Clustering Very Large Databases Using EM Mixture Models.
Paul S. BradleyCory ReinaUsama M. FayyadPublished in: ICPR (2000)
Keyphrases
- mixture model
- unsupervised learning
- em algorithm
- expectation maximization
- density estimation
- gaussian mixture model
- mixture modeling
- model based clustering
- overlapping clustering
- generative model
- probabilistic model
- finite mixture models
- k means
- maximum likelihood
- bayesian information criterion
- finite mixture model
- model selection
- clustering algorithm
- language model
- clustering method
- probabilistic mixture model
- probability density function
- hierarchical clustering
- gaussian mixture
- supervised learning
- mixture components
- data points
- decision trees
- data sets
- outlier detection
- training data
- learning algorithm
- finite mixtures