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=2.1512512512512516
chang_pathbased 0.647 I=9.02002002002002
ppi_mips 0.839 I=5.429729729729731
chang_spiral 0.576 I=7.1313313313313325
astral_40_strsim 0.466 I=4.85955955955956
astral_40_seqsim_beh 0.514 I=1.491991991991992
fraenti_s3 0.258 I=7.184784784784785
bone_marrow_fixLabels 0.601 I=1.126726726726727
fu_flame 0.732 I=6.097897897897899
coli_state 0.625 I=7.443143143143144
coli_find 0.356 I=1.8661661661661664
coli_need 0.622 I=1.794894894894895
coli_time 0.513 I=7.754954954954956
gionis_aggregation 0.465 I=1.1
veenman_r15 0.255 I=7.22932932932933
zahn_compound 0.497 I=9.118018018018018
synthetic_spirals 0.706 I=5.411911911911912
synthetic_cassini 0.598 I=7.247147147147147
twonorm_100d 0.705 I=4.146846846846848
twonorm_50d 0.705 I=8.76166166166166
synthetic_cuboid 0.511 I=4.494294294294295
astral1_161 0.465 I=2.32942942942943
tcga 0.744 I=5.296096096096097
bone_marrow 0.783 I=9.955455455455455
zachary 1.0 I=1.8483483483483483