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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=236
samples=20		 Clustering
Self Organizing Maps 0.0 x=26
y=191		 Clustering
Spectral Clustering 0.0 k=55 Clustering
clusterdp 0.0 k=20
dc=0.8832000000000001		 Clustering
HDBSCAN 0.0 minPts=24
k=250		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=237		 Clustering
c-Means 0.0 k=109
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=243 Clustering
DIANA 0.0 metric=euclidean
k=238		 Clustering
DBSCAN 0.0 eps=2.0976000000000004
MinPts=250		 Clustering
Hierarchical Clustering 0.0 method=average
k=171		 Clustering
fanny 0.0 k=86
membexp=5.0		 Clustering
k-Means 0.0 k=144
nstart=10		 Clustering
DensityCut 0.0 alpha=0.043367346938775496
K=4		 Clustering
clusterONE 1.0 s=50
d=0.9333333333333333		 Clustering
Affinity Propagation 0.0 dampfact=0.99
preference=3.3120000000000003
maxits=4250
convits=275		 Clustering
Markov Clustering 0.5 I=8.85965965965966 Clustering
Transitivity Clustering 0.0 T=3.1926486486486487 Clustering
MCODE 0.001 v=0.9
cutoff=3.036
haircut=F
fluff=F		 Clustering