A Binary Waterwheel Plant Optimization Algorithm for Feature Selection

A Binary Waterwheel Plant Optimization Algorithm for Feature Selection

The vast majority of today’s data is collected and stored in enormous databases with a wide range of characteristics that have little to do with the overarching goal concept. Feature selection is the process of choosing the best features for a classification problem, which improves the cl...

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Bibliographic Details
Main Authors: Amel Ali Alhussan, Abdelaziz A. Abdelhamid, El-Sayed M. El-Kenawy, Abdelhameed Ibrahim, Marwa Metwally Eid, Doaa Sami Khafaga, Ayman Em Ahmed
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Feature selection
waterwheel plant
meta-heuristic optimization
K-nearest neighbors
binary optimizer
bWWPA
Online Access:https://ieeexplore.ieee.org/document/10239158/

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