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=1.2514514514514514
chang_pathbased 1.0 I=5.278278278278278
ppi_mips 1.0 I=2.0354354354354354
chang_spiral 1.0 I=2.2848848848848853
astral_40_strsim 1.0 I=1.1356356356356356
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=3.2737737737737738
bone_marrow_fixLabels 1.0 I=1.126726726726727
fu_flame 1.0 I=5.643543543543543
coli_state 1.0 I=3.6835835835835837
coli_find 1.0 I=2.07997997997998
coli_need 1.0 I=2.3739739739739742
coli_time 1.0 I=5.091191191191191
gionis_aggregation 1.0 I=3.8172172172172174
veenman_r15 1.0 I=2.97977977977978
zahn_compound 1.0 I=7.487687687687688
synthetic_spirals 1.0 I=2.0354354354354354
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=1.9552552552552553