A New Support Vector Finder Method, Based on Triangular Calc
Finding and determining best Support vector samples, play and important role in the accuracy and efficiency of classification process. Many
https://github.com/SeyedMuhammadHosseinMousavi/newsupportvectorfinder
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Cite As
S. Muhammad Hossein Mousavi (2026). A New Support Vector Finder Method, Based on Triangular Calc (https://uk.mathworks.com/matlabcentral/fileexchange/101549-a-new-support-vector-finder-method-based-on-triangular-calc), MATLAB Central File Exchange. Retrieved .
Mousavi, Seyed Muhammad Hossein, S. Younes MiriNezhad, and Atiye Mirmoini. "A new support vector finder method, based on triangular calculations and K-means clustering." 2017 9th International Conference on Information and Knowledge Technology (IKT). IEEE, 2017.
General Information
- Version 1.0.0 (3.86 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
