The Ensemble for Case-Based Reasoning Classifiers (E4CBR)
Written by Niloofar Arshadi

Summary: The Matlab code for enhancing the prediction accuracy of CBR classifiers by integrating them with feature selection and clustering techniques. The current implementation uses the TA3 CBR classifier developed in the Jurisica Lab combined with the spectral clustering (Ng, 2002) and the logistic regression model.

Conditions of Use: The code is available free for educational and non-commerical use. All use of this software is at the user's own risk.
Please email myfirstname [at] cs [dot]toronto [dot] edu for the code.

For instructions on how to use this code, please read here