Principal Component Analysis

Principal Component Analysis (PCA) is a powerful technique in the field of pattern recognition and image processing, widely used for dimensionality reduction and feature extraction. It aims to transform a high-dimensional dataset into a new coordinate system where the ______ ______ ___ _______ ________ _____ ___ _________ _______ ______.
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