Welcome to the InfoSci Platform
Reference Hub12
Study of Sensitive Parameters of PSO Application to Clustering of Texts

Study of Sensitive Parameters of PSO Application to Clustering of Texts

Reda Mohamed Hamou, Abdelmalek Amine, Ahmed Chaouki Lokbani
Copyright: © 2013 |Volume: 4 |Issue: 2 |Pages: 15
ISSN: 1942-3594|EISSN: 1942-3608|EISBN13: 9781466632769|DOI: 10.4018/jaec.2013040104
Cite Article Cite Article

MLA

Hamou, Reda Mohamed, et al. "Study of Sensitive Parameters of PSO Application to Clustering of Texts." IJAEC vol.4, no.2 2013: pp.41-55. http://doi.org/10.4018/jaec.2013040104

APA

Hamou, R. M., Amine, A., & Lokbani, A. C. (2013). Study of Sensitive Parameters of PSO Application to Clustering of Texts. International Journal of Applied Evolutionary Computation (IJAEC), 4(2), 41-55. http://doi.org/10.4018/jaec.2013040104

Chicago

Hamou, Reda Mohamed, Abdelmalek Amine, and Ahmed Chaouki Lokbani. "Study of Sensitive Parameters of PSO Application to Clustering of Texts," International Journal of Applied Evolutionary Computation (IJAEC) 4, no.2: 41-55. http://doi.org/10.4018/jaec.2013040104

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

In this paper, the authors study the parameter sensitivity of the technique of particles warm optimization (PSO) for the clustering of data, in particular the text. They experienced the PSO parameters by varying within a range of research and we noted the best result of clustering based on three measures of assessment, internal, which is the index of Davies and Bouldin and two external based on recall and precision that are the F-measure and entropy. Every time they finished an experimentation of a parameter, it is fixed to its optimal value for the next experiment parameters. The results showed a high sensitivity of some parameters on the result of clustering.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.