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=28.790850139418414
astral_40_strsim 1.0 T=26.183478406406405
astral_40_seqsim_beh 1.0 T=74.81635097377485
fraenti_s3 0.999 T=1080250.3385660197
bone_marrow_fixLabels 1.0 T=0.4672518676499635
fu_flame 1.0 T=13.665251984393928
coli_state 1.0 T=0.9998794435296267
coli_find 1.0 T=1.0000000000000002
coli_need 1.0 T=0.9998602584205872
coli_time 1.0 T=0.9997435964600633
gionis_aggregation 1.0 T=37.92181158864295
veenman_r15 1.0 T=13.901393517090158
zahn_compound 1.0 T=36.4134010317441
synthetic_spirals 1.0 T=2.940684684684685
synthetic_cassini 1.0 T=3.7946822106053055
twonorm_100d 1.0 T=10.226065842233355
twonorm_50d 1.0 T=14.084095143775198
synthetic_cuboid 1.0 T=1.5075764419912383
astral1_161 1.0 T=335.3585485460619
tcga 1.0 T=0.7842563711603194
bone_marrow 1.0 T=0.5497080795881923
zachary 1.0 T=2.165165165165165