Basic intuition of LDA

Whenever we come across Machine learning models involving classification of image data or have to deal with vectors of a complex dimensionality, computation becomes a barrier in getting timely results. It is therefore intuitive to use algorithms that reduce computation complexity involving vectors and help in getting timely and better results. And we will talk about one such technique of classification that uses dimensionality reduction - Linear Discriminant Analysis or LDA. Suppose we are working on a dataset containing images. Our aim is to train a model that classifies the images into two or more categories.