Tesselation and Clustering by Mixture Models and Their Parallel Implementations.
Qiang DuXiaoqiang WangPublished in: SDM (2004)
Keyphrases
- mixture model
- parallel implementations
- density estimation
- mixture modeling
- unsupervised learning
- overlapping clustering
- gaussian mixture model
- model based clustering
- em algorithm
- finite mixture models
- generative model
- expectation maximization
- bayesian information criterion
- k means
- probabilistic model
- parallel implementation
- language model
- clustering algorithm
- finite mixtures
- clustering method
- parallel algorithm
- maximum likelihood
- probability density function
- model selection
- cluster analysis
- hierarchical clustering
- general purpose
- subspace projections
- document clustering
- feature selection
- machine learning