A hybrid chaotic particle swarm optimization with differential evolution for feature selection

The selection of feature subsets has been broadly utilized in data mining and machine learning tasks to produce a solution with a small number of features which improves the classifier's accuracy and it also aims to reduce the dataset dimensionality while still sustaining high classification pe...

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Bibliographic Details
Main Authors: Ajibade, Samuel Soma M., Ahmad, Nor Bahiah, Zainal, Anazida
Format: Conference or Workshop Item
Published: 2020
Subjects:
Online Access:http://eprints.utm.my/id/eprint/92026/
http://dx.doi.org/10.1109/ISIEA49364.2020.9188198
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