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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=70
membexp=5.0
chang_pathbased 1.0 k=137
membexp=5.0
ppi_mips 1.0 k=429
membexp=2.0
chang_spiral 1.0 k=59
membexp=2.0
astral_40_strsim 1.0 k=317
membexp=1.1
astral_40_seqsim_beh 1.0 k=209
membexp=5.0
fraenti_s3 1.0 k=272
membexp=5.0
bone_marrow_fixLabels 0.982 k=7
membexp=2.0
fu_flame 1.0 k=110
membexp=2.0
coli_state 1.0 k=48
membexp=1.1
coli_find 1.0 k=182
membexp=1.1
coli_need 1.0 k=39
membexp=5.0
coli_time 1.0 k=198
membexp=5.0
gionis_aggregation 1.0 k=250
membexp=1.1
veenman_r15 1.0 k=272
membexp=2.0
zahn_compound 1.0 k=170
membexp=2.0
synthetic_spirals 1.0 k=115
membexp=1.1
synthetic_cassini 1.0 k=115
membexp=2.0
twonorm_100d 1.0 k=8
membexp=8.813333333333333
twonorm_50d 1.0 k=48
membexp=3.7700000000000005
synthetic_cuboid 1.0 k=113
membexp=2.0
astral1_161 1.0 k=122
membexp=1.1
tcga 1.0 k=126
membexp=1.1
bone_marrow 0.993 k=16
membexp=1.1
zachary 1.0 k=26
membexp=2.0