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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=50
ppi_mips 0.997 eps=0.5333333333333333
MinPts=693
chang_spiral 1.0 eps=16.164135884385807
MinPts=280
astral_40_strsim 1.0 eps=37.84583573333334
MinPts=838
astral_40_seqsim_beh 1.0 eps=65.56274966912375
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=4.919490714381814
MinPts=16
coli_state 0.0 eps=0.9759128172193446
MinPts=145
coli_find 0.0 eps=0.9575649119003058
MinPts=182
coli_need 0.0 eps=0.9720796324332898
MinPts=94
coli_time 0.0 eps=0.9445014537806652
MinPts=324
gionis_aggregation 1.0 eps=6.469243472857636
MinPts=683
veenman_r15 1.0 eps=0.9295510122873538
MinPts=120
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=23.21713028395813
MinPts=439
tcga 1.0 eps=0.6122130853214036
MinPts=1
bone_marrow 1.0 eps=0.020339198944763118
MinPts=35
zachary 1.0 eps=0.0
MinPts=1