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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=24
samples=20		 Clustering
Self Organizing Maps 0.0 x=51
y=108		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=3
dc=0.47015677384471816		 Clustering
HDBSCAN 0.0 minPts=12
k=107		 Clustering
AGNES 0.0 method=average
metric=euclidean
k=161		 Clustering
c-Means 0.0 k=3
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=28 Clustering
DIANA 0.0 metric=euclidean
k=90		 Clustering
DBSCAN 0.0 eps=0.36567749076811407
MinPts=1		 Clustering
Hierarchical Clustering 0.0 method=average
k=222		 Clustering
fanny 0.0 k=49
membexp=1.1		 Clustering
k-Means 0.0 k=27
nstart=10		 Clustering
DensityCut 0.0 alpha=0.045712425595238096
K=12		 Clustering
clusterONE 0.739 s=208
d=1.0		 Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=1.1753919346117954
maxits=4250
convits=200		 Clustering
Markov Clustering 0.739 I=6.062262262262263 Clustering
Transitivity Clustering 0.0 T=1.1467621010359992 Clustering
MCODE 0.0 v=0.1
cutoff=1.1753919346117954
haircut=T
fluff=T		 Clustering