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Linear PCA maps higher dimensional data into lower dimensions with minimal loss, while probabilistic PCA used along with EM can even take care of missing data.

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Principal-Component-Analysis

Linear PCA maps higher dimensional data into lower dimensions with minimal loss, while probabilistic PCA used along with EM can even take care of missing data.

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Linear PCA maps higher dimensional data into lower dimensions with minimal loss, while probabilistic PCA used along with EM can even take care of missing data.

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