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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=6.27559908731154
ppi_mips 1.0 T=0.004004004004004004
chang_spiral 1.0 T=10.921713435395814
astral_40_strsim 1.0 T=0.17484793593593595
astral_40_seqsim_beh 0.985 T=4.28514703719763
fraenti_s3 1.0 T=408743.37134930474
bone_marrow_fixLabels 1.0 T=0.0861209324688168
fu_flame 1.0 T=4.594479315834067
coli_state 1.0 T=0.8910169507822197
coli_find 1.0 T=0.9134367893976634
coli_need 1.0 T=0.9383040926891758
coli_time 1.0 T=0.8774391079101774
gionis_aggregation 1.0 T=2.4089675394424828
veenman_r15 1.0 T=10.37021624819075
zahn_compound 1.0 T=4.970484468438275
synthetic_spirals 1.0 T=0.18565765765765765
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