Principal Component, Data Science, Dimensionality Reduction, Machine Learning.
come before the lower ones. We are going to select the k eigenvectors corresponding to the k highest eigenvalues. Dimensionality reduction To reduce dimensionality, the idea is to keep the k eigenvectors with more information about our data. If we want to keep certain percentage of the total