Why is covariance matrix important in linear algebra?

Updated May 16, 2026

Short answer

It captures how features vary together in multivariate data.

Deep explanation

Covariance matrix represents pairwise relationships between variables. Its eigenvectors reveal directions of maximum variance, forming the basis of PCA.

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