Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering

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...

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Bibliographic Details
Main Author: Abualigah, Laith Mohammad Qasim (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
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.
Online Access:Full-text access
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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.

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