explain PCA and write down assistants during perform by PCA
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Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. ... PCA is sensitive to the relative scaling of the original variables
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