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Results tagged with manifold-learning
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user 109922
Manifold learning subsumes techniques conceived for problems where data of interest are assumed to lie on an embedded non-linear manifold within a higher-dimensional space.
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Manifold Hypothesis and PCA
Kernel PCA might be helpful. It performs linear PCA of the data projected in a reproducing kernel hilbert space where the data almost always lies on a linear manifold
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