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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 0.899 k=14
m=1.5
chang_pathbased 0.823 k=6
m=1.01
ppi_mips 0.984 k=785
m=3.5
chang_spiral 0.705 k=26
m=2.25
astral_40_strsim 0.991 k=213
m=5.0
astral_40_seqsim_beh 0.99 k=561
m=1.01
fraenti_s3 0.965 k=16
m=1.01
bone_marrow_fixLabels 0.795 k=3
m=3.5
fu_flame 0.759 k=3
m=1.5
coli_state 0.616 k=43
m=1.5
coli_find 0.873 k=398
m=2.25
coli_need 0.614 k=81
m=5.0
coli_time 0.736 k=505
m=3.5
gionis_aggregation 0.934 k=8
m=3.5
veenman_r15 0.999 k=20
m=1.5
zahn_compound 0.91 k=6
m=1.5
synthetic_spirals 0.52 k=37
m=2.25
synthetic_cassini 0.951 k=3
m=3.5
twonorm_100d 0.942 k=30
m=1.01
twonorm_50d 0.956 k=2
m=2.25
synthetic_cuboid 1.0 k=4
m=3.5
astral1_161 0.872 k=23
m=5.0
tcga 0.953 k=20
m=5.0
bone_marrow 0.9 k=2
m=1.5
zachary 1.0 k=3
m=1.01