A carregar...
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...
Na minha lista:
| Main Authors: | , |
|---|---|
| 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 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|