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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=0.06666666666666667
MinPts=620
chang_spiral 1.0 eps=14.14361889883758
MinPts=280
astral_40_strsim 1.0 eps=2.9112181333333336
MinPts=803
astral_40_seqsim_beh 1.0 eps=57.84948500216801
MinPts=593
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=0.9759128172193446
MinPts=57
coli_find 0.0 eps=0.918160901522018
MinPts=420
coli_need 0.0 eps=0.9767330270277415
MinPts=28
coli_time 0.0 eps=0.9957308810600514
MinPts=511
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=81.25995599385347
MinPts=473
tcga 1.0 eps=0.6122130853214036
MinPts=1
bone_marrow 1.0 eps=0.020339198944763118
MinPts=2
zachary 1.0 eps=4.433333333333334
MinPts=34