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=1.7058058058058059
chang_pathbased 0.742 I=9.688188188188189
ppi_mips 0.888 I=4.396296296296296
chang_spiral 0.714 I=6.00880880880881
astral_40_strsim 0.675 I=4.494294294294295
astral_40_seqsim_beh 0.613 I=1.3138138138138138
fraenti_s3 0.263 I=9.002202202202202
bone_marrow_fixLabels 0.731 I=1.1979979979979982
fu_flame 0.841 I=2.632332332332332
coli_state 0.698 I=9.74164164164164
coli_find 0.394 I=1.206906906906907
coli_need 0.739 I=1.108908908908909
coli_time 0.597 I=1.1
gionis_aggregation 0.543 I=6.427527527527528
veenman_r15 0.263 I=9.091291291291292
zahn_compound 0.578 I=1.5187187187187188
synthetic_spirals 0.833 I=6.053353353353354
synthetic_cassini 0.726 I=7.701501501501503
twonorm_100d 0.833 I=5.251551551551553
twonorm_50d 0.833 I=7.006606606606607
synthetic_cuboid 0.635 I=4.458658658658659
astral1_161 0.651 I=2.32942942942943
tcga 0.806 I=2.578878878878879
bone_marrow 0.875 I=9.964364364364364
zachary 1.0 I=1.8661661661661664