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Here you see a comparison matrix how well this clustering method performs on different datasets (rows). Where the performance is measured with different clustering quality measures (columns).

You can reorder the matrix by a certain column, to see on which dataset this clustering method performs best on, when measures by the corresponding clustering quality measure of that column.

How well does 'Spectral Clustering' perform on different datasets?


Dataset Type Davies Bouldin Index (R) Dunn Index (R) F1-Score F2-Score False Discovery Rate False Positive Rate Fowlkes Mallows Index (R) Jaccard Index (R) Rand Index Rand Index (R) Sensitivity Silhouette Value (R) Specificity V-Measure
brown 0.539 NaN 0.656 0.651 0.0 0.0 0.653 0.451 0.858 0.858 0.965 0.47 1.0 0.795
fu_flame 0.496 3.404 0.889 0.838 0.005 0.002 0.81 0.659 0.816 0.816 0.665 0.414 0.998 0.736
chang_pathbased 0.483 3.635 0.867 0.864 0.0 0.0 0.832 0.693 0.898 0.898 0.815 0.505 1.0 0.797
ppi_mips 0.753 2.022 0.535 0.598 0.46 0.0 0.582 0.407 0.985 0.985 0.991 0.0 1.0 0.817
chang_spiral 0.57 1.762 0.93 0.901 0.0 0.0 0.924 0.854 0.952 0.952 0.854 0.364 1.0 0.912
astral_40_strsim 0.659 1.993 0.224 0.181 0.844 0.0 0.073 0.019 0.989 0.989 0.501 -0.002 1.0 0.78
astral_40_seqsim_beh 0.859 2.001 0.457 0.421 0.25 0.0 0.143 0.074 0.989 0.989 1.0 0.035 1.0 0.78
zahn_compound 0.337 5.204 0.8 0.764 0.014 0.001 0.727 0.545 0.883 0.883 1.0 0.638 0.999 0.804
fraenti_s3 0.475 3.224 0.85 0.839 0.154 0.001 0.733 0.578 0.966 0.966 0.976 0.397 0.999 0.788
bone_marrow_fixLabels 0.593 2.687 0.973 0.973 0.032 0.002 0.944 0.894 0.959 0.959 1.0 0.352 0.998 0.906
coli_state 0.862 1.609 0.516 0.676 0.493 0.0 0.583 0.362 0.609 0.609 0.898 NaN 1.0 0.355
coli_find 0.88 1.938 0.217 0.376 0.5 0.0 0.317 0.119 0.873 0.873 0.822 NaN 1.0 0.545
coli_need 0.868 1.565 0.493 0.595 0.0 0.0 0.473 0.301 0.614 0.614 0.583 NaN 1.0 0.359
coli_time 0.424 2.359 0.403 0.597 0.5 0.0 0.513 0.264 0.736 0.736 0.998 NaN 1.0 0.396
gionis_aggregation 0.352 3.598 0.943 0.962 0.006 0.0 0.947 0.899 0.976 0.976 1.0 0.48 1.0 0.95
veenman_r15 0.379 2.912 0.952 0.934 0.013 0.0 0.931 0.869 0.991 0.991 1.0 0.614 1.0 0.949
synthetic_spirals 0.641 3.015 0.698 0.591 0.0 0.0 0.706 0.499 0.75 0.75 0.499 0.325 1.0 0.667
synthetic_cassini 0.484 3.893 1.0 1.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.473 1.0 1.0
twonorm_100d 0.962 2.068 0.965 0.965 0.068 0.005 0.932 0.872 0.932 0.932 0.932 0.038 0.995 0.782
twonorm_50d 0.922 2.135 0.97 0.97 0.047 0.004 0.941 0.889 0.942 0.942 0.942 0.075 0.996 0.816
synthetic_cuboid 0.542 3.003 0.709 0.803 0.046 0.004 0.664 0.441 0.843 0.843 1.0 0.39 0.996 0.727
astral1_161 0.547 NaN 0.78 0.755 0.062 0.0 0.682 0.517 0.898 NaN 0.918 0.063 1.0 0.741
tcga 0.634 1.976 NaN NaN 0.067 0.0 0.524 0.355 0.499 0.499 0.497 -0.004 1.0 0.237
bone_marrow 0.665 2.285 0.716 0.827 0.488 0.423 0.679 0.485 0.642 0.642 0.901 0.209 0.577 0.432
zachary 0.729 1.812 0.69 0.691 0.064 0.003 0.544 0.37 0.624 0.624 0.619 -0.042 0.997 0.397