The article discusses different methods used for classification in statistics, such as CDA, LDA, RDA, SIMCA, PCA, and PLS. It explains when CDA and LDA are similar and when they are different. The researchers also talk about the benefits of using methods like RDA for numerical stabilization and PCA and PLS for dimension reduction in classification tasks.