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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=236
samples=20		 Clustering
Self Organizing Maps 0.0 x=150
y=108		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=10
dc=1.2015117553809462		 Clustering
HDBSCAN 0.0 minPts=25
k=20		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=64		 Clustering
c-Means 0.0 k=13
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=82 Clustering
DIANA 0.0 metric=euclidean
k=223		 Clustering
DBSCAN 0.0 eps=1.3059910384575502
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=single
k=9		 Clustering
fanny 0.0 k=10
membexp=2.0		 Clustering
k-Means 0.0 k=112
nstart=10		 Clustering
DensityCut 0.0 alpha=0.17857142857142855
K=10		 Clustering
clusterONE 0.739 s=250
d=1.0		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.1753919346117954
maxits=2750
convits=275		 Clustering
Markov Clustering 0.739 I=1.108908908908909 Clustering
Transitivity Clustering 0.0 T=1.0824430228657174 Clustering
MCODE 0.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=T		 Clustering