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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=225
samples=20		 Clustering
Self Organizing Maps 0.0 x=26
y=191		 Clustering
Spectral Clustering 0.0 k=55 Clustering
clusterdp 0.0 k=18
dc=1.9872000000000003		 Clustering
HDBSCAN 0.0 minPts=7
k=11		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=76		 Clustering
c-Means 0.0 k=64
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=176 Clustering
DIANA 0.0 metric=euclidean
k=78		 Clustering
DBSCAN 0.0 eps=2.3184
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=average
k=212		 Clustering
fanny 0.0 k=118
membexp=5.0		 Clustering
k-Means 0.0 k=137
nstart=10		 Clustering
DensityCut 0.0 alpha=0.06428571428571428
K=5		 Clustering
clusterONE 1.0 s=75
d=0.6333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=3.3120000000000003
maxits=4250
convits=425		 Clustering
Markov Clustering 0.5 I=9.652552552552553 Clustering
Transitivity Clustering 0.0 T=2.973837837837838 Clustering
MCODE 0.001 v=0.6
cutoff=3.036
haircut=F
fluff=T		 Clustering