A company wants to classify its products into different categories based on various features. How could LDA be applied here, considering both within-class and between-class variances?
- Apply LDA to balance within-class and between-class variances for effective classification
- Focus on within-class variance and ignore between-class variance
- Ignore within-class variance and focus on between-class variance
- Use another method
LDA could be applied by considering both within-class and between-class variances, seeking to "balance within-class and between-class variances for effective classification." This ensures that products in the same category are similar, while products in different categories are distinct.
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