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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=57
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=233		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=2
dc=0.3134378492298121		 Clustering
HDBSCAN 0.0 minPts=1
k=131		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=18		 Clustering
c-Means 0.0 k=72
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=248 Clustering
DIANA 0.0 metric=euclidean
k=4		 Clustering
DBSCAN 0.0 eps=0.3134378492298121
MinPts=17		 Clustering
Hierarchical Clustering 0.0 method=average
k=130		 Clustering
fanny 0.0 k=63
membexp=1.1		 Clustering
k-Means 0.0 k=71
nstart=10		 Clustering
DensityCut 0.0 alpha=0.04761858213515509
K=11		 Clustering
clusterONE 0.739 s=150
d=0.7333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=0.7835946230745302
maxits=3500
convits=200		 Clustering
Markov Clustering 0.739 I=2.3116116116116117 Clustering
Transitivity Clustering 0.0 T=1.2942253534264012 Clustering
MCODE 0.0 v=0.2
cutoff=1.3059910384575504
haircut=T
fluff=T		 Clustering