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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=652
samples=20		 Clustering
Self Organizing Maps 0.0 x=788
y=735		 Clustering
Spectral Clustering 0.006 k=62 Clustering
clusterdp 0.0 k=19
dc=2.587697389143054		 Clustering
HDBSCAN 0.0 minPts=237
k=578		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=634		 Clustering
c-Means 0.0 k=732
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=773 Clustering
DIANA 0.0 metric=euclidean
k=576		 Clustering
DBSCAN 0.0 eps=1.293848694571527
MinPts=683		 Clustering
Hierarchical Clustering 0.0 method=single
k=508		 Clustering
fanny 0.0 k=215
membexp=1.1		 Clustering
k-Means 0.0 k=344
nstart=10		 Clustering
DensityCut 0.0 alpha=1.52587890625E-5
K=10		 Clustering
clusterONE 0.783 s=709
d=0.9		 Clustering
Affinity Propagation 0.002 dampfact=0.99
preference=0.0
maxits=5000
convits=425		 Clustering
Markov Clustering 0.783 I=9.376376376376376 Clustering
Transitivity Clustering 0.0 T=38.504626315927425 Clustering
MCODE 0.001 v=0.9
cutoff=35.58083910071699
haircut=T
fluff=T		 Clustering