Dimension Reduction via Colour Refinement.
Martin GroheKristian KerstingMartin MladenovErkal SelmanPublished in: CoRR (2013)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional
- high dimensional data
- variable selection
- feature selection
- high dimensionality
- linear discriminant analysis
- partial least squares
- dimensionality reduction
- unsupervised learning
- cluster analysis
- data mining and machine learning
- random projections
- manifold learning
- singular value decomposition
- high dimensional problems
- feature space
- low dimensional
- dimension reduction methods
- discriminative information
- high dimensional data analysis
- object recognition
- image sequences
- data sets
- sparse metric learning
- training samples
- nearest neighbor
- computer vision
- learning algorithm