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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=224
samples=20		 Clustering
Self Organizing Maps 0.0 x=26
y=9		 Clustering
Spectral Clustering 0.0 k=17 Clustering
clusterdp 0.0 k=7
dc=1.9581030621873452		 Clustering
HDBSCAN 0.0 minPts=2
k=61		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=20		 Clustering
c-Means 0.0 k=64
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=99 Clustering
DIANA 0.0 metric=euclidean
k=203		 Clustering
DBSCAN 0.0 eps=1.5664824497498762
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=complete
k=146		 Clustering
fanny 0.0 k=64
membexp=5.0		 Clustering
k-Means 0.0 k=245
nstart=10		 Clustering
DensityCut 0.0 alpha=0.9263392857142857
K=11		 Clustering
clusterONE 1.0 s=133
d=0.8333333333333334		 Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=0.9790515310936726
maxits=4250
convits=500		 Clustering
Markov Clustering 1.0 I=6.374074074074075 Clustering
Transitivity Clustering 0.0 T=2.893053172961483 Clustering
MCODE 0.001 v=0.9
cutoff=3.589855614010133
haircut=T
fluff=T		 Clustering