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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 0.0 metric=euclidean
k=572
samples=20		 Clustering
Self Organizing Maps 0.0 x=4167
y=1		 Clustering
Spectral Clustering 0.001 k=287 Clustering
clusterdp 0.017 k=24
dc=36008.34461886732		 Clustering
HDBSCAN 0.0 minPts=834
k=5000		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=2134		 Clustering
c-Means 0.0 k=352
m=3.5		 Clustering
k-Medoids (PAM) 0.001 k=217 Clustering
DIANA 0.0 metric=euclidean
k=4519		 Clustering
DBSCAN 0.0 eps=0.0
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=complete
k=5000		 Clustering
fanny 0.0 k=453
membexp=1.1		 Clustering
k-Means 0.0 k=4978
nstart=10		 Clustering
DensityCut 0.018 alpha=0.9877929687500002
K=121		 Clustering
clusterONE 1.0 s=416
d=0.36666666666666664		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1080250.3385660197
maxits=2000
convits=275		 Clustering
Markov Clustering 1.0 I=8.86856856856857 Clustering
Transitivity Clustering 0.001 T=1080250.3385660197 Clustering
MCODE 0.414 v=0.9
cutoff=990229.4770188513
haircut=F
fluff=T		 Clustering