Adaptive and fuzzy locality discriminant analysis for dimensionality reduction.
Jingyu WangHengheng YinFeiping NieXuelong LiPublished in: Pattern Recognit. (2024)
Keyphrases
- discriminant analysis
- dimensionality reduction
- linear discriminant analysis
- dimensionality reduction methods
- principal component analysis
- feature extraction
- kernel discriminant analysis
- graph embedding
- fisher discriminant analysis
- face recognition
- discriminant projection
- high dimensional data
- class separability
- low dimensional
- data representation
- kernel trick
- dimension reduction
- factor analysis
- fisher linear discriminant analysis
- fisher criterion
- high dimensional
- feature space
- principal components
- pattern recognition
- manifold learning
- partial least squares
- high dimensionality
- subspace learning
- supervised dimensionality reduction
- generalized linear
- input space
- linear discriminant
- discriminant subspace
- locality preserving
- preprocessing step
- unsupervised learning
- feature selection
- null space
- lower dimensional
- neural network
- singular value decomposition
- multi class
- data analysis