Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
factoring in the target class of a sample (therefore this is only useful if there are classes). In this way, it adds the constraints of a clustering problem: minimize within-group variance, maximize between-group variance. The goal of clustering is to maximize separation (source) The question is