Principal Component Analysis1

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  PCA (Principal Component Analysis) Information PCA (Principal Component Analysis) is a statistical technique used to reduce the dimensionality of large datasets, while retaining as much of the variance or information as possible. PCA works by transforming the original variables into a new set of orthogonal variables, called principal components, that explain the maximum variance of the data, with the first component explaining th.. Zettelkasten/Terminology Information 2023. 3. 2.