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=2.1512512512512516
chang_pathbased 0.464 I=9.03783783783784
ppi_mips 0.705 I=5.456456456456457
chang_spiral 0.331 I=6.997697697697698
astral_40_strsim 0.294 I=6.4008008008008
astral_40_seqsim_beh 0.332 I=1.402902902902903
fraenti_s3 0.067 I=3.933033033033033
bone_marrow_fixLabels 0.361 I=1.126726726726727
fu_flame 0.536 I=4.048848848848849
coli_state 0.391 I=2.071071071071071
coli_find 0.127 I=2.418518518518519
coli_need 0.387 I=4.921921921921922
coli_time 0.264 I=6.258258258258258
gionis_aggregation 0.217 I=7.006606606606607
veenman_r15 0.065 I=7.6302302302302305
zahn_compound 0.247 I=7.7905905905905914
synthetic_spirals 0.498 I=5.598998998998999
synthetic_cassini 0.357 I=6.3206206206206215
twonorm_100d 0.497 I=9.296196196196195
twonorm_50d 0.497 I=9.732732732732734
synthetic_cuboid 0.261 I=4.503203203203204
astral1_161 0.295 I=3.443043043043043
tcga 0.554 I=5.153553553553553
bone_marrow 0.62 I=9.955455455455455
zachary 1.0 I=1.8483483483483483