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Optimality Driven Nearest Centroid Classification from Genomic Data
Nearest-centroid classifiers have recently been successfully employed in high-dimensional applications, such as in genomics. A necessary step when building a classifier for high-dimensional data is feature selection. Feature selection is frequently carried out by computing univariate scores for each...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2007
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1991588/ https://www.ncbi.nlm.nih.gov/pubmed/17912341 http://dx.doi.org/10.1371/journal.pone.0001002 |