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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=45
samples=20		 Clustering
Self Organizing Maps 1.0 x=2
y=9		 Clustering
Spectral Clustering 1.0 k=17 Clustering
clusterdp 1.0 k=4
dc=1.3054020414582301		 Clustering
HDBSCAN 1.0 minPts=72
k=143		 Clustering
AGNES 1.0 method=average
metric=euclidean
k=204		 Clustering
c-Means 1.0 k=2
m=1.01		 Clustering
k-Medoids (PAM) 1.0 k=168 Clustering
DIANA 1.0 metric=euclidean
k=37		 Clustering
DBSCAN 1.0 eps=2.088643266333168
MinPts=216		 Clustering
Hierarchical Clustering 1.0 method=average
k=114		 Clustering
fanny 1.0 k=89
membexp=2.0		 Clustering
k-Means 1.0 k=249
nstart=10		 Clustering
DensityCut 1.0 alpha=0.9875
K=6		 Clustering
clusterONE 0.0 s=75
d=0.9		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=3.9162061243746904
maxits=3500
convits=350		 Clustering
Markov Clustering 0.0 I=1.6612612612612614 Clustering
Transitivity Clustering 1.0 T=3.555554509317161 Clustering
MCODE 0.999 v=0.6
cutoff=3.589855614010133
haircut=T
fluff=T		 Clustering