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 const...

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Detalles Bibliográficos
Main Authors: Idheba Mohamad Ali Omer Swesi, Azuraliza Abu Bakar
Formato: Artigo
Idioma:English
Publicado: UUM Press 2019-09-01
Series:Journal of ICT
Subjects:
Acceso en liña:https://e-journal.uum.edu.my/index.php/jict/article/view/12327