... | ... | @@ -81,7 +81,7 @@ We now have a definition of the variance of the data projected on $`u_1`$. We ar |
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u_{1}^TSu_{1} - \lambda_1(u_{1}^Tu_{1}-1)
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```
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At this stage, we can go into optimization: we take the derivative with respect to $`u_{1}`$ and set it equal to zero:
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At this stage, we start the optimization procedure: we take the derivative with respect to $`u_{1}`$ and set it equal to zero:
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```math
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Su_{1} - \lambda_1u_{1} = 0
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