___________ is a dimensionality reduction technique that maximizes the separability between different classes in a dataset.
- Factor Analysis
- Linear Discriminant Analysis (LDA)
- Principal Component Analysis (PCA)
- T-Distributed Stochastic Neighbor Embedding (t-SNE)
Linear Discriminant Analysis (LDA) is used to reduce dimensions while maximizing the separability between different classes, making it particularly useful for classification problems.
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