Visual approach to supervised variable selection by self-organizing map.
Timo SimiläSampsa LainePublished in: Int. J. Neural Syst. (2005)
Keyphrases
- variable selection
- self organizing maps
- unsupervised learning
- cross validation
- input variables
- model selection
- neural network
- high dimensional
- dimension reduction
- feature selection
- som neural network
- competitive learning
- learning vector quantization
- input data
- growing self organizing map
- topology preserving
- semi supervised
- k means
- high dimensional data
- supervised learning
- selection criterion
- probabilistic neural network
- image data
- expectation maximization
- pairwise
- preprocessing
- object recognition
- pattern recognition
- training data
- computer vision