA 0.000
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 3 0.4833 0.7132 0.000 0.024 0.564 NA 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0703 0.8025 0.976 0.000 0.000 NA 0.000
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.4630 0.5984 0.000 0.000 0.736 NA 0.176
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.2179 0.8604 0.000 0.888 0.000 NA 0.000
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 5 0.1798 0.7068 0.004 0.004 0.000 NA 0.928
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 5 0.4820 0.4078 0.332 0.000 0.000 NA 0.632
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 2 0.5652 0.4432 0.328 0.592 0.004 NA 0.004
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 3 0.4367 0.7182 0.000 0.000 0.580 NA 0.004
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.2329 0.7964 0.876 0.000 0.000 NA 0.000
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.0404 0.8030 0.988 0.000 0.000 NA 0.000
#> 2B8B7470-7514-45CB-95D0-ED960426089C 5 0.4832 0.6520 0.060 0.000 0.008 NA 0.716
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 1 0.6385 0.4413 0.504 0.000 0.000 NA 0.200
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 3 0.4367 0.7182 0.000 0.000 0.580 NA 0.004
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.4803 0.6882 0.720 0.000 0.096 NA 0.000
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 5 0.3320 0.6433 0.000 0.164 0.004 NA 0.820
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.4738 0.6890 0.740 0.000 0.032 NA 0.196
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 5 0.4419 0.4336 0.000 0.000 0.312 NA 0.668
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.3527 0.7556 0.820 0.000 0.028 NA 0.004
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.3266 0.8181 0.008 0.852 0.000 NA 0.108
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.2270 0.8042 0.904 0.000 0.020 NA 0.000
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.0727 0.8896 0.004 0.980 0.004 NA 0.000
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 5 0.3096 0.7045 0.024 0.008 0.000 NA 0.860
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.3301 0.7814 0.848 0.072 0.000 NA 0.000
#> 56F52C2B-FABA-4E25-890C-937DAF59B258 3 0.3075 0.7135 0.000 0.000 0.860 NA 0.048
#> AE16A3E7-F95E-4526-9137-B640BCA5F014 5 0.5402 0.4830 0.276 0.000 0.048 NA 0.652
#> BD3559EC-93EC-4DBC-8631-35EFC27A5C08 2 0.0865 0.8875 0.000 0.972 0.004 NA 0.024
#> B365F0BA-CC62-4EBD-A34B-700D29AA0C6E 1 0.5446 0.4221 0.576 0.000 0.004 NA 0.360
#> DA7D4478-7ED9-48A4-A782-EE3965D3220B 1 0.1205 0.8022 0.956 0.000 0.000 NA 0.004
#> 96AC4AA2-372B-41B4-8120-2C9131BAE566 3 0.3825 0.7147 0.000 0.000 0.804 NA 0.060
#> 0C3A443B-EC0E-4D26-B2D0-3BC943D87EDA 1 0.5202 0.6789 0.700 0.000 0.004 NA 0.148
#> E1CEE7CA-0605-426D-96E8-91834A7C6F9E 3 0.4481 0.7168 0.000 0.000 0.576 NA 0.008
#> 7C89986D-D5C4-404B-A105-2DB171A256C8 2 0.1502 0.8795 0.000 0.940 0.000 NA 0.004
#> 8AA6D751-D111-42EE-B874-D82769F4A888 1 0.0794 0.8004 0.972 0.000 0.000 NA 0.000
#> 7E4FC2C1-CF09-452F-A746-F3D0DAC21E72 1 0.7992 0.0281 0.352 0.000 0.344 NA 0.096
#> 0E82594A-2EE9-43E7-89CD-1A554E411923 5 0.6440 0.3198 0.284 0.000 0.004 NA 0.520
