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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2012
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| 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 |