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 -0.004 k=293 Clustering
clusterdp 0.147 k=3
dc=0.40811470917477405
Clustering
AGNES 0.184 method=average
metric=euclidean
k=3
Clustering
c-Means 0.18 k=2
m=1.5
Clustering
k-Medoids (PAM) 0.174 k=2 Clustering
DIANA 0.184 metric=euclidean
k=2
Clustering
DBSCAN 0.162 eps=0.9387704871560112
MinPts=234
Clustering
Hierarchical Clustering 0.184 method=single
k=3
Clustering
fanny NaN k=22
membexp=5.0
Clustering
clusterONE NaN s=30
d=0.8666666666666667
Clustering
Affinity Propagation 0.056 dampfact=0.7
preference=0.387704871560111
maxits=5000
convits=425
Clustering
Markov Clustering NaN I=1.3672672672672674 Clustering
Transitivity Clustering 0.164 T=0.533576984241486 Clustering