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Decision Tree and Decision Forest

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4.7 | 3 ratings Rate this file 83 Downloads (last 30 days) File Size: 5.57 MB File ID: #39110 Version: 1.5
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Decision Tree and Decision Forest

by

Quan Wang (view profile)

 

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

Eugene (view profile)

 
03 Mar 2014 Yan Ou

Yan Ou (view profile)

 
03 Mar 2014 Siqi

Siqi (view profile)

 
Updates
28 Feb 2014 1.1

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

02 Mar 2014 1.2

Optimized the memory use of getEntropyDecrease() function.

03 Mar 2014 1.3

Better encapsulation of the HashTable class.

03 Mar 2014 1.4

Added decision forest functionalities.

10 Mar 2014 1.5

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

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