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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 1.0 metric=euclidean
k=23
samples=20		 Clustering
Self Organizing Maps 1.0 x=183
y=92		 Clustering
Spectral Clustering 0.996 k=25 Clustering
clusterdp 1.0 k=8
dc=0.15671892461490605		 Clustering
HDBSCAN 1.0 minPts=7
k=5		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=20		 Clustering
c-Means 1.0 k=37
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=169 Clustering
DIANA 1.0 metric=euclidean
k=52		 Clustering
DBSCAN 1.0 eps=1.3059910384575502
MinPts=208		 Clustering
Hierarchical Clustering 1.0 method=average
k=215		 Clustering
fanny 1.0 k=13
membexp=5.0		 Clustering
k-Means 1.0 k=169
nstart=10		 Clustering
DensityCut 1.0 alpha=0.03968253968253968
K=25		 Clustering
clusterONE 0.0 s=225
d=0.5666666666666667		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=1.5671892461490604
maxits=3500
convits=275		 Clustering
Markov Clustering 0.0 I=2.7748748748748753 Clustering
Transitivity Clustering 1.0 T=1.1342120370027735 Clustering
MCODE 1.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=F		 Clustering