A document clustering algorithm for discovering and describing topics

Author:

Anaya-Sánchez Henry,Pons-Porrata Aurora,Berlanga-Llavori Rafael

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference16 articles.

1. Anaya-Sánchez, H., Pons-Porrata, A., Berlanga-Llavori, R., 2008. A new document clustering algorithm for topic discovering and labeling. In: Proceedings of the CIARP’08, Lecture Notes in Computer Science, vol. 5197. Springer, pp. 161–168.

2. Berlanga-Llavori, R., Anaya-Sánchez, H., Pons-Porrata, A., Jimenez-Ruiz, E., 2008. Conceptual subtopic identification in the medical domain. In: Advances in Artificial Intelligence – IBERAMIA 2008, Lecture Notes in Computer Science, vol. 5197. Springer, pp. 312–321.

3. Buckley, C., Salton, G., Allan, J., Singhal, A., 1995. Automatic query expansion using smart: Trec-3. In: Proceedings of the Third TREC Conference, pp. 69–80.

4. Cutting, D.R., Pedersen, J.O., Karger, D.R., Tukey, J.W., 1992. Scatter/gather: A cluster-based approach to browsing large document collections. In: Belkin, N.J., Ingwersen, P., Pejtersen, A.M. (Eds.), Proceedings of the 15th Annual Internat. ACM SIGIR Conf. on Research and Development in Information Retrieval. ACM, pp. 318–329.

5. Pattern Classification;Duda,2001

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