Tenenbaum Reduction A Global Geometric Framework for Nonlinear Dimensionality
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, 2319 (2000); 290 Science et al. Joshua B. Tenenbaum Reduction A Global Geometric Framework for Nonlinear Dimensionality This copy is for your personal, non-commercial use only. clicking here. colleagues, clients, or customers by , you can order high-quality copies for your If you wish to distribute this article to others here. following the guidelines can be obtained by Permission to republish or repurpose articles or portions of articles ): November 9, 2014 www.sciencemag.org (this information is current as of The following resources related to this article are available online at http://www.sciencemag.org/content/290/5500/2319.full.html version of this article at: including high-resolution figures, can be found in the online Updated information and services, http://www.sciencemag.org/content/suppl/2000/12/21/290.5500.2319.DC1.html can be found at: Supporting Online Material http://www.sciencemag.org/content/290/5500/2319.full.html#related found at: can be related to this article A list of selected additional articles on the Science Web sites http://www.sciencemag.org/content/290/5500/2319.full.html#ref-list-1 , 10 of which can be accessed free: cites 29 articles This article 708 article(s) on the ISI Web of Science cited by This article has been http://www.sciencemag.org/content/290/5500/2319.full.html#related-urls 82 articles hosted by HighWire Press; see: cited by This article has been http://www.sciencemag.org/cgi/collection/psychology Psychology subject collections: This article appears in the following
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Joshua B . Tenenbaum Reduction A Global Geometric Framework for Nonlinear Dimensionality
clicking here. colleagues, clients, or customers by , you can order high-quality copies for your If you wish to distribute this article to others here. following the guidelines can be obtained by Permission to republish or repurpose articles or portions of articles ): September 20, 2013 www.sciencemag.org (this information is current as of The following resources related to this article are a...
متن کاملA global geometric framework for nonlinear dimensionality reduction.
Scientists working with large volumes of high-dimensional data, such as global climate patterns, stellar spectra, or human gene distributions, regularly confront the problem of dimensionality reduction: finding meaningful low-dimensional structures hidden in their high-dimensional observations. The human brain confronts the same problem in everyday perception, extracting from its high-dimension...
متن کاملGlobal Versus Local Methods in Nonlinear Dimensionality Reduction
Recently proposed algorithms for nonlinear dimensionality reduction fall broadly into two categories which have different advantages and disadvantages: global (Isomap [1]), and local (Locally Linear Embedding [2], Laplacian Eigenmaps [3]). We present two variants of Isomap which combine the advantages of the global approach with what have previously been exclusive advantages of local methods: c...
متن کاملJoshua B . Tenenbaum , Dimensionality Reduction A Global Geometric Framework for Nonlinear
http://www.sciencemag.org/cgi/content/full/290/5500/2319 version of this article at: including high-resolution figures, can be found in the online Updated information and services, http://www.sciencemag.org/cgi/content/full/290/5500/2319/DC1 can be found at: Supporting Online Material found at: can be related to this article A list of selected additional articles on the Science Web sites http:/...
متن کاملTenenbaum , Dimensionality Reduction A Global Geometric Framework for Nonlinear
www.sciencemag.org (this information is current as of February 19, 2007 ): The following resources related to this article are available online at http://www.sciencemag.org/cgi/content/full/290/5500/2319 version of this article at: including high-resolution figures, can be found in the online Updated information and services, http://www.sciencemag.org/cgi/content/full/290/5500/2319/DC1 can be f...
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