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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 0.75 k=14
m=1.5
chang_pathbased 0.748 k=2
m=2.25
ppi_mips 0.26 k=695
m=2.25
chang_spiral 0.474 k=2
m=1.5
astral_40_strsim 0.627 k=81
m=3.5
astral_40_seqsim_beh 0.442 k=154
m=5.0
fraenti_s3 0.84 k=16
m=1.01
bone_marrow_fixLabels 0.869 k=4
m=1.5
fu_flame 0.853 k=2
m=3.5
coli_state 0.594 k=12
m=3.5
coli_find 0.39 k=2
m=1.01
coli_need 0.703 k=2
m=1.01
coli_time 0.584 k=2
m=1.5
gionis_aggregation 0.918 k=8
m=3.5
veenman_r15 0.997 k=20
m=1.5
zahn_compound 0.903 k=4
m=1.01
synthetic_spirals 0.504 k=2
m=3.5
synthetic_cassini 0.956 k=3
m=3.5
twonorm_100d 0.97 k=4
m=1.01
twonorm_50d 0.975 k=3
m=1.5
synthetic_cuboid 1.0 k=4
m=2.25
astral1_161 0.752 k=9
m=5.0
tcga 0.964 k=20
m=5.0
bone_marrow 0.921 k=3
m=5.0
zachary 1.0 k=3
m=2.25