A Neighborhood Model with Both Distance and Quantity Constraints for Multilabel Data

In this paper, a novel distance-based multilabel classification algorithm is proposed. The proposed algorithm combines k-nearest neighbors (kNN) with neighborhood classifier (NC) to impose double constraints on the quantity and distance of the neighbors. In short, the radius constraint is introduced...

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Detalles Bibliográficos
Autores principales: Jiang, Xiaoli, Zhou, Jing, Qiao, Xinyue, Peng, Chang, Su, Shiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512597/
https://www.ncbi.nlm.nih.gov/pubmed/36172313
http://dx.doi.org/10.1155/2022/9891971

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512597/
https://www.ncbi.nlm.nih.gov/pubmed/36172313
http://dx.doi.org/10.1155/2022/9891971

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