Classification and Visualization of Multiclass fMRI Data Using Supervised Self-Organizing Maps.
Lars HausfeldRoberta SantoroGiancarlo ValenteElia FormisanoPublished in: PRNI (2012)
Keyphrases
- self organizing maps
- multi class
- unsupervised learning
- multiclass classification
- support vector machine
- binary classifiers
- cost sensitive classification
- multiple classes
- multiclass support vector machines
- feature selection
- multi class classification
- multi class classifier
- cost sensitive
- multiclass problems
- error correcting output codes
- supervised learning
- binary classification
- single class
- neural network
- machine learning
- classification accuracy
- pattern recognition
- kernel fisher
- input data
- semi supervised
- support vector
- visualization methods
- binary classification problems
- text classification
- nonlinear kernel
- feature space
- data sets
- model selection
- decision trees
- data analysis
- multi class problems
- k means
- cost sensitive learning
- knn
- support vector machine svm
- active learning
- multi label classification
- dimensionality reduction
- image classification
- class imbalance
- feature extraction
- multiclass learning
- multi task