The method of ___________ focuses on finding the linear combinations of variables that best separate different classes, making it useful in classification problems.
- Linear Discriminant Analysis
- clustering
- normalization
- scaling
Linear Discriminant Analysis (LDA) focuses on finding the linear combinations of features that best separate different classes. It's especially useful in classification problems where the goal is to distinguish between different categories or groups.
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