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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=156
samples=20		 Clustering
Self Organizing Maps 0.0 x=293
y=213		 Clustering
Spectral Clustering 0.001 k=24 Clustering
clusterdp 0.009 k=24
dc=3.6781585066443236		 Clustering
HDBSCAN 0.0 minPts=13
k=79		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=204		 Clustering
c-Means 0.0 k=346
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=191 Clustering
DIANA 0.0 metric=euclidean
k=161		 Clustering
DBSCAN 0.0 eps=0.0
MinPts=385		 Clustering
Hierarchical Clustering 0.0 method=single
k=143		 Clustering
fanny 0.0 k=102
membexp=1.1		 Clustering
k-Means 0.0 k=192
nstart=10		 Clustering
DensityCut 0.065 alpha=0.15341553287981857
K=3		 Clustering
clusterONE 1.0 s=359
d=0.9333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=36.781585066443235
maxits=5000
convits=350		 Clustering
Markov Clustering 1.0 I=1.4207207207207209 Clustering
Transitivity Clustering 0.0 T=36.30294582133437 Clustering
MCODE 0.004 v=0.1
cutoff=32.183886933137835
haircut=T
fluff=T		 Clustering