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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 0.702 k=3
membexp=2.0
chang_pathbased 0.706 k=44
membexp=1.1
ppi_mips 0.907 k=528
membexp=1.1
chang_spiral 0.576 k=8
membexp=2.0
astral_40_strsim 0.617 k=219
membexp=2.0
astral_40_seqsim_beh 0.258 k=442
membexp=5.0
fraenti_s3 0.719 k=17
membexp=2.0
bone_marrow_fixLabels 0.944 k=2
membexp=2.0
fu_flame 0.776 k=3
membexp=2.0
coli_state 0.625 k=3
membexp=5.0
coli_find 0.356 k=8
membexp=1.1
coli_need 0.623 k=9
membexp=5.0
coli_time 0.513 k=5
membexp=2.0
gionis_aggregation 0.845 k=4
membexp=1.1
veenman_r15 0.982 k=18
membexp=2.0
zahn_compound 0.83 k=3
membexp=1.1
synthetic_spirals 0.706 k=2
membexp=5.0
synthetic_cassini 0.93 k=3
membexp=1.1
twonorm_100d 0.821 k=2
membexp=1.3966666666666667
twonorm_50d 0.951 k=2
membexp=1.99
synthetic_cuboid 1.0 k=4
membexp=1.1
astral1_161 0.413 k=46
membexp=2.0
tcga 0.926 k=2
membexp=5.0
bone_marrow 0.867 k=3
membexp=1.1
zachary 1.0 k=2
membexp=2.0