FAU Lecture Notes in Pattern Recognition, CODEX

Yet Another LDA: The Fisher Transform

LDA — Original Formulation

Andreas Maier
CodeX
Published in
8 min readMar 26, 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 back to Pattern Recognition. Today we want to look into the original formulation of the linear discriminant analysis that is also published under the name Fisher transform.

Image under CC BY 4.0 from the Pattern Recognition Lecture

Here we see the original idea that was used to derive the LDA mapping. The original idea is that you want to project onto the direction that is essentially maximizing the class information while minimizing the spread within the classes. This is then introduced as the direction r. Here we stay for the time being with…

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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