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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 0.0 metric=euclidean
k=88
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=84		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=11
dc=3.0024246953539295		 Clustering
HDBSCAN 0.0 minPts=11
k=85		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=10		 Clustering
c-Means 0.0 k=26
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=197 Clustering
DIANA 0.0 metric=euclidean
k=39		 Clustering
DBSCAN 0.0 eps=0.522160816583292
MinPts=9		 Clustering
Hierarchical Clustering 0.0 method=complete
k=199		 Clustering
fanny 0.0 k=48
membexp=1.1		 Clustering
k-Means 0.0 k=239
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9374999990686774
K=5		 Clustering
clusterONE 1.0 s=167
d=1.0		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=1.9581030621873452
maxits=2000
convits=500		 Clustering
Markov Clustering 1.0 I=5.42082082082082 Clustering
Transitivity Clustering 0.0 T=3.9162061243746904 Clustering
MCODE 0.001 v=0.8
cutoff=3.589855614010133
haircut=F
fluff=T		 Clustering