- LDA helps in identifying and finding patterns to reduce the dimensions of the dataset such that the separation between the various classes in maximum.
- More theory can be studied from LDA
- Ways to compute eigen values, eigen vectors - Eigen Value Decomposition
- LDA is very similar to PCA, but if you need to reduce the dimensions and also keep good separation between the classes then LDA would be good.
- Draw back of LDA is that it works only for supervised classification tasks only.