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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=20.38868024686316
chang_pathbased 1.0 T=4.193507801334347
ppi_mips 1.0 T=0.004004004004004004
chang_spiral 1.0 T=11.710503850174403
astral_40_strsim 1.0 T=0.17484793593593595
astral_40_seqsim_beh 0.985 T=4.28514703719763
fraenti_s3 1.0 T=469297.9448825351
bone_marrow_fixLabels 1.0 T=0.04519821987725138
fu_flame 1.0 T=3.131928022369203
coli_state 1.0 T=0.9034342672307057
coli_find 1.0 T=0.9220840081223973
coli_need 1.0 T=0.9421469861230324
coli_time 1.0 T=0.9124381911115599
gionis_aggregation 1.0 T=18.028402230666327
veenman_r15 1.0 T=8.709306781791424
zahn_compound 1.0 T=11.082339444443857
synthetic_spirals 1.0 T=0.34810810810810816
synthetic_cassini 1.0 T=1.689574414019511
twonorm_100d 1.0 T=1.7316867290769495
twonorm_50d 1.0 T=2.30814502878153
synthetic_cuboid 1.0 T=0.2745326507268124
astral1_161 0.996 T=4.1832667178302945
tcga 1.0 T=0.46493128415613305
bone_marrow 1.0 T=0.0794022781627389
zachary 1.0 T=0.014014014014014014