Lecture

Canonical Correlation Analysis: Exercises Solutions

Description

This lecture covers the solutions to exercises on Canonical Correlation Analysis (CCA), focusing on finding pairs of projection vectors with maximum correlation. It includes manual determination of directions found by CCA, contrasting with PCA, and analyzing Gram matrices for collinear eigenvectors. The lecture also explores the effect of changing kernel width in CCA and discusses the distribution of points in kernel matrices generated by polynomial kernels. Additionally, it delves into the properties of vectors generated by homogeneous polynomial kernels, emphasizing the orthogonality of vectors in 2D space.

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace
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.