Variable selection in model-based clustering and discriminant analysis with a regularization approach.
Gilles CeleuxCathy Maugis-RabusseauMohammed SedkiPublished in: Adv. Data Anal. Classif. (2019)
Keyphrases
- discriminant analysis
- variable selection
- model based clustering
- sparsity inducing
- linear discriminant analysis
- model selection
- cross validation
- dimension reduction
- hierarchical clustering
- face recognition
- mixture model
- bayesian information criterion
- high dimensional
- expectation maximization
- em algorithm
- principal component analysis
- document clustering
- clustering algorithm
- high dimensional data
- feature extraction
- k means
- dimensionality reduction methods
- cluster analysis
- feature selection
- selection criterion
- pairwise
- support vector
- reinforcement learning
- probabilistic model
- image segmentation
- scatter matrices
- structured sparsity
- dimensionality reduction