Gaussian mixture reduction via clustering

  title={Gaussian mixture reduction via clustering},
  author={Dennis Schieferdecker and Marco F. Huber},
  journal={2009 12th International Conference on Information Fusion},
Recursive processing of Gaussian mixture functions inevitably leads to a large number of mixture components. In order to keep the computational complexity at a feasible level, the number of their components has to be reduced periodically. There already exists a variety of algorithms for this purpose, bottom-up and top-down approaches, methods that take the global structure of the mixture into account or that work locally and consider few mixture components at the same time. The mixture… CONTINUE READING
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