Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component Splitting.
Hieu NguyenKamal MaanicshahMuhammad AzamNizar BouguilaPublished in: ICIAR (2) (2019)
Keyphrases
- mixture model
- data clustering
- unsupervised learning
- learning algorithm
- expectation maximization
- em algorithm
- learning process
- gaussian mixture model
- prior knowledge
- spectral clustering
- decision trees
- cluster analysis
- supervised learning
- data sets
- generative model
- reinforcement learning
- automatic model selection
- object recognition
- density estimation
- model selection
- pattern recognition
- maximum likelihood
- data analysis