Efficient dimension reduction for high-dimensional matrix-valued data.
Dong WangHaipeng ShenYoung TruongPublished in: Neurocomputing (2016)
Keyphrases
- dimension reduction
- valued data
- high dimensional
- high dimensional problems
- low dimensional
- singular value decomposition
- high dimensional data
- feature space
- high dimensionality
- matrix valued
- principal component analysis
- dimensionality reduction
- feature extraction
- manifold learning
- unsupervised learning
- qr decomposition
- similarity search
- cluster analysis
- feature selection
- least squares
- low rank
- data points
- preprocessing
- covariance matrix
- linear discriminant analysis
- nearest neighbor
- covariance matrices
- pattern recognition