## What is Principal Component Analysis (PCA), and how does it differ from clustering?

Principal Component Analysis (PCA) is a dimension reduction technique.

Machine Learning Interview Questions

Principal Component Analysis (PCA) is a dimension reduction technique.

Discriminant analysis is a dimension reduction approach similar to principal components analysis but applied in a classification context.