Comparison of Principal Component Analysis and Partial Least Square Discriminant Analysis in the Classification of EEG signals.
Abu Talha KhanSadia AfrinTanzilur RahmanPublished in: SiPS (2018)
Keyphrases
- discriminant analysis
- eeg signals
- principal component analysis
- partial least squares
- fisher linear discriminant analysis
- feature extraction
- linear discriminant analysis
- dimensionality reduction methods
- face recognition
- fisher criterion
- dimension reduction
- kernel principal component analysis
- regression method
- feature space
- discriminant subspace
- kernel discriminant analysis
- motor imagery
- factor analysis
- support vector machine svm
- signal processing
- dimensionality reduction
- extracted features
- brain computer interface
- classification accuracy
- pattern recognition
- low dimensional
- decision trees
- eeg data
- fisher linear discriminant
- independent component analysis
- support vector machine
- feature vectors
- generalization ability
- supervised learning
- computer vision
- data mining
- data sets