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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=28
samples=20		 Clustering
Self Organizing Maps 1.0 x=250
y=175		 Clustering
Spectral Clustering 0.996 k=25 Clustering
clusterdp 1.0 k=20
dc=1.5149496046107584		 Clustering
HDBSCAN 1.0 minPts=4
k=5		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=40		 Clustering
c-Means 1.0 k=37
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=64 Clustering
DIANA 1.0 metric=euclidean
k=111		 Clustering
DBSCAN 1.0 eps=0.2611982076915101
MinPts=17		 Clustering
Hierarchical Clustering 1.0 method=single
k=127		 Clustering
fanny 1.0 k=52
membexp=1.1		 Clustering
k-Means 1.0 k=128
nstart=10		 Clustering
DensityCut 1.0 alpha=0.034545068027210885
K=4		 Clustering
clusterONE 0.0 s=175
d=0.9		 Clustering
Affinity Propagation 1.0 dampfact=0.7725
preference=1.1753919346117954
maxits=2750
convits=500		 Clustering
Markov Clustering 0.0 I=2.9174174174174174 Clustering
Transitivity Clustering 1.0 T=1.115386940952935 Clustering
MCODE 1.0 v=0.1
cutoff=1.1753919346117954
haircut=F
fluff=T		 Clustering