A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering.
Nicolas JouvinCharles BouveyronPierre LatouchePublished in: Stat. Comput. (2021)
Keyphrases
- subspace clustering
- em algorithm
- maximum likelihood
- expectation maximization
- gaussian mixture
- gaussian mixture model
- high dimensional data
- bayesian model selection
- parameter estimation
- subspace clusters
- mixture model
- clustering method
- maximum likelihood estimation
- clustering algorithm
- mixture distribution
- generative model
- high dimensional
- unsupervised learning
- log likelihood
- hyperparameters
- expectation maximisation
- maximum a posteriori
- mixture modeling
- probability density function
- density estimation
- data analysis
- semi supervised
- feature selection
- bayesian framework
- feature extraction
- posterior probability
- dimensionality reduction
- high dimensionality
- bayesian networks
- nearest neighbor