Innovative Feature Selection Method Based on Hybrid Sine Cosine and Dipper Throated Optimization Algorithms

Introduction: In pattern recognition and data mining, feature selection is one of the most crucial tasks. To increase the efficacy of classification algorithms, it is necessary to identify the most relevant subset of features in a given domain. This means that the feature selection challenge can be...

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Bibliographic Details

Main Authors:	Abdelaziz A. Abdelhamid, El-Sayed M. El-Kenawy, Abdelhameed Ibrahim, Marwa Metwally Eid, Doaa Sami Khafaga, Amel Ali Alhussan, Seyedali Mirjalili, Nima Khodadadi, Wei Hong Lim, Mahmoud Y. Shams
Format:	Artigo
Language:	Inglês
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Feature selection dipper throated optimization algorithm Sine cosine optimization algorithm meta-heuristic optimization
Online Access:	https://ieeexplore.ieee.org/document/10194924/
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