#> C28340EE-A53D-4282-8278-CD21CFC6F23E 1 0.0898 0.8044 0.972 0.000 0.000 NA 0.008
#> 981A0365-A95F-464D-9DE8-556A09121E8F 3 0.4582 0.7173 0.000 0.012 0.572 NA 0.000
#> 1FAF5E47-5EEC-4641-A3AD-F9BE8C16565A 3 0.4582 0.7173 0.000 0.012 0.572 NA 0.000
#> 04A222FE-F76B-4D41-B7EF-1D9014BE724A 1 0.4834 0.6322 0.692 0.000 0.004 NA 0.252
#> AA8714CF-5EC7-4A40-8540-B069116F56DA 2 0.4713 0.5785 0.000 0.680 0.008 NA 0.284
#> E3671E10-825D-499B-B949-D5033855C744 5 0.4741 0.6572 0.068 0.000 0.004 NA 0.724
#> 0BA82DF5-9E2D-4A2E-A024-8B42F846B239 1 0.3449 0.7680 0.812 0.000 0.000 NA 0.024
#> BB6F5839-E00C-4D59-99F0-2A62B9EB365B 2 0.0000 0.8902 0.000 1.000 0.000 NA 0.000
#> 330549B1-0C4B-46A4-B635-20129D33E2AA 3 0.4758 0.3561 0.000 0.000 0.676 NA 0.276
#> 09559A55-E807-4510-8D03-6A7209B2A2D8 1 0.6730 0.4231 0.524 0.000 0.024 NA 0.288
#> 86F04FD0-6D76-41C7-BEE6-2798C75B44C9 1 0.3937 0.7425 0.804 0.060 0.000 NA 0.004
#> E3359877-6173-421D-8C26-61B2C5E380A7 2 0.0000 0.8902 0.000 1.000 0.000 NA 0.000
#> 2488F91C-BF75-4B4D-BAC3-38F3FFA991FA 1 0.3420 0.7884 0.836 0.004 0.000 NA 0.036
#> 2B66C600-F662-485F-802A-DC4EB60C75FB 3 0.2233 0.7241 0.000 0.000 0.892 NA 0.004
#> 2B213FCE-35A8-4F07-86D9-9843BE15FB79 1 0.1891 0.8035 0.936 0.000 0.016 NA 0.016
#> 434BD66F-7532-46C3-93F4-998337A29D8F 2 0.2642 0.8602 0.000 0.888 0.004 NA 0.024
#> EFAEC630-E56F-4DE9-BCFB-5573A819E6E4 5 0.4037 0.6821 0.028 0.008 0.000 NA 0.776
#> CFE46425-8F14-44D4-9CB5-443029BCAC66 5 0.7620 0.2851 0.028 0.296 0.008 NA 0.376
#> 80E4C1BE-AEA3-420B-B5D4-87C344625A16 5 0.0798 0.6959 0.000 0.000 0.008 NA 0.976
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#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.0290 0.8907 0.000 0.992 0.000 NA 0.000
#> 1E117145-7AED-44ED-B4B4-38D9C9A2D26B 2 0.2332 0.8671 0.000 0.904 0.004 NA 0.016
#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.1124 0.8856 0.000 0.960 0.000 NA 0.004
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 1 0.6602 0.3208 0.488 0.000 0.008 NA 0.324
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.3262 0.6048 0.000 0.000 0.840 NA 0.124
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.4293 0.7492 0.772 0.000 0.004 NA 0.064
#> 16B8D6B9-A187-45FE-9816-5C6B51CC07B8 5 0.5544 0.5817 0.172 0.000 0.112 NA 0.692
#> 3308EF22-FA01-488C-B06E-C95BAE8EE37B 1 0.0963 0.8020 0.964 0.000 0.000 NA 0.000
#> A7A100AE-96B1-4F63-B4C1-DCA8C4EB63BC 1 0.2430 0.7986 0.912 0.000 0.028 NA 0.020
#> 466E6F15-CD81-4DBA-A87F-58F0EF99ACA9 2 0.0609 0.8896 0.000 0.980 0.000 NA 0.020
#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.0880 0.8856 0.000 0.968 0.000 NA 0.000
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 3 0.4582 0.7159 0.000 0.012 0.572 NA 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.4964 0.7332 0.040 0.744 0.052 NA 0.000
#> 9860FE99-6582-4D51-8CAF-92738855F425 2 0.3815 0.8079 0.000 0.804 0.008 NA 0.032
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.1444 0.8012 0.948 0.000 0.012 NA 0.000
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0609 0.8026 0.980 0.000 0.000 NA 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.5089 0.2399 0.000 0.536 0.004 NA 0.432
