Improved Multi-Verse Optimizer In Text Document Clustering For Topic Extraction

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Improved Multi-Verse Optimizer In Text Document Clustering For Topic Extraction

This study aims to propose a suitable TE approach, which provides a better overview of the text documents. To achieve this aim: First, A new feature selection method for TDC, that is, binary multi-verse optimizer algorithm (BMVO) is proposed to eliminate irrelevantly, redundant features and obtain...

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Bibliographic Details
Main Author:	Abasi, Ammar Kamal Mousa
Format:	Thesis
Language:	English
Published:	2021
Subjects:	QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://eprints.usm.my/53371/ http://eprints.usm.my/53371/1/AMMAR%20KAMAL%20MOUSA%20ABASI%20-%20TESIS.pdf%20cut.pdf

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