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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=206
chang_pathbased 1.0 method=average
k=87
ppi_mips 1.0 method=single
k=1057
chang_spiral 1.0 method=complete
k=287
astral_40_strsim 1.0 method=average
k=320
astral_40_seqsim_beh 1.0 method=complete
k=618
fraenti_s3 1.0 method=single
k=4954
bone_marrow_fixLabels 1.0 method=single
k=2
fu_flame 1.0 method=average
k=236
coli_state 1.0 method=average
k=177
coli_find 1.0 method=complete
k=417
coli_need 1.0 method=average
k=103
coli_time 1.0 method=complete
k=511
gionis_aggregation 1.0 method=single
k=761
veenman_r15 1.0 method=average
k=547
zahn_compound 1.0 method=average
k=115
synthetic_spirals 1.0 method=average
k=61
synthetic_cassini 1.0 method=average
k=16
twonorm_100d 1.0 method=complete
k=199
twonorm_50d 1.0 method=single
k=179
synthetic_cuboid 1.0 method=complete
k=12
astral1_161 1.0 method=single
k=149
tcga 1.0 method=single
k=258
bone_marrow 1.0 method=complete
k=33
zachary 1.0 method=single
k=5