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=419 Clustering
clusterdp 0.124 k=24
dc=0.9757513782287462
Clustering
AGNES 1.0 method=weighted
metric=euclidean
k=420
Clustering
c-Means 1.0 k=116
m=1.01
Clustering
k-Medoids (PAM) 1.0 k=414 Clustering
DIANA 1.0 metric=euclidean
k=419
Clustering
DBSCAN 0.0 eps=0.9242230569648314
MinPts=56
Clustering
Hierarchical Clustering 1.0 method=average
k=418
Clustering
fanny 1.0 k=106
membexp=5.0
Clustering
clusterONE 0.0 s=308
d=0.6333333333333333
Clustering
Affinity Propagation 1.0 dampfact=0.99
preference=1.0000000000000002
maxits=5000
convits=500
Clustering
Markov Clustering 0.0 I=9.394194194194194 Clustering
Transitivity Clustering 1.0 T=1.0000000000000002 Clustering
MCODE 0.734 v=0.8
cutoff=0.9962111528482418
haircut=T
fluff=T
Clustering