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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=7.887904147785867
astral_40_strsim 1.0 T=0.17484793593593595
astral_40_seqsim_beh 0.985 T=4.28514703719763
fraenti_s3 1.0 T=141654.44880094953
bone_marrow_fixLabels 1.0 T=0.001221573510195983
fu_flame 1.0 T=3.368299948585747
coli_state 1.0 T=0.901625920175101
coli_find 1.0 T=0.9372849084069296
coli_need 1.0 T=0.9499725145701584
coli_time 1.0 T=0.8728238441913138
gionis_aggregation 1.0 T=7.654300085002728
veenman_r15 1.0 T=3.293904487985218
zahn_compound 1.0 T=4.970484468438275
synthetic_spirals 1.0 T=0.6067027027027027
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=0.4024146644355438
bone_marrow 1.0 T=0.08306699869332686
zachary 1.0 T=0.09109109109109109