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 5 0.1924 0.6949 0.000 0.008 0.004 NA 0.924
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 5 0.2228 0.6921 0.000 0.008 0.012 NA 0.912
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0000 0.8902 0.000 1.000 0.000 NA 0.000
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 1 0.8315 0.1042 0.340 0.000 0.164 NA 0.184
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.2342 0.8010 0.916 0.000 0.024 NA 0.020
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.3231 0.7210 0.800 0.000 0.000 NA 0.004
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.3751 0.6944 0.772 0.000 0.004 NA 0.212
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.1443 0.8023 0.948 0.000 0.004 NA 0.044
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.6282 0.1555 0.488 0.000 0.064 NA 0.412
#> C041F9A7-625B-4249-B042-E938061FC103 1 0.6200 0.4969 0.548 0.000 0.000 NA 0.196
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.4134 0.7230 0.000 0.000 0.760 NA 0.044
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.1478 0.8737 0.000 0.936 0.000 NA 0.000
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 5 0.2522 0.6908 0.000 0.076 0.004 NA 0.896
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.5817 0.6149 0.092 0.016 0.000 NA 0.620
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.2921 0.7929 0.884 0.000 0.020 NA 0.068
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 3 0.4689 0.7224 0.000 0.008 0.592 NA 0.008
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.4563 0.4186 0.000 0.000 0.708 NA 0.244
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.3160 0.8385 0.000 0.852 0.004 NA 0.028
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.3730 0.7054 0.712 0.000 0.000 NA 0.000
#> A45F3A18-FE01-4651-8421-BEC9219D9201 1 0.6296 0.4226 0.528 0.000 0.000 NA 0.272
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.0609 0.8026 0.980 0.000 0.000 NA 0.000
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 3 0.4473 0.7181 0.000 0.000 0.580 NA 0.008
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.3876 0.5224 0.000 0.000 0.776 NA 0.192
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 5 0.5293 0.1905 0.000 0.000 0.460 NA 0.492
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 5 0.1628 0.6957 0.000 0.000 0.008 NA 0.936
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.3661 0.7142 0.724 0.000 0.000 NA 0.000
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.4166 0.7282 0.792 0.000 0.116 NA 0.004
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 5 0.6904 0.5072 0.072 0.000 0.196 NA 0.580
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0162 0.8904 0.000 0.996 0.000 NA 0.000
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.3649 0.7789 0.808 0.000 0.040 NA 0.000
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.1043 0.8028 0.960 0.000 0.000 NA 0.000
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 3 0.4227 0.7182 0.000 0.000 0.580 NA 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.4674 0.7086 0.748 0.004 0.000 NA 0.100
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.1121 0.8034 0.956 0.000 0.000 NA 0.000
