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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=8
samples=20		 Clustering
Self Organizing Maps 0.0 x=26
y=92		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=8
dc=0.5746360569213221		 Clustering
HDBSCAN 0.0 minPts=1
k=131		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=131		 Clustering
c-Means 0.0 k=55
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=197 Clustering
DIANA 0.0 metric=euclidean
k=152		 Clustering
DBSCAN 0.0 eps=1.3059910384575502
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=single
k=248		 Clustering
fanny 0.0 k=75
membexp=5.0		 Clustering
k-Means 0.0 k=233
nstart=10		 Clustering
DensityCut 0.0 alpha=0.09761904761904762
K=12		 Clustering
clusterONE 0.739 s=233
d=0.5333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=1.1753919346117954
maxits=2750
convits=275		 Clustering
Markov Clustering 0.739 I=7.7994994994995 Clustering
Transitivity Clustering 0.0 T=1.549932908103375 Clustering
MCODE 0.0 v=0.7
cutoff=1.2406914865346728
haircut=F
fluff=T		 Clustering