Fisher Discriminant Analysis (FDA) and Linear Discriminant Analysis (LDA)

Instructor of course: Prof. Mark Crowley
Teaching assistant and presenter of slides: Benyamin Ghojogh
Data and Knowledge Modeling and Analysis (ECE 657A) course
ECE Department, University of Waterloo, ON, Canada

This lecture includes:
1- Inter- and intra-class scatters
2- Fisher Discriminant Analysis (FDA)
3- Optimization for boundary of classes
4- Linear Discriminant Analysis (LDA)
5- Relation of FDA and LDA
6- Fisherposes and LDA examples

Useful related resources:

1- Tutorial paper: Benyamin Ghojogh, Mark Crowley. "Linear and quadratic discriminant analysis: Tutorial." arXiv preprint arXiv:1906.02590 (2019).
Link to paper: https://arxiv.org/abs/1906.02590

2- Tutorial paper: Benyamin Ghojogh, Fakhri Karray, Mark Crowley. "Fisher and kernel Fisher discriminant analysis: Tutorial." arXiv preprint arXiv:1906.09436 (2019).
Link to paper: https://arxiv.org/abs/1906.09436

3- Tutorial paper: Benyamin Ghojogh, Fakhri Karray, Mark Crowley. "Eigenvalue and generalized eigenvalue problems: Tutorial." arXiv preprint arXiv:1903.11240 (2019).
Link to paper: https://arxiv.org/abs/1903.11240

4- Tutorial YouTube videos by Prof. Ali Ghodsi at University of Waterloo:
Link 1:    • Ali Ghodsi, Lec 1: Intro, LDA, PCA  
Link 2:    • Ali Ghodsi Lec 3 FDA