give an algorithm of a principle component analysis
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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 values
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