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 T=323.3062153431158
chang_pathbased 1.0 T=27.47773992902296
ppi_mips 1.0 T=1.0
chang_spiral 1.0 T=27.577326424374434
astral_40_strsim 1.0 T=10.53458814014014
astral_40_seqsim_beh 1.0 T=49.56872788974556
fraenti_s3 0.999 T=1080250.3385660197
bone_marrow_fixLabels 1.0 T=0.5228334623638808
fu_flame 1.0 T=14.5221002169289
coli_state 1.0 T=1.0000000000000002
coli_find 1.0 T=1.0000000000000002
coli_need 1.0 T=1.0000000000000002
coli_time 1.0 T=0.9997435964600633
gionis_aggregation 1.0 T=37.72754001288147
veenman_r15 1.0 T=13.929307961903591
zahn_compound 1.0 T=36.15567220745471
synthetic_spirals 1.0 T=3.20590990990991
synthetic_cassini 1.0 T=3.622196655577792
twonorm_100d 1.0 T=11.192164754244708
twonorm_50d 1.0 T=9.45310352551926
synthetic_cuboid 1.0 T=1.4307072997877308
astral1_161 1.0 T=328.7350429094973
tcga 1.0 T=0.5948677878891224
bone_marrow 1.0 T=0.5930739392001497
zachary 1.0 T=1.4714714714714714