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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 0.995 k=3
dc=269.4218461192632
chang_pathbased 0.506 k=20
dc=24.413253458817092
ppi_mips 0.067 k=1022
dc=0.9
chang_spiral 1.0 k=3
dc=9.092326434967017
astral_40_strsim 0.676 k=141
dc=21.834136
astral_40_seqsim_beh 0.375 k=350
dc=88.70254366999094
fraenti_s3 0.594 k=17
dc=36008.34461886732
bone_marrow_fixLabels 0.901 k=3
dc=0.06101759683428935
fu_flame 1.0 k=24
dc=1.4758472143145445
coli_state 0.405 k=5
dc=0.9036512688773783
coli_find 0.13 k=15
dc=0.9211919792434247
coli_need 0.381 k=2
dc=0.9511393567582567
coli_time 0.263 k=2
dc=0.8804646696814323
gionis_aggregation 1.0 k=8
dc=2.587697389143054
veenman_r15 0.987 k=17
dc=0.9295510122873538
zahn_compound 0.827 k=21
dc=17.164739697673507
synthetic_spirals 1.0 k=23
dc=0.8832000000000001
synthetic_cassini 1.0 k=4
dc=0.6527010207291151
twonorm_100d 0.495 k=2
dc=0.0
twonorm_50d 0.576 k=3
dc=12.72861124789203
synthetic_cuboid 1.0 k=4
dc=1.2015117553809462
astral1_161 0.433 k=12
dc=220.56273769760224
tcga 0.857 k=12
dc=0.9387704871560112
bone_marrow 0.767 k=23
dc=0.06101759683428935
zachary 0.886 k=24
dc=0.9333333333333333