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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=54
membexp=5.0
chang_pathbased 1.0 k=78
membexp=2.0
ppi_mips 1.0 k=492
membexp=5.0
chang_spiral 1.0 k=119
membexp=5.0
astral_40_strsim 1.0 k=332
membexp=2.0
astral_40_seqsim_beh 1.0 k=360
membexp=2.0
fraenti_s3 1.0 k=664
membexp=5.0
bone_marrow_fixLabels 0.982 k=7
membexp=2.0
fu_flame 1.0 k=96
membexp=1.1
coli_state 1.0 k=60
membexp=1.1
coli_find 1.0 k=141
membexp=1.1
coli_need 1.0 k=22
membexp=2.0
coli_time 1.0 k=179
membexp=1.1
gionis_aggregation 1.0 k=248
membexp=2.0
veenman_r15 1.0 k=147
membexp=2.0
zahn_compound 1.0 k=123
membexp=5.0
synthetic_spirals 1.0 k=92
membexp=1.1
synthetic_cassini 1.0 k=107
membexp=1.1
twonorm_100d 1.0 k=15
membexp=8.813333333333333
twonorm_50d 1.0 k=28
membexp=5.253333333333334
synthetic_cuboid 1.0 k=64
membexp=5.0
astral1_161 1.0 k=201
membexp=1.1
tcga 1.0 k=126
membexp=1.1
bone_marrow 0.993 k=18
membexp=1.1
zachary 1.0 k=26
membexp=2.0