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)...

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Detalles Bibliográficos
Autores principales: Higgs, Brandon W, Weller, Jennifer, Solka, Jeffrey L
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Research Article
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

Internet

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

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