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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=91
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=17		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=15
dc=0.9403135476894363		 Clustering
HDBSCAN 0.0 minPts=6
k=6		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=164		 Clustering
c-Means 0.0 k=62
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=6 Clustering
DIANA 0.0 metric=euclidean
k=174		 Clustering
DBSCAN 0.0 eps=1.3582306799958523
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=complete
k=224		 Clustering
fanny 0.0 k=89
membexp=5.0		 Clustering
k-Means 0.0 k=205
nstart=10		 Clustering
DensityCut 0.0 alpha=0.04857235863095238
K=11		 Clustering
clusterONE 1.0 s=108
d=0.6666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.7835946230745302
maxits=5000
convits=275		 Clustering
Markov Clustering 1.0 I=5.465365365365365 Clustering
Transitivity Clustering 0.0 T=1.3052066594554737 Clustering
MCODE 0.0 v=0.4
cutoff=1.2406914865346728
haircut=F
fluff=T		 Clustering