Redundancy Is Not Necessarily Detrimental in Classification Problems

Redundancy Is Not Necessarily Detrimental in Classification Problems

In feature selection, redundancy is one of the major concerns since the removal of redundancy in data is connected with dimensionality reduction. Despite the evidence of such a connection, few works present theoretical studies regarding redundancy. In this work, we analyze the effect of redundant fe...

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Autores principales: Sebastián Alberto Grillo, José Luis Vázquez Noguera, Julio César Mello Román, Miguel García-Torres, Jacques Facon, Diego P. Pinto-Roa, Luis Salgueiro Romero, Francisco Gómez-Vela, Laura Raquel Bareiro Paniagua, Deysi Natalia Leguizamon Correa
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
feature selection
feature construction
classification
Mathematics
QA1-939
Acceso en línea:https://doaj.org/article/59081a7873574c42abfaf89268578daa
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https://doaj.org/article/59081a7873574c42abfaf89268578daa

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