SA_SVM

Binarry classifier based on "Self-advising support vectore machine
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Updated 27 Feb 2015

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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
Created with R2011a
Compatible with any release
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Version Published Release Notes
1.0.0.0