A New Approach for Supervised Dimensionality Reduction.
Yinglei SongYongzhong LiJunfeng QuPublished in: Int. J. Data Warehous. Min. (2018)
Keyphrases
- supervised dimensionality reduction
- linear transformation
- dimensionality reduction
- least squares
- lower dimensional
- linear discriminant analysis
- fisher discriminant analysis
- kernel trick
- scatter matrices
- multimodal data
- data points
- high dimensional
- discriminative learning
- graph embedding
- low dimensional
- high dimensional data
- kernel methods
- discriminant analysis
- dimensionality reduction methods
- feature extraction
- original data
- input space
- learning algorithm
- computer vision