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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=154
samples=20		 Clustering
Self Organizing Maps 0.0 x=312
y=249		 Clustering
Spectral Clustering 0.0 k=5 Clustering
clusterdp 0.0 k=24
dc=20.20516985548226		 Clustering
HDBSCAN 0.0 minPts=45
k=312		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=95		 Clustering
c-Means 0.0 k=214
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=280 Clustering
DIANA 0.0 metric=euclidean
k=168		 Clustering
DBSCAN 0.0 eps=0.0
MinPts=11		 Clustering
Hierarchical Clustering 0.0 method=complete
k=45		 Clustering
fanny 0.0 k=79
membexp=2.0		 Clustering
k-Means 0.0 k=204
nstart=10		 Clustering
DensityCut 0.0 alpha=0.03968253968253968
K=7		 Clustering
clusterONE 1.0 s=135
d=0.3333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=15.153877391611694
maxits=3500
convits=425		 Clustering
Markov Clustering 1.0 I=2.3917917917917917 Clustering
Transitivity Clustering 0.0 T=27.971721631763728 Clustering
MCODE 0.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=T		 Clustering