CBFS: High Performance Feature Selection Algorithm Based on Feature Clearness

BACKGROUND: The goal of feature selection is to select useful features and simultaneously exclude garbage features from a given dataset for classification purposes. This is expected to bring reduction of processing time and improvement of classification accuracy. METHODOLOGY: In this study, we devis...

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Detalles Bibliográficos
Autores principales: Seo, Minseok, Oh, Sejong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3391246/
https://www.ncbi.nlm.nih.gov/pubmed/22792310
http://dx.doi.org/10.1371/journal.pone.0040419

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3391246/
https://www.ncbi.nlm.nih.gov/pubmed/22792310
http://dx.doi.org/10.1371/journal.pone.0040419

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