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 1.0 I=1.4207207207207209
chang_pathbased 1.0 I=8.27167167167167
ppi_mips 1.0 I=1.8750750750750753
chang_spiral 1.0 I=5.429729729729731
astral_40_strsim 1.0 I=1.1979979979979982
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=3.5321321321321326
bone_marrow_fixLabels 1.0 I=1.1712712712712714
fu_flame 1.0 I=2.6768768768768765
coli_state 1.0 I=7.336236236236235
coli_find 1.0 I=9.91091091091091
coli_need 1.0 I=7.55005005005005
coli_time 1.0 I=1.1623623623623625
gionis_aggregation 1.0 I=5.919719719719721
veenman_r15 1.0 I=8.743843843843845
zahn_compound 1.0 I=6.480980980980981
synthetic_spirals 1.0 I=8.253853853853855
synthetic_cassini 1.0 I=1.5276276276276277
twonorm_100d 1.0 I=8.12912912912913
twonorm_50d 1.0 I=4.725925925925926
synthetic_cuboid 1.0 I=6.133533533533533
astral1_161 1.0 I=1.3672672672672674
tcga 1.0 I=2.65015015015015
bone_marrow 1.0 I=4.03993993993994
zachary 1.0 I=1.9552552552552553