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ICPR
2006
IEEE
16 years 5 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
15 years 10 months ago
Unsupervised Learning of Echo State Networks: A Case Study in Artificial Embryogeny
Alexandre Devert, Nicolas Bredeche, Marc Schoenaue...
ICANN
2007
Springer
15 years 10 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