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BayesianDPMixturevMF

This package implements a few Bayesian inference algorithms for von Mises Fisher based mixture models

  • MvMF_inference.m: a Gibbs sampler for finite mixture of vMFs
  • iMvMF_inference.m: a Gibbs sampler for infinite mixture or Dirichlet Process mixture of vMFs (Chinese restaurant process representation)
  • Collapsed_iMvMF_inference.m: a Gibbs sampler for infinite mixture or Dirichlet Process mixture of vMFs with the mean vectors integrated
  • Collapsed_iMCIvMF_inference.m: a Gibbs sampler for infinite mixture of conditionally independent vMFs with the mean vectors integrated

To get started, see demo.mlx

I will rewrite the whole program and upload it soon ...

Copyright (C) 2018 Lei Fang, lf28 at st-andrews.ac.uk; Free to distribute, modify, adapt etc.

Please cite the following paper if needed (also for more details) L. Fang, J. Ye and S. Dobson, "Sensor-Based Human Activity Mining Using Dirichlet Process Mixtures of Directional Statistical Models," 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA), Washington, DC, USA, 2019, pp. 154-163.