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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=45
samples=20		 Clustering
Self Organizing Maps 1.0 x=2
y=9		 Clustering
Spectral Clustering 1.0 k=17 Clustering
clusterdp 1.0 k=14
dc=1.1748618373124071		 Clustering
HDBSCAN 1.0 minPts=44
k=205		 Clustering
AGNES 1.0 method=average
metric=euclidean
k=15		 Clustering
c-Means 1.0 k=47
m=3.5		 Clustering
k-Medoids (PAM) 1.0 k=227 Clustering
DIANA 1.0 metric=euclidean
k=29		 Clustering
DBSCAN 1.0 eps=2.741344287062283
MinPts=191		 Clustering
Hierarchical Clustering 1.0 method=average
k=209		 Clustering
fanny 1.0 k=27
membexp=2.0		 Clustering
k-Means 1.0 k=83
nstart=10		 Clustering
DensityCut 1.0 alpha=1.0
K=12		 Clustering
clusterONE 0.0 s=59
d=0.9		 Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=1.9581030621873452
maxits=4250
convits=200		 Clustering
Markov Clustering 0.0 I=4.316116116116116 Clustering
Transitivity Clustering 1.0 T=3.661397918084045 Clustering
MCODE 0.999 v=0.8
cutoff=3.589855614010133
haircut=T
fluff=T		 Clustering