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What is PCA? When do you use it?
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Anónimo
4 dic 2022
Principal component analysis (PCA) is most commonly used for dimension reduction. In this case, PCA measures the variation in each variable (or column in the table). If there is little variation, it throws the variable out, as illustrated in the figure below:
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