|Code Listing by Johannes|
Serves as a first attempt to get publicly available MATLAB code for computing the hypervolume and hypervolume contributions. The implementation is usable in 2D and 3D. For 4D and beyond, it is not so efficient, but it does produce correct results. Contributions are very welcome. The code is also available and maintained in the RODEOlib sourceforge project.
This is a 3D visualization of how the Expectation Maximization algorithm learns a Gaussian Mixture Model for 3-dimensional data.
--How it works--
The data is either read in or generated in general-covariance gaussian clusters. For...
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