Interpretable Clustering via Discriminative Rectangle Mixture Model.
Junxiang ChenYale ChangBrian HobbsPeter J. CastaldiMichael H. ChoEdwin K. SilvermanJennifer G. DyPublished in: ICDM (2016)
Keyphrases
- mixture model
- unsupervised learning
- mixture modeling
- density estimation
- em algorithm
- model based clustering
- finite mixture models
- gaussian mixture model
- probabilistic model
- expectation maximization
- generative model
- bayesian information criterion
- probabilistic mixture model
- clustering algorithm
- model selection
- semi supervised
- simultaneous clustering
- k means
- language model
- semi supervised learning
- finite mixture model
- probability density function
- document clustering
- unsupervised classification
- text classification
- feature selection
- pattern recognition
- gaussian mixture
- object recognition
- outlier detection
- maximum likelihood
- feature extraction
- hierarchical clustering
- pairwise
- data sets