Model selection and application to high-dimensional count data clustering - via finite EDCM mixture models.
Nuha ZamzamiNizar BouguilaPublished in: Appl. Intell. (2019)
Keyphrases
- model selection
- mixture model
- data clustering
- unsupervised learning
- automatic model selection
- cross validation
- high dimensional
- hyperparameters
- em algorithm
- gaussian mixture model
- sample size
- parameter estimation
- machine learning
- density estimation
- gaussian process
- k means
- bayesian information criterion
- generative model
- clustering algorithm
- probabilistic model
- information criterion
- selection criterion
- expectation maximization
- maximum likelihood
- exponential family
- language model
- dimensionality reduction
- probability density function
- feature selection
- feature extraction
- data mining