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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 1.0 metric=euclidean
k=3
samples=20		 Clustering
Self Organizing Maps 0.779 x=2
y=1		 Clustering
Spectral Clustering 0.803 k=14 Clustering
clusterdp 1.0 k=4
dc=0.20895856615320804		 Clustering
HDBSCAN 1.0 minPts=2
k=4		 Clustering
AGNES 1.0 method=flexible
metric=euclidean
k=4		 Clustering
c-Means 1.0 k=4
m=3.5		 Clustering
k-Medoids (PAM) 1.0 k=4 Clustering
DIANA 0.911 metric=euclidean
k=3		 Clustering
DBSCAN 1.0 eps=1.2537513969192484
MinPts=191		 Clustering
Hierarchical Clustering 1.0 method=complete
k=3		 Clustering
fanny 1.0 k=6
membexp=1.1		 Clustering
k-Means 1.0 k=5
nstart=10		 Clustering
DensityCut 1.0 alpha=0.04880952380952381
K=21		 Clustering
clusterONE 0.635 s=92
d=0.9333333333333333		 Clustering
Affinity Propagation 0.635 dampfact=0.7725
preference=1.1753919346117954
maxits=2000
convits=500		 Clustering
Markov Clustering 0.635 I=1.58998998998999 Clustering
Transitivity Clustering 0.943 T=0.9930238166289842 Clustering
MCODE 0.871 v=0.2
cutoff=0.7182950711516526
haircut=F
fluff=F		 Clustering