ViSOM ensembles for visualization and classification

Bruno Baraque, Emilio Corchado, Hujun Yin

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    In this paper ensemble techniques have been applied in the frame of topology preserving mappings in two applications: classification and visualization. These techniques are applied for the first time to the ViSOM and their performance is compared with ensemble combination of some other topology preserving mapping such as the SOM or the MLSIM. Several methods to obtain a meaningful combination of the components of an ensemble are presented and tested together with the existing ones in order to identify the best performing method in the applications of these models. © Springer-Verlag Berlin Heidelberg 2007.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.
    PublisherSpringer Nature
    Pages235-243
    Number of pages8
    Volume4507
    ISBN (Print)9783540730064
    Publication statusPublished - 2007
    Event9th International Work-Conference on Artificial Neural Networks, IWANN 2007 - San Sebastian
    Duration: 1 Jul 2007 → …

    Conference

    Conference9th International Work-Conference on Artificial Neural Networks, IWANN 2007
    CitySan Sebastian
    Period1/07/07 → …

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