This is a a continuation of the discussion from Unsupervised Clustering of Images.
Image that we have MNIST database and we want to separate all the images like this. But we want to use Linear Discriminant Analysis (LDA) instead to see how the results differ.
Will LDA perform better than t-SNE/UMAP if we know the classes of the data? Let's say that the X and Y axis of the plot is covaraiance.