Machine Learning, Data Science, R Programming, Neural Networks, Towards Data Science.
simple, the eigenvectors represents the new set of axes of the principal component space and the eigenvalues carry the information of quantity of variance that each eigenvector have. So, in order to reduce the dimension of the dataset we are going to choose those eigenvectors that have more