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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=66
samples=20		 Clustering
Self Organizing Maps 0.0 x=183
y=150		 Clustering
Spectral Clustering 0.0 k=45 Clustering
clusterdp 0.0 k=17
dc=0.11040000000000001		 Clustering
HDBSCAN 0.0 minPts=1
k=14		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=228		 Clustering
c-Means 0.0 k=2
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=248 Clustering
DIANA 0.0 metric=euclidean
k=92		 Clustering
DBSCAN 0.0 eps=2.3184
MinPts=200		 Clustering
Hierarchical Clustering 0.0 method=average
k=119		 Clustering
fanny 0.0 k=86
membexp=5.0		 Clustering
k-Means 0.0 k=168
nstart=10		 Clustering
DensityCut 0.0 alpha=0.05468749999999998
K=4		 Clustering
clusterONE 1.0 s=133
d=0.7		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=3.3120000000000003
maxits=2750
convits=275		 Clustering
Markov Clustering 0.5 I=9.955455455455455 Clustering
Transitivity Clustering 0.0 T=3.0202522522522526 Clustering
MCODE 0.001 v=0.8
cutoff=3.036
haircut=T
fluff=F		 Clustering