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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=177
samples=20		 Clustering
Self Organizing Maps 0.0 x=51
y=59		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=9
dc=0.20895856615320804		 Clustering
HDBSCAN 0.0 minPts=15
k=39		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=119		 Clustering
c-Means 0.0 k=38
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=15 Clustering
DIANA 0.0 metric=euclidean
k=183		 Clustering
DBSCAN 0.0 eps=0.36567749076811407
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=complete
k=105		 Clustering
fanny 0.0 k=60
membexp=1.1		 Clustering
k-Means 0.0 k=165
nstart=10		 Clustering
DensityCut 0.0 alpha=0.017113095238095236
K=8		 Clustering
clusterONE 0.739 s=50
d=0.8333333333333334		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=0.0
maxits=2000
convits=275		 Clustering
Markov Clustering 0.739 I=3.157957957957958 Clustering
Transitivity Clustering 0.0 T=1.1263682469820075 Clustering
MCODE 0.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=T		 Clustering