👉 A strong point, also known as a principal component (PC), is an eigenvalue of a matrix that represents the most important or informative eigenvectors. These components are often referred to as "strong points" because they provide the most information about the underlying structure of a dataset. The strength of a PC can be determined by its absolute value, which measures how much the component's magnitude changes when the component is scaled down or increased in size.
