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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=239
samples=20		 Clustering
Self Organizing Maps 0.0 x=33
y=8		 Clustering
Spectral Clustering 0.002 k=34 Clustering
clusterdp 0.0 k=10
dc=7.379236071572722		 Clustering
HDBSCAN 0.0 minPts=96
k=240		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=15		 Clustering
c-Means 0.0 k=158
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=166 Clustering
DIANA 0.0 metric=euclidean
k=168		 Clustering
DBSCAN 0.0 eps=3.9355925715054516
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=average
k=115		 Clustering
fanny 0.0 k=118
membexp=1.1		 Clustering
k-Means 0.0 k=154
nstart=10		 Clustering
DensityCut 0.0 alpha=0.6464285714285714
K=9		 Clustering
clusterONE 1.0 s=56
d=0.9666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=14.758472143145443
maxits=3500
convits=425		 Clustering
Markov Clustering 1.0 I=9.073473473473474 Clustering
Transitivity Clustering 0.0 T=13.576612512062725 Clustering
MCODE 0.009 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering