Fuzzy Local Mean Discriminant Analysis for Dimensionality Reduction.
Jie XuZhenghong GuKan XiePublished in: Neural Process. Lett. (2016)
Keyphrases
- discriminant analysis
- dimensionality reduction
- linear discriminant analysis
- dimensionality reduction methods
- principal component analysis
- feature extraction
- kernel discriminant analysis
- face recognition
- graph embedding
- high dimensional data
- high dimensional
- discriminant projection
- class separability
- principal components
- low dimensional
- factor analysis
- fisher discriminant analysis
- pattern recognition
- random projections
- dimension reduction
- partial least squares
- fisher criterion
- null space
- feature selection
- lower dimensional
- data representation
- manifold learning
- high dimensionality
- singular value decomposition
- feature space
- preprocessing step
- subspace learning
- principal components analysis
- kernel trick
- linear discriminant
- unsupervised learning
- generalized linear
- discriminant subspace
- learning algorithm
- supervised dimensionality reduction
- data points
- input space
- metric learning