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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 1.0 metric=euclidean
k=155
samples=20		 Clustering
Self Organizing Maps 1.0 x=150
y=142		 Clustering
Spectral Clustering 1.0 k=17 Clustering
clusterdp 1.0 k=10
dc=0.7832412248749381		 Clustering
HDBSCAN 1.0 minPts=11
k=129		 Clustering
AGNES 1.0 method=ward
metric=euclidean
k=219		 Clustering
c-Means 1.0 k=84
m=3.5		 Clustering
k-Medoids (PAM) 1.0 k=84 Clustering
DIANA 1.0 metric=euclidean
k=216		 Clustering
DBSCAN 1.0 eps=3.0024246953539295
MinPts=208		 Clustering
Hierarchical Clustering 1.0 method=complete
k=240		 Clustering
fanny 1.0 k=93
membexp=5.0		 Clustering
k-Means 1.0 k=93
nstart=10		 Clustering
DensityCut 1.0 alpha=0.9453125
K=7		 Clustering
clusterONE 0.0 s=225
d=0.8333333333333334		 Clustering
Affinity Propagation 1.0 dampfact=0.7725
preference=0.9790515310936726
maxits=3500
convits=275		 Clustering
Markov Clustering 0.0 I=4.244844844844845 Clustering
Transitivity Clustering 1.0 T=2.661765724174589 Clustering
MCODE 0.999 v=0.9
cutoff=3.589855614010133
haircut=F
fluff=F		 Clustering