Clusteval logo ClustEval clustering evaluation framework

How well do clustering methods perform on 'bone_marrow_fixLabels'?


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 0.258 2.367 0.885 0.874 0.0 0.0 0.839 0.716 0.892 0.892 1.0 NaN 1.0 0.79
Self Organizing Maps 0.665 2.285 0.754 0.874 0.451 0.465 0.741 0.549 0.703 NaN 1.0 0.209 0.535 0.665
Spectral Clustering 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
clusterdp 0.0 NaN 0.974 0.974 0.0 0.0 NaN 0.901 0.963 NaN 1.0 NaN 1.0 0.911
HDBSCAN 0.0 NaN 0.748 0.848 0.0 0.0 NaN 0.571 0.809 NaN 1.0 NaN 1.0 0.645
AGNES 0.433 NaN 0.948 0.947 0.067 0.013 0.893 0.807 0.923 NaN 1.0 NaN 0.987 0.818
c-Means NaN NaN 0.791 0.869 0.339 0.258 0.767 0.611 0.795 NaN 0.89 0.26 0.742 0.581
k-Medoids (PAM) 0.193 2.885 0.948 0.947 0.0 0.0 0.896 0.806 0.929 0.929 0.866 0.366 1.0 0.849
DIANA NaN NaN 0.896 0.862 0.035 0.016 0.852 0.732 0.9 NaN 1.0 NaN 0.984 0.801
DBSCAN 0.0 NaN 0.537 0.731 0.639 0.0 NaN 0.361 0.639 NaN 1.0 NaN 1.0 0.442
Hierarchical Clustering 0.372 NaN 1.0 1.0 0.0 0.0 1.0 1.0 1.0 NaN 1.0 0.371 1.0 1.0
fanny 0.414 NaN 0.973 0.973 0.055 0.018 0.944 0.894 0.959 NaN 1.0 NaN 0.982 0.906
k-Means 0.593 NaN 0.973 0.973 0.047 0.004 0.944 0.894 0.959 NaN 1.0 0.352 0.996 0.906
DensityCut 0.623 NaN 0.918 0.918 0.199 0.127 0.852 0.74 0.885 NaN 1.0 0.292 0.873 0.8
clusterONE Infinity NaN 0.537 0.731 0.639 1.0 0.601 0.361 0.361 NaN 1.0 NaN 0.0 0.0
Affinity Propagation 0.582 NaN 1.0 1.0 0.0 0.0 1.0 1.0 1.0 NaN 1.0 NaN 1.0 1.0
Markov Clustering Infinity NaN 0.537 0.731 0.639 1.0 0.601 0.361 0.361 NaN 1.0 NaN 0.0 0.0
Transitivity Clustering 0.0 Infinity 0.986 0.979 0.0 0.0 NaN 0.929 0.974 0.974 1.0 NaN 1.0 0.952
MCODE Infinity -Infinity 0.537 0.731 0.639 1.0 0.601 0.361 0.361 0.361 1.0 NaN 0.0 0.0