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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=571
samples=20		 Clustering
Self Organizing Maps 0.0 x=600
y=600		 Clustering
Spectral Clustering 0.0 k=100 Clustering
clusterdp 0.0 k=25
dc=0.9295510122873538		 Clustering
HDBSCAN 0.0 minPts=17
k=95		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=468		 Clustering
c-Means 0.0 k=539
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=528 Clustering
DIANA 0.0 metric=euclidean
k=551		 Clustering
DBSCAN 0.0 eps=0.9295510122873538
MinPts=500		 Clustering
Hierarchical Clustering 0.0 method=average
k=542		 Clustering
fanny 0.0 k=214
membexp=1.1		 Clustering
k-Means 0.0 k=587
nstart=10		 Clustering
DensityCut 0.0 alpha=0.8571428571428571
K=29		 Clustering
clusterONE 1.0 s=280
d=0.6333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=10.457448888232731
maxits=5000
convits=500		 Clustering
Markov Clustering 1.0 I=1.2514514514514514 Clustering
Transitivity Clustering 0.0 T=13.88743629468344 Clustering
MCODE 0.001 v=0.9
cutoff=13.36229580163071
haircut=T
fluff=F		 Clustering