SA_SVM
Binarry classifier based on "Self-advising support vectore machine, Yashar Maali, Adel Al-Jumaily,Knowledge-Based Systems 52 (2013) 214–222"
Traindata is a numeric matrix of predictor data. Rows of traindata correspond to observations;
columns correspond to features. Trainlabel is a column vector that contains the known class
labels (1 or 0) for traindata. Each element of trainlabel specifies the group the corresponding
row of traindata belongs to traindata and trainlabel must have the same number of rows.
Testdata is a numeric matrix of predictor data. Rows of testdata correspond to observations;
columns correspond to features.Testlabel is a column vector that contains the known class
labels (1 or 0) for testdata. Each element of testlabel specifies the group the corresponding
row of testdata belongs to. Testdata and testlabel must have the same number of rows.
Cite As
Yashar Maali (2024). SA_SVM (https://www.mathworks.com/matlabcentral/fileexchange/49845-sa_svm), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 |