Graphical User Interface-Based Multi-Class SVM Classification Experimental System
A comprehensive multi-class classification experimental system with a graphical user interface, fully implemented in MATLAB. The system supports various classification and recognition tasks, utilizing Support Vector Machine (SVM) algorithms with extensible architecture for integrating additional classification methods. This implementation serves as a supplementary program for my graduation project, featuring modular code design with key functions for data preprocessing, model training, and result visualization.