Visualization of the Feature Space of Neural Networks.
Carlos M. AlaízÁngela FernándezJosé R. DorronsoroPublished in: ESANN (2020)
Keyphrases
- feature space
- neural network
- self organizing maps
- mean shift
- high dimensional
- feature vectors
- genetic algorithm
- fuzzy logic
- recurrent neural networks
- training samples
- dimensionality reduction
- artificial neural networks
- input space
- neural nets
- interactive visualization
- high dimensionality
- high dimensional feature space
- image representation
- back propagation
- pattern recognition
- visualization tools
- feature set
- neural network model
- training set
- input data
- feature extraction
- information visualization
- visualization tool
- dissimilarity measure
- multi layer
- data visualization
- data analysis
- feed forward
- principal component analysis
- low dimensional
- kernel function
- support vector machine
- euclidean space
- radial basis function
- linear discriminant analysis
- kernel methods
- visual representation
- fault diagnosis