Finding the Eigenvectors of Normal Distribution (2D)

バージョン 1.0.0 (1.61 KB) 作成者: Kin Sung Chan
This program is for educational purpose. It helps to understand how SVD can help in decomposing 2 dimensional data into eigenvectors.
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更新 2021/4/4

ライセンスの表示

2D data with normal distribution is generated.

The data are shifted and rotated.

SVD are then used to calculate the eigenvectors and eigenvalues.

The physical meaning of the eigenvectors and eigenvalues can be illustrated through its plot.

引用

Kin Sung Chan (2024). Finding the Eigenvectors of Normal Distribution (2D) (https://www.mathworks.com/matlabcentral/fileexchange/89767-finding-the-eigenvectors-of-normal-distribution-2d), MATLAB Central File Exchange. に取得済み.

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作成: R2021a
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1.0.0