The Gaussian Mixture Particle Algorithm for Dynamic Cluster Tracking

Version 1.0.0.0 (12 MB) by Avishy
includes a causality detection algorithm for recovering interdependencies between Gaussian clusters
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Updated 14 Nov 2013

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The algorithms coded in this file are proposed in

Carmi, Septier and Godsill, "The Gaussian mixture MCMC particle algorithm for dynamic cluster tracking", Automatica
Volume 48, Issue 10, October 2012, Pages 2454-2467

Main file is "run_test.m". The experimental setup includes Boids dynamics. The MCMC algorithm is used to track the clusters formed by the Boids and also to recover the causal interdependencies among them.

Cite As

Avishy (2026). The Gaussian Mixture Particle Algorithm for Dynamic Cluster Tracking (https://www.mathworks.com/matlabcentral/fileexchange/44298-the-gaussian-mixture-particle-algorithm-for-dynamic-cluster-tracking), MATLAB Central File Exchange. Retrieved .

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Created with R2010a
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1.0.0.0