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 0.997 I=9.554554554554555
chang_pathbased 0.648 I=9.153653653653654
ppi_mips 0.993 I=3.9152152152152153
chang_spiral 0.0 I=5.153553553553553
astral_40_strsim 0.999 I=9.893093093093094
astral_40_seqsim_beh 0.999 I=9.93763763763764
fraenti_s3 0.0 I=8.76166166166166
bone_marrow_fixLabels 0.0 I=1.126726726726727
fu_flame 0.0 I=1.1356356356356356
coli_state 0.0 I=1.7592592592592593
coli_find 0.0 I=2.2581581581581585
coli_need 0.0 I=5.598998998998999
coli_time 0.0 I=4.351751751751752
gionis_aggregation 0.0 I=5.955355355355355
veenman_r15 0.0 I=3.6835835835835837
zahn_compound 0.0 I=2.2136136136136138
synthetic_spirals 0.5 I=8.432032032032032
synthetic_cassini 0.0 I=2.0532532532532537
twonorm_100d 0.0 I=4.307207207207207
twonorm_50d 0.0 I=3.647947947947948
synthetic_cuboid 0.0 I=2.8461461461461464
astral1_161 0.964 I=10.0
tcga 0.0 I=6.445345345345345
bone_marrow 0.659 I=9.93763763763764
zachary 1.0 I=4.93083083083083