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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=3.9061205534107346
MinPts=250
ppi_mips 0.997 eps=0.5
MinPts=729
chang_spiral 1.0 eps=11.112843420515242
MinPts=1
astral_40_strsim 1.0 eps=36.39022666666666
MinPts=664
astral_40_seqsim_beh 1.0 eps=15.42652933391147
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=8.363134214449085
MinPts=184
coli_state 0.0 eps=0.9919709390731151
MinPts=57
coli_find 0.0 eps=0.9090676683577977
MinPts=140
coli_need 0.0 eps=0.9534660540554826
MinPts=98
coli_time 0.0 eps=0.8975411454412278
MinPts=443
gionis_aggregation 1.0 eps=5.175394778286108
MinPts=604
veenman_r15 1.0 eps=0.9295510122873538
MinPts=500
zahn_compound 1.0 eps=0.0
MinPts=385
synthetic_spirals 1.0 eps=0.0
MinPts=42
synthetic_cassini 1.0 eps=0.9137814290207611
MinPts=241
twonorm_100d 1.0 eps=4.856014153958941
MinPts=54
twonorm_50d 1.0 eps=9.791239421455408
MinPts=14
synthetic_cuboid 1.0 eps=0.36567749076811407
MinPts=1
astral1_161 1.0 eps=23.21713028395813
MinPts=439
tcga 1.0 eps=0.6734425981653925
MinPts=1
bone_marrow 1.0 eps=0.18305279050286807
MinPts=4
zachary 1.0 eps=2.1
MinPts=5