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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=504
samples=20		 Clustering
Self Organizing Maps 0.0 x=788
y=604		 Clustering
Spectral Clustering 0.0 k=118 Clustering
clusterdp 0.0 k=13
dc=2.587697389143054		 Clustering
HDBSCAN 0.0 minPts=53
k=630		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=129		 Clustering
c-Means 0.0 k=732
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=646 Clustering
DIANA 0.0 metric=euclidean
k=739		 Clustering
DBSCAN 0.0 eps=3.881546083714581
MinPts=630		 Clustering
Hierarchical Clustering 0.0 method=single
k=196		 Clustering
fanny 0.0 k=167
membexp=1.1		 Clustering
k-Means 0.0 k=521
nstart=10		 Clustering
DensityCut 0.0 alpha=1.52587890625E-5
K=10		 Clustering
clusterONE 1.0 s=158
d=1.0		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=38.815460837145814
maxits=5000
convits=200		 Clustering
Markov Clustering 1.0 I=6.855155155155156 Clustering
Transitivity Clustering 0.0 T=37.64983138257687 Clustering
MCODE 0.0 v=0.7
cutoff=35.58083910071699
haircut=T
fluff=T		 Clustering