Variable Selection in Multivariate Data Analysis - Part 1

Learn about the importance of variable selection in multivariate data analysis through this 29-minute video lecture from the Quality and Technology group at the University of Copenhagen. Explore common methods including a-priori, a-posteriori, and model-based approaches to variable selection. Gain valuable insights into this crucial aspect of chemometrics and machine learning as part of the "Lessons in Chemometrics" series.