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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 0.99 v=0.2
cutoff=40.413276917889476
haircut=T
fluff=F
chang_spiral 0.415 v=0.4
cutoff=17.679523623546974
haircut=T
fluff=F
astral_40_strsim 0.375 v=0.8
cutoff=7.278045333333334
haircut=T
fluff=F
astral_40_seqsim_beh 0.104 v=0.9
cutoff=4.820790416847334
haircut=T
fluff=T
fraenti_s3 0.297 v=0.0
cutoff=990229.4770188513
haircut=T
fluff=F
bone_marrow_fixLabels 0.601 v=0.0
cutoff=0.0
haircut=T
fluff=T
fu_flame 0.51 v=0.0
cutoff=13.52859946454999
haircut=T
fluff=T
coli_state 0.609 v=0.0
cutoff=0.9648728584448776
haircut=T
fluff=F
coli_find 0.285 v=0.0
cutoff=0.9962111528482418
haircut=F
fluff=F
coli_time 0.396 v=0.2
cutoff=0.9946636013250642
haircut=F
fluff=F
gionis_aggregation 0.821 v=0.2
cutoff=30.728906496073773
haircut=T
fluff=T
veenman_r15 0.945 v=0.4
cutoff=12.781326418951116
haircut=T
fluff=F
zahn_compound 0.798 v=0.5
cutoff=29.11875484426756
haircut=T
fluff=F
synthetic_spirals 0.622 v=0.7
cutoff=1.2420000000000002
haircut=T
fluff=F
synthetic_cassini 0.987 v=0.2
cutoff=1.6317525518227878
haircut=F
fluff=F
twonorm_100d 0.705 v=0.4
cutoff=7.587522115560845
haircut=T
fluff=F
twonorm_50d 0.705 v=0.0
cutoff=4.283667246886741
haircut=T
fluff=F
synthetic_cuboid 0.806 v=0
cutoff=0.7182950711516526
haircut=T
fluff=F