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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=64
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=233		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=15
dc=0.10447928307660402		 Clustering
HDBSCAN 0.0 minPts=25
k=49		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=134		 Clustering
c-Means 0.0 k=49
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=148 Clustering
DIANA 0.0 metric=euclidean
k=75		 Clustering
DBSCAN 0.0 eps=1.3582306799958523
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=complete
k=209		 Clustering
fanny 0.0 k=38
membexp=5.0		 Clustering
k-Means 0.0 k=202
nstart=10		 Clustering
DensityCut 0.0 alpha=0.2777777777777778
K=35		 Clustering
clusterONE 1.0 s=167
d=0.5		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.0
maxits=5000
convits=425		 Clustering
Markov Clustering 1.0 I=6.24934934934935 Clustering
Transitivity Clustering 0.0 T=1.167155955089991 Clustering
MCODE 0.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=T		 Clustering