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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=66
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=250		 Clustering
Spectral Clustering 0.0 k=55 Clustering
clusterdp 0.0 k=17
dc=0.11040000000000001		 Clustering
HDBSCAN 0.0 minPts=7
k=25		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=137		 Clustering
c-Means 0.0 k=159
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=166 Clustering
DIANA 0.0 metric=euclidean
k=78		 Clustering
DBSCAN 0.0 eps=0.11040000000000001
MinPts=9		 Clustering
Hierarchical Clustering 0.0 method=average
k=169		 Clustering
fanny 0.0 k=59
membexp=5.0		 Clustering
k-Means 0.0 k=222
nstart=10		 Clustering
DensityCut 0.0 alpha=0.0357142857142857
K=5		 Clustering
clusterONE 1.0 s=1
d=0.16666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=3.3120000000000003
maxits=2750
convits=275		 Clustering
Markov Clustering 0.5 I=8.663663663663664 Clustering
Transitivity Clustering 0.0 T=3.0202522522522526 Clustering
MCODE 0.001 v=0.6
cutoff=3.036
haircut=F
fluff=T		 Clustering