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Spatially Weighted Principal Component Analysis for Imaging Classification
The aim of this paper is to develop a supervised dimension reduction framework, called Spatially Weighted Principal Component Analysis (SWPCA), for high dimensional imaging classification. Two main challenges in imaging classification are the high dimensionality of the feature space and the complex...
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| Gepubliceerd in: | J Comput Graph Stat |
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| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2014
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4467033/ https://ncbi.nlm.nih.gov/pubmed/26089629 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2014.912135 |
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