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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Answer ( 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