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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=56
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=225		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=15
dc=0.20895856615320804		 Clustering
HDBSCAN 0.0 minPts=5
k=12		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=207		 Clustering
c-Means 0.0 k=234
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=6 Clustering
DIANA 0.0 metric=euclidean
k=27		 Clustering
DBSCAN 0.0 eps=0.47015677384471816
MinPts=9		 Clustering
Hierarchical Clustering 0.0 method=single
k=72		 Clustering
fanny 0.0 k=73
membexp=2.0		 Clustering
k-Means 0.0 k=248
nstart=10		 Clustering
DensityCut 0.0 alpha=0.09761904761904762
K=9		 Clustering
clusterONE 1.0 s=59
d=0.3333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.5671892461490604
maxits=2750
convits=275		 Clustering
Markov Clustering 1.0 I=6.623523523523523 Clustering
Transitivity Clustering 0.0 T=1.5530704241116815 Clustering
MCODE 0.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=F		 Clustering