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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=4
samples=20		 Clustering
Self Organizing Maps 0.651 x=18
y=84		 Clustering
Spectral Clustering 0.709 k=22 Clustering
clusterdp 1.0 k=4
dc=0.36567749076811407		 Clustering
HDBSCAN 1.0 minPts=2
k=4		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=3		 Clustering
c-Means 1.0 k=4
m=3.5		 Clustering
k-Medoids (PAM) 1.0 k=4 Clustering
DIANA 0.857 metric=euclidean
k=3		 Clustering
DBSCAN 1.0 eps=1.3582306799958523
MinPts=200		 Clustering
Hierarchical Clustering 1.0 method=complete
k=3		 Clustering
fanny 1.0 k=4
membexp=1.1		 Clustering
k-Means 1.0 k=5
nstart=10		 Clustering
DensityCut 1.0 alpha=0.06101190476190475
K=24		 Clustering
clusterONE 0.415 s=225
d=0.4		 Clustering
Affinity Propagation 0.657 dampfact=0.7
preference=0.0
maxits=2750
convits=425		 Clustering
Markov Clustering 0.415 I=6.115715715715716 Clustering
Transitivity Clustering 0.961 T=0.9930238166289842 Clustering
MCODE 0.888 v=0
cutoff=0.7182950711516526
haircut=T
fluff=F		 Clustering