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=22.977719008369593
chang_pathbased 1.0 T=6.158298169791698
ppi_mips 1.0 T=0.004004004004004004
chang_spiral 1.0 T=2.062990315574765
astral_40_strsim 1.0 T=0.17484793593593595
astral_40_seqsim_beh 0.985 T=4.28514703719763
fraenti_s3 1.0 T=469297.9448825351
bone_marrow_fixLabels 1.0 T=0.17468501195802558
fu_flame 1.0 T=1.5068710296304657
coli_state 1.0 T=0.9034342672307057
coli_find 1.0 T=0.9220840081223973
coli_need 1.0 T=0.9421469861230324
coli_time 1.0 T=0.9124381911115599
gionis_aggregation 1.0 T=18.028402230666327
veenman_r15 1.0 T=8.709306781791424
zahn_compound 1.0 T=22.31195250276737
synthetic_spirals 1.0 T=0.9282882882882885
synthetic_cassini 1.0 T=1.0270730776638328
twonorm_100d 1.0 T=0.7473595357068941
twonorm_50d 1.0 T=2.6021762426390502
synthetic_cuboid 1.0 T=0.8392855322219693
astral1_161 0.996 T=4.1832667178302945
tcga 1.0 T=0.4692216404114676
bone_marrow 1.0 T=0.1526966887744979
zachary 1.0 T=0.014014014014014014