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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 0.979 k=11
chang_pathbased 0.8 k=7
ppi_mips 0.993 k=154
chang_spiral 0.705 k=26
astral_40_strsim 0.996 k=112
astral_40_seqsim_beh 0.991 k=463
fraenti_s3 0.965 k=17
bone_marrow_fixLabels 0.929 k=5
fu_flame 0.745 k=3
coli_state 0.613 k=134
coli_find 0.874 k=402
coli_need 0.614 k=94
coli_time 0.736 k=489
gionis_aggregation 0.93 k=7
veenman_r15 0.999 k=15
zahn_compound 0.889 k=3
synthetic_spirals 0.52 k=37
synthetic_cassini 0.939 k=2
twonorm_100d 0.549 k=3
twonorm_50d 0.758 k=4
synthetic_cuboid 1.0 k=4
astral1_161 0.869 k=16
tcga 0.889 k=2
bone_marrow 0.888 k=4
zachary 0.9 k=7