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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 0.661 x=18
y=84		 Clustering
Spectral Clustering 0.664 k=14 Clustering
clusterdp 1.0 k=4
dc=0.20895856615320804		 Clustering
HDBSCAN 1.0 minPts=3
k=6		 Clustering
AGNES 1.0 method=complete
metric=euclidean
k=4		 Clustering
c-Means 1.0 k=4
m=3.5		 Clustering
k-Medoids (PAM) 1.0 k=4 Clustering
DIANA 0.847 metric=euclidean
k=3		 Clustering
DBSCAN 1.0 eps=1.3059910384575502
MinPts=225		 Clustering
Hierarchical Clustering 1.0 method=average
k=5		 Clustering
fanny 1.0 k=5
membexp=1.1		 Clustering
k-Means 1.0 k=5
nstart=10		 Clustering
DensityCut 1.0 alpha=0.04880952380952381
K=30		 Clustering
clusterONE 0.511 s=25
d=0.9333333333333333		 Clustering
Affinity Propagation 0.631 dampfact=0.7
preference=0.0
maxits=5000
convits=500		 Clustering
Markov Clustering 0.511 I=1.206906906906907 Clustering
Transitivity Clustering 0.942 T=0.9977300906414439 Clustering
MCODE 0.806 v=0
cutoff=0.7182950711516526
haircut=T
fluff=T		 Clustering