Passage: Linear discriminant analysis (LDA), normal discriminant analysis (NDA), or discriminant function analysis is a generalization of Fisher's linear discriminant, a method used in statistics, pattern recognition and machine learning to find a linear combination of features that characterizes or separates two or more classes of objects or events. mchanganyiko yanayotokana inaweza kutumika kama linear classifier, au, kwa kawaida, kwa ajili ya kupunguza dimensionality kabla ya baadaye uainishaji. Swali: LDA inasimama kwa nini?
Uchambuzi wa linear discriminant