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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=572
samples=20		 Clustering
Self Organizing Maps 1.0 x=4167
y=1		 Clustering
Spectral Clustering 0.999 k=287 Clustering
clusterdp 0.983 k=24
dc=36008.34461886732		 Clustering
HDBSCAN 1.0 minPts=834
k=5000		 Clustering
AGNES 1.0 method=ward
metric=euclidean
k=2134		 Clustering
c-Means 1.0 k=355
m=5.0		 Clustering
k-Medoids (PAM) 0.999 k=217 Clustering
DIANA 1.0 metric=euclidean
k=4509		 Clustering
DBSCAN 1.0 eps=0.0
MinPts=1		 Clustering
Hierarchical Clustering 1.0 method=single
k=4954		 Clustering
fanny 1.0 k=378
membexp=1.1		 Clustering
k-Means 1.0 k=4978
nstart=10		 Clustering
DensityCut 0.982 alpha=0.9877929687500002
K=121		 Clustering
clusterONE 0.0 s=250
d=0.7333333333333333		 Clustering
Affinity Propagation 1.0 dampfact=0.845
preference=1080250.3385660197
maxits=5000
convits=350		 Clustering
Markov Clustering 0.0 I=4.743743743743743 Clustering
Transitivity Clustering 0.999 T=1080250.3385660197 Clustering
MCODE 0.586 v=0.0
cutoff=990229.4770188513
haircut=T
fluff=F		 Clustering