ARTICLE
TITLE

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

SUMMARY

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.

PAGES
COLLECTIONS
Computing
Technology

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