Thank you. Sorry. My question is rather ambiguous. Imeant to aske for Dimensionality Reduction methods and/or Intrinsic Dimensionality Estimation methods that can deal with non-linear data. That is, data that do not lie on a hyper-plane. ISOMAP is one of such methods. LLE, AutoEncoder, GTM Kernel PCA are other methods that are used with non-linear data.
Maura -----Messaggio originale----- Da: Michael Denslow [mailto:michael.dens...@gmail.com] Inviato: dom 14/02/2010 23.46 A: mau...@alice.it Cc: r-h...@stat.math.ethz.ch Oggetto: Re: [R] Dimensional reduction package Hi Maura, > Is there any R package which implements non-linear dimensionality reduction > (LLE, ISOMAP, GTM, and so on) and/or intrinsic dimensionality estimation ? I am not exactly sure what is meant by non-linear dimensionality reduction but there is an isomap function in vegan. This is the isomap of Tenenbaum et al. 2000 and De'ath 1999. library(vegan) ?isomap De'ath, G. (1999) Extended dissimilarity: a method of robust estimation of ecological distances from high beta diversity data. Plant Ecology 144, 191-199 Tenenbaum, J.B., de Silva, V. & Langford, J.C. (2000) A global network framework for nonlinear dimensionality reduction. Science 290, 2319-2323. Hope this helps, Michael > Thank you, > Maura > > > tutti i telefonini TIM! > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Michael Denslow I.W. Carpenter Jr. Herbarium [BOON] Department of Biology Appalachian State University Boone, North Carolina U.S.A. -- AND -- Communications Manager Southeast Regional Network of Expertise and Collections sernec.org 36.214177, -81.681480 +/- 3103 meters tutti i telefonini TIM! [[alternative HTML version deleted]]
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
