A hierarchical information theoretic technique for the discovery of non linear alternative clusterings

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    Author
    Dang, XH; Bailey, J
    Date
    2010-09-07
    Source Title
    Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
    Publisher
    ACM Press
    University of Melbourne Author/s
    DANG, XUAN HONG; Bailey, James
    Affiliation
    Computer Science and Software Engineering
    Metadata
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    Document Type
    Conference Paper
    Citations
    Dang, X. H. & Bailey, J. (2010). A hierarchical information theoretic technique for the discovery of non linear alternative clusterings. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.573-582. ACM Press. https://doi.org/10.1145/1835804.1835878.
    Access Status
    This item is currently not available from this repository
    URI
    http://hdl.handle.net/11343/29370
    DOI
    10.1145/1835804.1835878
    Keywords
    Artificial Intelligence and Image Processing

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