What is eigen decomposition used for in machine learning?

Updated May 16, 2026

Short answer

It is used to analyze variance structure and reduce dimensionality.

Deep explanation

Eigen decomposition identifies principal directions in data. In ML, it is used in PCA to reduce dimensions by selecting eigenvectors with highest eigenvalues.

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