AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
tasks. 2. Dimensionality Reduction: Like PCA, LDA can be used for dimensionality reduction, but with the advantage of considering class information. Cons: 1. Sensitivity to Outliers: LDA is sensitive to outliers, and the presence of outliers can affect the performance of the method. 2. Assumption