Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
We can then remove some of the least important eigenpairs (indicated by smaller eigenvalues) and achieve a compressed version of that matrix that still looks very similar. However, generally we can’t use simple eigendecomposition because real world data matrices are not nice. So let’s think of how