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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=3
samples=20		 Clustering
Self Organizing Maps 1.0 x=26
y=150		 Clustering
Spectral Clustering 1.0 k=17 Clustering
clusterdp 1.0 k=19
dc=1.4359422456040531		 Clustering
HDBSCAN 1.0 minPts=3
k=58		 Clustering
AGNES 1.0 method=average
metric=euclidean
k=41		 Clustering
c-Means 1.0 k=47
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=176 Clustering
DIANA 1.0 metric=euclidean
k=53		 Clustering
DBSCAN 1.0 eps=2.741344287062283
MinPts=191		 Clustering
Hierarchical Clustering 1.0 method=average
k=191		 Clustering
fanny 1.0 k=28
membexp=1.1		 Clustering
k-Means 1.0 k=144
nstart=10		 Clustering
DensityCut 1.0 alpha=0.7666666666666667
K=5		 Clustering
clusterONE 0.0 s=225
d=0.2		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=2.9371545932810177
maxits=5000
convits=500		 Clustering
Markov Clustering 0.0 I=4.173573573573573 Clustering
Transitivity Clustering 1.0 T=2.9008934254627334 Clustering
MCODE 0.999 v=0.6
cutoff=3.589855614010133
haircut=T
fluff=T		 Clustering