Joint L1/2-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...
| Publicado en: | BioMed Research International Vol. 2017; pp. 1 - 15 |
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| Autores principales: | , , , , , |
| Formato: | algorithm equations & formulas research Journal Article |
| Publicado: |
Wiley-Blackwell
4/2/2017
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| Acceso en línea: | Ver este registro en EBSCOhost |