Machine Learning, Data Science, Deep Learning, Dimensionality Reduction, Artificial Intelligence.
different the groups are, while the within-class variability measures how much variation there is within each group. Construct Discriminant Functions: The aim of LDA is to maximize the between-class variability while minimizing the within-class variability. This is achieved by creating discriminant