Can you briefly explain how Eigenvectors are used in PCA?
- To calculate the mean of the data
- To cluster the data
- To determine the direction of maximum variance
- To normalize the data
Eigenvectors are used in PCA to determine the directions of maximum variance in the data. They define the axes along which the data is projected to form the principal components, preserving most of the information.
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