High-dimensional variable selection with the plaid mixture model for clustering.
Thierry ChekouoAlejandro MuruaPublished in: Comput. Stat. (2018)
Keyphrases
- variable selection
- mixture model
- high dimensional
- model selection
- unsupervised learning
- mixture modeling
- density estimation
- model based clustering
- high dimensional data
- cross validation
- em algorithm
- gaussian mixture model
- data points
- high dimensionality
- probabilistic model
- generative model
- probabilistic mixture model
- expectation maximization
- clustering algorithm
- dimension reduction
- k means
- clustering method
- language model
- high dimensional datasets
- low dimensional
- feature selection
- nearest neighbor
- selection criterion
- feature space
- maximum likelihood
- cluster analysis
- dimensionality reduction
- bayesian networks
- regression model
- machine learning
- prior knowledge