A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints.
Qiwei LiMichele GuindaniBrian J. ReichHoward D. BondellMarina VannucciPublished in: Stat. Anal. Data Min. (2017)
Keyphrases
- mixture model
- unsupervised learning
- density estimation
- mixture modeling
- maximum likelihood
- model based clustering
- em algorithm
- bayesian information criterion
- expectation maximization
- selection criterion
- finite mixture model
- dirichlet prior
- finite mixture models
- probabilistic model
- model selection
- gaussian mixture model
- generative model
- probabilistic mixture model
- clustering algorithm
- language model
- simultaneous clustering
- probability density function
- generalized em algorithm
- k means
- variational inference
- dirichlet process mixture models
- dirichlet process
- gaussian mixture
- hierarchical clustering
- outlier detection
- data points
- semi supervised
- image features