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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=1.2514514514514514
chang_pathbased 1.0 I=1.3405405405405406
ppi_mips 1.0 I=1.58998998998999
chang_spiral 1.0 I=6.026626626626627
astral_40_strsim 1.0 I=1.3405405405405406
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=4.52992992992993
bone_marrow_fixLabels 1.0 I=1.1979979979979982
fu_flame 1.0 I=2.4452452452452453
coli_state 1.0 I=2.8728728728728727
coli_find 1.0 I=3.3272272272272274
coli_need 1.0 I=8.636936936936937
coli_time 1.0 I=2.667967967967968
gionis_aggregation 1.0 I=2.5432432432432432
veenman_r15 1.0 I=8.583483483483484
zahn_compound 1.0 I=4.03993993993994
synthetic_spirals 1.0 I=6.872972972972973
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=3.157957957957958
zachary 1.0 I=1.9552552552552553