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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=12
samples=20		 Clustering
Self Organizing Maps 1.0 x=51
y=108		 Clustering
Spectral Clustering 0.996 k=25 Clustering
clusterdp 1.0 k=21
dc=1.1492721138426443		 Clustering
HDBSCAN 1.0 minPts=107
k=250		 Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=61		 Clustering
c-Means 1.0 k=4
m=1.01		 Clustering
k-Medoids (PAM) 1.0 k=145 Clustering
DIANA 1.0 metric=euclidean
k=115		 Clustering
DBSCAN 1.0 eps=1.4104703215341545
MinPts=208		 Clustering
Hierarchical Clustering 1.0 method=single
k=178		 Clustering
fanny 1.0 k=108
membexp=5.0		 Clustering
k-Means 1.0 k=195
nstart=10		 Clustering
DensityCut 1.0 alpha=0.0
K=12		 Clustering
clusterONE 0.0 s=200
d=0.8		 Clustering
Affinity Propagation 1.0 dampfact=0.7
preference=1.1753919346117954
maxits=4250
convits=275		 Clustering
Markov Clustering 0.0 I=2.6768768768768765 Clustering
Transitivity Clustering 1.0 T=1.4307072997877308 Clustering
MCODE 1.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=F		 Clustering