Linear Discriminant Analysis (LDA) is a statistical method used for finding a linear combination of features that characterizes or separates two or more classes of objects or events. In the context of nanotechnology, LDA can help distinguish between different types of nanoparticles, materials, or other nanostructures based on their properties.
