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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=466
samples=20		 Clustering
Self Organizing Maps 0.0 x=600
y=560		 Clustering
Spectral Clustering 0.0 k=100 Clustering
clusterdp 0.0 k=22
dc=0.9295510122873538		 Clustering
HDBSCAN 0.0 minPts=10
k=93		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=424		 Clustering
c-Means 0.0 k=539
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=502 Clustering
DIANA 0.0 metric=euclidean
k=489		 Clustering
DBSCAN 0.0 eps=0.9295510122873538
MinPts=500		 Clustering
Hierarchical Clustering 0.0 method=average
k=581		 Clustering
fanny 0.0 k=108
membexp=5.0		 Clustering
k-Means 0.0 k=419
nstart=10		 Clustering
DensityCut 0.0 alpha=0.44345238095238093
K=26		 Clustering
clusterONE 1.0 s=40
d=0.3		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=13.943265184310308
maxits=2750
convits=200		 Clustering
Markov Clustering 1.0 I=5.456456456456457 Clustering
Transitivity Clustering 0.0 T=13.859521849870005 Clustering
MCODE 0.001 v=0.9
cutoff=13.36229580163071
haircut=T
fluff=F		 Clustering