Dimension Reduction by Random Hyperplane Tessellations.
Yaniv PlanRoman VershyninPublished in: Discret. Comput. Geom. (2014)
Keyphrases
- dimension reduction
- hyperplane
- feature space
- data points
- principal component analysis
- high dimensional
- input space
- high dimensional data
- principal components
- training samples
- dimensionality reduction
- low dimensional
- support vector
- high dimensionality
- feature extraction
- maximum margin
- linear discriminant analysis
- feature selection
- support vector machine
- variable selection
- kernel function
- singular value decomposition
- convex hull
- cluster analysis
- support vectors
- preprocessing
- unsupervised learning
- classification accuracy
- database
- face recognition
- training data
- training set
- feature vectors
- kernel methods
- clustering method