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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=1.411811811811812
chang_pathbased 1.0 I=5.233733733733733
ppi_mips 1.0 I=1.2781781781781782
chang_spiral 1.0 I=4.031031031031031
astral_40_strsim 1.0 I=1.108908908908909
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=9.812912912912914
bone_marrow_fixLabels 1.0 I=1.126726726726727
fu_flame 1.0 I=2.07997997997998
coli_state 1.0 I=9.046746746746747
coli_find 1.0 I=6.463163163163164
coli_need 1.0 I=9.233833833833835
coli_time 1.0 I=6.997697697697698
gionis_aggregation 1.0 I=3.8083083083083085
veenman_r15 1.0 I=5.492092092092093
zahn_compound 1.0 I=1.3761761761761764
synthetic_spirals 1.0 I=6.445345345345345
synthetic_cassini 1.0 I=2.16016016016016
twonorm_100d 1.0 I=4.619019019019019
twonorm_50d 1.0 I=2.5254254254254254
synthetic_cuboid 1.0 I=8.45875875875876
astral1_161 1.0 I=1.7592592592592593
tcga 1.0 I=2.739239239239239
bone_marrow 1.0 I=4.084484484484484
zachary 1.0 I=1.9552552552552553