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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=20
samples=20		 Clustering
Self Organizing Maps 0.0 x=126
y=17		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=13
dc=0.522160816583292		 Clustering
HDBSCAN 0.0 minPts=3
k=79		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=51		 Clustering
c-Means 0.0 k=6
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=220 Clustering
DIANA 0.0 metric=euclidean
k=131		 Clustering
DBSCAN 0.0 eps=2.219183470478991
MinPts=191		 Clustering
Hierarchical Clustering 0.0 method=single
k=160		 Clustering
fanny 0.0 k=37
membexp=1.1		 Clustering
k-Means 0.0 k=71
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9421875
K=3		 Clustering
clusterONE 1.0 s=158
d=0.9333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=2.9371545932810177
maxits=2750
convits=275		 Clustering
Markov Clustering 1.0 I=6.436436436436437 Clustering
Transitivity Clustering 0.0 T=3.9162061243746904 Clustering
MCODE 0.001 v=0.6
cutoff=3.589855614010133
haircut=F
fluff=F		 Clustering