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Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
brown 1.0 I=1.3494494494494496
chang_pathbased 1.0 I=4.431931931931932
ppi_mips 1.0 I=2.2403403403403406
chang_spiral 1.0 I=4.057757757757758
astral_40_strsim 1.0 I=1.1356356356356356
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=3.3628628628628627
bone_marrow_fixLabels 1.0 I=1.126726726726727
fu_flame 1.0 I=6.623523523523523
coli_state 1.0 I=5.937537537537538
coli_find 1.0 I=8.351851851851851
coli_need 1.0 I=2.3739739739739742
coli_time 1.0 I=5.474274274274276
gionis_aggregation 1.0 I=2.5432432432432432
veenman_r15 1.0 I=1.6612612612612614
zahn_compound 1.0 I=7.238238238238238
synthetic_spirals 1.0 I=5.135735735735736
synthetic_cassini 1.0 I=5.554454454454454
twonorm_100d 1.0 I=5.750450450450451
twonorm_50d 1.0 I=4.111211211211211
synthetic_cuboid 1.0 I=5.331731731731732
astral1_161 1.0 I=1.117817817817818
tcga 1.0 I=4.084484484484484
bone_marrow 1.0 I=4.084484484484484
zachary 1.0 I=1.9552552552552553