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Principal Component Analysis
> Volume 2, Chapter 6 asked whether a matrix has a direction it only stretches, never rotates. PCA uses that idea to find the line with maximum sample variance — a precise geometric result, not a guarantee that the line preserves the signal a product cares about.
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