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...
Main Authors: | Swesi, Idheba Mohamad Ali Omer, Abu Bakar, Azuraliza |
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Format: | Article |
Language: | English |
Published: |
Universiti Utara Malaysia
2019
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Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/26846/1/JICT%2018%204%202019%20439-472.pdf |
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