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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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Agrafiotis, Dimitris K., Xu, Huafeng
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: National Academy of Sciences 2002
Aiheet:
Linkit: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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