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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=64
samples=20		 Clustering
Self Organizing Maps 0.0 x=26
y=92		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=9
dc=1.3582306799958523		 Clustering
HDBSCAN 0.0 minPts=7
k=14		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=128		 Clustering
c-Means 0.0 k=212
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=6 Clustering
DIANA 0.0 metric=euclidean
k=10		 Clustering
DBSCAN 0.0 eps=1.3582306799958523
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=average
k=212		 Clustering
fanny 0.0 k=74
membexp=2.0		 Clustering
k-Means 0.0 k=75
nstart=10		 Clustering
DensityCut 0.0 alpha=0.5714285714285714
K=12		 Clustering
clusterONE 1.0 s=92
d=0.3		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.3917973115372651
maxits=2750
convits=275		 Clustering
Markov Clustering 1.0 I=7.7994994994995 Clustering
Transitivity Clustering 0.0 T=1.4134509617420454 Clustering
MCODE 0.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=T		 Clustering