4.0 | 3 ratings Rate this file 59 Downloads (last 30 days) File Size: 1.42 MB File ID: #38944

Ensemble Toolbox



This toolbox provides some combination methods to fuse an ensemble of classifiers

| Watch this File

File Information

Please cite at least one of the following papers if you like to use this toolbox:
+ M.A. Bagheri, Gh. Montazer, and E. Kabir, “A Subspace Approach to Error-Correcting Output Coding”,
Pattern Recognition Letters, vol. 34, pp. 176–184, 2013
+ M.A. Bagheri, Q. Gao and S. Escalera, “Rough Set Subspace Error Correcting Output Codes”,
in Proc. IEEE International Conf on Data Mining, Brussels, Belgium, 2012

For better understanding of the toolbox, reading the following references is strongly recommended
[1] R. Polikar, "Ensemble based systems in decision making," IEEE Circuits and Systems Magazine, vol. 6, pp. 21-45, 2006.
[2] L. I. Kuncheva, Combining Pattern Classifiers: Methods and Algorithms. New York, NY: Wiley, 2004.

%%%% How to use
%% You should run the Main_Ensemble.m file

%% Dataset
*** You can use any of the included datasets (taken from UCI ) or your own dataset;
*** To use your dataset, you should put the dataset in the Datasets folder
*** The data should be stored in one text file. You can save data in "Excel > Save as Text (Tab Delimited)"
*** The dataset should be in a Matrix format;
*** number of rows is equal to the number of samples
*** Number of columns is equal to the number of features + 1
*** The last column is the Target (Label) column of samples

Required Products Neural Network Toolbox
MATLAB release MATLAB 7.6 (R2008a)
Tags for This File   Please login to tag files.
Please login to add a comment or rating.
Comments and Ratings (8)
27 Mar 2014 DSP

Can I replace other neural network classifier (e.g RBFNN, PNN etc ) as base classifier instead of KNN and SVM? Thanks

19 Mar 2014 vaishali

Ensemble toolbox is very useful for my research.I want to use KNN classifier along with other classifiers.
Not finding any files related in KNN toolbox. Main ensemble is not running with KNN(2).
Can you guide me in this regard.

30 Sep 2013 Mohammad Ali Bagheri

Anita, could you please let me know what's the error?
Also, please note that some combination techniques are not inherently suitable for KNN (classifier type=2).
Finally, you may send me the file you are running or the whole package...

30 Sep 2013 Anita

this package is really outstanding... when i tried with ClassifierTypes = [2 2 2], it is showing some error in accuracy... please guide me to use this toolbox for my dataset.

27 Feb 2013 Mohammad Ali Bagheri

Hi. In this package, I did not include different features selection techniques. I will submit another package in the next month that includes about 4-5 feature selection methods. Meanwhile, some of them are already available in MatlabFileExchange (not by me! )

27 Feb 2013 alex hsu

It's outstanding work,but how can i use other feature selection methods??(only all&random)~thanks

27 Feb 2013 alex hsu  
27 Feb 2013 alex hsu  

Contact us