An extended EM algorithm for subspace clustering.
Lifei ChenQingshan JiangPublished in: Frontiers Comput. Sci. China (2008)
Keyphrases
- em algorithm
- subspace clustering
- expectation maximization
- mixture model
- high dimensional data
- maximum likelihood
- clustering algorithm
- parameter estimation
- maximum likelihood estimation
- subspace clusters
- clustering method
- likelihood function
- high dimensional
- generative model
- maximum a posteriori
- gaussian mixture model
- subspace projections
- expectation maximisation
- gaussian mixture
- model based clustering
- incomplete data
- log likelihood
- mixture distribution
- mixture modeling
- hidden variables
- finite mixture model
- penalized likelihood
- density estimation
- probability density function
- nearest neighbor
- probabilistic model
- unsupervised learning
- low dimensional
- input image
- semi supervised
- data analysis
- pattern recognition
- log likelihood function
- learning algorithm
- data sets