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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=2
samples=20		 Clustering
Self Organizing Maps 0.987 x=2
y=1		 Clustering
Spectral Clustering 1.0 k=13 Clustering
clusterdp 1.0 k=7
dc=0.9295510122873538		 Clustering
HDBSCAN 1.0 minPts=257
k=1		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=10		 Clustering
c-Means 1.0 k=2
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=8 Clustering
DIANA 1.0 metric=euclidean
k=1		 Clustering
DBSCAN 1.0 eps=3.7182040491494153
MinPts=360		 Clustering
Hierarchical Clustering 1.0 method=single
k=11		 Clustering
fanny 1.0 k=16
membexp=5.0		 Clustering
k-Means 1.0 k=2
nstart=10		 Clustering
DensityCut 1.0 alpha=1.0
K=600		 Clustering
clusterONE 1.0 s=260
d=0.16666666666666666		 Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=0.0
maxits=2750
convits=500		 Clustering
Markov Clustering 1.0 I=4.28938938938939 Clustering
Transitivity Clustering 1.0 T=10.495831249851202 Clustering
MCODE 0.909 v=0.9
cutoff=12.781326418951116
haircut=F
fluff=F		 Clustering