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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 0.798 k=4
m=2.25
chang_pathbased 0.686 k=6
m=1.01
ppi_mips 0.141 k=2
m=3.5
chang_spiral 0.404 k=7
m=2.25
astral_40_strsim 0.48 k=193
m=2.25
astral_40_seqsim_beh 0.256 k=425
m=3.5
fraenti_s3 0.731 k=16
m=1.01
bone_marrow_fixLabels 0.767 k=4
m=1.5
fu_flame 0.759 k=2
m=1.5
coli_state 0.491 k=2
m=2.25
coli_find 0.332 k=2
m=1.01
coli_need 0.573 k=2
m=1.01
coli_time 0.492 k=2
m=2.25
gionis_aggregation 0.871 k=8
m=3.5
veenman_r15 0.993 k=20
m=1.5
zahn_compound 0.854 k=4
m=1.01
synthetic_spirals 0.496 k=2
m=5.0
synthetic_cassini 0.93 k=2
m=5.0
twonorm_100d 0.941 k=2
m=5.0
twonorm_50d 0.955 k=2
m=2.25
synthetic_cuboid 1.0 k=3
m=5.0
astral1_161 0.587 k=9
m=5.0
tcga 0.959 k=20
m=5.0
bone_marrow 0.867 k=3
m=2.25
zachary 1.0 k=6
m=1.5