Please download the sample Excel files from https://github.com/hhohho/Learn-Data-Mining-through-Excel for this chapter’s exercises.
General Understanding
Linear discriminant analysis (LDA) is similar to linear regression and K-means clustering, but different from both, too. K-means clustering is an unsupervised classification method, while LDA is supervised since its classification is trained on known data, however. The predictive results are quantitatively numerical in linear regression, while they are qualitatively categorical in LDA.