Exploring the correlation structure
Why is it interesting to look at the correlation structure of the data before doing PCA?
Answer the question
To identify redundant variables that can be dropped beforehand
To drop variables that are completely uncorrelated with the others
To check for possible multicollinearity problems
Because components are determined based on the correlations
Take Hint (-15xp)