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=27.213812864603312
ppi_mips 1.0 T=1.0
chang_spiral 1.0 T=28.214426374772525
astral_40_strsim 1.0 T=13.725562970970973
astral_40_seqsim_beh 1.0 T=85.47131117437436
fraenti_s3 0.999 T=1080250.3385660197
bone_marrow_fixLabels 1.0 T=0.5527620133636824
fu_flame 1.0 T=14.699379161591306
coli_state 1.0 T=0.999758887059253
coli_find 1.0 T=1.0000000000000002
coli_need 1.0 T=0.9997903876308808
coli_time 1.0 T=0.9997435964600633
gionis_aggregation 1.0 T=35.66826130980967
veenman_r15 1.0 T=13.929307961903591
zahn_compound 1.0 T=35.78748817275558
synthetic_spirals 1.0 T=3.20590990990991
synthetic_cassini 1.0 T=3.7946822106053055
twonorm_100d 1.0 T=16.314311816040735
twonorm_50d 1.0 T=13.187299941509762
synthetic_cuboid 1.0 T=1.261281435339184
astral1_161 1.0 T=101.09561234756544
tcga 1.0 T=0.8099985086923268
bone_marrow 1.0 T=0.4886294040783932
zachary 1.0 T=1.5975975975975976