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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=75.4381169133937
MinPts=185
chang_pathbased 1.0 eps=22.460193182111723
MinPts=200
ppi_mips 1.0 eps=0.7333333333333333
MinPts=37
chang_spiral 1.0 eps=5.051292463870565
MinPts=229
astral_40_strsim 1.0 eps=7.278045333333334
MinPts=35
astral_40_seqsim_beh 1.0 eps=84.84591133651308
MinPts=872
fraenti_s3 1.0 eps=108025.03385660196
MinPts=4333
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=26
fu_flame 1.0 eps=12.790675857392719
MinPts=136
coli_state 1.0 eps=0.8996367384139357
MinPts=57
coli_find 1.0 eps=0.9969689222785935
MinPts=364
coli_need 1.0 eps=0.9511393567582567
MinPts=94
coli_time 1.0 eps=0.8804646696814323
MinPts=239
gionis_aggregation 1.0 eps=2.587697389143054
MinPts=473
veenman_r15 1.0 eps=12.0841631597356
MinPts=20
zahn_compound 1.0 eps=2.4521056710962155
MinPts=332
synthetic_spirals 1.0 eps=0.9936000000000001
MinPts=92
synthetic_cassini 1.0 eps=3.2635051036455756
MinPts=208
twonorm_100d 1.0 eps=6.070017692448676
MinPts=67
twonorm_50d 1.0 eps=10.77036336360095
MinPts=80
synthetic_cuboid 1.0 eps=0.6268756984596242
MinPts=42
astral1_161 1.0 eps=348.256954259372
MinPts=203
tcga 1.0 eps=0.7550819486240444
MinPts=254
bone_marrow 1.0 eps=0.18305279050286807
MinPts=12
zachary 1.0 eps=0.0
MinPts=6