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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=140
samples=20		 Clustering
Self Organizing Maps 0.0 x=385
y=239		 Clustering
Spectral Clustering 0.014 k=24 Clustering
clusterdp 0.072 k=24
dc=3.6781585066443236		 Clustering
HDBSCAN 0.0 minPts=33
k=141		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=263		 Clustering
c-Means 0.0 k=370
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=313 Clustering
DIANA 0.0 metric=euclidean
k=331		 Clustering
DBSCAN 0.0 eps=7.356317013288647
MinPts=332		 Clustering
Hierarchical Clustering 0.0 method=single
k=349		 Clustering
fanny 0.0 k=126
membexp=5.0		 Clustering
k-Means 0.0 k=339
nstart=10		 Clustering
DensityCut 0.192 alpha=0.1624503968253968
K=4		 Clustering
clusterONE 0.753 s=160
d=0.8666666666666667		 Clustering
Affinity Propagation 0.06 dampfact=0.845
preference=27.586188799832428
maxits=3500
convits=275		 Clustering
Markov Clustering 0.753 I=7.460960960960961 Clustering
Transitivity Clustering 0.0 T=35.566577751936094 Clustering
MCODE 0.043 v=0.1
cutoff=32.183886933137835
haircut=T
fluff=F		 Clustering