User talk:Joyce Whang
Revision as of 03:34, 9 April 2012 by Joyce Whang (talk | contribs)
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. -
