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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=1.2603603603603606
chang_pathbased 1.0 I=4.6813813813813825
ppi_mips 1.0 I=1.67017017017017
chang_spiral 1.0 I=3.0332332332332337
astral_40_strsim 1.0 I=1.2692692692692693
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=9.349649649649649
bone_marrow_fixLabels 1.0 I=1.1979979979979982
fu_flame 1.0 I=9.126926926926927
coli_state 1.0 I=2.659059059059059
coli_find 1.0 I=3.229229229229229
coli_need 1.0 I=1.108908908908909
coli_time 1.0 I=9.91981981981982
gionis_aggregation 1.0 I=9.875275275275275
veenman_r15 1.0 I=6.953153153153154
zahn_compound 1.0 I=4.102302302302303
synthetic_spirals 1.0 I=6.757157157157157
synthetic_cassini 1.0 I=5.242642642642642
twonorm_100d 1.0 I=5.367367367367367
twonorm_50d 1.0 I=2.2581581581581585
synthetic_cuboid 1.0 I=5.456456456456457
astral1_161 1.0 I=1.3405405405405406
tcga 1.0 I=4.904104104104105
bone_marrow 1.0 I=1.5187187187187188
zachary 1.0 I=1.2870870870870872