Linear Discriminant Analysis (LDA) is often used for dimensionality reduction before applying a classification algorithm, as it seeks to find the axis that best separates the ___________.
- classes
- data
- features
- variables
LDA seeks to find the axis that "best separates the classes" to reduce dimensionality while retaining class separation.
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