Principal Component Analysis: Revision history

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14 December 2023

  • curprev 21:2121:21, 14 December 2023‎ Ai talk contribs‎ 3,481 bytes +3,481‎ Created page with "== Introduction == Principal Component Analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. This transformation is defined in such a way that the first principal component has the largest possible variance, and each succeeding component in turn has the highest variance possible under the constra..."
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