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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=222
samples=20		 Clustering
Self Organizing Maps 1.0 x=2
y=191		 Clustering
Spectral Clustering 1.0 k=22 Clustering
clusterdp 1.0 k=24
dc=1.3248		 Clustering
HDBSCAN 1.0 minPts=238
k=202		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=67		 Clustering
c-Means 1.0 k=177
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=85 Clustering
DIANA 1.0 metric=euclidean
k=101		 Clustering
DBSCAN 1.0 eps=0.3312
MinPts=75		 Clustering
Hierarchical Clustering 1.0 method=complete
k=75		 Clustering
fanny 1.0 k=83
membexp=1.1		 Clustering
k-Means 1.0 k=209
nstart=10		 Clustering
DensityCut 1.0 alpha=0.0357142857142857
K=5		 Clustering
clusterONE 0.0 s=200
d=0.9		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=3.3120000000000003
maxits=4250
convits=200		 Clustering
Markov Clustering 0.5 I=8.895295295295295 Clustering
Transitivity Clustering 1.0 T=2.99372972972973 Clustering
MCODE 0.999 v=0.6
cutoff=3.036
haircut=T
fluff=T		 Clustering