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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 0.952 v=0
cutoff=40.413276917889476
haircut=F
fluff=F
chang_spiral 0.55 v=0.0
cutoff=23.993639203385182
haircut=F
fluff=F
astral_40_strsim 0.73 v=0.4
cutoff=7.278045333333334
haircut=T
fluff=F
astral_40_seqsim_beh 0.393 v=0.8
cutoff=4.820790416847334
haircut=F
fluff=T
fraenti_s3 0.446 v=0.9
cutoff=990229.4770188513
haircut=T
fluff=F
bone_marrow_fixLabels 0.731 v=0.0
cutoff=0.0
haircut=T
fluff=T
fu_flame 0.66 v=0.0
cutoff=13.52859946454999
haircut=T
fluff=T
coli_state 0.685 v=0.0
cutoff=0.9648728584448776
haircut=T
fluff=F
coli_find 0.354 v=0.0
cutoff=0.9962111528482418
haircut=T
fluff=F
coli_time 0.508 v=0.0
cutoff=0.9946636013250642
haircut=F
fluff=T
gionis_aggregation 0.833 v=0.7
cutoff=30.728906496073773
haircut=F
fluff=T
veenman_r15 0.954 v=0.1
cutoff=12.781326418951116
haircut=F
fluff=F
zahn_compound 0.829 v=0.8
cutoff=29.11875484426756
haircut=T
fluff=F
synthetic_spirals 0.761 v=0.3
cutoff=1.2420000000000002
haircut=T
fluff=T
synthetic_cassini 0.992 v=0.2
cutoff=1.6317525518227878
haircut=T
fluff=T
twonorm_100d 0.833 v=0.0
cutoff=7.587522115560845
haircut=F
fluff=T
twonorm_50d 0.833 v=0.0
cutoff=4.283667246886741
haircut=T
fluff=T
synthetic_cuboid 0.871 v=0.2
cutoff=0.7182950711516526
haircut=T
fluff=T