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ICPR
2006
IEEE
14 years 10 months ago
Exploiting the Geometry of Gene Expression Patterns for Unsupervised Learning
Typical gene expression clustering algorithms are restricted to a specific underlying pattern model while overlooking the possibility that other information carrying patterns may ...
Rave Harpaz, Robert M. Haralick
AE
2007
Springer
14 years 3 months ago
Unsupervised Learning of Echo State Networks: A Case Study in Artificial Embryogeny
Alexandre Devert, Nicolas Bredeche, Marc Schoenaue...
ICANN
2007
Springer
14 years 3 months ago
Boosting Unsupervised Competitive Learning Ensembles
Topology preserving mappings are great tools for data visualization and inspection in large datasets. This research presents a combination of several topology preserving mapping mo...
Emilio Corchado, Bruno Baruque, Hujun Yin