Lda, Machine Learning, Dimensionality Reduction, Linear Discriminant.
subspace formed by the transformation matrix. Advantages and Disadvantages of LDA Advantages: 1. Effective for Classification: LDA is highly effective in improving the performance of classifiers since it focuses on maximizing class separability. 2. Utilizes Class Information: LDA leverages class