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Jan 16, 2018 · Artificial Intelligence

Why PCA Can Be Seen as Linear Regression: The Minimum Square Error Perspective

This article revisits Principal Component Analysis by framing it as a minimum‑square‑error regression problem, showing how the optimal projection line aligns with linear regression, deriving the solution in both two‑dimensional and high‑dimensional spaces, and linking it to the classic maximum‑variance approach.