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                        Ensemble for Case-Based Reasoning (E4CBR)
Author:                            Niloofar Arshadi
Last update:                         June 15, 2007
 
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The Ensemble for Case-Based Reasoning Classifiers (E4CBR)
Niloofar Arshadi, Ph.D. Thesis, Department of Computer Science, 
University of Toronto, 2007. 
 
 
 
Disclaimer
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This code is provided as a demonstration for my research. It comes with
no warranty of any kind. Use it at your own risk. 
 

 
Platform
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This code has been tested under Linux 2.4 using Mathlab 7.1.0.183 (R14)
Service Pack 3. It should work on any operating system but may not work 
on significantly older versions of Matlab.  
 

Comments, questions, and problem reports
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They are all very welcome. Please send them to me at
xxx@cs.toronto.edu (Replace xxx with niloofar).
 

Usage
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In order to use this code, you need to tar-extract E4CBR.tar. A directory called 
E4CBR will be created under your current directory that includes all the files 
you need. Please add the path of the directory to your Matlab path.
 

Miscellaneous Notes
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* The k-means clustering method that is used in this code was downloaded from 
the SOM Toolbox web page, http://www.cis.hut.fi/projects/somtoolbox/. 
SOM Toolbox is a function package for Matlab 5 implementing the 
Self-Organizing Map (SOM) algorithm.

* Sample data sets could be downloaded from 
http://home.ccr.cancer.gov/ncifdaproteomics/ppatterns.asp.