An Orthogonal Locality and Globality Dimensionality Reduction Method Based on Twin Eigen Decomposition.
Shuzhi SuGang ZhuYanmin ZhuPublished in: IEEE Access (2021)
Keyphrases
- discriminant projection
- eigendecomposition
- dimensionality reduction methods
- dimensionality reduction
- covariance matrix
- principal component analysis
- low rank
- spectral clustering
- principal components analysis
- discriminant analysis
- manifold learning
- kernel matrix
- knn
- similarity matrix
- high dimensional data
- preprocessing step
- data sets
- distance measure
- low dimensional
- linear discriminant analysis
- feature space
- feature extraction
- random projections
- singular value decomposition
- sparse representation
- similarity search
- training samples
- unsupervised learning
- high dimensional
- pairwise
- information retrieval
- machine learning