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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=508
samples=20		 Clustering
Self Organizing Maps 0.0 x=788
y=735		 Clustering
Spectral Clustering 0.006 k=62 Clustering
clusterdp 0.0 k=21
dc=2.587697389143054		 Clustering
HDBSCAN 0.0 minPts=63
k=342		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=480		 Clustering
c-Means 0.0 k=176
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=42 Clustering
DIANA 0.0 metric=euclidean
k=463		 Clustering
DBSCAN 0.0 eps=5.175394778286108
MinPts=604		 Clustering
Hierarchical Clustering 0.0 method=single
k=342		 Clustering
fanny 0.0 k=200
membexp=2.0		 Clustering
k-Means 0.0 k=266
nstart=10		 Clustering
DensityCut 0.0 alpha=0.0
K=13		 Clustering
clusterONE 0.783 s=735
d=0.8333333333333334		 Clustering
Affinity Propagation 0.002 dampfact=0.99
preference=9.703865209286453
maxits=4250
convits=350		 Clustering
Markov Clustering 0.783 I=5.073373373373373 Clustering
Transitivity Clustering 0.0 T=38.66004357653662 Clustering
MCODE 0.001 v=0.8
cutoff=35.58083910071699
haircut=F
fluff=F		 Clustering