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Why to use PCA?

PCA is used to reduce dimensions of the data so that it become easy to perceive data. PCA helps a lot in processing and saves user from lot of complexity. Whereas LDA allows sets of observations to be explained by unobserved groups that explain why some parts of the data are similar.

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