Introduction to SVM
Version 1.0.0 (13.5 KB) by
Michal Halon
An interactive script demonstrating the basics of SVM, prepared for a post on MATLABlog https://matlablog.ont.com.pl/ (article in Polish)
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 (2025). Introduction to SVM (https://uk.mathworks.com/matlabcentral/fileexchange/176293-introduction-to-svm), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
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R2024b
Compatible with any release
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0 |
