Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
describes the relationships of the features while also taking into account the samples’ labels, we can just apply eigendecomposition, same as PCA. The eigenvectors will give us new orthogonal features to describe the true underlying structure of the data. Eigencentrality The next three algorithms