A Partitioning Based Adaptive Method for Robust Removal of Irrelevant Features from High-dimensional Biomedical Datasets

We propose a novel method called Partitioning based Adaptive Irrelevant Feature Eliminator (PAIFE) for dimensionality reduction in high-dimensional biomedical datasets. PAIFE evaluates feature-target relationships over not only a whole dataset, but also the partitioned subsets and is extremely effec...

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Detalles Bibliográficos
Autores principales: Liu1, Guodong, Kong, Lan, Gopalakrishnan, Vanathi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2012
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3392052/
https://www.ncbi.nlm.nih.gov/pubmed/22779051

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3392052/
https://www.ncbi.nlm.nih.gov/pubmed/22779051

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