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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=33
samples=20		 Clustering
Self Organizing Maps 0.0 x=92
y=167		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=8
dc=0.7313549815362281		 Clustering
HDBSCAN 0.0 minPts=20
k=35		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=195		 Clustering
c-Means 0.0 k=107
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=137 Clustering
DIANA 0.0 metric=euclidean
k=107		 Clustering
DBSCAN 0.0 eps=1.3582306799958523
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=complete
k=158		 Clustering
fanny 0.0 k=13
membexp=2.0		 Clustering
k-Means 0.0 k=228
nstart=10		 Clustering
DensityCut 0.0 alpha=0.056770833333333326
K=13		 Clustering
clusterONE 0.739 s=233
d=0.23333333333333334		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.3917973115372651
maxits=5000
convits=200		 Clustering
Markov Clustering 0.739 I=5.8306306306306315 Clustering
Transitivity Clustering 0.0 T=1.248731371305958 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=T		 Clustering