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Proceedings Paper

Linear Regression Formula For Dimensionality Reduction
Author(s): D. F. Mix; R. A. Jones; F. Rahbar
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Paper Abstract

Linear regression is a powerful procedure with wide areas of application. We show in this paper that a very fruitful area of application is in the area of dimensionality reduction in pattern recognition. The dimensionality reduction is accomplished by preselecting cluster centers in the range and using regression techniques to derive the transformation. Experimental results are presented that compare this procedure to the Karhunen-Loeve procedure for several data sets.

Paper Details

Date Published: 28 December 1979
PDF: 8 pages
Proc. SPIE 0207, Applications of Digital Image Processing III, (28 December 1979); doi: 10.1117/12.958224
Show Author Affiliations
D. F. Mix, University of Arkansas (United States)
R. A. Jones, University of Arkansas (United States)
F. Rahbar, University of Arkansas (United States)

Published in SPIE Proceedings Vol. 0207:
Applications of Digital Image Processing III
Andrew G. Tescher, Editor(s)

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