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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=109
samples=20		 Clustering
Self Organizing Maps 0.0 x=43
y=225		 Clustering
Spectral Clustering 0.0 k=24 Clustering
clusterdp 0.0 k=12
dc=2.208		 Clustering
HDBSCAN 0.0 minPts=12
k=238		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=55		 Clustering
c-Means 0.0 k=129
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=248 Clustering
DIANA 0.0 metric=euclidean
k=181		 Clustering
DBSCAN 0.0 eps=3.0912
MinPts=175		 Clustering
Hierarchical Clustering 0.0 method=average
k=161		 Clustering
fanny 0.0 k=91
membexp=5.0		 Clustering
k-Means 0.0 k=144
nstart=10		 Clustering
DensityCut 0.0 alpha=0.369047619047619
K=5		 Clustering
clusterONE 0.502 s=25
d=0.7		 Clustering
Affinity Propagation 0.062 dampfact=0.845
preference=2.484
maxits=3500
convits=500		 Clustering
Markov Clustering 0.502 I=6.124624624624625 Clustering
Transitivity Clustering 0.0 T=3.245693693693694 Clustering
MCODE 0.021 v=0.6
cutoff=3.036
haircut=T
fluff=T		 Clustering