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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=56
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=34		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=23
dc=0.8358342646128322		 Clustering
HDBSCAN 0.0 minPts=1
k=131		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=16		 Clustering
c-Means 0.0 k=47
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=196 Clustering
DIANA 0.0 metric=euclidean
k=228		 Clustering
DBSCAN 0.0 eps=0.36567749076811407
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=single
k=28		 Clustering
fanny 0.0 k=32
membexp=1.1		 Clustering
k-Means 0.0 k=219
nstart=10		 Clustering
DensityCut 0.0 alpha=0.5238095238095238
K=24		 Clustering
clusterONE 0.739 s=108
d=0.7333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=0.7835946230745302
maxits=4250
convits=200		 Clustering
Markov Clustering 0.739 I=1.598898898898899 Clustering
Transitivity Clustering 0.0 T=1.408744687729586 Clustering
MCODE 0.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=T		 Clustering