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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=144
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=84		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=4
dc=0.261080408291646		 Clustering
HDBSCAN 0.0 minPts=2
k=58		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=177		 Clustering
c-Means 0.0 k=39
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=50 Clustering
DIANA 0.0 metric=euclidean
k=57		 Clustering
DBSCAN 0.0 eps=0.9137814290207611
MinPts=241		 Clustering
Hierarchical Clustering 0.0 method=complete
k=196		 Clustering
fanny 0.0 k=25
membexp=5.0		 Clustering
k-Means 0.0 k=239
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9486607142857143
K=4		 Clustering
clusterONE 1.0 s=17
d=0.7333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=0.9790515310936726
maxits=5000
convits=200		 Clustering
Markov Clustering 1.0 I=1.411811811811812 Clustering
Transitivity Clustering 0.0 T=3.9162061243746904 Clustering
MCODE 0.001 v=0.6
cutoff=3.589855614010133
haircut=F
fluff=F		 Clustering