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The interactive Live Script is designed as an aid in understanding the fundamentals of the SVM (Support Vector Machine) algorithm using a classification problem as an example.
While working with the script, user can explore the key parameters of the SVM method and their impact on the final classification results—demonstrated through several synthetic datasets and the Iris dataset.
Cite As
Michal Halon (2026). Introduction to SVM (https://www.mathworks.com/matlabcentral/fileexchange/176293-introduction-to-svm), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (13.5 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
