Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering

• Main Author: Abualigah, Laith Mohammad Qasim (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Studies in Computational Intelligence, 816
• Subjects: Computational intelligence.; Artificial intelligence.; Computational Intelligence.; Artificial Intelligence.

This book puts forward a new method for solving the text document (TD) clustering problem, which is established in two main stages: (i) A new feature selection method based on a particle swarm optimization algorithm with a novel weighting scheme is proposed, as well as a detailed dimension reduction...

Table of Contents:

• Chapter 1. Introduction
• Chapter 2. Krill Herd Algorithm
• Chapter 3. Literature Review
• Chapter 4. Proposed Methodology
• Chapter 5. Experimental Results
• Chapter 6. Conclusion and Future Work
• References
• List Of Publications.