An Integrated Approach for Making Inference on the Number of Clusters in a Mixture Model.
Erlandson Ferreira SaraivaAdriano Kamimura SuzukiLuís Aparecido MilanCarlos Alberto De Bragança PereiraPublished in: Entropy (2019)
Keyphrases
- mixture model
- data sets
- mixture components
- model based clustering
- generative model
- gaussian mixture model
- em algorithm
- clustering algorithm
- density estimation
- simultaneous clustering
- unsupervised learning
- model selection
- probabilistic model
- bayesian networks
- decision trees
- maximum likelihood
- pairwise
- bayesian information criterion
- reinforcement learning