LVQ-SMOTE – Learning Vector Quantization based Synthetic Minority Over–sampling Technique for biomedical data

BACKGROUND: Over-sampling methods based on Synthetic Minority Over-sampling Technique (SMOTE) have been proposed for classification problems of imbalanced biomedical data. However, the existing over-sampling methods achieve slightly better or sometimes worse result than the simplest SMOTE. In order...

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Detalles Bibliográficos
Autores principales: Nakamura, Munehiro, Kajiwara, Yusuke, Otsuka, Atsushi, Kimura, Haruhiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4016036/
https://www.ncbi.nlm.nih.gov/pubmed/24088532
http://dx.doi.org/10.1186/1756-0381-6-16

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4016036/
https://www.ncbi.nlm.nih.gov/pubmed/24088532
http://dx.doi.org/10.1186/1756-0381-6-16

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