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=1.1730091751984189
ppi_mips 1.0 T=0.008008008008008008
chang_spiral 1.0 T=5.30916625331741
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=0.1526966887744979
fu_flame 1.0 T=2.8807828507641253
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=13.32826205610856
synthetic_spirals 1.0 T=0.43762162162162166
synthetic_cassini 1.0 T=0.5684183063406708
twonorm_100d 1.0 T=0.5650767221198467
twonorm_50d 1.0 T=2.0435169363097625
synthetic_cuboid 1.0 T=0.9145859164213236
astral1_161 0.996 T=4.1832667178302945
tcga 1.0 T=0.42938261804050387
bone_marrow 1.0 T=0.0794022781627389
zachary 1.0 T=0.014014014014014014