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    Developing additive spectral approach to fuzzy clustering

    Mirkin, Boris and Nascimento, S. (2011) Developing additive spectral approach to fuzzy clustering. In: Kuznetsov, S.O. and Ślęzak, D. and Hepting, D.H. and Mirkin, Boris (eds.) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. Lecture Notes in Computer Science 6743. Berlin, Germany: Springer Verlag, pp. 273-277. ISBN 9783642218804.

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    Abstract

    An additive spectral method for fuzzy clustering is presented. The method operates on a clustering model which is an extension of the spectral decomposition of a square matrix. The computation proceeds by extracting clusters one by one, which allows us to draw several stopping rules to the procedure. We experimentally test the performance of our method and show its competitiveness.

    Metadata

    Item Type: Book Section
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Structural Molecular Biology, Institute of (ISMB)
    Depositing User: Sarah Hall
    Date Deposited: 26 Jul 2013 08:39
    Last Modified: 06 Dec 2016 10:33
    URI: http://eprints.bbk.ac.uk/id/eprint/7827

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