Open-source implementation of simplified PLDA (Probabilistic Linear Discriminant Analysis)
PLDA is a probabilistic version of Linear Discriminant Analysis (LDA). This technique projects the input data into a much lower dimensional space with minimal loss of discriminative ability, as the ratio of between-classe and within-class variations is maximized.
- 14/11/2014: First version
Get and Compile (you need boost):
git clone https://github.com/mrouvier/plda
cd plda
make
./bin/plda data/train.txt data/labels data/test.txt