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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=109
y=84		 Clustering
Spectral Clustering 0.046 k=25 Clustering
clusterdp 0.0 k=4
dc=0.36567749076811407		 Clustering
HDBSCAN 0.0 minPts=1
k=131		 Clustering
AGNES 0.0 method=complete
metric=euclidean
k=5		 Clustering
c-Means 0.0 k=4
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=21 Clustering
DIANA 0.0 metric=euclidean
k=148		 Clustering
DBSCAN 0.0 eps=0.20895856615320804
MinPts=34		 Clustering
Hierarchical Clustering 0.0 method=average
k=95		 Clustering
fanny 0.0 k=70
membexp=2.0		 Clustering
k-Means 0.0 k=140
nstart=10		 Clustering
DensityCut 0.0 alpha=0.1220238095238095
K=27		 Clustering
clusterONE 0.739 s=200
d=0.7		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=0.7835946230745302
maxits=3500
convits=425		 Clustering
Markov Clustering 0.739 I=7.015515515515515 Clustering
Transitivity Clustering 0.0 T=1.4369823318043438 Clustering
MCODE 0.0 v=0.2
cutoff=1.3059910384575504
haircut=F
fluff=T		 Clustering