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Joint L(1/2)-Norm Constraint and Graph-Laplacian PCA Method for Feature Extraction
Principal Component Analysis (PCA) as a tool for dimensionality reduction is widely used in many areas. In the area of bioinformatics, each involved variable corresponds to a specific gene. In order to improve the robustness of PCA-based method, this paper proposes a novel graph-Laplacian PCA algori...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5392409/ https://www.ncbi.nlm.nih.gov/pubmed/28470011 http://dx.doi.org/10.1155/2017/5073427 |