Question: Which is not true about Principal component analysis ( PCA ) It creates new components of proportions of existing features It identifies features that explain

Which is not true about Principal component analysis (PCA)
It creates new components of proportions of existing features
It identifies features that explain the most variance in the data
it selects a subset of existing features
it does not require labeled data

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