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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=7.812241106821469
MinPts=250
ppi_mips 0.997 eps=0.5333333333333333
MinPts=693
chang_spiral 1.0 eps=15.153877391611694
MinPts=291
astral_40_strsim 1.0 eps=11.644872533333334
MinPts=803
astral_40_seqsim_beh 1.0 eps=61.70611733564588
MinPts=663
fraenti_s3 1.0 eps=0.0
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=35
fu_flame 1.0 eps=4.919490714381814
MinPts=16
coli_state 0.0 eps=0.9437965735118041
MinPts=70
coli_find 0.0 eps=0.9272541346862383
MinPts=350
coli_need 0.0 eps=0.9976733027027743
MinPts=7
coli_time 0.0 eps=0.9487705727206139
MinPts=273
gionis_aggregation 1.0 eps=1.293848694571527
MinPts=683
veenman_r15 1.0 eps=0.0
MinPts=1
zahn_compound 1.0 eps=4.904211342192431
MinPts=359
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=127.69421656176972
MinPts=439
tcga 1.0 eps=0.3877048715601111
MinPts=20
bone_marrow 1.0 eps=0.1220351936685787
MinPts=2
zachary 1.0 eps=6.066666666666666
MinPts=2