The Impact of PSO Based Dimension Reduction on EEG Classification.
Adham AtyabiMartin H. LuerssenSean P. FitzgibbonDavid M. W. PowersPublished in: Brain Informatics (2012)
Keyphrases
- dimension reduction
- feature extraction
- discriminative information
- feature selection
- principal component analysis
- high dimensionality
- data mining and machine learning
- high dimensional
- feature space
- variable selection
- high dimensional problems
- linear discriminant analysis
- singular value decomposition
- high dimensional data
- unsupervised learning
- high dimensional data analysis
- low dimensional
- manifold learning
- random projections
- dimension reduction methods
- partial least squares
- principle component analysis
- support vector machine svm
- cluster analysis
- preprocessing
- signal processing
- dimensionality reduction
- supervised learning
- eeg signals
- feature vectors
- neural network
- support vector machine
- active learning
- feature construction
- pairwise
- pattern recognition
- qr decomposition
- support vector
- machine learning