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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=225
samples=20		 Clustering
Self Organizing Maps 1.0 x=183
y=150		 Clustering
Spectral Clustering 1.0 k=12 Clustering
clusterdp 1.0 k=17
dc=2.9808000000000003		 Clustering
HDBSCAN 1.0 minPts=4
k=12		 Clustering
AGNES 1.0 method=ward
metric=euclidean
k=152		 Clustering
c-Means 1.0 k=99
m=1.01		 Clustering
k-Medoids (PAM) 1.0 k=205 Clustering
DIANA 1.0 metric=euclidean
k=143		 Clustering
DBSCAN 1.0 eps=0.552
MinPts=17		 Clustering
Hierarchical Clustering 1.0 method=single
k=22		 Clustering
fanny 1.0 k=102
membexp=5.0		 Clustering
k-Means 1.0 k=98
nstart=10		 Clustering
DensityCut 1.0 alpha=0.03191964285714284
K=2		 Clustering
clusterONE 0.0 s=208
d=0.5666666666666667		 Clustering
Affinity Propagation 1.0 dampfact=0.7725
preference=3.3120000000000003
maxits=3500
convits=275		 Clustering
Markov Clustering 0.5 I=9.670370370370371 Clustering
Transitivity Clustering 1.0 T=3.202594594594595 Clustering
MCODE 0.999 v=0.6
cutoff=3.036
haircut=T
fluff=T		 Clustering