Decision Boundaries Visualization of SVDD (libsvm-3.23)
Decision Boundaries Visualization of SVDD (libsvm-3.23)
https://github.com/iqiukp/Decision-Boundaries-Visualization-of-SVDD-libsvm-3.23
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Support Vector Data Description (SVDD) is a one-classification algorithm.
This code is written for decision boundary visualization of SVDD in the libsvm-3.23 toolbox. Details are described as follows :
(1) Built the SVDD hypersphere model of the training set.
(2) Fill the training set area with the grid method.
(3) Predict the score of each grid point.
(4) Draw contour lines based on grid point scores.
(5) Draw decision boundaries.
General Information
- Version 1.0.0 (559 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
