Bregman divergences and the self organising map

Eunsong Jang, Colin Fyfe, Hanseok Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

We discuss Bregman divergences and the very close relationship between a class of these divergences and the regular family of exponential distributions before applying them to various topology preserving dimension reducing algorithms. We apply these methods to identification of structure in magnetic resonance images of the brain and show that different divergences reveal different structure in these images.

Original languageEnglish
Title of host publicationIntelligent Data Engineering and Automated Learning - IDEAL 2008 - 9th International Conference, Proceedings
Pages452-458
Number of pages7
DOIs
Publication statusPublished - 2008
Event9th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2008 - Daejeon, Korea, Republic of
Duration: 2008 Nov 22008 Nov 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5326 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2008
CountryKorea, Republic of
CityDaejeon
Period08/11/208/11/5

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Jang, E., Fyfe, C., & Ko, H. (2008). Bregman divergences and the self organising map. In Intelligent Data Engineering and Automated Learning - IDEAL 2008 - 9th International Conference, Proceedings (pp. 452-458). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5326 LNCS). https://doi.org/10.1007/978-3-540-88906-9-57