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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=1.9530602767053673
MinPts=270
ppi_mips 0.997 eps=0.6
MinPts=729
chang_spiral 1.0 eps=16.164135884385807
MinPts=280
astral_40_strsim 1.0 eps=32.02339946666667
MinPts=733
astral_40_seqsim_beh 1.0 eps=100.27244067042456
MinPts=628
fraenti_s3 1.0 eps=0.0
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=3
fu_flame 1.0 eps=0.9838981428763629
MinPts=8
coli_state 0.0 eps=0.9357675125849189
MinPts=171
coli_find 0.0 eps=0.9120987460792045
MinPts=266
coli_need 0.0 eps=0.9627728432443861
MinPts=56
coli_time 0.0 eps=0.918886740140972
MinPts=222
gionis_aggregation 1.0 eps=0.0
MinPts=525
veenman_r15 1.0 eps=0.0
MinPts=1
zahn_compound 1.0 eps=0.0
MinPts=385
synthetic_spirals 1.0 eps=1.5456
MinPts=233
synthetic_cassini 1.0 eps=0.6527010207291151
MinPts=250
twonorm_100d 1.0 eps=13.354038923387089
MinPts=47
twonorm_50d 1.0 eps=14.197297161110344
MinPts=1
synthetic_cuboid 1.0 eps=0.7835946230745302
MinPts=216
astral1_161 1.0 eps=278.6055634074976
MinPts=405
tcga 1.0 eps=0.6734425981653925
MinPts=1
bone_marrow 1.0 eps=0.0
MinPts=4
zachary 1.0 eps=0.0
MinPts=1