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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=321
samples=20		 Clustering
Self Organizing Maps 0.0 x=399
y=359		 Clustering
Spectral Clustering 0.001 k=24 Clustering
clusterdp 0.009 k=24
dc=3.6781585066443236		 Clustering
HDBSCAN 0.0 minPts=1
k=304		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=277		 Clustering
c-Means 0.0 k=67
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=296 Clustering
DIANA 0.0 metric=euclidean
k=253		 Clustering
DBSCAN 0.0 eps=2.4521056710962155
MinPts=372		 Clustering
Hierarchical Clustering 0.0 method=complete
k=394		 Clustering
fanny 0.0 k=76
membexp=2.0		 Clustering
k-Means 0.0 k=324
nstart=10		 Clustering
DensityCut 0.065 alpha=0.1853032879818594
K=3		 Clustering
clusterONE 1.0 s=399
d=0.13333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=36.781585066443235
maxits=4250
convits=500		 Clustering
Markov Clustering 1.0 I=6.6591591591591595 Clustering
Transitivity Clustering 0.0 T=36.30294582133437 Clustering
MCODE 0.004 v=0.1
cutoff=32.183886933137835
haircut=T
fluff=F		 Clustering