Compute the Linear Discriminant projection for the following two-dimen

Question

Compute the Linear Discriminant projection for the following two-dimensional dataset:

$X_{1}=\left ( x_{1},x_{2} \right )$ = (4, 2), (2, 2), (3, 2), (3, 5), (3, 4)

$X_{2}=\left ( x_{1},x_{2} \right )$ = (8, 7), (9, 6), (7, 7), (9, 8), (10, 9)

07 Mar 2024

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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