Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models.
Beomseok SeoLin LinJia LiPublished in: J. Comput. Graph. Stat. (2022)
Keyphrases
- variable selection
- mixture model
- block wise
- model selection
- probabilistic mixture model
- unsupervised learning
- cross validation
- mixture modeling
- model based clustering
- gaussian mixture model
- generative model
- em algorithm
- high dimensional data
- probabilistic model
- dimension reduction
- clustering algorithm
- expectation maximization
- high dimensional
- language model
- k means
- clustering method
- regression model
- selection criterion
- order statistics
- maximum likelihood
- data points
- latent variables
- machine learning
- gaussian process
- bayesian networks
- image processing
- probability density function
- clustering analysis