Learning Gaussian mixture with automatic model selection: A comparative study on three Bayesian related approaches

@inproceedings{Shi2011LearningGM,
  title={Learning Gaussian mixture with automatic model selection: A comparative study on three Bayesian related approaches},
  author={Lei Shi and TU Shikui and Xu Lei},
  year={2011}
}
Three Bayesian related approaches, namely, variational Bayesian (VB), minimum message length (MML) and Bayesian Ying-Yang (BYY) harmony learning, have been applied to automatically determining an appropriate number of components during learning Gaussian mixture model (GMM). This paper aims to provide a comparative investigation on these approaches with not only a Jeffreys prior but also a conjugate Dirichlet-Normal-Wishart (DNW) prior on GMM. In addition to adopting the existing algorithms… CONTINUE READING