Talk:Manifold learning

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.