Random KNN feature selection - a fast and stable alternative to Random Forests

BACKGROUND: Successfully modeling high-dimensional data involving thousands of variables is challenging. This is especially true for gene expression profiling experiments, given the large number of genes involved and the small number of samples available. Random Forests (RF) is a popular and widely...

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Detalles Bibliográficos
Autores principales: Li, Shengqiao, Harner, E James, Adjeroh, Donald A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3281073/
https://www.ncbi.nlm.nih.gov/pubmed/22093447
http://dx.doi.org/10.1186/1471-2105-12-450

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3281073/
https://www.ncbi.nlm.nih.gov/pubmed/22093447
http://dx.doi.org/10.1186/1471-2105-12-450

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