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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=560
samples=20		 Clustering
Self Organizing Maps 0.0 x=600
y=560		 Clustering
Spectral Clustering 0.013 k=39 Clustering
clusterdp 0.003 k=17
dc=0.9295510122873538		 Clustering
HDBSCAN 0.0 minPts=29
k=542		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=417		 Clustering
c-Means 0.0 k=467
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=472 Clustering
DIANA 0.0 metric=euclidean
k=499		 Clustering
DBSCAN 0.0 eps=0.9295510122873538
MinPts=500		 Clustering
Hierarchical Clustering 0.0 method=single
k=545		 Clustering
fanny 0.0 k=272
membexp=2.0		 Clustering
k-Means 0.0 k=494
nstart=10		 Clustering
DensityCut 0.007 alpha=0.37470238095238095
K=27		 Clustering
clusterONE 0.935 s=460
d=0.03333333333333333		 Clustering
Affinity Propagation 0.004 dampfact=0.7725
preference=10.457448888232731
maxits=2750
convits=500		 Clustering
Markov Clustering 0.935 I=2.2848848848848853 Clustering
Transitivity Clustering 0.0 T=13.88743629468344 Clustering
MCODE 0.017 v=0.5
cutoff=12.781326418951116
haircut=F
fluff=F		 Clustering