Decision Boundaries Visualization of SVDD (libsvm-3.23)
Version 1.0.0 (559 KB) by
Kepeng Qiu
Decision Boundaries Visualization of SVDD (libsvm-3.23)
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.
MATLAB Release Compatibility
Created with
R2019b
Compatible with any release
Platform Compatibility
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libsvm-3.23
Versions that use the GitHub default branch cannot be downloaded
Version | Published | Release Notes | |
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1.0.0 |
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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.