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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 0.995 v=0.1
cutoff=40.413276917889476
haircut=T
fluff=F
chang_spiral 1.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=T
astral_40_strsim 0.976 v=0.4
cutoff=3.639022666666667
haircut=T
fluff=F
astral_40_seqsim_beh 0.68 v=0.9
cutoff=4.820790416847334
haircut=T
fluff=F
fraenti_s3 0.586 v=0.0
cutoff=990229.4770188513
haircut=T
fluff=F
bone_marrow_fixLabels 0.0 v=0.0
cutoff=0.0
haircut=T
fluff=T
fu_flame 0.991 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T
coli_state 0.789 v=0.9
cutoff=0.994981836920697
haircut=F
fluff=T
coli_find 0.734 v=0.8
cutoff=0.9962111528482418
haircut=T
fluff=T
coli_time 0.716 v=0.0
cutoff=0.9946636013250642
haircut=T
fluff=F
gionis_aggregation 1.0 v=0.7
cutoff=35.58083910071699
haircut=T
fluff=T
veenman_r15 0.999 v=0.9
cutoff=13.36229580163071
haircut=T
fluff=T
zahn_compound 0.996 v=0.1
cutoff=32.183886933137835
haircut=F
fluff=T
synthetic_spirals 0.999 v=0.7
cutoff=3.036
haircut=F
fluff=T
synthetic_cassini 0.999 v=0.9
cutoff=3.589855614010133
haircut=T
fluff=T
twonorm_100d 0.937 v=0.3
cutoff=4.552513269336507
haircut=F
fluff=F
twonorm_50d 0.948 v=0.1
cutoff=4.895619710727704
haircut=T
fluff=F
synthetic_cuboid 1.0 v=0.4
cutoff=1.3059910384575504
haircut=T
fluff=F