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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=276
samples=20		 Clustering
Self Organizing Maps 0.0 x=300
y=230		 Clustering
Spectral Clustering 0.0 k=8 Clustering
clusterdp 0.0 k=21
dc=0.9765301383526837		 Clustering
HDBSCAN 0.0 minPts=86
k=257		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=114		 Clustering
c-Means 0.0 k=155
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=161 Clustering
DIANA 0.0 metric=euclidean
k=178		 Clustering
DBSCAN 0.0 eps=0.9765301383526837
MinPts=50		 Clustering
Hierarchical Clustering 0.0 method=single
k=208		 Clustering
fanny 0.0 k=153
membexp=2.0		 Clustering
k-Means 0.0 k=275
nstart=10		 Clustering
DensityCut 0.0 alpha=0.1040107709750567
K=2		 Clustering
clusterONE 1.0 s=130
d=0.36666666666666664		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=29.29590415058051
maxits=3500
convits=500		 Clustering
Markov Clustering 0.352 I=9.27837837837838 Clustering
Transitivity Clustering 0.0 T=28.797375251121178 Clustering