Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
note what “eigendecomposition” means. Decomposing a matrix means breaking it apart into pieces (matrices, vectors, scalars) that describe important aspects of it and allow recreating that matrix with these parts. Eigendecomposition means decomposing a matrix into its eigenvectors and eigenvalues: