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A self-organizing principle for learning nonlinear manifolds
Modern science confronts us with massive amounts of data: expression profiles of thousands of human genes, multimedia documents, subjective judgments on consumer products or political candidates, trade indices, global climate patterns, etc. These data are often highly structured, but that structure...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2002
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC138530/ https://ncbi.nlm.nih.gov/pubmed/12444256 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.242424399 |
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