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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=92
samples=20		 Clustering
Self Organizing Maps 0.0 x=2
y=9		 Clustering
Spectral Clustering 0.004 k=25 Clustering
clusterdp 0.0 k=10
dc=0.3134378492298121		 Clustering
HDBSCAN 0.0 minPts=36
k=24		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=192		 Clustering
c-Means 0.0 k=4
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=63 Clustering
DIANA 0.0 metric=euclidean
k=207		 Clustering
DBSCAN 0.0 eps=0.47015677384471816
MinPts=9		 Clustering
Hierarchical Clustering 0.0 method=complete
k=77		 Clustering
fanny 0.0 k=30
membexp=2.0		 Clustering
k-Means 0.0 k=123
nstart=10		 Clustering
DensityCut 0.0 alpha=0.21825396825396826
K=10		 Clustering
clusterONE 1.0 s=233
d=0.6333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.5671892461490604
maxits=3500
convits=350		 Clustering
Markov Clustering 1.0 I=7.942042042042043 Clustering
Transitivity Clustering 0.0 T=1.5530704241116815 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=F
fluff=F		 Clustering