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How well do clustering methods perform on 'bone_marrow'?


Program 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
CLARA 0.251 2.517 0.834 0.827 0.0 0.0 0.769 0.617 0.842 0.842 1.0 NaN 1.0 0.645
Self Organizing Maps 0.568 2.285 0.831 0.827 0.0 0.0 0.69 0.517 0.794 0.794 0.901 0.28 1.0 0.639
Spectral Clustering 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
clusterdp 0.291 2.938 0.923 0.921 0.0 0.0 0.868 0.767 0.905 0.905 0.973 0.357 1.0 0.776
HDBSCAN 0.0 NaN 0.713 0.802 0.0 0.0 NaN 0.522 0.797 NaN 1.0 NaN 1.0 0.583
AGNES 0.0 Infinity 0.896 0.895 0.0 0.0 NaN 0.694 0.868 0.868 1.0 NaN 1.0 0.684
c-Means 0.0 Infinity 0.921 0.921 0.0 0.0 NaN 0.765 0.9 0.9 0.867 0.352 1.0 0.735
k-Medoids (PAM) 0.193 2.885 0.9 0.894 0.0 0.0 0.839 0.715 0.888 0.888 0.802 0.366 1.0 0.714
DIANA 0.0 Infinity 0.858 0.832 0.0 0.0 NaN 0.689 0.875 0.875 1.0 NaN 1.0 0.692
DBSCAN 0.0 Infinity 0.933 0.926 0.0 0.0 NaN 0.782 0.913 0.913 1.0 NaN 1.0 0.789
Hierarchical Clustering 0.0 Infinity 0.933 0.926 0.0 0.0 NaN 0.782 0.913 0.913 0.973 NaN 1.0 0.789
fanny 0.414 2.687 0.921 0.921 0.065 0.007 0.867 0.765 0.9 0.9 1.0 NaN 0.993 0.735
k-Means 0.254 2.687 0.921 0.921 0.0 0.0 0.867 0.765 0.9 0.9 0.901 0.352 1.0 0.735
DensityCut 0.623 2.519 0.894 0.894 0.23 0.15 0.804 0.672 0.846 0.846 1.0 NaN 0.85 0.66
clusterONE 0.472 2.901 0.847 0.84 0.18 0.057 0.723 0.566 0.799 0.799 1.0 NaN 0.943 0.612
Affinity Propagation 0.0 Infinity 0.948 0.947 0.057 0.0 NaN 0.846 0.939 0.939 1.0 NaN 1.0 0.829
Markov Clustering 0.623 2.657 0.783 0.875 0.369 0.341 0.783 0.62 0.777 0.777 1.0 NaN 0.659 0.645
Transitivity Clustering 0.0 Infinity 0.933 0.926 0.0 0.0 NaN 0.782 0.913 0.913 1.0 NaN 1.0 0.789
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