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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 0.787 metric=euclidean
k=29
samples=20		 Clustering
Self Organizing Maps 0.617 x=335
y=4666		 Clustering
Spectral Clustering 0.788 k=42 Clustering
clusterdp 0.796 k=22
dc=36008.34461886732		 Clustering
HDBSCAN 0.605 minPts=92
k=2054		 Clustering
AGNES 0.772 method=ward
metric=euclidean
k=11		 Clustering
c-Means 0.789 k=16
m=1.01		 Clustering
k-Medoids (PAM) 0.786 k=17 Clustering
DIANA 0.748 metric=euclidean
k=16		 Clustering
DBSCAN 0.67 eps=576133.5139018771
MinPts=4500		 Clustering
Hierarchical Clustering 0.75 method=complete
k=17		 Clustering
fanny 0.784 k=17
membexp=2.0		 Clustering
k-Means 0.787 k=47
nstart=10		 Clustering
DensityCut 0.803 alpha=0.9877929687500002
K=121		 Clustering
clusterONE 0.0 s=1
d=0.5333333333333333		 Clustering
Affinity Propagation 0.675 dampfact=0.7725
preference=0.0
maxits=2000
convits=350		 Clustering
Markov Clustering 0.0 I=3.0154154154154154 Clustering
Transitivity Clustering 0.773 T=967791.8448614491 Clustering
MCODE 0.445 v=0.0
cutoff=990229.4770188513
haircut=T
fluff=F		 Clustering