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Multivariant Kernel Regression and Smoothing

3.7 | 3 ratings Rate this file 11 Downloads (last 30 days) File Size: 118 KB File ID: #19279 Version: 1.0
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Multivariant Kernel Regression and Smoothing


Yi Cao (view profile)


20 Mar 2008 (Updated )

A multivariant Gaussian kernel regression and smoothing tool.

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This function implements multivariant Gaussian kernel regression and smoothing. A few examples show how it can be used to smooth 3-d noisy images with missing data.

For tutorial purpose, the function is implemented in the simplest form. Therefore, it is particularly suitable for beginners to learn kernel regression.

The efficiency is improved in the updated version by searching neighbours in the effective range.


Kernel Smoothing Regression inspired this file.

This file inspired Efficient Kernel Smoothing Regression Using Kd Tree.

MATLAB release MATLAB 7.5 (R2007b)
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Comments and Ratings (3)
03 Mar 2011 Masoud

Masoud (view profile)

as by default z=x. When mean(x)=0, the r.f will be NAN!

15 Jul 2010 Turkay YILDIZ

05 Apr 2009 V. Poor

24 Mar 2008

update code with vectorization

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