Visualize classifier decision boundaries in MATLAB
WHEN I needed to plot classifier decision boundaries for my thesis, I decided to do it as simply as possible. Although the decision boundaries between classes can be derived analytically, plotting them for more than two classes gets a bit complicated. You have to find the intersection of regions that are all assigned to a particular class and then find the expression for the boundary of that class. If analytical boundaries are not necessary, then a brute force, computational approach can be used. This tutorial does such an approach: the feature space is divided up into a grid and then each grid cell is classified. The classified map is then shown as an image behind a scatter plot of the training data. This is an application of how to plot over an image background in MATLAB. The result will look something like this (for a city block classifier):
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