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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=249
samples=20		 Clustering
Self Organizing Maps 0.0 x=150
y=108		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=12
dc=1.4104703215341545		 Clustering
HDBSCAN 0.0 minPts=23
k=20		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=234		 Clustering
c-Means 0.0 k=13
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=82 Clustering
DIANA 0.0 metric=euclidean
k=17		 Clustering
DBSCAN 0.0 eps=1.3582306799958523
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=single
k=8		 Clustering
fanny 0.0 k=83
membexp=5.0		 Clustering
k-Means 0.0 k=6
nstart=10		 Clustering
DensityCut 0.0 alpha=0.017113095238095236
K=14		 Clustering
clusterONE 0.739 s=117
d=0.6333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.7835946230745302
maxits=4250
convits=275		 Clustering
Markov Clustering 0.739 I=9.5990990990991 Clustering
Transitivity Clustering 0.0 T=1.1326432789986203 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=F		 Clustering