Nature-Inspired Optimization Algorithms for Text Document Clustering—A Comprehensive Analysis
Text clustering is one of the efficient unsupervised learning techniques used to partition a huge number of text documents into a subset of clusters. In which, each cluster contains similar documents and the clusters contain dissimilar text documents. Nature-inspired optimization algorithms have bee...
Main Authors: | Laith Abualigah, Amir H. Gandomi, Mohamed Abd Elaziz, Abdelazim G. Hussien, Ahmad M. Khasawneh, Mohammad Alshinwan, Essam H. Houssein |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
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Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/13/12/345 |
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