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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 T=1.6181492259415207
chang_pathbased 1.0 T=7.2140064274702755
ppi_mips 1.0 T=0.014014014014014014
chang_spiral 1.0 T=7.5238470332726735
astral_40_strsim 1.0 T=0.17484793593593595
astral_40_seqsim_beh 0.985 T=4.28514703719763
fraenti_s3 1.0 T=24870.628415433886
bone_marrow_fixLabels 1.0 T=0.07024047683626904
fu_flame 1.0 T=0.9011679687005727
coli_state 1.0 T=0.8893291601969886
coli_find 1.0 T=0.9312773669771145
coli_need 1.0 T=0.9383040926891758
coli_time 1.0 T=0.8774391079101774
gionis_aggregation 1.0 T=1.9815700727672036
veenman_r15 1.0 T=10.37021624819075
zahn_compound 1.0 T=4.970484468438275
synthetic_spirals 1.0 T=1.060900900900901
synthetic_cassini 1.0 T=0.4390541400700354
twonorm_100d 1.0 T=0.01822828135870473
twonorm_50d 1.0 T=1.8523966473023745
synthetic_cuboid 1.0 T=0.49259001330410906
astral1_161 0.996 T=4.1832667178302945
tcga 1.0 T=0.43673751447822023
bone_marrow 1.0 T=0.1368162331419501
zachary 1.0 T=0.09109109109109109