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=1.4741741741741743
chang_pathbased 1.0 I=7.594594594594595
ppi_mips 1.0 I=2.1868868868868865
chang_spiral 1.0 I=7.995495495495495
astral_40_strsim 1.0 I=1.2692692692692693
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=3.63013013013013
bone_marrow_fixLabels 1.0 I=1.1979979979979982
fu_flame 1.0 I=5.777177177177177
coli_state 1.0 I=3.6034034034034037
coli_find 1.0 I=3.6212212212212216
coli_need 1.0 I=2.3739739739739742
coli_time 1.0 I=1.1
gionis_aggregation 1.0 I=8.628028028028028
veenman_r15 1.0 I=1.1801801801801801
zahn_compound 1.0 I=9.492192192192192
synthetic_spirals 1.0 I=8.20930930930931
synthetic_cassini 1.0 I=2.8817817817817817
twonorm_100d 1.0 I=5.581181181181181
twonorm_50d 1.0 I=4.467567567567568
synthetic_cuboid 1.0 I=2.4452452452452453
astral1_161 1.0 I=1.1534534534534537
tcga 1.0 I=2.2848848848848853
bone_marrow 1.0 I=5.117917917917918
zachary 1.0 I=1.9552552552552553