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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=241
samples=20		 Clustering
Self Organizing Maps 0.0 x=270
y=200		 Clustering
Spectral Clustering 0.0 k=8 Clustering
clusterdp 0.0 k=23
dc=0.9765301383526837		 Clustering
HDBSCAN 0.0 minPts=29
k=200		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=263		 Clustering
c-Means 0.0 k=149
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=246 Clustering
DIANA 0.0 metric=euclidean
k=115		 Clustering
DBSCAN 0.0 eps=13.671421936937572
MinPts=230		 Clustering
Hierarchical Clustering 0.0 method=single
k=270		 Clustering
fanny 0.0 k=104
membexp=1.1		 Clustering
k-Means 0.0 k=282
nstart=10		 Clustering
DensityCut 0.0 alpha=0.19117063492063488
K=2		 Clustering
clusterONE 1.0 s=40
d=0.5		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=29.29590415058051
maxits=2000
convits=275		 Clustering
Markov Clustering 0.352 I=9.777277277277276 Clustering
Transitivity Clustering 0.0 T=29.207928462440627 Clustering