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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 0.959 v=0.1
cutoff=40.413276917889476
haircut=F
fluff=T
chang_spiral 0.468 v=0.5
cutoff=26.519285435320466
haircut=F
fluff=F
astral_40_strsim 0.838 v=0.8
cutoff=7.278045333333334
haircut=T
fluff=T
astral_40_seqsim_beh 0.57 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F
fraenti_s3 0.445 v=0.9
cutoff=990229.4770188513
haircut=T
fluff=F
bone_marrow_fixLabels 0.0 v=0.0
cutoff=0.0
haircut=T
fluff=T
fu_flame 0.266 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T
coli_state 0.181 v=0.9
cutoff=0.994981836920697
haircut=F
fluff=T
coli_find 0.148 v=0.3
cutoff=0.9962111528482418
haircut=F
fluff=F
coli_time 0.125 v=0.0
cutoff=0.9946636013250642
haircut=T
fluff=T
gionis_aggregation 0.807 v=0.4
cutoff=30.728906496073773
haircut=F
fluff=T
veenman_r15 0.96 v=0.4
cutoff=12.781326418951116
haircut=T
fluff=F
zahn_compound 0.781 v=0.7
cutoff=29.11875484426756
haircut=F
fluff=T
synthetic_spirals 0.288 v=0.8
cutoff=3.036
haircut=F
fluff=F
synthetic_cassini 0.965 v=0.2
cutoff=1.6317525518227878
haircut=F
fluff=F
twonorm_100d 0.152 v=0.2
cutoff=4.552513269336507
haircut=T
fluff=F
twonorm_50d 0.242 v=0.6
cutoff=4.895619710727704
haircut=F
fluff=F
synthetic_cuboid 0.826 v=0.2
cutoff=0.7182950711516526
haircut=T
fluff=T