Which of the following is NOT true about PCA?
Which of the following is NOT true about PCA?
- PCA stands for principal component analysis
- PC1 and PC2, the first and second principal components, respectively, are always orthogonal to each other.
- PC1, the first principal component , captures the largest amount of variance in the data along a single dimension.
- PCA is a dimensionality reduction technique that removes a feature that is very correlated with another feature.
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