A variable-selection control chart via penalized likelihood and Gaussian mixture model for multimodal and high-dimensional processes.
Dandan YanShuai ZhangUk JungPublished in: Qual. Reliab. Eng. Int. (2019)
Keyphrases
- variable selection
- gaussian mixture model
- penalized likelihood
- high dimensional
- em algorithm
- maximum likelihood
- control charts
- mixture model
- expectation maximization
- cross validation
- feature space
- input variables
- model selection
- log likelihood
- dimension reduction
- density estimation
- parameter estimation
- low dimensional
- high dimensional data
- feature vectors
- dimensionality reduction
- probability density function
- high dimensionality
- neural network
- generative model
- data points
- selection criterion
- least squares
- feature selection
- bayesian framework
- probability distribution
- genetic algorithm