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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=539
samples=20		 Clustering
Self Organizing Maps 0.0 x=600
y=560		 Clustering
Spectral Clustering 0.0 k=100 Clustering
clusterdp 0.0 k=25
dc=0.9295510122873538		 Clustering
HDBSCAN 0.0 minPts=12
k=140		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=505		 Clustering
c-Means 0.0 k=130
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=529 Clustering
DIANA 0.0 metric=euclidean
k=539		 Clustering
DBSCAN 0.0 eps=0.4647755061436769
MinPts=280		 Clustering
Hierarchical Clustering 0.0 method=average
k=578		 Clustering
fanny 0.0 k=174
membexp=5.0		 Clustering
k-Means 0.0 k=524
nstart=10		 Clustering
DensityCut 0.0 alpha=0.3809485662551153
K=28		 Clustering
clusterONE 1.0 s=420
d=0.6666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=13.943265184310308
maxits=2750
convits=275		 Clustering
Markov Clustering 1.0 I=3.5321321321321326 Clustering
Transitivity Clustering 0.0 T=13.88743629468344 Clustering
MCODE 0.001 v=0.9
cutoff=13.36229580163071
haircut=T
fluff=F		 Clustering