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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=11.718361660232203
MinPts=260
ppi_mips 0.997 eps=0.0
MinPts=1
chang_spiral 1.0 eps=28.28723779767516
MinPts=239
astral_40_strsim 1.0 eps=2.9112181333333336
MinPts=803
astral_40_seqsim_beh 1.0 eps=46.2795880017344
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=2.951694428629089
MinPts=8
coli_state 0.0 eps=0.9116803298042634
MinPts=183
coli_find 0.0 eps=0.9848446113929665
MinPts=154
coli_need 0.0 eps=0.9744063297305156
MinPts=1
coli_time 0.0 eps=0.9701161674203582
MinPts=103
gionis_aggregation 1.0 eps=2.587697389143054
MinPts=630
veenman_r15 1.0 eps=0.0
MinPts=1
zahn_compound 1.0 eps=0.0
MinPts=133
synthetic_spirals 1.0 eps=0.552
MinPts=17
synthetic_cassini 1.0 eps=2.3497236746248142
MinPts=167
twonorm_100d 1.0 eps=9.105026538673014
MinPts=27
twonorm_50d 1.0 eps=13.218173218964802
MinPts=1
synthetic_cuboid 1.0 eps=0.3134378492298121
MinPts=17
astral1_161 1.0 eps=81.25995599385347
MinPts=473
tcga 1.0 eps=0.6122130853214036
MinPts=1
bone_marrow 1.0 eps=0.0
MinPts=4
zachary 1.0 eps=0.4666666666666667
MinPts=3