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=28.59209864546146
ppi_mips 1.0 T=1.0
chang_spiral 1.0 T=28.790850139418414
astral_40_strsim 1.0 T=11.146555915915915
astral_40_seqsim_beh 1.0 T=4.169332252408505
fraenti_s3 0.999 T=1080250.3385660197
bone_marrow_fixLabels 1.0 T=0.4055624053850664
fu_flame 1.0 T=13.44365330356592
coli_state 1.0 T=0.9992766611777584
coli_find 1.0 T=1.0000000000000002
coli_need 1.0 T=0.9997903876308808
coli_time 1.0 T=0.9997435964600633
gionis_aggregation 1.0 T=38.07722884925215
veenman_r15 1.0 T=13.88743629468344
zahn_compound 1.0 T=36.59749304909367
synthetic_spirals 1.0 T=3.1992792792792795
synthetic_cassini 1.0 T=3.7946822106053055
twonorm_100d 1.0 T=10.463033499896516
twonorm_50d 1.0 T=12.79035780280211
synthetic_cuboid 1.0 T=1.408744687729586
astral1_161 1.0 T=143.27688508568758
tcga 1.0 T=0.7732240265037448
bone_marrow 1.0 T=0.4886294040783932
zachary 1.0 T=5.514514514514515