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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=237
samples=20		 Clustering
Self Organizing Maps 1.0 x=18
y=84		 Clustering
Spectral Clustering 1.0 k=7 Clustering
clusterdp 1.0 k=17
dc=1.7664000000000002		 Clustering
HDBSCAN 1.0 minPts=238
k=202		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=128		 Clustering
c-Means 1.0 k=157
m=3.5		 Clustering
k-Medoids (PAM) 1.0 k=232 Clustering
DIANA 1.0 metric=euclidean
k=248		 Clustering
DBSCAN 1.0 eps=0.3312
MinPts=75		 Clustering
Hierarchical Clustering 1.0 method=average
k=244		 Clustering
fanny 1.0 k=86
membexp=2.0		 Clustering
k-Means 1.0 k=128
nstart=10		 Clustering
DensityCut 1.0 alpha=0.369047619047619
K=5		 Clustering
clusterONE 0.0 s=250
d=0.36666666666666664		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=3.3120000000000003
maxits=3500
convits=500		 Clustering
Markov Clustering 0.5 I=9.75945945945946 Clustering
Transitivity Clustering 1.0 T=2.9804684684684686 Clustering
MCODE 0.999 v=0.9
cutoff=3.036
haircut=F
fluff=F		 Clustering