Inside AI

Linear Discriminant Analysis, Explained

Intuitions, illustrations, and maths: How it’s more than a dimension reduction tool and why it’s robust for real-world applications.

Published in

Towards Data Science

12 min readMay 9, 2020

--

Boundaries (blue lines) learned by mixture discriminant analysis (MDA) successfully separate three mingled classes. MDA is one of the powerful extensions of LDA.

Key takeaways

Linear discriminant analysis is not just a dimension reduction tool, but also a robust…

YANG Xiaozhou

Written by YANG Xiaozhou

Writer for

Towards Data Science

Run, cycle, dive, and blog at http://yangxiaozhou.github.io/. But mostly working on my research in data-driven critical infrastructure system resilience.

Help
Status
About
Careers
Press
Blog
Privacy
Terms
Text to speech
Teams