Lloyd clustering of Gauss mixture models for image compression and classification.
Anuradha K. AiyerKyungsuk PyunYing-zong HuangDeirdre B. O'BrienRobert M. GrayPublished in: Signal Process. Image Commun. (2005)
Keyphrases
- mixture model
- density estimation
- unsupervised learning
- image compression
- finite mixture models
- em algorithm
- vector quantization
- gaussian mixture model
- mixture modeling
- model based clustering
- model selection
- expectation maximization
- generative model
- probabilistic model
- overlapping clustering
- bayesian information criterion
- feature selection
- subspace analysis
- supervised learning
- k means
- feature vectors
- machine learning
- clustering algorithm
- maximum likelihood
- probability density function
- clustering method
- outlier detection
- automatic model selection
- minimum message length
- feature extraction
- pattern recognition
- feature space
- text classification
- cross validation
- feature set
- cluster analysis
- hierarchical clustering
- training set
- support vector
- reinforcement learning
- training data
- pairwise
- mixture components
- decision trees
- semi supervised
- dimensionality reduction
- language model