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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=197
samples=20		 Clustering
Self Organizing Maps 0.0 x=51
y=59		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=13
dc=0.15671892461490605		 Clustering
HDBSCAN 0.0 minPts=167
k=226		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=61		 Clustering
c-Means 0.0 k=222
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=6 Clustering
DIANA 0.0 metric=euclidean
k=64		 Clustering
DBSCAN 0.0 eps=0.05223964153830201
MinPts=84		 Clustering
Hierarchical Clustering 0.0 method=complete
k=223		 Clustering
fanny 0.0 k=40
membexp=2.0		 Clustering
k-Means 0.0 k=6
nstart=10		 Clustering
DensityCut 0.0 alpha=0.056770833333333326
K=12		 Clustering
clusterONE 1.0 s=225
d=0.16666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=0.0
maxits=3500
convits=350		 Clustering
Markov Clustering 1.0 I=1.6612612612612614 Clustering
Transitivity Clustering 0.0 T=0.9977300906414439 Clustering
MCODE 0.0 v=0.7
cutoff=1.2406914865346728
haircut=F
fluff=T		 Clustering