SMLSOM: The shrinking maximum likelihood self-organizing map.
Ryosuke MotegiYoichi SekiPublished in: CoRR (2021)
Keyphrases
- self organizing maps
- maximum likelihood
- neural network
- som neural network
- competitive learning
- em algorithm
- unsupervised learning
- topology preserving
- k means
- neural gas
- input data
- feature maps
- learning vector quantization
- expectation maximization
- probabilistic neural network
- pattern recognition
- gaussian mixture model
- high dimensional
- database