Data Dreamland, Subash Palvel, Data Science, Dimensionality Reduction, Machine Learning.
class. By projecting the data onto this discriminant subspace, LDA reduces the dimensionality while preserving the class-specific information. LDA is particularly useful for tasks such as face recognition and document classification. Autoencoders Autoencoders are neural network models that can be