Finding the Eigenvectors of Normal Distribution (2D)

Versión 1.0.0 (1,61 KB) por 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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Actualizado 4 abr 2021

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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.

Citar como

Kin Sung Chan (2025). Finding the Eigenvectors of Normal Distribution (2D) (https://la.mathworks.com/matlabcentral/fileexchange/89767-finding-the-eigenvectors-of-normal-distribution-2d), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2021a
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Versión Publicado Notas de la versión
1.0.0