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 0.516 k=4 Clustering
clusterdp 0.546 k=8
dc=0.8996367384139357
Clustering
AGNES 0.546 method=average
metric=euclidean
k=7
Clustering
c-Means 0.478 k=2
m=1.01
Clustering
k-Medoids (PAM) 0.507 k=5 Clustering
DIANA 0.53 metric=euclidean
k=2
Clustering
DBSCAN 0.53 eps=0.8916076774870505
MinPts=89
Clustering
Hierarchical Clustering 0.546 method=single
k=7
Clustering
fanny 0.53 k=5
membexp=5.0
Clustering
clusterONE 0.53 s=1
d=0.6666666666666666
Clustering
Affinity Propagation 0.485 dampfact=0.7
preference=0.9096730645725422
maxits=3500
convits=350
Clustering
Markov Clustering 0.53 I=1.2959959959959961 Clustering
Transitivity Clustering 0.53 T=0.9183832695570385 Clustering
MCODE 0.526 v=0.9
cutoff=0.9648728584448776
haircut=T
fluff=F
Clustering