What does the first principal component in PCA represent?
- The direction of maximum variance
- The direction of minimum variance
- The least amount of variance in the data
- The mean of the data
The first principal component in PCA represents the direction of maximum variance in the data. It's the line (or hyperplane in higher dimensions) that best captures the structure of the data by explaining the most variance.
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