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Integrating Data Transformation in Principal Components Analysis
Principal component analysis (PCA) is a popular dimension reduction method to reduce the complexity and obtain the informative aspects of high-dimensional datasets. When the data distribution is skewed, data transformation is commonly used prior to applying PCA. Such transformation is usually obtain...
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| Publicado no: | J Comput Graph Stat |
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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/PMC4408558/ https://ncbi.nlm.nih.gov/pubmed/25914514 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2014.891461 |
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