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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=39
samples=20		 Clustering
Self Organizing Maps 0.0 x=12
y=135		 Clustering
Spectral Clustering 0.0 k=5 Clustering
clusterdp 0.0 k=84
dc=24.24620382657871		 Clustering
HDBSCAN 0.0 minPts=15
k=282		 Clustering
AGNES 0.0 method=single
metric=euclidean
k=217		 Clustering
c-Means 0.0 k=66
m=3.5		 Clustering
k-Medoids (PAM) 0.0 k=75 Clustering
DIANA 0.0 metric=euclidean
k=49		 Clustering
DBSCAN 0.0 eps=22.225686841030484
MinPts=260		 Clustering
Hierarchical Clustering 0.0 method=complete
k=45		 Clustering
fanny 0.0 k=96
membexp=5.0		 Clustering
k-Means 0.0 k=264
nstart=10		 Clustering
DensityCut 0.0 alpha=0.09375
K=3		 Clustering
clusterONE 0.669 s=52
d=0.6666666666666666		 Clustering
Affinity Propagation 0.0 dampfact=0.9175
preference=22.73081608741754
maxits=5000
convits=350		 Clustering
Markov Clustering 0.669 I=6.1691691691691695 Clustering
Transitivity Clustering 0.0 T=28.36611683915302 Clustering
MCODE 0.006 v=0.2
cutoff=26.519285435320466
haircut=T
fluff=F		 Clustering