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Penalized mixtures of factor analyzers with application to clustering high-dimensional microarray data
Motivation: Model-based clustering has been widely used, e.g. in microarray data analysis. Since for high-dimensional data variable selection is necessary, several penalized model-based clustering methods have been proposed tørealize simultaneous variable selection and clustering. However, the exist...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Oxford University Press
2010
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2852217/ https://ncbi.nlm.nih.gov/pubmed/20031967 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btp707 |
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