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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=245
samples=20		 Clustering
Self Organizing Maps 0.0 x=250
y=216		 Clustering
Spectral Clustering 0.0 k=24 Clustering
clusterdp 0.0 k=11
dc=2.9808000000000003		 Clustering
HDBSCAN 0.0 minPts=8
k=10		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=207		 Clustering
c-Means 0.0 k=122
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=97 Clustering
DIANA 0.0 metric=euclidean
k=105		 Clustering
DBSCAN 0.0 eps=3.0912
MinPts=175		 Clustering
Hierarchical Clustering 0.0 method=average
k=90		 Clustering
fanny 0.0 k=112
membexp=2.0		 Clustering
k-Means 0.0 k=158
nstart=10		 Clustering
DensityCut 0.0 alpha=0.10238095238095238
K=5		 Clustering
clusterONE 0.502 s=1
d=0.5		 Clustering
Affinity Propagation 0.062 dampfact=0.9175
preference=2.484
maxits=4250
convits=500		 Clustering
Markov Clustering 0.502 I=7.523323323323324 Clustering
Transitivity Clustering 0.0 T=3.20590990990991 Clustering
MCODE 0.021 v=0.6
cutoff=3.036
haircut=F
fluff=T		 Clustering