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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=177
samples=20		 Clustering
Self Organizing Maps 0.0 x=788
y=735		 Clustering
Spectral Clustering 0.0 k=118 Clustering
clusterdp 0.0 k=18
dc=2.587697389143054		 Clustering
HDBSCAN 0.0 minPts=22
k=204		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=4		 Clustering
c-Means 0.0 k=44
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=779 Clustering
DIANA 0.0 metric=euclidean
k=653		 Clustering
DBSCAN 0.0 eps=6.469243472857636
MinPts=683		 Clustering
Hierarchical Clustering 0.0 method=single
k=712		 Clustering
fanny 0.0 k=70
membexp=2.0		 Clustering
k-Means 0.0 k=344
nstart=10		 Clustering
DensityCut 0.0 alpha=0.0
K=13		 Clustering
clusterONE 1.0 s=342
d=0.7666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=38.815460837145814
maxits=2750
convits=200		 Clustering
Markov Clustering 1.0 I=7.362962962962963 Clustering
Transitivity Clustering 0.0 T=37.72754001288147 Clustering
MCODE 0.0 v=0.9
cutoff=35.58083910071699
haircut=F
fluff=F		 Clustering