Dimensionality reduction under scrutiny.
Yang YangZewen K. TuongDi YuPublished in: Nat. Comput. Sci. (2023)
Keyphrases
- dimensionality reduction
- high dimensional
- high dimensional data
- principal component analysis
- random projections
- feature extraction
- pattern recognition
- low dimensional
- pattern recognition and machine learning
- data representation
- high dimensionality
- singular value decomposition
- input space
- manifold learning
- linear projection
- linear discriminant analysis
- principal components
- diffusion maps
- preprocessing step
- dimensionality reduction methods
- feature space
- dimension reduction
- linear dimensionality reduction
- euclidean distance
- principal components analysis
- lower dimensional
- data points
- metric learning
- feature selection
- database
- multi class
- discriminant analysis
- structure preserving
- graph embedding
- intrinsic dimensionality
- kernel pca
- computer vision
- artificial intelligence
- genetic algorithm
- data mining