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= Diffi: The DIFFusion maps package from IPRJ =


== Description ==

This package contains different implementations of diffusion maps for the
following languages
- Scilab
- Matlab
- Python

=== What is diffusion maps? ===

This is a nonlinear dimensionality reduction technique used in machine learning,
artificial intelligence, and computer vision. It is useful for both supervised
and non-supervised learning. It was proposed by Steve
Zucker, R. Coifman, S. Lafon, and others. It bears many similarities with
Google's Pagerank algorithm the idea of random walks on graphs.

== Disclaimer ==

Most of this code is experimental research code that started being developed
during 2012-2013.

== Authors ==

Ricardo Fabbri, Ph.D. <[email protected]>
Lucia Pinto
Mauro Amorim
Francisco Duarte Moura Neto, Ph.D.

We are researchers from the Rio de Janeiro State University,
working at the Polytechnic Institute - IPRJ.

www.iprj.uerj.br
http://pt.wikipedia.org/wiki/IPRJ

== License ==

GPL v3. (see the file COPYING for a copy of the license)

If you need a different license, please contact us at <[email protected]>

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