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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 0.931 v=0.1
cutoff=40.413276917889476
haircut=F
fluff=T
chang_spiral 0.484 v=0.3
cutoff=17.679523623546974
haircut=T
fluff=T
astral_40_strsim 0.755 v=0.4
cutoff=7.278045333333334
haircut=F
fluff=F
astral_40_seqsim_beh 0.463 v=0.9
cutoff=4.820790416847334
haircut=T
fluff=F
fraenti_s3 0.347 v=0.9
cutoff=990229.4770188513
haircut=T
fluff=F
bone_marrow_fixLabels 0.537 v=0.0
cutoff=0.0
haircut=T
fluff=T
fu_flame 0.598 v=0.0
cutoff=13.52859946454999
haircut=T
fluff=T
coli_state 0.526 v=0.9
cutoff=0.9648728584448776
haircut=T
fluff=F
coli_find 0.23 v=0.8
cutoff=0.9962111528482418
haircut=T
fluff=T
coli_time 0.382 v=0.0
cutoff=0.9946636013250642
haircut=F
fluff=T
gionis_aggregation 0.864 v=0.4
cutoff=30.728906496073773
haircut=F
fluff=T
veenman_r15 0.969 v=0.1
cutoff=12.781326418951116
haircut=F
fluff=T
zahn_compound 0.825 v=0.8
cutoff=29.11875484426756
haircut=T
fluff=F
synthetic_spirals 0.637 v=0.3
cutoff=1.2420000000000002
haircut=F
fluff=F
synthetic_cassini 0.992 v=0.2
cutoff=1.6317525518227878
haircut=F
fluff=F
twonorm_100d 0.667 v=0.4
cutoff=7.587522115560845
haircut=T
fluff=F
twonorm_50d 0.717 v=0.9
cutoff=4.895619710727704
haircut=F
fluff=T
synthetic_cuboid 0.888 v=0
cutoff=0.7182950711516526
haircut=T
fluff=T