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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=2
membexp=2.0
chang_pathbased 0.798 k=3
membexp=1.1
ppi_mips 1.0 k=25
membexp=2.0
chang_spiral 1.0 k=11
membexp=1.1
astral_40_strsim 1.0 k=83
membexp=5.0
astral_40_seqsim_beh 1.0 k=24
membexp=5.0
fraenti_s3 1.0 k=77
membexp=2.0
bone_marrow_fixLabels 1.0 k=7
membexp=5.0
fu_flame 1.0 k=9
membexp=5.0
coli_state 1.0 k=2
membexp=5.0
coli_find 1.0 k=8
membexp=5.0
coli_need 1.0 k=4
membexp=5.0
coli_time 1.0 k=6
membexp=2.0
gionis_aggregation 1.0 k=2
membexp=5.0
veenman_r15 1.0 k=16
membexp=5.0
zahn_compound 1.0 k=2
membexp=2.0
synthetic_spirals 1.0 k=6
membexp=2.0
synthetic_cassini 0.987 k=12
membexp=5.0
twonorm_100d 1.0 k=8
membexp=5.253333333333334
twonorm_50d 1.0 k=2
membexp=1.3966666666666667
synthetic_cuboid 1.0 k=7
membexp=1.1
astral1_161 1.0 k=8
membexp=5.0
tcga 1.0 k=27
membexp=2.0
bone_marrow 1.0 k=8
membexp=2.0
zachary 1.0 k=4
membexp=5.0