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 0.0 k=1043 Clustering
clusterdp 0.0 k=803
dc=65.56274966912375
Clustering
AGNES 0.0 method=single
metric=euclidean
k=575
Clustering
c-Means 0.0 k=281
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=636 Clustering
DIANA 0.0 metric=euclidean
k=623
Clustering
DBSCAN 0.0 eps=7.713264666955735
MinPts=733
Clustering
Hierarchical Clustering 0.0 method=complete
k=776
Clustering
fanny 0.0 k=266
membexp=2.0
Clustering
clusterONE 0.012 s=1
d=0.36666666666666664
Clustering
Affinity Propagation 0.0 dampfact=0.7
preference=115.69897000433602
maxits=3500
convits=350
Clustering
Markov Clustering 0.001 I=9.83073073073073 Clustering
Transitivity Clustering 0.0 T=82.4601267698571 Clustering
MCODE 0.32 v=0.9
cutoff=4.820790416847334
haircut=F
fluff=F
Clustering