Modeling and Clustering Positive Vectors via Nonparametric Mixture Models of Liouville Distributions.
Wentao FanNizar BouguilaPublished in: IEEE Trans. Neural Networks Learn. Syst. (2020)
Keyphrases
- mixture model
- density estimation
- dirichlet distribution
- dirichlet process
- mixture modeling
- finite mixtures
- unsupervised learning
- exponential family
- gaussian mixture model
- em algorithm
- finite mixture models
- model based clustering
- overlapping clustering
- minimum message length
- expectation maximization
- probability density
- generative model
- probabilistic model
- bayesian information criterion
- model selection
- covariance matrices
- clustering method
- clustering algorithm
- probability density function
- language model
- maximum likelihood
- dirichlet process mixture models
- gaussian model
- k means
- outlier detection
- mixture components
- automatic model selection
- variational inference
- hierarchical clustering
- document clustering
- cluster analysis
- vector space
- power law
- prior knowledge
- feature vectors
- image processing