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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=275
samples=20		 Clustering
Self Organizing Maps 1.0 x=399
y=359		 Clustering
Spectral Clustering 0.999 k=24 Clustering
clusterdp 0.991 k=3
dc=4.904211342192431		 Clustering
HDBSCAN 1.0 minPts=8
k=151		 Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=233		 Clustering
c-Means 1.0 k=286
m=1.5		 Clustering
k-Medoids (PAM) 1.0 k=368 Clustering
DIANA 1.0 metric=euclidean
k=370		 Clustering
DBSCAN 1.0 eps=0.0
MinPts=133		 Clustering
Hierarchical Clustering 1.0 method=average
k=237		 Clustering
fanny 1.0 k=172
membexp=1.1		 Clustering
k-Means 1.0 k=137
nstart=10		 Clustering
DensityCut 0.935 alpha=0.13215702947845803
K=3		 Clustering
clusterONE 0.0 s=306
d=0.06666666666666667		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=36.781585066443235
maxits=3500
convits=350		 Clustering
Markov Clustering 0.0 I=5.8306306306306315 Clustering
Transitivity Clustering 1.0 T=36.560674645623756 Clustering
MCODE 0.996 v=0.1
cutoff=32.183886933137835
haircut=F
fluff=T		 Clustering