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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=195
samples=20		 Clustering
Self Organizing Maps 1.0 x=51
y=241		 Clustering
Spectral Clustering 0.996 k=25 Clustering
clusterdp 1.0 k=22
dc=0.05223964153830201		 Clustering
HDBSCAN 1.0 minPts=9
k=18		 Clustering
AGNES 1.0 method=ward
metric=euclidean
k=76		 Clustering
c-Means 1.0 k=62
m=2.25		 Clustering
k-Medoids (PAM) 1.0 k=50 Clustering
DIANA 1.0 metric=euclidean
k=78		 Clustering
DBSCAN 1.0 eps=0.05223964153830201
MinPts=84		 Clustering
Hierarchical Clustering 1.0 method=complete
k=49		 Clustering
fanny 1.0 k=48
membexp=2.0		 Clustering
k-Means 1.0 k=150
nstart=10		 Clustering
DensityCut 1.0 alpha=0.04507688492063492
K=10		 Clustering
clusterONE 0.0 s=158
d=0.26666666666666666		 Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=1.1753919346117954
maxits=4250
convits=200		 Clustering
Markov Clustering 0.0 I=2.507607607607608 Clustering
Transitivity Clustering 1.0 T=1.3365818195385382 Clustering
MCODE 1.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=T		 Clustering