Kernel Learning Toolbox

Version 1.0 (12 KB) by Mo Chen
Machine Learning with kernels


Updated Tue, 08 Mar 2016 03:00:43 +0000

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This package provides functions that manipulate data in kernel space, such as centerization in kernel space, computing distance from kernel, etc.
Many kernel algorithms for machine learning are provided including kernel PCA, kernel regression, kernel kmeans, etc. Also the corresponding linear version of these algorithms are also provided to show that kernel methods with linear kernel is equivalent to linear version methods. Please try the demo script in the package.

This package is now a part of the PRML toolbox (

Cite As

Mo Chen (2023). Kernel Learning Toolbox (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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