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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 1.0 k=5
m=1.01
chang_pathbased 1.0 k=242
m=5.0
ppi_mips 1.0 k=724
m=3.5
chang_spiral 1.0 k=208
m=2.25
astral_40_strsim 1.0 k=385
m=5.0
astral_40_seqsim_beh 1.0 k=272
m=5.0
fraenti_s3 1.0 k=220
m=1.5
bone_marrow_fixLabels 0.742 k=4
m=1.5
fu_flame 1.0 k=225
m=1.01
coli_state 1.0 k=55
m=1.01
coli_find 1.0 k=67
m=2.25
coli_need 1.0 k=26
m=1.01
coli_time 1.0 k=16
m=1.5
gionis_aggregation 1.0 k=788
m=3.5
veenman_r15 1.0 k=352
m=2.25
zahn_compound 1.0 k=92
m=1.01
synthetic_spirals 1.0 k=187
m=1.5
synthetic_cassini 1.0 k=38
m=5.0
twonorm_100d 1.0 k=48
m=1.01
twonorm_50d 1.0 k=5
m=3.5
synthetic_cuboid 1.0 k=5
m=3.5
astral1_161 1.0 k=66
m=1.01
tcga 1.0 k=63
m=2.25
bone_marrow 1.0 k=33
m=5.0
zachary 1.0 k=7
m=1.01