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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Автори: Idheba Mohamad Ali Omer Swesi, Azuraliza Abu Bakar
Формат: Стаття
Мова:English
Опубліковано: UUM Press 2019-09-01
Серія:Journal of ICT
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Онлайн доступ:https://e-journal.uum.edu.my/index.php/jict/article/view/12327