Estimating the mixing matrix in Sparse Component Analysis (SCA) using EM algorithm and iterative Bayesian clustering.
Hadi ZayyaniMassoud Babaie-ZadehChristian JuttenPublished in: EUSIPCO (2008)
Keyphrases
- em algorithm
- maximum likelihood
- expectation maximization
- model based clustering
- mixture model
- mixture modeling
- k means
- parameter estimation
- gaussian mixture model
- generative model
- clustering algorithm
- maximum likelihood estimates
- clustering method
- incomplete data
- maximum a posteriori
- unsupervised learning
- probability density function
- bayesian networks
- hyperparameters
- cluster analysis
- bayesian inference
- blind source separation
- computer vision
- data clustering
- map estimation
- source separation
- independent component analysis
- document clustering
- data analysis
- similarity measure
- probabilistic model