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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=303
samples=20		 Clustering
Self Organizing Maps 0.0 x=447
y=420		 Clustering
Spectral Clustering 0.0 k=118 Clustering
clusterdp 0.0 k=7
dc=2.587697389143054		 Clustering
HDBSCAN 0.0 minPts=53
k=420		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=135		 Clustering
c-Means 0.0 k=478
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=768 Clustering
DIANA 0.0 metric=euclidean
k=568		 Clustering
DBSCAN 0.0 eps=0.0
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=complete
k=487		 Clustering
fanny 0.0 k=243
membexp=5.0		 Clustering
k-Means 0.0 k=491
nstart=10		 Clustering
DensityCut 0.0 alpha=1.52587890625E-5
K=10		 Clustering
clusterONE 1.0 s=446
d=0.1		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=38.815460837145814
maxits=3500
convits=275		 Clustering
Markov Clustering 1.0 I=2.6056056056056054 Clustering
Transitivity Clustering 0.0 T=38.815460837145814 Clustering
MCODE 0.0 v=0.8
cutoff=35.58083910071699
haircut=T
fluff=T		 Clustering