An oversampling method for multi-class imbalanced data based on composite weights

To solve the oversampling problem of multi-class small samples and to improve their classification accuracy, we develop an oversampling method based on classification ranking and weight setting. The designed oversampling algorithm sorts the data within each class of dataset according to the distance...

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Autores principales: Mingyang Deng, Yingshi Guo, Chang Wang, Fuwei Wu
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/eaaaafb40d534f909aaa7d20b8c277fc
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