Assessing the variability of posterior probabilities in Gaussian model-based clustering.
Yuchi ZhangRyan P. BrowneJeffrey L. AndrewsPublished in: Commun. Stat. Simul. Comput. (2023)
Keyphrases
- posterior probability
- model based clustering
- generative model
- mixture model
- expectation maximization
- em algorithm
- probability density function
- probabilistic model
- gaussian mixture model
- bayesian framework
- bayesian networks
- maximum likelihood
- hierarchical clustering
- probability distribution
- bayes theorem
- density function
- conditional probabilities
- bayesian information criterion
- prior probabilities
- k means
- document clustering
- graphical models
- vector space model
- clustering algorithm
- information extraction
- software product line
- image segmentation
- learning algorithm