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.3832 0.7288 0.796 0.000 0.016 NA 0.172
#> D841D893-0126-4D5A-A5A0-955172379E32 1 0.4990 0.6953 0.712 0.000 0.004 NA 0.096
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0671 0.8023 0.980 0.000 0.000 NA 0.004
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.2616 0.7861 0.880 0.000 0.000 NA 0.100
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.3106 0.7878 0.872 0.000 0.020 NA 0.080
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.2256 0.8031 0.920 0.000 0.016 NA 0.032
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.3752 0.7028 0.708 0.000 0.000 NA 0.000
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.3266 0.7650 0.796 0.000 0.000 NA 0.004
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 5 0.5559 0.5192 0.228 0.000 0.004 NA 0.648
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 5 0.3523 0.6568 0.000 0.140 0.004 NA 0.824
#> 581B589A-0489-4A89-8E4B-86719EB9C756 3 0.6114 0.6567 0.000 0.132 0.492 NA 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.6731 0.1709 0.328 0.000 0.004 NA 0.444
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.3521 0.6919 0.000 0.764 0.004 NA 0.232
#> ACCFCE18-1113-4203-845F-4608539005FE 5 0.1205 0.6974 0.000 0.000 0.004 NA 0.956
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0510 0.8014 0.984 0.000 0.000 NA 0.000
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.1908 0.8051 0.908 0.000 0.000 NA 0.000
#> 112C634F-F6F1-4851-B85D-4924DB51E665 3 0.4481 0.7175 0.000 0.008 0.576 NA 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.1357 0.7008 0.000 0.000 0.948 NA 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 259A8EEF-B9C6-4E17-AB2A-E20BFF75F619 3 0.1871 0.7703 0.000 0.000 0.928 0.024 0.016 0.032
#> 7F9B1D32-6F17-4895-A4C3-DDACD17ADAD5 1 0.1442 0.7554 0.944 0.000 0.004 0.000 0.012 0.040
#> AA48ABC9-44D9-4632-A697-DA579D2FF2CF 4 0.2219 0.8233 0.000 0.000 0.136 0.864 0.000 0.000
#> 85FAC803-0316-40E1-A8CE-913DEB363D4E 1 0.0820 0.7620 0.972 0.000 0.000 0.000 0.016 0.012
#> EDC25399-0551-43CD-B8E9-E7B0B11469EC 1 0.6340 0.2598 0.480 0.000 0.348 0.000 0.108 0.064
#> 2ADE9548-ACC7-4193-9949-5C6C465272B2 6 0.5393 0.4726 0.000 0.000 0.120 0.000 0.372 0.508
#> 4C8CCB3B-10AB-4F5D-AD9D-7C22BB432D76 2 0.1644 0.7934 0.000 0.920 0.000 0.004 0.000 0.076
#> 39722B0A-293B-4592-AF57-BCA22C38A64E 2 0.4178 0.6761 0.000 0.752 0.020 0.004 0.036 0.188
#> 872A1F81-74DD-46F5-AE5A-28660B692BFC 2 0.1152 0.8094 0.000 0.952 0.000 0.004 0.000 0.044
#> 6F178361-2A14-4245-8A35-13A0174231E4 6 0.5363 0.4113 0.000 0.032 0.044 0.000 0.452 0.472
#> 6F5EFAB2-5A02-41A3-A638-695490DB20EF 3 0.4460 0.6598 0.000 0.024 0.664 0.292 0.000 0.020
#> 2D62D209-E88D-4DAF-93F4-9EB1CDC4233F 1 0.3430 0.7110 0.772 0.000 0.004 0.000 0.208 0.016
#> A033D709-F383-4E08-A1E4-4F6FD8549975 5 0.5077 0.3722 0.024 0.000 0.128 0.004 0.696 0.148
#> 2E8736F8-1DDE-49FF-ACAA-B7E7F974FC81 3 0.1555 0.7891 0.000 0.000 0.940 0.040 0.008 0.012
#> 6DA211CC-0994-4618-8B0F-2F2B61079A15 2 0.0837 0.8148 0.000 0.972 0.020 0.004 0.004 0.000
#> 19342512-D282-4C35-B9A9-3A1180D594F4 2 0.5449 0.0875 0.000 0.548 0.024 0.000 0.356 0.072
