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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מידע ביבליוגרפי
Main Authors: Idheba Mohamad Ali Omer Swesi, Azuraliza Abu Bakar
פורמט: Article
שפה:English
יצא לאור: UUM Press 2019-09-01
סדרה:Journal of ICT
נושאים:
Particle swarm optimisation
feature construction
genetic programming
classification
high-dimensional data
גישה מקוונת:https://e-journal.uum.edu.my/index.php/jict/article/view/12327

אינטרנט

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

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