Feature selection using regularized neighbourhood component analysis to enhance the classification performance of motor imagery signals.
Nitesh Singh MalanShiru SharmaPublished in: Comput. Biol. Medicine (2019)
Keyphrases
- component analysis
- motor imagery
- blind source separation
- feature selection
- eeg signals
- eeg data
- independent component analysis
- classification accuracy
- support vector
- text classification
- factor analysis
- feature set
- feature space
- support vector machine
- pattern recognition
- non stationary
- feature extraction
- negative matrix factorization
- machine learning
- brain computer interface
- pattern classification
- model selection
- text categorization
- data mining
- image classification
- signal processing
- support vector machine svm
- supervised learning
- grassmann manifold
- sparse representation
- principal component analysis
- multiscale
- linear transform