#> 438DC3F0-0C35-4DC7-B804-67D7DEA9A7FA 1 0.2182 0.7655 0.900 0.000 0.004 0.000 0.076 0.020
#> 41E266E3-C39D-4615-BBA2-397560EBA4F2 4 0.0820 0.9508 0.000 0.012 0.016 0.972 0.000 0.000
#> D3ACA92F-A7A6-479E-98A8-ACB394DDD5EF 3 0.2854 0.7921 0.000 0.000 0.792 0.208 0.000 0.000
#> 6A4C9D74-393A-41F4-B5ED-3B4797D00DDC 5 0.4756 0.4015 0.016 0.000 0.168 0.004 0.716 0.096
#> D6785CA2-28A8-4CE6-8E0E-066B7AD78B06 5 0.4818 -0.1879 0.460 0.000 0.008 0.000 0.496 0.036
#> BA285E50-200E-4B98-9F8B-904AD679CD45 1 0.4521 0.6404 0.712 0.000 0.004 0.000 0.176 0.108
#> 862D8DE4-0F24-427A-BAA8-B2F42E74D43D 5 0.5180 -0.2309 0.004 0.000 0.076 0.000 0.504 0.416
#> BBA302F2-AB58-4A86-B853-A0FFCEA9E272 3 0.2420 0.7030 0.000 0.000 0.888 0.004 0.076 0.032
#> 78AD054E-48F3-42F8-8533-E52BF10F4C49 5 0.5410 -0.2171 0.000 0.016 0.076 0.000 0.520 0.388
#> F61BE95F-DF0E-4140-9801-6FC7E9D96E68 1 0.2604 0.7258 0.856 0.004 0.004 0.000 0.004 0.132
#> C760EF53-EE23-431E-99B4-E5F3832D27F8 3 0.3409 0.7145 0.000 0.000 0.700 0.300 0.000 0.000
#> F21EF450-28FC-4A66-BAB9-157140CB534E 2 0.3488 0.6623 0.000 0.744 0.008 0.004 0.000 0.244
#> 0AC825A9-EC20-4D3E-9114-4DEAC902DE11 5 0.4855 0.4153 0.000 0.012 0.160 0.004 0.704 0.120
#> 7DB11F5F-719C-4E93-BA82-AB429977E8AF 6 0.5785 0.5805 0.000 0.036 0.100 0.000 0.304 0.560
#> 330A1F11-F5D6-4651-AFD8-03843B50A7CF 5 0.6705 0.2665 0.376 0.000 0.096 0.008 0.436 0.084
#> 9613F306-EEBE-4026-A163-62FDFC6011E6 2 0.2933 0.7111 0.000 0.796 0.000 0.000 0.004 0.200
#> 70F98E26-61C1-4F2E-BC38-CD28F2918E4D 2 0.3508 0.5928 0.000 0.704 0.000 0.000 0.004 0.292
#> 90EFB8FA-018E-4577-ABC8-471FB95300C8 2 0.0622 0.8157 0.000 0.980 0.012 0.000 0.000 0.008
#> B1C6E6BD-284E-4254-8C91-58EB351D479F 3 0.3265 0.7681 0.000 0.000 0.748 0.248 0.000 0.004
#> 2A32F035-C562-49B9-BA70-1F9ACEF66D2F 1 0.5170 0.3679 0.544 0.056 0.000 0.000 0.016 0.384
#> 9F588AFB-10B4-4C27-8881-2B33B2C00D42 5 0.4667 0.4635 0.144 0.000 0.016 0.000 0.720 0.120
#> 3A8D104B-BDBB-4B94-821F-14EB6F614B1C 5 0.4356 0.4339 0.024 0.000 0.132 0.004 0.764 0.076
#> 9F377239-9A4C-48B5-9B1C-958396BB5DA4 4 0.1471 0.9131 0.000 0.064 0.004 0.932 0.000 0.000
#> AED0C605-4800-4ACB-932B-E70A79045CBA 1 0.1464 0.7588 0.944 0.000 0.004 0.000 0.016 0.036
#> 03712A3C-CEC2-4BAC-9186-276F9890C10E 2 0.0260 0.8147 0.000 0.992 0.000 0.000 0.000 0.008
#> A6562F43-3437-403E-8F19-4C9E956C79C1 3 0.3239 0.8011 0.000 0.000 0.808 0.164 0.004 0.024
#> 1DF936AB-8850-45F5-827A-2DC578388F24 5 0.6583 -0.0635 0.344 0.004 0.008 0.008 0.388 0.248
#> 29B732C6-0404-4B37-AD22-654A9348C95E 1 0.4516 0.7125 0.756 0.028 0.000 0.004 0.112 0.100
#> DEAB039E-E2F9-4C78-9934-25EC0211434E 5 0.6015 0.3258 0.000 0.048 0.204 0.004 0.600 0.144
#> 028D7027-E8CE-4B5C-A3EF-758B1660CA12 1 0.5800 0.4423 0.580 0.000 0.272 0.000 0.040 0.108
#> C776E424-2251-4DB1-B779-B0CAF408E3D3 1 0.3227 0.7428 0.840 0.000 0.052 0.000 0.096 0.012
#> 18719024-098B-47D7-9367-D4FDC059699B 2 0.1082 0.8095 0.000 0.956 0.000 0.004 0.000 0.040
#> 20EFF36C-2196-4B47-A06B-FD309817AA12 3 0.2969 0.7823 0.000 0.000 0.776 0.224 0.000 0.000
#> 31DA01E1-9F73-452B-9682-79B58FE4B2F7 3 0.2595 0.8082 0.000 0.000 0.836 0.160 0.000 0.004
