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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=422
samples=20		 Clustering
Self Organizing Maps 0.0 x=101
y=40		 Clustering
Spectral Clustering 0.0 k=100 Clustering
clusterdp 0.0 k=17
dc=0.9295510122873538		 Clustering
HDBSCAN 0.0 minPts=12
k=140		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=526		 Clustering
c-Means 0.0 k=255
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=589 Clustering
DIANA 0.0 metric=euclidean
k=555		 Clustering
DBSCAN 0.0 eps=0.4647755061436769
MinPts=280		 Clustering
Hierarchical Clustering 0.0 method=single
k=587		 Clustering
fanny 0.0 k=83
membexp=2.0		 Clustering
k-Means 0.0 k=394
nstart=10		 Clustering
DensityCut 0.0 alpha=0.2857142857142857
K=29		 Clustering
clusterONE 1.0 s=340
d=0.16666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=13.943265184310308
maxits=5000
convits=200		 Clustering
Markov Clustering 1.0 I=7.594594594594595 Clustering
Transitivity Clustering 0.0 T=13.88743629468344 Clustering
MCODE 0.001 v=0.9
cutoff=13.36229580163071
haircut=F
fluff=F		 Clustering