Reinforced EM Algorithm for Clustering with Gaussian Mixture Models.
Joshua TobinChin Pang HoMimi ZhangPublished in: SDM (2023)
Keyphrases
- gaussian mixture model
- em algorithm
- expectation maximization
- mixture model
- finite mixture models
- model based clustering
- k means
- mixture modeling
- maximum likelihood
- density estimation
- bayesian information criterion
- parameter estimation
- maximum likelihood estimation
- unsupervised learning
- matrix factorisation
- gaussian mixture
- generative model
- probability density function
- likelihood function
- hyperparameters
- finite mixture model
- minimum message length
- hierarchical clustering
- clustering algorithm
- probability density
- log likelihood
- finite mixtures
- incomplete data
- expectation maximisation
- mixture distribution
- image segmentation
- variational bayes
- high dimensional
- mixture of gaussians
- latent variables
- document clustering
- data points
- feature vectors