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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=45
samples=20		 Clustering
Self Organizing Maps 0.0 x=312
y=249		 Clustering
Spectral Clustering 0.0 k=21 Clustering
clusterdp 0.0 k=5
dc=20.20516985548226		 Clustering
HDBSCAN 0.0 minPts=11
k=56		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=31		 Clustering
c-Means 0.0 k=236
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=105 Clustering
DIANA 0.0 metric=euclidean
k=201		 Clustering
DBSCAN 0.0 eps=25.25646231935282
MinPts=260		 Clustering
Hierarchical Clustering 0.0 method=average
k=193		 Clustering
fanny 0.0 k=312
membexp=1.1		 Clustering
k-Means 0.0 k=185
nstart=10		 Clustering
DensityCut 0.0 alpha=0.08035714285714286
K=6		 Clustering
clusterONE 1.0 s=218
d=0.8		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=15.153877391611694
maxits=2000
convits=500		 Clustering
Markov Clustering 1.0 I=3.2025025025025027 Clustering
Transitivity Clustering 0.0 T=26.03008368769336 Clustering
MCODE 0.0 v=0.2
cutoff=26.519285435320466
haircut=F
fluff=T		 Clustering