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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=109
samples=20		 Clustering
Self Organizing Maps 0.0 x=26
y=191		 Clustering
Spectral Clustering 0.0 k=55 Clustering
clusterdp 0.0 k=3
dc=0.8832000000000001		 Clustering
HDBSCAN 0.0 minPts=12
k=238		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=122		 Clustering
c-Means 0.0 k=197
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=188 Clustering
DIANA 0.0 metric=euclidean
k=179		 Clustering
DBSCAN 0.0 eps=0.8832000000000001
MinPts=9		 Clustering
Hierarchical Clustering 0.0 method=single
k=237		 Clustering
fanny 0.0 k=91
membexp=5.0		 Clustering
k-Means 0.0 k=185
nstart=10		 Clustering
DensityCut 0.0 alpha=0.035713996206011074
K=4		 Clustering
clusterONE 0.502 s=225
d=0.8		 Clustering
Affinity Propagation 0.062 dampfact=0.7
preference=3.3120000000000003
maxits=2000
convits=200		 Clustering
Markov Clustering 0.502 I=6.926426426426427 Clustering
Transitivity Clustering 0.0 T=3.1064504504504504 Clustering
MCODE 0.021 v=0.7
cutoff=3.036
haircut=T
fluff=T		 Clustering