A comparison of dimensionality reduction techniques for the P300 response.
Sercan Taha AhiHiroyuki KambaraYasuharu KoikePublished in: i-CREATe (2009)
Keyphrases
- dimensionality reduction
- pattern recognition
- feature space
- data representation
- low dimensional
- high dimensional data
- high dimensionality
- feature extraction
- principal component analysis
- structure preserving
- databases
- graph embedding
- random projections
- manifold learning
- principal components
- data points
- multi agent
- feature selection
- neural network