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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=247.86809842972212
MinPts=93
chang_pathbased 1.0 eps=9.765301383526836
MinPts=210
ppi_mips 1.0 eps=0.0
MinPts=146
chang_spiral 1.0 eps=0.0
MinPts=94
astral_40_strsim 1.0 eps=16.011699733333334
MinPts=908
astral_40_seqsim_beh 1.0 eps=0.0
MinPts=70
fraenti_s3 1.0 eps=216050.06771320393
MinPts=5000
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=10
fu_flame 1.0 eps=0.0
MinPts=72
coli_state 1.0 eps=0.915694860267706
MinPts=82
coli_find 1.0 eps=0.9969689222785935
MinPts=126
coli_need 1.0 eps=1.0000000000000002
MinPts=70
coli_time 1.0 eps=0.8804646696814323
MinPts=239
gionis_aggregation 1.0 eps=33.64006605885971
MinPts=210
veenman_r15 1.0 eps=13.943265184310308
MinPts=120
zahn_compound 1.0 eps=1.2260528355481077
MinPts=80
synthetic_spirals 1.0 eps=2.3184
MinPts=233
synthetic_cassini 1.0 eps=0.39162061243746904
MinPts=92
twonorm_100d 1.0 eps=10.926031846407618
MinPts=87
twonorm_50d 1.0 eps=2.9373718264366224
MinPts=87
synthetic_cuboid 1.0 eps=1.1492721138426443
MinPts=250
astral1_161 1.0 eps=69.6513908518744
MinPts=186
tcga 1.0 eps=0.4693442220187629
MinPts=195
bone_marrow 1.0 eps=0.1423743926133418
MinPts=36
zachary 1.0 eps=4.433333333333334
MinPts=13