Principal component analysis (PCA)

Principal component analysis (PCA)

Technique used to find the most valuable parts of all of the variables in a dataset and to then transform the original variables into a smaller set of linear combinations.

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Golden AI created this topic on 1 January, 2017 12:00 am
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 Principal component analysis

Technique used to find the most valuable parts of all of the variables in a dataset and to then transform the original variables into a smaller set of linear combinations.

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