Gaussian Kernel Regression for Multidimensional Feature with Matlab code (Gaussian Kernel or RBF Smoother)
I am sharing a Matlab code for Gaussian Kernel Regression algorithm for multidimensional input (feature).
In the previous post (link), I posted a theory of Gaussian Kernel Regression, and shared a Matlab code for one dimensional input. If you want to know about the theory, read the previous post. In the previous post, many visitors asked me for a multidimensional input version. Finally I made a Gaussian Kernel Regression Program for a general dimensional input
You can download the program from this link.
I wrote a demo program to show how to use the code as easy as possible.
The below is the demo program, and a demo result plot. In this demo program, the dimension of input is 2 because of visualization, but it is expendable to an arbitrary dimension.
For the optimization of kernel bandwidth, see my other article <Link>.
I wish this program can save your time and effort for your work.
If you have any question, please leave a reply.
I am Youngmok Yun, and writing about robotics theories and my research.