Eigenvectors, Eigenvalue, Data Science, Machine Learning, Matrix.
multiplication of the matrix, A by a vector, v computes a new vector which is called as the transformed vector. The transformed vector is just a scaled form of the vector, v i.e. scalar (λ) multiplied by vector, v. Thereby the vector, v is called as the Eigen vector of the original matrix, A and a