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=1.3494494494494496
chang_pathbased 1.0 I=1.5632632632632633
ppi_mips 1.0 I=2.0354354354354354
chang_spiral 1.0 I=1.2870870870870872
astral_40_strsim 1.0 I=1.411811811811812
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=6.195895895895896
bone_marrow_fixLabels 1.0 I=1.126726726726727
fu_flame 1.0 I=1.1356356356356356
coli_state 1.0 I=2.1868868868868865
coli_find 1.0 I=9.1002002002002
coli_need 1.0 I=8.636936936936937
coli_time 1.0 I=6.587887887887889
gionis_aggregation 1.0 I=1.1
veenman_r15 1.0 I=4.645745745745746
zahn_compound 1.0 I=4.057757757757758
synthetic_spirals 1.0 I=5.8306306306306315
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