A novel dimensionality reduction method for pattern classification.
Benson S. Y. LamHong YanPublished in: SMC (2007)
Keyphrases
- pattern classification
- dimensionality reduction methods
- dimensionality reduction
- feature extraction
- discriminant projection
- discriminant analysis
- principal component analysis
- pattern recognition
- preprocessing step
- data sets
- knn
- distance measure
- kernel trick
- principal components analysis
- high dimensional data analysis
- k nearest neighbor
- maximum margin
- high dimensional data
- linear discriminant analysis
- random projections
- feature selection
- singular value decomposition
- feature space
- feature set
- discriminant embedding
- manifold learning
- dimension reduction
- document clustering
- high dimensionality
- unsupervised learning
- low dimensional
- preprocessing
- nearest neighbor
- lower dimensional
- partial least squares
- feature vectors
- high dimensional
- multiscale
- face recognition
- computer vision