Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context.
Françoise FessantPatrice AkninLatifa OukhellouSophie MidenetPublished in: IWANN (1) (2001)
Keyphrases
- self organizing maps
- mahalanobis distance
- unsupervised learning
- som neural network
- supervised learning
- pattern recognition
- euclidean distance
- feature selection
- noise model
- text classification
- model selection
- semi supervised
- machine learning
- neural network
- feature vectors
- decision trees
- multiscale
- dimensionality reduction
- neural gas
- distance measure
- covariance matrix
- metric learning