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.

2D Three-Class Sample Classification with Decision Boundary Visualization

Classifies two-dimensional three-category samples while visualizing decision boundaries to demonstrate pattern recognition and neural network fundamentals