A Bayesian mixture model to quantify parameters of spatial clustering.
Martin SchäferYvonne RadonThomas KleinSabrina HerrmannHolger SchwenderPeter J. VerveerKatja IckstadtPublished in: Comput. Stat. Data Anal. (2015)
Keyphrases
- mixture model
- maximum likelihood
- dirichlet prior
- spatial clustering
- expectation maximization
- em algorithm
- gaussian mixture model
- gaussian mixture
- probability density function
- parameter estimation
- language model
- probabilistic model
- model selection
- generative model
- density estimation
- generalized em algorithm
- mixture components
- spatial data
- probabilistic mixture model
- hyperparameters
- clustering method
- unsupervised learning
- posterior distribution
- dirichlet process
- dirichlet distribution
- association rules
- mixture modeling
- clustering algorithm
- databases
- principal component analysis
- prior distribution
- knowledge discovery
- image segmentation
- computer vision