%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % 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