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README
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program. If not, see http://www.gnu.org/licenses/.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Outlier Detection Toolbox in MATLAB
Goker Erdogan,
Bogazici University
gokererdogan@gmail.com
This toolbox contains implementations of outlier detection methods;
- Active Outlier
- Local Outlier Factor
- Feature Bagging
- Parzen Windows
It also contains implementations of the following spectral methods;
- Laplacian Eigenmaps
- Multidimensional scaling
- Kernel Principal Components Analysis
Dependencies: MATLAB Statistics toolbox (used for decision tree)
Contains croc and auroc functions implemented by Dr Gavin C. Cawley taken from http://theoval.cmp.uea.ac.uk/matlab/#roc
Run demo/demo or demo/od for demonstration
See demo/od_script.m for a sample script