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=24
dc=0.9146176212010232
Clustering
AGNES 0.597 method=average
metric=euclidean
k=1
Clustering
c-Means 0.584 k=3
m=3.5
Clustering
k-Medoids (PAM) 0.557 k=2 Clustering
DIANA 0.597 metric=euclidean
k=1
Clustering
DBSCAN 0.597 eps=1.0000000000000002
MinPts=477
Clustering
Hierarchical Clustering 0.596 method=average
k=2
Clustering
fanny 0.597 k=5
membexp=2.0
Clustering
clusterONE 0.597 s=426
d=0.7666666666666667
Clustering
Affinity Propagation 0.395 dampfact=0.99
preference=0.8719264318015347
maxits=4250
convits=500
Clustering
Markov Clustering 0.597 I=3.7370370370370374 Clustering
Transitivity Clustering 0.597 T=0.8738494583510612 Clustering
MCODE 0.508 v=0.2
cutoff=0.9946636013250642
haircut=F
fluff=F
Clustering