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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=125
samples=20		 Clustering
Self Organizing Maps 1.0 x=250
y=250		 Clustering
Spectral Clustering 1.0 k=18 Clustering
clusterdp 1.0 k=16
dc=0.522160816583292		 Clustering
HDBSCAN 1.0 minPts=7
k=88		 Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=38		 Clustering
c-Means 1.0 k=132
m=2.25		 Clustering
k-Medoids (PAM) 1.0 k=221 Clustering
DIANA 1.0 metric=euclidean
k=32		 Clustering
DBSCAN 1.0 eps=3.0024246953539295
MinPts=208		 Clustering
Hierarchical Clustering 1.0 method=single
k=213		 Clustering
fanny 1.0 k=119
membexp=5.0		 Clustering
k-Means 1.0 k=91
nstart=10		 Clustering
DensityCut 1.0 alpha=0.98125
K=6		 Clustering
clusterONE 0.0 s=9
d=0.03333333333333333		 Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=1.9581030621873452
maxits=2750
convits=200		 Clustering
Markov Clustering 0.0 I=4.2181181181181175 Clustering
Transitivity Clustering 1.0 T=2.732327996685845 Clustering
MCODE 0.999 v=0.6
cutoff=3.589855614010133
haircut=F
fluff=F		 Clustering