A novel dimensionality reduction method with discriminative generalized eigen-decomposition.
Xiumei WangWeifang LiuJie LiXinbo GaoPublished in: Neurocomputing (2016)
Keyphrases
- eigendecomposition
- dimensionality reduction methods
- dimensionality reduction
- covariance matrix
- discriminant analysis
- feature extraction
- principal component analysis
- spectral clustering
- preprocessing step
- data sets
- knn
- principal components analysis
- low rank
- random projections
- unsupervised learning
- distance measure
- nearest neighbor
- k means
- kernel matrix
- image processing
- computer vision
- high dimensional data
- low dimensional
- singular value decomposition
- semi supervised
- high dimensional
- pattern recognition
- similarity matrix