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Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
CLARA 0.0 metric=euclidean
k=203
samples=20		 Clustering
Self Organizing Maps 0.0 x=239
y=280		 Clustering
Spectral Clustering 0.0 k=5 Clustering
clusterdp 0.0 k=11
dc=11.112843420515242		 Clustering
HDBSCAN 0.0 minPts=12
k=137		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=99		 Clustering
c-Means 0.0 k=312
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=133 Clustering
DIANA 0.0 metric=euclidean
k=71		 Clustering
DBSCAN 0.0 eps=22.225686841030484
MinPts=260		 Clustering
Hierarchical Clustering 0.0 method=single
k=136		 Clustering
fanny 0.0 k=141
membexp=2.0		 Clustering
k-Means 0.0 k=87
nstart=10		 Clustering
DensityCut 0.0 alpha=0.06789434523809523
K=8		 Clustering
clusterONE 1.0 s=115
d=0.13333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=15.153877391611694
maxits=2000
convits=500		 Clustering
Markov Clustering 1.0 I=8.432032032032032 Clustering
Transitivity Clustering 0.0 T=25.969407501941163 Clustering
MCODE 0.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=F		 Clustering