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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=6.835710968468786
MinPts=240
ppi_mips 0.997 eps=0.26666666666666666
MinPts=656
chang_spiral 1.0 eps=22.225686841030484
MinPts=260
astral_40_strsim 1.0 eps=4.3668272
MinPts=768
astral_40_seqsim_beh 1.0 eps=0.0
MinPts=768
fraenti_s3 1.0 eps=0.0
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=3
fu_flame 1.0 eps=1.9677962857527258
MinPts=40
coli_state 0.0 eps=0.9116803298042634
MinPts=183
coli_find 0.0 eps=0.966658145064526
MinPts=420
coli_need 0.0 eps=0.9767330270277415
MinPts=77
coli_time 0.0 eps=0.9487705727206139
MinPts=273
gionis_aggregation 1.0 eps=0.0
MinPts=1
veenman_r15 1.0 eps=0.4647755061436769
MinPts=280
zahn_compound 1.0 eps=7.356317013288647
MinPts=332
synthetic_spirals 1.0 eps=0.3312
MinPts=75
synthetic_cassini 1.0 eps=0.130540204145823
MinPts=67
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