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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Những tác giả chính: Idheba Mohamad Ali Omer Swesi, Azuraliza Abu Bakar
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: UUM Press 2019-09-01
Loạt:Journal of ICT
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Truy cập trực tuyến:https://e-journal.uum.edu.my/index.php/jict/article/view/12327