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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=9.765301383526836
MinPts=240
ppi_mips 0.997 eps=0.5
MinPts=729
chang_spiral 1.0 eps=11.112843420515242
MinPts=1
astral_40_strsim 1.0 eps=36.39022666666666
MinPts=664
astral_40_seqsim_beh 1.0 eps=15.42652933391147
MinPts=698
fraenti_s3 1.0 eps=0.0
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=35
fu_flame 1.0 eps=4.427541642943633
MinPts=32
coli_state 0.0 eps=0.9879564086096725
MinPts=70
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=3.881546083714581
MinPts=630
veenman_r15 1.0 eps=0.0
MinPts=1
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=4.406057739654934
MinPts=47
synthetic_cuboid 1.0 eps=0.8880739061511342
MinPts=241
astral1_161 1.0 eps=69.6513908518744
MinPts=439
tcga 1.0 eps=0.40811470917477405
MinPts=20
bone_marrow 1.0 eps=0.2033919894476312
MinPts=8
zachary 1.0 eps=1.8666666666666667
MinPts=2