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Amine et al., 2008 - Google Patents

Wordnet-based and n-grams-based document clustering: A comparative study

Amine et al., 2008

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Document ID
12014819190960499270
Author
Amine A
Elberrichi Z
Simonet M
Malki M
Publication year
Publication venue
2008 Third International Conference on Broadband Communications, Information Technology & Biomedical Applications

External Links

Snippet

A great number of methods of unsupervised classifications also called clustering were applied to the textual documents. In this paper, we initially propose the method of the self- organizing maps of Kohonen for the clustering of the textual documents based on the n …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
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