Bregman divergences and the self organising map

Eunsong Jang, Colin Fyfe, Hanseok Ko

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

    13 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
    PublisherSpringer Verlag
    Pages452-458
    Number of pages7
    ISBN (Print)3540889051, 9783540889052
    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
    Country/TerritoryKorea, Republic of
    CityDaejeon
    Period08/11/208/11/5

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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