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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=173
samples=20		 Clustering
Self Organizing Maps 1.0 x=250
y=216		 Clustering
Spectral Clustering 1.0 k=7 Clustering
clusterdp 1.0 k=17
dc=1.9872000000000003		 Clustering
HDBSCAN 1.0 minPts=238
k=202		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=31		 Clustering
c-Means 1.0 k=72
m=1.01		 Clustering
k-Medoids (PAM) 1.0 k=92 Clustering
DIANA 1.0 metric=euclidean
k=178		 Clustering
DBSCAN 1.0 eps=0.0
MinPts=42		 Clustering
Hierarchical Clustering 1.0 method=single
k=32		 Clustering
fanny 1.0 k=42
membexp=5.0		 Clustering
k-Means 1.0 k=132
nstart=10		 Clustering
DensityCut 1.0 alpha=0.07589285714285712
K=2		 Clustering
clusterONE 0.0 s=250
d=0.7666666666666667		 Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=3.3120000000000003
maxits=2000
convits=500		 Clustering
Markov Clustering 0.5 I=9.866366366366366 Clustering
Transitivity Clustering 1.0 T=2.960576576576577 Clustering
MCODE 0.999 v=0.7
cutoff=3.036
haircut=F
fluff=F		 Clustering