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28 December 1979 Linear Regression Formula For Dimensionality Reduction
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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.
© (1979) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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