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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 0.498 metric=euclidean
k=1
samples=20		 Clustering
Self Organizing Maps 0.33 x=2
y=1		 Clustering
Spectral Clustering 0.499 k=2 Clustering
clusterdp 1.0 k=5
dc=1.3248		 Clustering
HDBSCAN 1.0 minPts=6
k=2		 Clustering
AGNES 1.0 method=complete
metric=euclidean
k=2		 Clustering
c-Means 0.33 k=2
m=1.5		 Clustering
k-Medoids (PAM) 0.33 k=2 Clustering
DIANA 0.498 metric=euclidean
k=1		 Clustering
DBSCAN 1.0 eps=1.5456
MinPts=233		 Clustering
Hierarchical Clustering 1.0 method=average
k=2		 Clustering
fanny 0.498 k=2
membexp=1.1		 Clustering
k-Means 0.33 k=2
nstart=10		 Clustering
DensityCut 1.0 alpha=0.016741071428571418
K=7		 Clustering
clusterONE 0.498 s=108
d=0.13333333333333333		 Clustering
Affinity Propagation 0.498 dampfact=0.99
preference=0.8280000000000001
maxits=4250
convits=500		 Clustering
Markov Clustering 0.498 I=1.411811811811812 Clustering
Transitivity Clustering 0.498 T=1.2565045045045045 Clustering
MCODE 0.436 v=0.2
cutoff=1.2420000000000002
haircut=T
fluff=T		 Clustering