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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=56
samples=20		 Clustering
Self Organizing Maps 0.0 x=35
y=34		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=19
dc=0.9403135476894363		 Clustering
HDBSCAN 0.0 minPts=5
k=12		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=222		 Clustering
c-Means 0.0 k=137
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=6 Clustering
DIANA 0.0 metric=euclidean
k=17		 Clustering
DBSCAN 0.0 eps=0.5746360569213221
MinPts=216		 Clustering
Hierarchical Clustering 0.0 method=complete
k=51		 Clustering
fanny 0.0 k=69
membexp=5.0		 Clustering
k-Means 0.0 k=21
nstart=10		 Clustering
DensityCut 0.0 alpha=0.024404761904761905
K=15		 Clustering
clusterONE 1.0 s=191
d=0.26666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.7835946230745302
maxits=5000
convits=350		 Clustering
Markov Clustering 1.0 I=6.89079079079079 Clustering
Transitivity Clustering 0.0 T=1.1734309871066038 Clustering
MCODE 0.0 v=0.5
cutoff=1.2406914865346728
haircut=F
fluff=F		 Clustering