Talk:Manifold learning

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I recommend this redirect to Nonlinear_dimensionality_reduction. Jacobsn 04:12, 8 February 2007 (UTC)

old content Jacobsn 16:55, 8 February 2007 (UTC)

Manifold learning is a technique used to reduce dimensionality of data. It differs from other dimension reduction techniques, such as principal component analysis (PCA), in that it can support highly nonlinear subspaces.

[edit] External links

• Introduction - http://www.nlpr.ia.ac.cn/users/szli/papers/ZHP-MLA-Chapter.pdf
• http://www.cse.msu.edu/~lawhiu/manifold/
• http://www.iipl.fudan.edu.cn/~zhangjp/literatures/MLF/INDEX.HTM