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Advances in Artificial Neural Systems
Volume 2012 (2012), Article ID 219860, 2 pages
http://dx.doi.org/10.1155/2012/219860
Editorial

Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine

1Department of Scientific Computing, Florida State University, Tallahassee, FL 32306-4120, USA
2Laboratoire des Systemes Solaires (L2S), Institut National de l'Energie Solaire (CEA/INES), BP 332, 73377 Le Bourget du Lac, France
3Department of Signal Theory, Telematics and Communications, Facultad de Ciencias, Universidad de Granada Fuentenueva, s/n, 18071 Granada, Spain
4Laboratoire de Physiologie Cellulaire Végétale, UMR 5168 CEA-CNRS-INRA-Université Joseph Fourier, CEA Grenoble, 38054 Grenoble Cedex 09, France

Received 29 August 2012; Accepted 29 August 2012

Copyright © 2012 Anke Meyer-Baese et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Anke Meyer-Baese, Sylvain Lespinats, Juan Manuel Gorriz Saez, and Olivier Bastien, “Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine,” Advances in Artificial Neural Systems, vol. 2012, Article ID 219860, 2 pages, 2012. doi:10.1155/2012/219860