Skip to main content
Conference ProceedingsOPEN ACCESS

The block generative topographic mapping

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2008) 5064 LNAI 13-23
DOI: 10.1007/978-3-540-69939-2_2
5Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

This paper presents a generative model and its estimation allowing to visualize binary data. Our approach is based on the Bernoulli block mixture model and the probabilistic self-organizing maps. This leads to an efficient variant of Generative Topographic Mapping. The obtained method is parsimonious and relevant on real data. © 2008 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Priam, R., Nadif, M., & Govaert, G. (2008). The block generative topographic mapping. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5064 LNAI, pp. 13–23). https://doi.org/10.1007/978-3-540-69939-2_2

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free