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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=131
samples=20		 Clustering
Self Organizing Maps 1.0 x=250
y=250		 Clustering
Spectral Clustering 1.0 k=12 Clustering
clusterdp 1.0 k=4
dc=1.8768		 Clustering
HDBSCAN 1.0 minPts=12
k=22		 Clustering
AGNES 1.0 method=complete
metric=euclidean
k=4		 Clustering
c-Means 1.0 k=37
m=3.5		 Clustering
k-Medoids (PAM) 1.0 k=54 Clustering
DIANA 1.0 metric=euclidean
k=127		 Clustering
DBSCAN 1.0 eps=3.0912
MinPts=175		 Clustering
Hierarchical Clustering 1.0 method=complete
k=91		 Clustering
fanny 1.0 k=94
membexp=2.0		 Clustering
k-Means 1.0 k=206
nstart=10		 Clustering
DensityCut 1.0 alpha=0.016741071428571418
K=5		 Clustering
clusterONE 0.0 s=233
d=0.7		 Clustering
Affinity Propagation 1.0 dampfact=0.7725
preference=3.3120000000000003
maxits=5000
convits=350		 Clustering
Markov Clustering 0.5 I=9.403103103103104 Clustering
Transitivity Clustering 1.0 T=3.2324324324324327 Clustering
MCODE 0.999 v=0.9
cutoff=3.036
haircut=F
fluff=F		 Clustering