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=508 Clustering
clusterdp 0.911 k=25
dc=0.9103485022610743
Clustering
AGNES 0.0 method=weighted
metric=euclidean
k=511
Clustering
c-Means 0.0 k=336
m=5.0
Clustering
k-Medoids (PAM) 0.0 k=507 Clustering
DIANA 0.0 metric=euclidean
k=511
Clustering
DBSCAN 1.0 eps=0.9146176212010232
MinPts=52
Clustering
Hierarchical Clustering 0.0 method=complete
k=511
Clustering
fanny 0.0 k=198
membexp=1.1
Clustering
clusterONE 1.0 s=205
d=0.2
Clustering
Affinity Propagation 0.0 dampfact=0.7725
preference=1.0000000000000002
maxits=5000
convits=425
Clustering
Markov Clustering 1.0 I=6.053353353353354 Clustering
Transitivity Clustering 0.0 T=0.9997435964600633 Clustering
MCODE 0.284 v=0.0
cutoff=0.9946636013250642
haircut=T
fluff=F
Clustering