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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=56
samples=20		 Clustering
Self Organizing Maps 0.0 x=150
y=108		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=23
dc=0.5223964153830202		 Clustering
HDBSCAN 0.0 minPts=1
k=131		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=116		 Clustering
c-Means 0.0 k=45
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=210 Clustering
DIANA 0.0 metric=euclidean
k=154		 Clustering
DBSCAN 0.0 eps=1.5149496046107584
MinPts=183		 Clustering
Hierarchical Clustering 0.0 method=complete
k=38		 Clustering
fanny 0.0 k=101
membexp=5.0		 Clustering
k-Means 0.0 k=131
nstart=10		 Clustering
DensityCut 0.0 alpha=0.01984126984126984
K=10		 Clustering
clusterONE 0.739 s=250
d=0.9666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.0
maxits=4250
convits=275		 Clustering
Markov Clustering 0.739 I=5.474274274274276 Clustering
Transitivity Clustering 0.0 T=1.408744687729586 Clustering
MCODE 0.0 v=0.7
cutoff=1.2406914865346728
haircut=T
fluff=F		 Clustering