Variable selection for clustering with Gaussian mixture models: state of the art.
Abdelghafour TalibiBoujemâa AchchabRafik LasriPublished in: CoRR (2017)
Keyphrases
- variable selection
- gaussian mixture model
- mixture model
- model selection
- linear models
- density estimation
- input variables
- cross validation
- high dimensional
- high dimensional data
- clustering algorithm
- em algorithm
- speaker recognition
- k means
- dimension reduction
- feature vectors
- clustering method
- expectation maximization
- maximum likelihood
- feature space
- speaker identification
- unsupervised learning
- probabilistic model
- probability density function
- generative model
- covariance matrices
- selection criterion
- nearest neighbor
- regression model
- least squares
- data analysis
- face recognition
- neural network