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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 1.0 metric=euclidean
k=105
samples=20		 Clustering
Self Organizing Maps 1.0 x=250
y=250		 Clustering
Spectral Clustering 1.0 k=6 Clustering
clusterdp 1.0 k=18
dc=1.7664000000000002		 Clustering
HDBSCAN 1.0 minPts=20
k=25		 Clustering
AGNES 1.0 method=single
metric=euclidean
k=51		 Clustering
c-Means 1.0 k=237
m=2.25		 Clustering
k-Medoids (PAM) 1.0 k=52 Clustering
DIANA 1.0 metric=euclidean
k=85		 Clustering
DBSCAN 1.0 eps=0.3312
MinPts=75		 Clustering
Hierarchical Clustering 1.0 method=average
k=81		 Clustering
fanny 1.0 k=79
membexp=5.0		 Clustering
k-Means 1.0 k=112
nstart=10		 Clustering
DensityCut 1.0 alpha=0.021683673469387748
K=7		 Clustering
clusterONE 0.0 s=250
d=0.6666666666666666		 Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=3.3120000000000003
maxits=3500
convits=275		 Clustering
Markov Clustering 0.5 I=9.84854854854855 Clustering
Transitivity Clustering 1.0 T=3.2158558558558563 Clustering
MCODE 0.999 v=0.9
cutoff=3.036
haircut=F
fluff=F		 Clustering