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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=30
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=0.3134378492298121		 Clustering
HDBSCAN 0.0 minPts=238
k=226		 Clustering
AGNES 0.0 method=flexible
metric=euclidean
k=37		 Clustering
c-Means 0.0 k=8
m=2.25		 Clustering
k-Medoids (PAM) 0.0 k=235 Clustering
DIANA 0.0 metric=euclidean
k=186		 Clustering
DBSCAN 0.0 eps=0.9925531892277383
MinPts=225		 Clustering
Hierarchical Clustering 0.0 method=single
k=213		 Clustering
fanny 0.0 k=117
membexp=1.1		 Clustering
k-Means 0.0 k=84
nstart=10		 Clustering
DensityCut 0.0 alpha=0.06101190476190475
K=24		 Clustering
clusterONE 0.739 s=100
d=0.2		 Clustering
Affinity Propagation 0.0 dampfact=0.845
preference=0.7835946230745302
maxits=3500
convits=425		 Clustering
Markov Clustering 0.739 I=9.91981981981982 Clustering
Transitivity Clustering 0.0 T=1.549932908103375 Clustering
MCODE 0.0 v=0.4
cutoff=1.3059910384575504
haircut=F
fluff=T		 Clustering