FEATURE CLUSTERING FOR PSO-BASED FEATURE CONSTRUCTION ON HIGH-DIMENSIONAL DATA

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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Detaylı Bibliyografya
Asıl Yazarlar: Idheba Mohamad Ali Omer Swesi, Azuraliza Abu Bakar
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: UUM Press 2019-09-01
Seri Bilgileri:Journal of ICT
Konular:
Particle swarm optimisation
feature construction
genetic programming
classification
high-dimensional data
Online Erişim:https://e-journal.uum.edu.my/index.php/jict/article/view/12327

Internet

https://e-journal.uum.edu.my/index.php/jict/article/view/12327

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