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Give an algorithm of a principle component analysis

Answer»

Machine Learning (ML) Principal COMPONENT analysis (PCA) is a technique to bring out strong patterns in a dataset by supressing variations. ... The algorithm of Principal Component Analysis is based on a few mathematical ideas namely: VARIANCE and Convariance. Eigen VECTORS and Eigen valuesExplanation:mark it as the brainliest



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