A Grey Wolf Optimizer for Text Document Clustering

A Grey Wolf Optimizer for Text Document Clustering

Text clustering problem (TCP) is a leading process in many key areas such as information retrieval, text mining, and natural language processing. This presents the need for a potent document clustering algorithm that can be used effectively to navigate, summarize, and arrange information to congrega...

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Bibliographic Details
Main Authors: Rashaideh Hasan, Sawaie Ahmad, Al-Betar Mohammed Azmi, Abualigah Laith Mohammad, Al-laham Mohammed M., Al-Khatib Ra’ed M., Braik Malik
Format: Article
Language:English
Published: De Gruyter 2018-07-01
Series:Journal of Intelligent Systems
Subjects:
text document clustering
optimization
metaheuristic
grey wolf optimizer
swarm intelligence
Online Access:https://doi.org/10.1515/jisys-2018-0194

Internet

https://doi.org/10.1515/jisys-2018-0194

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