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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 method=single
k=110
chang_pathbased 1.0 method=single
k=152
ppi_mips 1.0 method=average
k=1080
chang_spiral 1.0 method=single
k=15
astral_40_strsim 1.0 method=complete
k=534
astral_40_seqsim_beh 1.0 method=complete
k=622
fraenti_s3 1.0 method=single
k=5000
bone_marrow_fixLabels 1.0 method=single
k=5
fu_flame 1.0 method=single
k=147
coli_state 1.0 method=complete
k=190
coli_find 1.0 method=complete
k=420
coli_need 1.0 method=complete
k=105
coli_time 1.0 method=single
k=509
gionis_aggregation 1.0 method=average
k=354
veenman_r15 1.0 method=single
k=446
zahn_compound 1.0 method=average
k=219
synthetic_spirals 1.0 method=average
k=130
synthetic_cassini 1.0 method=complete
k=17
twonorm_100d 1.0 method=complete
k=199
twonorm_50d 1.0 method=average
k=193
synthetic_cuboid 1.0 method=single
k=146
astral1_161 1.0 method=average
k=332
tcga 1.0 method=complete
k=234
bone_marrow 1.0 method=average
k=35
zachary 1.0 method=average
k=26