Q15: Compute the Linear Discriminant projection for the following two-dimensional dataset: X1 =(x1, x2) = (4, 2), (2, 2), (3, 2), (3, 5), (3, 4) X2 = (x1, x2) = (8, 7), (9, 6), (7, 7), (9, 8), (10, 9)
Introduction Linear Discriminant Analysis (LDA) is a supervised learning algorithm used for classification and dimensionality reduction. The goal is to project high-dimensional data onto a lower-dimensional space such that the separability between classes is maximized. Step-by-Step LDA Calculation for the Given Dataset Step 1: Define the datasets Class X1: (4, 2), (2, 2), (3, 2), […]