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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=445
samples=20		 Clustering
Self Organizing Maps 1.0 x=600
y=600		 Clustering
Spectral Clustering 1.0 k=100 Clustering
clusterdp 1.0 k=24
dc=0.9295510122873538		 Clustering
HDBSCAN 1.0 minPts=600
k=343		 Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=446		 Clustering
c-Means 1.0 k=15
m=5.0		 Clustering
k-Medoids (PAM) 1.0 k=516 Clustering
DIANA 1.0 metric=euclidean
k=571		 Clustering
DBSCAN 1.0 eps=0.9295510122873538
MinPts=120		 Clustering
Hierarchical Clustering 1.0 method=average
k=475		 Clustering
fanny 1.0 k=167
membexp=5.0		 Clustering
k-Means 1.0 k=501
nstart=10		 Clustering
DensityCut 1.0 alpha=0.35416666666666663
K=26		 Clustering
clusterONE 0.0 s=340
d=0.4		 Clustering
Affinity Propagation 1.0 dampfact=0.7725
preference=13.943265184310308
maxits=4250
convits=275		 Clustering
Markov Clustering 0.0 I=2.418518518518519 Clustering
Transitivity Clustering 1.0 T=13.88743629468344 Clustering
MCODE 0.999 v=0.8
cutoff=13.36229580163071
haircut=F
fluff=F		 Clustering