On the Equivalence of Linear Discriminant Analysis and Least Squares Regression.
Feiping NieHong ChenShiming XiangChangshui ZhangShuicheng YanXuelong LiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- support vector
- small sample size
- dimension reduction
- feature extraction
- discriminant features
- principal components analysis
- support vector machine svm
- null space
- feature space
- high dimensional data
- dealing with high dimensional data
- fisher criterion
- subspace methods
- discriminative information
- linear discriminant
- equivalence relationship
- multivariate statistical
- locality preserving projections
- discriminant information
- generalized discriminant analysis
- distance measure
- least squares
- pattern recognition
- subspace analysis
- computer vision
- data mining