An n-Spheres Based Synthetic Data Generator for Supervised Classification.
Javier Sánchez-MonederoPedro Antonio GutiérrezMaría Pérez-OrtizCésar Hervás-MartínezPublished in: IWANN (1) (2013)
Keyphrases
- synthetic data
- supervised classification
- supervised learning
- unsupervised learning
- data sets
- unsupervised clustering
- real world
- supervised classifiers
- unsupervised classification
- mri data
- land cover
- statistical learning theory
- real image data
- remotely sensed images
- real life
- machine learning
- land cover classification
- feature extraction
- database