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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=163
samples=20		 Clustering
Self Organizing Maps 0.0 x=167
y=133		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=6
dc=0.15671892461490605		 Clustering
HDBSCAN 0.0 minPts=3
k=8		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=19		 Clustering
c-Means 0.0 k=217
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=103 Clustering
DIANA 0.0 metric=euclidean
k=6		 Clustering
DBSCAN 0.0 eps=1.3059910384575502
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=complete
k=231		 Clustering
fanny 0.0 k=9
membexp=2.0		 Clustering
k-Means 0.0 k=116
nstart=10		 Clustering
DensityCut 0.0 alpha=0.04880952380952381
K=18		 Clustering
clusterONE 0.739 s=158
d=0.2		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=0.7835946230745302
maxits=5000
convits=200		 Clustering
Markov Clustering 0.739 I=9.42982982982983 Clustering
Transitivity Clustering 0.0 T=1.4369823318043438 Clustering
MCODE 0.0 v=0.7
cutoff=1.2406914865346728
haircut=F
fluff=F		 Clustering