+**Pca** (Principal Component Analysis) is a fundamental statistical technique for [Dimensionality Reduction](/wiki/Dimensionality_Reduction). It transforms complex data into a simplified set of [Principal Components](/wiki/Principal_Components), revealing underlying structure and variance. This method is widely used to simplify high-dimensional data without losing essential information.
+## See also
+- [Data Analysis](/wiki/Data_Analysis)
+- [Feature Extraction](/wiki/Feature_Extraction)
+- [Multivariate Analysis](/wiki/Multivariate_Analysis)
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