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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=188
samples=20		 Clustering
Self Organizing Maps 0.0 x=173
y=34		 Clustering
Spectral Clustering 0.004 k=59 Clustering
clusterdp 0.022 k=5
dc=4.895619710727704		 Clustering
HDBSCAN 0.0 minPts=76
k=200		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=200		 Clustering
c-Means 0.0 k=30
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=186 Clustering
DIANA 0.0 metric=euclidean
k=199		 Clustering
DBSCAN 0.0 eps=3.9164957685821635
MinPts=73		 Clustering
Hierarchical Clustering 0.0 method=single
k=181		 Clustering
fanny 0.0 k=87
membexp=7.33		 Clustering
k-Means 0.0 k=188
nstart=10		 Clustering
DensityCut 0.083 alpha=7.8125E-4
K=2		 Clustering
clusterONE 0.006 s=3
d=0.7		 Clustering
Markov Clustering 1.0 I=3.4964964964964964 Clustering
Transitivity Clustering 0.0 T=13.45192803398153 Clustering
MCODE 0.052 v=0.1
cutoff=4.895619710727704
haircut=T
fluff=T		 Clustering