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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=26
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=84		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=18
dc=2.741344287062283		 Clustering
HDBSCAN 0.0 minPts=202
k=214		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=146		 Clustering
c-Means 0.0 k=60
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=216 Clustering
DIANA 0.0 metric=euclidean
k=218		 Clustering
DBSCAN 0.0 eps=1.6970226538956992
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=average
k=12		 Clustering
fanny 0.0 k=28
membexp=2.0		 Clustering
k-Means 0.0 k=115
nstart=10		 Clustering
DensityCut 0.0 alpha=0.94375
K=3		 Clustering
clusterONE 0.643 s=42
d=0.8666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=1.9581030621873452
maxits=3500
convits=350		 Clustering
Markov Clustering 0.643 I=5.109009009009009 Clustering
Transitivity Clustering 0.0 T=2.9636154454727386 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=T
fluff=F		 Clustering