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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=3
samples=20		 Clustering
Self Organizing Maps 0.0 x=26
y=92		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=5
dc=1.3582306799958523		 Clustering
HDBSCAN 0.0 minPts=95
k=119		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=19		 Clustering
c-Means 0.0 k=18
m=5.0		 Clustering
k-Medoids (PAM) 0.0 k=248 Clustering
DIANA 0.0 metric=euclidean
k=19		 Clustering
DBSCAN 0.0 eps=0.20895856615320804
MinPts=34		 Clustering
Hierarchical Clustering 0.0 method=complete
k=144		 Clustering
fanny 0.0 k=74
membexp=5.0		 Clustering
k-Means 0.0 k=126
nstart=10		 Clustering
DensityCut 0.0 alpha=0.10982142857142856
K=15		 Clustering
clusterONE 0.739 s=167
d=0.06666666666666667		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=1.1753919346117954
maxits=2000
convits=350		 Clustering
Markov Clustering 0.739 I=7.06006006006006 Clustering
Transitivity Clustering 0.0 T=1.4071759297254327 Clustering
MCODE 0.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=T		 Clustering