PCA

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(Example and Mathematical Background)
(Example and Mathematical Background)
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can represent the data.  Concretely, let <math>\textstyle x \in \Re^2</math> be some training example.  Then <math>\textstyle u_1^Tx</math>
can represent the data.  Concretely, let <math>\textstyle x \in \Re^2</math> be some training example.  Then <math>\textstyle u_1^Tx</math>
is the length (magnitude) of the projection of <math>\textstyle x</math> onto the vector <math>\textstyle u_1</math>.   
is the length (magnitude) of the projection of <math>\textstyle x</math> onto the vector <math>\textstyle u_1</math>.   
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%In otherwise,
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%<math>\textstyle u_1^Tx</math> is the amount that <math>\textstyle x</math> differs from the origin <math>\textstyle [0, 0]^T</math> in the <math>\textstyle u_1</math>
+
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%direction. 
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Similarly, <math>\textstyle u_2^Tx</math> is the magnitude of <math>\textstyle x</math> projected onto the vector <math>\textstyle u_2</math>.
Similarly, <math>\textstyle u_2^Tx</math> is the magnitude of <math>\textstyle x</math> projected onto the vector <math>\textstyle u_2</math>.

Revision as of 05:23, 2 April 2011

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