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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Détails bibliographiques
Auteurs principaux: Idheba Mohamad Ali Omer Swesi, Azuraliza Abu Bakar
Format: Article
Langue:English
Publié: UUM Press 2019-09-01
Collection:Journal of ICT
Sujets:
Accès en ligne:https://e-journal.uum.edu.my/index.php/jict/article/view/12327