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Principal component analysis - Wikipedia, the free encyclopedia
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日期：2024-04-29
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. The...看更多
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