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 I=1.491991991991992
chang_pathbased 1.0 I=1.3405405405405406
ppi_mips 1.0 I=1.9196196196196198
chang_spiral 1.0 I=5.011011011011011
astral_40_strsim 1.0 I=1.3405405405405406
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=9.982182182182182
bone_marrow_fixLabels 1.0 I=1.1979979979979982
fu_flame 1.0 I=2.4452452452452453
coli_state 1.0 I=2.578878878878879
coli_find 1.0 I=7.247147147147147
coli_need 1.0 I=8.636936936936937
coli_time 1.0 I=6.783883883883885
gionis_aggregation 1.0 I=2.5432432432432432
veenman_r15 1.0 I=7.086786786786788
zahn_compound 1.0 I=7.3184184184184184
synthetic_spirals 1.0 I=6.864064064064065
synthetic_cassini 1.0 I=5.554454454454454
twonorm_100d 1.0 I=5.750450450450451
twonorm_50d 1.0 I=4.111211211211211
synthetic_cuboid 1.0 I=5.331731731731732
astral1_161 1.0 I=1.117817817817818
tcga 1.0 I=4.084484484484484
bone_marrow 1.0 I=4.084484484484484
zachary 1.0 I=1.9730730730730732