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Posted on 2018-09-21 | In machine learning

SVD

$X_{k \times } = U S V^T$

  • $X = [x_1, x_2, …, x_m] \in R^{N \times m}$
  • U is a m x m matrix, where $U^TU = I$
  • V is a n x n matrix, where $V^TV = I$
  • S is a m x n matrix, where.

Example

SVD fit 3D point

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Chu Lin

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166 posts
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  1. 1. SVD
  2. 2. Example
  3. 3. SVD fit 3D point
  4. 4. PCA
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