#> 5ADD14BA-9CDD-4DCE-9A54-E6741F9B5F36 3 0.4273 0.6035 0.132 0.000 0.768 0.000 0.036 0.064
#> B4BE3C65-C5A6-4151-93EB-6427D2C55D6B 5 0.5922 0.2898 0.080 0.000 0.368 0.000 0.504 0.048
#> 02D51DA6-7DF9-47DB-BA36-CC0D330362E6 3 0.3587 0.6459 0.000 0.188 0.772 0.000 0.000 0.040
#> D8A7179D-32B4-4BBE-8E83-628962BDD2FE 1 0.5220 0.4240 0.528 0.000 0.000 0.000 0.372 0.100
#> A8D9C649-F890-448B-BF5B-427D1C2715F4 1 0.1124 0.7610 0.956 0.000 0.008 0.000 0.000 0.036
#> 9F3C6D77-BB1C-4229-8A99-F063FB6240AA 2 0.1124 0.8118 0.000 0.956 0.008 0.000 0.000 0.036
#> 5C94E740-0048-4430-98CA-D9B2268FEF41 4 0.1168 0.9450 0.000 0.028 0.016 0.956 0.000 0.000
#> 7A381525-3C2A-47C4-AB5F-2C21E294BB92 1 0.0870 0.7608 0.972 0.000 0.004 0.000 0.012 0.012
#> 3C806BA7-8700-46BB-B461-7F9C23C89557 3 0.2838 0.8042 0.000 0.000 0.808 0.188 0.000 0.004
#> D50812F2-B79A-4C4E-8E67-2D0B4F268BAC 2 0.4161 0.4758 0.004 0.608 0.000 0.000 0.012 0.376
#> 8EA5EF4B-9045-4D5F-A20C-255F0ECC08C6 5 0.5133 0.2988 0.000 0.004 0.160 0.004 0.656 0.176
#> E65A84D2-C271-4479-AB92-A0F2B3047A5B 5 0.6604 0.3290 0.228 0.000 0.068 0.000 0.508 0.196
#> 867DB00B-06E3-454D-B055-0F21A72AE3F7 1 0.5938 0.0422 0.444 0.428 0.000 0.008 0.016 0.104
#> 418764FC-8509-41C1-BFFA-B3DD8A6D9AAF 4 0.0458 0.9511 0.000 0.000 0.016 0.984 0.000 0.000
#> C6387BF7-5BC3-41E4-9CBE-4A8C953A2AC3 1 0.4297 0.6962 0.724 0.000 0.000 0.000 0.176 0.100
#> 9CC73F06-A5AF-4D94-87A9-2F25B039D029 1 0.1367 0.7624 0.944 0.000 0.000 0.000 0.044 0.012
#> 2B8B7470-7514-45CB-95D0-ED960426089C 5 0.4260 0.4713 0.036 0.000 0.120 0.000 0.772 0.072
#> F42786E4-1F5C-44B1-A1AB-8D127F7CBCD0 5 0.5453 0.4034 0.140 0.000 0.000 0.012 0.604 0.244
#> 40224DBE-2EB8-4984-9FBF-45B4FD25334F 4 0.0458 0.9511 0.000 0.000 0.016 0.984 0.000 0.000
#> 0DDD0D90-6979-43D5-8366-E4053C2CE4DB 1 0.5420 0.6315 0.676 0.000 0.076 0.004 0.068 0.176
#> 4FFA9B06-04F7-4DF1-A1EA-BB544A716AFB 5 0.7322 -0.3526 0.000 0.184 0.148 0.000 0.404 0.264
#> E416C90A-2A9A-4F86-9B78-51FE5F8E3B7D 1 0.5771 0.4591 0.580 0.000 0.172 0.000 0.228 0.020
#> E80092F8-8B50-447B-A8D1-4B08096D34B6 3 0.2619 0.7012 0.000 0.000 0.880 0.008 0.040 0.072
#> 8D920066-BD00-4BF2-BACD-6F23396B1BDE 1 0.3526 0.7170 0.808 0.000 0.036 0.004 0.008 0.144
#> 21D4205D-3BC1-420F-AB6D-E56858A04E4E 2 0.3536 0.7598 0.000 0.836 0.016 0.012 0.076 0.060
#> 085A808C-9337-4B1C-A469-0DFD67E64BC5 1 0.2944 0.7503 0.860 0.000 0.028 0.000 0.092 0.020
#> D209EAAE-2A01-4CD4-9987-272F17352574 2 0.1198 0.8159 0.012 0.960 0.000 0.004 0.004 0.020
#> 0FEB903F-6DED-410E-8409-5B47D306D4BB 5 0.4996 0.1393 0.000 0.000 0.100 0.000 0.604 0.296
#> 3C043AC7-BBEB-4076-B829-0D062BF2364A 1 0.4951 0.6905 0.720 0.036 0.000 0.004 0.120 0.120
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#> A4C9D169-6BBF-44A8-8910-05239851D527 1 0.5165 0.2999 0.516 0.000 0.004 0.000 0.404 0.076
#> 9CE84ABE-9F8D-4757-BB3C-D1E54B841521 2 0.0260 0.8147 0.000 0.992 0.000 0.000 0.000 0.008
#> 6DF0AECD-840C-4E22-80FD-9B0A78882074 4 0.0458 0.9511 0.000 0.000 0.016 0.984 0.000 0.000
#> AD66FA33-868B-418F-BC84-13FCC969BBC2 1 0.6823 0.3910 0.496 0.000 0.064 0.008 0.196 0.236
