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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=208
samples=20		 Clustering
Self Organizing Maps 0.0 x=134
y=175		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=21
dc=1.044321633166584		 Clustering
HDBSCAN 0.0 minPts=7
k=52		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=9		 Clustering
c-Means 0.0 k=62
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=33 Clustering
DIANA 0.0 metric=euclidean
k=119		 Clustering
DBSCAN 0.0 eps=1.8275628580415222
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=complete
k=207		 Clustering
fanny 0.0 k=74
membexp=5.0		 Clustering
k-Means 0.0 k=198
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9333333333333333
K=5		 Clustering
clusterONE 0.643 s=100
d=0.03333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=2.9371545932810177
maxits=3500
convits=200		 Clustering
Markov Clustering 0.643 I=3.46976976976977 Clustering
Transitivity Clustering 0.0 T=3.4693117318034044 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=F
fluff=F		 Clustering