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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Mathematics
Subjects:
feature selection
feature construction
classification
Online Access:https://www.mdpi.com/2227-7390/9/22/2899

Internet

https://www.mdpi.com/2227-7390/9/22/2899

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