A Brief Survey of Dimension Reduction.
Li SongHongbin MaMei WuZilong ZhouMengyin FuPublished in: IScIDE (2018)
Keyphrases
- dimension reduction
- feature extraction
- high dimensional
- principal component analysis
- high dimensional problems
- singular value decomposition
- low dimensional
- variable selection
- manifold learning
- feature selection
- partial least squares
- linear discriminant analysis
- random projections
- high dimensionality
- high dimensional data
- data mining and machine learning
- unsupervised learning
- cluster analysis
- feature space
- dimensionality reduction
- discriminative information
- preprocessing
- sparse metric learning
- dimension reduction methods
- data sets
- pairwise
- high dimensional data analysis
- learning algorithm