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=28.15579653138246
chang_pathbased 1.0 T=5.806395417232173
ppi_mips 1.0 T=0.014014014014014014
chang_spiral 1.0 T=12.347603800572491
astral_40_strsim 1.0 T=0.17484793593593595
astral_40_seqsim_beh 0.985 T=4.28514703719763
fraenti_s3 1.0 T=445508.64813733747
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=9.094145657068546
synthetic_spirals 1.0 T=0.7625225225225226
synthetic_cassini 1.0 T=0.9917919414082049
twonorm_100d 1.0 T=1.4764907900550834
twonorm_50d 1.0 T=2.484563757096042
synthetic_cuboid 1.0 T=0.1960947505191517
astral1_161 0.996 T=4.1832667178302945
tcga 1.0 T=0.4784152609586131
bone_marrow 1.0 T=0.0794022781627389
zachary 1.0 T=0.014014014014014014