A possibilistic clustering approach toward generative mixture models.
Sotirios P. ChatzisGavrill TsechpenakisPublished in: Pattern Recognit. (2012)
Keyphrases
- mixture model
- possibilistic clustering
- generative model
- fuzzy clustering
- unsupervised learning
- fuzzy c means
- probabilistic model
- gaussian mixture model
- em algorithm
- density estimation
- semi supervised
- possibilistic c means
- discriminative learning
- mixture modeling
- clustering algorithm
- expectation maximization
- probability density function
- language model
- prior knowledge
- automatic model selection
- latent dirichlet allocation
- maximum likelihood
- image processing
- pattern recognition
- topic models
- model based clustering
- discriminative training
- model selection
- neural network