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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=98
samples=20		 Clustering
Self Organizing Maps 1.0 x=250
y=216		 Clustering
Spectral Clustering 1.0 k=47 Clustering
clusterdp 1.0 k=6
dc=1.3248		 Clustering
HDBSCAN 1.0 minPts=5
k=8		 Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=213		 Clustering
c-Means 1.0 k=49
m=3.5		 Clustering
k-Medoids (PAM) 1.0 k=61 Clustering
DIANA 1.0 metric=euclidean
k=75		 Clustering
DBSCAN 1.0 eps=2.208
MinPts=183		 Clustering
Hierarchical Clustering 1.0 method=single
k=64		 Clustering
fanny 1.0 k=86
membexp=1.1		 Clustering
k-Means 1.0 k=207
nstart=10		 Clustering
DensityCut 1.0 alpha=0.06904761904761904
K=5		 Clustering
clusterONE 0.0 s=191
d=0.13333333333333333		 Clustering
Affinity Propagation 1.0 dampfact=0.7725
preference=3.3120000000000003
maxits=5000
convits=350		 Clustering
Markov Clustering 0.5 I=9.857457457457457 Clustering
Transitivity Clustering 1.0 T=3.298738738738739 Clustering
MCODE 0.999 v=0.6
cutoff=3.036
haircut=T
fluff=T		 Clustering