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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=41
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=84		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=8
dc=0.261080408291646		 Clustering
HDBSCAN 0.0 minPts=25
k=155		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=51		 Clustering
c-Means 0.0 k=37
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=112 Clustering
DIANA 0.0 metric=euclidean
k=202		 Clustering
DBSCAN 0.0 eps=0.130540204145823
MinPts=67		 Clustering
Hierarchical Clustering 0.0 method=average
k=131		 Clustering
fanny 0.0 k=69
membexp=5.0		 Clustering
k-Means 0.0 k=67
nstart=10		 Clustering
DensityCut 0.0 alpha=0.93359375
K=5		 Clustering
clusterONE 1.0 s=50
d=0.13333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=2.9371545932810177
maxits=5000
convits=350		 Clustering
Markov Clustering 1.0 I=3.2826826826826827 Clustering
Transitivity Clustering 0.0 T=2.771529259192098 Clustering
MCODE 0.001 v=0.6
cutoff=3.589855614010133
haircut=F
fluff=T		 Clustering