Data Processing
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Lecture 14 - Feature Selection and Extraction
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Overview
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Principal Component Analysis
Arranges components by order of variance
First is most variant
Orthogonal
Perpendicular to each other
Variables are combined and extracted
A variable ends up in one principal component
Always reduces dimensionality
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Maintained by Dr Michael J. Watts (
mike.watts.net.nz
).