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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=2
y=183		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=21
dc=1.8275628580415222		 Clustering
HDBSCAN 0.0 minPts=35
k=188		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=237		 Clustering
c-Means 0.0 k=162
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=22 Clustering
DIANA 0.0 metric=euclidean
k=57		 Clustering
DBSCAN 0.0 eps=1.3054020414582301
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=single
k=160		 Clustering
fanny 0.0 k=37
membexp=5.0		 Clustering
k-Means 0.0 k=122
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9296875
K=3		 Clustering
clusterONE 0.643 s=75
d=0.5333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=2.9371545932810177
maxits=2750
convits=200		 Clustering
Markov Clustering 0.643 I=8.85965965965966 Clustering
Transitivity Clustering 0.0 T=3.8299633468609335 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=F
fluff=F		 Clustering