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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=125
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=208		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=22
dc=2.3497236746248142		 Clustering
HDBSCAN 0.0 minPts=5
k=64		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=158		 Clustering
c-Means 0.0 k=189
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=238 Clustering
DIANA 0.0 metric=euclidean
k=132		 Clustering
DBSCAN 0.0 eps=1.3054020414582301
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=single
k=23		 Clustering
fanny 0.0 k=4
membexp=5.0		 Clustering
k-Means 0.0 k=132
nstart=10		 Clustering
DensityCut 0.0 alpha=1.0
K=3		 Clustering
clusterONE 0.643 s=167
d=0.36666666666666664		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=2.9371545932810177
maxits=2750
convits=200		 Clustering
Markov Clustering 0.643 I=8.601301301301302 Clustering
Transitivity Clustering 0.0 T=3.1674620105052553 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=F
fluff=F		 Clustering