Principal Component, Dimensionality Reduction, Interview, Interview Questions, Interview Preparation.
What is the purpose of eigenvalues in PCA? (A) They represent the variance explained by each principal component. (B) They determine the number of principal components to retain. (C) They are used for data visualization. (D) They measure the similarity between data points. What is the typical range