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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=182
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=241		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=2
dc=1.2537513969192484		 Clustering
HDBSCAN 0.0 minPts=1
k=131		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=25		 Clustering
c-Means 0.0 k=67
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=6 Clustering
DIANA 0.0 metric=euclidean
k=69		 Clustering
DBSCAN 0.0 eps=0.20895856615320804
MinPts=34		 Clustering
Hierarchical Clustering 0.0 method=average
k=34		 Clustering
fanny 0.0 k=6
membexp=1.1		 Clustering
k-Means 0.0 k=239
nstart=10		 Clustering
DensityCut 0.0 alpha=0.05066964285714286
K=15		 Clustering
clusterONE 1.0 s=9
d=0.13333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=1.1753919346117954
maxits=3500
convits=350		 Clustering
Markov Clustering 1.0 I=7.024424424424424 Clustering
Transitivity Clustering 0.0 T=1.5530704241116815 Clustering
MCODE 0.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=T		 Clustering