T. Honkela, S. Kaski, K. Lagus, and T. Kohonen. Newsgroup exploration with websom method and browsing interface. Technical Report A32, Helsinki University of Technology, Laboratory of Computer and Information Science, Rakentajanaukio 2 C, SF-02150 Espoo, Finland, 1996. [url]

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This paper present the application of the SOM method to the exploration of a large number of usenet messages. This method, introduced by Kohonen, in 1982 is a means for automatically arranging high-dimensional statistical data so that alike inputs are in general mapped close to each other.

The general concept is that words are first organised into categories on a word category map, then an encoding of the documents can be achieved that explicity expresses the similarity of the word meanings.

This word category map os a self-organising semantic map, in the definition of Ritter and Kohonen, 1989, that describes relations of words based on their averaged short contexts. The SOM is a supervised and calibrated method. The document map is then formed with the SOM algorithm using the histograms as fingerprints of the documents.

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Tags: clustering, map algorithms, maps