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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 0.644 k=4
m=2.25
chang_pathbased 0.493 k=3
m=1.01
ppi_mips 0.024 k=719
m=2.25
chang_spiral 0.247 k=7
m=2.25
astral_40_strsim 0.295 k=193
m=2.25
astral_40_seqsim_beh 0.119 k=371
m=1.5
fraenti_s3 0.576 k=16
m=1.01
bone_marrow_fixLabels 0.611 k=4
m=1.5
fu_flame 0.611 k=5
m=5.0
coli_state 0.31 k=2
m=1.5
coli_find 0.126 k=2
m=1.5
coli_need 0.361 k=2
m=1.01
coli_time 0.257 k=2
m=1.01
gionis_aggregation 0.762 k=8
m=3.5
veenman_r15 0.987 k=20
m=1.5
zahn_compound 0.73 k=4
m=1.01
synthetic_spirals 0.33 k=3
m=5.0
synthetic_cassini 0.869 k=2
m=1.01
twonorm_100d 0.889 k=2
m=5.0
twonorm_50d 0.913 k=2
m=2.25
synthetic_cuboid 1.0 k=4
m=5.0
astral1_161 0.395 k=9
m=5.0
tcga 0.92 k=20
m=5.0
bone_marrow 0.765 k=3
m=1.5
zachary 1.0 k=3
m=1.01