Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering.
Chris FraleyAdrian E. RafteryPublished in: J. Classif. (2007)
Keyphrases
- model based clustering
- mixture model
- expectation maximization
- finite mixture models
- em algorithm
- density estimation
- hierarchical clustering
- clustering algorithm
- gaussian mixture model
- k means
- mixture modeling
- generative model
- unsupervised learning
- agglomerative hierarchical clustering
- maximum likelihood
- distance measure
- object oriented
- model selection
- relevance feedback
- probabilistic model
- bayesian information criterion
- image segmentation
- computer vision