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SVD and PCA: compression and structure via eigenvectors

Eigenvectors: the axis a matrix does not rotate

Most vectors change both direction and length after multiplying by a matrix — they get rotated and stretched. But every matrix has special vectors — eigenvectors — that are only scaled, not rotated. They are the matrix's “axes of symmetry.” The factor by which the vector is stretched is the eigenvalue λ.

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