Feature Selection And Enhanced Krill Herd Algorithm For Text Document Clustering

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Feature Selection And Enhanced Krill Herd Algorithm For Text Document Clustering

Text document (TD) clustering is a new trend in text mining in which the TDs are separated into several coherent clusters, where documents in the same cluster are similar. In this study, a new method for solving the TD clustering problem worked in the following two stages: (i) A new feature selecti...

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Bibliographic Details
Main Author:	Abualigah, Laith Mohammad Qasim
Format:	Thesis
Language:	English
Published:	2018
Subjects:	QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://eprints.usm.my/43662/ http://eprints.usm.my/43662/1/LAITH%20MOHAMMAD%20QASIM%20ABUALIGAH.pdf

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