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    IEICET
    2007
    79views more  IEICET 2007»
    Competing Behavior of Two Kinds of Self-Organizing Maps and Its Application to Clustering
    13 years 5 months ago
    Competing Behavior of Two Kinds of Self-Organizing Maps and Its Application to Clustering
    Download  nlab.ee.tokushima-u.ac.jp
    Haruna Matsushita, Yoshifumi Nishio
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    IJCNN
    2006
    IEEE
    120views Neural Networks» more  IJCNN 2006»
    Tentacled Self-Organizing Map for Effective Data Extraction
    13 years 11 months ago
    Tentacled Self-Organizing Map for Effective Data Extraction
    Download  nlab.ee.tokushima-u.ac.jp
    — Since we can accumulate a huge amount of data including useless information in these years, it is important to investigate various extraction method of clusters from data inclu...
    Haruna Matsushita, Yoshifumi Nishio
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    CORR
    2004
    Springer
    180views Education» more  CORR 2004»
    Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning
    13 years 5 months ago
    Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning
    Download  www.chemoton.org
    Social insect societies and more specifically ant colonies, are distributed systems that, in spite of the simplicity of their individuals, present a highly structured social organi...
    Vitorino Ramos, Juan J. Merelo Guervós
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    IJCNN
    2006
    IEEE
    127views Neural Networks» more  IJCNN 2006»
    Behavior of Fatigable SOM and its Application to Clustering
    13 years 11 months ago
    Behavior of Fatigable SOM and its Application to Clustering
    Download  www-akio2.ee.tokushima-u.ac.jp
    Abstract— The Self-Organizing Map (SOM) is popular algorithm for unsupervised learning and visualization introduced by Teuvo Kohonen. One of the most attractive applications of S...
    Masato Tomita, Haruna Matsushita, Yoshifumi Nishio
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    ENGL
    2007
    180views more  ENGL 2007»
    Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
    13 years 5 months ago
    Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
    Download  www.engineeringletters.com
    — The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
    Shreyas Sen, Seetharam Narasimhan, Amit Konar
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