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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=526
samples=20		 Clustering
Self Organizing Maps 1.0 x=735
y=158		 Clustering
Spectral Clustering 1.0 k=118 Clustering
clusterdp 1.0 k=22
dc=2.587697389143054		 Clustering
HDBSCAN 1.0 minPts=788
k=788		 Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=432		 Clustering
c-Means 1.0 k=73
m=1.01		 Clustering
k-Medoids (PAM) 1.0 k=548 Clustering
DIANA 1.0 metric=euclidean
k=518		 Clustering
DBSCAN 1.0 eps=1.293848694571527
MinPts=683		 Clustering
Hierarchical Clustering 1.0 method=single
k=596		 Clustering
fanny 1.0 k=271
membexp=5.0		 Clustering
k-Means 1.0 k=266
nstart=10		 Clustering
DensityCut 1.0 alpha=9.765625E-4
K=10		 Clustering
clusterONE 0.0 s=263
d=0.7333333333333333		 Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=38.815460837145814
maxits=5000
convits=350		 Clustering
Markov Clustering 0.0 I=2.6768768768768765 Clustering
Transitivity Clustering 1.0 T=38.815460837145814 Clustering
MCODE 1.0 v=0.7
cutoff=35.58083910071699
haircut=T
fluff=T		 Clustering