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 0.948 I=1.67017017017017
chang_pathbased 0.742 I=9.955455455455455
ppi_mips 0.888 I=4.966466466466467
chang_spiral 0.714 I=5.42082082082082
astral_40_strsim 0.675 I=4.494294294294295
astral_40_seqsim_beh 0.613 I=1.3138138138138138
fraenti_s3 0.263 I=9.296196196196195
bone_marrow_fixLabels 0.731 I=1.1979979979979982
fu_flame 0.841 I=2.400700700700701
coli_state 0.698 I=1.2959959959959961
coli_find 0.394 I=8.77947947947948
coli_need 0.739 I=9.866366366366366
coli_time 0.597 I=9.91981981981982
gionis_aggregation 0.543 I=9.875275275275275
veenman_r15 0.263 I=1.1801801801801801
zahn_compound 0.578 I=9.857457457457457
synthetic_spirals 0.833 I=6.81951951951952
synthetic_cassini 0.726 I=1.821621621621622
twonorm_100d 0.833 I=3.5054054054054054
twonorm_50d 0.833 I=6.614614614614615
synthetic_cuboid 0.635 I=2.1868868868868865
astral1_161 0.651 I=2.3561561561561564
tcga 0.806 I=3.719219219219219
bone_marrow 0.875 I=9.93763763763764
zachary 1.0 I=1.8483483483483483