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Linear Discriminant Analysis (LDA) is a dimensionality reduction and classification method. It finds low-dimensional subspace with the strongest class separation and uses it to perform classification. Use this tag for quadratic DA (QDA) too.
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Calculate the decision boundary for Quadratic Discriminant Analysis (QDA)
If you look at the calculations, you will see there are a few bugs in this.
Correct value of w comes out to be :
$$w = C-a(x-\mu_{10})^2+p(x-\mu_{00})^2+b\mu_{11}x+c\mu_{11}x-q\mu_{01}x-r\mu_{01}x-d …