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#> ACE0493F-E7CD-47FB-91E1-25393C512001 4 0.1049 0.9429 0.000 0.000 0.032 0.960 0.008 0.000
#> 9EBC3135-5C39-4197-B503-A9A1320CD7A2 5 0.5509 0.3306 0.032 0.000 0.132 0.004 0.652 0.180
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#> 286D6387-C92C-4ACC-BE65-F4CA4B956ED9 2 0.1267 0.8056 0.000 0.940 0.000 0.000 0.000 0.060
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#> 134D1DDA-0BA7-4858-9FEA-E8CCB6A72E3C 2 0.1555 0.8018 0.000 0.932 0.000 0.004 0.004 0.060
#> FE1DA496-DEBF-4839-9888-5B56EC6F7F40 5 0.4128 0.4782 0.164 0.000 0.044 0.000 0.764 0.028
#> F5B5ADBF-D607-400A-8AF8-4E1D5ED26902 3 0.2191 0.8129 0.000 0.000 0.876 0.120 0.000 0.004
#> B6ED9B7B-4EB7-4665-8A5C-396F3ACD6A46 1 0.5393 0.4119 0.556 0.000 0.068 0.000 0.352 0.024
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#> B506CD6F-A033-40DA-A7B1-084FBD81B68D 2 0.1152 0.8073 0.000 0.952 0.000 0.004 0.000 0.044
#> 53932F11-DE7B-4BD1-BC3D-22F084FD60DE 4 0.0820 0.9508 0.000 0.012 0.016 0.972 0.000 0.000
#> 6D827B82-FC34-4792-954C-CA39D29C1D96 2 0.5838 0.5381 0.024 0.640 0.032 0.024 0.040 0.240
#> 9860FE99-6582-4D51-8CAF-92738855F425 6 0.4708 -0.1676 0.000 0.476 0.012 0.004 0.016 0.492
#> 8EF69D81-54BE-42D0-A389-935020BBDD3D 1 0.1180 0.7635 0.960 0.000 0.012 0.000 0.016 0.012
#> 69916652-606A-4890-9517-C72857EB81B7 1 0.0458 0.7604 0.984 0.000 0.000 0.000 0.016 0.000
#> 00AE6283-5CA0-4236-B013-AC47851BBD32 2 0.6606 -0.1230 0.000 0.484 0.056 0.000 0.196 0.264
#> 6F3CC672-D99D-4A02-A812-9E0306EAE984 6 0.5477 0.3912 0.000 0.000 0.124 0.000 0.420 0.456
#> 54964A1F-7EE8-4141-8F60-B6BF2C153139 6 0.6032 0.5066 0.000 0.016 0.172 0.000 0.316 0.496
#> FCA7D642-BF4C-48FA-A168-EF581A4433AC 2 0.0146 0.8146 0.000 0.996 0.000 0.000 0.000 0.004
#> C261EDAF-AEC4-4F89-88A2-4B4BF93D38FC 5 0.6981 0.4126 0.160 0.000 0.104 0.008 0.500 0.228
#> DE977190-BFCB-4889-AB4D-68325C10E7D7 1 0.2918 0.7571 0.868 0.000 0.048 0.000 0.064 0.020
#> 9903B65A-CA26-4C98-B7CD-182663E77E9B 1 0.4537 0.3928 0.552 0.000 0.000 0.000 0.036 0.412
#> 9AF7D55C-D7E6-4741-BFEC-88D950AFD6AE 1 0.4936 0.5697 0.672 0.000 0.080 0.000 0.228 0.020
#> 9F149FF5-730C-4178-81B3-D7F4EE8286BE 1 0.2182 0.7612 0.904 0.000 0.020 0.000 0.068 0.008
#> AC408085-7A00-405A-BBAE-D85E418EA768 1 0.6719 0.0682 0.416 0.000 0.308 0.000 0.232 0.044
#> C041F9A7-625B-4249-B042-E938061FC103 5 0.5405 0.3753 0.208 0.000 0.000 0.008 0.612 0.172
#> DD6A4073-630B-460F-8D5D-37A548A6FC6E 3 0.3797 0.5051 0.000 0.000 0.580 0.420 0.000 0.000
#> 0FF1F71A-DF5C-451B-8034-8376C0EA6684 2 0.2455 0.7681 0.000 0.872 0.004 0.012 0.000 0.112
#> C7FAF704-5646-44B7-B42B-24044C1E6FC2 5 0.7024 -0.3928 0.000 0.104 0.156 0.000 0.400 0.340
#> 133E9177-2E28-46BE-8298-5217E1537E73 5 0.3130 0.3968 0.004 0.000 0.004 0.008 0.808 0.176
#> 48889A8C-DCB3-4B51-A11F-B05601E7B0B3 1 0.4082 0.6984 0.764 0.000 0.068 0.000 0.156 0.012
#> 4923A645-5B8F-4DA0-A199-52C5A0C6FA02 4 0.2070 0.8761 0.000 0.008 0.100 0.892 0.000 0.000
#> A711D0C5-1D17-4AB9-8FDA-B40A5E775099 3 0.0858 0.7915 0.000 0.000 0.968 0.028 0.000 0.004
#> 624574C9-EA54-43BF-A1CF-7418A82CC392 2 0.4171 0.4250 0.000 0.604 0.012 0.004 0.000 0.380
