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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=101
samples=20		 Clustering
Self Organizing Maps 0.0 x=233
y=125		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=22
dc=1.4359422456040531		 Clustering
HDBSCAN 0.0 minPts=10
k=155		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=243		 Clustering
c-Means 0.0 k=58
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=241 Clustering
DIANA 0.0 metric=euclidean
k=122		 Clustering
DBSCAN 0.0 eps=2.8718844912081063
MinPts=183		 Clustering
Hierarchical Clustering 0.0 method=complete
k=211		 Clustering
fanny 0.0 k=42
membexp=2.0		 Clustering
k-Means 0.0 k=237
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9875
K=6		 Clustering
clusterONE 0.643 s=50
d=0.7333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=2.9371545932810177
maxits=2000
convits=275		 Clustering
Markov Clustering 0.643 I=3.3361361361361364 Clustering
Transitivity Clustering 0.0 T=3.0263374654827437 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=F
fluff=F		 Clustering