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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=239
samples=20		 Clustering
Self Organizing Maps 0.0 x=240
y=240		 Clustering
Spectral Clustering 0.002 k=34 Clustering
clusterdp 0.0 k=16
dc=9.838981428763628		 Clustering
HDBSCAN 0.0 minPts=10
k=64		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=6		 Clustering
c-Means 0.0 k=93
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=116 Clustering
DIANA 0.0 metric=euclidean
k=204		 Clustering
DBSCAN 0.0 eps=3.9355925715054516
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=complete
k=39		 Clustering
fanny 0.0 k=93
membexp=1.1		 Clustering
k-Means 0.0 k=170
nstart=10		 Clustering
DensityCut 0.0 alpha=0.5547619047619048
K=10		 Clustering
clusterONE 1.0 s=56
d=0.8666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=14.758472143145443
maxits=2000
convits=500		 Clustering
Markov Clustering 1.0 I=3.6924924924924927 Clustering
Transitivity Clustering 0.0 T=14.758472143145443 Clustering
MCODE 0.009 v=0.3
cutoff=13.52859946454999
haircut=T
fluff=T		 Clustering