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=2.204704704704705
chang_pathbased 0.696 I=9.011111111111111
ppi_mips 0.993 I=4.841741741741742
chang_spiral 0.331 I=3.1312312312312316
astral_40_strsim 0.991 I=8.824024024024025
astral_40_seqsim_beh 0.991 I=1.5721721721721722
fraenti_s3 0.067 I=6.578978978978979
bone_marrow_fixLabels 0.361 I=1.117817817817818
fu_flame 0.536 I=9.198198198198199
coli_state 0.391 I=6.881881881881882
coli_find 0.127 I=4.022122122122123
coli_need 0.387 I=9.118018018018018
coli_time 0.264 I=6.365165165165166
gionis_aggregation 0.217 I=8.832932932932934
veenman_r15 0.065 I=4.262662662662662
zahn_compound 0.247 I=3.380680680680681
synthetic_spirals 0.498 I=8.432032032032032
synthetic_cassini 0.357 I=5.803903903903905
twonorm_100d 0.497 I=5.8484484484484485
twonorm_50d 0.497 I=5.9998998998999
synthetic_cuboid 0.261 I=1.1623623623623625
astral1_161 0.852 I=8.628028028028028
tcga 0.554 I=3.149049049049049
bone_marrow 0.777 I=9.955455455455455
zachary 1.0 I=1.8305305305305308