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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=47
samples=20		 Clustering
Self Organizing Maps 0.0 x=68
y=183		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=24
dc=0.7832412248749381		 Clustering
HDBSCAN 0.0 minPts=10
k=79		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=158		 Clustering
c-Means 0.0 k=60
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=5 Clustering
DIANA 0.0 metric=euclidean
k=154		 Clustering
DBSCAN 0.0 eps=0.6527010207291151
MinPts=250		 Clustering
Hierarchical Clustering 0.0 method=complete
k=52		 Clustering
fanny 0.0 k=78
membexp=1.1		 Clustering
k-Means 0.0 k=121
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9374999990686774
K=5		 Clustering
clusterONE 1.0 s=100
d=0.8666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=2.9371545932810177
maxits=5000
convits=500		 Clustering
Markov Clustering 1.0 I=5.42082082082082 Clustering
Transitivity Clustering 0.0 T=2.8028902691971007 Clustering
MCODE 0.001 v=0.9
cutoff=3.589855614010133
haircut=T
fluff=T		 Clustering