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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=2.9295904150580507
MinPts=250
ppi_mips 0.997 eps=0.7333333333333333
MinPts=766
chang_spiral 1.0 eps=18.184652869934034
MinPts=270
astral_40_strsim 1.0 eps=11.644872533333334
MinPts=803
astral_40_seqsim_beh 1.0 eps=53.99285266869014
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=7.379236071572722
MinPts=192
coli_state 0.0 eps=0.9759128172193446
MinPts=145
coli_find 0.0 eps=1.0000000000000002
MinPts=98
coli_need 0.0 eps=0.9511393567582567
MinPts=87
coli_time 0.0 eps=0.9530396916605628
MinPts=477
gionis_aggregation 1.0 eps=2.587697389143054
MinPts=630
veenman_r15 1.0 eps=0.0
MinPts=1
zahn_compound 1.0 eps=0.0
MinPts=133
synthetic_spirals 1.0 eps=0.552
MinPts=17
synthetic_cassini 1.0 eps=2.3497236746248142
MinPts=167
twonorm_100d 1.0 eps=9.105026538673014
MinPts=27
twonorm_50d 1.0 eps=13.218173218964802
MinPts=1
synthetic_cuboid 1.0 eps=0.3134378492298121
MinPts=17
astral1_161 1.0 eps=69.6513908518744
MinPts=439
tcga 1.0 eps=0.5509835724774148
MinPts=49
bone_marrow 1.0 eps=0.040678397889526235
MinPts=29
zachary 1.0 eps=4.2
MinPts=1