Unsupervised Classification with Non-Gaussian Mixture Models Using ICA.
Te-Won LeeMichael S. LewickiTerrence J. SejnowskiPublished in: NIPS (1998)
Keyphrases
- unsupervised classification
- mixture model
- independent component analysis
- unsupervised learning
- blind source separation
- factor analysis
- principal component analysis
- gaussian mixture model
- supervised classification
- em algorithm
- expectation maximization
- density estimation
- data clustering
- signal processing
- clustering ensemble
- probabilistic model
- generative model
- model selection
- supervised learning
- semi supervised
- semi supervised learning
- machine learning
- subspace analysis
- dimensionality reduction
- object recognition
- probability density function
- maximum likelihood
- remote sensing data
- language model
- clustering algorithm
- mixture modeling
- pattern recognition
- remote sensing images
- bayesian networks
- face recognition
- hyperspectral images
- computer vision
- information retrieval
- data sets