Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions.
Sanjeena SubediPaul D. McNicholasPublished in: Adv. Data Anal. Classif. (2014)
Keyphrases
- gaussian distribution
- variational bayes
- gaussian mixture model
- expectation maximization
- posterior distribution
- free energy
- mixture model
- k means
- maximum likelihood
- clustering algorithm
- em algorithm
- latent variables
- unsupervised learning
- bayesian inference
- hyperparameters
- bayesian learning
- density estimation
- probabilistic model
- self organizing maps
- generative model
- computer vision
- active learning
- exponential family
- feature extraction