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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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| Pubblicato in: | J R Stat Soc Series B Stat Methodol |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2014
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| Soggetti: | |
| Accesso online: | 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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