CLUSTERING OF DOCUMENT COLLECTIONS BASED ON THE ADAPTIVE SELF-ORGANIZING NEURAL NETWORK
Науковий журнал «Радіоелектроніка, інформатика, управління»
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CLUSTERING OF DOCUMENT COLLECTIONS BASED ON THE ADAPTIVE SELF-ORGANIZING NEURAL NETWORK |
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Bodianskiy, Ye. V.; Kharkiv National University of Radio Electronics Volkova, V. V.; Kharkiv National University of Radio Electronics Yegorov, A. S.; Kharkiv National University of Radio Electronics |
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<p>In this paper the text document clustering method based on an adaptive self-organizing neural network is proposed. The adaptive self-organizing neural network allows to find cluster centroids in real time. The network is tuning using self-learning recursive algorithm that is the generalization of Kohonen learning rule. This neural network can be used in clusterization of text documents in conditions of overlapping classes.</p> |
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Zaporizhzhya National Technical University 2014-04-14 00:00:00 |
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application/pdf http://ric.zntu.edu.ua/article/view/23597 |
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Radio Electronics, Computer Science, Control; No 1 (2009): Radio Electronics, Computer Science, Control |
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Copyright (c) 2014 Ye. V. Bodianskiy, V. V. Volkova, A. S. Yegorov |
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