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Manifold Learning by Preserving Distance Orders
Nonlinear dimensionality reduction is essential for the analysis and the interpretation of high dimensional data sets. In this manuscript, we propose a distance order preserving manifold learning algorithm that extends the basic mean-squared error cost function used mainly in multidimensional scalin...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4096825/ https://ncbi.nlm.nih.gov/pubmed/25045195 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patrec.2013.11.022 |
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