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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=196
samples=20		 Clustering
Self Organizing Maps 0.0 x=293
y=213		 Clustering
Spectral Clustering 0.001 k=24 Clustering
clusterdp 0.009 k=24
dc=3.6781585066443236		 Clustering
HDBSCAN 0.0 minPts=209
k=399		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=243		 Clustering
c-Means 0.0 k=58
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=220 Clustering
DIANA 0.0 metric=euclidean
k=338		 Clustering
DBSCAN 0.0 eps=7.356317013288647
MinPts=332		 Clustering
Hierarchical Clustering 0.0 method=average
k=205		 Clustering
fanny 0.0 k=169
membexp=5.0		 Clustering
k-Means 0.0 k=359
nstart=10		 Clustering
DensityCut 0.065 alpha=0.13215702947845803
K=3		 Clustering
clusterONE 1.0 s=306
d=0.9666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=36.781585066443235
maxits=2000
convits=350		 Clustering
Markov Clustering 1.0 I=7.96876876876877 Clustering
Transitivity Clustering 0.0 T=35.529759348466186 Clustering
MCODE 0.004 v=0.1
cutoff=32.183886933137835
haircut=F
fluff=F		 Clustering