ML Interview Question | Is rotation necessary in PCA?

Question

If yes, Why?

What will happen if you don’t rotate the components?

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Dhruv2301 4 years 1 Answer 1143 views Great Grand Master 0

Answer ( 1 )

  1. Yes, rotation (orthogonal) is necessary because it maximizes the difference between variance captured by the component. … If we don’t rotate the components, the effect of PCA will diminish and we’ll have to select more number of components to explain variance in the data set

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