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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=58
samples=20		 Clustering
Self Organizing Maps 1.0 x=2
y=191		 Clustering
Spectral Clustering 1.0 k=15 Clustering
clusterdp 1.0 k=17
dc=0.7728		 Clustering
HDBSCAN 1.0 minPts=84
k=250		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=204		 Clustering
c-Means 1.0 k=39
m=2.25		 Clustering
k-Medoids (PAM) 1.0 k=227 Clustering
DIANA 1.0 metric=euclidean
k=117		 Clustering
DBSCAN 1.0 eps=2.3184
MinPts=200		 Clustering
Hierarchical Clustering 1.0 method=complete
k=83		 Clustering
fanny 1.0 k=86
membexp=2.0		 Clustering
k-Means 1.0 k=112
nstart=10		 Clustering
DensityCut 1.0 alpha=0.3357142857142857
K=5		 Clustering
clusterONE 0.0 s=250
d=0.6333333333333333		 Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=3.3120000000000003
maxits=4250
convits=350		 Clustering
Markov Clustering 0.5 I=9.75055055055055 Clustering
Transitivity Clustering 1.0 T=3.2954234234234234 Clustering
MCODE 0.999 v=0.7
cutoff=3.036
haircut=T
fluff=T		 Clustering