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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書目詳細資料
Main Authors: Idheba Mohamad Ali Omer Swesi, Azuraliza Abu Bakar
格式: Article
語言:English
出版: UUM Press 2019-09-01
叢編:Journal of ICT
主題:
在線閱讀:https://e-journal.uum.edu.my/index.php/jict/article/view/12327