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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=202
samples=20		 Clustering
Self Organizing Maps 1.0 x=10
y=142		 Clustering
Spectral Clustering 1.0 k=18 Clustering
clusterdp 1.0 k=24
dc=3.6551257160830444		 Clustering
HDBSCAN 1.0 minPts=5
k=40		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=20		 Clustering
c-Means 1.0 k=7
m=1.01		 Clustering
k-Medoids (PAM) 1.0 k=51 Clustering
DIANA 1.0 metric=euclidean
k=188		 Clustering
DBSCAN 1.0 eps=2.741344287062283
MinPts=191		 Clustering
Hierarchical Clustering 1.0 method=average
k=224		 Clustering
fanny 1.0 k=45
membexp=2.0		 Clustering
k-Means 1.0 k=130
nstart=10		 Clustering
DensityCut 1.0 alpha=0.94140625
K=7		 Clustering
clusterONE 0.0 s=225
d=0.7		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=3.9162061243746904
maxits=2750
convits=350		 Clustering
Markov Clustering 0.0 I=7.9598598598598596 Clustering
Transitivity Clustering 1.0 T=3.6182765293271664 Clustering
MCODE 0.999 v=0.9
cutoff=3.589855614010133
haircut=F
fluff=F		 Clustering