Maximum likelihood clustering via normal mixture models.
Geoffrey J. McLachlanDavid PeelW. J. WhitenPublished in: Signal Process. Image Commun. (1996)
Keyphrases
- mixture model
- maximum likelihood
- em algorithm
- expectation maximization
- mixture modeling
- density estimation
- model based clustering
- gaussian mixture model
- overlapping clustering
- unsupervised learning
- finite mixture models
- bayesian information criterion
- k means
- clustering algorithm
- finite mixture model
- probabilistic mixture model
- exponential family
- maximum likelihood estimation
- gaussian distribution
- cluster analysis
- hierarchical clustering
- maximum a posteriori
- likelihood function
- probability density function
- hyperparameters
- probabilistic model
- clustering method
- generative model
- dirichlet distribution
- object recognition
- image segmentation
- machine learning
- data sets
- outlier detection
- language model