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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=160
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=241		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=9
dc=0.10447928307660402		 Clustering
HDBSCAN 0.0 minPts=7
k=10		 Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=119		 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=243		 Clustering
DBSCAN 0.0 eps=1.2015117553809462
MinPts=183		 Clustering
Hierarchical Clustering 0.0 method=complete
k=65		 Clustering
fanny 0.0 k=6
membexp=2.0		 Clustering
k-Means 0.0 k=129
nstart=10		 Clustering
DensityCut 0.0 alpha=0.0
K=6		 Clustering
clusterONE 1.0 s=1
d=0.8333333333333334		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=0.3917973115372651
maxits=5000
convits=500		 Clustering
Markov Clustering 1.0 I=8.27167167167167 Clustering
Transitivity Clustering 0.0 T=1.5530704241116815 Clustering
MCODE 0.0 v=0.4
cutoff=1.2406914865346728
haircut=T
fluff=T		 Clustering