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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=118.54561229247581
MinPts=170
chang_pathbased 1.0 eps=21.48366304375904
MinPts=130
ppi_mips 1.0 eps=0.2
MinPts=438
chang_spiral 1.0 eps=30.307754783223388
MinPts=32
astral_40_strsim 1.0 eps=4.3668272
MinPts=908
astral_40_seqsim_beh 1.0 eps=57.84948500216801
MinPts=1012
fraenti_s3 1.0 eps=756175.2369962137
MinPts=2167
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=28
fu_flame 1.0 eps=11.314828643078174
MinPts=80
coli_state 1.0 eps=0.963869225829017
MinPts=57
coli_find 1.0 eps=0.930285212407645
MinPts=154
coli_need 1.0 eps=0.9744063297305156
MinPts=59
coli_time 1.0 eps=0.9359632159007674
MinPts=460
gionis_aggregation 1.0 eps=16.820033029429855
MinPts=53
veenman_r15 1.0 eps=13.943265184310308
MinPts=60
zahn_compound 1.0 eps=33.10342655979891
MinPts=385
synthetic_spirals 1.0 eps=1.9872000000000003
MinPts=42
synthetic_cassini 1.0 eps=3.2635051036455756
MinPts=108
twonorm_100d 1.0 eps=17.60305130810116
MinPts=173
twonorm_50d 1.0 eps=10.77036336360095
MinPts=200
synthetic_cuboid 1.0 eps=0.8880739061511342
MinPts=42
astral1_161 1.0 eps=34.8256954259372
MinPts=17
tcga 1.0 eps=0.6734425981653925
MinPts=10
bone_marrow 1.0 eps=0.5084799736190779
MinPts=36
zachary 1.0 eps=6.533333333333333
MinPts=18