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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=510
samples=20		 Clustering
Self Organizing Maps 0.0 x=552
y=210		 Clustering
Spectral Clustering 0.006 k=62 Clustering
clusterdp 0.0 k=19
dc=2.587697389143054		 Clustering
HDBSCAN 0.0 minPts=150
k=713		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=500		 Clustering
c-Means 0.0 k=629
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=583 Clustering
DIANA 0.0 metric=euclidean
k=526		 Clustering
DBSCAN 0.0 eps=1.293848694571527
MinPts=683		 Clustering
Hierarchical Clustering 0.0 method=single
k=276		 Clustering
fanny 0.0 k=250
membexp=1.1		 Clustering
k-Means 0.0 k=605
nstart=10		 Clustering
DensityCut 0.0 alpha=0.0
K=13		 Clustering
clusterONE 0.783 s=342
d=0.7666666666666667		 Clustering
Affinity Propagation 0.002 dampfact=0.99
preference=9.703865209286453
maxits=4250
convits=350		 Clustering
Markov Clustering 0.783 I=3.8083083083083085 Clustering
Transitivity Clustering 0.0 T=38.66004357653662 Clustering
MCODE 0.001 v=0.8
cutoff=35.58083910071699
haircut=T
fluff=F		 Clustering