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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=0.7333333333333333
MinPts=766
chang_spiral 1.0 eps=7.07180944941879
MinPts=1
astral_40_strsim 1.0 eps=2.9112181333333336
MinPts=803
astral_40_seqsim_beh 1.0 eps=80.98927900303521
MinPts=733
fraenti_s3 1.0 eps=0.0
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=35
fu_flame 1.0 eps=5.411439785819995
MinPts=8
coli_state 0.0 eps=0.9076657993408208
MinPts=190
coli_find 0.0 eps=0.954533834178899
MinPts=14
coli_need 0.0 eps=0.9697529351360639
MinPts=63
coli_time 0.0 eps=0.9701161674203582
MinPts=324
gionis_aggregation 1.0 eps=7.763092167429162
MinPts=709
veenman_r15 1.0 eps=0.9295510122873538
MinPts=120
zahn_compound 1.0 eps=8.582369848836754
MinPts=306
synthetic_spirals 1.0 eps=0.0
MinPts=42
synthetic_cassini 1.0 eps=2.480263878770637
MinPts=167
twonorm_100d 1.0 eps=1.8210053077346027
MinPts=54
twonorm_50d 1.0 eps=5.385181681800475
MinPts=67
synthetic_cuboid 1.0 eps=0.0
MinPts=108
astral1_161 1.0 eps=255.38843312353944
MinPts=405
tcga 1.0 eps=0.3877048715601111
MinPts=20
bone_marrow 1.0 eps=0.020339198944763118
MinPts=35
zachary 1.0 eps=0.0
MinPts=1