Visualizing Similarities in High Dimensional Input Spaces with a Growing and Splitting Neural Network.
Monika KöhleDieter MerklPublished in: ICANN (1996)
Keyphrases
- neural network
- high dimensional
- desired output
- discrete data
- similarity measure
- fuzzy logic
- neural network model
- dimensionality reduction
- input data
- similarity search
- low dimensional spaces
- neural network is trained
- output space
- self organizing maps
- back propagation
- high dimensional data
- low dimensional
- multi dimensional
- artificial neural networks
- parameter space
- manifold learning
- multi layer
- activation function
- feature space
- genetic algorithm