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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=213
samples=20		 Clustering
Self Organizing Maps 1.0 x=233
y=233		 Clustering
Spectral Clustering 0.996 k=25 Clustering
clusterdp 1.0 k=11
dc=1.4627099630724563		 Clustering
HDBSCAN 1.0 minPts=107
k=250		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=25		 Clustering
c-Means 1.0 k=5
m=1.01		 Clustering
k-Medoids (PAM) 1.0 k=9 Clustering
DIANA 1.0 metric=euclidean
k=78		 Clustering
DBSCAN 1.0 eps=0.0
MinPts=108		 Clustering
Hierarchical Clustering 1.0 method=single
k=172		 Clustering
fanny 1.0 k=113
membexp=5.0		 Clustering
k-Means 1.0 k=195
nstart=10		 Clustering
DensityCut 1.0 alpha=0.05952380952380952
K=25		 Clustering
clusterONE 0.0 s=233
d=0.3333333333333333		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=0.3917973115372651
maxits=5000
convits=425		 Clustering
Markov Clustering 0.0 I=1.50980980980981 Clustering
Transitivity Clustering 1.0 T=1.4416886058168035 Clustering
MCODE 1.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=F		 Clustering