toolbox_dimreduc - a toolbox for dimension reduction methods

This toolbox is an educational and recreative toolbox around recent ideas in the field of dimension reduction.

This toolbox contains a set of helpers and test scripts to play with the following algorithms :
* PCA : classical Principal Componnent Analysis (linear projection).
* Isomap <http://isomap.stanford.edu/>
	A Global Geometric Framework for Nonlinear Dimensionality Reduction 
	J. B. Tenenbaum, V. de Silva and J. C. Langford 
	Science 290, 2319
* LLE <http://www.cs.toronto.edu/~roweis/lle/>
	Nonlinear dimensionality reduction by locally linear embedding.
	Sam Roweis & Lawrence Saul.
	Science, v.290 no.5500 , Dec.22, 2000. pp.2323--2326.
* HLLE <http://basis.stanford.edu/WWW/HLLE/frontdoc.htm>
	Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
	David L. Donoho and Carrie Grimes
	Proc Natl Acad Sci U S A. 2003 May 13; 100(10): 5591