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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 1.0 metric=euclidean
k=1
samples=20		 Clustering
Self Organizing Maps 0.921 x=2
y=1		 Clustering
Spectral Clustering 0.976 k=17 Clustering
clusterdp 1.0 k=24
dc=540125.1692830098		 Clustering
HDBSCAN 1.0 minPts=1000
k=1		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=122		 Clustering
c-Means 0.918 k=2
m=1.01		 Clustering
k-Medoids (PAM) 0.938 k=2 Clustering
DIANA 1.0 metric=euclidean
k=2		 Clustering
DBSCAN 1.0 eps=36008.34461886732
MinPts=1		 Clustering
Hierarchical Clustering 1.0 method=average
k=2		 Clustering
fanny 1.0 k=2
membexp=5.0		 Clustering
k-Means 0.923 k=52
nstart=10		 Clustering
DensityCut 1.0 alpha=0.2857142857142857
K=477		 Clustering
clusterONE 1.0 s=1
d=0.5333333333333333		 Clustering
Affinity Propagation 0.243 dampfact=0.7725
preference=0.0
maxits=2000
convits=350		 Clustering
Markov Clustering 1.0 I=3.0154154154154154 Clustering
Transitivity Clustering 1.0 T=488761.91494678764 Clustering
MCODE 0.836 v=0.1
cutoff=990229.4770188513
haircut=T
fluff=T		 Clustering