Advertisement
Published in:
1986 | OriginalPaper | Chapter
Principal Components as a Small Number of Interpretable Variables: Some Examples
Author : I. T. Jolliffe
Published in: Principal Component Analysis
Publisher: Springer New York
Included in: Professional Book Archive
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
The original purpose of PCA was to reduce a large number (p) of variables to a much small number (m) of PCs whilst retaining as much as possible of the variation in the p original variables. The technique is especially useful if m « p,and if the m PCs can be readily interpreted.