Kernel PCA

Non-linear dimension reduction using kernel PCA.
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Updated 20 Apr 2010

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This technique takes advantage of the kernel trick that can be used in PCA. This is a tutorial only and is slow for large data sets.
In line 30 the kernel can be changed. Any Kernel should do it.
Ref : http://www.eecs.berkeley.edu/~wainwrig/stat241b/scholkopf_kernel.pdf

Cite As

Ambarish Jash (2026). Kernel PCA (https://www.mathworks.com/matlabcentral/fileexchange/27319-kernel-pca), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2009b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Version Published Release Notes
1.0.0.0