How is the within-class scatter matrix computed in LDA?
- By multiplying the covariances of each class
- By multiplying the means of each class
- By summing the covariances of each class
- By summing the means of each class
The within-class scatter matrix in LDA is computed "by summing the covariances of each class." This matrix captures the spread of data within each class and is essential for minimizing within-class variance.
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