Dimension reduction in EEG data using Particle Swarm Optimization.
Adham AtyabiMartin H. LuerssenSean P. FitzgibbonDavid M. W. PowersPublished in: IEEE Congress on Evolutionary Computation (2012)
Keyphrases
- dimension reduction
- eeg data
- independent component analysis
- principal component analysis
- brain computer interface
- eeg signals
- high dimensional
- feature extraction
- high dimensional problems
- singular value decomposition
- high dimensional data
- dimensionality reduction
- blind source separation
- low dimensional
- feature selection
- high dimensionality
- manifold learning
- linear discriminant analysis
- cluster analysis
- brain activity
- neural network
- sparse representation
- clustering method
- unsupervised learning
- feature space
- preprocessing
- training data
- data sets