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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=211
samples=20		 Clustering
Self Organizing Maps 0.0 x=92
y=200		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=6
dc=1.5664824497498762		 Clustering
HDBSCAN 0.0 minPts=25
k=155		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=210		 Clustering
c-Means 0.0 k=37
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=41 Clustering
DIANA 0.0 metric=euclidean
k=22		 Clustering
DBSCAN 0.0 eps=1.5664824497498762
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=average
k=57		 Clustering
fanny 0.0 k=65
membexp=1.1		 Clustering
k-Means 0.0 k=77
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9486607142857143
K=6		 Clustering
clusterONE 1.0 s=84
d=0.9		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=0.9790515310936726
maxits=4250
convits=200		 Clustering
Markov Clustering 1.0 I=2.561061061061061 Clustering
Transitivity Clustering 0.0 T=3.677078423086546 Clustering
MCODE 0.001 v=0.6
cutoff=3.589855614010133
haircut=F
fluff=F		 Clustering