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Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data
BACKGROUND: Dimensionality reduction (DR) enables the construction of a lower dimensional space (embedding) from a higher dimensional feature space while preserving object-class discriminability. However several popular DR approaches suffer from sensitivity to choice of parameters and/or presence of...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2012
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3395843/ https://www.ncbi.nlm.nih.gov/pubmed/22316103 http://dx.doi.org/10.1186/1471-2105-13-26 |