Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
Spectral Clustering 0.597 k=2 Clustering
clusterdp 0.596 k=2
dc=0.8932720265012789
Clustering
AGNES 0.597 method=flexible
metric=euclidean
k=1
Clustering
c-Means 0.584 k=2
m=1.5
Clustering
k-Medoids (PAM) 0.557 k=2 Clustering
DIANA 0.597 metric=euclidean
k=3
Clustering
DBSCAN 0.597 eps=0.8719264318015347
MinPts=137
Clustering
Hierarchical Clustering 0.596 method=single
k=2
Clustering
fanny 0.597 k=12
membexp=1.1
Clustering
clusterONE 0.597 s=1
d=1.0
Clustering
Affinity Propagation 0.395 dampfact=0.9175
preference=0.8719264318015347
maxits=2750
convits=350
Clustering
Markov Clustering 0.597 I=1.4385385385385387 Clustering
Transitivity Clustering 0.597 T=0.9038486725236747 Clustering
MCODE 0.508 v=0.0
cutoff=0.9946636013250642
haircut=F
fluff=T
Clustering