Transformation-Invariant Clustering Using the EM Algorithm.
Brendan J. FreyNebojsa JojicPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2003)
Keyphrases
- em algorithm
- expectation maximization
- model based clustering
- mixture model
- mixture modeling
- finite mixture models
- maximum likelihood
- k means
- maximum likelihood estimation
- matrix factorisation
- parameter estimation
- gaussian mixture model
- unsupervised learning
- expectation maximisation
- clustering algorithm
- density estimation
- deterministic annealing
- likelihood function
- finite mixture model
- clustering method
- incomplete data
- gaussian mixture
- maximum a posteriori
- log likelihood
- minimum message length
- categorical data
- likelihood maximization
- cluster analysis
- hierarchical clustering
- self organizing maps
- generative model
- log likelihood function
- hidden variables
- machine learning
- document clustering
- data points
- finite mixtures
- probabilistic mixture model
- probability density function
- maximum likelihood estimates
- data clustering
- multi modal
- image segmentation
- image processing