SMLSOM: The shrinking maximum likelihood self-organizing map.
Ryosuke MotegiYoichi SekiPublished in: Comput. Stat. Data Anal. (2023)
Keyphrases
- self organizing maps
- maximum likelihood
- neural network
- unsupervised learning
- som neural network
- competitive learning
- expectation maximization
- k means
- learning vector quantization
- em algorithm
- topology preserving
- input data
- gaussian distribution
- probabilistic neural network
- neural gas
- growing self organizing map
- generative topographic mapping
- gaussian mixture model
- dimensionality reduction