Well-Separation and Hyperplane Transversals in High Dimensions.
Helena BergoldDaniel BertschingerNicolas GrelierWolfgang MulzerPatrick SchniderPublished in: SWAT (2022)
Keyphrases
- high dimensions
- hyperplane
- high dimensional data
- high dimensional
- data points
- input space
- support vector
- feature space
- training samples
- high dimensional spaces
- kernel function
- support vector machine
- dimensionality reduction
- maximal margin
- poor quality
- support vectors
- svm classifier
- nearest neighbor
- convex hull
- principal components
- high dimensionality
- linearly separable
- low dimensional
- data distribution
- data sets
- image processing
- learning algorithm