Document classification using semi-supervived mixture model of von Mises-Fisher distributions on document manifold.
Nguyen Kim AnhNgo Van LinhLe Hong KyNguyen The TamPublished in: SoICT (2013)
Keyphrases
- document classification
- von mises fisher
- mixture model
- unit sphere
- text categorization
- web documents
- em algorithm
- gaussian mixture model
- text documents
- text mining
- noise model
- multi variate
- text classification
- generative model
- probabilistic model
- maximum likelihood
- language model
- model selection
- classification algorithm
- expectation maximization
- low dimensional
- unsupervised classification
- unsupervised learning
- parameter space
- feature space
- gaussian mixture