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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=1.117817817817818
chang_pathbased 1.0 I=5.162462462462463
ppi_mips 1.0 I=1.3227227227227227
chang_spiral 1.0 I=9.634734734734735
astral_40_strsim 1.0 I=1.2692692692692693
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=7.7994994994995
bone_marrow_fixLabels 1.0 I=1.1979979979979982
fu_flame 1.0 I=5.313913913913915
coli_state 1.0 I=6.685885885885886
coli_find 1.0 I=3.6212212212212216
coli_need 1.0 I=8.636936936936937
coli_time 1.0 I=1.1
gionis_aggregation 1.0 I=8.37857857857858
veenman_r15 1.0 I=4.761561561561562
zahn_compound 1.0 I=9.403103103103104
synthetic_spirals 1.0 I=8.20930930930931
synthetic_cassini 1.0 I=2.8817817817817817
twonorm_100d 1.0 I=5.581181181181181
twonorm_50d 1.0 I=9.10910910910911
synthetic_cuboid 1.0 I=7.986586586586587
astral1_161 1.0 I=1.108908908908909
tcga 1.0 I=8.44094094094094
bone_marrow 1.0 I=8.396396396396396
zachary 1.0 I=1.9552552552552553