Canonical Correlation Analysis: Overview

In course

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Description

This lecture introduces Canonical Correlation Analysis (CCA), a method to find linear combinations of variables from two sets to maximize correlation. CCA reveals relationships between two sets of variables, extending multiple regression. The lecture covers mathematical development, properties, and applications of CCA in multivariate statistics.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_vbppabo5

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Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Analysis: Calculus

Mathematical logic: Set theory

Statistics

Statistical inference: Mathematical statistics

Data analysis: Regression analysis

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