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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/46121

    Title: A neural-network-based approach to detecting hyperellipsoidal shells
    Authors: 蘇木春;Su, Mu-chun;Liu, I-chen
    Contributors: 淡江大學電機工程學系
    Keywords: cluster analysis;neural networks;shell detection
    Date: 1999-06
    Issue Date: 2010-03-26 20:59:49 (UTC+8)
    Publisher: Springer
    Abstract: This paper presents a novel class of neural networks which can be trained in an unsupervised manner to detect a mixture of hyperellipsoidal shells and/or segments of hyperellipsoidal shells. This approach is computationally and implementationally simpler than other clustering algorithms that have been suggested for this purpose. Experimental results on several data sets are presented.
    Relation: Neural Processing Letters 9(3), pp.279-292
    DOI: 10.1023/A:1018676508833
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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