A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models.
Alexander GepperthBenedikt PfülbPublished in: ICANN (2) (2020)
Keyphrases
- self organizing maps
- gaussian mixture model
- mixture model
- neural network
- speaker recognition
- unsupervised learning
- probabilistic neural network
- competitive learning
- feature vectors
- neural gas
- em algorithm
- probability density
- density estimation
- k means
- som neural network
- network anomaly detection
- input data
- feature space
- probability density function
- expectation maximization
- maximum likelihood
- speaker identification
- feature selection
- covariance matrices
- computer vision
- finite mixtures
- data sets
- anomaly detection
- image processing