Feature clustering for pso-based feature construction on high-dimensional data

Feature construction (FC) refers to a process that uses the original features to construct new features with better discrimination ability. Particle Swarm Optimisation (PSO) is an effective search technique that has been successfully utilised in FC. However, the application of PSO for feature constr...

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Bibliographic Details

Main Authors:	Swesi, Idheba Mohamad Ali Omer, Abu Bakar, Azuraliza
Format:	Article
Language:	en
Published:	Universiti Utara Malaysia 2019
Subjects:	QA76 Computer software
Online Access:	https://repo.uum.edu.my/id/eprint/26846/1/JICT%2018%204%202019%20439-472.pdf https://repo.uum.edu.my/id/eprint/26846/ http://jict.uum.edu.my/index.php/previous-issues/168-journal-of-information-and-communication-technology-jict-vol-18-no-4-october-2019
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