Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models.
Paul David McNicholasThomas Brendan MurphyAaron F. McDaidDermot FrostPublished in: Comput. Stat. Data Anal. (2010)
Keyphrases
- model based clustering
- parallel implementations
- gaussian mixture model
- mixture model
- em algorithm
- expectation maximization
- bayesian information criterion
- parallel implementation
- parallel algorithm
- probabilistic model
- maximum likelihood
- speaker recognition
- generative model
- finite mixture models
- unsupervised learning
- feature vectors
- language model
- k means
- hierarchical clustering
- parallel programming
- model selection
- density estimation
- mixture modeling
- information retrieval systems
- low level
- feature space
- object recognition
- feature extraction
- image segmentation
- clustering algorithm