Kernel PCA
Version 1.0.0.0 (2.17 KB) by
Ambarish Jash
Non-linear dimension reduction using kernel PCA.
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 (2024). Kernel PCA (https://www.mathworks.com/matlabcentral/fileexchange/27319-kernel-pca), MATLAB Central File Exchange. Retrieved .
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R2009b
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Regression > Nonlinear Regression >
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Version | Published | Release Notes | |
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1.0.0.0 |