#> 1F746AE9-EF0E-448F-A0FE-80A243288040 1 0.6097 0.2836 0.444 0.000 0.000 0.008 0.340 0.208
#> A45F3A18-FE01-4651-8421-BEC9219D9201 5 0.4085 0.4440 0.192 0.000 0.000 0.000 0.736 0.072
#> 906F768E-2E9D-4106-8062-BCE7AB174403 1 0.1682 0.7611 0.928 0.000 0.000 0.000 0.052 0.020
#> BCE26B15-3252-4FE3-A76B-1ADB9DC7B52B 4 0.0603 0.9492 0.000 0.000 0.016 0.980 0.004 0.000
#> B6E86B3C-48E4-45E4-9CDA-6BD601C4614C 3 0.1555 0.8021 0.000 0.000 0.932 0.060 0.004 0.004
#> 74A2FFE2-73C1-4111-B28B-FD9942053ED0 3 0.0520 0.7700 0.000 0.000 0.984 0.000 0.008 0.008
#> 6FC5AF1B-3F4B-49E3-A611-6DCAD85C363A 6 0.5790 0.4068 0.000 0.000 0.184 0.000 0.360 0.456
#> 9426519A-6912-4771-B255-0ED4CB1EAA12 1 0.6096 0.3121 0.456 0.000 0.000 0.008 0.320 0.216
#> A8E2C95C-FC49-424D-B4BC-4294E99C7360 1 0.4668 0.4918 0.648 0.000 0.296 0.000 0.016 0.040
#> 0B57FE6C-7819-4D49-BDC4-46C2F349E180 3 0.6638 0.1541 0.224 0.000 0.460 0.004 0.036 0.276
#> BE787416-396B-48B4-A5D2-8E2EE082D001 2 0.0713 0.8121 0.000 0.972 0.000 0.000 0.000 0.028
#> 9D8A1B90-D209-4D4C-BCD6-A31496D773E4 1 0.4667 0.6796 0.732 0.000 0.060 0.000 0.160 0.048
#> 2061F188-AF57-4EEB-88D1-69DB159A1BE3 1 0.0972 0.7628 0.964 0.000 0.000 0.000 0.008 0.028
#> 12F2CEFF-2D86-4FE6-934C-6775C98338E0 4 0.0632 0.9488 0.000 0.000 0.024 0.976 0.000 0.000
#> 3269681B-7E1A-4F7F-BFCE-546D884E7267 1 0.5235 0.5387 0.596 0.004 0.000 0.000 0.116 0.284
#> A638B496-CA9F-4C64-93F4-C7E11D713C76 1 0.2169 0.7569 0.900 0.008 0.000 0.000 0.012 0.080
#> 10B07866-6634-45F5-ACEC-99C132A6C7C6 1 0.4473 0.6555 0.740 0.000 0.060 0.000 0.168 0.032
#> D841D893-0126-4D5A-A5A0-955172379E32 5 0.5293 -0.2164 0.432 0.000 0.008 0.000 0.484 0.076
#> AB6C8B90-7FFB-4B89-A967-3950673B1ED7 1 0.0767 0.7610 0.976 0.000 0.004 0.000 0.012 0.008
#> E87A1C3E-821D-446D-9AD9-030CDF758819 1 0.3453 0.7114 0.808 0.000 0.040 0.000 0.144 0.008
#> 024E382A-6D24-48D0-8568-6297A71462E7 1 0.4335 0.6712 0.736 0.000 0.072 0.000 0.180 0.012
#> B5793A95-1EEE-4ACF-A1BF-1B9DD5FB5A19 1 0.3121 0.7476 0.856 0.000 0.052 0.000 0.068 0.024
#> F53EB281-85FB-4EF5-BABA-7885D0670D14 1 0.6251 0.1535 0.380 0.000 0.000 0.008 0.364 0.248
#> 79523685-8715-4B64-B53E-3A7506C06994 1 0.4883 0.6119 0.672 0.000 0.004 0.008 0.084 0.232
#> DA8D21C6-5551-4A3B-9C05-FB59DB3A7B55 5 0.5003 0.4205 0.048 0.000 0.124 0.000 0.712 0.116
#> D1D1F0BD-7BA9-44C3-AC2A-92191874BDF4 5 0.7149 -0.4370 0.000 0.140 0.136 0.000 0.384 0.340
#> 581B589A-0489-4A89-8E4B-86719EB9C756 4 0.1910 0.8655 0.000 0.108 0.000 0.892 0.000 0.000
#> 7EFAE8DB-9617-4A56-A839-FA1B58AF2493 5 0.3383 0.4710 0.056 0.000 0.012 0.000 0.828 0.104
#> 47D57D1E-1CF5-4701-AC0F-58100CE6B988 2 0.4462 0.6363 0.000 0.756 0.036 0.000 0.120 0.088
#> ACCFCE18-1113-4203-845F-4608539005FE 5 0.5409 -0.1459 0.000 0.000 0.128 0.000 0.524 0.348
#> 0ECD4011-E7F3-4A87-917E-1F34D1129EDA 1 0.0692 0.7600 0.976 0.000 0.000 0.000 0.004 0.020
#> 8A243AC3-C2A0-427A-8B8B-CF9525209643 1 0.3698 0.7298 0.788 0.000 0.000 0.000 0.116 0.096
#> 112C634F-F6F1-4851-B85D-4924DB51E665 4 0.0820 0.9508 0.000 0.012 0.016 0.972 0.000 0.000
#> D3FEA58F-C9EC-44B6-82A1-3BBDAD130C9D 3 0.3437 0.7584 0.000 0.000 0.752 0.236 0.004 0.008
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