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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=82
samples=20		 Clustering
Self Organizing Maps 0.0 x=126
y=167		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=4
dc=1.4627099630724563		 Clustering
HDBSCAN 0.0 minPts=5
k=14		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=17		 Clustering
c-Means 0.0 k=4
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=106 Clustering
DIANA 0.0 metric=euclidean
k=27		 Clustering
DBSCAN 0.0 eps=1.3582306799958523
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=complete
k=239		 Clustering
fanny 0.0 k=66
membexp=1.1		 Clustering
k-Means 0.0 k=211
nstart=10		 Clustering
DensityCut 0.0 alpha=0.04761718568347749
K=11		 Clustering
clusterONE 0.739 s=108
d=0.5666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.0
maxits=4250
convits=350		 Clustering
Markov Clustering 0.739 I=1.117817817817818 Clustering
Transitivity Clustering 0.0 T=1.4244322677711179 Clustering
MCODE 0.0 v=0.2
cutoff=1.1753919346117954
haircut=F
fluff=F		 Clustering