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Question 2 2. [Dimension Redundancy] Principal component analysis is a dimension- ality reduction method that projects a dataset into its most variable com- ponents. You

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Question 2 2. [Dimension Redundancy] Principal component analysis is a dimension- ality reduction method that projects a dataset into its most variable com- ponents. You are given the following 2D dataset plots, draw the first and second principal components on each plot. Dimension 2 Dimension 2 Dimension 1 Dimension 1

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