Analyzing phase transitions in high-dimensional self-organizing maps.
Maximilian RiesenhuberHans-Ulrich BauerTheo GeiselPublished in: Biol. Cybern. (1996)
Keyphrases
- self organizing maps
- phase transition
- high dimensional
- constraint satisfaction
- neural network
- random constraint satisfaction problems
- satisfiability problem
- competitive learning
- hard problems
- low dimensional
- neural gas
- input data
- unsupervised learning
- randomly generated
- np complete problems
- np complete
- random graphs
- cellular automata
- random instances
- network anomaly detection
- gene expression data
- sat problem
- som neural network
- dimensionality reduction
- data points
- reinforcement learning
- learning algorithm
- graph coloring
- k means
- feature space
- pairwise
- orders of magnitude
- special case