Nonparametric Dimension Reduction via Maximizing Pairwise Separation Probability.
Le YangShiji SongYanshang GongHuang GaoCheng WuPublished in: IEEE Trans. Neural Networks Learn. Syst. (2019)
Keyphrases
- dimension reduction
- pairwise
- high dimensional problems
- feature extraction
- principal component analysis
- high dimensional data
- low dimensional
- high dimensional
- singular value decomposition
- data mining and machine learning
- variable selection
- random projections
- scatter matrices
- feature space
- discriminative information
- dimensionality reduction
- unsupervised learning
- loss function
- cluster analysis
- partial least squares
- manifold learning
- high dimensional data analysis
- high dimensionality
- linear discriminant analysis
- preprocessing
- discriminant analysis
- spectral clustering
- data representation
- object recognition
- dimension reduction methods
- feature selection
- data sets
- text classification
- semi supervised