An efficient model order selection for PCA mixture model.
Hyun-Chul KimDaijin KimSung Yang BangPublished in: Pattern Recognit. Lett. (2003)
Keyphrases
- mixture model
- model order selection
- gaussian mixture model
- principal component analysis
- em algorithm
- generative model
- probabilistic model
- parameter tuning
- density estimation
- expectation maximization
- language model
- unsupervised learning
- gaussian mixture
- maximum likelihood
- model selection
- high dimensional
- feature extraction
- face recognition
- feature space
- probability density function
- dimensionality reduction
- finite mixture model
- principal components
- data mining
- dirichlet processes
- mixture modeling
- mixture of gaussians
- machine learning
- image segmentation
- independent component analysis
- k means
- data sets