Finding the Eigenvectors of Normal Distribution (2D)

版本 1.0.0 (1.6 KB) 作者: 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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更新时间 2021/4/4

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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.

引用格式

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. 检索时间: .

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版本 已发布 发行说明
1.0.0