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Denoising Manifolds for Dimension

Jammalamadaka, Arvind K. — 2009

Serdica Mathematical Journal

2000 Mathematics Subject Classification: 68T01, 62H30, 32C09. Locally Linear Embedding (LLE) has gained prominence as a tool in unsupervised non-linear dimensional reduction. While the algorithm aims to preserve certain proximity relations between the observed points, this may not always be desirable if the shape in higher dimensions that we are trying to capture is observed with noise. This note suggests that a desirable first step is to remove or at least reduce the noise in the observations...

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