Decentralized EM to Learn Gaussian Mixtures from Datasets Distributed by Features.
Pedro ValdeiraCláudia SoaresJoão M. F. XavierPublished in: CoRR (2022)
Keyphrases
- gaussian mixture
- expectation maximization
- distributed systems
- em algorithm
- probability density function
- feature extraction
- density estimation
- multi agent
- peer to peer
- closed form
- bayesian networks
- maximum likelihood
- unsupervised learning
- statistical analysis
- mixture model
- gaussian mixture model
- machine learning
- prior knowledge
- multiscale
- covariance matrix
- feature space
- feature vectors
- image features
- upper bound