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Using Weka in Matlab

version 1.5 (5.43 MB) by Sunghoon Lee
An efficient interface to use Weka in MATLAB

5K Downloads

Updated 22 Jul 2015

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Weka is an open-source platform providing various machine learning algorithms for data mining tasks. Although Weka provides fantastic graphical user interfaces (GUI), sometimes I wished I had more flexibility in programming Weka. For instance, I often needed to perform the analysis based on leave-one-out-subject cross-validation, but it was quite difficult to do this on Weka GUI. I do most of my analyses on MATLAB, so I was searching for an interface between MATLAB and Weka. Fortunately, Weka was implemented in Java, and MATLAB had a wrapper that allows communicating with Java.
Here I introduce an efficient MATLAB to Weka interface, which was implemented based on the initial work of Matt Dunham.
This work is still in-progress and I have only included codes that I mainly use for my work. If you would like to collaborate to improve the code or if you find any bugs, please don't hesitate to reach me at "silee {at} partners {dot} org".
Also, please visit http://www.sunghoonivanlee.com/matlab2weka.html

Cite As

Sunghoon Lee (2021). Using Weka in Matlab (https://www.mathworks.com/matlabcentral/fileexchange/50120-using-weka-in-matlab), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: Matlab Weka Interface

Inspired: Truss displacement based on FEM

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