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diffusion maps machine learning algorithm, variants, implementations, and experiments
License: Other
This project forked from rfabbri/diffi
diffusion maps machine learning algorithm, variants, implementations, and experiments
License: Other
= 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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