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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...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2007
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1991588/ https://ncbi.nlm.nih.gov/pubmed/17912341 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0001002 |
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