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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=239
samples=20		 Clustering
Self Organizing Maps 0.0 x=10
y=133		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=24
dc=0.47015677384471816		 Clustering
HDBSCAN 0.0 minPts=7
k=8		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=53		 Clustering
c-Means 0.0 k=45
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=248 Clustering
DIANA 0.0 metric=euclidean
k=32		 Clustering
DBSCAN 0.0 eps=1.3582306799958523
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=average
k=128		 Clustering
fanny 0.0 k=61
membexp=5.0		 Clustering
k-Means 0.0 k=182
nstart=10		 Clustering
DensityCut 0.0 alpha=0.017113095238095236
K=14		 Clustering
clusterONE 0.739 s=241
d=0.36666666666666664		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.0
maxits=4250
convits=425		 Clustering
Markov Clustering 0.739 I=6.267167167167167 Clustering
Transitivity Clustering 0.0 T=1.4338448157960373 Clustering
MCODE 0.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=T		 Clustering