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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 0.845 metric=euclidean
k=29
samples=20		 Clustering
Self Organizing Maps 0.375 x=335
y=4666		 Clustering
Spectral Clustering 0.85 k=42 Clustering
clusterdp 0.855 k=23
dc=36008.34461886732		 Clustering
HDBSCAN 0.611 minPts=1
k=2093		 Clustering
AGNES 0.822 method=ward
metric=euclidean
k=11		 Clustering
c-Means 0.847 k=16
m=1.01		 Clustering
k-Medoids (PAM) 0.844 k=17 Clustering
DIANA 0.767 metric=euclidean
k=16		 Clustering
DBSCAN 0.63 eps=504116.8246641425
MinPts=3833		 Clustering
Hierarchical Clustering 0.79 method=complete
k=17		 Clustering
fanny 0.84 k=17
membexp=2.0		 Clustering
k-Means 0.844 k=47
nstart=10		 Clustering
DensityCut 0.861 alpha=0.9877929687500002
K=121		 Clustering
clusterONE 0.125 s=1
d=0.6666666666666666		 Clustering
Affinity Propagation 0.547 dampfact=0.99
preference=0.0
maxits=4250
convits=425		 Clustering
Markov Clustering 0.125 I=3.0955955955955954 Clustering
Transitivity Clustering 0.835 T=967791.8448614491 Clustering
MCODE 0.347 v=0.0
cutoff=990229.4770188513
haircut=T
fluff=F		 Clustering