Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation.
Takeru MatsudaAapo HyvärinenPublished in: CoRR (2018)
Keyphrases
- mixture model
- density estimation
- mixture modeling
- unsupervised learning
- gaussian mixture model
- overlapping clustering
- model based clustering
- em algorithm
- finite mixture models
- expectation maximization
- generative model
- probability density function
- maximum likelihood
- clustering algorithm
- probability density
- k means
- bayesian information criterion
- model selection
- probabilistic model
- probabilistic mixture model
- finite mixture model
- parameter estimation
- cluster analysis
- language model
- prior knowledge
- image processing
- document clustering
- outlier detection
- machine learning
- feature space
- finite mixtures