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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=46
samples=20		 Clustering
Self Organizing Maps 0.0 x=10
y=133		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=16
dc=0.4179171323064161		 Clustering
HDBSCAN 0.0 minPts=250
k=36		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=213		 Clustering
c-Means 0.0 k=127
m=1.5		 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=average
k=34		 Clustering
fanny 0.0 k=96
membexp=1.1		 Clustering
k-Means 0.0 k=12
nstart=10		 Clustering
DensityCut 0.0 alpha=0.017113095238095236
K=6		 Clustering
clusterONE 1.0 s=1
d=0.16666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=1.5671892461490604
maxits=3500
convits=500		 Clustering
Markov Clustering 1.0 I=8.565665665665666 Clustering
Transitivity Clustering 0.0 T=1.5530704241116815 Clustering
MCODE 0.0 v=0.9
cutoff=1.2406914865346728
haircut=T
fluff=T		 Clustering