Lda, Machine Learning, Dimensionality Reduction, Linear Discriminant.
labels, which can be crucial in many real-world applications. 3. Reduced Overfitting: By reducing dimensionality while retaining class-related information, LDA can help prevent overfitting. Disadvantages: 1. Requires Labeled Data: LDA is a supervised method and requires class labels, which may not