When visualizing high-dimensional data in two or three dimensions, one might use PCA to project the data onto the first few ________.
- Principal Components
- Data Points
- Dimensions
- Eigenvalues
PCA (Principal Component Analysis) is used to reduce the dimensionality of data by projecting it onto the first few Principal Components, which are linear combinations of the original dimensions.
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