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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 k=100
membexp=1.1
chang_pathbased 1.0 k=142
membexp=2.0
ppi_mips 1.0 k=159
membexp=1.1
chang_spiral 1.0 k=53
membexp=1.1
astral_40_strsim 1.0 k=1048
membexp=2.0
astral_40_seqsim_beh 1.0 k=455
membexp=1.1
fraenti_s3 1.0 k=649
membexp=1.1
bone_marrow_fixLabels 0.982 k=7
membexp=2.0
fu_flame 1.0 k=105
membexp=2.0
coli_state 1.0 k=88
membexp=2.0
coli_find 1.0 k=80
membexp=5.0
coli_need 1.0 k=37
membexp=5.0
coli_time 1.0 k=127
membexp=1.1
gionis_aggregation 1.0 k=181
membexp=1.1
veenman_r15 1.0 k=275
membexp=1.1
zahn_compound 1.0 k=175
membexp=2.0
synthetic_spirals 1.0 k=102
membexp=5.0
synthetic_cassini 1.0 k=250
membexp=5.0
twonorm_100d 1.0 k=74
membexp=3.176666666666667
twonorm_50d 1.0 k=200
membexp=8.516666666666667
synthetic_cuboid 1.0 k=93
membexp=2.0
astral1_161 1.0 k=105
membexp=2.0
tcga 1.0 k=24
membexp=1.1
bone_marrow 0.993 k=18
membexp=1.1
zachary 1.0 k=12
membexp=1.1