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Efficient Kernel Smoothing Regression using KD-Tree

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Kernel regression is a power full tool for smoothing, image and signal processing, etc. However, it is computationally expensive when it is extented for multivariant cases. The efficiency can be improved by only using neighbors within the effective range arond a regression point. To improve the efficiency further, the kd-tree tool developed by Steven Michael http://www.mathworks.com/matlabcentral/fil...objectType=file is used to efficiently identify points within a range. For large data sets, this code can reduce computation time by 3 to 5 times.

Free download from Shareware Connection - Kernel regression is a power full tool for smoothing, image and signal processing, etc

Publisher: Yi Cao | License: Shareware
Version: 1.0 | Size: 10 KB | Platform: Matlab, Scripts
Released Date: 26-03-2013 | Rating: 0 | Title: Efficient Kernel Smoothing Regression using KD-Tree

Author Url: http://www.mathworks.com
Program Info Url: http://www.mathworks.com
Download Url: http://www.mathworks.com/matlabcentral/fx_files/19308/1/kdtree_ksrmv.zip

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Efficient Kernel Smoothing Regression using KD-Tree keywords:
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