Analysis of dimension reduction by PCA and AdaBoost on spelling paradigm EEG data.
Asil YildirimUgur HaliciPublished in: BMEI (2013)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- linear discriminant analysis
- dimensionality reduction
- low dimensional
- independent component analysis
- high dimensional
- feature space
- feature selection
- principle component analysis
- high dimensional data
- unsupervised learning
- face recognition
- learning algorithm
- discriminant analysis
- data analysis
- principal components
- manifold learning
- principal components analysis
- qr decomposition
- dimension reduction methods