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Decision Tree and Decision Forest

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Decision Tree and Decision Forest

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20 Nov 2012 (Updated )

This software implements decision tree/forest classifier in C++/MEX.

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Description

This package implements the decision tree and decision forest techniques in C++, and can be compiled with MEX and called by MATLAB. The algorithm is highly efficient, and has been used in these papers:

[1] Quan Wang, Yan Ou, A. Agung Julius, Kim L. Boyer and Min Jun Kim, "Tracking Tetrahymena Pyriformis Cells using Decision Trees", 2012 21st International Conference on Pattern Recognition (ICPR), Pages 1843-1847, 11-15 Nov. 2012.

[2] Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, and Shaohua Kevin Zhou, "Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images", MICCAI 2013: Workshop on Medical Computer Vision.

Required Products MATLAB Compiler
MATLAB
MATLAB release MATLAB 8.0 (R2012b)
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Comments and Ratings (3)
12 Mar 2014 Eugene  
03 Mar 2014 Yan Ou  
03 Mar 2014 Siqi  
Updates
28 Feb 2014

Rewrite the code in C++/MEX. Generate to multi-class.

02 Mar 2014

Optimized the memory use of getEntropyDecrease() function.

03 Mar 2014

Better encapsulation of the HashTable class.

03 Mar 2014

Added decision forest functionalities.

10 Mar 2014

Changed the positions of several delete[] commands to optimize memory use.

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