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Hierarchical clustering with discrete latent variable models and the
  integrated classification likelihood
v1v2v3 (latest)

Hierarchical clustering with discrete latent variable models and the integrated classification likelihood

26 February 2020
E. Côme
Nicolas Jouvin
Pierre Latouche
C. Bouveyron
ArXiv (abs)PDFHTML

Papers citing "Hierarchical clustering with discrete latent variable models and the integrated classification likelihood"

5 / 5 papers shown
Title
Tree-based variational inference for Poisson log-normal models
Tree-based variational inference for Poisson log-normal models
Alexandre Chaussard
Anna Bonnet
Elisabeth Gassiat
Sylvain Le Corff
65
0
0
25 Jun 2024
Bayesian contiguity constrained clustering, spanning trees and
  dendrograms
Bayesian contiguity constrained clustering, spanning trees and dendrograms
E. Côme
51
0
0
24 Feb 2023
Bayesian information criteria for clustering normally distributed data
Bayesian information criteria for clustering normally distributed data
A. Webster
13
0
0
10 Aug 2020
Extended Stochastic Block Models with Application to Criminal Networks
Extended Stochastic Block Models with Application to Criminal Networks
Sirio Legramanti
T. Rigon
Daniele Durante
David B. Dunson
68
22
0
16 Jul 2020
missSBM: An R Package for Handling Missing Values in the Stochastic
  Block Model
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model
P. Barbillon
J. Chiquet
Timothée Tabouy
53
2
0
28 Jun 2019
1