Nature-Inspired Optimization Algorithms for Text Document Clustering—A Comprehensive Analysis

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...

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Bibliographic Details
Main Authors: Laith Abualigah, Amir H. Gandomi, Mohamed Abd Elaziz, Abdelazim G. Hussien, Ahmad M. Khasawneh, Mohammad Alshinwan, Essam H. Houssein
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Algorithms
Subjects:
nature-inspired
optimization algorithms
machine learning
optimization problems
text clustering applications
Online Access:https://www.mdpi.com/1999-4893/13/12/345

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https://www.mdpi.com/1999-4893/13/12/345

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