Question
Compute the Linear Discriminant projection for the following two-dimensional dataset:
= (4, 2), (2, 2), (3, 2), (3, 5), (3, 4)
= (8, 7), (9, 6), (7, 7), (9, 8), (10, 9)
Answer :
Word Count : 374
To compute the Linear Discriminant Analysis (LDA) projection for the given dataset, we need to follow these steps: ### Step 1: Compute the Mean of Each Class We are given two classes: \( X_1 \) and \( X_2 \). Class 1, \( X_1 \): \[ (4, 2), (2, 2), (3, 2), (3, 5), (3, 4) \] Class 2, \( X_2 \): \[ (8, 7), (9, 6), (7, 7), (9, 8), (10, 9) \] First, _____ _______ __________ ______ ______.
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To compute the Linear Discriminant Analysis (LDA) projection for the given dataset, we need to follow these steps: ### Step 1: Compute the Mean of Each Class We are given two classes: \( X_1 \) and \( X_2 \). Class 1, \( X_1 \): \[ (4, 2), (2, 2), (3, 2), (3, 5), (3, 4) \] Class 2, \( X_2 \): \[ (8, 7), (9, 6), (7, 7), (9, 8), (10, 9) \] First, _____ _______ __________ ______ ______.
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