Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Lecture
PCA and Kernel PCA
Description
This lecture covers Principal Component Analysis (PCA) and Kernel PCA, explaining how PCA is used to eliminate dimensions by finding the principal components with the most variation. It also delves into the comparison between PCA and Kernel PCA, showcasing how Kernel PCA projects data into a higher-dimensional space to make it linearly separable.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.