Note: Despite its name, LDA does not belong to the class of discriminative models in this taxonomy. However, its name makes sense when we compare LDA to the other main linear dimensionality reduction algorithm: principal components analysis (PCA). LDA is a supervised learning algorithm that utilizes the labels of the data, while PCA is an unsupervised learning algorithm that ignores the labels. To summarize, the name is a historical artifact.
Note Despite its name LDA does not belong to the class of discriminative models in this taxonomy However its name makes sense when we compare LDA to the other main linear dimensionality reduction algorithm principal components analysis (PCA) LDA is a supervised learning algorithm that utilizes the labels of the data while PCA is an unsupervised learning algorithm that ignores the labels To summarize the name is a historical artifact