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 0.948 I=1.7147147147147148
chang_pathbased 0.742 I=9.367467467467467
ppi_mips 0.888 I=3.8083083083083085
chang_spiral 0.714 I=7.006606606606607
astral_40_strsim 0.675 I=4.494294294294295
astral_40_seqsim_beh 0.613 I=1.3138138138138138
fraenti_s3 0.263 I=7.389689689689691
bone_marrow_fixLabels 0.731 I=1.126726726726727
fu_flame 0.841 I=5.367367367367367
coli_state 0.698 I=4.075575575575575
coli_find 0.394 I=9.474374374374374
coli_need 0.739 I=3.4252252252252253
coli_time 0.597 I=5.501001001001001
gionis_aggregation 0.543 I=1.1
veenman_r15 0.263 I=7.906406406406407
zahn_compound 0.578 I=6.186986986986988
synthetic_spirals 0.833 I=5.411911911911912
synthetic_cassini 0.726 I=4.601201201201201
twonorm_100d 0.833 I=8.05785785785786
twonorm_50d 0.833 I=9.144744744744745
synthetic_cuboid 0.635 I=4.182482482482483
astral1_161 0.651 I=2.32942942942943
tcga 0.806 I=5.296096096096097
bone_marrow 0.875 I=9.955455455455455
zachary 1.0 I=1.8483483483483483