Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning

Wismueller, Axel;Verleysen, Michel;Aupetit, Michael;Lee, John
(2010) 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010) — Location: Bruges (Belgium) (28.April.2010)

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The ever-growing amount of data stored in digital databases raises the question of how to organize and extract useful knowledge. This paper outlines some current developments in the domains of dimensionality reduction, manifold learning, and topological learning. Several aspects are dealt with, ranging from novel algorithmic approaches to their real world applications. The issue of quality assessment is also considered and progress in quantitive as well as visual criteria is reported.
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Wismueller, A., Verleysen, M., Aupetit, M., & Lee, J. (2010). Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010), p. 71-80. https://hdl.handle.net/2078.5/254098