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Sparsifying the Fisher Linear Discriminant by Rotation
Many high dimensional classification techniques have been proposed in the literature based on sparse linear discriminant analysis (LDA). To efficiently use them, sparsity of linear classifiers is a prerequisite. However, this might not be readily available in many applications, and rotations of data...
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| Publicado no: | J R Stat Soc Series B Stat Methodol |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4620068/ https://ncbi.nlm.nih.gov/pubmed/26512210 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssb.12092 |
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