A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models.
Alexander GepperthBenedikt PfülbPublished in: CoRR (2020)
Keyphrases
- self organizing maps
- gaussian mixture model
- mixture model
- unsupervised learning
- neural network
- feature vectors
- em algorithm
- speaker recognition
- expectation maximization
- maximum likelihood
- competitive learning
- density estimation
- covariance matrices
- neural gas
- speaker identification
- k means
- probability density
- probabilistic neural network
- input data
- som neural network
- probability density function
- finite mixtures
- feature space
- language model
- visualization methods
- pattern recognition
- decision trees
- feature selection