An investigation of computational and informational limits in Gaussian mixture clustering.
Nathan SrebroGregory ShakhnarovichSam T. RoweisPublished in: ICML (2006)
Keyphrases
- gaussian mixture
- mixtures of gaussians
- density estimation
- em algorithm
- probability density function
- clustering algorithm
- gaussian mixture model
- k means
- expectation maximization
- closed form
- covariance matrix
- mixture model
- probability density
- mixture of gaussians
- gaussian density
- gaussian densities
- unsupervised learning
- data points
- higher order
- information theoretic
- generative model
- language model
- active learning
- reinforcement learning
- kl divergence
- machine learning