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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 0.828 k=14
m=1.5
chang_pathbased 0.605 k=6
m=1.5
ppi_mips 0.8 k=1002
m=1.5
chang_spiral 0.489 k=27
m=1.01
astral_40_strsim 0.843 k=193
m=2.25
astral_40_seqsim_beh 0.799 k=561
m=1.01
fraenti_s3 0.789 k=16
m=1.01
bone_marrow_fixLabels 0.581 k=4
m=1.5
fu_flame 0.611 k=3
m=1.5
coli_state 0.359 k=186
m=3.5
coli_find 0.546 k=6
m=1.5
coli_need 0.358 k=102
m=1.01
coli_time 0.397 k=140
m=1.5
gionis_aggregation 0.875 k=4
m=2.25
veenman_r15 0.994 k=20
m=1.5
zahn_compound 0.847 k=4
m=1.01
synthetic_spirals 0.3 k=52
m=1.5
synthetic_cassini 0.869 k=3
m=3.5
twonorm_100d 0.808 k=2
m=5.0
twonorm_50d 0.839 k=2
m=2.25
synthetic_cuboid 1.0 k=4
m=5.0
astral1_161 0.638 k=9
m=5.0
tcga 0.847 k=20
m=5.0
bone_marrow 0.735 k=3
m=1.5
zachary 1.0 k=3
m=2.25