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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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/92026/ http://dx.doi.org/10.1109/ISIEA49364.2020.9188198 |
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