LS-ILDA is an incremental version of the least-square linear discriminant analysis. When a new instance comes, instead of computing discriminant componenet from scratch, LS-ILDA updates the components obtained in the last step. It has two updating mode, corresponding to whether the dimension is larger than the number of instances.
L.-P. Liu, Y. Jiang, and Z.-H. Zhou. Least square incremental linear discriminant analysis. In: Proceedings of the 9th IEEE International Conference on Data Mining (ICDM'09), Miami, FL, 2009, pp.298-306.
This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua Zhou (email@example.com).
The package was developed with MATLAB v2008a.
This package was developed by Mr. Li-Ping Liu (firstname.lastname@example.org). For any problem concerning the code, please feel free to contact Mr. Liu. Download