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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=168
samples=20		 Clustering
Self Organizing Maps 0.0 x=788
y=604		 Clustering
Spectral Clustering 0.0 k=118 Clustering
clusterdp 0.0 k=20
dc=2.587697389143054		 Clustering
HDBSCAN 0.0 minPts=8
k=95		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=22		 Clustering
c-Means 0.0 k=414
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=663 Clustering
DIANA 0.0 metric=euclidean
k=748		 Clustering
DBSCAN 0.0 eps=1.293848694571527
MinPts=683		 Clustering
Hierarchical Clustering 0.0 method=single
k=681		 Clustering
fanny 0.0 k=122
membexp=5.0		 Clustering
k-Means 0.0 k=624
nstart=10		 Clustering
DensityCut 0.0 alpha=0.0
K=13		 Clustering
clusterONE 1.0 s=394
d=0.3		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=38.815460837145814
maxits=5000
convits=500		 Clustering
Markov Clustering 1.0 I=1.117817817817818 Clustering
Transitivity Clustering 0.0 T=34.81346637645911 Clustering
MCODE 0.0 v=0.7
cutoff=35.58083910071699
haircut=T
fluff=T		 Clustering