Unsupervised Hybrid Feature Extraction Selection for High-Dimensional Non-Gaussian Data Clustering with Variational Inference.
Wentao FanNizar BouguilaDjemel ZiouPublished in: IEEE Trans. Knowl. Data Eng. (2013)
Keyphrases
- data clustering
- unsupervised learning
- variational inference
- high dimensional
- feature extraction
- dimensionality reduction
- mixture model
- bayesian inference
- dimension reduction
- high dimensional data
- latent dirichlet allocation
- feature space
- cluster analysis
- posterior distribution
- gaussian process
- topic models
- manifold learning
- low dimensional
- k means
- spectral clustering
- semi supervised
- clustering algorithm
- variational methods
- probabilistic graphical models
- probabilistic model
- principal component analysis
- approximate inference
- exponential family
- gaussian mixture model
- exact inference
- feature selection
- pattern recognition
- image processing
- supervised learning
- linear discriminant analysis
- maximum a posteriori
- closed form
- machine learning
- expectation maximization
- maximum likelihood
- nearest neighbor
- data points
- face recognition
- learning algorithm