Linear Regression Formula For Dimensionality Reduction

D. F. Mix; R. A. Jones; F. Rahbar

doi:10.1117/12.958224

28 December 1979 Linear Regression Formula For Dimensionality Reduction

D. F. Mix, R. A. Jones, F. Rahbar

Proceedings Volume 0207, Applications of Digital Image Processing III; (1979) https://doi.org/10.1117/12.958224
Event: 23rd Annual Technical Symposium, 1979, San Diego, United States

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.

Citation Download Citation

D. F. Mix, R. A. Jones, and F. Rahbar "Linear Regression Formula For Dimensionality Reduction", Proc. SPIE 0207, Applications of Digital Image Processing III, (28 December 1979); https://doi.org/10.1117/12.958224

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