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Which is incorrect about the Principal Component Analysis (PCA)? A. The first principal component accounts for the largest amount of the variance in the data

Which is incorrect about the Principal Component Analysis (PCA)?

A. The first principal component accounts for the largest amount of the variance in the data

B. We only need the first two principal components to explain the overall data

C. If the total variance of the data is 5 and the first eigenvalue is 4, the first principal component explains 80% of the total variance

D. The principal components are independent of each other

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