FAU Lecture Notes in Pattern Recognition, CODEX

Linear Discriminant Analysis is just three Lines of Pseudo-Code…

LDA in Rank-Reduced Form

Andreas Maier
CodeX
Published in
11 min readMar 23, 2021

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Image under CC BY 4.0 from the Pattern Recognition Lecture

These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog and only minor manual modifications were performed. If you spot mistakes, please let us know!

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Welcome everybody to Pattern Recognition! Today we want to look into the actual linear discriminant analysis and how to compute it in a rank-reduced form.

Image under CC BY 4.0 from the Pattern Recognition Lecture

Today we go into discriminant analysis. And what we talk about today is the so-called rank reduced linear discriminant analysis. We’ve seen already that our problem was how to choose an L-dimensional subspace with L=K-1, where K is the number of classes. This is supposed to be a subspace that is good…

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Andreas Maier
CodeX
Writer for

I do research in Machine Learning. My positions include being Prof @FAU_Germany, President @DataDonors, and Board Member for Science & Technology @TimeMachineEU