Info
This question is closed. Reopen it to edit or answer.
Why are support vectors that receive from the Classification Learner application different from training set?
1 view (last 30 days)
Show older comments
Hello, I used Classification Learner application on MATLAB to training my SVM model which I want to classify the data into 4 classes by using one-vs-all strategy. Finally, I will receive 4 decision function for each class. However, I have no clear that why the model that I extract from the app provides different values from the training set that actually the support vectors should be some sample of training data (a subset of training data) that lie on boundary parallel hyperplanes. Below shows support vectors from one class and my training data.
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/170086/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/170088/image.png)
0 Comments
Answers (0)
This question is closed.
See Also
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!