Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models.
Yixin WangAnthony DeglerisAlex H. WilliamsScott W. LindermanPublished in: CoRR (2022)
Keyphrases
- mixture model
- bayesian nonparametric
- unsupervised learning
- density estimation
- mixture modeling
- gaussian mixture model
- variational inference
- probabilistic model
- em algorithm
- generative model
- expectation maximization
- model selection
- clustering algorithm
- k means
- hierarchical dirichlet process
- maximum likelihood
- gaussian process
- dirichlet process
- language model
- bayesian inference
- semi supervised
- outlier detection
- data points
- pairwise
- prior information
- probability density function
- supervised learning
- exponential family