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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=1.1712712712712714
chang_pathbased 1.0 I=7.068968968968969
ppi_mips 1.0 I=1.2692692692692693
chang_spiral 1.0 I=8.27167167167167
astral_40_strsim 1.0 I=1.2692692692692693
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=8.636936936936937
bone_marrow_fixLabels 1.0 I=1.1979979979979982
fu_flame 1.0 I=5.581181181181181
coli_state 1.0 I=5.474274274274276
coli_find 1.0 I=4.841741741741742
coli_need 1.0 I=2.3739739739739742
coli_time 1.0 I=5.8306306306306315
gionis_aggregation 1.0 I=9.643643643643644
veenman_r15 1.0 I=1.3761761761761764
zahn_compound 1.0 I=7.389689689689691
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=9.955455455455455
synthetic_cuboid 1.0 I=5.492092092092093
astral1_161 1.0 I=1.1890890890890893
tcga 1.0 I=5.803903903903905
bone_marrow 1.0 I=1.491991991991992
zachary 1.0 I=1.9552552552552553