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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=506
samples=20		 Clustering
Self Organizing Maps 0.0 x=101
y=40		 Clustering
Spectral Clustering 0.0 k=100 Clustering
clusterdp 0.0 k=20
dc=0.9295510122873538		 Clustering
HDBSCAN 0.0 minPts=143
k=257		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=505		 Clustering
c-Means 0.0 k=261
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=451 Clustering
DIANA 0.0 metric=euclidean
k=537		 Clustering
DBSCAN 0.0 eps=0.9295510122873538
MinPts=500		 Clustering
Hierarchical Clustering 0.0 method=complete
k=576		 Clustering
fanny 0.0 k=293
membexp=2.0		 Clustering
k-Means 0.0 k=583
nstart=10		 Clustering
DensityCut 0.0 alpha=0.42857142857142855
K=29		 Clustering
clusterONE 1.0 s=300
d=1.0		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=13.943265184310308
maxits=5000
convits=425		 Clustering
Markov Clustering 1.0 I=6.106806806806808 Clustering
Transitivity Clustering 0.0 T=13.943265184310308 Clustering
MCODE 0.001 v=0.9
cutoff=13.36229580163071
haircut=T
fluff=F		 Clustering