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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=83
samples=20		 Clustering
Self Organizing Maps 0.0 x=10
y=208		 Clustering
Spectral Clustering 0.0 k=8 Clustering
clusterdp 0.0 k=16
dc=3.0912		 Clustering
HDBSCAN 0.0 minPts=12
k=238		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=207		 Clustering
c-Means 0.0 k=224
m=1.5		 Clustering
k-Medoids (PAM) 0.0 k=178 Clustering
DIANA 0.0 metric=euclidean
k=86		 Clustering
DBSCAN 0.0 eps=1.4352000000000003
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=single
k=100		 Clustering
fanny 0.0 k=95
membexp=2.0		 Clustering
k-Means 0.0 k=203
nstart=10		 Clustering
DensityCut 0.0 alpha=0.03570502144949775
K=4		 Clustering
clusterONE 0.502 s=158
d=0.36666666666666664		 Clustering
Affinity Propagation 0.062 dampfact=0.99
preference=2.484
maxits=4250
convits=350		 Clustering
Markov Clustering 0.502 I=4.485385385385385 Clustering
Transitivity Clustering 0.0 T=3.013621621621622 Clustering
MCODE 0.021 v=0.6
cutoff=3.036
haircut=F
fluff=T		 Clustering