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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 0.562 k=14
m=1.5
chang_pathbased 0.542 k=3
m=2.25
ppi_mips 0.012 k=13
m=5.0
chang_spiral 0.478 k=37
m=2.25
astral_40_strsim 0.075 k=107
m=5.0
astral_40_seqsim_beh 0.058 k=455
m=1.01
fraenti_s3 0.481 k=16
m=1.01
bone_marrow_fixLabels 0.26 k=4
m=1.5
fu_flame 0.443 k=2
m=3.5
coli_state 0.483 k=2
m=1.5
coli_find 0.636 k=2
m=1.01
coli_need 0.651 k=2
m=1.5
coli_time 0.728 k=2
m=1.5
gionis_aggregation 0.524 k=4
m=1.5
veenman_r15 0.753 k=20
m=1.5
zahn_compound 0.638 k=2
m=2.25
synthetic_spirals 0.397 k=52
m=1.5
synthetic_cassini 0.51 k=7
m=1.5
twonorm_100d 0.069 k=20
m=2.25
twonorm_50d 0.091 k=13
m=5.0
synthetic_cuboid 0.563 k=6
m=5.0
astral1_161 0.066 k=98
m=2.25
tcga 0.18 k=3
m=2.25
bone_marrow 0.352 k=4
m=5.0
zachary 0.156 k=11
m=5.0