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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 0.78 k=14
m=1.5
chang_pathbased 0.707 k=6
m=1.01
ppi_mips 0.306 k=695
m=2.25
chang_spiral 0.441 k=11
m=1.01
astral_40_strsim 0.677 k=107
m=5.0
astral_40_seqsim_beh 0.524 k=194
m=1.01
fraenti_s3 0.847 k=16
m=1.01
bone_marrow_fixLabels 0.791 k=3
m=3.5
fu_flame 0.857 k=2
m=1.01
coli_state 0.478 k=2
m=1.5
coli_find 0.231 k=4
m=1.5
coli_need 0.536 k=2
m=1.5
coli_time 0.398 k=2
m=3.5
gionis_aggregation 0.893 k=6
m=1.5
veenman_r15 0.997 k=20
m=1.5
zahn_compound 0.833 k=4
m=1.01
synthetic_spirals 0.504 k=2
m=5.0
synthetic_cassini 0.957 k=3
m=5.0
twonorm_100d 0.97 k=3
m=1.5
twonorm_50d 0.977 k=2
m=2.25
synthetic_cuboid 1.0 k=4
m=3.5
astral1_161 0.663 k=9
m=5.0
tcga 0.963 k=20
m=5.0
bone_marrow 0.921 k=3
m=2.25
zachary 1.0 k=5
m=2.25