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 0.923 I=2.1512512512512516
chang_pathbased 0.65 I=9.02002002002002
ppi_mips 0.821 I=5.429729729729731
chang_spiral 0.5 I=7.006606606606607
astral_40_strsim 0.645 I=4.61011011011011
astral_40_seqsim_beh 0.649 I=1.3138138138138138
fraenti_s3 0.125 I=7.30950950950951
bone_marrow_fixLabels 0.537 I=1.126726726726727
fu_flame 0.689 I=9.233833833833835
coli_state 0.53 I=7.184784784784785
coli_find 0.221 I=7.6480480480480475
coli_need 0.55 I=2.097797797797798
coli_time 0.403 I=3.567767767767768
gionis_aggregation 0.345 I=4.102302302302303
veenman_r15 0.125 I=8.904204204204206
zahn_compound 0.381 I=4.52992992992993
synthetic_spirals 0.667 I=5.696996996996998
synthetic_cassini 0.524 I=7.407507507507508
twonorm_100d 0.667 I=7.033333333333334
twonorm_50d 0.667 I=7.995495495495495
synthetic_cuboid 0.415 I=6.694794794794795
astral1_161 0.596 I=3.5232232232232237
tcga 0.678 I=5.296096096096097
bone_marrow 0.783 I=9.955455455455455
zachary 1.0 I=1.8483483483483483