文件名称:pca using svd
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Principal components analysis is one of a family of
techniques for taking high-dimensional data, and using the
dependencies between the variables to represent it in a more
tractable, lower-dimensional form, without losing too much
information. PCA is one of the simplest
techniques for taking high-dimensional data, and using the
dependencies between the variables to represent it in a more
tractable, lower-dimensional form, without losing too much
information. PCA is one of the simplest
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pca using svd.pdf