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...
| 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: | |
| Online Access: | Full Text via HEAL-Link |
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