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 1.0 k=278 Clustering
clusterdp 0.986 k=20
dc=0.979590162385337
Clustering
AGNES 1.0 method=single
metric=euclidean
k=61
Clustering
c-Means 1.0 k=275
m=1.5
Clustering
k-Medoids (PAM) 1.0 k=160 Clustering
DIANA 1.0 metric=euclidean
k=136
Clustering
DBSCAN 1.0 eps=0.6530327605507296
MinPts=1
Clustering
Hierarchical Clustering 1.0 method=single
k=232
Clustering
fanny 1.0 k=84
membexp=5.0
Clustering
clusterONE 0.0 s=39
d=0.6333333333333333
Clustering
Affinity Propagation 1.0 dampfact=0.9175
preference=1.0
maxits=3500
convits=350
Clustering
Markov Clustering 0.0 I=4.396296296296296 Clustering
Transitivity Clustering 1.0 T=0.815514681020614 Clustering