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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 1.0 metric=euclidean
k=1
samples=20		 Clustering
Self Organizing Maps 0.496 x=2
y=1		 Clustering
Spectral Clustering 0.854 k=3 Clustering
clusterdp 1.0 k=3
dc=5.051292463870565		 Clustering
HDBSCAN 1.0 minPts=21
k=1		 Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=7		 Clustering
c-Means 0.496 k=2
m=1.01		 Clustering
k-Medoids (PAM) 0.5 k=13 Clustering
DIANA 1.0 metric=euclidean
k=2		 Clustering
DBSCAN 1.0 eps=14.14361889883758
MinPts=270		 Clustering
Hierarchical Clustering 1.0 method=complete
k=2		 Clustering
fanny 1.0 k=2
membexp=2.0		 Clustering
k-Means 0.496 k=2
nstart=10		 Clustering
DensityCut 1.0 alpha=0.05952374566169012
K=6		 Clustering
clusterONE 1.0 s=301
d=0.7333333333333333		 Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=15.153877391611694
maxits=3500
convits=200		 Clustering
Markov Clustering 1.0 I=7.336236236236235 Clustering
Transitivity Clustering 1.0 T=4.095642538273431 Clustering
MCODE 0.496 v=0.9
cutoff=17.679523623546974
haircut=F
fluff=F		 Clustering