Decision Boundaries Visualization of SVDD (libsvm-3.23)

Decision Boundaries Visualization of SVDD (libsvm-3.23)
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Updated 18 Oct 2019

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
Windows macOS Linux
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Version Published Release Notes
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.