A countably infinite mixture model for clustering and feature selection.
Nizar BouguilaDjemel ZiouPublished in: Knowl. Inf. Syst. (2012)
Keyphrases
- mixture model
- unsupervised learning
- feature selection
- simultaneous clustering
- model selection
- mixture modeling
- density estimation
- model based clustering
- gaussian mixture model
- em algorithm
- probabilistic model
- finite mixture models
- probabilistic mixture model
- bayesian information criterion
- expectation maximization
- generative model
- k means
- clustering algorithm
- dimensionality reduction
- finite mixture model
- supervised learning
- feature space
- clustering method
- data points
- high dimensionality
- maximum likelihood
- machine learning
- minimum message length
- probability density function
- hierarchical clustering
- feature selection algorithms
- unsupervised classification
- semi supervised
- feature set
- language model
- computer vision
- text classification
- document clustering
- semi supervised learning
- support vector
- data mining
- reinforcement learning