A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering.
Yiu-ming CheungHong JiaPublished in: ICANN (3) (2010)
Keyphrases
- competitive learning
- gaussian mixture
- self organizing maps
- data clustering
- k means
- mixtures of gaussians
- unsupervised learning
- information theoretic
- expectation maximization
- neural network
- density estimation
- gaussian mixture model
- em algorithm
- clustering method
- probability density function
- closed form
- clustering algorithm
- mixture model
- covariance matrix
- maximum likelihood
- cluster analysis
- mutual information
- feature maps
- data points
- model selection
- probability density
- motion estimation
- upper bound
- training data