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Low-rank graph optimization for multi-view dimensionality reduction
Graph-based dimensionality reduction methods have attracted substantial attention due to their successful applications in many tasks, including classification and clustering. However, most classical graph-based dimensionality reduction approaches are only applied to data from one view. Hence, combin...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6919611/ https://www.ncbi.nlm.nih.gov/pubmed/31851696 http://dx.doi.org/10.1371/journal.pone.0225987 |