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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=109
samples=20		 Clustering
Self Organizing Maps 0.0 x=26
y=191		 Clustering
Spectral Clustering 0.0 k=9 Clustering
clusterdp 0.0 k=5
dc=1.8768		 Clustering
HDBSCAN 0.0 minPts=15
k=63		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=228		 Clustering
c-Means 0.0 k=234
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=230 Clustering
DIANA 0.0 metric=euclidean
k=238		 Clustering
DBSCAN 0.0 eps=0.44160000000000005
MinPts=59		 Clustering
Hierarchical Clustering 0.0 method=complete
k=154		 Clustering
fanny 0.0 k=92
membexp=2.0		 Clustering
k-Means 0.0 k=74
nstart=10		 Clustering
DensityCut 0.0 alpha=0.0
K=9		 Clustering
clusterONE 0.502 s=191
d=0.13333333333333333		 Clustering
Affinity Propagation 0.062 dampfact=0.9175
preference=2.484
maxits=4250
convits=500		 Clustering
Markov Clustering 0.502 I=6.124624624624625 Clustering
Transitivity Clustering 0.0 T=3.245693693693694 Clustering
MCODE 0.021 v=0.9
cutoff=3.036
haircut=F
fluff=F		 Clustering