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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=278
samples=20		 Clustering
Self Organizing Maps 0.0 x=300
y=300		 Clustering
Spectral Clustering 0.0 k=8 Clustering
clusterdp 0.0 k=21
dc=0.9765301383526837		 Clustering
HDBSCAN 0.0 minPts=20
k=290		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=292		 Clustering
c-Means 0.0 k=209
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=272 Clustering
DIANA 0.0 metric=euclidean
k=253		 Clustering
DBSCAN 0.0 eps=1.9530602767053673
MinPts=270		 Clustering
Hierarchical Clustering 0.0 method=single
k=170		 Clustering
fanny 0.0 k=144
membexp=2.0		 Clustering
k-Means 0.0 k=140
nstart=10		 Clustering
DensityCut 0.0 alpha=0.17373866213151928
K=2		 Clustering
clusterONE 1.0 s=280
d=0.4666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=29.29590415058051
maxits=5000
convits=500		 Clustering
Markov Clustering 0.352 I=9.893093093093094 Clustering
Transitivity Clustering 0.0 T=28.856025709881102 Clustering