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Principal Components Analysis

November 24th, 2009 Leave a comment Go to comments

From Wikipedia, Principal Components Analysis:

PCA is theoretically the optimal linear scheme, in terms of least mean square error, for compressing a set of high dimensional vectors into a set of lower dimensional vectors and then reconstructing the original set. It is a non-parametric analysis and the answer is unique and independent of any hypothesis about data probability distribution.

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