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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 0.965 k=8
m=1.01
chang_pathbased 0.798 k=2
m=1.5
ppi_mips 1.0 k=2
m=1.5
chang_spiral 0.496 k=2
m=1.5
astral_40_strsim 0.982 k=81
m=2.25
astral_40_seqsim_beh 1.0 k=30
m=1.5
fraenti_s3 0.918 k=2
m=2.25
bone_marrow_fixLabels 0.89 k=4
m=1.5
fu_flame 0.732 k=2
m=1.5
coli_state 0.643 k=4
m=5.0
coli_find 0.862 k=2
m=1.01
coli_need 0.854 k=2
m=1.01
coli_time 0.921 k=2
m=1.01
gionis_aggregation 0.993 k=3
m=1.01
veenman_r15 1.0 k=2
m=1.5
zahn_compound 1.0 k=3
m=1.5
synthetic_spirals 0.496 k=2
m=1.5
synthetic_cassini 0.947 k=7
m=1.5
twonorm_100d 0.99 k=20
m=2.25
twonorm_50d 0.99 k=13
m=5.0
synthetic_cuboid 1.0 k=3
m=1.5
astral1_161 0.992 k=28
m=1.5
tcga 0.988 k=2
m=1.01
bone_marrow 0.867 k=2
m=1.01
zachary 1.0 k=5
m=1.01