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Improved shrunken centroid classifiers for high-dimensional class-imbalanced data

BACKGROUND: PAM, a nearest shrunken centroid method (NSC), is a popular classification method for high-dimensional data. ALP and AHP are NSC algorithms that were proposed to improve upon PAM. The NSC methods base their classification rules on shrunken centroids; in practice the amount of shrinkage i...

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Detalhes bibliográficos
Main Authors: Blagus, Rok, Lusa, Lara
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2013
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3687811/
https://ncbi.nlm.nih.gov/pubmed/23433084
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-14-64
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