Keyphrases
- em algorithm
- expectation maximization
- model based clustering
- mixture model
- mixture modeling
- maximum likelihood
- parameter estimation
- matrix factorisation
- maximum likelihood estimation
- finite mixture models
- gaussian mixture model
- k means
- density estimation
- likelihood function
- generative model
- probabilistic principal component analysis
- unsupervised learning
- expectation maximisation
- gaussian mixture
- clustering algorithm
- clustering method
- minimum message length
- deterministic annealing
- incomplete data
- likelihood maximization
- maximum a posteriori
- finite mixture model
- log likelihood
- probability density function
- self organizing maps
- categorical data
- bayesian information criterion
- data clustering
- hierarchical clustering
- mixture distribution
- computer vision
- cluster analysis
- document clustering
- hidden variables
- least squares
- data points
- probabilistic model
- dimensionality reduction
- optical flow
- outlier detection
- penalized likelihood
- image sequences