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      A new feature selection method to improve the document clustering using particle swarm optimization algorithm

      Author(s): , ,
      Publication date Created:
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      Journal: Journal of Computational Science
      Publisher: Elsevier BV

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          A review of feature selection methods based on mutual information

          Jorge Vergara, Pablo Estévez (2014)
          Article 0 comments Cited 132 times – based on 0 reviews     Review now
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            Particle swarm optimization for parameter determination and feature selection of support vector machines

            Shih-Wei Lin, Kuo-Ching Ying, Jay Chen … (2008)
            Article 0 comments Cited 113 times – based on 0 reviews     Review now
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              Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering

              Laith Mohammad Abualigah, Ahamad Tajudin Khader (2017)
              Article 0 comments Cited 66 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Title: Journal of Computational Science
                Abbreviated Title: Journal of Computational Science
                Publisher: Elsevier BV
                ISSN (Print): 18777503
                Publication date Created: March 2018
                Publication date (Print): March 2018
                Volume: 25
                Pages: 456-466
                Article
                DOI: 10.1016/j.jocs.2017.07.018
                SO-VID: 3ab80048-8811-4f94-a3de-adea9ef65260
                Copyright © © 2018
                License:

                https://www.elsevier.com/tdm/userlicense/1.0/

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