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 0.785 alpha=0.08134920634920635
K=6
chang_spiral 1.0 alpha=0.05357142857142857
K=9
fraenti_s3 0.967 alpha=0.9877929687500002
K=121
bone_marrow_fixLabels 0.885 alpha=0.43333333333333335
K=2
fu_flame 1.0 alpha=0.5776785714285714
K=9
gionis_aggregation 1.0 alpha=1.52587890625E-5
K=10
veenman_r15 0.999 alpha=0.4309523809523809
K=24
zahn_compound 0.941 alpha=0.0
K=8
synthetic_spirals 1.0 alpha=0.032552083333333315
K=5
synthetic_cassini 1.0 alpha=0.9296875
K=6
twonorm_100d 0.501 alpha=0.3583333333333333
K=3
twonorm_50d 0.651 alpha=1.220703125E-4
K=2
synthetic_cuboid 1.0 alpha=0.0
K=36
bone_marrow 0.846 alpha=0.7619047619047619
K=2