MATLAB Code Resources

One advantage of MATLAB over commercial data mining tools is its flexibility. Given an investment in programming, MATLAB can be extended to solve subtle problems that canned commercial software simply cannot. Many people have tackled machine learning and data mining problems using MATLAB. The source code constructed to solve many of these projects is available on-line. Review of other analysts' source code can provide important insights.

Consider the following examples:

Gender Recognition Project (Diaco, DiCarlo and Santos)

Neural Network coursework code (Patterson)

MATLABArsenal (Yan)

Bayes Net Toolbox for Matlab (Murphy)

MATLAB MLP Backprop Code (Brierley)

SVM and Kernel Methods Matlab Toolbox (Canu, Grandvalet, Guigue and Rakotomamonjy)

Peter's Code and Dataset page (Gehler)

Computational Learning - Project #2 (Linhart)

Block-segmentation and Classification of Grayscale Postal Images (Varshney)

Road Sign Recognition Project Based on SVM Classification (Dayan and Hait)

Mouse Gesture Recognition Project (Barnes)

A Global Geometric Framework for Nonlinear
Dimensionality Reduction (Tenenbaum, de Silva and Langford)

Quantum Clustering (Horn, Gottlieb and Axel)

Resources for K-Mean Clustering (Teknomo)