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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 v=0.5
cutoff=40.413276917889476
haircut=F
fluff=T
chang_spiral 0.496 v=0.8
cutoff=17.679523623546974
haircut=T
fluff=T
astral_40_strsim 1.0 v=0.1
cutoff=40.02924933333333
haircut=F
fluff=T
astral_40_seqsim_beh 1.0 v=0.5
cutoff=62.67027541901535
haircut=T
fluff=F
fraenti_s3 0.836 v=0.1
cutoff=990229.4770188513
haircut=T
fluff=T
bone_marrow_fixLabels 1.0 v=0.0
cutoff=0.0
haircut=T
fluff=T
fu_flame 0.499 v=0.0
cutoff=13.52859946454999
haircut=T
fluff=T
coli_state 0.943 v=0.0
cutoff=0.9648728584448776
haircut=T
fluff=F
coli_find 0.63 v=0.0
cutoff=0.9962111528482418
haircut=T
fluff=F
coli_time 0.574 v=0.1
cutoff=0.9946636013250642
haircut=T
fluff=F
gionis_aggregation 0.818 v=0.0
cutoff=35.58083910071699
haircut=T
fluff=T
veenman_r15 0.909 v=0.4
cutoff=12.781326418951116
haircut=T
fluff=T
zahn_compound 0.816 v=0.9
cutoff=29.11875484426756
haircut=T
fluff=T
synthetic_spirals 0.778 v=0.4
cutoff=1.2420000000000002
haircut=F
fluff=T
synthetic_cassini 1.0 v=0.4
cutoff=1.3054020414582301
haircut=F
fluff=F
twonorm_100d 1.0 v=0.0
cutoff=5.311265480892591
haircut=F
fluff=F
twonorm_50d 1.0 v=0.0
cutoff=4.283667246886741
haircut=T
fluff=T
synthetic_cuboid 0.852 v=0.9
cutoff=0.5223964153830202
haircut=F
fluff=F