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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=1.3761761761761764
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=1.3227227227227227
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=7.496596596596597
bone_marrow_fixLabels 1.0 I=1.1979979979979982
fu_flame 1.0 I=5.367367367367367
coli_state 1.0 I=7.924224224224226
coli_find 1.0 I=9.821821821821821
coli_need 1.0 I=1.7147147147147148
coli_time 1.0 I=3.1045045045045048
gionis_aggregation 1.0 I=7.362962962962963
veenman_r15 1.0 I=1.5543543543543545
zahn_compound 1.0 I=4.431931931931932
synthetic_spirals 1.0 I=5.875175175175176
synthetic_cassini 1.0 I=4.806106106106106
twonorm_100d 1.0 I=4.342842842842843
twonorm_50d 1.0 I=6.088988988988989
synthetic_cuboid 1.0 I=3.2737737737737738
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