K-Nearest Neighbor Algorithm MATLAB Implementation with Source Code

MATLAB source code for K-Nearest Neighbor (KNN) algorithm with test data, suitable for both multi-class and binary classification problems. The implementation uses the popular Iris dataset for validation, demonstrating exceptional classification accuracy reaching 98%. The code implements core KNN functionality including distance calculation, neighbor selection, and majority voting classification.

One-vs-One Support Vector Machine Source Code for Multi-class Classification Problems

This one-vs-one support vector machine source code for multi-class classification problems is guaranteed to be executable with proper implementation.