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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=206
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=225		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=6
dc=0.8880739061511342		 Clustering
HDBSCAN 0.0 minPts=20
k=25		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=8		 Clustering
c-Means 0.0 k=124
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=68 Clustering
DIANA 0.0 metric=euclidean
k=246		 Clustering
DBSCAN 0.0 eps=0.9403135476894363
MinPts=216		 Clustering
Hierarchical Clustering 0.0 method=average
k=10		 Clustering
fanny 0.0 k=39
membexp=2.0		 Clustering
k-Means 0.0 k=208
nstart=10		 Clustering
DensityCut 0.0 alpha=0.05952380952380952
K=15		 Clustering
clusterONE 1.0 s=75
d=0.0		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.7835946230745302
maxits=5000
convits=500		 Clustering
Markov Clustering 1.0 I=6.89079079079079 Clustering
Transitivity Clustering 0.0 T=1.0400865567535806 Clustering
MCODE 0.0 v=0.4
cutoff=1.2406914865346728
haircut=T
fluff=F		 Clustering