Elitist Binary Wolf Search Algorithm for Heuristic Feature Selection in High-Dimensional Bioinformatics Datasets

Due to the high-dimensional characteristics of dataset, we propose a new method based on the Wolf Search Algorithm (WSA) for optimising the feature selection problem. The proposed approach uses the natural strategy established by Charles Darwin; that is, ‘It is not the strongest of the species that...

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Detalles Bibliográficos
Autores principales: Li, Jinyan, Fong, Simon, Wong, Raymond K., Millham, Richard, Wong, Kelvin K. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5489518/
https://www.ncbi.nlm.nih.gov/pubmed/28659577
http://dx.doi.org/10.1038/s41598-017-04037-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5489518/
https://www.ncbi.nlm.nih.gov/pubmed/28659577
http://dx.doi.org/10.1038/s41598-017-04037-5

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