A hierarchical mixture model for clustering three-way data sets.
Jeroen K. VermuntPublished in: Comput. Stat. Data Anal. (2007)
Keyphrases
- mixture model
- unsupervised learning
- data sets
- density estimation
- mixture modeling
- model based clustering
- finite mixture models
- gaussian mixture model
- probabilistic model
- bayesian information criterion
- hierarchical clustering
- expectation maximization
- model selection
- generative model
- em algorithm
- clustering algorithm
- simultaneous clustering
- clustering method
- k means
- probabilistic mixture model
- high dimensional data
- probability density function
- maximum likelihood
- hierarchical dirichlet process
- finite mixture model
- gaussian mixture
- language model
- machine learning
- categorical data
- unsupervised manner
- outlier detection
- missing data
- dimensionality reduction
- supervised learning
- learning algorithm