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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=55
membexp=1.1
chang_pathbased 1.0 k=124
membexp=2.0
ppi_mips 1.0 k=524
membexp=1.1
chang_spiral 1.0 k=145
membexp=5.0
astral_40_strsim 1.0 k=455
membexp=2.0
astral_40_seqsim_beh 1.0 k=436
membexp=5.0
fraenti_s3 1.0 k=318
membexp=5.0
bone_marrow_fixLabels 0.982 k=7
membexp=2.0
fu_flame 1.0 k=92
membexp=1.1
coli_state 1.0 k=71
membexp=2.0
coli_find 1.0 k=115
membexp=2.0
coli_need 1.0 k=44
membexp=1.1
coli_time 1.0 k=152
membexp=5.0
gionis_aggregation 1.0 k=193
membexp=2.0
veenman_r15 1.0 k=225
membexp=5.0
zahn_compound 1.0 k=121
membexp=2.0
synthetic_spirals 1.0 k=121
membexp=5.0
synthetic_cassini 1.0 k=60
membexp=5.0
twonorm_100d 1.0 k=200
membexp=8.516666666666667
twonorm_50d 1.0 k=94
membexp=4.363333333333333
synthetic_cuboid 1.0 k=120
membexp=1.1
astral1_161 1.0 k=169
membexp=1.1
tcga 1.0 k=123
membexp=1.1
bone_marrow 0.993 k=16
membexp=1.1
zachary 1.0 k=2
membexp=2.0