Lattice independent component analysis feature selection on diffusion weighted imaging for Alzheimer's disease classification.
Maite TermenonManuel GrañaA. BesgaJ. EchevesteA. Gonzalez-PintoPublished in: Neurocomputing (2013)
Keyphrases
- independent component analysis
- feature selection
- classification accuracy
- principal component analysis
- independent components
- principle component analysis
- factor analysis
- signal processing
- feature space
- eeg data
- feature set
- pattern recognition
- machine learning
- blind source separation
- support vector
- dimension reduction
- support vector machine
- feature extraction
- feature vectors
- unsupervised learning
- model selection
- source separation
- mutual information
- support vector machine svm