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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=199
samples=20		 Clustering
Self Organizing Maps 0.0 x=630
y=263		 Clustering
Spectral Clustering 0.006 k=62 Clustering
clusterdp 0.0 k=24
dc=2.587697389143054		 Clustering
HDBSCAN 0.0 minPts=38
k=600		 Clustering
AGNES 0.0 method=ward
metric=euclidean
k=22		 Clustering
c-Means 0.0 k=629
m=1.01		 Clustering
k-Medoids (PAM) 0.0 k=665 Clustering
DIANA 0.0 metric=euclidean
k=400		 Clustering
DBSCAN 0.0 eps=1.293848694571527
MinPts=683		 Clustering
Hierarchical Clustering 0.0 method=average
k=395		 Clustering
fanny 0.0 k=226
membexp=1.1		 Clustering
k-Means 0.0 k=266
nstart=10		 Clustering
DensityCut 0.0 alpha=0.0
K=13		 Clustering
clusterONE 0.783 s=184
d=0.6666666666666666		 Clustering
Affinity Propagation 0.002 dampfact=0.7725
preference=9.703865209286453
maxits=2750
convits=500		 Clustering
Markov Clustering 0.783 I=1.9463463463463464 Clustering
Transitivity Clustering 0.0 T=38.07722884925215 Clustering
MCODE 0.001 v=0.8
cutoff=35.58083910071699
haircut=F
fluff=F		 Clustering