What mathematical criterion is used in LDA to find the directions that maximize the between-class variance?
- Eigenvalue decomposition
- Gradient ascent
- Ratio of between-class scatter to within-class scatter
- Ratio of determinants
The mathematical criterion used in LDA to find the directions that maximize the between-class variance is the "ratio of between-class scatter to within-class scatter." Maximizing this ratio leads to better separation between classes.
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