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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 1.0 metric=euclidean
k=22
samples=20		 Clustering
Self Organizing Maps 1.0 x=167
y=133		 Clustering
Spectral Clustering 0.996 k=25 Clustering
clusterdp 1.0 k=18
dc=1.4104703215341545		 Clustering
HDBSCAN 1.0 minPts=7
k=10		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=67		 Clustering
c-Means 1.0 k=4
m=2.25		 Clustering
k-Medoids (PAM) 1.0 k=236 Clustering
DIANA 1.0 metric=euclidean
k=78		 Clustering
DBSCAN 1.0 eps=0.7313549815362281
MinPts=175		 Clustering
Hierarchical Clustering 1.0 method=single
k=122		 Clustering
fanny 1.0 k=67
membexp=1.1		 Clustering
k-Means 1.0 k=26
nstart=10		 Clustering
DensityCut 1.0 alpha=0.078125
K=19		 Clustering
clusterONE 0.0 s=183
d=0.6333333333333333		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=1.5671892461490604
maxits=2000
convits=425		 Clustering
Markov Clustering 0.0 I=1.598898898898899 Clustering
Transitivity Clustering 1.0 T=1.1185244569612414 Clustering
MCODE 1.0 v=0.7
cutoff=1.2406914865346728
haircut=T
fluff=T		 Clustering