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 0.976 I=2.1868868868868865
chang_pathbased 0.464 I=9.492192192192192
ppi_mips 0.705 I=5.429729729729731
chang_spiral 0.331 I=8.984384384384384
astral_40_strsim 0.294 I=6.4008008008008
astral_40_seqsim_beh 0.332 I=1.402902902902903
fraenti_s3 0.067 I=5.6613613613613625
bone_marrow_fixLabels 0.361 I=1.1979979979979982
fu_flame 0.536 I=1.6256256256256256
coli_state 0.391 I=6.766066066066067
coli_find 0.127 I=6.231531531531533
coli_need 0.387 I=2.6234234234234237
coli_time 0.264 I=1.1
gionis_aggregation 0.217 I=5.3406406406406415
veenman_r15 0.065 I=3.7103103103103106
zahn_compound 0.247 I=6.391891891891892
synthetic_spirals 0.498 I=1.3761761761761764
synthetic_cassini 0.357 I=5.6613613613613625
twonorm_100d 0.497 I=8.6992992992993
twonorm_50d 0.497 I=6.953153153153154
synthetic_cuboid 0.261 I=6.801701701701702
astral1_161 0.295 I=3.443043043043043
tcga 0.554 I=1.2336336336336338
bone_marrow 0.62 I=9.955455455455455
zachary 1.0 I=1.8483483483483483