How does LDA maximize the separation between different classes in a dataset?
- By maximizing between-class variance and minimizing within-class variance
- By maximizing both within-class and between-class variance
- By minimizing between-class variance and maximizing within-class variance
- By minimizing both within-class and between-class variance
LDA maximizes the separation between different classes by "maximizing between-class variance and minimizing within-class variance." This process ensures that different classes are far apart, while data points within the same class are close together, resulting in better class separation.
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