User talk:Joyce Whang

From Computational Statistics (CSE383M and CS395T)
Revision as of 03:35, 9 April 2012 by Joyce Whang (talk | contribs)
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In this term project, I will make a lecture about Principal Component Analysis (PCA). PCA is one of the most widely used techniques for linear dimensionality reduction.

Motivation
- PCA is introduced to deal with the problem of excessive dimensionality.
- We can reduce a complex data set to a lower dimension by PCA.
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