Tuesday, November 24, 2009

 

Principal Components Analysis

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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