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
brown 1.0 I=1.3494494494494496
chang_pathbased 1.0 I=4.431931931931932
ppi_mips 1.0 I=1.4830830830830832
chang_spiral 1.0 I=9.394194194194194
astral_40_strsim 1.0 I=1.3672672672672674
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=7.808408408408408
bone_marrow_fixLabels 1.0 I=1.126726726726727
fu_flame 1.0 I=6.623523523523523
coli_state 1.0 I=6.953153153153154
coli_find 1.0 I=8.53003003003003
coli_need 1.0 I=8.636936936936937
coli_time 1.0 I=5.875175175175176
gionis_aggregation 1.0 I=1.1
veenman_r15 1.0 I=8.877477477477479
zahn_compound 1.0 I=7.3184184184184184
synthetic_spirals 1.0 I=6.872972972972973
synthetic_cassini 1.0 I=5.554454454454454
twonorm_100d 1.0 I=5.750450450450451
twonorm_50d 1.0 I=4.111211211211211
synthetic_cuboid 1.0 I=5.331731731731732
astral1_161 1.0 I=1.117817817817818
tcga 1.0 I=4.084484484484484
bone_marrow 1.0 I=4.084484484484484
zachary 1.0 I=1.9552552552552553