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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=484
samples=20		 Clustering
Self Organizing Maps 0.0 x=600
y=600		 Clustering
Spectral Clustering 0.013 k=39 Clustering
clusterdp 0.003 k=17
dc=0.9295510122873538		 Clustering
HDBSCAN 0.0 minPts=48
k=321		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=512		 Clustering
c-Means 0.0 k=473
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=531 Clustering
DIANA 0.0 metric=euclidean
k=561		 Clustering
DBSCAN 0.0 eps=0.4647755061436769
MinPts=280		 Clustering
Hierarchical Clustering 0.0 method=average
k=515		 Clustering
fanny 0.0 k=268
membexp=2.0		 Clustering
k-Means 0.0 k=533
nstart=10		 Clustering
DensityCut 0.007 alpha=0.40595238095238095
K=29		 Clustering
clusterONE 0.935 s=540
d=0.7333333333333333		 Clustering
Affinity Propagation 0.004 dampfact=0.99
preference=10.457448888232731
maxits=2750
convits=350		 Clustering
Markov Clustering 0.935 I=3.7815815815815816 Clustering
Transitivity Clustering 0.0 T=13.88743629468344 Clustering
MCODE 0.017 v=0.4
cutoff=12.781326418951116
haircut=T
fluff=F		 Clustering