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=1.3761761761761764
chang_pathbased 1.0 I=3.2114114114114116
ppi_mips 1.0 I=1.411811811811812
chang_spiral 1.0 I=5.456456456456457
astral_40_strsim 1.0 I=1.2692692692692693
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=6.204804804804805
bone_marrow_fixLabels 1.0 I=1.1979979979979982
fu_flame 1.0 I=6.908608608608609
coli_state 1.0 I=9.652552552552553
coli_find 1.0 I=9.322922922922924
coli_need 1.0 I=1.7147147147147148
coli_time 1.0 I=7.327327327327327
gionis_aggregation 1.0 I=2.721421421421421
veenman_r15 1.0 I=1.5543543543543545
zahn_compound 1.0 I=3.87957957957958
synthetic_spirals 1.0 I=4.431931931931932
synthetic_cassini 1.0 I=9.35855855855856
twonorm_100d 1.0 I=7.879679679679681
twonorm_50d 1.0 I=5.6880880880880875
synthetic_cuboid 1.0 I=4.7081081081081075
astral1_161 1.0 I=1.117817817817818
tcga 1.0 I=7.095695695695696
bone_marrow 1.0 I=8.77947947947948
zachary 1.0 I=1.58998998998999