Two-Dimensional Three-Class Sample Classification with Decision Boundary Visualization

This program implements classification for two-dimensional three-class samples with decision boundary plotting functionality. Essential for pattern recognition learners and neural network enthusiasts. Features straightforward MATLAB code implementation using statistical classification methods with strong practical applicability.