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 0.995 I=2.249249249249249
chang_pathbased 0.696 I=9.527827827827828
ppi_mips 0.993 I=3.7637637637637638
chang_spiral 0.331 I=6.899699699699701
astral_40_strsim 0.991 I=8.824024024024025
astral_40_seqsim_beh 0.991 I=1.5721721721721722
fraenti_s3 0.067 I=3.1935935935935937
bone_marrow_fixLabels 0.361 I=1.1979979979979982
fu_flame 0.536 I=3.2203203203203206
coli_state 0.391 I=6.694794794794795
coli_find 0.127 I=8.815115115115116
coli_need 0.387 I=8.628028028028028
coli_time 0.264 I=3.487587587587588
gionis_aggregation 0.217 I=3.8083083083083085
veenman_r15 0.065 I=6.258258258258258
zahn_compound 0.247 I=5.857357357357357
synthetic_spirals 0.498 I=8.984384384384384
synthetic_cassini 0.357 I=9.804004004004005
twonorm_100d 0.497 I=9.732732732732734
twonorm_50d 0.497 I=2.463063063063063
synthetic_cuboid 0.261 I=6.8462462462462454
astral1_161 0.852 I=8.628028028028028
tcga 0.554 I=4.235935935935936
bone_marrow 0.777 I=9.955455455455455
zachary 1.0 I=1.8483483483483483