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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=377
samples=20		 Clustering
Self Organizing Maps 0.0 x=788
y=735		 Clustering
Spectral Clustering 0.006 k=62 Clustering
clusterdp 0.0 k=7
dc=2.587697389143054		 Clustering
HDBSCAN 0.0 minPts=79
k=473		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=634		 Clustering
c-Means 0.0 k=653
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=729 Clustering
DIANA 0.0 metric=euclidean
k=401		 Clustering
DBSCAN 0.0 eps=1.293848694571527
MinPts=683		 Clustering
Hierarchical Clustering 0.0 method=complete
k=340		 Clustering
fanny 0.0 k=226
membexp=2.0		 Clustering
k-Means 0.0 k=553
nstart=10		 Clustering
DensityCut 0.0 alpha=1.52587890625E-5
K=10		 Clustering
clusterONE 0.783 s=499
d=0.9333333333333333		 Clustering
Affinity Propagation 0.002 dampfact=0.99
preference=0.0
maxits=5000
convits=425		 Clustering
Markov Clustering 0.783 I=2.6145145145145148 Clustering
Transitivity Clustering 0.0 T=38.66004357653662 Clustering
MCODE 0.001 v=0.7
cutoff=35.58083910071699
haircut=T
fluff=F		 Clustering