Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection.
Hong ZengYiu-ming CheungPublished in: IJCNN (2007)
Keyphrases
- gaussian mixture
- automatic model selection
- mixture model
- feature selection
- mixtures of gaussians
- unsupervised learning
- em algorithm
- model selection
- expectation maximization
- gaussian mixture model
- density estimation
- k means
- clustering algorithm
- factor analysis
- clustering method
- closed form
- covariance matrix
- cluster analysis
- text classification
- probability density function
- dimensionality reduction
- information criterion
- mutual information
- high dimensional data
- feature extraction
- language model
- image processing
- leave one out cross validation
- feature selection algorithms
- machine learning
- statistical model
- probability distribution
- probabilistic model
- feature vectors
- training set
- multiscale
- similarity measure