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 0.988 I=2.1957957957957963
chang_pathbased 0.647 I=9.821821821821821
ppi_mips 0.839 I=3.63013013013013
chang_spiral 0.576 I=9.305105105105104
astral_40_strsim 0.466 I=4.85955955955956
astral_40_seqsim_beh 0.514 I=1.385085085085085
fraenti_s3 0.258 I=9.296196196196195
bone_marrow_fixLabels 0.601 I=1.1
fu_flame 0.732 I=2.3472472472472474
coli_state 0.625 I=4.387387387387387
coli_find 0.356 I=8.031131131131131
coli_need 0.622 I=1.108908908908909
coli_time 0.513 I=2.908508508508509
gionis_aggregation 0.465 I=1.2247247247247248
veenman_r15 0.255 I=1.9552552552552553
zahn_compound 0.497 I=5.162462462462463
synthetic_spirals 0.706 I=4.351751751751752
synthetic_cassini 0.598 I=5.126826826826828
twonorm_100d 0.705 I=3.1668668668668674
twonorm_50d 0.705 I=2.3472472472472474
synthetic_cuboid 0.511 I=7.095695695695696
astral1_161 0.465 I=2.365065065065065
tcga 0.744 I=1.2336336336336338
bone_marrow 0.783 I=9.955455455455455
zachary 1.0 I=1.8483483483483483