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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=36
samples=20		 Clustering
Self Organizing Maps 0.0 x=35
y=59		 Clustering
Spectral Clustering 0.0 k=18 Clustering
clusterdp 0.0 k=24
dc=1.3054020414582301		 Clustering
HDBSCAN 0.0 minPts=17
k=117		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=66		 Clustering
c-Means 0.0 k=60
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=41 Clustering
DIANA 0.0 metric=euclidean
k=22		 Clustering
DBSCAN 0.0 eps=1.044321633166584
MinPts=241		 Clustering
Hierarchical Clustering 0.0 method=average
k=185		 Clustering
fanny 0.0 k=28
membexp=2.0		 Clustering
k-Means 0.0 k=36
nstart=10		 Clustering
DensityCut 0.0 alpha=0.95
K=15		 Clustering
clusterONE 1.0 s=216
d=0.03333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.9581030621873452
maxits=3500
convits=350		 Clustering
Markov Clustering 1.0 I=3.6568568568568574 Clustering
Transitivity Clustering 0.0 T=3.1753022630065058 Clustering
MCODE 0.001 v=0.6
cutoff=3.589855614010133
haircut=F
fluff=F		 Clustering