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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 eps=0.0
MinPts=1
chang_pathbased 1.0 eps=0.9765301383526837
MinPts=280
ppi_mips 0.997 eps=0.5
MinPts=729
chang_spiral 1.0 eps=16.164135884385807
MinPts=280
astral_40_strsim 1.0 eps=36.39022666666666
MinPts=664
astral_40_seqsim_beh 1.0 eps=0.0
MinPts=768
fraenti_s3 1.0 eps=0.0
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=35
fu_flame 1.0 eps=0.0
MinPts=40
coli_state 0.0 eps=0.9919709390731151
MinPts=57
coli_find 0.0 eps=0.9090676683577977
MinPts=140
coli_need 0.0 eps=0.9534660540554826
MinPts=98
coli_time 0.0 eps=0.8975411454412278
MinPts=443
gionis_aggregation 1.0 eps=2.587697389143054
MinPts=630
veenman_r15 1.0 eps=0.9295510122873538
MinPts=120
zahn_compound 1.0 eps=12.260528355481078
MinPts=306
synthetic_spirals 1.0 eps=1.5456
MinPts=233
synthetic_cassini 1.0 eps=0.7832412248749381
MinPts=225
twonorm_100d 1.0 eps=12.74703715414222
MinPts=20
twonorm_50d 1.0 eps=10.77036336360095
MinPts=47
synthetic_cuboid 1.0 eps=1.3582306799958523
MinPts=200
astral1_161 1.0 eps=0.0
MinPts=1
tcga 1.0 eps=0.4897540596334259
MinPts=10
bone_marrow 1.0 eps=0.020339198944763118
MinPts=2
zachary 1.0 eps=1.1666666666666667
MinPts=5