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=38.8355814225965
chang_pathbased 1.0 T=11.788742210744108
ppi_mips 1.0 T=0.004004004004004004
chang_spiral 1.0 T=6.340661411104794
astral_40_strsim 1.0 T=0.17484793593593595
astral_40_seqsim_beh 0.985 T=4.28514703719763
fraenti_s3 1.0 T=218428.9973877237
bone_marrow_fixLabels 1.0 T=0.04519821987725138
fu_flame 1.0 T=3.131928022369203
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=4.602300433739144
synthetic_spirals 1.0 T=0.7989909909909911
synthetic_cassini 1.0 T=0.7801051238744378
twonorm_100d 1.0 T=0.34633734581538994
twonorm_50d 1.0 T=2.30814502878153
synthetic_cuboid 1.0 T=0.8816419983341061
astral1_161 0.996 T=4.1832667178302945
tcga 1.0 T=0.4557376636089876
bone_marrow 1.0 T=0.10444453512175655
zachary 1.0 T=0.014014014014014014