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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Bibliografski detalji
Glavni autori: Idheba Mohamad Ali Omer Swesi, Azuraliza Abu Bakar
Format: Članak
Jezik:English
Izdano: UUM Press 2019-09-01
Serija:Journal of ICT
Teme:
Particle swarm optimisation
feature construction
genetic programming
classification
high-dimensional data
Online pristup: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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