Dimension Reduction via Colour Refinement.
Martin GroheKristian KerstingMartin MladenovErkal SelmanPublished in: ESA (2014)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- data mining and machine learning
- high dimensional
- high dimensional problems
- singular value decomposition
- high dimensional data
- random projections
- feature selection
- variable selection
- low dimensional
- discriminative information
- manifold learning
- partial least squares
- high dimensionality
- dimensionality reduction
- cluster analysis
- linear discriminant analysis
- feature space
- preprocessing
- machine learning
- high dimensional data analysis
- training data
- image processing
- computer vision