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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=1.9530602767053673
MinPts=270
ppi_mips 0.997 eps=0.6
MinPts=729
chang_spiral 1.0 eps=16.164135884385807
MinPts=280
astral_40_strsim 1.0 eps=2.9112181333333336
MinPts=803
astral_40_seqsim_beh 1.0 eps=92.5591760034688
MinPts=628
fraenti_s3 1.0 eps=0.0
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=35
fu_flame 1.0 eps=2.951694428629089
MinPts=8
coli_state 0.0 eps=0.9036512688773783
MinPts=164
coli_find 0.0 eps=0.954533834178899
MinPts=112
coli_need 0.0 eps=0.9627728432443861
MinPts=56
coli_time 0.0 eps=0.9060793833211255
MinPts=375
gionis_aggregation 1.0 eps=0.0
MinPts=525
veenman_r15 1.0 eps=0.9295510122873538
MinPts=120
zahn_compound 1.0 eps=1.2260528355481077
MinPts=359
synthetic_spirals 1.0 eps=1.5456
MinPts=233
synthetic_cassini 1.0 eps=0.0
MinPts=117
twonorm_100d 1.0 eps=3.035008846224338
MinPts=34
twonorm_50d 1.0 eps=10.77036336360095
MinPts=47
synthetic_cuboid 1.0 eps=0.9925531892277383
MinPts=225
astral1_161 1.0 eps=278.6055634074976
MinPts=405
tcga 1.0 eps=0.6734425981653925
MinPts=1
bone_marrow 1.0 eps=0.0
MinPts=4
zachary 1.0 eps=0.0
MinPts=1