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Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering

Laith Mohammad Qasim Abualigah

978-3-030-10674-4

2019
Edition 1
- Presents a new method for solving the text document clustering problem and demonstrates that it can outperform other comparable methods
- Covers the main text clustering preprocessing steps and the metaheuristics needed in order to deal with the text document clustering problems
- Proposes methods that can be applied to a broad range of text documents (e.g. newsgroup documents appearing on newswires, Internet web pages, and hospital information), modern applications (technical reports and university data), and the biomedical sciences (large biomedical datasets)
€180 €162
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