Lda, Machine Learning, Dimensionality Reduction, Linear Discriminant.
generalized eigenvalue problem formed using the scatter matrices. 4. Sort Eigenvalues: Sort the eigenvalues in descending order and select the top k eigenvectors corresponding to the k largest eigenvalues to form a transformation matrix. 5. Project Data: Project your data onto the new k-dimensional