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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=367
samples=20		 Clustering
Self Organizing Maps 0.0 x=399
y=359		 Clustering
Spectral Clustering 0.014 k=24 Clustering
clusterdp 0.072 k=24
dc=3.6781585066443236		 Clustering
HDBSCAN 0.0 minPts=33
k=141		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=200		 Clustering
c-Means 0.0 k=342
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=251 Clustering
DIANA 0.0 metric=euclidean
k=213		 Clustering
DBSCAN 0.0 eps=12.260528355481078
MinPts=306		 Clustering
Hierarchical Clustering 0.0 method=single
k=201		 Clustering
fanny 0.0 k=129
membexp=1.1		 Clustering
k-Means 0.0 k=246
nstart=10		 Clustering
DensityCut 0.192 alpha=0.15341553287981857
K=10		 Clustering
clusterONE 0.753 s=213
d=1.0		 Clustering
Affinity Propagation 0.06 dampfact=0.845
preference=27.586188799832428
maxits=5000
convits=200		 Clustering
Markov Clustering 0.753 I=4.815015015015016 Clustering
Transitivity Clustering 0.0 T=35.640214558875925 Clustering
MCODE 0.043 v=0.1
cutoff=32.183886933137835
haircut=T
fluff=F		 Clustering