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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=7.741860556309564
ppi_mips 1.0 T=0.008008008008008008
chang_spiral 1.0 T=7.250804197387777
astral_40_strsim 1.0 T=0.17484793593593595
astral_40_seqsim_beh 0.985 T=4.28514703719763
fraenti_s3 1.0 T=255194.27417575638
bone_marrow_fixLabels 1.0 T=0.143534887448028
fu_flame 1.0 T=1.1523131403056501
coli_state 1.0 T=0.8993353472380016
coli_find 1.0 T=0.9204455877324477
coli_need 1.0 T=0.9455007840289436
coli_time 1.0 T=0.9148740247409601
gionis_aggregation 1.0 T=3.574596994011426
veenman_r15 1.0 T=2.4006422539553283
zahn_compound 1.0 T=13.365080459578472
synthetic_spirals 1.0 T=1.462054054054054
synthetic_cassini 1.0 T=1.117235981428215
twonorm_100d 1.0 T=1.093696881522284
twonorm_50d 1.0 T=0.9850045664226912
synthetic_cuboid 1.0 T=0.33885172889709414
astral1_161 0.996 T=4.1832667178302945
tcga 1.0 T=0.4324471582228857
bone_marrow 1.0 T=0.16185849010096778
zachary 1.0 T=0.09109109109109109