Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
chang_pathbased 1.0 alpha=0.42857142857142855
K=57
chang_spiral 1.0 alpha=0.05952380927434812
K=6
fraenti_s3 1.0 alpha=0.8333333333333334
K=1091
bone_marrow_fixLabels 1.0 alpha=0.1
K=2
fu_flame 1.0 alpha=0.9523809523809523
K=69
gionis_aggregation 1.0 alpha=1.220703125E-4
K=11
veenman_r15 1.0 alpha=0.7619047619047619
K=485
zahn_compound 1.0 alpha=0.47619047619047616
K=323
synthetic_spirals 1.0 alpha=0.46904761904761905
K=15
synthetic_cassini 1.0 alpha=0.2857142857142857
K=214
twonorm_100d 1.0 alpha=0.9523809523809523
K=67
twonorm_50d 1.0 alpha=0.13333333333333333
K=31
synthetic_cuboid 1.0 alpha=0.060693027210884355
K=16
bone_marrow 1.0 alpha=0.2857142857142857
K=25