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If you need more detailed information about how clustering qualities were achieved, please have a look at the Clustering Methods or Datasets sections.

Comparison of all clustering methods on all datasets

This matrix contains the best performances of clustering methods applied to different datasets. Every cell shows the best achieved clustering quality with the corresponding clustering method on the corresponding dataset. The clustering quality is measured as F1-Score.

Data Configs. instead of Data Sets? Program Configs. instead of Programs? Transpose Matrix & Chart Show Ranks

Data Set Data Type AGNES Affinity Propagation CLARA DBSCAN DIANA DensityCut Hierarchical Clustering MCODE Markov Clustering Self Organizing Maps Spectral Clustering Transitivity Clustering c-Means clusterONE clusterdp fanny k-Means k-Medoids (PAM)
astral1_161 Protein Sequence Similarity 0.764 0.267 -- 0.287 0.481 -- 0.747 0.592 0.596 -- 0.78 0.732 0.648 0.771 0.726 0.494 -- 0.657
astral_40_seqsim_beh Protein Sequence Similarity 0.714 0.544 -- 0.261 0.531 -- 0.714 0.463 0.649 -- 0.457 0.714 0.52 0.634 0.664 0.48 -- 0.576
astral_40_strsim Protein Structure Similarity 0.851 0.837 -- 0.179 0.49 -- 0.849 0.755 0.645 -- 0.224 0.84 0.677 0.809 0.852 0.71 -- 0.872
bone_marrow Gene Expression 0.896 0.948 0.834 0.933 0.858 0.894 0.933 0.917 0.783 0.831 0.716 0.933 0.921 0.847 0.923 0.921 0.921 0.9
brown Protein Sequence Similarity 0.987 0.91 -- 0.68 0.991 -- 0.987 0.931 0.923 -- 0.656 0.986 0.78 0.946 0.975 0.767 -- 0.912
chang_pathbased Synthetic 0.807 0.501 0.714 0.947 0.728 0.76 0.736 0.843 0.65 0.652 0.867 0.73 0.707 0.501 0.735 0.711 0.696 0.691
chang_spiral Synthetic 1.0 0.5 0.5 1.0 0.5 1.0 1.0 0.484 0.5 0.408 0.93 0.5 0.423 0.5 1.0 0.5 0.463 0.418
coli_find Word Sense Disambiguation 0.241 0.256 -- 0.221 0.244 -- 0.237 0.23 0.221 -- 0.217 0.235 0.231 0.221 0.235 0.254 -- 0.244
coli_need Word Sense Disambiguation 0.55 0.55 -- 0.55 0.55 -- 0.547 0.55 0.55 -- 0.493 0.55 0.536 0.55 0.547 0.551 -- 0.546
coli_state Word Sense Disambiguation 0.546 0.485 -- 0.53 0.53 -- 0.546 0.526 0.53 -- 0.516 0.53 0.478 0.53 0.546 0.53 -- 0.507
coli_time Word Sense Disambiguation 0.404 0.349 -- 0.403 0.404 -- 0.404 0.382 0.403 -- 0.403 0.403 0.398 0.403 0.404 0.404 -- 0.387
fraenti_s3 Synthetic 0.822 0.547 0.845 0.63 0.767 0.861 0.79 0.347 0.125 0.375 0.85 0.835 0.847 0.125 0.855 0.84 0.844 0.844
fu_flame Synthetic 0.972 0.689 0.841 0.987 0.857 1.0 0.972 0.598 0.689 0.845 0.889 0.866 0.857 0.689 1.0 0.869 0.841 0.853
gionis_aggregation Synthetic 1.0 0.485 0.869 0.864 0.841 1.0 0.967 0.864 0.345 0.544 0.943 0.975 0.892 0.345 1.0 0.892 0.893 0.858
ppi_mips Protein-Protein-Interaction 0.33 0.17 -- 0.89 0.328 -- 0.88 0.805 0.821 -- 0.535 0.881 0.306 0.87 0.311 0.888 -- 0.822
synthetic_cassini Synthetic 1.0 0.524 0.768 1.0 0.392 1.0 1.0 0.992 0.524 0.778 1.0 0.885 0.957 0.524 1.0 0.957 0.78 0.95
synthetic_cuboid Synthetic 1.0 0.657 1.0 1.0 0.857 1.0 1.0 0.888 0.415 0.651 0.709 0.961 1.0 0.415 1.0 1.0 1.0 1.0
synthetic_spirals Synthetic 1.0 0.667 0.667 1.0 0.667 1.0 1.0 0.637 0.667 0.504 0.698 0.667 0.504 0.667 1.0 0.667 0.502 0.504
tcga Gene Expression 0.998 0.389 -- 0.944 0.911 -- 0.998 0.894 0.678 -- 0.5 0.986 0.916 0.678 0.921 0.914 -- 0.9
twonorm_100d Synthetic 0.89 0.342 0.667 0.667 0.95 0.667 0.89 0.667 0.667 0.666 0.965 0.667 0.97 0.788 0.666 0.899 0.965 0.66
twonorm_50d Synthetic 0.915 0.5 0.859 0.667 0.97 0.737 0.897 0.717 0.667 0.98 0.97 0.827 0.975 0.925 0.825 0.975 0.975 0.859
veenman_r15 Synthetic 0.995 0.997 0.966 0.989 0.979 0.997 0.994 0.969 0.125 0.98 0.952 0.997 0.975 0.125 0.997 0.989 0.974 0.997
zachary Social Network 1.0 0.715 -- 0.668 0.718 -- 1.0 0.668 1.0 -- 0.69 1.0 1.0 0.884 0.971 1.0 -- 0.941
zahn_compound Synthetic 0.878 0.581 0.769 0.886 0.806 0.888 0.874 0.825 0.381 0.611 0.8 0.848 0.822 0.381 0.868 0.811 0.769 0.769