Variational Bayes estimation of hierarchical Dirichlet-multinomial mixtures for text clustering.
Massimo BilanciaMichele Di NanniFabio MancaGianvito PioPublished in: Comput. Stat. (2023)
Keyphrases
- text clustering
- variational bayes
- expectation maximization
- mixture model
- exponential family
- em algorithm
- hierarchical clustering
- gaussian mixture model
- density estimation
- k means
- parameter estimation
- hyperparameters
- dirichlet distribution
- text data
- text categorization
- text mining
- document clustering
- log likelihood
- posterior distribution
- unsupervised learning
- clustering algorithm
- text classification
- bayesian inference
- text documents
- probabilistic model
- maximum likelihood
- hierarchical structure
- latent dirichlet allocation
- free energy
- generative model
- latent variables
- probability density function
- background knowledge
- closed form
- self organizing maps
- clustering method
- feature selection
- model selection
- graphical models
- image segmentation
- maximum a posteriori
- neural network
- high dimensional
- missing values
- markov random field
- information retrieval
- data mining