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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=207
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=25		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=24
dc=0.7832412248749381		 Clustering
HDBSCAN 0.0 minPts=10
k=196		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=4		 Clustering
c-Means 0.0 k=199
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=232 Clustering
DIANA 0.0 metric=euclidean
k=124		 Clustering
DBSCAN 0.0 eps=3.0024246953539295
MinPts=208		 Clustering
Hierarchical Clustering 0.0 method=single
k=99		 Clustering
fanny 0.0 k=83
membexp=1.1		 Clustering
k-Means 0.0 k=144
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9374999990686774
K=5		 Clustering
clusterONE 0.643 s=1
d=0.4		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.9581030621873452
maxits=5000
convits=200		 Clustering
Markov Clustering 0.643 I=9.207107107107106 Clustering
Transitivity Clustering 0.0 T=3.586915519322164 Clustering
MCODE 0.007 v=0
cutoff=1.3054020414582301
haircut=F
fluff=F		 Clustering