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Spectral embedding finds meaningful (relevant) structure in image and microarray data
BACKGROUND: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing measurements across thousands of variables. Principal components analysis (PCA) is a linear dimensionality reduction (DR)...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1395341/ https://www.ncbi.nlm.nih.gov/pubmed/16483359 http://dx.doi.org/10.1186/1471-2105-7-74 |