User talk:Joyce Whang

From Computational Statistics (CSE383M and CS395T)
Revision as of 03:26, 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.

[Slide 1] Motivation - Given high dimensional data, we want to "summarize" the data by

[Slide 2]