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=28.59209864546146
ppi_mips 1.0 T=1.0
chang_spiral 1.0 T=27.516650238622233
astral_40_strsim 1.0 T=9.616636476476478
astral_40_seqsim_beh 1.0 T=3.8218878980411297
fraenti_s3 0.999 T=1080250.3385660197
bone_marrow_fixLabels 1.0 T=0.4232752212829082
fu_flame 1.0 T=14.610739689260104
coli_state 1.0 T=0.9995177741185056
coli_find 1.0 T=1.0000000000000002
coli_need 1.0 T=0.9999301292102937
coli_time 1.0 T=0.9997435964600633
gionis_aggregation 1.0 T=37.92181158864295
veenman_r15 1.0 T=13.943265184310308
zahn_compound 1.0 T=35.41930413805645
synthetic_spirals 1.0 T=3.3053693693693695
synthetic_cassini 1.0 T=3.5359538780640345
twonorm_100d 1.0 T=13.598297893593731
twonorm_50d 1.0 T=13.393121791210024
synthetic_cuboid 1.0 T=1.2126499372104342
astral1_161 1.0 T=225.54779720301667
tcga 1.0 T=0.6537069593908535
bone_marrow 1.0 T=0.4849646835478053
zachary 1.0 T=4.911911911911912