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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=179
samples=20		 Clustering
Self Organizing Maps 0.0 x=26
y=9		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=9
dc=2.741344287062283		 Clustering
HDBSCAN 0.0 minPts=74
k=163		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=64		 Clustering
c-Means 0.0 k=37
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=62 Clustering
DIANA 0.0 metric=euclidean
k=215		 Clustering
DBSCAN 0.0 eps=1.5664824497498762
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=complete
k=153		 Clustering
fanny 0.0 k=249
membexp=2.0		 Clustering
k-Means 0.0 k=112
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9375
K=5		 Clustering
clusterONE 1.0 s=183
d=0.43333333333333335		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=1.9581030621873452
maxits=3500
convits=500		 Clustering
Markov Clustering 1.0 I=2.56996996996997 Clustering
Transitivity Clustering 0.0 T=3.735880316845926 Clustering
MCODE 0.001 v=0.9
cutoff=3.589855614010133
haircut=T
fluff=T		 Clustering