File Exchange

image thumbnail

Decision Tree and Decision Forest

version 1.5 (5.57 MB) by

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

4.66667
3 Ratings

39 Downloads

Updated

View License

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.

Comments and Ratings (3)

Eugene

Eugene (view profile)

Yan Ou

Yan Ou (view profile)

Siqi

Siqi (view profile)

Updates

1.5

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

1.4

Added decision forest functionalities.

1.3

Better encapsulation of the HashTable class.

1.2

Optimized the memory use of getEntropyDecrease() function.

1.1

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

MATLAB Release
MATLAB 8.0 (R2012b)

Download apps, toolboxes, and other File Exchange content using Add-On Explorer in MATLAB.

» Watch video

Win prizes and improve your MATLAB skills

Play today