Version (3.09 KB) by Mo Chen
Adaboost for classification


Updated Wed, 09 Mar 2016 02:50:53 +0000

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This is a Matlab implementation of Adaboost for binary classification. The weak learner is kmeans. The reason why this weaker learner is used is that this is the one of simplest learner that works for both discrete and continues data. I make the code very succinct so that it is easy to read and learn how Adaboost works.
This package is now a part of the PRML toolbox (

Cite As

Mo Chen (2023). Adaboost (, MATLAB Central File Exchange. Retrieved .

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

Inspired by: Pattern Recognition and Machine Learning Toolbox

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