CLUSTERING OF DOCUMENT COLLECTIONS BASED ON THE ADAPTIVE SELF-ORGANIZING NEURAL NETWORK

Authors

  • Ye. V. Bodianskiy Kharkiv National University of Radio Electronics, Ukraine
  • V. V. Volkova Kharkiv National University of Radio Electronics, Ukraine
  • A. S. Yegorov Kharkiv National University of Radio Electronics, Ukraine

Abstract

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.

References

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Published

2008-09-15

How to Cite

Bodianskiy, Y. V., Volkova, V. V., & Yegorov, A. S. (2008). CLUSTERING OF DOCUMENT COLLECTIONS BASED ON THE ADAPTIVE SELF-ORGANIZING NEURAL NETWORK. Radio Electronics, Computer Science, Control, (1). Retrieved from http://ric.zntu.edu.ua/article/view/23597

Issue

No. 1 (2009): Radio Electronics, Computer Science, Control

Section

Neuroinformatics and intelligent systems

License

Copyright (c) 2014 Ye. V. Bodianskiy, V. V. Volkova, A. S. Yegorov

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