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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=141
samples=20		 Clustering
Self Organizing Maps 0.0 x=18
y=84		 Clustering
Spectral Clustering 0.0 k=34 Clustering
clusterdp 0.0 k=9
dc=1.5456		 Clustering
HDBSCAN 0.0 minPts=15
k=13		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=131		 Clustering
c-Means 0.0 k=197
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=138 Clustering
DIANA 0.0 metric=euclidean
k=243		 Clustering
DBSCAN 0.0 eps=0.44160000000000005
MinPts=59		 Clustering
Hierarchical Clustering 0.0 method=single
k=149		 Clustering
fanny 0.0 k=112
membexp=2.0		 Clustering
k-Means 0.0 k=68
nstart=10		 Clustering
DensityCut 0.0 alpha=0.03334263392857141
K=5		 Clustering
clusterONE 0.502 s=108
d=0.03333333333333333		 Clustering
Affinity Propagation 0.062 dampfact=0.845
preference=2.484
maxits=3500
convits=500		 Clustering
Markov Clustering 0.502 I=7.006606606606607 Clustering
Transitivity Clustering 0.0 T=3.0699819819819822 Clustering
MCODE 0.021 v=0.9
cutoff=3.036
haircut=T
fluff=T		 Clustering