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.denslow@gmail.com]
Inviato: dom 14/02/2010 23.46
A: mauede@alice.it
Cc: r-help@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
>
>
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