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What PCA is actually doing to your data

This story is from 2026-09-01. It is preserved in the archive; the latest stories are on the live feed.

Most explanations of PCA stop at "it reduces dimensions." That is true, and it is roughly as useful as saying a regression "fits a line." It tells you what happens without telling you what the method is doing or when it will fail you. Here is the whole idea in one sentence: PCA finds the directions…

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  1. 2026-09-01 03:31 · DEV Community — Machine Learning
    What PCA is actually doing to your data

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