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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=17
samples=20		 Clustering
Self Organizing Maps 0.0 x=134
y=67		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=8
dc=0.20895856615320804		 Clustering
HDBSCAN 0.0 minPts=5
k=12		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=5		 Clustering
c-Means 0.0 k=94
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=68 Clustering
DIANA 0.0 metric=euclidean
k=101		 Clustering
DBSCAN 0.0 eps=0.05223964153830201
MinPts=84		 Clustering
Hierarchical Clustering 0.0 method=complete
k=113		 Clustering
fanny 0.0 k=24
membexp=2.0		 Clustering
k-Means 0.0 k=24
nstart=10		 Clustering
DensityCut 0.0 alpha=0.046665736607142856
K=11		 Clustering
clusterONE 1.0 s=75
d=0.0		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=0.7835946230745302
maxits=5000
convits=200		 Clustering
Markov Clustering 1.0 I=5.875175175175176 Clustering
Transitivity Clustering 0.0 T=1.0526366207868063 Clustering
MCODE 0.0 v=0.2
cutoff=1.1753919346117954
haircut=T
fluff=T		 Clustering