What Does PLDA Stand For?

PLDA stands for Piecewise Linear Discriminant Analysis

Piecewise Linear Discriminant Analysis (PLDA) is a statistical technique used for classification tasks where the decision boundaries between classes are modeled as piecewise linear segments. This approach combines the advantages of linear discriminant analysis with the flexibility to adapt to complex data distributions, enabling more accurate classification in scenarios with varying class structures. PLDA is particularly effective in high-dimensional spaces and is commonly applied in fields such as machine learning, pattern recognition, and bioinformatics.