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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=237
samples=20		 Clustering
Self Organizing Maps 1.0 x=51
y=108		 Clustering
Spectral Clustering 0.996 k=25 Clustering
clusterdp 1.0 k=18
dc=1.3059910384575502		 Clustering
HDBSCAN 1.0 minPts=60
k=190		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=48		 Clustering
c-Means 1.0 k=37
m=1.01		 Clustering
k-Medoids (PAM) 1.0 k=136 Clustering
DIANA 1.0 metric=euclidean
k=124		 Clustering
DBSCAN 1.0 eps=0.0
MinPts=108		 Clustering
Hierarchical Clustering 1.0 method=single
k=16		 Clustering
fanny 1.0 k=45
membexp=1.1		 Clustering
k-Means 1.0 k=4
nstart=10		 Clustering
DensityCut 1.0 alpha=0.23809523809523808
K=15		 Clustering
clusterONE 0.0 s=158
d=0.03333333333333333		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=0.7835946230745302
maxits=2750
convits=425		 Clustering
Markov Clustering 0.0 I=7.665865865865866 Clustering
Transitivity Clustering 1.0 T=1.2000998731772083 Clustering
MCODE 1.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=F		 Clustering