Mathematics, Mathematics Education, Machine Learning, Data Science.
to choose the top K eigenvalues. Also, from the matrix W, we’ll choose the corresponding K eigenvectors and use them to transform the dataset finally. So, we’ll choose K eigenvectors where the dimension of each eigenvector is D, and pack them in a matrix W_K, transpose it and multiply it with each